WorldWideScience

Sample records for learning behavioral studies

  1. Learning Analytics focused on student behavior. Case study: dropout in distance learning institutions

    Directory of Open Access Journals (Sweden)

    Jose Aguilar

    2017-04-01

    Full Text Available Normally, Learning Analytics (LA can be focused on the analysis of the learning process or the student behavior. In this paper is analyzed the use of LA in the context of distance learning universities, particularly focuses on the students’ behavior. We propose to use a new concept, called "Autonomic Cycle of Learning Analysis Tasks", which defines a set of tasks of LA, whose common objective is to achieve an improvement in the process under study. In this paper, we develop the "Autonomic Cycle of LA Tasks" to analyze the dropout in distance learning institutions. We use a business intelligence methodology in order to develop the "Autonomic Cycle of LA Tasks" for the analysis of the dropout in distance learning. The Autonomic Cycle identifies factors that influence the decision of a student to abandon their studies, predicts the potentially susceptible students to abandon their university studies, and define a motivational pattern for these students.

  2. Robotic Fish to Aid Animal Behavior Studies and Informal Science Learning

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    Phamduy, Paul

    The application of robotic fish in the fields of animal behavior and informal science learning are new and relatively untapped. In the context of animal behavior studies, robotic fish offers a consistent and customizable stimulus that could contribute to dissect the determinants of social behavior. In the realm of informal science learning, robotic fish are gaining momentum for the possibility of educating the general public simultaneously on fish physiology and underwater robotics. In this dissertation, the design and development of a number of robotic fish platforms and prototypes and their application in animal behavioral studies and informal science learning settings are presented. Robotic platforms for animal behavioral studies focused on the utilization replica or same scale prototypes. A novel robotic fish platform, featuring a three-dimensional swimming multi-linked robotic fish, was developed with three control modes varying in the level of robot autonomy offered. This platform was deployed at numerous science festivals and science centers, to obtain data on visitor engagement and experience.

  3. The effect of learning styles and study behavior on success of preclinical students in pharmacology.

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    Asci, Halil; Kulac, Esin; Sezik, Mekin; Cankara, F Nihan; Cicek, Ekrem

    2016-01-01

    To evaluate the effect of learning styles and study behaviors on preclinical medical students' pharmacology exam scores in a non-Western setting. Grasha-Reichmann Student Learning Study Scale and a modified Study Behavior Inventory were used to assess learning styles and study behaviors of preclinical medical students (n = 87). Logistic regression models were used to evaluate the independent effect of gender, age, learning style, and study behavior on pharmacology success. Collaborative (40%) and competitive (27%) dominant learning styles were frequent in the cohort. The most common study behavior subcategories were study reading (40%) and general study habits (38%). Adequate listening and note-taking skills were associated with pharmacology success, whereas students with adequate writing skills had lower exam scores. These effects were independent of gender. Preclinical medical students' study behaviors are independent predictive factors for short-term pharmacology success.

  4. Learning and Behavior

    Science.gov (United States)

    ... List About PPMD Events News Login By Area Learning & Behavior Attention, Listening & Learning Autism Spectrum Disorder (ASD) ... Care Guidelines ❯ By Area ❯ Learning & Behavior Share Print Learning & Behavior Facts to Remember People with Duchenne may ...

  5. Patterns in clinical students' self-regulated learning behavior: a Q-methodology study.

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    Berkhout, Joris J; Teunissen, Pim W; Helmich, Esther; van Exel, Job; van der Vleuten, Cees P M; Jaarsma, Debbie A D C

    2017-03-01

    Students feel insufficiently supported in clinical environments to engage in active learning and achieve a high level of self-regulation. As a result clinical learning is highly demanding for students. Because of large differences between students, supervisors may not know how to support them in their learning process. We explored patterns in undergraduate students' self-regulated learning behavior in the clinical environment, to improve tailored supervision, using Q-methodology. Q-methodology uses features of both qualitative and quantitative methods for the systematic investigation of subjective issues by having participants sort statements along a continuum to represent their opinion. We enrolled 74 students between December 2014 and April 2015 and had them characterize their learning behavior by sorting 52 statements about self-regulated learning behavior and explaining their response. The statements used for the sorting were extracted from a previous study. The data was analyzed using by-person factor analysis to identify clusters of individuals with similar sorts of the statements. The resulting factors and qualitative data were used to interpret and describe the patterns that emerged. Five resulting patterns were identified in students' self-regulated learning behavior in the clinical environment, which we labelled: Engaged, Critically opportunistic, Uncertain, Restrained and Effortful. The five patterns varied mostly regarding goals, metacognition, communication, effort, and dependence on external regulation for learning. These discrete patterns in students' self-regulated learning behavior in the clinical environment are part of a complex interaction between student and learning context. The results suggest that developing self-regulated learning behavior might best be supported regarding individual students' needs.

  6. Web-Based Instruction, Learning Effectiveness and Learning Behavior: The Impact of Relatedness

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    Shieh, Chich-Jen; Liao, Ying; Hu, Ridong

    2013-01-01

    This study aims to discuss the effects of Web-based Instruction and Learning Behavior on Learning Effectiveness. Web-based Instruction contains the dimensions of Active Learning, Simulation-based Learning, Interactive Learning, and Accumulative Learning; and, Learning Behavior covers Learning Approach, Learning Habit, and Learning Attitude. The…

  7. The Relationships among Learning Behaviors, Major Satisfaction, and Study Skills of First-Year Medical Students.

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    Park, Minjung

    2011-06-01

    This study aims at increasing our understanding of first-year medical students' learning behaviors, major satisfaction, and study skills. We investigate different features of freshmen's behavior in relation to learning and explore the extent to which freshmen were satisfied with their major and perceived their study skills. A total of 106 freshmen participated in this study. At midyear, first-year medical students were asked to complete a questionnaire that included the learning behaviors, major satisfaction, and study skills. The data collected from the survey were analyzed using t-test, ANOVA, chi-square test, correlation analysis, and multiple regression analysis. The study reported that most of freshmen had a lot of difficulties in studying at medical school by lack of prior learning. Despite first-year students, they were studying hard their major. Freshmen spent studying an average of 1 hour or less than 2 hours every day. The study also indicated that of major satisfaction, the overall satisfaction of the department was the highest and the satisfaction in learning environment was the lowest. There were significant differences among the freshmen on the major satisfaction due to admission process, academic performance, and housing type. Of 11 study skills, while freshman highly perceived their teamwork, stress management, and reading skills, their weak study skills identified in this study were writing, note taking, time management, and test taking skills. There were significant differences among the freshmen on the study skills due to gender and academic performance. Finally, freshmen's learning behaviors and major satisfaction were significantly associated with some of study skills. This study may have implications for the academic adjustment and learning processes in the first year. We need to consider variables such as learning behaviors, major satisfaction, and study skills, when discussing about how to maximize the learning potential of medical students

  8. THE CONCEPT OF LANGUAGE LEARNING IN BEHAVIORISM PERSPECTIVE

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    Khoiru Rakhman Abidin

    2016-07-01

    Full Text Available The aims of the study are (1 the concepts of language learning in behaviorism perspective, (2 the relation between language and learning in behaviorism perspective, (3 the influence of behaviorism in language learning. This is a descriptive qualitative study. The results showed that (1 behaviorism theories of languages also give good contribution in language learning process that describes a child can learn language from their environments, (2 behaviorism perspective defines as change of behavior through experience, it means human learn something from their environments, (3 human uses language for communication in the world and he also spreads his culture with his language so  human gets  knowledge of language through learning.

  9. Examining Culture's Impact on the Learning Behaviors of International Students from Confucius Culture Studying in Western Online Learning Context

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    Kang, Haijun; Chang, Bo

    2016-01-01

    There is a lack of shared understanding of how culture impacts learning in online environment. Utilizing document analysis, the authors in this research study culture's impact on the learning behaviors of student sojourners from Confucius culture studying in Western online learning context. The shared understandings of Confucius culture and…

  10. Enriching behavioral ecology with reinforcement learning methods.

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    Frankenhuis, Willem E; Panchanathan, Karthik; Barto, Andrew G

    2018-02-13

    This article focuses on the division of labor between evolution and development in solving sequential, state-dependent decision problems. Currently, behavioral ecologists tend to use dynamic programming methods to study such problems. These methods are successful at predicting animal behavior in a variety of contexts. However, they depend on a distinct set of assumptions. Here, we argue that behavioral ecology will benefit from drawing more than it currently does on a complementary collection of tools, called reinforcement learning methods. These methods allow for the study of behavior in highly complex environments, which conventional dynamic programming methods do not feasibly address. In addition, reinforcement learning methods are well-suited to studying how biological mechanisms solve developmental and learning problems. For instance, we can use them to study simple rules that perform well in complex environments. Or to investigate under what conditions natural selection favors fixed, non-plastic traits (which do not vary across individuals), cue-driven-switch plasticity (innate instructions for adaptive behavioral development based on experience), or developmental selection (the incremental acquisition of adaptive behavior based on experience). If natural selection favors developmental selection, which includes learning from environmental feedback, we can also make predictions about the design of reward systems. Our paper is written in an accessible manner and for a broad audience, though we believe some novel insights can be drawn from our discussion. We hope our paper will help advance the emerging bridge connecting the fields of behavioral ecology and reinforcement learning. Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

  11. Procrastinating Behavior in Computer-Based Learning Environments to Predict Performance: A Case Study in Moodle.

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    Cerezo, Rebeca; Esteban, María; Sánchez-Santillán, Miguel; Núñez, José C

    2017-01-01

    Introduction: Research about student performance has traditionally considered academic procrastination as a behavior that has negative effects on academic achievement. Although there is much evidence for this in class-based environments, there is a lack of research on Computer-Based Learning Environments (CBLEs) . Therefore, the purpose of this study is to evaluate student behavior in a blended learning program and specifically procrastination behavior in relation to performance through Data Mining techniques. Materials and Methods: A sample of 140 undergraduate students participated in a blended learning experience implemented in a Moodle (Modular Object Oriented Developmental Learning Environment) Management System. Relevant interaction variables were selected for the study, taking into account student achievement and analyzing data by means of association rules, a mining technique. The association rules were arrived at and filtered through two selection criteria: 1, rules must have an accuracy over 0.8 and 2, they must be present in both sub-samples. Results: The findings of our study highlight the influence of time management in online learning environments, particularly on academic achievement, as there is an association between procrastination variables and student performance. Conclusion: Negative impact of procrastination in learning outcomes has been observed again but in virtual learning environments where practical implications, prevention of, and intervention in, are different from class-based learning. These aspects are discussed to help resolve student difficulties at various ages.

  12. Procrastinating Behavior in Computer-Based Learning Environments to Predict Performance: A Case Study in Moodle

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    Cerezo, Rebeca; Esteban, María; Sánchez-Santillán, Miguel; Núñez, José C.

    2017-01-01

    Introduction: Research about student performance has traditionally considered academic procrastination as a behavior that has negative effects on academic achievement. Although there is much evidence for this in class-based environments, there is a lack of research on Computer-Based Learning Environments (CBLEs). Therefore, the purpose of this study is to evaluate student behavior in a blended learning program and specifically procrastination behavior in relation to performance through Data Mining techniques. Materials and Methods: A sample of 140 undergraduate students participated in a blended learning experience implemented in a Moodle (Modular Object Oriented Developmental Learning Environment) Management System. Relevant interaction variables were selected for the study, taking into account student achievement and analyzing data by means of association rules, a mining technique. The association rules were arrived at and filtered through two selection criteria: 1, rules must have an accuracy over 0.8 and 2, they must be present in both sub-samples. Results: The findings of our study highlight the influence of time management in online learning environments, particularly on academic achievement, as there is an association between procrastination variables and student performance. Conclusion: Negative impact of procrastination in learning outcomes has been observed again but in virtual learning environments where practical implications, prevention of, and intervention in, are different from class-based learning. These aspects are discussed to help resolve student difficulties at various ages. PMID:28883801

  13. Procrastinating Behavior in Computer-Based Learning Environments to Predict Performance: A Case Study in Moodle

    Directory of Open Access Journals (Sweden)

    Rebeca Cerezo

    2017-08-01

    Full Text Available Introduction: Research about student performance has traditionally considered academic procrastination as a behavior that has negative effects on academic achievement. Although there is much evidence for this in class-based environments, there is a lack of research on Computer-Based Learning Environments (CBLEs. Therefore, the purpose of this study is to evaluate student behavior in a blended learning program and specifically procrastination behavior in relation to performance through Data Mining techniques.Materials and Methods: A sample of 140 undergraduate students participated in a blended learning experience implemented in a Moodle (Modular Object Oriented Developmental Learning Environment Management System. Relevant interaction variables were selected for the study, taking into account student achievement and analyzing data by means of association rules, a mining technique. The association rules were arrived at and filtered through two selection criteria: 1, rules must have an accuracy over 0.8 and 2, they must be present in both sub-samples.Results: The findings of our study highlight the influence of time management in online learning environments, particularly on academic achievement, as there is an association between procrastination variables and student performance.Conclusion: Negative impact of procrastination in learning outcomes has been observed again but in virtual learning environments where practical implications, prevention of, and intervention in, are different from class-based learning. These aspects are discussed to help resolve student difficulties at various ages.

  14. A Review of Empirical Studies Investigating Antecedents and Consequences of Collective Learning Behaviors in Hospitals

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    Florina D. Spânu

    2013-01-01

    Full Text Available This study is a systematic review of the field research conducted in medical settings investigating collective learning behaviors. The review was driven by several research foci. Our main interest was in identifying antecedents and consequences of collective learning in hospitals. We also report results on the types of research questions addressed, research designs used, and types of medical teams investigated. Twelve studies met our inclusion criteria. Our findings revealed that highly contextualized studies that use different ways of measuring learning, different ways of conceptualizing medical teams, and different research methodologies, discuss similar antecedents. Variables like leadership behaviors, unit interpersonal climate, and hierarchical position were found to play a role in explaining organizational learning in hospitals across studies. We also found that despite an intense public discourse on the link between collective learning processes and patients’ safety and medical organizations’ performance, few studies actually report empirical data supporting this relationship.

  15. Catalog Learning: Carabid Beetles Learn to Manipulate with Innate Coherent Behavioral Patterns

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    Zhanna Reznikova

    2013-07-01

    Full Text Available One of the most fascinating problems in comparative psychology is how learning contributes to solving specific functional problems in animal life, and which forms of learning our species shares with non-human animals. Simulating a natural situation of territorial conflicts between predatory carabids and red wood ants in field and laboratory experiments, we have revealed a relatively simple and quite natural form of learning that has been overlooked. We call it catalog learning, the name we give to the ability of animals to establish associations between stimuli and coherent behavioral patterns (patterns consist of elementary motor acts that have a fixed order. Instead of budgeting their motor acts gradually, from chaotic to rational sequences in order to learn something new, which is characteristic for a conditioning response, animals seem to be “cataloguing” their repertoire of innate coherent behavioral patterns in order to optimize their response to a certain repetitive event. This form of learning can be described as “stimulus-pattern” learning. In our experiments four “wild” carabid species, whose cognitive abilities have never been studied before, modified their behavior in a rather natural manner in order to avoid damage from aggressive ants. Beetles learned to select the relevant coherent behavioral patterns from the set of seven patterns, which are common to all four species and apparently innate. We suggest that this form of learning differs from the known forms of associative learning, and speculate that it is quite universal and can be present in a wide variety of species, both invertebrate and vertebrate. This study suggests a new link between the concepts of cognition and innateness.

  16. Using Mobile Learning: Determinates Impacting Behavioral Intention

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    Lowenthal, Jeffrey N.

    2010-01-01

    This study examined the factors or determinates that impact the behavioral intention of students to use mobile learning (m-learning) technology. These determinates include performance expectancy, effort expectancy, and self-management of learning, all mediated by age, gender, or both. Regression coefficients showed strong and significant…

  17. Determining the Effects of LMS Learning Behaviors on Academic Achievement in a Learning Analytic Perspective

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    Mehmet FIRAT

    2016-01-01

    Two of the most important outcomes of learning analytics are predicting students’ learning and providing effective feedback. Learning Management Systems (LMS), which are widely used to support online and face-to-face learning, provide extensive research opportunities with detailed records of background data regarding users’ behaviors. The purpose of this study was to investigate the effects of undergraduate students’ LMS learning behaviors on their academic achievements. In line with this pur...

  18. The Impact of Individual Differences on E-Learning System Behavioral Intention

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    Liao, Peiwen; Yu, Chien; Yi, Chincheh

    This study investigated the impact of contingent variables on the relationship between four predictors and employees' behavioral intention with e-learning. Seven hundred and twenty-two employees in online training and education were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and behavioral intention with e-learning systems. The results of analysis showed that three contingent variables, gender, job title and industry, significantly influenced the perceptions of predictors and employees' behavioral intention with the e-learning system. This study also found a statistically significant moderating effect of two contingent variables, gender, job title and industry, on the relationship between predictors and e-learning system behavioral intention. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system behavioral intention. The implications of these results for the management of e-learning systems are discussed.

  19. Vicarious learning revisited: a contemporary behavior analytic interpretation.

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    Masia, C L; Chase, P N

    1997-03-01

    Beginning in the 1960s, social learning theorists argued that behavioral learning principles could not account for behavior acquired through observation. Such a viewpoint is still widely held today. This rejection of behavioral principles in explaining vicarious learning was based on three phenomena: (1) imitation that occurred without direct reinforcement of the observer's behavior; (2) imitation that occurred after a long delay following modeling; and (3) a greater probability of imitation of the model's reinforced behavior than of the model's nonreinforced or punished behavior. These observations convinced social learning theorists that cognitive variables were required to explain behavior. Such a viewpoint has progressed aggressively, as evidenced by the change in name from social learning theory to social cognitive theory, and has been accompanied by the inclusion of information-processing theory. Many criticisms of operant theory, however, have ignored the full range of behavioral concepts and principles that have been derived to account for complex behavior. This paper will discuss some problems with the social learning theory explanation of vicarious learning and provide an interpretation of vicarious learning from a contemporary behavior analytic viewpoint.

  20. The Impact of Robot Tutor Nonverbal Social Behavior on Child Learning

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    James Kennedy

    2017-04-01

    Full Text Available Several studies have indicated that interacting with social robots in educational contexts may lead to a greater learning than interactions with computers or virtual agents. As such, an increasing amount of social human–robot interaction research is being conducted in the learning domain, particularly with children. However, it is unclear precisely what social behavior a robot should employ in such interactions. Inspiration can be taken from human–human studies; this often leads to an assumption that the more social behavior an agent utilizes, the better the learning outcome will be. We apply a nonverbal behavior metric to a series of studies in which children are taught how to identify prime numbers by a robot with various behavioral manipulations. We find a trend, which generally agrees with the pedagogy literature, but also that overt nonverbal behavior does not account for all learning differences. We discuss the impact of novelty, child expectations, and responses to social cues to further the understanding of the relationship between robot social behavior and learning. We suggest that the combination of nonverbal behavior and social cue congruency is necessary to facilitate learning.

  1. Online Behavior Analysis-Based Student Profile for Intelligent E-Learning

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    Kun Liang

    2017-01-01

    Full Text Available With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students’ learning attitude and the duration of learning behavior to establish student profile. According to the E-Learning resources and learner behaviors, we also present the intelligent guide model to guide both E-Learning platform and learners to improve learning things. The study on student profile can help the E-Learning platform to meet and guide the students’ learning behavior deeply and also to provide personalized learning situation and promote the optimization of the E-Learning.

  2. Allergies and Learning/Behavioral Disorders.

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    McLoughlin, James A.; Nall, Michael

    1994-01-01

    This article describes various types of allergies, how they are diagnosed medically, and the different forms of medical treatment. It also considers how allergies may affect school learning and behavior, the connection between allergies and learning and behavioral disorders, the impact of allergy medications upon classroom performance, and various…

  3. Peer Pressure and Adaptive Behavior Learning: A Study of Adolescents in Gujrat City

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    Asma Yunus; Shahzad Khaver Mushtaq; Sobia Qaiser

    2012-01-01

    The study aims at discovering the influences of Peer Pressure on adaptive behavior learning in the adolescents. For the purpose two scales, Adaptive behavior scale (ABS) and Peer Pressure Scale (PPS) were developed to measure both variables. The Sample of the study was purposive in nature and comprised of late adolescents (n=120) i.e. 60 males and 60 females, from Gujrat city. Cronbach alpha was calculated and found to be significant for Peer Pressure Scale(PPS) and its subscales i.e. Belongi...

  4. How adolescents learn about risk perception and behavior in regards to alcohol use in light of social learning theory: a qualitative study in Bogotá, Colombia.

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    Trujillo, Elena María; Suárez, Daniel Enrique; Lema, Mariana; Londoño, Alicia

    2015-02-01

    In Colombia, the use of alcohol is one of the main risky behaviors carried out by adolescents, given that alcohol is the principal drug of abuse in this age group. Understanding how adolescents learn about risk and behavior is important in developing effective prevention programs. The Theory of Social learning underlines the importance of social interaction in the learning process. It suggests that learning can occur in three ways: a live model in which a person is enacting the desired behavior, verbal instruction when the desired behavior is described, and symbolic learning in which modeling occurs by influence of the media. This study explores these three forms of learning in the perception of risk and behavior related to the use of alcohol in a group of students between 12 and 14 years of age in Bogotá, Colombia. This is a qualitative research study, which is part of a larger study exploring the social representations of risk and alcohol use in adolescents and their communities. The sample group included 160 students from two middle schools (7th and 8th graders) in Bogotá, Colombia. Six sessions of participant observation, 12 semi-structured interviews, and 12 focus group discussions were conducted for data collection. Data were analyzed using the Atlas ti software (V7.0) (ATLAS.ti Scientific Software Development GmbH, London, UK), and categories of analysis were developed using a framework analysis approach. Adolescents can identify several risks related to the use of alcohol, which for the most part, appear to have been learned through verbal instruction. However, this risk recognition does not appear to correlate with their behavior. Parental modeling and messages conveyed by the media represent two other significant sources of learning that are constantly contradicting the messages relayed through verbal instruction and correlate to a greater extent with adolescent behavior. The three different forms of learning described by Social Learning Theory play a

  5. The impact on career development of learning opportunities and learning behavior at work

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    van der Sluis, E.C.; Poell, R.F.

    2003-01-01

    This study focuses on the individual career development process of M.B.A.s on the job, in an era emphasizing personal responsibility for learning and development. The impact of learning opportunities and individual learning behavior was analyzed through repeated measures. Hierarchical regressions

  6. Observing Animal Behavior at the Zoo: A Learning Laboratory

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    Hull, Debra B.

    2003-01-01

    Undergraduate students in a learning laboratory course initially chose a species to study; researched that species' physical and behavioral characteristics; then learned skills necessary to select, operationalize, observe, and record animal behavior accurately. After their classroom preparation, students went to a local zoo to observe the behavior…

  7. Determining the Effects of LMS Learning Behaviors on Academic Achievement in a Learning Analytic Perspective

    Directory of Open Access Journals (Sweden)

    Mehmet FIRAT

    2016-02-01

    Full Text Available Two of the most important outcomes of learning analytics are predicting students’ learning and providing effective feedback. Learning Management Systems (LMS, which are widely used to support online and face-to-face learning, provide extensive research opportunities with detailed records of background data regarding users’ behaviors. The purpose of this study was to investigate the effects of undergraduate students’ LMS learning behaviors on their academic achievements. In line with this purpose, the participating students’ online learning behaviors in LMS were examined by using learning analytics for 14 weeks, and the relationship between students’ behaviors and their academic achievements was analyzed, followed by an analysis of their views about the influence of LMS on their academic achievement. The present study, in which quantitative and qualitative data were collected, was carried out with the explanatory mixed method. A total of 71 undergraduate students participated in the study. The results revealed that the students used LMSs as a support to face-to-face education more intensively on course days (at the beginning of the related lessons and at nights on course days and that they activated the content elements the most. Lastly, almost all the students agreed that LMSs helped increase their academic achievement only when LMSs included such features as effectiveness, interaction, reinforcement, attractive design, social media support, and accessibility.

  8. Assessing Student Behaviors and Motivation for Actively Learning Biology

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    Moore, Michael Edward

    Vision and Change states that one of the major changes in the way we design biology courses should be a switch in approach from teacher-centered learning to student-centered learning and identifies active learning as a recommended methods. Studies show performance benefits for students taking courses that use active learning. What is unknown is why active learning is such an effective instructional tool and the limits of this instructional method’s ability to influence performance. This dissertation builds a case in three steps for why active learning is an effective instructional tool. In step one, I assessed the influence of different types of active learning (clickers, group activities, and whole class discussions) on student engagement behavior in one semester of two different introductory biology courses and found that active learning positively influenced student engagement behavior significantly more than lecture. For step two, I examined over four semesters whether student engagement behavior was a predictor of performance and found participation (engagement behavior) in the online (video watching) and in-class course activities (clicker participation) that I measure were significant predictors of performance. In the third, I assessed whether certain active learning satisfied the psychological needs that lead to students’ intrinsic motivation to participate in those activities when compared over two semesters and across two different institutions of higher learning. Findings from this last step show us that student’s perceptions of autonomy, competency, and relatedness in doing various types of active learning are significantly higher than lecture and consistent across two institutions of higher learning. Lastly, I tie everything together, discuss implications of the research, and address future directions for research on biology student motivation and behavior.

  9. Car-following Behavior Model Learning Using Timed Automata

    NARCIS (Netherlands)

    Zhang, Yihuan; Lin, Q.; Wang, Jun; Verwer, S.E.; Dochain, D.; Henrion, D.; Peaucelle, D.

    Learning driving behavior is fundamental for autonomous vehicles to “understand” traffic situations. This paper proposes a novel method for learning a behavioral model of car-following using automata learning algorithms. The model is interpretable for car-following behavior analysis. Frequent common

  10. Teacher Behavioral Practices: Relations to Student Risk Behaviors, Learning Barriers, and School Climate

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    Martinez, Andrew; Mcmahon, Susan D.; Coker, Crystal; Keys, Christopher B.

    2016-01-01

    Student behavioral problems pose a myriad of challenges for schools. In this study, we examine the relations among teacher and school-level constructs (i.e., teacher collaboration, supervision/discipline, instructional management), and student-related outcomes (i.e., high-risk behaviors, barriers to learning, student social-behavioral climate).…

  11. A Study of the Influence of Organizational Learning on Employees' Innovative Behavior and Work Engagement by a Cross-Level Examination

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    Lin, Hsiu-Chuan; Lee, Yuan-Duen

    2017-01-01

    The purpose of this study is to examine the influence of organizational learning on employee's innovative behavior, and further proposed the mediation effect of work engagement between the relationship of organizational learning and employee's innovative behavior. The study targets on executives and their subordinates by paired samples within the…

  12. Leaders Who Learn: The Intersection of Behavioral Science, Adult Learning and Leadership

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    Sabga, Natalya I.

    2017-01-01

    This study examines if a relationship exists among three rich research streams, specifically the behavioral science of motivation, adult learning and leadership. What motivates adult professionals to continue learning and how is that connected to their style and efficacy as leaders? An extension of literature to connect Andragogy,…

  13. Observations of Student Behavior in Collaborative Learning Groups

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    Adams, Jeffrey P.; Brissenden, Gina; Lindell, Rebecca S.; Slater, Timothy F.; Wallace, Joy

    In an effort to determine how our students were responding to the use of collaborative learning groups in our large enrollment introductory astronomy (ASTRO 101) courses, we systematically observed the behavior of 270 undergraduate students working in 48 self-formed groups. Their observed behaviors were classified as: (i) actively engaged; (ii) watching actively; (iii) watching passively; and (iv) disengaged. We found that male behavior is consistent regardless of the sex-composition of the groups. However, females were categorized as watching passively and or disengaged significantly more frequently when working in groups that contained uneven numbers of males and females. This case study observation suggests that faculty who use collaborative learning groups might find that the level of student participation in collaborative group learning activities can depend on the sex-composition of the group.

  14. Self-regulatory Behaviors and Approaches to Learning of Arts Students: A Comparison Between Professional Training and English Learning.

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    Tseng, Min-Chen; Chen, Chia-Cheng

    2017-06-01

    This study investigated the self-regulatory behaviors of arts students, namely memory strategy, goal-setting, self-evaluation, seeking assistance, environmental structuring, learning responsibility, and planning and organizing. We also explored approaches to learning, including deep approach (DA) and surface approach (SA), in a comparison between students' professional training and English learning. The participants consisted of 344 arts majors. The Academic Self-Regulation Questionnaire and the Revised Learning Process Questionnaire were adopted to examine students' self-regulatory behaviors and their approaches to learning. The results show that a positive and significant correlation was found in students' self-regulatory behaviors between professional training and English learning. The results indicated that increases in using self-regulatory behaviors in professional training were associated with increases in applying self-regulatory behaviors in learning English. Seeking assistance, self-evaluation, and planning and organizing were significant predictors for learning English. In addition, arts students used the deep approach more often than the surface approach in both their professional training and English learning. A positive correlation was found in DA, whereas a negative correlation was shown in SA between students' self-regulatory behaviors and their approaches to learning. Students with high self-regulation adopted a deep approach, and they applied the surface approach less in professional training and English learning. In addition, a SEM model confirmed that DA had a positive influence; however, SA had a negative influence on self-regulatory behaviors.

  15. Amygdala subsystems and control of feeding behavior by learned cues.

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    Petrovich, Gorica D; Gallagher, Michela

    2003-04-01

    A combination of behavioral studies and a neural systems analysis approach has proven fruitful in defining the role of the amygdala complex and associated circuits in fear conditioning. The evidence presented in this chapter suggests that this approach is also informative in the study of other adaptive functions that involve the amygdala. In this chapter we present a novel model to study learning in an appetitive context. Furthermore, we demonstrate that long-recognized connections between the amygdala and the hypothalamus play a crucial role in allowing learning to modulate feeding behavior. In the first part we describe a behavioral model for motivational learning. In this model a cue that acquires motivational properties through pairings with food delivery when an animal is hungry can override satiety and promote eating in sated rats. Next, we present evidence that a specific amygdala subsystem (basolateral area) is responsible for allowing such learned cues to control eating (override satiety and promote eating in sated rats). We also show that basolateral amygdala mediates these actions via connectivity with the lateral hypothalamus. Lastly, we present evidence that the amygdalohypothalamic system is specific for the control of eating by learned motivational cues, as it does not mediate another function that depends on intact basolateral amygdala, namely, the ability of a conditioned cue to support new learning based on its acquired value. Knowledge about neural systems through which food-associated cues specifically control feeding behavior provides a defined model for the study of learning. In addition, this model may be informative for understanding mechanisms of maladaptive aspects of learned control of eating that contribute to eating disorders and more moderate forms of overeating.

  16. Neural Behavior Chain Learning of Mobile Robot Actions

    Directory of Open Access Journals (Sweden)

    Lejla Banjanovic-Mehmedovic

    2012-01-01

    Full Text Available This paper presents a visual/motor behavior learning approach, based on neural networks. We propose Behavior Chain Model (BCM in order to create a way of behavior learning. Our behavior-based system evolution task is a mobile robot detecting a target and driving/acting towards it. First, the mapping relations between the image feature domain of the object and the robot action domain are derived. Second, a multilayer neural network for offline learning of the mapping relations is used. This learning structure through neural network training process represents a connection between the visual perceptions and motor sequence of actions in order to grip a target. Last, using behavior learning through a noticed action chain, we can predict mobile robot behavior for a variety of similar tasks in similar environment. Prediction results suggest that the methodology is adequate and could be recognized as an idea for designing different mobile robot behaviour assistance.

  17. The Learning Behaviors Scale: National Standardization in Trinidad and Tobago

    Science.gov (United States)

    Chao, Jessica L.; McDermott, Paul A.; Watkins, Marley W.; Drogalis, Anna Rhoad; Worrell, Frank C.; Hall, Tracey E.

    2018-01-01

    This study reports on the national standardization and validation of the Learning Behaviors Scale (LBS) for use in Trinidad and Tobago. The LBS is a teacher rating scale centering on observable behaviors relevant to identifying childhood approaches to classroom learning. Teachers observed a stratified sample of 900 students across the islands'…

  18. The Relationship among Self-Regulated Learning, Procrastination, and Learning Behaviors in Blended Learning Environment

    Science.gov (United States)

    Yamada, Masanori; Goda, Yoshiko; Matsuda, Takeshi; Kato, Hiroshi; Miyagawa, Hiroyuki

    2015-01-01

    This research aims to investigate the relationship among the awareness of self-regulated learning (SRL), procrastination, and learning behaviors in blended learning environment. One hundred seventy nine freshmen participated in this research, conducted in the blended learning style class using learning management system. Data collection was…

  19. Exercising during learning improves vocabulary acquisition: behavioral and ERP evidence.

    Science.gov (United States)

    Schmidt-Kassow, Maren; Kulka, Anna; Gunter, Thomas C; Rothermich, Kathrin; Kotz, Sonja A

    2010-09-20

    Numerous studies have provided evidence that physical activity promotes cortical plasticity in the adult brain and in turn facilitates learning. However, until now, the effect of simultaneous physical activity (e.g. bicycling) on learning performance has not been investigated systematically. The current study aims at clarifying whether simultaneous motor activity influences verbal learning compared to learning in a physically passive situation. Therefore the learning behavior of 12 healthy subjects (4 male, 19-33 years) was monitored over a period of 3 weeks. During that time, behavioral and electrophysiological responses to memorized materials were measured. We found a larger N400 effect and better performance in vocabulary tests when subjects were physically active during the encoding phase. Thus, our data indicate that simultaneous physical activity during vocabulary learning facilitates memorization of new items. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

  20. Extended child and caregiver benefits of behavior-based child contingency learning games.

    Science.gov (United States)

    Dunst, Carl J; Raab, Melinda; Trivette, Carol M; Wilson, Linda L; Hamby, Deborah W; Parkey, Cindy

    2010-08-01

    Findings from 2 studies of the relationship between response-contingent child behavior and child, caregiver-child, and caregiver behavior not directly associated with child contingency learning are described. The participants were 19 children with significant developmental delays and their mothers in 1 study and 22 children with significant developmental delays and their teachers in the second study. Caregivers engaged the children in learning games characterized by behavior-based contingencies for 15 weeks. Research staff observed the children and their caregivers in everyday routines and activities and rated child and caregiver behavior while the children and caregivers were not playing the games. Results from both studies showed that the degree of response-contingent responding during the games was related to child and caregiver behavior, not the focus of the contingency learning opportunities afforded the children. Implications for practice are described.

  1. Learner Behaviors and Perceptions of Autonomous Language Learning

    Science.gov (United States)

    Bekleyen, Nilüfer; Selimoglu, Figen

    2016-01-01

    The purpose of the present study was to investigate the learners' behaviors and perceptions about autonomous language learning at the university level in Turkey. It attempts to reveal what type of perceptions learners held regarding teachers' and their own responsibilities in the language learning process. Their autonomous language learning…

  2. Learning Theory and Prosocial Behavior

    Science.gov (United States)

    Rosenhan, D. L.

    1972-01-01

    Although theories of learning which stress the role of reinforcement can help us understand altruistic behaviors, it seems clear that a more complete comprehension calls for an expansion of our notions of learning, such that they incorporate affect and cognition. (Author/JM)

  3. Shifting workplace behavior to inspire learning: a journey to building a learning culture.

    Science.gov (United States)

    Schoonbeek, Sue; Henderson, Amanda

    2011-01-01

    This article discusses the process of building a learning culture. It began with establishing acceptance and connection with the nurse unit manager and the ward team. In the early phases of developing rapport, bullying became apparent. Because bullying undermines sharing and trust, the hallmarks of learning environments, the early intervention work assisted staff to recognize and counteract bullying behaviors. When predominantly positive relationships were restored, interactions that facilitated open communication, including asking questions and providing feedback-behaviors commensurate with learning in the workplace-were developed during regular in-service sessions. Staff participated in role-play and role modeling desired behaviors. Once staff became knowledgeable about positive learning interactions, reward and recognition strategies began to reinforce attitudes and behaviors that align with learning. Through rewards, all nurses had the opportunity to be recognized for their contribution. Nurses who excelled were invited to become champions to continue engaging the key stakeholders to further build the learning environment. Copyright 2011, SLACK Incorporated.

  4. Combining fMRI and behavioral measures to examine the process of human learning.

    Science.gov (United States)

    Karuza, Elisabeth A; Emberson, Lauren L; Aslin, Richard N

    2014-03-01

    Prior to the advent of fMRI, the primary means of examining the mechanisms underlying learning were restricted to studying human behavior and non-human neural systems. However, recent advances in neuroimaging technology have enabled the concurrent study of human behavior and neural activity. We propose that the integration of behavioral response with brain activity provides a powerful method of investigating the process through which internal representations are formed or changed. Nevertheless, a review of the literature reveals that many fMRI studies of learning either (1) focus on outcome rather than process or (2) are built on the untested assumption that learning unfolds uniformly over time. We discuss here various challenges faced by the field and highlight studies that have begun to address them. In doing so, we aim to encourage more research that examines the process of learning by considering the interrelation of behavioral measures and fMRI recording during learning. Copyright © 2013 Elsevier Inc. All rights reserved.

  5. Hoarding behaviors in children with learning disabilities.

    Science.gov (United States)

    Testa, Renée; Pantelis, Christos; Fontenelle, Leonardo F

    2011-05-01

    Our objective was to describe the prevalence, comorbidity, and neuropsychological profiles of children with hoarding and learning disabilities. From 61 children with learning disabilities, 16.4% exhibited hoarding as a major clinical issue. Although children with learning disabilities and hoarding displayed greater rates of obsessive-compulsive disorder (30%) as compared to those with learning disabilities without hoarding (5.9%), the majority of patients belonging to the former group did not display obsessive-compulsive disorder diagnosis. When learning disability patients with hoarding were compared to age-, sex-, and IQ-matched learning disability subjects without hoarding, hoarders exhibited a slower learning curve on word list-learning task. In conclusion, salient hoarding behaviors were found to be relatively common in a sample of children with learning disabilities and not necessarily associated with obsessive-compulsive disorder, supporting its nosological independence. It is unclear whether underlying cognitive features may play a major role in the development of hoarding behaviors in children with learning disabilities.

  6. E-Learning Turkish Language and Grammar: Analyzing Learners' Behavior

    Science.gov (United States)

    Georgalas, Panagiotis

    2012-01-01

    This study analyses the behavior and the preferences of the Greek learners of Turkish language, who use a particular e-learning website in parallel with their studies, namely: http://turkish.pgeorgalas.gr. The website offers free online material in Greek and English language for learning the Turkish language and grammar. The traffic of several…

  7. Better Behavior for Better Learning.

    Science.gov (United States)

    Novelli, Joan

    1993-01-01

    Presents strategies for banishing behavior problems in the classroom and creating a positive learning environment. The behaviors include name calling; hitting and pushing; tattling; poking and touching; overactivity; talking back; complaining about no playmates; being unprepared to work; and lying, cheating, and stealing. On-the-spot solutions are…

  8. Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning

    Science.gov (United States)

    Bouchet, Francois; Azevedo, Roger; Kinnebrew, John S.; Biswas, Gautam

    2012-01-01

    Identification of student learning behaviors, especially those that characterize or distinguish students, can yield important insights for the design of adaptation and feedback mechanisms in Intelligent Tutoring Systems (ITS). In this paper, we analyze trace data to identify distinguishing patterns of behavior in a study of 51 college students…

  9. Learning Contracts in Undergraduate Courses: Impacts on Student Behaviors and Academic Performance

    Science.gov (United States)

    Frank, Timothy; Scharf, Lauren F. V

    2013-01-01

    This project studied the effect of individualized, voluntary learning contracts for 18 students who performed poorly in the first part of the semester. Contracts were hypothesized to increase commitment and motivation, and lead to changes in behaviors and course performance. Self-reported prioritization and learning-related behaviors (completion…

  10. An interactive approach for new careers: The role of learning opportunities and learning behavior

    OpenAIRE

    van der Sluis, E.C.; Peiperl, M.A.

    2000-01-01

    This study examined the learning process at work from an individual perspective. Different kinds of learning opportunities and learning behavior were examined as (a) predictors of career development and (b) moderators of the development process on the job. Survey data from early-career MBAs were analyzed by performing hierarchical regressions and difference-of-means tests. Results indicated that the total amount of developmental job opportunities has a positive influence on individual percept...

  11. Studies of radiation effects on the indicator of behavior and learning of the nematode caenorhabditis elegans

    International Nuclear Information System (INIS)

    Sakashita, Tetsuya; Suzuki, Michiyo

    2011-01-01

    Radiation effects on the essential behavior and its higher level of learning are described mainly on authors' studies of the title nematode (N), a unique model of which, in a whole, genome is mapped, genealogy of cells is defined, and anatomical distribution and linkage of nervous cells are known. N exhibits various behaviors such as meandering on the culture agar/swimming in water responding to given stimuli like touch, temperature, and chemical. Authors have found that the locomotive activity of N is reduced by gamma-irradiation. Their subsequent irradiation study of 60 Co gamma ray at 300-900 Gy (32 Gy/sec) to wild type and cat-2 mutant lacking tyrosine hydroxylase in the presence/absence of N's food has revealed that dopaminergic nerves do not participate in the mechanism of the reduction unexpectedly. Rather, participation of an active oxygen species is suggested by their following study with H 2 O 2 , but exact nervous system responsible to the reduction is still to be elucidated in future. For radiation effect on N's associative learning, authors have used the reversal of salt preference, where Ns cultured on NaCl-containing agar covered by E. coli (food), being chemotactic to the salt, are conditioned by food removal: salt preference is reversed after learning. The gamma ray irradiation at the conditioning stage but neither before nor after learning, is found to lead to reduction of the chemotaxis (promotion of learning), and this radiation response is found to occur in N lacking gpc-1 gene coding G-protein gamma-subunit which is localized in a part of sensory nerves. Authors think this radiation effect is a modulation of nervous circuit for chemotaxis of N, but of which relation with the complicated nervous functions in higher animals is further to be elucidated in aspects of learning and memory. (T.T.)

  12. The role of conditioning, learning and dopamine in sexual behavior: a narrative review of animal and human studies.

    Science.gov (United States)

    Brom, Mirte; Both, Stephanie; Laan, Ellen; Everaerd, Walter; Spinhoven, Philip

    2014-01-01

    Many theories of human sexual behavior assume that sexual stimuli obtain arousing properties through associative learning processes. It is widely accepted that classical conditioning contributes to the etiology of both normal and maladaptive human behaviors. Despite the hypothesized importance of basic learning processes in sexual behavior, research on classical conditioning of the sexual response in humans is scarce. In the present paper, animal studies and studies in humans on the role of pavlovian conditioning on sexual responses are reviewed. Animal research shows robust, direct effects of conditioning processes on partner- and place preference. On the contrast, the empirical research with humans in this area is limited and earlier studies within this field are plagued by methodological confounds. Although recent experimental demonstrations of human sexual conditioning are neither numerous nor robust, sexual arousal showed to be conditionable in both men and women. The present paper serves to highlight the major empirical findings and to renew the insight in how stimuli can acquire sexually arousing value. Hereby also related neurobiological processes in reward learning are discussed. Finally, the connections between animal and human research on the conditionability of sexual responses are discussed, and suggestions for future directions in human research are given. Copyright © 2013 Elsevier Ltd. All rights reserved.

  13. Multidimensionality of Teachers' Graded Responses for Preschoolers' Stylistic Learning Behavior: The Learning-to-Learn Scales

    Science.gov (United States)

    McDermott, Paul A.; Fantuzzo, John W.; Warley, Heather P.; Waterman, Clare; Angelo, Lauren E.; Gadsden, Vivian L.; Sekino, Yumiko

    2011-01-01

    Assessment of preschool learning behavior has become very popular as a mechanism to inform cognitive development and promote successful interventions. The most widely used measures offer sound predictions but distinguish only a few types of stylistic learning and lack sensitive growth detection. The Learning-to-Learn Scales was designed to…

  14. Personalized learning: From neurogenetics of behaviors to designing optimal language training.

    Science.gov (United States)

    Wong, Patrick C M; Vuong, Loan C; Liu, Kevin

    2017-04-01

    Variability in drug responsivity has prompted the development of Personalized Medicine, which has shown great promise in utilizing genotypic information to develop safer and more effective drug regimens for patients. Similarly, individual variability in learning outcomes has puzzled researchers who seek to create optimal learning environments for students. "Personalized Learning" seeks to identify genetic, neural and behavioral predictors of individual differences in learning and aims to use predictors to help create optimal teaching paradigms. Evidence for Personalized Learning can be observed by connecting research in pharmacogenomics, cognitive genetics and behavioral experiments across domains of learning, which provides a framework for conducting empirical studies from the laboratory to the classroom and holds promise for addressing learning effectiveness in the individual learners. Evidence can also be seen in the subdomain of speech learning, thus providing initial support for the applicability of Personalized Learning to language. Copyright © 2016 Elsevier Ltd. All rights reserved.

  15. A Study of Learning Achievement and Learning Behavior in Biology on “Genes and Chromosomes” Using Storyline Teaching for 12th Grade Students

    OpenAIRE

    Ubonwan Leawudomchai; Kittima Panprueksa; Somsiri Singlop; Thanawuth Latwong

    2016-01-01

    The objectives of this research were to study learning achievement and learning behavior in Biology on “genes and chromosomes” using storyline teaching for 12th grade students. The sample for this research consisted of 36 twelfth grade students from Piboonbumpen Demonstration School in the first semester of 2014. The sample was randomly selected for the experimental group using cluster random sampling. The research instruments were the lesson plans using storyline teaching on g...

  16. A phenomenological memristor model for synaptic memory and learning behaviors

    Institute of Scientific and Technical Information of China (English)

    Nan Shao; Sheng-Bing Zhang; Shu-Yuan Shao

    2017-01-01

    Properties that are similar to the memory and learning functions in biological systems have been observed and reported in the experimental studies of memristors fabricated by different materials.These properties include the forgetting effect,the transition from short-term memory (STM) to long-term memory (LTM),learning-experience behavior,etc.The mathematical model of this kind of memristor would be very important for its theoretical analysis and application design.In our analysis of the existing memristor model with these properties,we find that some behaviors of the model are inconsistent with the reported experimental observations.A phenomenological memristor model is proposed for this kind of memristor.The model design is based on the forgetting effect and STM-to-LTM transition since these behaviors are two typical properties of these memristors.Further analyses of this model show that this model can also be used directly or modified to describe other experimentally observed behaviors.Simulations show that the proposed model can give a better description of the reported memory and learning behaviors of this kind of memristor than the existing model.

  17. Decentralized Reinforcement Learning of robot behaviors

    NARCIS (Netherlands)

    Leottau, David L.; Ruiz-del-Solar, Javier; Babuska, R.

    2018-01-01

    A multi-agent methodology is proposed for Decentralized Reinforcement Learning (DRL) of individual behaviors in problems where multi-dimensional action spaces are involved. When using this methodology, sub-tasks are learned in parallel by individual agents working toward a common goal. In

  18. Effects of Group Awareness and Self-Regulation Level on Online Learning Behaviors

    Science.gov (United States)

    Lin, Jian-Wei; Szu, Yu-Chin; Lai, Ching-Neng

    2016-01-01

    Group awareness can affect student online learning while self-regulation also can substantially influence student online learning. Although some studies identify that these two variables may partially determine learning behavior, few empirical studies or thorough analyses elucidate the simultaneous impact of these two variables (group awareness…

  19. How Does Self-Regulated Learning Relate to Active Procrastination and Other Learning Behaviors?

    Science.gov (United States)

    Yamada, Masanori; Goda, Yoshiko; Matsuda, Takeshi; Saito, Yutaka; Kato, Hiroshi; Miyagawa, Hiroyuki

    2016-01-01

    This research investigates the relationship between self-regulated learning awareness, procrastination, and learning behaviors in a blended learning environment. Participants included 179 first-grade university students attending a blended learning-style class that used a learning management system. Data were collected using questionnaires on…

  20. Personalized Learning: From Neurogenetics of Behaviors to Designing Optimal Language Training

    Science.gov (United States)

    Wong, Patrick C. M.; Vuong, Loan; Liu, Kevin

    2016-01-01

    Variability in drug responsivity has prompted the development of Personalized Medicine, which has shown great promise in utilizing genotypic information to develop safer and more effective drug regimens for patients. Similarly, individual variability in learning outcomes has puzzled researchers who seek to create optimal learning environments for students. “Personalized Learning” seeks to identify genetic, neural and behavioral predictors of individual differences in learning and aims to use predictors to help create optimal teaching paradigms. Evidence for Personalized Learning can be observed by connecting research in pharmacogenomics, cognitive genetics and behavioral experiments across domains of learning, which provides a framework for conducting empirical studies from the laboratory to the classroom and holds promise for addressing learning effectiveness in the individual learners. Evidence can also be seen in the subdomain of speech learning, thus providing initial support for the applicability of Personalized Learning to language. PMID:27720749

  1. Frustration-Instigated Behavior and Learned Helplessness.

    Science.gov (United States)

    Winefield, Anthony H.

    1979-01-01

    Compares M. E. P. Seligman's recent work on learned helplessness with N. R. F. Maier's 30-year-old work on frustration behavior. Notes striking similarities between the two approaches. Concludes that the learned helplessness model might explain the "abnormal fixations" that Maier reported. (Author/RL)

  2. Assessment of Readiness to Participate in Distance Learning of the Certified Florida Behavioral Workforce

    Science.gov (United States)

    Baston, George R.

    2011-01-01

    This research study explored perceptions of readiness to participate in distance learning among the certified behavioral workforce in Florida. The study sought to determine if there were significant differences in perception of readiness to participate in distance learning between certified behavioral health professionals at the administrator…

  3. The Impact on Career Development of Learning Opportunities and Learning Behavior at Work.

    Science.gov (United States)

    Van der Sluis, Lidewey E. C.; Poell, Rob E.

    2003-01-01

    Survey responses were received in 1998 (n=63) and 1999 (n=98) from master's of business administration graduates. Hierarchical regression and difference of means tests found that career development depended on learning opportunities at work and on individual learning behavior. Behavior was more predictive of objective career development measures,…

  4. Learning a decision maker's utility function from (possibly) inconsistent behavior

    DEFF Research Database (Denmark)

    Nielsen, Thomas Dyhre; Jensen, Finn Verner

    2004-01-01

    developed for learning the probabilities from a database.However, methods for learning the utilities have only received limitedattention in the computer science community. A promising approach for learning a decision maker's utility function is to takeoutset in the decision maker's observed behavioral...... patterns, and then find autility function which (together with a domain model) can explainthis behavior. That is, it is assumed that decision maker's preferences arereflected in the behavior. Standard learning algorithmsalso assume that the decision maker is behavioralconsistent, i.e., given a model ofthe...... decision problem, there exists a utility function which canaccount for all the observed behavior. Unfortunately, this assumption israrely valid in real-world decision problems, and in these situationsexisting learning methods may only identify a trivial utilityfunction. In this paper we relax...

  5. Social Learning Theory and Behavioral Therapy: Considering Human Behaviors within the Social and Cultural Context of Individuals and Families.

    Science.gov (United States)

    McCullough Chavis, Annie

    2011-01-01

    This article examines theoretical thoughts of social learning theory and behavioral therapy and their influences on human behavior within a social and cultural context. The article utilizes two case illustrations with applications for consumers. It points out the abundance of research studies concerning the effectiveness of social learning theory, and the paucity of research studies regarding effectiveness and evidence-based practices with diverse groups. Providing a social and cultural context in working with diverse groups with reference to social learning theory adds to the literature for more cultural considerations in adapting the theory to women, African Americans, and diverse groups.

  6. The antecedents of e-learning outcome: an examination of system quality, technology readiness, and learning behavior.

    Science.gov (United States)

    Ho, Li-An

    2009-01-01

    The rapid advancement of Internet and computer technology has not only influenced the way we live, but also the way we learn. Due to the implementation of e-learning in urban junior high schools in Taiwan, it has become essential to find out how external and internal factors affect junior high school students' online learning behavior, which consequently affects their learning outcome. The present study aims to propose a conceptual structural equation model to investigate the relationships among e-Learning system quality (eLSQ), technology readiness (TR), learning behavior (LB), and learning outcome (LO), and to demonstrate the direct and indirect effect of eLSQ and TR on LO from the perspectives of LB. Data collected from 10 urban junior high schools in Taiwan (N = 376) were analyzed using structural equation modeling. Results reveal that both eLSQ and TR have a direct and significant impact on LB. However, eLSQ and TR influence LO indirectly through LB. In addition, LB has a direct and positive significant influence on LO. Managerial implications are proposed and research limitations are discussed.

  7. Use of Peer Tutoring, Cooperative Learning, and Collaborative Learning: Implications for Reducing Anti-Social Behavior of Schooling Adolescents

    Science.gov (United States)

    Eskay, M.; Onu, V. C.; Obiyo, N.; Obidoa, M.

    2012-01-01

    The study investigated the use of peer tutoring, cooperative learning, and collaborative learning as strategies to reduce anti-social behavior among schooling adolescents. The study is a descriptive survey study. The area of study was Nsukka education zone in Enugu State of Nigeria. The sample of the study was 200 teachers randomly sampled from…

  8. Instructional control of reinforcement learning: a behavioral and neurocomputational investigation.

    Science.gov (United States)

    Doll, Bradley B; Jacobs, W Jake; Sanfey, Alan G; Frank, Michael J

    2009-11-24

    Humans learn how to behave directly through environmental experience and indirectly through rules and instructions. Behavior analytic research has shown that instructions can control behavior, even when such behavior leads to sub-optimal outcomes (Hayes, S. (Ed.). 1989. Rule-governed behavior: cognition, contingencies, and instructional control. Plenum Press.). Here we examine the control of behavior through instructions in a reinforcement learning task known to depend on striatal dopaminergic function. Participants selected between probabilistically reinforced stimuli, and were (incorrectly) told that a specific stimulus had the highest (or lowest) reinforcement probability. Despite experience to the contrary, instructions drove choice behavior. We present neural network simulations that capture the interactions between instruction-driven and reinforcement-driven behavior via two potential neural circuits: one in which the striatum is inaccurately trained by instruction representations coming from prefrontal cortex/hippocampus (PFC/HC), and another in which the striatum learns the environmentally based reinforcement contingencies, but is "overridden" at decision output. Both models capture the core behavioral phenomena but, because they differ fundamentally on what is learned, make distinct predictions for subsequent behavioral and neuroimaging experiments. Finally, we attempt to distinguish between the proposed computational mechanisms governing instructed behavior by fitting a series of abstract "Q-learning" and Bayesian models to subject data. The best-fitting model supports one of the neural models, suggesting the existence of a "confirmation bias" in which the PFC/HC system trains the reinforcement system by amplifying outcomes that are consistent with instructions while diminishing inconsistent outcomes.

  9. Iterative perceptual learning for social behavior synthesis

    NARCIS (Netherlands)

    de Kok, I.A.; Poppe, Ronald Walter; Heylen, Dirk K.J.

    We introduce Iterative Perceptual Learning (IPL), a novel approach to learn computational models for social behavior synthesis from corpora of human–human interactions. IPL combines perceptual evaluation with iterative model refinement. Human observers rate the appropriateness of synthesized

  10. The Impact of Cognitive Dissonance on Learning Work Behavior

    Science.gov (United States)

    Dechawatanapaisal, Decha; Siengthai, Sununta

    2006-01-01

    Purpose: This research proposes a framework, which identifies the underlying factors that shape learning behavior in the workplace. It takes organizational members' perspectives into consideration to gain better understanding on managing people and their behavior in the organizational learning process. Design/methodology/approach: Primary data…

  11. Learning Behavior Models for Interpreting and Predicting Traffic Situations

    OpenAIRE

    Gindele, Tobias

    2014-01-01

    In this thesis, we present Bayesian state estimation and machine learning methods for predicting traffic situations. The cognitive ability to assess situations and behaviors of traffic participants, and to anticipate possible developments is an essential requirement for several applications in the traffic domain, especially for self-driving cars. We present a method for learning behavior models from unlabeled traffic observations and develop improved learning methods for decision trees.

  12. Iterative Perceptual Learning for Social Behavior Synthesis

    NARCIS (Netherlands)

    de Kok, I.A.; Poppe, Ronald Walter; Heylen, Dirk K.J.

    We introduce Iterative Perceptual Learning (IPL), a novel approach for learning computational models for social behavior synthesis from corpora of human-human interactions. The IPL approach combines perceptual evaluation with iterative model refinement. Human observers rate the appropriateness of

  13. Facilitating behavioral learning and habit change in voice therapy—theoretic premises and practical strategies

    DEFF Research Database (Denmark)

    Iwarsson, Jenny

    2014-01-01

    A typical goal of voice therapy is a behavioral change in the patient’s everyday speech. The SLP’s plan for voice therapy should therefore optimally include strategies for automatization. The aim of the present study was to identify and describe factors that promote behavioral learning and habit...... are described and discussed from a learning theory perspective. Nine factors that seem to be relevant to facilitate behavioral learning and habit change in voice therapy are presented, together with related practical strategies and theoretical underpinnings. These are: 1) Cue-altering; 2) Attention exercises; 3...... change in voice behavior and have the potential to affect patient compliance and thus therapy outcome. Research literature from the areas of motor and behavioral learning, habit formation, and habit change was consulted. Also, specific elements from personal experience of clinical voice therapy...

  14. Facilitating behavioral learning and habit change in voice therapy--theoretic premises and practical strategies.

    Science.gov (United States)

    Iwarsson, Jenny

    2015-12-01

    A typical goal of voice therapy is a behavioral change in the patient's everyday speech. The SLP's plan for voice therapy should therefore optimally include strategies for automatization. The aim of the present study was to identify and describe factors that promote behavioral learning and habit change in voice behavior and have the potential to affect patient compliance and thus therapy outcome. Research literature from the areas of motor and behavioral learning, habit formation, and habit change was consulted. Also, specific elements from personal experience of clinical voice therapy are described and discussed from a learning theory perspective. Nine factors that seem to be relevant to facilitate behavioral learning and habit change in voice therapy are presented, together with related practical strategies and theoretical underpinnings. These are: 1) Cue-altering; 2) Attention exercises; 3) Repetition; 4) Cognitive activation; 5) Negative practice; 6) Inhibition through interruption; 7) Decomposing complex behavior; 8) The 'each time-every time' principle; and 9) Successive implementation of automaticity.

  15. Early adversity and learning: implications for typical and atypical behavioral development.

    Science.gov (United States)

    Hanson, Jamie L; van den Bos, Wouter; Roeber, Barbara J; Rudolph, Karen D; Davidson, Richard J; Pollak, Seth D

    2017-07-01

    Children who experience early adversity often develop emotion regulatory problems, but little is known about the mechanisms that mediate this relation. We tested whether general associative learning processes contribute to associations between adversity, in the form of child maltreatment, and negative behavioral outcomes. Eighty-one participants between 12 and 17 years of age were recruited for this study and completed a probabilistic learning Task. Forty-one of these participants had been exposed to physical abuse, a form of early adversity. Forty additional participants without any known history of maltreatment served as a comparison group. All participants (and their parents) also completed portions of the Youth Life Stress Interview to understand adolescent's behavior. We calculated measures of associative learning, and also constructed mathematical models of learning. We found that adolescents exposed to high levels of adversity early in their lives had lower levels of associative learning than comparison adolescents. In addition, we found that impaired associative learning partially explained the higher levels of behavioral problems among youth who suffered early adversity. Using mathematical models, we also found that two components of learning were specifically affected in children exposed to adversity: choice variability and biases in their beliefs about the likelihood of rewards in the environment. Participants who had been exposed to early adversity were less able than their peers to correctly learn which stimuli were likely to result in reward, even after repeated feedback. These individuals also used information about known rewards in their environments less often. In addition, individuals exposed to adversity made decisions early in the learning process as if rewards were less consistent and occurred more at random. These data suggest one mechanism through which early life experience shapes behavioral development. © 2017 Association for Child and

  16. Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies

    Science.gov (United States)

    Fournier-Viger, Philippe; Nkambou, Roger; Faghihi, Usef; Nguifo, Engelbert Mephu

    We propose two mechanisms for agent learning based on the idea of mining temporal patterns from agent behavior. The first one consists of extracting temporal patterns from the perceived behavior of other agents accomplishing a task, to learn the task. The second learning mechanism consists in extracting temporal patterns from an agent's own behavior. In this case, the agent then reuses patterns that brought self-satisfaction. In both cases, no assumption is made on how the observed agents' behavior is internally generated. A case study with a real application is presented to illustrate each learning mechanism.

  17. The causes of variation in learning and behavior: Why individual differences matter

    Directory of Open Access Journals (Sweden)

    Bruno eSauce

    2013-07-01

    Full Text Available In a seminal paper written five decades ago, Cronbach discussed the two highly distinct approaches to scientific psychology: experimental and correlational. Today, although these two approaches are fruitfully implemented and embraced across some fields of psychology, this synergy is largely absent from other areas, such as in the study of learning and behavior. Both Tolman and Hull, in a rare case of agreement, stated that the correlational approach held little promise for the understanding of behavior. Interestingly, this dismissal of the study of individual differences was absent in the biologically-oriented branches of behavior analysis, namely, behavioral genetics and ethology. Here we propose that the distinction between causation and causes of variation (with its origins in the field of genetics reveal the potential value of the correlational approach in understanding the full complexity of learning and behavior. Although the experimental approach can illuminate the causal variables that modulate learning, the analysis of individual differences can elucidate how much and in which way variables interact to support variations in learning in complex natural environments. For example, understanding that a past experience with a stimulus influences its associability provides little insight into how individual predispositions interact to modulate this influence on associability. In this new light, we discuss examples from studies of individual differences in animals’ performance in the Morris Water Maze and from our own work on individual differences in general intelligence in mice. These studies illustrate that, opposed to what Underwood famously suggested, studies of individual differences can do much more to psychology than merely providing preliminary indications of cause-effect relationships.

  18. The Impact of Inattention, Hyperactivity/Impulsivity Symptoms, and Executive Functions on Learning Behaviors of Children with ADHD.

    Science.gov (United States)

    Colomer, Carla; Berenguer, Carmen; Roselló, Belén; Baixauli, Inmaculada; Miranda, Ana

    2017-01-01

    Children diagnosed with attention deficit/hyperactivity disorder (ADHD) are at risk of experiencing lower academic achievement compared to their peers without ADHD. However, we have a limited understanding of the mechanisms underlying this association. Both the symptoms of the disorder and the executive functions can negatively influence learning behaviors, including motivation, attitude toward learning, or persistence, key aspects of the learning process. The first objective of this study was to compare different components of learning behaviors in children diagnosed with ADHD and typically developing (TD) children. The second objective was to analyze the relationships among learning behaviors, executive functioning, and symptoms of hyperactivity/impulsivity in both groups. Participants were 35 children diagnosed with ADHD and 37 with TD (7-11 years old), matched on age and IQ. The teachers filled out the Behavior Rating Inventory of Executive Function (BRIEF) and the Learning Behaviors Scale, which evaluates Competence/motivation, Attitude toward learning, Attention/persistence, and Strategy/flexibility. In addition, parents and teachers filled out the DSM-5 diagnostic criteria for ADHD. ANOVAs showed significant differences between children with ADHD and TD children on all the learning behaviors. Moreover, in both the ADHD and TD groups, the behavioral regulation index of the BRIEF predicted the search for strategies, and the metacognition index was a good predictor of motivation. However, attitude toward learning was predicted by metacognition only in the group with ADHD. Therefore, the executive functions had greater power than the typical symptoms of inattention and hyperactivity/impulsivity in predicting learning behaviors of children with ADHD. The findings are in line with other studies that support the influence of the executive functions on performance, highlighting the importance of including their development as a top priority from early ages in the

  19. Learning assessment for students with mental and behavioral disorders

    DEFF Research Database (Denmark)

    Dræby, Anders

    The session aims at presenting a learning-based model for how to conduct a comprehensive psychological evaluation of the learning resources and challenges amongst students with mental and behavioral disorders. In the learning assessment model the learning resources and challenges of the students...

  20. Self-Regulatory Behaviors and Approaches to Learning of Arts Students: A Comparison between Professional Training and English Learning

    Science.gov (United States)

    Tseng, Min-chen; Chen, Chia-cheng

    2017-01-01

    This study investigated the self-regulatory behaviors of arts students, namely memory strategy, goal-setting, self-evaluation, seeking assistance, environmental structuring, learning responsibility, and planning and organizing. We also explored approaches to learning, including deep approach (DA) and surface approach (SA), in a comparison between…

  1. NCS-1 dependent learning bonus and behavior outputs of self-directed exploration

    Science.gov (United States)

    Mun, Ho-Suk

    Animals explore a new environment and learn about their surroundings. "Exploration" refers to all activities that increase the information obtained from an animal. For this study, I determined a molecule that mediates self-directed exploration, with a particular focus on rearing behavior and vocalization. Rearing can be either self-directed exploration or escape-oriented exploration. Self-directed exploration can be driven by the desire to gather information about environments while escape-oriented exploration can be driven by fear or anxiety. To differentiate between these two concepts, I compared rearing and other behaviors in three different conditions 1) novel dim (safe environment), which induces exploration based rearing; 2) novel bright (fearful environment), which elicits fear driven rearing; and 3) familiar environment as a control. First, I characterized the effects on two distinct types of environment in exploratory behavior and its effect on learning. From this, I determined that self-directed exploration enhances spatial learning while escape-oriented exploration does not produce a learning bonus. Second, I found that NCS-1 is involved in exploration, as well as learning and memory, by testing mice with reduced levels of Ncs-1 by point mutation and also siRNA injection. Finally, I illustrated other behavior outputs and neural substrate activities, which co-occurred during either self-directed or escape-oriented exploration. I found that high-frequency ultrasonic vocalizations occurred during self-directed exploration while low-frequency calls were emitted during escape-oriented exploration. Also, with immediate early gene imaging techniques, I found hippocampus and nucleus accumbens activation in self-directed exploration. This study is the first comprehensive molecular analysis of learning bonus in self-directed exploration. These results may be beneficial for studying underlying mechanisms of neuropsychiatric disease, and also reveal therapeutic

  2. A Social Learning Model of Adolescent Contraceptive Behavior.

    Science.gov (United States)

    Balassone, Mary Lou

    1991-01-01

    Research findings and theories regarding adolescent contraceptive use are reviewed to propose an alternative framework relying on social learning theory. Environmental context, cognitive influences, and behavior execution constraints are suggested as the foundation for contraceptive behaviors. The behavioral skills teenagers need to use birth…

  3. Development of leadership behaviors in undergraduate nursing students: a service-learning approach.

    Science.gov (United States)

    Foli, Karen J; Braswell, Melanie; Kirkpatrick, Jane; Lim, Eunjung

    2014-01-01

    The purpose of this study was to determine leadership behaviors developed by nursing students and peers before and after a service-learning experience. Nurses have been called to fill growing needs in the health care setting, rendering care to vulnerable and diverse populations in a wide range of organizations. Leadership behaviors are therefore essential. Baccalaureate students (N = 65) completed the Student Leadership Practices Inventory-Self at the beginning and end of the semester. The students also rated peers using the Leadership Practices Inventory-Observer and answered six questions about service-learning. Repeated measures of analysis of variance for pre- and posttests revealed that leadership behaviors improved (p leadership course is an effective approach to the development of leadership behaviors.

  4. Motivation Matters? The Relationship among Different Types of Learning Motivation, Engagement Behaviors and Learning Outcomes of Undergraduate Students in Taiwan

    Science.gov (United States)

    Hsieh, Tzu-Ling

    2014-01-01

    The purpose of this study is to understand predictors of different learning outcomes among various student background characteristics, types of learning motivation and engagement behaviors. 178 junior students were surveyed at a 4-year research university in Taiwan. The scales of motivation, engagement and perceived learning outcomes were adapted…

  5. Middle School Teachers' Expectations of Organizational Behaviors of Students with Learning Disabilities

    Science.gov (United States)

    McMullen, Rebecca C.; Shippen, Margaret E.; Dangel, Harry L.

    2007-01-01

    The purpose of this pilot study was to investigate the specific classroom organizational behaviors that middle school inclusive teachers report as expectations for students with learning disabilities. Practicing middle school science and social studies teachers (n = 12) responded to a survey about organization behaviors of students with learning…

  6. Behavior learning in differential games and reorientation maneuvers

    Science.gov (United States)

    Satak, Neha

    The purpose of this dissertation is to apply behavior learning concepts to incomplete- information continuous time games. Realistic game scenarios are often incomplete-information games in which the players withhold information. A player may not know its opponent's objectives and strategies prior to the start of the game. This lack of information can limit the player's ability to play optimally. If the player can observe the opponent's actions, it can better optimize its achievements by taking corrective actions. In this research, a framework to learn an opponent's behavior and take corrective actions is developed. The framework will allow a player to observe the opponent's actions and formulate behavior models. The developed behavior model can then be utilized to find the best actions for the player that optimizes the player's objective function. In addition, the framework proposes that the player plays a safe strategy at the beginning of the game. A safe strategy is defined in this research as a strategy that guarantees a minimum pay-off to the player independent of the other player's actions. During the initial part of the game, the player will play the safe strategy until it learns the opponent's behavior. Two methods to develop behavior models that differ in the formulation of the behavior model are proposed. The first method is the Cost-Strategy Recognition (CSR) method in which the player formulates an objective function and a strategy for the opponent. The opponent is presumed to be rational and therefore will play to optimize its objective function. The strategy of the opponent is dependent on the information available to the opponent about other players in the game. A strategy formulation presumes a certain level of information available to the opponent. The previous observations of the opponent's actions are used to estimate the parameters of the formulated behavior model. The estimated behavior model predicts the opponent's future actions. The second

  7. Roles of Parents and Annotation Sharing in Children's Learning Behavior and Achievement Using E-Readers

    Science.gov (United States)

    Hwang, Wu-Yuin; Liu, Yi-Fan; Chen, Hon-Ren; Huang, Jian-Wun; Li, Jin-Yi

    2015-01-01

    Although previous studies have highlighted the advantages of using e-books for learning, most have compared learning achieved with traditional textbooks with that achieved with e-books in a classroom situation. These studies focused on individual learning instead of on interactions among learners, learning behavior using ebooks after school, and…

  8. A Study of the Communication Behaviors and Members' Roles in the Interaction Process of a Project-based Learning Group

    Directory of Open Access Journals (Sweden)

    Wei-Jane Lin

    2010-06-01

    Full Text Available The infusion of information and communication technology into instruction has gained the foothold within many classrooms in higher education by its advantages to enable the variety and accessibility of school teaching and learning. However, to engage students with the technology enhanced learning experiences calls for attentions on more the processes than the mere outcome of technology use. This study examines the common phenomenon in college campus where network technology, group activities and project works are available with the intention to explore how student performance of teamwork and learning is affected by the micro factors of group compositions, members’ roles and their communication behaviors. Results show that the group performed most procedure-, task-, and social-communication behaviors during the execution stage than that of preparation and completion stages. Additionally, members’ roles performed and interfered within these stages positively affected the project performance to different extent. [Article content in Chinese; Extended abstract in English

  9. Behavioral Style, Culture, and Teaching and Learning.

    Science.gov (United States)

    Hilliard, Asa G., III

    1992-01-01

    Argues that unique behavioral styles can be identified among African-American populations and that behavioral style may help explain differences in test performance for white and African-American students. Implications for all students of providing stylistic diversity in the schools and student ability to use multiple learning styles are…

  10. Beliefs and Behaviors in Learning Critical Thinking Skills

    Directory of Open Access Journals (Sweden)

    Octavian REPOLSCHI

    2015-12-01

    Full Text Available The paper will present the relation between students’ beliefs and their behaviours observed in the process of learning critical thinking skills. In the first place some consideration concerning the fundamental epistemological concepts used in the research and about the particular critical thinking skills are to be sketched. Then the testing- learning procedure will be shortly summarized. Thirdly the evaluation of beliefs, their relations with knowledge and the associated behaviors are presented. The results of the periodic testing procedures that were taking place according to the established methodology are to be discussed. Finally, some general considerations concerning the relations between beliefs, behaviors and knowledge that have emerged in the process of learning are going to be presented.

  11. Student Nutrition, Learning and Behavior.

    Science.gov (United States)

    Royster, Martha

    This discussion addresses several nutrition issues considered important to schools, students, and educators in the United States. Contents consist of a review of malnutrition and learning research and discussions of food additives and allergies, diet and hyperkinesia, the effects of caffeine and sugar on children's behavior, and the National…

  12. An explorative analysis of the links between learning behavior and change orientation

    NARCIS (Netherlands)

    Sluis, van der E.C. (Lidewey); Caluwé, L.I.A.; Nistelrooij, van A.T.M.

    2005-01-01

    The article presents an explorative study on the links between learning behavior and change orientation of individuals. When reading literature on how to develop employees and organizations, it strikes one how less focus there is on learning and change needs of individuals. This paper deals with

  13. The Learning Disabled Adolescent: Eriksonian Psychosocial Development, Self-Concept, and Delinquent Behavior.

    Science.gov (United States)

    Pickar, Daniel B.; Tori, Christopher D.

    1986-01-01

    Using a developmental perspective, this study contrasted learning and nonlearning disabled adolescents on three variables: Erikson's stages of psychosocial development; self-concept; and delinquent behavior. The results indicated that the learning disabled subjects, due to years of failing, were unable to develop a sense of industry and…

  14. Analysis of Learning Behavior in a Flipped Programing Classroom Adopting Problem-Solving Strategies

    Science.gov (United States)

    Chiang, Tosti Hsu-Cheng

    2017-01-01

    Programing is difficult for beginners because they need to learn the new language of computers. Developing software, especially complex software, is bound to result in problems, frustration, and the need to think in new ways. Identifying the learning behavior behind programing by way of empirical studies can help beginners learn more easily. In…

  15. The role of service-learning in college students' environmental literacy: Content knowledge, attitudes, and behaviors

    Science.gov (United States)

    Singletary, Joanna Lynn Bush

    This study evaluated the relationship of environmental service-learning on environmental literacy in undergraduates. The subjects were 36 undergraduates at a small liberal arts university enrolled in an environmental biology course. To determine the role of environmental service-learning on college students' environmental knowledge, attitudes, behaviors, and environmental literacy, this study utilized concurrent mixed methods approach for qualitative and quantitative analysis. A quasi-experimental repeated measures approach was the design of the quantitative component of the study. Data were collected on attitude, behavior, and content knowledge aspects of environmental literacy as measured by the Environmental Literacy Survey (Kibert, 2000). Hypotheses were tested by independent samples ttests and repeated measures ANOVA. Repeated measures ANOVA conducted on participants' three subscales scores for the Environmental Literacy Survey (attitude, behavior, and knowledge) indicated that students who participated in environmental service-learning scored statistically significantly higher than those that did not initially participate in service-learning. Qualitative data collected in the form of journal reflections and portfolios were evaluated for themes of environmental attitudes or affective statements, environmentally positive behaviors and skills, and ecological content. Quantitative and qualitative data support the positive role of environmental service-learning in the development of environmental literacy in undergraduate students.

  16. Vicarious trial-and-error behavior and hippocampal cytochrome oxidase activity during Y-maze discrimination learning in the rat.

    Science.gov (United States)

    Hu, Dan; Xu, Xiaojuan; Gonzalez-Lima, Francisco

    2006-03-01

    The present study investigated whether more vicarious trial-and-error (VTE) behavior, defined by head movement from one stimulus to another at a choice point during simultaneous discriminations, led to better visual discrimination learning in a Y-maze, and whether VTE behavior was a function of the hippocampus by measuring regional brain cytochrome oxidase (C.O.) activity, an index of neuronal metabolic activity. The results showed that the more VTEs a rat made, the better the rat learned the visual discrimination. Furthermore, both learning and VTE behavior during learning were correlated to C.O. activity in the hippocampus, suggesting that the hippocampus plays a role in VTE behavior during discrimination learning.

  17. An approach to children's smoking behavior using social cognitive learning theory.

    Science.gov (United States)

    Bektas, Murat; Ozturk, Candan; Armstrong, Merry

    2010-01-01

    This review article discusses the theoretical principles of social cognitive learning theory and children's risk-taking behavior of cigarette smoking, along with preventive initiatives. Social cognitive learning theorists examine the behavior of initiating and sustained smoking using a social systems approach. The authors discuss the reciprocal determinism aspect of the theory as applied to the importance of individual factors, and environment and behavioral interactions that influence smoking behavior. Included is the concept of vicarious capability that suggests that smoking behavior is determined in response to and interaction with feedback provided by the environment. The principle of self-regulatory capability asserts that people have control over their own behavior and thus that behavior change is possible. The principle of self-efficacy proposes that high level of self-efficacy of an individual may decrease the behavior of attempting to or continuing to smoke. Examples of initiatives to be undertaken in order to prevent smoking in accordance with social cognitive learning theory are presented at the end of each principle.

  18. Two Programs Educating the Public in Animal Learning and Behavior

    OpenAIRE

    Estep, Daniel Q.

    2002-01-01

    Two educational programs have been developed that teach basic principles of animal learning and behavior and how they can be used in day to day interactions with companion animals. The first program educates violators of animal control laws about animal learning and cat and dog behavior to help them resolve their problems with their animals and avoid future animal control violations. The second educates home service providers concerning basic principles of animal communication, dog behavior, ...

  19. The Interaction of Motivation, Self-Regulatory Strategies, and Autonomous Learning Behavior in Different Learner Groups

    Science.gov (United States)

    Kormos, Judit; Csizér, Kata

    2014-01-01

    Autonomous learning and effective self-regulatory strategies are increasingly important in foreign language learning; without these, students might not be able to exploit learning opportunities outside language classrooms. This study investigated the influence of motivational factors and self-regulatory strategies on autonomous learning behavior.…

  20. Some chaotic behaviors in a MCA learning algorithm with a constant learning rate

    International Nuclear Information System (INIS)

    Lv Jiancheng; Yi Zhang

    2007-01-01

    Douglas's minor component analysis algorithm with a constant learning rate has both stability and chaotic dynamical behavior under some conditions. The paper explores such dynamical behavior of this algorithm. Certain stability and chaos of this algorithm are derived. Waveform plots, Lyapunov exponents and bifurcation diagrams are presented to illustrate the existence of chaotic behavior

  1. Traditional Classroom vs E-learning in Higher Education: Difference between Students' Behavioral Engagement

    Directory of Open Access Journals (Sweden)

    Fei Li

    2014-03-01

    Full Text Available We discuss traditional classroom, e-learning, behavioral engagement and difference between behavioral engagements in two kind of instruction environment. Results from variance analyses suggest that there is no significant difference between engagements of active learning in different classroom conditions, and there exist significant differences on higher-level learning of innovative and critical thinking. Our findings highlight students' behavioral engagements in two environments have no significant advantage over each other, but e-learning facilitates higher-level learning better.

  2. Place learning overrides innate behaviors in Drosophila.

    Science.gov (United States)

    Baggett, Vincent; Mishra, Aditi; Kehrer, Abigail L; Robinson, Abbey O; Shaw, Paul; Zars, Troy

    2018-03-01

    Animals in a natural environment confront many sensory cues. Some of these cues bias behavioral decisions independent of experience, and action selection can reveal a stimulus-response (S-R) connection. However, in a changing environment it would be a benefit for an animal to update behavioral action selection based on experience, and learning might modify even strong S-R relationships. How animals use learning to modify S-R relationships is a largely open question. Three sensory stimuli, air, light, and gravity sources were presented to individual Drosophila melanogaster in both naïve and place conditioning situations. Flies were tested for a potential modification of the S-R relationships of anemotaxis, phototaxis, and negative gravitaxis by a contingency that associated place with high temperature. With two stimuli, significant S-R relationships were abandoned when the cue was in conflict with the place learning contingency. The role of the dunce ( dnc ) cAMP-phosphodiesterase and the rutabaga ( rut ) adenylyl cyclase were examined in all conditions. Both dnc 1 and rut 2080 mutant flies failed to display significant S-R relationships with two attractive cues, and have characteristically lower conditioning scores under most conditions. Thus, learning can have profound effects on separate native S-R relationships in multiple contexts, and mutation of the dnc and rut genes reveal complex effects on behavior. © 2018 Baggett et al.; Published by Cold Spring Harbor Laboratory Press.

  3. Childhood Fish Consumption and Learning and Behavioral Disorders

    Directory of Open Access Journals (Sweden)

    Jenny L. Carwile

    2016-11-01

    Full Text Available Fish is a major source of nutrients critical for brain development during early life. The importance of childhood fish consumption is supported by several studies reporting associations of n-3 polyunsaturated fatty acid (n-3 PUFA supplementation with better behavior and school performance. However, fish may have a different effect than n-3 PUFA alone due to the neurotoxic effects of methylmercury, a frequent contaminant. We investigated associations of childhood fish consumption with learning and behavioral disorders in birth cohort study of the neurotoxic effects of early life exposure to solvent-contaminated drinking water. Childhood (age 7–12 years fish consumption and learning and behavioral problems were reported in self-administered questionnaires (age 23–41 at questionnaire completion. Fish consumption was not meaningfully associated with repeating a grade, tutoring, attending summer school, special class placement, or low educational attainment. However, participants who ate fish several times a week had an elevated odds of Attention Deficit Disorder/Attention Deficit Hyperactivity Disorder (odds ratio: 5.2; 95% confidence interval: 1.5–18 compared to participants who did not eat fish. While these findings generally support the safety of the observed level of fish consumption, the absence of a beneficial effect may be attributed to insufficient fish intake or the choice of relatively low n-3 PUFA fish.

  4. Reversal learning and resurgence of operant behavior in zebrafish (Danio rerio).

    Science.gov (United States)

    Kuroda, Toshikazu; Mizutani, Yuto; Cançado, Carlos R X; Podlesnik, Christopher A

    2017-09-01

    Zebrafish are used extensively as vertebrate animal models in biomedical research for having such features as a fully sequenced genome and transparent embryo. Yet, operant-conditioning studies with this species are scarce. The present study investigated reversal learning and resurgence of operant behavior in zebrafish. A target response (approaching a sensor) was reinforced in Phase 1. In Phase 2, the target response was extinguished while reinforcing an alternative response (approaching a different sensor). In Phase 3, extinction was in effect for the target and alternative responses. Reversal learning was demonstrated when responding tracked contingency changes between Phases 1 and 2. Moreover, resurgence occurred in 10 of 13 fish in Phase 3: Target response rates increased transiently and exceeded rates of an unreinforced control response. The present study provides the first evidence with zebrafish supporting reversal learning between discrete operant responses and a laboratory model of relapse. These findings open the possibility to assessing genetic influences of operant behavior generally and in models of relapse (e.g., resurgence, renewal, reinstatement). Copyright © 2017 Elsevier B.V. All rights reserved.

  5. Are Tutor Behaviors in Problem-Based Learning Stable? A Generalizability Study of Social Congruence, Expertise and Cognitive Congruence

    Science.gov (United States)

    Williams, Judith C.; Alwis, W. A. M.; Rotgans, Jerome I.

    2011-01-01

    The purpose of this study was to investigate the stability of three distinct tutor behaviors (1) use of subject-matter expertise, (2) social congruence and (3) cognitive congruence, in a problem-based learning (PBL) environment. The data comprised the input from 16,047 different students to a survey of 762 tutors administered in three consecutive…

  6. Behavioral analysis of differential Hebbian learning in closed-loop systems

    DEFF Research Database (Denmark)

    Kulvicius, Tomas; Kolodziejski, Christoph; Tamosiunaite, Minija

    2010-01-01

    Understanding closed loop behavioral systems is a non-trivial problem, especially when they change during learning. Descriptions of closed loop systems in terms of information theory date back to the 1950s, however, there have been only a few attempts which take into account learning, mostly...... measuring information of inputs. In this study we analyze a specific type of closed loop system by looking at the input as well as the output space. For this, we investigate simulated agents that perform differential Hebbian learning (STDP). In the first part we show that analytical solutions can be found...

  7. Leader-Member Exchange, Learning Orientation and Innovative Work Behavior

    Science.gov (United States)

    Atitumpong, Aungkhana; Badir, Yuosre F.

    2018-01-01

    Purpose: This study aims to examine the effects of leader-member exchange (LMX) and employee learning orientation on employee innovative work behavior (IWB) through creative self-efficacy. Design/methodology/approach: Data have been collected from 337 employees and 137 direct managers from manufacturing sector. A hierarchical linear model has been…

  8. Instructional control of reinforcement learning: A behavioral and neurocomputational investigation

    NARCIS (Netherlands)

    Doll, B.B.; Jacobs, W.J.; Sanfey, A.G.; Frank, M.J.

    2009-01-01

    Humans learn how to behave directly through environmental experience and indirectly through rules and instructions. Behavior analytic research has shown that instructions can control behavior, even when such behavior leads to sub-optimal outcomes (Hayes, S (Ed) 1989. Rule-governed behavior:

  9. Maternal intraguild predation risk affects offspring anti-predator behavior and learning in mites

    Science.gov (United States)

    Seiter, Michael; Schausberger, Peter

    2015-01-01

    Predation risk is a strong selective force shaping prey morphology, life history and behavior. Anti-predator behaviors may be innate, learned or both but little is known about the transgenerational behavioral effects of maternally experienced predation risk. We examined intraguild predation (IGP) risk-induced maternal effects on offspring anti-predator behavior, including learning, in the predatory mite Phytoseiulus persimilis. We exposed predatory mite mothers during egg production to presence or absence of the IG predator Amblyseius andersoni and assessed whether maternal stress affects the anti-predator behavior, including larval learning ability, of their offspring as protonymphs. Protonymphs emerging from stressed or unstressed mothers, and having experienced IGP risk as larvae or not, were subjected to choice situations with and without IG predator traces. Predator-experienced protonymphs from stressed mothers were the least active and acted the boldest in site choice towards predator cues. We argue that the attenuated response of the protonymphs to predator traces alone represents optimized risk management because no immediate risk existed. Such behavioral adjustment could reduce the inherent fitness costs of anti-predator behaviors. Overall, our study suggests that P. persimilis mothers experiencing IGP risk may prime their offspring to behave more optimally in IGP environments. PMID:26449645

  10. On the relationships among work characteristics and learning-related behavior : Does age matter?

    NARCIS (Netherlands)

    De Lange, Annet H.; Taris, Toon W.; Jansen, Paul; Kompier, Michiel A. J.; Houtman, Irene L. D.; Bongers, Paulien M.

    2010-01-01

    This 3-wave longitudinal study examined (a) the causal direction of the relationships among psychosocial work characteristics (e.g., job demands, job control, and supervisor support) and indicators of learning-related behavior (e.g., motivation to learn and active problem solving), and (b) whether

  11. Increasing character value and conservation behavior through integrated ethnoscience chemistry in chemistry learning: A Case Study in The Department of Science Universitas Negeri Semarang.

    Science.gov (United States)

    Sudarmin; Sumarni, Woro

    2018-04-01

    The purpose of this study was to obtain a factual picture of the improvement of students' conservation character and conservation behavior through the application integrated ethnoscience chemistry learning. This research was a case study on students majoring in the Department Of Science Mathematics and Natural Science Faculty Universitas Negeri Semarang. The subjects of the study were 30 students attending ethnoscience course in one of the teacher education institutions in the even semester of the academic year of 2016/2017. The subjects were given chemistry learning integrated into ethnoscience for eight weeks. The technique of data collection was done by using attitude scale arranged based on Likert scale. The data were analyzed by using qualitative descriptive. The results showed that the integrated ethnoscience chemistry learning contributed positively to the improvement of the character value and conservation behavior

  12. Developing Autonomous Vehicles That Learn to Navigate by Mimicking Human Behavior

    Science.gov (United States)

    2006-09-28

    navigate in an unstructured environment to a specific target or location. 15. SUBJECT TERMS autonomous vehicles , fuzzy logic, learning behavior...ANSI-Std Z39-18 Developing Autonomous Vehicles That Learn to Navigate by Mimicking Human Behavior FINAL REPORT 9/28/2006 Dean B. Edwards Department...the future, as greater numbers of autonomous vehicles are employed, it is hoped that lower LONG-TERM GOALS Use LAGR (Learning Applied to Ground Robots

  13. Mirror neuron system and observational learning: behavioral and neurophysiological evidence.

    Science.gov (United States)

    Lago-Rodriguez, Angel; Lopez-Alonso, Virginia; Fernández-del-Olmo, Miguel

    2013-07-01

    Three experiments were performed to study observational learning using behavioral, perceptual, and neurophysiological data. Experiment 1 investigated whether observing an execution model, during physical practice of a transitive task that only presented one execution strategy, led to performance improvements compared with physical practice alone. Experiment 2 investigated whether performing an observational learning protocol improves subjects' action perception. In experiment 3 we evaluated whether the type of practice performed determined the activation of the Mirror Neuron System during action observation. Results showed that, compared with physical practice, observing an execution model during a task that only showed one execution strategy does not provide behavioral benefits. However, an observational learning protocol allows subjects to predict more precisely the outcome of the learned task. Finally, intersperse observation of an execution model with physical practice results in changes of primary motor cortex activity during the observation of the motor pattern previously practiced, whereas modulations in the connectivity between primary and non primary motor areas (PMv-M1; PPC-M1) were not affected by the practice protocol performed by the observer. Copyright © 2013 Elsevier B.V. All rights reserved.

  14. A Factor-Analytic Study of Adaptive Behavior and Intellectual Functioning in Learning Disabled Children.

    Science.gov (United States)

    Yeargan, Dollye R.

    The factorial structure of intellectual functioning and adaptive behavior was examined in 160 learning disabled students (6 to 16 years old). Ss were administered the Wechsler Intelligence Scale for Children-Revised (WISC-R) and the Coping Inventory (CI). Factor analysis of WISC-R scores revealed three factors: verbal comprehenson, perceptual…

  15. Fast social-like learning of complex behaviors based on motor motifs

    Science.gov (United States)

    Calvo Tapia, Carlos; Tyukin, Ivan Y.; Makarov, Valeri A.

    2018-05-01

    Social learning is widely observed in many species. Less experienced agents copy successful behaviors exhibited by more experienced individuals. Nevertheless, the dynamical mechanisms behind this process remain largely unknown. Here we assume that a complex behavior can be decomposed into a sequence of n motor motifs. Then a neural network capable of activating motor motifs in a given sequence can drive an agent. To account for (n -1 )! possible sequences of motifs in a neural network, we employ the winnerless competition approach. We then consider a teacher-learner situation: one agent exhibits a complex movement, while another one aims at mimicking the teacher's behavior. Despite the huge variety of possible motif sequences we show that the learner, equipped with the provided learning model, can rewire "on the fly" its synaptic couplings in no more than (n -1 ) learning cycles and converge exponentially to the durations of the teacher's motifs. We validate the learning model on mobile robots. Experimental results show that the learner is indeed capable of copying the teacher's behavior composed of six motor motifs in a few learning cycles. The reported mechanism of learning is general and can be used for replicating different functions, including, for example, sound patterns or speech.

  16. The role of conditioning, learning and dopamine in sexual behavior: a narrative review of animal and human studies

    NARCIS (Netherlands)

    Brom, Mirte; Both, Stephanie; Laan, Ellen; Everaerd, Walter; Spinhoven, Philip

    2014-01-01

    Many theories of human sexual behavior assume that sexual stimuli obtain arousing properties through associative learning processes. It is widely accepted that classical conditioning contributes to the etiology of both normal and maladaptive human behaviors. Despite the hypothesized importance of

  17. The role of conditioning, learning and dopamine in sexual behavior : A narrative review of animal and human studies

    NARCIS (Netherlands)

    Brom, M.; Both, S.; Laan, E.; Everaerd, W.; Spinhoven, P.

    Many theories of human sexual behavior assume that sexual stimuli obtain arousing properties through associative learning processes. It is widely accepted that classical conditioning contributes to the etiology of both normal and maladaptive human behaviors. Despite the hypothesized importance of

  18. Investigation of the relationship between organizational learning and organizational citizen behavior among the staff of teaching hospital.

    Science.gov (United States)

    Kiaei, Mohammad Zakaria; Hasanpoor, Edris; Sokhanvar, Mobin; Mohseni, Mohammad; Ziaiifar, Hajarbibi; Moradi, Mahin

    2014-10-01

    Today, the concept of organizational learning has attracted the attention of many managers and researchers in scientific and research circles as well as those in the organization-related studies. Taking the organizational learning into account might offer a means of organizational effectiveness that has gone unnoticed. Thus the present study aimed at investigating the relationship between the organizational learning in each of its four aspects as independent variables and organizational citizen behavior of the staff as constituting the dependent variable of the study. This was a descriptive-analytical study with a practical approach conducted in 2010. The sample included 167 staff members working in educational health centers affiliated with Qazvin University of Medical Sciences. The data were collected via both the organizational learning questionnaire and organizational citizen behavior questionnaire and analyzed by using SPSS software and Spearman test. The results indicated that the mean of organizational learning indicator was 2.9±0.648 and that of organizational citizen behavior 3.78±0.413. In addition, the spearman correlation coefficient ranging from 0.058 to 0.129 between the elements of the organizational learning and the organizational citizen behavior was not statistically significant (p>0.05). The findings also indicated that the correlation between them was average among the staff of Shahid Raja'ee Educational health center (0.319), thus the relationship between the two sets of variables proved significant (p=0.031). However, the same was not true in other centers. It was concluded that management commitment, open space, transfer of knowledge, and systemic vision could all enhance the level of organizational learning in hospitals which calls for focus on the elements of organizational citizen behavior.

  19. Ubiquitous learning model using interactive internet messenger group (IIMG) to improve engagement and behavior for smart campus

    Science.gov (United States)

    Umam, K.; Mardi, S. N. S.; Hariadi, M.

    2017-01-01

    The recent popularity of internet messenger based smartphone technologies has motivated some university lecturers to use them for educational activities. These technologies have enormous potential to enhance the teaching and ubiquitous learning experience for smart campus development. However, the design ubiquitous learning model using interactive internet messenger group (IIMG) and empirical evidence that would favor a broad application of mobile and ubiquitous learning in smart campus settings to improve engagement and behavior is still limited. In addition, the expectation that mobile learning could improve engagement and behavior on smart campus cannot be confirmed because the majority of the reviewed studies followed instructions paradigms. This article aims to present ubiquitous learning model design and showing learners’ experiences in improved engagement and behavior using IIMG for learner-learner and learner-lecturer interactions. The method applied in this paper includes design process and quantitative analysis techniques, with the purpose of identifying scenarios of ubiquitous learning and realize the impressions of learners and lecturers about engagement and behavior aspect, and its contribution to learning.

  20. CACNA1C gene regulates behavioral strategies in operant rule learning.

    Science.gov (United States)

    Koppe, Georgia; Mallien, Anne Stephanie; Berger, Stefan; Bartsch, Dusan; Gass, Peter; Vollmayr, Barbara; Durstewitz, Daniel

    2017-06-01

    Behavioral experiments are usually designed to tap into a specific cognitive function, but animals may solve a given task through a variety of different and individual behavioral strategies, some of them not foreseen by the experimenter. Animal learning may therefore be seen more as the process of selecting among, and adapting, potential behavioral policies, rather than mere strengthening of associative links. Calcium influx through high-voltage-gated Ca2+ channels is central to synaptic plasticity, and altered expression of Cav1.2 channels and the CACNA1C gene have been associated with severe learning deficits and psychiatric disorders. Given this, we were interested in how specifically a selective functional ablation of the Cacna1c gene would modulate the learning process. Using a detailed, individual-level analysis of learning on an operant cue discrimination task in terms of behavioral strategies, combined with Bayesian selection among computational models estimated from the empirical data, we show that a Cacna1c knockout does not impair learning in general but has a much more specific effect: the majority of Cacna1c knockout mice still managed to increase reward feedback across trials but did so by adapting an outcome-based strategy, while the majority of matched controls adopted the experimentally intended cue-association rule. Our results thus point to a quite specific role of a single gene in learning and highlight that much more mechanistic insight could be gained by examining response patterns in terms of a larger repertoire of potential behavioral strategies. The results may also have clinical implications for treating psychiatric disorders.

  1. Study on modeling of operator's learning mechanism

    International Nuclear Information System (INIS)

    Yoshimura, Seichi; Hasegawa, Naoko

    1998-01-01

    One effective method to analyze the causes of human errors is to model the behavior of human and to simulate it. The Central Research Institute of Electric Power Industry (CRIEPI) has developed an operator team behavior simulation system called SYBORG (Simulation System for the Behavior of an Operating Group) to analyze the human errors and to establish the countermeasures for them. As an operator behavior model which composes SYBORG has no learning mechanism and the knowledge of a plant is fixed, it cannot take suitable actions when unknown situations occur nor learn anything from the experience. However, considering actual operators, learning is an essential human factor to enhance their abilities to diagnose plant anomalies. In this paper, Q learning with 1/f fluctuation was proposed as a learning mechanism of an operator and simulation using the mechanism was conducted. The results showed the effectiveness of the learning mechanism. (author)

  2. The role of context in preschool learning: a multilevel examination of the contribution of context-specific problem behaviors and classroom process quality to low-income children's approaches to learning.

    Science.gov (United States)

    Domínguez, Ximena; Vitiello, Virginia E; Fuccillo, Janna M; Greenfield, Daryl B; Bulotsky-Shearer, Rebecca J

    2011-04-01

    Research suggests that promoting adaptive approaches to learning early in childhood may help close the gap between advantaged and disadvantaged children. Recent research has identified specific child-level and classroom-level variables that are significantly associated with preschoolers' approaches to learning. However, further research is needed to understand the interactive effects of these variables and determine whether classroom-level variables buffer the detrimental effects of child-level risk variables. Using a largely urban and minority sample (N=275) of preschool children, the present study examined the additive and interactive effects of children's context-specific problem behaviors and classroom process quality dimensions on children's approaches to learning. Teachers rated children's problem behavior and approaches to learning and independent assessors conducted classroom observations to assess process quality. Problem behaviors in structured learning situations and in peer and teacher interactions were found to negatively predict variance in approaches to learning. Classroom process quality domains did not independently predict variance in approaches to learning. Nonetheless, classroom process quality played an important role in these associations; high emotional support buffered the detrimental effects of problem behavior, whereas high instructional support exacerbated them. The findings of this study have important implications for classroom practices aimed at helping children who exhibit problem behaviors. Copyright © 2010 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

  3. Agreement among Classroom Observers of Children's Stylistic Learning Behaviors.

    Science.gov (United States)

    Buchanan, Helen Hamlet; McDermott, Paul A.; Schaefer, Barbara A.

    1998-01-01

    Investigates the interobserver agreement of the Learning Behavior Scale (LBS) by educators (n=16) observing students in special-education classes (n=72). No significant observer effect was found. Moreover, the LBS produced comparable levels of differential learning styles for assessments of individual children. (Author/MKA)

  4. Learning Organization and Innovative Behavior: The Mediating Effect of Work Engagement

    Science.gov (United States)

    Park, Yu Kyoung; Song, Ji Hoon; Yoon, Seung Won; Kim, Jungwoo

    2014-01-01

    Purpose: The purpose of this study is to investigate the mediating effect of work engagement on the relationship between learning organization and innovative behavior. Design/methodology/approach: This study used surveys as a data collection tool and implemented structural equation modeling for empirically testing the proposed research model.…

  5. Foreign language learning as a complex dynamic process: A microgenetic case study of a Chinese child's English learning trajectory

    NARCIS (Netherlands)

    Sun, He; Steinkrauss, Rasmus; van der Steen, Steffie; Cox, Ralf; de Bot, Kees

    2016-01-01

    The current study focuses on one child's (male, 3 years old) learning behaviors in an English as a Foreign Language classroom, and explores the coordination and developmental patterns of his nonverbal (gestures and body language) and verbal (verbal repetition and verbal responses) learning behaviors

  6. Locomotion-learning behavior relationship in Caenorhabditis elegans following γ-ray irradiation

    International Nuclear Information System (INIS)

    Sakashita, Tetsuya; Hamada, Nobuyuki; Suzuki, Michiyo; Kobayashi, Yasuhiko; Ikeda, Daisuke D.; Yanase, Sumino; Ishii, Naoaki

    2008-01-01

    Learning impairment following ionizing radiation (IR) exposure is an important potential risk in manned space missions. We previously reported the modulatory effects of IR on salt chemotaxis learning in Caenorhabditis elegans. However, little is known about the effects of IR on the functional relationship in the nervous system. In the present study, we investigated the effects of γ-ray exposure on the relationship between locomotion and salt chemotaxis learning behavior. We found that effects of pre-learning irradiation on locomotion were significantly correlated with the salt chemotaxis learning performance, whereas locomotion was not directly related to chemotaxis to NaCl. On the other hand, locomotion was positively correlated with salt chemotaxis of animals which were irradiated during learning, and the correlation disappeared with increasing doses. These results suggest an indirect relationship between locomotion and salt chemotaxis learning in C. elegans, and that IR inhibits the innate relationship between locomotion and chemotaxis, which is related to salt chemotaxis learning conditioning of C. elegans. (author)

  7. Classification and Validation of Behavioral Subtypes of Learning-Disabled Children.

    Science.gov (United States)

    Speece, Deborah L.; And Others

    1985-01-01

    Using the Classroom Behavior Inventory, teachers rated the behaviors of 63 school-identified, learning-disabled first and second graders. Hierarchical cluster analysis techniques identified seven distinct behavioral subtypes. Internal validation techniques indicated that the subtypes were replicable and had profile patterns different from a sample…

  8. A learning-style theory for understanding autistic behaviors

    Directory of Open Access Journals (Sweden)

    Ning eQian

    2011-08-01

    Full Text Available Understanding autism’s ever-expanding array of behaviors, from sensation to cognition, is a major challenge. We posit that autistic and typically-developing brains implement different algorithms that are better suited to learn, represent, and process different tasks; consequently, they develop different interests and behaviors. Computationally, a continuum of algorithms exists, from lookup-table (LUT learning, which aims to store experiences precisely, to interpolation (INT learning, which focuses on extracting underlying statistical structure (regularities from experiences. We hypothesize that autistic and typical brains, respectively, are biased toward LUT and INT learning, in low and high dimensional feature spaces, possibly because of their narrow and broad tuning functions. The LUT style is good at learning relationships that are local, precise, rigid, and contain little regularity for generalization (e.g., the name-number association in a phonebook. However, it is poor at learning relationships that are context dependent, noisy, flexible, and do contain regularities for generalization (e.g., associations between gaze direction and intention, language and meaning, sensory input and interpretation, motor-control signal and movement, and social situation and proper response. The LUT style poorly compresses information, resulting in inefficiency, sensory overload (overwhelm, restricted interests, and resistance to change. It also leads to poor prediction and anticipation, frequent surprises and over-reaction (hyper-sensitivity, impaired attentional selection and switching, concreteness, strong local focus, weak adaptation, and superior and inferior performances on simple and complex tasks. The spectrum nature of autism can be explained by different degrees of LUT learning among different individuals, and in different systems of the same individual. Our theory suggests that therapy should focus on training autistic LUT algorithm to learn

  9. A Learning-Style Theory for Understanding Autistic Behaviors

    Science.gov (United States)

    Qian, Ning; Lipkin, Richard M.

    2011-01-01

    Understanding autism's ever-expanding array of behaviors, from sensation to cognition, is a major challenge. We posit that autistic and typically developing brains implement different algorithms that are better suited to learn, represent, and process different tasks; consequently, they develop different interests and behaviors. Computationally, a continuum of algorithms exists, from lookup table (LUT) learning, which aims to store experiences precisely, to interpolation (INT) learning, which focuses on extracting underlying statistical structure (regularities) from experiences. We hypothesize that autistic and typical brains, respectively, are biased toward LUT and INT learning, in low- and high-dimensional feature spaces, possibly because of their narrow and broad tuning functions. The LUT style is good at learning relationships that are local, precise, rigid, and contain little regularity for generalization (e.g., the name–number association in a phonebook). However, it is poor at learning relationships that are context dependent, noisy, flexible, and do contain regularities for generalization (e.g., associations between gaze direction and intention, language and meaning, sensory input and interpretation, motor-control signal and movement, and social situation and proper response). The LUT style poorly compresses information, resulting in inefficiency, sensory overload (overwhelm), restricted interests, and resistance to change. It also leads to poor prediction and anticipation, frequent surprises and over-reaction (hyper-sensitivity), impaired attentional selection and switching, concreteness, strong local focus, weak adaptation, and superior and inferior performances on simple and complex tasks. The spectrum nature of autism can be explained by different degrees of LUT learning among different individuals, and in different systems of the same individual. Our theory suggests that therapy should focus on training autistic LUT algorithm to learn regularities

  10. Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control.

    Science.gov (United States)

    Dasgupta, Sakyasingha; Wörgötter, Florentin; Manoonpong, Poramate

    2014-01-01

    Goal-directed decision making in biological systems is broadly based on associations between conditional and unconditional stimuli. This can be further classified as classical conditioning (correlation-based learning) and operant conditioning (reward-based learning). A number of computational and experimental studies have well established the role of the basal ganglia in reward-based learning, where as the cerebellum plays an important role in developing specific conditioned responses. Although viewed as distinct learning systems, recent animal experiments point toward their complementary role in behavioral learning, and also show the existence of substantial two-way communication between these two brain structures. Based on this notion of co-operative learning, in this paper we hypothesize that the basal ganglia and cerebellar learning systems work in parallel and interact with each other. We envision that such an interaction is influenced by reward modulated heterosynaptic plasticity (RMHP) rule at the thalamus, guiding the overall goal directed behavior. Using a recurrent neural network actor-critic model of the basal ganglia and a feed-forward correlation-based learning model of the cerebellum, we demonstrate that the RMHP rule can effectively balance the outcomes of the two learning systems. This is tested using simulated environments of increasing complexity with a four-wheeled robot in a foraging task in both static and dynamic configurations. Although modeled with a simplified level of biological abstraction, we clearly demonstrate that such a RMHP induced combinatorial learning mechanism, leads to stabler and faster learning of goal-directed behaviors, in comparison to the individual systems. Thus, in this paper we provide a computational model for adaptive combination of the basal ganglia and cerebellum learning systems by way of neuromodulated plasticity for goal-directed decision making in biological and bio-mimetic organisms.

  11. From rapid place learning to behavioral performance: a key role for the intermediate hippocampus.

    Directory of Open Access Journals (Sweden)

    Tobias Bast

    2009-04-01

    Full Text Available Rapid place encoding by hippocampal neurons, as reflected by place-related firing, has been intensely studied, whereas the substrates that translate hippocampal place codes into behavior have received little attention. A key point relevant to this translation is that hippocampal organization is characterized by functional-anatomical gradients along the septotemporal axis: Whereas the ability of hippocampal neurons to encode accurate place information declines from the septal to temporal end, hippocampal connectivity to prefrontal and subcortical sites that might relate such place information to behavioral-control processes shows an opposite gradient. We examined in rats the impact of selective lesions to relevant parts of the hippocampus on behavioral tests requiring place learning (watermaze procedures and on in vivo electrophysiological models of hippocampal encoding (long-term potentiation [LTP], place cells. We found that the intermediate hippocampus is necessary and largely sufficient for behavioral performance based on rapid place learning. In contrast, a residual septal pole of the hippocampus, although displaying intact electrophysiological indices of rapid information encoding (LTP, precise place-related firing, and rapid remapping, failed to sustain watermaze performance based on rapid place learning. These data highlight the important distinction between hippocampal encoding and the behavioral performance based on such encoding, and suggest that the intermediate hippocampus, where substrates of rapid accurate place encoding converge with links to behavioral control, is critical to translate rapid (one-trial place learning into navigational performance.

  12. Ontogeny of Classical and Operant Learning Behaviors in Zebrafish

    Science.gov (United States)

    Valente, Andre; Huang, Kuo-Hua; Portugues, Ruben; Engert, Florian

    2012-01-01

    The performance of developing zebrafish in both classical and operant conditioning assays was tested with a particular focus on the emergence of these learning behaviors during development. Strategically positioned visual cues paired with electroshocks were used in two fully automated assays to investigate both learning paradigms. These allow the…

  13. Identification of animal behavioral strategies by inverse reinforcement learning.

    Directory of Open Access Journals (Sweden)

    Shoichiro Yamaguchi

    2018-05-01

    Full Text Available Animals are able to reach a desired state in an environment by controlling various behavioral patterns. Identification of the behavioral strategy used for this control is important for understanding animals' decision-making and is fundamental to dissect information processing done by the nervous system. However, methods for quantifying such behavioral strategies have not been fully established. In this study, we developed an inverse reinforcement-learning (IRL framework to identify an animal's behavioral strategy from behavioral time-series data. We applied this framework to C. elegans thermotactic behavior; after cultivation at a constant temperature with or without food, fed worms prefer, while starved worms avoid the cultivation temperature on a thermal gradient. Our IRL approach revealed that the fed worms used both the absolute temperature and its temporal derivative and that their behavior involved two strategies: directed migration (DM and isothermal migration (IM. With DM, worms efficiently reached specific temperatures, which explains their thermotactic behavior when fed. With IM, worms moved along a constant temperature, which reflects isothermal tracking, well-observed in previous studies. In contrast to fed animals, starved worms escaped the cultivation temperature using only the absolute, but not the temporal derivative of temperature. We also investigated the neural basis underlying these strategies, by applying our method to thermosensory neuron-deficient worms. Thus, our IRL-based approach is useful in identifying animal strategies from behavioral time-series data and could be applied to a wide range of behavioral studies, including decision-making, in other organisms.

  14. Motivation categories in college students’ learning engagement behaviors and outcomes in Taiwan: An application of cluster analysis

    OpenAIRE

    Tzu-Ling Hsieh

    2016-01-01

    This study explores how different motivation categories influence college students’ learning engagement behaviors and outcomes under the context of eastern culture. 178 junior college students were surveyed at a four-year research university in Taiwan. The study addressed two research questions: 1. Are there subgroups of students with significantly different motivation profiles? 2. If so, do these subgroups of students differ significantly in terms of their engagement behaviors and learning o...

  15. Modeling eating behaviors: The role of environment and positive food association learning via a Ratatouille effect.

    Science.gov (United States)

    Murillo, Anarina L; Safan, Muntaser; Castillo-Chavez, Carlos; Phillips, Elizabeth D Capaldi; Wadhera, Devina

    2016-08-01

    Eating behaviors among a large population of children are studied as a dynamic process driven by nonlinear interactions in the sociocultural school environment. The impact of food association learning on diet dynamics, inspired by a pilot study conducted among Arizona children in Pre-Kindergarten to 8th grades, is used to build simple population-level learning models. Qualitatively, mathematical studies are used to highlight the possible ramifications of instruction, learning in nutrition, and health at the community level. Model results suggest that nutrition education programs at the population-level have minimal impact on improving eating behaviors, findings that agree with prior field studies. Hence, the incorporation of food association learning may be a better strategy for creating resilient communities of healthy and non-healthy eaters. A Ratatouille effect can be observed when food association learners become food preference learners, a potential sustainable behavioral change, which in turn, may impact the overall distribution of healthy eaters. In short, this work evaluates the effectiveness of population-level intervention strategies and the importance of institutionalizing nutrition programs that factor in economical, social, cultural, and environmental elements that mesh well with the norms and values in the community.

  16. English Learning Achievement and EFL Learners' Cheating Attitudes and Cheating Behaviors

    Science.gov (United States)

    Rahim, Mehrak; Goli, Atefeh

    2016-01-01

    The aim of the current study was investigating the role of achievement in learning English as a foreign language in EFL learners' cheating attitudes and cheating behaviors. Eight hundred junior high-school students were selected based on random cluster sampling and participated in the study. Their attitudes towards academic dishonesty and their…

  17. Reversal learning as a measure of impulsive and compulsive behavior in addictions.

    Science.gov (United States)

    Izquierdo, Alicia; Jentsch, J David

    2012-01-01

    Our ability to measure the cognitive components of complex decision-making across species has greatly facilitated our understanding of its neurobiological mechanisms. One task in particular, reversal learning, has proven valuable in assessing the inhibitory processes that are central to executive control. Reversal learning measures the ability to actively suppress reward-related responding and to disengage from ongoing behavior, phenomena that are biologically and descriptively related to impulsivity and compulsivity. Consequently, reversal learning could index vulnerability for disorders characterized by impulsivity such as proclivity for initial substance abuse as well as the compulsive aspects of dependence. Though we describe common variants and similar tasks, we pay particular attention to discrimination reversal learning, its supporting neural circuitry, neuropharmacology and genetic determinants. We also review the utility of this task in measuring impulsivity and compulsivity in addictions. We restrict our review to instrumental, reward-related reversal learning studies as they are most germane to addiction. The research reviewed here suggests that discrimination reversal learning may be used as a diagnostic tool for investigating the neural mechanisms that mediate impulsive and compulsive aspects of pathological reward-seeking and -taking behaviors. Two interrelated mechanisms are posited for the neuroadaptations in addiction that often translate to poor reversal learning: frontocorticostriatal circuitry dysregulation and poor dopamine (D2 receptor) modulation of this circuitry. These data suggest new approaches to targeting inhibitory control mechanisms in addictions.

  18. Extinction of avoidance behavior by safety learning depends on endocannabinoid signaling in the hippocampus.

    Science.gov (United States)

    Micale, Vincenzo; Stepan, Jens; Jurik, Angela; Pamplona, Fabricio A; Marsch, Rudolph; Drago, Filippo; Eder, Matthias; Wotjak, Carsten T

    2017-07-01

    The development of exaggerated avoidance behavior is largely responsible for the decreased quality of life in patients suffering from anxiety disorders. Studies using animal models have contributed to the understanding of the neural mechanisms underlying the acquisition of avoidance responses. However, much less is known about its extinction. Here we provide evidence in mice that learning about the safety of an environment (i.e., safety learning) rather than repeated execution of the avoided response in absence of negative consequences (i.e., response extinction) allowed the animals to overcome their avoidance behavior in a step-down avoidance task. This process was context-dependent and could be blocked by pharmacological (3 mg/kg, s.c.; SR141716) or genetic (lack of cannabinoid CB1 receptors in neurons expressing dopamine D1 receptors) inactivation of CB1 receptors. In turn, the endocannabinoid reuptake inhibitor AM404 (3 mg/kg, i.p.) facilitated safety learning in a CB1-dependent manner and attenuated the relapse of avoidance behavior 28 days after conditioning. Safety learning crucially depended on endocannabinoid signaling at level of the hippocampus, since intrahippocampal SR141716 treatment impaired, whereas AM404 facilitated safety learning. Other than AM404, treatment with diazepam (1 mg/kg, i.p.) impaired safety learning. Drug effects on behavior were directly mirrored by drug effects on evoked activity propagation through the hippocampal trisynaptic circuit in brain slices: As revealed by voltage-sensitive dye imaging, diazepam impaired whereas AM404 facilitated activity propagation to CA1 in a CB1-dependent manner. In line with this, systemic AM404 enhanced safety learning-induced expression of Egr1 at level of CA1. Together, our data render it likely that AM404 promotes safety learning by enhancing information flow through the trisynaptic circuit to CA1. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. Classroom behavior and family climate in students with learning disabilities and hyperactive behavior.

    Science.gov (United States)

    Margalit, M; Almougy, K

    1991-01-01

    The present study aimed to identify subtypes of the learning disabilities (LD) syndrome by examining classroom behavior and family climate among four groups of Israeli students ranging in age from 7 to 10 years: 22 students with LD and hyperactive behavior (HB), 22 nonhyperactive students with LD, 20 nondisabled students with HB, and 20 nondisabled nonhyperactive students. Schaefer's Classroom Behavior Inventory and Moos's Family Environmental Scale were administered to teachers and mothers, respectively. The results revealed that higher distractibility and hostility among both groups with HB differentiated between the two groups with LD. Families of children with HB were reported as less supportive and as emphasizing control less. The academic competence and temperament of the nondisabled students with HB were rated as similar to those of the two groups of students with LD. Both groups with LD were characterized by dependent interpersonal relations and by more conflictual families who fostered more achievement but less personal growth.

  20. A Driver Behavior Learning Framework for Enhancing Traffic Simulation

    Directory of Open Access Journals (Sweden)

    Ramona Maria Paven

    2014-06-01

    Full Text Available Traffic simulation provides an essential support for developing intelligent transportation systems. It allows affordable validation of such systems using a large variety of scenarios that involves massive data input. However, realistic traffic models are hard to be implemented especially for microscopic traffic simulation. One of the hardest problems in this context is to model the behavior of drivers, due the complexity of human nature. The work presented in this paper proposes a framework for learning driver behavior based on a Hidden Markov Model technique. Moreover, we propose also a practical method to inject this behavior in a traffic model used by the SUMO traffic simulator. To demonstrate the effectiveness of this method we present a case study involving real traffic collected from Timisoara city area.

  1. Beliefs and Behaviors in Learning Critical Thinking Skills

    OpenAIRE

    Octavian REPOLSCHI

    2015-01-01

    The paper will present the relation between students’ beliefs and their behaviours observed in the process of learning critical thinking skills. In the first place some consideration concerning the fundamental epistemological concepts used in the research and about the particular critical thinking skills are to be sketched. Then the testing- learning procedure will be shortly summarized. Thirdly the evaluation of beliefs, their relations with knowledge and the associated behaviors are present...

  2. User Studies: Developing Learning Strategy Tool Software for Children.

    Science.gov (United States)

    Fitzgerald, Gail E.; Koury, Kevin A.; Peng, Hsinyi

    This paper is a report of user studies for developing learning strategy tool software for children. The prototype software demonstrated is designed for children with learning and behavioral disabilities. The tools consist of easy-to-use templates for creating organizational, memory, and learning approach guides for use in classrooms and at home.…

  3. Explaining Helping Behavior in a Cooperative Learning Classroom Setting Using Attribution Theory

    Science.gov (United States)

    Ahles, Paula M.; Contento, Jann M.

    2006-01-01

    This recently completed study examined whether attribution theory can explain helping behavior in an interdependent classroom environment that utilized a cooperative-learning model. The study focused on student participants enrolled in 6 community college communication classes taught by the same instructor. Three levels of cooperative-learning…

  4. E-LEARNING TURKISH LANGUAGE AND GRAMMAR: Analyzing Learners' Behavior

    Directory of Open Access Journals (Sweden)

    Panagiotis GEORGALAS

    2012-01-01

    Full Text Available This study analyses the behavior and the preferences of the Greek learners of Turkish language, who use a particular e-learning website in parallel with their studies, namely: http://turkish.pgeorgalas.gr. The website offers free online material in Greek and English language for learning the Turkish language and grammar. The traffic of several modules of the website has been measured, examined and analyzed. The research was carried out between the years 2010- 2011 and included the analysis of several million clicks. The results show particular attitudes, habits and preferences throughout the e-learning process. There is a preference of users to exercises against theory. Fast cross-link exercises are preferred to slower “fill in” ones. During the weekends, visitors tend to use less e-learning facilities and select more light activities than the rest days of the week. Society trends and fashions like TV serials have a serious impact to the number of people who decide to learn a new foreign language, in particular Turkish. There is a strong preference of the audience to use online TV against online radio facilities for language practice. The subjects that Greek learners of Turkish language spend more time are verbs conjugation and vocabulary learning. They focus on elementary grammar subjects like the Alphabet, the numbers and the formation of plural. Finally, they try to learn the syntax of Turkish language through sentence structure puzzles and give priority to special grammar issues like noun compounds that are not present in Greek language.

  5. Online Behavior Analysis-Based Student Profile for Intelligent E-Learning

    OpenAIRE

    Liang, Kun; Zhang, Yiying; He, Yeshen; Zhou, Yilin; Tan, Wei; Li, Xiaoxia

    2017-01-01

    With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarit...

  6. Chaotic behavior learning of Chua's circuit

    International Nuclear Information System (INIS)

    Sun Jian-Cheng

    2012-01-01

    Least-square support vector machines (LS-SVM) are applied for learning the chaotic behavior of Chua's circuit. The system is divided into three multiple-input single-output (MISO) structures and the LS-SVM are trained individually. Comparing with classical approaches, the proposed one reduces the structural complexity and the selection of parameters is avoided. Some parameters of the attractor are used to compare the chaotic behavior of the reconstructed and the original systems for model validation. Results show that the LS-SVM combined with the MISO can be trained to identify the underlying link among Chua's circuit state variables, and exhibit the chaotic attractors under the autonomous working mode

  7. Assessing learning process of caring behavior among nursing students in Palembang, Indonesia

    Directory of Open Access Journals (Sweden)

    Ira Kusumawaty

    2016-01-01

    Full Text Available Background Caring as the heart of nursing profession should be learned by nursing students. However, in fact, to generate caring professional nurses is not an uncomplicated issue and there are some factors that can influence its achievement. Socio-cognitive theory which emphasizes on interaction between person, behavior, and environment in learning theory was used to assess caring behavior learning process. Objective The aims of the study are to assess characteristics of nursing students, to identify students’ preferences in choosing their profession, to pinpoint students’ perception and educators’ teaching methods used in caring behavior class and to determine students understanding of caring behavior. Methods A descriptive analysis was used to analyze data obtained through surveys and brief interviews.Samples are 232 nursing students from diploma III program (89, 66 and 77 students, respectively students at semester 2, 4 and 6, 3 nurse educators and 3 stakeholders from 2 hospitals, and 1 from organizational profession. Results Majority, of the students are female and, had chosen nursing as the first priority. However, more than 50% of their choice was not based on their preferences, but influenced by family’s desire. There are more students who have less understanding about caring than those who have good understanding. Teaching strategies were varied, but mostly consist of lectures and discussions. There were complaints from stakeholders related to communication, patience, and empathy as a part of caring behavior nurses who graduated with diploma III. Conclusion Nurse educators should provide an extensive understanding of the nursing profession and motivate students from the early semester. Improved motivation is crucially important to enhance students’ caring behavior.

  8. Inescapable Stress Changes Walking Behavior in Flies - Learned Helplessness Revisited.

    Science.gov (United States)

    Batsching, Sophie; Wolf, Reinhard; Heisenberg, Martin

    2016-01-01

    Like other animals flies develop a state of learned helplessness in response to unescapable aversive events. To show this, two flies, one 'master', one 'yoked', are each confined to a dark, small chamber and exposed to the same sequence of mild electric shocks. Both receive these shocks when the master fly stops walking for more than a second. Behavior in the two animals is differently affected by the shocks. Yoked flies are transiently impaired in place learning and take longer than master flies to exit from the chamber towards light. After the treatment they walk more slowly and take fewer and shorter walking bouts. The low activity is attributed to the fly's experience that its escape response, an innate behavior to terminate the electric shocks, does not help anymore. Earlier studies using heat pulses instead of electric shocks had shown similar effects. This parallel supports the interpretation that it is the uncontrollability that induces the state.

  9. Inescapable Stress Changes Walking Behavior in Flies - Learned Helplessness Revisited

    Science.gov (United States)

    Batsching, Sophie; Wolf, Reinhard; Heisenberg, Martin

    2016-01-01

    Like other animals flies develop a state of learned helplessness in response to unescapable aversive events. To show this, two flies, one 'master', one 'yoked', are each confined to a dark, small chamber and exposed to the same sequence of mild electric shocks. Both receive these shocks when the master fly stops walking for more than a second. Behavior in the two animals is differently affected by the shocks. Yoked flies are transiently impaired in place learning and take longer than master flies to exit from the chamber towards light. After the treatment they walk more slowly and take fewer and shorter walking bouts. The low activity is attributed to the fly's experience that its escape response, an innate behavior to terminate the electric shocks, does not help anymore. Earlier studies using heat pulses instead of electric shocks had shown similar effects. This parallel supports the interpretation that it is the uncontrollability that induces the state. PMID:27875580

  10. Inescapable Stress Changes Walking Behavior in Flies - Learned Helplessness Revisited.

    Directory of Open Access Journals (Sweden)

    Sophie Batsching

    Full Text Available Like other animals flies develop a state of learned helplessness in response to unescapable aversive events. To show this, two flies, one 'master', one 'yoked', are each confined to a dark, small chamber and exposed to the same sequence of mild electric shocks. Both receive these shocks when the master fly stops walking for more than a second. Behavior in the two animals is differently affected by the shocks. Yoked flies are transiently impaired in place learning and take longer than master flies to exit from the chamber towards light. After the treatment they walk more slowly and take fewer and shorter walking bouts. The low activity is attributed to the fly's experience that its escape response, an innate behavior to terminate the electric shocks, does not help anymore. Earlier studies using heat pulses instead of electric shocks had shown similar effects. This parallel supports the interpretation that it is the uncontrollability that induces the state.

  11. The Effect of Education Level on Psychological Empowerment and Burnout-The Mediating Role of Workplace Learning Behaviors

    OpenAIRE

    Sarit Rashkovits; Yael Livne

    2013-01-01

    The study investigates the relationship between education level, workplace learning behaviors, psychological empowerment and burnout in a sample of 191 teachers. We hypothesized that education level will positively affect psychological state of increased empowerment and decreased burnout, and we purposed that these effects will be mediated by workplace learning behaviors. We used multiple regression analyses to test the model that included also the 6 following control var...

  12. The Effect Of Islamic Education Learning Pai And Learning Results To Students Religious Behavior Of Stisip Widyapuri Mandiri Sukabumi Student

    Directory of Open Access Journals (Sweden)

    U. Abdullah Mumin

    2017-06-01

    Full Text Available The purpose of this study is to measure the level of the effect of Islamic Education learning and learning result on religious behaviour in STISIP Widyapuri Mandiri Sukabumi. The method used in this research is quantitative analysis based on inferential statistical model. The data collection is done by using observation techniques interviews and questionnaires. The researcher analize the data by using logic analysis for qualitative and statistical analysis for quantitative data by using descriptive statistics regression and correlation. Based on the hypothesis test simultaneously PAI learning and learning result have a positive and significant effect on students religious behaviour. Partially only PAI learning alone has a positive and significant impact on religious behavior.

  13. Promoting Positive Learning in Australian Students Aged 10- to 12-Years-Old Using Attribution Retraining and Cognitive Behavioral Therapy: A Pilot Study

    Science.gov (United States)

    Chodkiewicz, Alicia R; Boyle, Christopher

    2016-01-01

    This study piloted an intervention using attribution retraining and cognitive behavioral therapy techniques to promote positive learning experiences and outcomes for students. This research is an important step to revitalise the dwindling field of attribution retraining research by assessing whether these techniques effectively improve student…

  14. Reappraising social insect behavior through aversive responsiveness and learning.

    Science.gov (United States)

    Roussel, Edith; Carcaud, Julie; Sandoz, Jean-Christophe; Giurfa, Martin

    2009-01-01

    The success of social insects can be in part attributed to their division of labor, which has been explained by a response threshold model. This model posits that individuals differ in their response thresholds to task-associated stimuli, so that individuals with lower thresholds specialize in this task. This model is at odds with findings on honeybee behavior as nectar and pollen foragers exhibit different responsiveness to sucrose, with nectar foragers having higher response thresholds to sucrose concentration. Moreover, it has been suggested that sucrose responsiveness correlates with responsiveness to most if not all other stimuli. If this is the case, explaining task specialization and the origins of division of labor on the basis of differences in response thresholds is difficult. To compare responsiveness to stimuli presenting clear-cut differences in hedonic value and behavioral contexts, we measured appetitive and aversive responsiveness in the same bees in the laboratory. We quantified proboscis extension responses to increasing sucrose concentrations and sting extension responses to electric shocks of increasing voltage. We analyzed the relationship between aversive responsiveness and aversive olfactory conditioning of the sting extension reflex, and determined how this relationship relates to division of labor. Sucrose and shock responsiveness measured in the same bees did not correlate, thus suggesting that they correspond to independent behavioral syndromes, a foraging and a defensive one. Bees which were more responsive to shock learned and memorized better aversive associations. Finally, guards were less responsive than nectar foragers to electric shocks, exhibiting higher tolerance to low voltage shocks. Consequently, foragers, which are more sensitive, were the ones learning and memorizing better in aversive conditioning. Our results constitute the first integrative study on how aversive responsiveness affects learning, memory and social

  15. Reappraising social insect behavior through aversive responsiveness and learning.

    Directory of Open Access Journals (Sweden)

    Edith Roussel

    Full Text Available The success of social insects can be in part attributed to their division of labor, which has been explained by a response threshold model. This model posits that individuals differ in their response thresholds to task-associated stimuli, so that individuals with lower thresholds specialize in this task. This model is at odds with findings on honeybee behavior as nectar and pollen foragers exhibit different responsiveness to sucrose, with nectar foragers having higher response thresholds to sucrose concentration. Moreover, it has been suggested that sucrose responsiveness correlates with responsiveness to most if not all other stimuli. If this is the case, explaining task specialization and the origins of division of labor on the basis of differences in response thresholds is difficult.To compare responsiveness to stimuli presenting clear-cut differences in hedonic value and behavioral contexts, we measured appetitive and aversive responsiveness in the same bees in the laboratory. We quantified proboscis extension responses to increasing sucrose concentrations and sting extension responses to electric shocks of increasing voltage. We analyzed the relationship between aversive responsiveness and aversive olfactory conditioning of the sting extension reflex, and determined how this relationship relates to division of labor.Sucrose and shock responsiveness measured in the same bees did not correlate, thus suggesting that they correspond to independent behavioral syndromes, a foraging and a defensive one. Bees which were more responsive to shock learned and memorized better aversive associations. Finally, guards were less responsive than nectar foragers to electric shocks, exhibiting higher tolerance to low voltage shocks. Consequently, foragers, which are more sensitive, were the ones learning and memorizing better in aversive conditioning.Our results constitute the first integrative study on how aversive responsiveness affects learning, memory and

  16. Behavioral Modeling Based on Probabilistic Finite Automata: An Empirical Study.

    Science.gov (United States)

    Tîrnăucă, Cristina; Montaña, José L; Ontañón, Santiago; González, Avelino J; Pardo, Luis M

    2016-06-24

    Imagine an agent that performs tasks according to different strategies. The goal of Behavioral Recognition (BR) is to identify which of the available strategies is the one being used by the agent, by simply observing the agent's actions and the environmental conditions during a certain period of time. The goal of Behavioral Cloning (BC) is more ambitious. In this last case, the learner must be able to build a model of the behavior of the agent. In both settings, the only assumption is that the learner has access to a training set that contains instances of observed behavioral traces for each available strategy. This paper studies a machine learning approach based on Probabilistic Finite Automata (PFAs), capable of achieving both the recognition and cloning tasks. We evaluate the performance of PFAs in the context of a simulated learning environment (in this case, a virtual Roomba vacuum cleaner robot), and compare it with a collection of other machine learning approaches.

  17. Differential Learning as a Key Training Approach to Improve Creative and Tactical Behavior in Soccer.

    Science.gov (United States)

    Santos, Sara; Coutinho, Diogo; Gonçalves, Bruno; Schöllhorn, Wolfgang; Sampaio, Jaime; Leite, Nuno

    2018-03-01

    The aim of this study was to identify the effects of a differential-learning program, embedded in small-sided games, on the creative and tactical behavior of youth soccer players. Forty players from under-13 (U13) and under-15 (U15) were allocated into control and experimental groups and were tested using a randomized pretest to posttest design using small-sided games situations. The experimental group participated in a 5-month differential-learning program embodied in small-sided games situations, while the control group participated in a typical small-sided games training program. In-game creativity was assessed through notational analyses of the creative components, and the players' positional data were used to compute tactical-derived variables. The findings suggested that differential learning facilitated the development of creative components, mainly concerning attempts (U13, small; U15, small), versatility (U13, moderate; U15, small), and originality (U13, unclear; U15, small) of players' actions. Likewise, the differential-learning approach provided a decrease in fails during the game in both experimental groups (moderate). Moreover, differential learning seemed to favor regularity in pitch-positioning behavior for the distance between players' dyads (U13, small; U15, small), the distance to the team target (U13, moderate; U15, small), and the distance to the opponent target (U13, moderate; U15, small). The differential-learning program stressed creative and positional behavior in both age groups with a distinct magnitude of effects, with the U13 players demonstrating higher improvements over the U15 players. Overall, these findings confirmed that the technical variability promoted by differential learning nurtures regularity of positioning behavior.

  18. Genetic dissection of behavioral flexibility: reversal learning in mice.

    Science.gov (United States)

    Laughlin, Rick E; Grant, Tara L; Williams, Robert W; Jentsch, J David

    2011-06-01

    Behavioral inflexibility is a feature of schizophrenia, attention-deficit/hyperactivity disorder, and behavior addictions that likely results from heritable deficits in the inhibitory control over behavior. Here, we investigate the genetic basis of individual differences in flexibility, measured using an operant reversal learning task. We quantified discrimination acquisition and subsequent reversal learning in a cohort of 51 BXD strains of mice (2-5 mice/strain, n = 176) for which we have matched data on sequence, gene expression in key central nervous system regions, and neuroreceptor levels. Strain variation in trials to criterion on acquisition and reversal was high, with moderate heritability (∼.3). Acquisition and reversal learning phenotypes did not covary at the strain level, suggesting that these traits are effectively under independent genetic control. Reversal performance did covary with dopamine D2 receptor levels in the ventral midbrain, consistent with a similar observed relationship between impulsivity and D2 receptors in humans. Reversal, but not acquisition, is linked to a locus on mouse chromosome 10 with a peak likelihood ratio statistic at 86.2 megabase (p work demonstrates the clear trait independence between, and genetic control of, discrimination acquisition and reversal and illustrates how globally coherent data sets for a single panel of highly related strains can be interrogated and integrated to uncover genetic sources and molecular and neuropharmacological candidates of complex behavioral traits relevant to human psychopathology. Copyright © 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

  19. Effects of novelty-reducing preparation on exploratory behavior and cognitive learning in a science museum setting

    Science.gov (United States)

    Kubota, Carole A.; Olstad, Roger G.

    The purpose of this study was to examine the relationships between (a) novelty and exploratory behavior, (b) novelty and cognitive learning, and (c) exploratory behavior and cognitive learning in science museums. Sixty-four sixth-grade public school students participated in a posttest-only control group design. The control group received a treatment designed to decrease the novelty of a field trip setting through a vicarious exposure while the placebo group received an informative but not novelty-reducing treatment. Both groups then visited the field site where they were videotaped. Statistical analyses were conducted on both dependent variables with socioeconomic status and academic achievement as covariates, novelty-reducing preparation as the independent variable, and gender as moderator variable. Exploratory behavior was shown to be positively correlated with cognitive learning. Significant differences were detected for exploratory behavior. For both dependent variables, gender by treatment group interaction was significant with novelty-reducing preparation shown to be highly effective on boys but having no effect on girls.

  20. The Fragile X Syndrome: Behavioral Phenotype and Learning Disabilities

    Directory of Open Access Journals (Sweden)

    Claudia GRAU RUBIO

    2016-04-01

    Full Text Available In this article, we describe the behavioral phenotype of individuals with Fragile X Syndrome and its impact in the educational scope. This syndrome is characterized by difficulties in sensory integration, cognitive deficits (verbal reasoning, abstract/ visual and cuantitative skills, short term memory, sequential processing, attention and executive processes, language disorders (phonetic-phonologicals, semanticals, morphosyntacticals and pragmaticals and communication disorders, social anxiety, general hyperarousal, autism, non autistic social difficulties, attention deficit and hyperactivity, and learning disabilities. The behavioral phenotype is highly variable and depends on sex, age, and mutation status (full mutation or premutation. The behavioural phenotype has important repercussions in education, as it enables us to understand the learning disabilities and to develop specific intervention strategies.

  1. How the challenge of explaining learning influenced the origins and development of John B. Watson's behaviorism.

    Science.gov (United States)

    Rilling, M

    2000-01-01

    Before he invented behaviorism, John B. Watson considered learning one of the most important topics in psychology. Watson conducted excellent empirical research on animal learning. He developed behaviorism in part to promote research and elevate the status of learning in psychology. Watson was much less successful in the adequacy and originality of the mechanisms he proposed to explain learning. By assimilating the method of classical conditioning and adopting Pavlov's theory of stimulus substitution, Watson linked behaviorism with a new method that could compete with both Titchener's method of introspection and Freud's methods of psychoanalysis. Watson's interest in explaining psychopathology led to the discovery of conditioned emotional responses and a behavioristic explanation for the learning of phobic behavior. Watson established learning as a central topic for basic research and application in American psychology.

  2. Common marmoset (Callithrix jacchus) as a primate model for behavioral neuroscience studies.

    Science.gov (United States)

    Prins, Noeline W; Pohlmeyer, Eric A; Debnath, Shubham; Mylavarapu, Ramanamurthy; Geng, Shijia; Sanchez, Justin C; Rothen, Daniel; Prasad, Abhishek

    2017-06-01

    The common marmoset (Callithrix jacchus) has been proposed as a suitable bridge between rodents and larger primates. They have been used in several types of research including auditory, vocal, visual, pharmacological and genetics studies. However, marmosets have not been used as much for behavioral studies. Here we present data from training 12 adult marmosets for behavioral neuroscience studies. We discuss the husbandry, food preferences, handling, acclimation to laboratory environments and neurosurgical techniques. In this paper, we also present a custom built "scoop" and a monkey chair suitable for training of these animals. The animals were trained for three tasks: 4 target center-out reaching task, reaching tasks that involved controlling robot actions, and touch screen task. All animals learned the center-out reaching task within 1-2 weeks whereas learning reaching tasks controlling robot actions task took several months of behavioral training where the monkeys learned to associate robot actions with food rewards. We propose the marmoset as a novel model for behavioral neuroscience research as an alternate for larger primate models. This is due to the ease of handling, quick reproduction, available neuroanatomy, sensorimotor system similar to larger primates and humans, and a lissencephalic brain that can enable implantation of microelectrode arrays relatively easier at various cortical locations compared to larger primates. All animals were able to learn behavioral tasks well and we present the marmosets as an alternate model for simple behavioral neuroscience tasks. Copyright © 2017 Elsevier B.V. All rights reserved.

  3. Modeling the behavioral substrates of associate learning and memory - Adaptive neural models

    Science.gov (United States)

    Lee, Chuen-Chien

    1991-01-01

    Three adaptive single-neuron models based on neural analogies of behavior modification episodes are proposed, which attempt to bridge the gap between psychology and neurophysiology. The proposed models capture the predictive nature of Pavlovian conditioning, which is essential to the theory of adaptive/learning systems. The models learn to anticipate the occurrence of a conditioned response before the presence of a reinforcing stimulus when training is complete. Furthermore, each model can find the most nonredundant and earliest predictor of reinforcement. The behavior of the models accounts for several aspects of basic animal learning phenomena in Pavlovian conditioning beyond previous related models. Computer simulations show how well the models fit empirical data from various animal learning paradigms.

  4. Treatment of avoidance behavior as an adjunct to exposure therapy: Insights from modern learning theory.

    Science.gov (United States)

    Treanor, Michael; Barry, Tom J

    2017-09-01

    Pathological avoidance of benign stimuli is a hallmark of anxiety and related disorders, and exposure-based treatments have often encouraged the removal of avoidance, or safety behaviors, due to their negative effects on extinction learning. Unfortunately, empirical evidence suggests that avoidance behaviors can persist following treatment, and the mere availability of avoidance behavior can be sufficient to renew fear following successful extinction learning. The present paper critically examines the function of avoidance behavior through the lens of modern learning theory, and speculates on novel behavioral and pharmacological strategies for targeting avoidance as an adjunct to current evidence-based treatments. Copyright © 2017. Published by Elsevier Ltd.

  5. Organic Determinants of Learning and Behavioral Disorders.

    Science.gov (United States)

    Philpott, William H.; And Others

    Theories regarding organic determinants of learning and behavior disorders are reviewed historically. Cases illustrating how a bio-ecologic examination can isolate the substances to which a person reacts and some of the reasons for those reactions are presented; and the role of various disorders in relation to the central nervous system is…

  6. Applications of operant learning theory to the management of challenging behavior after traumatic brain injury.

    Science.gov (United States)

    Wood, Rodger Ll; Alderman, Nick

    2011-01-01

    For more than 3 decades, interventions derived from learning theory have been delivered within a neurobehavioral framework to manage challenging behavior after traumatic brain injury with the aim of promoting engagement in the rehabilitation process and ameliorating social handicap. Learning theory provides a conceptual structure that facilitates our ability to understand the relationship between challenging behavior and environmental contingencies, while accommodating the constraints upon learning imposed by impaired cognition. Interventions derived from operant learning theory have most frequently been described in the literature because this method of associational learning provides good evidence for the effectiveness of differential reinforcement methods. This article therefore examines the efficacy of applying operant learning theory to manage challenging behavior after TBI as well as some of the limitations of this approach. Future developments in the application of learning theory are also considered.

  7. Analysis of learners’ behaviors and learning outcomes in a massive open online course

    Directory of Open Access Journals (Sweden)

    Dong Liang

    2014-09-01

    Full Text Available This paper introduces a massive open online course (MOOC on educational technology, and studies the factors that may influence learners’ participation and performance in the MOOC. Students’ learning records captured in the course management system and students’ feedback collected from a questionnaire survey are explored. Regression analysis is adopted to examine the correlation among perceived learning experience, learning activities and learning outcomes; data mining is applied to optimize the correlation models. The findings suggest that learners’ perceived usefulness rather than perceived ease of use of the MOOC, positively influences learners’ use of the system, and consequentially, the learning outcome. In addition, learners’ previous MOOC experience is not found to have a significant impact on their learning behavior and learning outcome in general. However, the performance of less active learners is found to be influenced by their prior MOOC experience.

  8. An examination of the impact of non-formal and informal learning on adult environmental knowledge, attitudes, and behaviors

    Science.gov (United States)

    Digby, Cynthia Louise Barrett

    The purpose of this research is to consider the environmental knowledge, attitudes, and behaviors, of adults in Minnesota, and possible factors that influence environmental literacy. Specifically, this study is designed to: (1) measure the environmental literacy of Minnesota adults, (2) explore possible relationships between Minnesota adults, environmental literacy variables and their demographic, non-formal and informal learning, and (3) determine the relative contribution of demographic and learning variables for predicting environmental knowledge, attitudes and behaviors. This research was accomplished by conducting a secondary data analysis of The Third Minnesota Report Card on Environmental Literacy: A Survey of Adult Environmental Knowledge, Attitudes and Behavior (Murphy & Olson, 2008). Phone interviews were completed between August and November 2007 with one thousand adults throughout Minnesota. Findings indicated that for age, education, and income, there was a weak positive relationship with environmental knowledge, attitude and behavior scores. There was a significant effect for gender and environmental knowledge scores, with males receiving higher environmental knowledge scores than females. There was a significant effect for gender and environmental attitudes, and behavior scores as well, with females receiving slightly higher environmental attitude and behavior scores than males. After controlling for the effects of demographic variables on environmental knowledge, attitudes and behaviors, non-formal learning participation appears to be a moderate contributor to both environmental knowledge and environmental behaviors. After controlling for the effects of demographic variables on environmental knowledge, attitudes and behaviors, informal learning participation appears to be a slight contributor to environmental attitudes, and a moderate contributor to environmental knowledge and behaviors. Overall, the results of this study suggest that participation

  9. Neuromodulatory Adaptive Combination of Correlation-based Learning in Cerebellum and Reward-based Learning in Basal Ganglia for Goal-directed Behavior Control

    DEFF Research Database (Denmark)

    Dasgupta, Sakyasingha; Wörgötter, Florentin; Manoonpong, Poramate

    2014-01-01

    Goal-directed decision making in biological systems is broadly based on associations between conditional and unconditional stimuli. This can be further classified as classical conditioning (correlation-based learning) and operant conditioning (reward-based learning). A number of computational...... and experimental studies have well established the role of the basal ganglia in reward-based learning, where as the cerebellum plays an important role in developing specific conditioned responses. Although viewed as distinct learning systems, recent animal experiments point toward their complementary role...... in behavioral learning, and also show the existence of substantial two-way communication between these two brain structures. Based on this notion of co-operative learning, in this paper we hypothesize that the basal ganglia and cerebellar learning systems work in parallel and interact with each other. We...

  10. Academic Achievements, Behavioral Problems, and Loneliness as Predictors of Social Skills among Students with and without Learning Disorders

    Science.gov (United States)

    Zach, Sima; Yazdi-Ugav, Orly; Zeev, Aviva

    2016-01-01

    This study aimed to examine to what extent academic achievements, learning disorders, behavior problems and loneliness explain the variance of students' social skills. The differences between students diagnosed with learning disorders and students without learning disorders in all four variables were examined. Participants were 733 elementary…

  11. Behaviorism, latent learning, and cognitive maps: needed revisions in introductory psychology textbooks.

    Science.gov (United States)

    Jensen, Robert

    2006-01-01

    This paper critically assesses the scholarship in introductory psychology textbooks in relation to the topic of latent learning. A review of the treatment of latent learning in 48 introductory psychology textbooks published between 1948 and 2004, with 21 of these texts published since 1999, reveals that the scholarship on the topic of latent learning demonstrated in introductory textbooks warrants improvement. Errors that persist in textbooks include the assertion that the latent learning experiments demonstrate unequivocally that reinforcement was not necessary for learning to occur, that behavioral theories could not account for the results of the latent learning experiments, that B. F. Skinner was an S-R association behaviorist who argued that reinforcement is necessary for learning to occur, and that because behavioral theories (including that of B. F. Skinner) were unable explain the results of the latent learning experiments the cognitive map invoked by Edward Tolman is the only explanation for latent learning. Finally, the validity of the cognitive map is typically accepted without question. Implications of the presence of these errors for students and the discipline are considered. Lastly, remedies are offered to improve the scholarship found in introductory psychology textbooks.

  12. A Contextualized, Differential Sequence Mining Method to Derive Students' Learning Behavior Patterns

    Science.gov (United States)

    Kinnebrew, John S.; Loretz, Kirk M.; Biswas, Gautam

    2013-01-01

    Computer-based learning environments can produce a wealth of data on student learning interactions. This paper presents an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs a novel combination of sequence mining techniques to identify deferentially…

  13. Behavioral and neurobiological mechanisms of extinction in Pavlovian and instrumental learning.

    Science.gov (United States)

    Todd, Travis P; Vurbic, Drina; Bouton, Mark E

    2014-02-01

    This article reviews research on the behavioral and neural mechanisms of extinction as it is represented in both Pavlovian and instrumental learning. In Pavlovian extinction, repeated presentation of a signal without its reinforcer weakens behavior evoked by the signal; in instrumental extinction, repeated occurrence of a voluntary action without its reinforcer weakens the strength of the action. In either case, contemporary research at both the behavioral and neural levels of analysis has been guided by a set of extinction principles that were first generated by research conducted at the behavioral level. The review discusses these principles and illustrates how they have informed the study of both Pavlovian and instrumental extinction. It shows that behavioral and neurobiological research efforts have been tightly linked and that their results are readily integrated. Pavlovian and instrumental extinction are also controlled by compatible behavioral and neural processes. Since many behavioral effects observed in extinction can be multiply determined, we suggest that the current close connection between behavioral-level and neural-level analyses will need to continue. Copyright © 2013 Elsevier Inc. All rights reserved.

  14. Crayfish Behavior: Observing Arthropods to Learn about Science & Scientific Inquiry

    Science.gov (United States)

    Rop, Charles J.

    2010-01-01

    This is a set of animal behavior investigations in which students will practice scientific inquiry as they observe crayfish, ask questions, and discuss territoriality, social interactions, and other behaviors. In doing this, they hone their skills of observation, learn to record and analyze data, control for variables, write hypotheses, make…

  15. Long term treadmill exercise performed to chronic social isolated rats regulate anxiety behavior without improving learning.

    Science.gov (United States)

    Cevik, Ozge Selin; Sahin, Leyla; Tamer, Lulufer

    2018-05-01

    The type and duration of exposure to stress is an important influence on emotional and cognitive functions. Learning is the adaptive response of the central nervous system that occurs in hippocampus which affects from environmental factors like exercise. In this study, we investigated effects of long term treadmill exercise on learning and behavior on chronic social isolated rat. Male Wistar rats (n = 32) randomly assigned into four groups: control, exercised, social isolation, social isolation + exercise during postnatal days (PNDs) 21-34. Social isolation protocol was applied during 14 days by placing rat in a cage one by one. Rats were exercised during 5 days, days were chosen randomly for overall 4 weeks (20, 30, 50, 60 min respectively). Finally, learning performance was evaluated by Morris water maze (MWM). Anxiety behavior was evaluated by Open field and elevated plus maze test. At the end of learning and behavior tests, the rats were decapitated to collect blood samples via intracardiac puncture and corticosterone analysis was performed with ELISA method. Animal weights and water consumption did not change significantly but food intake differed among groups. Corticosterone level did not change between groups. The frequency of entering to the target quadrant increased in exercised rat significantly. However, there was no difference in learning and memory in rats. Treadmill exercise reduced anxiety behavior significantly. Taken together these findings may point out that, long term treadmill exercise did not change learning and memory but reduced anxiety level of rat without changing corticosterone level. Copyright © 2018 Elsevier Inc. All rights reserved.

  16. Understanding E-Learning Adoption among Brazilian Universities: An Application of the Decomposed Theory of Planned Behavior

    Science.gov (United States)

    Dos Santos, Luiz Miguel Renda; Okazaki, Shintaro

    2013-01-01

    This study sheds light on the organizational dimensions underlying e-learning adoption among Brazilian universities. We propose an organizational e-learning adoption model based on the decomposed theory of planned behavior (TPB). A series of hypotheses are posited with regard to the relationships among the proposed constructs. The model is…

  17. Effects of Corporal Punishment and Psychological Treatment on Students' Learning and Behavior

    Science.gov (United States)

    Arif, Muhammad Shahbaz; Rafi, Muhammad Shaban

    2007-01-01

    This paper aims to test the effects of corporal punishment and psychological treatment on students' learning and on their behavior. A pilot study, followed with experimental test, was framed in a demographically controlled environment on homogeneous variables at Punjab University Laboratory School, Pakistan over the period of six months.…

  18. Educating dental students about diet-related behavior change: does experiential learning work?

    Science.gov (United States)

    Taylor, George W; Stumpos, Madelyn L; Kerschbaum, Wendy; Inglehart, Marita Rohr

    2014-01-01

    The objective of this study was to explore whether an experiential exercise in a nutrition class would a) increase dental students' motivation to change their own diet-related behavior, b) improve their understanding of theoretical concepts related to behavior change, and c) improve their attitudes towards educating their patients about diet-related behavior. Data were collected from 218 senior dental students in one dental school (2010: 106; 2011: 112) during their nutrition class. The students agreed at the beginning that it was important to change their own diet-related behavior. After one week, the majority agreed that they had changed how they felt and thought about the targeted behavior and what they actually did. After three weeks and at the end of the term, they rated the exercise as helpful for gaining a better understanding of health education theories. The majority indicated that the exercise had helped them understand the difficulty of diet-related behavior change and that it had increased their interest in helping patients change their diet-related behavior. In conclusion, this study suggests that experiential learning about diet-related behavior change is likely to affect students' own behavior positively and to result in increased understanding of behavior change theories and positive behavioral intentions concerning future health education efforts with patients.

  19. Experience the city : analysis of space-time behavior and spatial learning

    NARCIS (Netherlands)

    Moiseeva, A.

    2013-01-01

    Learning plays an important role by coding information into individual cognitive maps that can be used to make decisions concerning individual behavior in space. Through traveling people learn about the urban environment and update their knowledge. In this regard, the growing concern in the field of

  20. The Relationship of Docosahexaenoic Acid (DHA) with Learning and Behavior in Healthy Children: A Review

    Science.gov (United States)

    Kuratko, Connye N.; Barrett, Erin Cernkovich; Nelson, Edward B.; Norman, Salem

    2013-01-01

    Childhood is a period of brain growth and maturation. The long chain omega-3 fatty acid, docosahexaenoic acid (DHA), is a major lipid in the brain recognized as essential for normal brain function. In animals, low brain DHA results in impaired learning and behavior. In infants, DHA is important for optimal visual and cognitive development. The usual intake of DHA among toddlers and children is low and some studies show improvements in cognition and behavior as the result of supplementation with polyunsaturated fatty acids including DHA. The purpose of this review was to identify and evaluate current knowledge regarding the relationship of DHA with measures of learning and behavior in healthy school-age children. A systematic search of the literature identified 15 relevant publications for review. The search found studies which were diverse in purpose and design and without consistent conclusions regarding the treatment effect of DHA intake or biomarker status on specific cognitive tests. However, studies of brain activity reported benefits of DHA supplementation and over half of the studies reported a favorable role for DHA or long chain omega-3 fatty acids in at least one area of cognition or behavior. Studies also suggested an important role for DHA in school performance. PMID:23877090

  1. The Relationship of Docosahexaenoic Acid (DHA with Learning and Behavior in Healthy Children: A Review

    Directory of Open Access Journals (Sweden)

    Norman Salem

    2013-07-01

    Full Text Available Childhood is a period of brain growth and maturation. The long chain omega-3 fatty acid, docosahexaenoic acid (DHA, is a major lipid in the brain recognized as essential for normal brain function. In animals, low brain DHA results in impaired learning and behavior. In infants, DHA is important for optimal visual and cognitive development. The usual intake of DHA among toddlers and children is low and some studies show improvements in cognition and behavior as the result of supplementation with polyunsaturated fatty acids including DHA. The purpose of this review was to identify and evaluate current knowledge regarding the relationship of DHA with measures of learning and behavior in healthy school-age children. A systematic search of the literature identified 15 relevant publications for review. The search found studies which were diverse in purpose and design and without consistent conclusions regarding the treatment effect of DHA intake or biomarker status on specific cognitive tests. However, studies of brain activity reported benefits of DHA supplementation and over half of the studies reported a favorable role for DHA or long chain omega-3 fatty acids in at least one area of cognition or behavior. Studies also suggested an important role for DHA in school performance.

  2. Using findings in multimedia learning to inform technology-based behavioral health interventions.

    Science.gov (United States)

    Aronson, Ian David; Marsch, Lisa A; Acosta, Michelle C

    2013-09-01

    Clinicians and researchers are increasingly using technology-based behavioral health interventions to improve intervention effectiveness and to reach underserved populations. However, these interventions are rarely informed by evidence-based findings of how technology can be optimized to promote acquisition of key skills and information. At the same time, experts in multimedia learning generally do not apply their findings to health education or conduct research in clinical contexts. This paper presents an overview of some key aspects of multimedia learning research that may allow those developing health interventions to apply informational technology with the same rigor as behavioral science content. We synthesized empirical multimedia learning literature from 1992 to 2011. We identified key findings and suggested a framework for integrating technology with educational and behavioral science theory. A scientific, evidence-driven approach to developing technology-based interventions can yield greater effectiveness, improved fidelity, increased outcomes, and better client service.

  3. Personal Learning Environment – a Conceptual Study

    Directory of Open Access Journals (Sweden)

    Herbert Mühlburger

    2010-01-01

    Full Text Available The influence of digital technologies as well as the World Wide Web on education rises dramatically. In former years Learning Management Systems (LMS were introduced on educational institutes to address the needs both their institutions and their lecturers. Nowadays a shift from an institution-centered approach to a learner-centered one becomes necessary to allow individuality through the learning process and to think about learning strategies in general. In this paper a first approach of a Personal Learning Environment (PLE is described. The technological concept is pointed out as well as a study about the graphical user-interface done at Graz University of Technology (TU Graz. It can be concluded that PLEs are the next generation environments, which help to improve the learning and teaching behavior

  4. The Relationship between Learning Styles and Information Seeking Behavior in Master Degree Students of Medical Sciences in Shahid Sadoughi University of Medical Sciences in Yazd

    Directory of Open Access Journals (Sweden)

    M Parsaeian

    2016-11-01

    Full Text Available Introduction: Learning styles influence the methods and ways of obtaining information and lead to the variety of information seeking behaviors from the searchers. This study aimed to investigate the relationship between learning styles and information seeking behavior in master degree students of medical science in Shahid Sadoughi University of Medical Sciences in Yazd. Methods: This study was a cross-sectional analytic study. The population of the study was 601 master degree students of Shahid Sadoughi University of Medical Sciences in Yazd in 2013-2015. They were all freshmen. The sample size of 234 students was determined using Cochran formula. Data were collected by two questionnaires (Kolb questionnaire and researcher-made seeking behavior questionnaire. The validity of questionnaires was confirmed by a panel of experts and their reliability was confirmed by Cronbach`s alpha. Data analysis was done by inferential statistics and statistical software SPSS (version 18. Measuring the significant relationship between learning styles and information seeking behavior was done with Pierson correlation coefficient. The significant difference between learning styles and information seeking behavior in terms of gender and faculty was examined by Fisher`s test. Results: Learning styles had effect on information seeking behavior; also correlation coefficients between the learning styles and information seeking behavior had significant difference, but there was no difference in terms of faculty. Conclution: Recognition of learning styles and including it into designing of information systems may increase system`s interactivity that it may lead to have better and faster accessibility to information resources.

  5. Behavioral similarity measurement based on image processing for robots that use imitative learning

    Science.gov (United States)

    Sterpin B., Dante G.; Martinez S., Fernando; Jacinto G., Edwar

    2017-02-01

    In the field of the artificial societies, particularly those are based on memetics, imitative behavior is essential for the development of cultural evolution. Applying this concept for robotics, through imitative learning, a robot can acquire behavioral patterns from another robot. Assuming that the learning process must have an instructor and, at least, an apprentice, the fact to obtain a quantitative measurement for their behavioral similarity, would be potentially useful, especially in artificial social systems focused on cultural evolution. In this paper the motor behavior of both kinds of robots, for two simple tasks, is represented by 2D binary images, which are processed in order to measure their behavioral similarity. The results shown here were obtained comparing some similarity measurement methods for binary images.

  6. Studies of learned helplessness in honey bees (Apis mellifera ligustica).

    Science.gov (United States)

    Dinges, Christopher W; Varnon, Christopher A; Cota, Lisa D; Slykerman, Stephen; Abramson, Charles I

    2017-04-01

    The current study reports 2 experiments investigating learned helplessness in the honey bee (Apis mellifera ligustica). In Experiment 1, we used a traditional escape method but found the bees' activity levels too high to observe changes due to treatment conditions. The bees were not able to learn in this traditional escape procedure; thus, such procedures may be inappropriate to study learned helplessness in honey bees. In Experiment 2, we used an alternative punishment, or passive avoidance, method to investigate learned helplessness. Using a master and yoked design where bees were trained as either master or yoked and tested as either master or yoked, we found that prior training with unavoidable and inescapable shock in the yoked condition interfered with avoidance and escape behavior in the later master condition. Unlike control bees, learned helplessness bees failed to restrict their movement to the safe compartment following inescapable shock. Unlike learned helplessness studies in other animals, no decrease in general activity was observed. Furthermore, we did not observe a "freezing" response to inescapable aversive stimuli-a phenomenon, thus far, consistently observed in learned helplessness tests with other species. The bees, instead, continued to move back and forth between compartments despite punishment in the incorrect compartment. These findings suggest that, although traditional escape methods may not be suitable, honey bees display learned helplessness in passive avoidance procedures. Thus, regardless of behavioral differences from other species, honey bees can be a unique invertebrate model organism for the study of learned helplessness. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  7. Lifelong learning in nursing: a Delphi study.

    Science.gov (United States)

    Davis, Lisa; Taylor, Heidi; Reyes, Helen

    2014-03-01

    In order to foster a culture of lifelong learning in nursing, it is important to identify what the concept means in the nursing profession as well as the characteristics of a lifelong learner. The purpose of this Delphi study was to conceptualize lifelong learning from the perspective of nursing, and to identify characteristics and essential elements of lifelong learning. A Delphi Study technique in three phases was completed using an online survey tool. Data were analyzed for conceptual description, ratings of characteristics and attributes, and expert consensus in these three phases. An online survey tool was used in this study. Recognized experts in nursing education, administration and public policy participated in this study. Lifelong learning in nursing is defined as a dynamic process, which encompasses both personal and professional life. This learning process is also both formal and informal. Lifelong learning involves seeking and appreciating new worlds or ideas in order to gain a new perspective as well as questioning one's environment, knowledge, skills and interactions. The most essential characteristics of a lifelong learner are reflection, questioning, enjoying learning, understanding the dynamic nature of knowledge, and engaging in learning by actively seeking learning opportunities. Keeping the mind active is essential to both lifelong learning and being able to translate knowledge into the capacity to deliver high quality nursing care. It is hoped that a clearer understanding of lifelong learning in nursing will foster more discussion and research about intentional, active inclusion of lifelong learning behaviors in nursing curricula. Copyright © 2013 Elsevier Ltd. All rights reserved.

  8. Aversive Learning and Trait Aggression Influence Retaliatory Behavior.

    Science.gov (United States)

    Molapour, Tanaz; Lindström, Björn; Olsson, Andreas

    2016-01-01

    In two experiments (n = 35, n = 34), we used a modified fear-conditioning paradigm to investigate the role of aversive learning in retaliatory behavior in social context. Participants first completed an initial aversive learning phase in which the pairing of a neutral conditioned stimulus (CS; i.e., neutral face) with a naturally aversive unconditioned stimulus (US; electric shock) was learned. Then they were given an opportunity to interact (i.e., administer 0-2 shocks) with the same faces again, during a Test phase. In Experiment 2, we used the same paradigm with the addition of online trial-by-trial ratings (e.g., US expectancy and anger) to examine the role of aversive learning, anger, and the learned expectancy of receiving punishment more closely. Our results indicate that learned aversions influenced future retaliation in a social context. In both experiments, participants showed largest skin conductance responses (SCRs) to the faces paired with one or two shocks, demonstrating successful aversive learning. Importantly, participants administered more shocks to the faces paired with the most number of shocks when the opportunity was given during test. Also, our results revealed that aggressive traits (Buss and Perry Aggression scale) were associated with retaliation only toward CSs associated with aversive experiences. These two experiments show that aggressive traits, when paired with aversive learning experiences enhance the likelihood to act anti-socially toward others.

  9. The Costly Consequences of not Being Socially and Behaviorally Ready to Learn by Kindergarten in Baltimore City.

    Science.gov (United States)

    Bettencourt, Amie F; Gross, Deborah; Ho, Grace; Perrin, Nancy

    2018-02-01

    Social, emotional, and behavioral skills are foundational to learning and long-term success. However, poverty and exposure to adverse childhood experiences reduce the chances of children entering kindergarten socially-behaviorally ready to learn. This study examined the unique impact of 5-year-old children (N = 11,412) entering kindergarten not socially-behaviorally ready on three costly school outcomes by fourth grade in Baltimore City Public Schools: being retained in grade, receiving services and supports through an IEP or 504 plan, and being suspended/expelled. Controlling for all other types of school readiness, students not identified as socially-behaviorally ready for kindergarten were more likely to experience all three school outcomes. Findings underscore the importance of early prevention and intervention strategies targeting parents and social-behavioral readiness skills during the first 5 years of life.

  10. Preschool Interactive Peer Play Mediates Problem Behavior and Learning for Low-Income Children

    Science.gov (United States)

    Bulotsky-Shearer, Rebecca J.; Bell, Elizabeth R.; Romero, Sandy L.; Carter, Tracy M.

    2012-01-01

    The study employed a developmental, ecological, and resiliency framework to examine whether interactive peer play competencies mediated associations between teacher reported problem behavior and learning outcomes for a representative sample of urban low-income children (N = 507 across 46 Head Start classrooms). Structural equation models provided…

  11. The Relationship Between Duration of Postrotary Nystagmus and Driver Behavior: Learning Theory Module.

    Science.gov (United States)

    Geier, Suzanne Smith; Young, Barbara

    It was hypothesized that behavior patterns, learned early in life and maintained by almost continuous reinforcement, are determined by basic physiology, which in this study is represented by the duration of postrotary nystagmus (involuntary eyeball movement following rotational stimulation). The Southern California Postrotary Nystagmus Test was…

  12. The effectiveness of internet-based e-learning on clinician behavior and patient outcomes: a systematic review protocol.

    Science.gov (United States)

    Sinclair, Peter; Kable, Ashley; Levett-Jones, Tracy

    2015-01-01

    The objective of this systematic review is to identify, appraise and synthesize the best available evidence for the effectiveness of internet-based e-learning programs on health care professional behavior and patient outcomes. Technological innovation has not only impacted social change in recent years but has been the prime driver of educational transformation.The newest consumers of post-secondary education, the so-called 'digital natives', have come to expect education to be delivered in a way that offers increased usability and convenience. Health care professionals (HCPs) in the clinical setting, particularly those in rural and remote communities, are no different. Today's health workforce has a professional responsibility to maintain competency in practice through achieving a minimum number of hours of continuing professional development. Consequently, HCPs seeking professional development opportunities are reliant on sourcing these independently according to individual learning needs. However, difficulties exist in some health professionals' access to ongoing professional development opportunities, particularly those with limited access face-to-face educationdue to geographical isolation or for those not enrolled in a formal program of study.These issues challenge traditional methods of teaching delivery; electronic learning (e-learning) is at the nexus of overcoming these challenges.The term e-learning originated in the mid-1990s as the internet began to gather momentum.Electronic learning can be broadly defined as any type of educational media that is delivered in an electronic form.Terms such as computer-assisted learning, online learning, web-based learning and e-learning are often used synonymously but all reflect knowledge transfer via an electronic device. This broad definition allows for a gamut of multimedia to be used for the purpose of constructing and assessing knowledge. Multimedia typically used in e-learning range from the now archaic Compact

  13. Sex differences in vicarious trial-and-error behavior during radial arm maze learning.

    Science.gov (United States)

    Bimonte, H A; Denenberg, V H

    2000-02-01

    We investigated sex differences in VTE behavior in rats during radial arm maze learning. Females made more VTEs than males, although there were no sex differences in learning. Further, VTEs and errors were positively correlated during the latter testing sessions in females, but not in males. This sex difference may be a reflection of differences between the sexes in conflict behavior or cognitive strategy while solving the maze.

  14. The Culture of Academic Medicine: Faculty Behaviors Impacting the Learning Environment.

    Science.gov (United States)

    Moutier, Christine; Wingard, Deborah; Gudea, Monica; Jeste, Dilip; Goodman, Seneca; Reznik, Vivian

    2016-12-01

    The culture of academic medical institutions impacts trainee education, among many other faculty and patient outcomes. Disrespectful behavior by faculty is one of the most challenging and common problems that, left unattended, disrupts healthy work and learning environments. Conversely, a respectful environment facilitates learning, creates a sense of safety, and rewards professionalism. The authors developed surveys and an intervention in an effort to better understand and improve climate concerns among health sciences faculty at the University of California, San Diego (UCSD), a research-intense, public, academic medical center. An online "climate survey" of all UC San Diego health sciences faculty was conducted in 2011-2012. A strategic campaign to address the behavioral issues identified in the initial survey was subsequently launched. In 2015, the climate was re-evaluated in order to assess the effectiveness of the intervention. A total of 478 faculty members (223 women, 235 men, 35 % of faculty) completed the baseline survey, reporting relatively low levels of observed sexual harassment (7 %). However, faculty reported concerning rates of other disruptive behaviors: derogatory comments (29 %), anger outbursts (25 %), and hostile communication (25 %). Women and mid-level faculty were more likely to report these behavioral concerns than men and junior or senior colleagues. Three years after an institutional strategy was initiated, 729 faculty members (50 % of the faculty) completed a follow-up survey. The 2015 survey results indicate significant improvement in numerous climate factors, including overall respectful behaviors, as well as behaviors related to gender. In order to enhance a culture of respect in the learning environment, institutions can effectively engage academic leaders and faculty at all levels to address disruptive behavior and enhance positive climate factors.

  15. The key role of extinction learning in anxiety disorders: behavioral strategies to enhance exposure-based treatments.

    Science.gov (United States)

    Pittig, Andre; van den Berg, Linda; Vervliet, Bram

    2016-01-01

    Extinction learning is a major mechanism for fear reduction by means of exposure. Current research targets innovative strategies to enhance fear extinction and thereby optimize exposure-based treatments for anxiety disorders. This selective review updates novel behavioral strategies that may provide cutting-edge clinical implications. Recent studies provide further support for two types of enhancement strategies. Procedural enhancement strategies implemented during extinction training translate to how exposure exercises may be conducted to optimize fear extinction. These strategies mostly focus on a maximized violation of dysfunctional threat expectancies and on reducing context and stimulus specificity of extinction learning. Flanking enhancement strategies target periods before and after extinction training and inform optimal preparation and post-processing of exposure exercises. These flanking strategies focus on the enhancement of learning in general, memory (re-)consolidation, and memory retrieval. Behavioral strategies to enhance fear extinction may provide powerful clinical applications to further maximize the efficacy of exposure-based interventions. However, future replications, mechanistic examinations, and translational studies are warranted to verify long-term effects and naturalistic utility. Future directions also comprise the interplay of optimized fear extinction with (avoidance) behavior and motivational antecedents of exposure.

  16. Schools' Mental Health Services and Young Children's Emotions, Behavior, and Learning

    Science.gov (United States)

    Reback, Randall

    2010-01-01

    Recent empirical research has found that children's noncognitive skills play a critical role in their own success, young children's behavioral and psychological disorders can severely harm their future outcomes, and disruptive students harm the behavior and learning of their classmates. Yet relatively little is known about wide-scale interventions…

  17. STDP-based behavior learning on the TriBot robot

    Science.gov (United States)

    Arena, P.; De Fiore, S.; Patané, L.; Pollino, M.; Ventura, C.

    2009-05-01

    This paper describes a correlation-based navigation algorithm, based on an unsupervised learning paradigm for spiking neural networks, called Spike Timing Dependent Plasticity (STDP). This algorithm was implemented on a new bio-inspired hybrid mini-robot called TriBot to learn and increase its behavioral capabilities. In fact correlation based algorithms have been found to explain many basic behaviors in simple animals. The main interesting consequence of STDP is that the system is able to learn high-level sensor features, based on a set of basic reflexes, depending on some low-level sensor inputs. TriBot is composed of 3 modules, the first two being identical and inspired by the Whegs hybrid robot. The peculiar characteristics of the robot consists in the innovative shape of the three-spoke appendages that allow to increase stability of the structure. The last module is composed of two standard legs with 3 degrees of freedom each. Thanks to the cooperation among these modules, TriBot is able to face with irregular terrains overcoming potential deadlock situations, to climb high obstacles compared to its size and to manipulate objects. Robot experiments will be reported to demonstrate the potentiality and the effectiveness of the approach.

  18. The Factor Structure of Preschool Learning Behaviors Scale Scores in Peruvian Children

    Science.gov (United States)

    Hahn, Kathryn R.; Schaefer, Barbara A.; Merino, Cesar; Worrell, Frank C.

    2009-01-01

    The factor structure of the Escala de Conductas de Aprendizaje Preescolar (ECAP), a Spanish translation of the Preschool Learning Behaviors Scale (PLBS), was examined in this study. Children aged 2 to 6 years (N = 328) enrolled in public and private preschools in the Republic of Peru were rated by classroom teachers on the frequency of observable,…

  19. Increasing Student Metacognition and Learning through Classroom-Based Learning Communities and Self-Assessment

    Directory of Open Access Journals (Sweden)

    Amy Siegesmund

    2016-05-01

    Full Text Available Student overconfidence challenges success in introductory biology. This study examined the impact of classroom learning communities and self-assessment on student metacognition and subsequent impact on student epistemological beliefs, behaviors, and learning. Students wrote weekly self-assessments reflecting on the process of learning and received individual feedback. Students completed a learning strategies inventory focused on metacognition and study behaviors at the beginning and end of the semester and a Student Assessment of their Learning Gains (SALG at the end of the semester. Results indicated significant changes in both metacognition and study behaviors over the course of the semester, with a positive impact on learning as determined by broad and singular measures. Self-assessments and SALG data demonstrated a change in student beliefs and behaviors. Taken together, these findings argue that classroom learning communities and self-assessment can increase student metacognition and change student epistemological beliefs and behaviors.

  20. A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.

    Science.gov (United States)

    Bassett, Danielle S; Mattar, Marcelo G

    2017-04-01

    Humans adapt their behavior to their external environment in a process often facilitated by learning. Efforts to describe learning empirically can be complemented by quantitative theories that map changes in neurophysiology to changes in behavior. In this review we highlight recent advances in network science that offer a sets of tools and a general perspective that may be particularly useful in understanding types of learning that are supported by distributed neural circuits. We describe recent applications of these tools to neuroimaging data that provide unique insights into adaptive neural processes, the attainment of knowledge, and the acquisition of new skills, forming a network neuroscience of human learning. While promising, the tools have yet to be linked to the well-formulated models of behavior that are commonly utilized in cognitive psychology. We argue that continued progress will require the explicit marriage of network approaches to neuroimaging data and quantitative models of behavior. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. A Case Study of Leadership Pedagogy in an Organizational Behavior Class

    Science.gov (United States)

    Ingerson, Kati; Bruce, Jackie

    2015-01-01

    The purpose of this study was to understand if selected leadership pedagogy (hands on activities) utilized in an organizational behavior classroom contributed to the development of workplace readiness skills. Since successful organizational behavior classes and hands on learning can lead to successful graduates, the importance of leadership…

  2. What Teachers Think about Self-Regulated Learning: Investigating Teacher Beliefs and Teacher Behavior of Enhancing Students’ Self-Regulation

    OpenAIRE

    Dignath-van Ewijk, Charlotte; van der Werf, Greetje

    2012-01-01

    In order to foster self-regulated learning (SRL), teachers should provide students with learning strategies, as well as with constructivist learning environments that allow them to self-regulate their learning. These two components complement each other. When investigating teachers’ promotion of SRL, not only teacher behavior, but also teachers’ beliefs as well as their knowledge about SRL are relevant aspects to consider. Therefore, this study seeks to examine teachers’ knowledge and beliefs...

  3. Learning behavior and learning opportunities as career stimuli

    NARCIS (Netherlands)

    van der Sluis, E.C.

    2002-01-01

    This paper presents some preliminary findings of a study in the field of work-related learning and management development from a managerial perspective. The interaction between individual and organisational characteristics builds the frame of reference to establish a management learning model, which

  4. Using Ants, Animal Behavior & the Learning Cycle to Investigate Scientific Processes

    Science.gov (United States)

    Ligon, Russell A.; Dolezal, Adam G.; Hicks, Michael R.; Butler, Michael W.; Morehouse, Nathan I.; Ganesh, Tirupalavanam G.

    2014-01-01

    The behavior of animals is an intrinsically fascinating topic for students from a wide array of backgrounds. We describe a learning experience using animal behavior that we created for middle school students as part of a graduate-student outreach program, Graduate Partners in Science Education, at Arizona State University in collaboration with a…

  5. The Classroom Environment Study: Teaching for Learning.

    Science.gov (United States)

    Anderson, Lorin W.

    1987-01-01

    The IEA's Classroom Environment Study, implemented in grades 5-9 in 9 countries, examined effects on student outcomes of home, community, school, teacher, and student characteristics and classroom practices. Across countries, course content varied widely, but teachers relied on relatively few classroom behaviors. Student learning was affected by…

  6. A Social-Behavioral Learning Strategy Intervention for a Child with Asperger Syndrome: Brief Report

    Science.gov (United States)

    Bock, Marjorie A.

    2007-01-01

    This study examined the effect of a social-behavioral learning strategy intervention (Stop-Observe-Deliberate-Act; SODA) on the social interaction skills of one middle school student with Asperger syndrome (AS). More specifically, the study investigated the effect of SODA training on the ability of one student with AS to participate in cooperative…

  7. Facilitating Effective Digital Game-Based Learning Behaviors and Learning Performances of Students Based on a Collaborative Knowledge Construction Strategy

    Science.gov (United States)

    Sung, Han-Yu; Hwang, Gwo-Jen

    2018-01-01

    Researchers have recognized the potential of educational computer games in improving students' learning engagement and outcomes; however, facilitating effective learning behaviors during the gaming process remains an important and challenging issue. In this paper, a collaborative knowledge construction strategy was incorporated into an educational…

  8. Differences in depression and self-esteem reported by learning disabled and behavior disordered middle school students.

    Science.gov (United States)

    Stanley, P D; Dai, Y; Nolan, R F

    1997-04-01

    Although generalizations from research are helpful in guiding problem identification and interventions in a school setting, characteristics of specific groups must not be overlooked if all students are to be served effectively. Differences in the areas of self-reported self-esteem and depression are frequently pertinent to decisions and recommendations educational professionals are called on to make. The current study examined differences in the level of self-reported self-esteem and depression between learning disabled and behavior disordered middle school students. Sixty-one participants completed the Coopersmith Self-Esteem Inventory (CSEI) and the Children's Depression Inventory (CDI). Similarities and differences between learning disabled and behavior disordered students were identified.

  9. A low concentration of ethanol impairs learning but not motor and sensory behavior in Drosophila larvae.

    Directory of Open Access Journals (Sweden)

    Brooks G Robinson

    Full Text Available Drosophila melanogaster has proven to be a useful model system for the genetic analysis of ethanol-associated behaviors. However, past studies have focused on the response of the adult fly to large, and often sedating, doses of ethanol. The pharmacological effects of low and moderate quantities of ethanol have remained understudied. In this study, we tested the acute effects of low doses of ethanol (∼7 mM internal concentration on Drosophila larvae. While ethanol did not affect locomotion or the response to an odorant, we observed that ethanol impaired associative olfactory learning when the heat shock unconditioned stimulus (US intensity was low but not when the heat shock US intensity was high. We determined that the reduction in learning at low US intensity was not a result of ethanol anesthesia since ethanol-treated larvae responded to the heat shock in the same manner as untreated animals. Instead, low doses of ethanol likely impair the neuronal plasticity that underlies olfactory associative learning. This impairment in learning was reversible indicating that exposure to low doses of ethanol does not leave any long lasting behavioral or physiological effects.

  10. Behavioral Ethics in Practice: Integrating Service Learning into a Graduate Business Ethics Course

    Science.gov (United States)

    O'Brien, Kevin; Wittmer, Dennis; Ebrahimi, Bahman Paul

    2017-01-01

    Adopting a broad definition that distinguishes behavioral ethics as science and behavioral ethics in practice, we describe how service learning can be a meaningful component of a four-credit, one-quarter graduate business ethics course by blending both normative/prescriptive and behavioral/descriptive ethics. We provide a conceptual and…

  11. Effects of Locus of Control on Behavioral Intention and Learning Performance of Energy Knowledge in Game-Based Learning

    Science.gov (United States)

    Yang, Jie Chi; Lin, Yi Lung; Liu, Yi-Chun

    2017-01-01

    Game-based learning has been gradually adopted in energy education as an effective learning tool because digital games have the potential to increase energy literacy and encourage behavior change. However, not every learner can benefit from this support. There is a need to examine how human factors affect learners' reactions to digital games for…

  12. An Adolescent Nutrition Learning Model to Facilitate Behavior Change in Overweight Teens

    Science.gov (United States)

    Young, Kimberly J.; Ramsay, Samantha A.; Holyoke, Laura B.

    2016-01-01

    Understanding the process by which adolescents learn about nutrition is necessary for developing tailored education that leads to sustainable behavior change. Teens aged 15-17 participating in an obesity prevention program were interviewed. From the data, three themes emerged and informed development of an adolescent nutrition learning model. The…

  13. Effects of short-term training on behavioral learning and skill acquisition during intraoral fine motor task

    DEFF Research Database (Denmark)

    Kumar, Abhishek; Grigoriadis, Joannis; Trulsson, Mats

    2015-01-01

    Sensory information from the orofacial mechanoreceptors are used by the nervous system to optimize the positioning of food, determine the force levels, and force vectors involved in biting of food morsels. Moreover, practice resulting from repetition could be a key to learning and acquiring a motor...... movements. Thirty healthy volunteers were asked to intraorally manipulate and split a chocolate candy, into two equal halves. The participants performed three series (with ten 10 trials) of the task before and after a short-term (approximately 30min) training. The accuracy of the split and vertical jaw...... task induces behavior learning, skill acquisition and optimization of jaw movements in terms of better performance and reduction in the duration of jaw movements, during the task. The finding of the present study provides insights on into how humans learn oral motor behaviors or the kind of adaptation...

  14. Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns

    DEFF Research Database (Denmark)

    Johansen, Benjamin; Petersen, Michael Kai; Pontoppidan, Niels Henrik

    2017-01-01

    users to remotely enhance auditory focus and attenuate background noise to improve speech intelligibility. N=5, participants changed program settings and adjusted volume on their hearing instruments using their smartphones. We found that individual behavioral patterns affected the usage of the devices....... A significant difference between program usage, and weekdays versus weekends, were found. Users not only changed programs to modify aspects of directionality and noise reduction, but also continuously adjusted the volume. Rethinking hearing instruments as devices that adaptively learn behavioral patterns based...

  15. Influence of course characteristics, student characteristics, and behavior in learning management systems on student performance

    OpenAIRE

    Conijn, Rianne; Kleingeld, Ad; Matzat, Uwe; Snijders, Chris; van Zaanen, Menno

    2016-01-01

    The use of learning management systems (LMS) in education make it possible to track students’ online behavior. This data can be used for educational data mining and learning analytics, for example, by predicting student performance. Although LMS data might contain useful predictors, course characteristics and student characteristics have shown to influence student performance as well. However, these different sets of features are rarely combined or compared. Therefore, in the current study we...

  16. Health education and multimedia learning: educational psychology and health behavior theory (Part 1).

    Science.gov (United States)

    Mas, Francisco G Soto; Plass, Jan; Kane, William M; Papenfuss, Richard L

    2003-07-01

    When health education researchers began to investigate how individuals make decisions related to health and the factors that influence health behaviors, they referred to frameworks shared by educational and learning research. Health education adopted the basic principles of the cognitive revolution, which were instrumental in advancing the field. There is currently a new challenge to confront: the widespread use of new technologies for health education. To better overcome this challenge, educational psychology and instructional technology theory should be considered. Unfortunately, the passion to incorporate new technologies too often overshadows how people learn or, in particular, how people learn through computer technologies. This two-part article explains how educational theory contributed to the early development of health behavior theory, describes the most relevant multimedia learning theories and constructs, and provides recommendations for developing multimedia health education programs and connecting theory and practice.

  17. Teachers' Beliefs, Instructional Behaviors, and Students' Engagement in Learning from Texts with Instructional Pictures

    Science.gov (United States)

    Schroeder, Sascha; Richter, Tobias; McElvany, Nele; Hachfeld, Axinja; Baumert, Jurgen; Schnotz, Wolfgang; Horz, Holger; Ullrich, Mark

    2011-01-01

    This study investigated the relations between teachers' pedagogical beliefs and students' self-reported engagement in learning from texts with instructional pictures. Participants were the biology, geography, and German teachers of 46 classes (Grades 5-8) and their students. Teachers' instructional behaviors and students' engagement in learning…

  18. INCORPORATING THE BEHAVIORAL DIMENSION IN DESIGNING INCLUSIVE LEARNING ENVIRONMENT FOR AUTISM

    Directory of Open Access Journals (Sweden)

    Rachna Khare

    2009-11-01

    Full Text Available In last two decades environment and behavior studies has profoundly influenced the practice of architecture and there is growing trend towards people-centered and evidence-based design. The field has tremendous application in designing for special needs; most of the researches on designing for special groups, accessibility codes and design guidelines are based on the functional needs of the users, necessity to explore potential of behavioral aspects to design for people with cognitive limitations is felt though. In the present research, the systematic study of behavioral features in autism has provided a wealth of understanding that is applied to the process of design. There are several stages to this research project, in initial stage, learning behaviors of children, their strength and weakness in educational spaces helped in defining ‘enabling environment’ for autism, which is tested in the subsequent stages to provide evidence based body of knowledge that is expected to help architects and designers to design autism friendly inclusive educational spaces. The purpose of this paper is to present the enabling aspects of educational environment for children with autism and measure their affects on functional performance.

  19. A new data-mining method to search for behavioral properties that induce alignment and their involvement in social learning in medaka fish (Oryzias latipes.

    Directory of Open Access Journals (Sweden)

    Takashi Ochiai

    Full Text Available BACKGROUND: Coordinated movement in social animal groups via social learning facilitates foraging activity. Few studies have examined the behavioral cause-and-effect between group members that mediates this social learning. METHODOLOGY/PRINCIPAL FINDINGS: We first established a behavioral paradigm for visual food learning using medaka fish and demonstrated that a single fish can learn to associate a visual cue with a food reward. Grouped medaka fish (6 fish learn to respond to the visual cue more rapidly than a single fish, indicating that medaka fish undergo social learning. We then established a data-mining method based on Kullback-Leibler divergence (KLD to search for candidate behaviors that induce alignment and found that high-speed movement of a focal fish tended to induce alignment of the other members locally and transiently under free-swimming conditions without presentation of a visual cue. The high-speed movement of the informed and trained fish during visual cue presentation appeared to facilitate the alignment of naïve fish in response to some visual cues, thereby mediating social learning. Compared with naïve fish, the informed fish had a higher tendency to induce alignment of other naïve fish under free-swimming conditions without visual cue presentation, suggesting the involvement of individual recognition in social learning. CONCLUSIONS/SIGNIFICANCE: Behavioral cause-and-effect studies of the high-speed movement between fish group members will contribute to our understanding of the dynamics of social behaviors. The data-mining method used in the present study is a powerful method to search for candidates factors associated with inter-individual interactions using a dataset for time-series coordinate data of individuals.

  20. Self-Regulation of Practice Behavior Among Elite Youth Soccer Players : An Exploratory Observation Study

    NARCIS (Netherlands)

    Toering, Tynke; Elferink-Gemser, Marije; Jordet, Geir; Jorna, Casper; Pepping, Gert-Jan; Visscher, Chris

    2011-01-01

    This study aimed to measure behavioral correlates of self-regulation in elite youth soccer players. Behaviors regarded as indicative of self-regulated learning were identified by interviewing six expert youth soccer coaches. These behaviors were observed during practice of eight elite youth soccer

  1. Better learning through instructional science: a health literacy case study in "how to teach so learners can learn".

    Science.gov (United States)

    Freedman, Ariela M; Echt, Katharina V; Cooper, Hannah L F; Miner, Kathleen R; Parker, Ruth

    2012-09-01

    Health education and behavior change interventions typically pay little attention to the intervention's instructional foundation. Combining the fields of health literacy, cognitive psychology, and adult learning theory, this article provides an integrative scientific approach, called the BEAN (Better Education and iNnovation) model, to creating an instructional foundation based on how individuals acquire knowledge and skills. The article uses a case study example from an adult literacy center's health literacy class to explore how environmental factors and instructional strategies can be applied to health education and behavior change interventions. Data for this case study were derived through 20 hours of classroom observation and qualitative interviews with 21 adult education students and 3 instructors. Results provide practical examples of environmental factors and instructional strategies designed to facilitate learning, such as fostering autonomy, activating prior knowledge, and fostering perspective change. Results also describe the resulting health behavior changes of students attending the health literacy class, such as increased medication adherence and physical activity, improved nutritional habits, and increased question asking of health practitioners. This article serves as a first step to encouraging researchers and educators to consider the importance of drawing on cognitive psychology and theories of adult learning to create a scientifically based instructional foundation for health behavior change programs. Additionally, by drawing on the expertise of adult educators well versed in the science of instructional design, this article also demonstrates that the adult education classroom is an excellent setting for conducting health education and behavior change interventions.

  2. Effect of behavior training on learning and memory of young rats with fetal growth restriction

    Institute of Scientific and Technical Information of China (English)

    Li Xuelan; Gou Wenli; Huang Pu; Li Chunfang; Sun Yunping

    2008-01-01

    Objective: To investigate the effect of behavior training on the learning and memory of young rats with fetal growth restriction (FGR). Methods: The model of FGR was established by passive smoking method to pregnant rats.The new-born rats were divided into FGR group and normal group, and then randomly subdivided into trained and untrained group respectively. Morris water maze behavior training was performed on postnatal months 2 and 4, then learning and memory abilities of young rats were measured by dark-avoidance testing and step-down testing. Results: In the dark-avoidance and step-down testing, the young rats' performance of FGR group was worse than that of control group, and the trained group was better than the untrained group significantly. Conclusion: FGR young rats have descended learning and memory abilities. Behavior training could improve the young rats' learning and memory abilities, especially for the FGR young rats.

  3. Applicability of the theory of planned behavior in explaining the general practitioners eLearning use in continuing medical education.

    Science.gov (United States)

    Hadadgar, Arash; Changiz, Tahereh; Masiello, Italo; Dehghani, Zahra; Mirshahzadeh, Nahidossadat; Zary, Nabil

    2016-08-22

    General practitioners (GP) update their knowledge and skills by participating in continuing medical education (CME) programs either in a traditional or an e-Learning format. GPs' beliefs about electronic format of CME have been studied but without an explicit theoretical framework which makes the findings difficult to interpret. In other health disciplines, researchers used theory of planned behavior (TPB) to predict user's behavior. In this study, an instrument was developed to investigate GPs' intention to use e-Learning in CME based on TPB. The goodness of fit of TPB was measured using confirmatory factor analysis and the relationship between latent variables was assessed using structural equation modeling. A total of 148 GPs participated in the study. Most of the items in the questionnaire related well to the TPB theoretical constructs, and the model had good fitness. The perceived behavioral control and attitudinal constructs were included, and the subjective norms construct was excluded from the structural model. The developed questionnaire could explain 66 % of the GPs' intention variance. The TPB could be used as a model to construct instruments that investigate GPs' intention to participate in e-Learning programs in CME. The findings from the study will encourage CME managers and researchers to explore the developed instrument as a mean to explain and improve the GPs' intentions to use eLearning in CME.

  4. Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution

    Science.gov (United States)

    Kinnebrew, John S.; Biswas, Gautam

    2012-01-01

    Our learning-by-teaching environment, Betty's Brain, captures a wealth of data on students' learning interactions as they teach a virtual agent. This paper extends an exploratory data mining methodology for assessing and comparing students' learning behaviors from these interaction traces. The core algorithm employs sequence mining techniques to…

  5. The sustainability of improvements from continuing professional development in pharmacy practice and learning behaviors.

    Science.gov (United States)

    McConnell, Karen J; Delate, Thomas; Newlon, Carey L

    2015-04-25

    To assess the long-term sustainability of continuing professional development (CPD) training in pharmacy practice and learning behaviors. This was a 3-year posttrial survey of pharmacists who had participated in an unblinded randomized controlled trial of CPD. The online survey assessed participants' perceptions of pharmacy practice, learning behaviors, and sustainability of CPD. Differences between groups on the posttrial survey responses and changes from the trial's follow-up survey to the posttrial survey responses within the intervention group were compared. Of the 91 pharmacists who completed the original trial, 72 (79%) participated in the sustainability survey. Compared to control participants, a higher percentage of intervention participants reported in the sustainability survey that they had utilized the CPD concept (45.7% vs 8.1%) and identified personal learning objectives (68.6% vs 43.2%) during the previous year. Compared to their follow-up survey responses, lower percentages of intervention participants reported identifying personal learning objectives (94.3% vs 68.6%), documenting their learning plan (82.9% vs 22.9%) and participating in learning by doing (42.9% vs 14.3%) in the sustainability survey. In the intervention group, many of the improvements to pharmacy practice items were sustained over the 3-year period but were not significantly different from the control group. Sustainability of a CPD intervention over a 3-year varied. While CPD-trained pharmacists reported utilizing CPD concepts at a higher rate than control pharmacists, their CPD learning behaviors diminished over time.

  6. Student and Teacher Perceptions of Teacher Immediacy Behaviors and the Influence of Teacher Immediacy Behaviors on Student Motivation to Learn Science

    Science.gov (United States)

    Littlejohn, Vania

    The National Assessment on Educational Progress signals that American students are not being adequately prepared to compete globally in an ever changing scientific society. As a result, legislation mandated that all students be assessed and show proficiency in scientific literacy beginning in Grade 4 with the reauthorization of the Elementary and Secondary Education Act of 2002 also known as No Child Left Behind. Research indicates a disturbing decline in the number of U.S. students pursuing more rigorous science courses in high school, majoring in scientific areas in college, and choosing future careers in science. With a need to improve science instruction and enhance science literacy for all students, this study focuses on immediate communication behaviors of the classroom teacher as a deciding factor in the opinions of high school students towards science. The purpose of this study was to reveal high school science student perceptions of teacher communication patterns, both verbal and nonverbal, and how they influence their motivation to learn science. The researcher utilized a nonexperimental, quantitative research design to guide this study. Teacher and student data were collected using the Teacher Communication Behavior Questionnaire (TCBQ). The Student Motivation to Learn Instrument (SMLI) across gender, ethnicity, and socioeconomic status survey was used to evaluate student motivation in science. Participants were encouraged to be honest in reporting and sharing information concerning teacher communication behaviors. The data revealed that teacher immediacy behaviors, both verbal and nonverbal, were perceived differently in terms of student gender, ethnicity, and socioeconomic class. The results showed that teachers who display positive communication behaviors and use challenging questioning followed with positive responses create pathways to potentially powerful relationships. These relationships between teachers and students can lead to increased student

  7. Explain the Behavior Intention to Use e-Learning Technologies: A Unified Theory of Acceptance and Use of Technology Perspective

    Science.gov (United States)

    Shaqrah, Amin A.

    2015-01-01

    The purpose of this study is to explain the behavior intention to use e-learning technologies. In order to achieve a better view and validate the study, researcher attempts to give details of how technology acceptance models help Jordanian trainees firms in accepting e-learning technology, and how if applied will result more attention to usage…

  8. Probability Learning: Changes in Behavior across Time and Development

    Science.gov (United States)

    Plate, Rista C.; Fulvio, Jacqueline M.; Shutts, Kristin; Green, C. Shawn; Pollak, Seth D.

    2018-01-01

    Individuals track probabilities, such as associations between events in their environments, but less is known about the degree to which experience--within a learning session and over development--influences people's use of incoming probabilistic information to guide behavior in real time. In two experiments, children (4-11 years) and adults…

  9. Large-scale assessment of olfactory preferences and learning in Drosophila melanogaster: behavioral and genetic components

    Directory of Open Access Journals (Sweden)

    Elisabetta Versace

    2015-09-01

    Full Text Available In the Evolve and Resequence method (E&R, experimental evolution and genomics are combined to investigate evolutionary dynamics and the genotype-phenotype link. As other genomic approaches, this methods requires many replicates with large population sizes, which imposes severe restrictions on the analysis of behavioral phenotypes. Aiming to use E&R for investigating the evolution of behavior in Drosophila, we have developed a simple and effective method to assess spontaneous olfactory preferences and learning in large samples of fruit flies using a T-maze. We tested this procedure on (a a large wild-caught population and (b 11 isofemale lines of Drosophila melanogaster. Compared to previous methods, this procedure reduces the environmental noise and allows for the analysis of large population samples. Consistent with previous results, we show that flies have a preference for orange vs. apple odor. With our procedure wild-derived flies exhibit olfactory learning in the absence of previous laboratory selection. Furthermore, we find genetic differences in the olfactory learning with relatively high heritability. We propose this large-scale method as an effective tool for E&R and genome-wide association studies on olfactory preferences and learning.

  10. Chaotic exploration and learning of locomotion behaviors.

    Science.gov (United States)

    Shim, Yoonsik; Husbands, Phil

    2012-08-01

    We present a general and fully dynamic neural system, which exploits intrinsic chaotic dynamics, for the real-time goal-directed exploration and learning of the possible locomotion patterns of an articulated robot of an arbitrary morphology in an unknown environment. The controller is modeled as a network of neural oscillators that are initially coupled only through physical embodiment, and goal-directed exploration of coordinated motor patterns is achieved by chaotic search using adaptive bifurcation. The phase space of the indirectly coupled neural-body-environment system contains multiple transient or permanent self-organized dynamics, each of which is a candidate for a locomotion behavior. The adaptive bifurcation enables the system orbit to wander through various phase-coordinated states, using its intrinsic chaotic dynamics as a driving force, and stabilizes on to one of the states matching the given goal criteria. In order to improve the sustainability of useful transient patterns, sensory homeostasis has been introduced, which results in an increased diversity of motor outputs, thus achieving multiscale exploration. A rhythmic pattern discovered by this process is memorized and sustained by changing the wiring between initially disconnected oscillators using an adaptive synchronization method. Our results show that the novel neurorobotic system is able to create and learn multiple locomotion behaviors for a wide range of body configurations and physical environments and can readapt in realtime after sustaining damage.

  11. Effects of pre-conditioning on behavior and physiology of horses during a standardised learning task.

    Directory of Open Access Journals (Sweden)

    Kate Fenner

    Full Text Available Rein tension is used to apply pressure to control both ridden and unridden horses. The pressure is delivered by equipment such as the bit, which may restrict voluntary movement and cause changes in behavior and physiology. Managing the effects of such pressure on arousal level and behavioral indicators will optimise horse learning outcomes. This study examined the effect of training horses to turn away from bit pressure on cardiac outcomes and behavior (including responsiveness over the course of eight trials in a standardised learning task. The experimental procedure consisted of a resting phase, treatment/control phase, standardised learning trials requiring the horses (n = 68 to step backwards in response to bit pressure and a recovery phase. As expected, heart rate increased (P = 0.028 when the handler applied rein tension during the treatment phase. The amount of rein tension required to elicit a response during treatment was higher on the left than the right rein (P = 0.009. Total rein tension required for trials reduced (P < 0.001 as they progressed, as did time taken (P < 0.001 and steps taken (P < 0.001. The incidence of head tossing decreased (P = 0.015 with the progression of the trials and was higher (P = 0.018 for the control horses than the treated horses. These results suggest that preparing the horses for the lesson and slightly raising their arousal levels, improved learning outcomes.

  12. High-Throughput Automatic Training System for Odor-Based Learned Behaviors in Head-Fixed Mice

    Directory of Open Access Journals (Sweden)

    Zhe Han

    2018-02-01

    Full Text Available Understanding neuronal mechanisms of learned behaviors requires efficient behavioral assays. We designed a high-throughput automatic training system (HATS for olfactory behaviors in head-fixed mice. The hardware and software were constructed to enable automatic training with minimal human intervention. The integrated system was composed of customized 3D-printing supporting components, an odor-delivery unit with fast response, Arduino based hardware-controlling and data-acquisition unit. Furthermore, the customized software was designed to enable automatic training in all training phases, including lick-teaching, shaping and learning. Using HATS, we trained mice to perform delayed non-match to sample (DNMS, delayed paired association (DPA, Go/No-go (GNG, and GNG reversal tasks. These tasks probed cognitive functions including sensory discrimination, working memory, decision making and cognitive flexibility. Mice reached stable levels of performance within several days in the tasks. HATS enabled an experimenter to train eight mice simultaneously, therefore greatly enhanced the experimental efficiency. Combined with causal perturbation and activity recording techniques, HATS can greatly facilitate our understanding of the neural-circuitry mechanisms underlying learned behaviors.

  13. Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis.

    Science.gov (United States)

    Isupova, Olga; Kuzin, Danil; Mihaylova, Lyudmila

    2017-09-27

    Semisupervised and unsupervised systems provide operators with invaluable support and can tremendously reduce the operators' load. In the light of the necessity to process large volumes of video data and provide autonomous decisions, this paper proposes new learning algorithms for activity analysis in video. The activities and behaviors are described by a dynamic topic model. Two novel learning algorithms based on the expectation maximization approach and variational Bayes inference are proposed. Theoretical derivations of the posterior estimates of model parameters are given. The designed learning algorithms are compared with the Gibbs sampling inference scheme introduced earlier in the literature. A detailed comparison of the learning algorithms is presented on real video data. We also propose an anomaly localization procedure, elegantly embedded in the topic modeling framework. It is shown that the developed learning algorithms can achieve 95% success rate. The proposed framework can be applied to a number of areas, including transportation systems, security, and surveillance.

  14. Predicting Pilot Behavior in Medium Scale Scenarios Using Game Theory and Reinforcement Learning

    Science.gov (United States)

    Yildiz, Yildiray; Agogino, Adrian; Brat, Guillaume

    2013-01-01

    Effective automation is critical in achieving the capacity and safety goals of the Next Generation Air Traffic System. Unfortunately creating integration and validation tools for such automation is difficult as the interactions between automation and their human counterparts is complex and unpredictable. This validation becomes even more difficult as we integrate wide-reaching technologies that affect the behavior of different decision makers in the system such as pilots, controllers and airlines. While overt short-term behavior changes can be explicitly modeled with traditional agent modeling systems, subtle behavior changes caused by the integration of new technologies may snowball into larger problems and be very hard to detect. To overcome these obstacles, we show how integration of new technologies can be validated by learning behavior models based on goals. In this framework, human participants are not modeled explicitly. Instead, their goals are modeled and through reinforcement learning their actions are predicted. The main advantage to this approach is that modeling is done within the context of the entire system allowing for accurate modeling of all participants as they interact as a whole. In addition such an approach allows for efficient trade studies and feasibility testing on a wide range of automation scenarios. The goal of this paper is to test that such an approach is feasible. To do this we implement this approach using a simple discrete-state learning system on a scenario where 50 aircraft need to self-navigate using Automatic Dependent Surveillance-Broadcast (ADS-B) information. In this scenario, we show how the approach can be used to predict the ability of pilots to adequately balance aircraft separation and fly efficient paths. We present results with several levels of complexity and airspace congestion.

  15. A fully automated Drosophila olfactory classical conditioning and testing system for behavioral learning and memory assessment.

    Science.gov (United States)

    Jiang, Hui; Hanna, Eriny; Gatto, Cheryl L; Page, Terry L; Bhuva, Bharat; Broadie, Kendal

    2016-03-01

    Aversive olfactory classical conditioning has been the standard method to assess Drosophila learning and memory behavior for decades, yet training and testing are conducted manually under exceedingly labor-intensive conditions. To overcome this severe limitation, a fully automated, inexpensive system has been developed, which allows accurate and efficient Pavlovian associative learning/memory analyses for high-throughput pharmacological and genetic studies. The automated system employs a linear actuator coupled to an odorant T-maze with airflow-mediated transfer of animals between training and testing stages. Odorant, airflow and electrical shock delivery are automatically administered and monitored during training trials. Control software allows operator-input variables to define parameters of Drosophila learning, short-term memory and long-term memory assays. The approach allows accurate learning/memory determinations with operational fail-safes. Automated learning indices (immediately post-training) and memory indices (after 24h) are comparable to traditional manual experiments, while minimizing experimenter involvement. The automated system provides vast improvements over labor-intensive manual approaches with no experimenter involvement required during either training or testing phases. It provides quality control tracking of airflow rates, odorant delivery and electrical shock treatments, and an expanded platform for high-throughput studies of combinational drug tests and genetic screens. The design uses inexpensive hardware and software for a total cost of ∼$500US, making it affordable to a wide range of investigators. This study demonstrates the design, construction and testing of a fully automated Drosophila olfactory classical association apparatus to provide low-labor, high-fidelity, quality-monitored, high-throughput and inexpensive learning and memory behavioral assays. Copyright © 2015 Elsevier B.V. All rights reserved.

  16. Attributional processes in the learned helplessness paradigm: behavioral effects of global attributions.

    Science.gov (United States)

    Mikulincer, M

    1986-12-01

    Following the learned helplessness paradigm, I assessed in this study the effects of global and specific attributions for failure on the generalization of performance deficits in a dissimilar situation. Helplessness training consisted of experience with noncontingent failures on four cognitive discrimination problems attributed to either global or specific causes. Experiment 1 found that performance in a dissimilar situation was impaired following exposure to globally attributed failure. Experiment 2 examined the behavioral effects of the interaction between stable and global attributions of failure. Exposure to unsolvable problems resulted in reduced performance in a dissimilar situation only when failure was attributed to global and stable causes. Finally, Experiment 3 found that learned helplessness deficits were a product of the interaction of global and internal attribution. Performance deficits following unsolvable problems were recorded when failure was attributed to global and internal causes. Results were discussed in terms of the reformulated learned helplessness model.

  17. Can a tablet device alter undergraduate science students' study behavior and use of technology?

    Science.gov (United States)

    Morris, Neil P; Ramsay, Luke; Chauhan, Vikesh

    2012-06-01

    This article reports findings from a study investigating undergraduate biological sciences students' use of technology and computer devices for learning and the effect of providing students with a tablet device. A controlled study was conducted to collect quantitative and qualitative data on the impact of a tablet device on students' use of devices and technology for learning. Overall, we found that students made extensive use of the tablet device for learning, using it in preference to laptop computers to retrieve information, record lectures, and access learning resources. In line with other studies, we found that undergraduate students only use familiar Web 2.0 technologies and that the tablet device did not alter this behavior for the majority of tools. We conclude that undergraduate science students can make extensive use of a tablet device to enhance their learning opportunities without institutions changing their teaching methods or computer systems, but that institutional intervention may be needed to drive changes in student behavior toward the use of novel Web 2.0 technologies.

  18. Language Learning Enhanced by Massive Multiple Online Role-Playing Games (MMORPGs) and the Underlying Behavioral and Neural Mechanisms

    OpenAIRE

    Zhang, Yongjun; Song, Hongwen; Liu, Xiaoming; Tang, Dinghong; Chen, Yue-e; Zhang, Xiaochu

    2017-01-01

    Massive Multiple Online Role-Playing Games (MMORPGs) have increased in popularity among children, juveniles, and adults since MMORPGs’ appearance in this digital age. MMORPGs can be applied to enhancing language learning, which is drawing researchers’ attention from different fields and many studies have validated MMORPGs’ positive effect on language learning. However, there are few studies on the underlying behavioral or neural mechanism of such effect. This paper reviews the educational app...

  19. Working Memory and Reinforcement Schedule Jointly Determine Reinforcement Learning in Children: Potential Implications for Behavioral Parent Training

    Directory of Open Access Journals (Sweden)

    Elien Segers

    2018-03-01

    Full Text Available Introduction: Behavioral Parent Training (BPT is often provided for childhood psychiatric disorders. These disorders have been shown to be associated with working memory impairments. BPT is based on operant learning principles, yet how operant principles shape behavior (through the partial reinforcement (PRF extinction effect, i.e., greater resistance to extinction that is created when behavior is reinforced partially rather than continuously and the potential role of working memory therein is scarcely studied in children. This study explored the PRF extinction effect and the role of working memory therein using experimental tasks in typically developing children.Methods: Ninety-seven children (age 6–10 completed a working memory task and an operant learning task, in which children acquired a response-sequence rule under either continuous or PRF (120 trials, followed by an extinction phase (80 trials. Data of 88 children were used for analysis.Results: The PRF extinction effect was confirmed: We observed slower acquisition and extinction in the PRF condition as compared to the continuous reinforcement (CRF condition. Working memory was negatively related to acquisition but not extinction performance.Conclusion: Both reinforcement contingencies and working memory relate to acquisition performance. Potential implications for BPT are that decreasing working memory load may enhance the chance of optimally learning through reinforcement.

  20. Abnormal Gait Behavior Detection for Elderly Based on Enhanced Wigner-Ville Analysis and Cloud Incremental SVM Learning

    Directory of Open Access Journals (Sweden)

    Jian Luo

    2016-01-01

    Full Text Available A cloud based health care system is proposed in this paper for the elderly by providing abnormal gait behavior detection, classification, online diagnosis, and remote aid service. Intelligent mobile terminals with triaxial acceleration sensor embedded are used to capture the movement and ambulation information of elderly. The collected signals are first enhanced by a Kalman filter. And the magnitude of signal vector features is then extracted and decomposed into a linear combination of enhanced Gabor atoms. The Wigner-Ville analysis method is introduced and the problem is studied by joint time-frequency analysis. In order to solve the large-scale abnormal behavior data lacking problem in training process, a cloud based incremental SVM (CI-SVM learning method is proposed. The original abnormal behavior data are first used to get the initial SVM classifier. And the larger abnormal behavior data of elderly collected by mobile devices are then gathered in cloud platform to conduct incremental training and get the new SVM classifier. By the CI-SVM learning method, the knowledge of SVM classifier could be accumulated due to the dynamic incremental learning. Experimental results demonstrate that the proposed method is feasible and can be applied to aged care, emergency aid, and related fields.

  1. An Investigation of the Outcomes of PGY Students' Cognition of and Persistent Behavior in Learning through the Intervention of the Flipped Classroom in Taiwan.

    Directory of Open Access Journals (Sweden)

    Sheng-Der Hsu

    Full Text Available The Postgraduate Year (PGY Program allows doctors-in-training to learn about the diagnosis, treatment and nursing of various common, general diseases. These items form the core curriculum and are mostly learned through caring for patients and clinical teaching. Doctors-in-training are evaluated for their knowledge through written tests or assignments, based on which the effectiveness of their training is also assessed; however, this generally produces a negative learning attitude among them. So we introduced the flipped classroom into PGY training program to change PGY students' learning behavior. Although the flipped classroom is highly valued and has been practiced by teachers in schools of various levels, very few attempts have been made until now to report the learning outcomes achieved through the flipped classroom by means of rigorous research methods. Therefore we tried to employed Ajzen and Fishbein's (1980 theory of reasoned action and Bandura's self-efficacy to predict and explain the participants' behavioral intention when participating in the core curriculum learning of the flipped classroom and to assess the change in students' learning behavior and learning effectiveness. From August 2013 to July 2014, 39 PGY students from the General Surgery of the Tri-Service General Hospital were selected as the participants of this study. The control group included 43 students of the previous year, that is, the year before the intervention of the flipped classroom. A comparative analysis was performed. The questionnaire's related matrices indicated highest correlation between self-efficacy and behavioral intention (r = 0.491, P < 0.01, followed by attitude (r = 0.365, P < 0.01 and subjective norms (r = 0.360, P < 0.01. All three showed positive correlations with behavioral intention; among attitude, subjective norms, and self-efficacy, the pairwise correlations also reached significance level. The flipped classroom can indeed change PGY

  2. Low-Back Pain Patients Learn to Adapt Motor Behavior with Adverse Secondary Consequences

    NARCIS (Netherlands)

    van Dieën, Jaap H.; Flor, Herta; Hodges, Paul W.

    2017-01-01

    ABSTRACT: We hypothesize that changes in motor behavior in individuals with low-back pain are adaptations aimed at minimizing the real or perceived risk of further pain. Through reinforcement learning, pain and subsequent adaptions result in less dynamic motor behavior, leading to increased loading

  3. The Learning of Grammar: An Experimental Study. Experimental Studies on the Learning of Language, Progress Report II, Revised.

    Science.gov (United States)

    Torrey, Jane W.

    An experiment in language behavior comparing two methods of learning grammatical word order in a new language presents scientific evidence supporting the use of pattern drills in foreign language teaching. The experiment reviews the performance of three groups attempting to learn small segments of Russian "microlanguage": (1) a drill group learned…

  4. Modeling individuals’ cognitive and affective responses in spatial learning behavior

    NARCIS (Netherlands)

    Han, Q.; Arentze, T.A.; Timmermans, H.J.P.; Janssens, D.; Wets, G.; Lo, H.P.; Leung, Stephen C.H.; Tan, Susanna M.L.

    2008-01-01

    Activity-based analysis has slowly shifted gear from analysis of daily activity patterns to analysis and modeling of dynamic activity-travel patterns. In this paper, we describe a dynamic model that is concerned with simulating cognitive and affective responses in spatial learning behavior for a

  5. An Investigation of Social Behaviors of Primary School Children in Terms of Their Grade, Learning Disability and Intelligence Potential

    Science.gov (United States)

    Yukay Yuksel, Muge

    2013-01-01

    In this study, to what extent 7-9-year old primary school children's' social behaviors at school vary depending on their grade, gender and learning disability was investigated. In addition, the predictive value of the intelligence scores of children with normal development and with learning disability was explored for their negative and positive…

  6. Affective mechanisms linking dysfunctional behavior to performance in work teams : a moderated mediation study

    NARCIS (Netherlands)

    Cole, M.S.; Walter, F.; Bruch, H.

    The present study examines the association between dysfunctional learn behavior and team performance. Data included measures of teams' dysfunctional behavior and negative affective tone as well as supervisors' ratings of teams' (nonverbal) negative emotional expressivity and performance. Utilizing a

  7. Applying Learning Analytics to Explore the Effects of Motivation on Online Students' Reading Behavioral Patterns

    Science.gov (United States)

    Sun, Jerry Chih-Yuan; Lin, Che-Tsun; Chou, Chien

    2018-01-01

    This study aims to apply a sequential analysis to explore the effect of learning motivation on online reading behavioral patterns. The study's participants consisted of 160 graduate students who were classified into three group types: low reading duration with low motivation, low reading duration with high motivation, and high reading duration…

  8. An Investigation of the Outcomes of PGY Students' Cognition of and Persistent Behavior in Learning through the Intervention of the Flipped Classroom in Taiwan.

    Science.gov (United States)

    Hsu, Sheng-Der; Chen, Cheng-Jueng; Chang, Wei-Kuo; Hu, Yih-Jin

    2016-01-01

    The Postgraduate Year (PGY) Program allows doctors-in-training to learn about the diagnosis, treatment and nursing of various common, general diseases. These items form the core curriculum and are mostly learned through caring for patients and clinical teaching. Doctors-in-training are evaluated for their knowledge through written tests or assignments, based on which the effectiveness of their training is also assessed; however, this generally produces a negative learning attitude among them. So we introduced the flipped classroom into PGY training program to change PGY students' learning behavior. Although the flipped classroom is highly valued and has been practiced by teachers in schools of various levels, very few attempts have been made until now to report the learning outcomes achieved through the flipped classroom by means of rigorous research methods. Therefore we tried to employed Ajzen and Fishbein's (1980) theory of reasoned action and Bandura's self-efficacy to predict and explain the participants' behavioral intention when participating in the core curriculum learning of the flipped classroom and to assess the change in students' learning behavior and learning effectiveness. From August 2013 to July 2014, 39 PGY students from the General Surgery of the Tri-Service General Hospital were selected as the participants of this study. The control group included 43 students of the previous year, that is, the year before the intervention of the flipped classroom. A comparative analysis was performed. The questionnaire's related matrices indicated highest correlation between self-efficacy and behavioral intention (r = 0.491, P flipped classroom can indeed change PGY students' the learning behavior from "passive learning" to "active learning."

  9. THE IMPACT OF VISIONARY LEADERSHIP, LEARNING ORGANIZATION AND INNOVATIVE BEHAVIOR TO PERFORMANCE OF CUSTOMS AND EXCISE FUNCTIONAL

    Directory of Open Access Journals (Sweden)

    Muhammad Anshar

    2017-12-01

    Full Text Available This research aims to determine the impact of visionary leadership, learning organization, and innovative behavior on the performance of Functional Officers of Customs and Excise Inspectors at Tanjung Priok Customs and Excise Main Service Office. The research was conducted at Tanjung Priok Customs and Excise Service Office using the number of samples of 78 Functional Officers of Customs and Excise Inspectors. The sample was selected using simple random sampling technique. Data collection was done by using questionnaire and data analysis using path analysis. The results showed that 1 visionary leadership, learning organization and innovative behavior have a direct and positive impact on performance, 2 visionary leadership, and learning organization have a direct and positive impact on innovative behavior and 3 visionary leadership have a direct and positive impact on learning organization. The conclusion of this research is to improve the performance of Functional Officer of Customs and Excise Inspectors at TanjungPriok Customs and Excise Main Service Office, it is necessary to increase the aspect of visionary leadership from Head of Main Service Office, learning organization at Main Service Office and innovative behavior at Functional Officers of Customs and Excise Inspectors.

  10. What Teachers Think about Self-Regulated Learning: Investigating Teacher Beliefs and Teacher Behavior of Enhancing Students’ Self-Regulation

    Directory of Open Access Journals (Sweden)

    Charlotte Dignath-van Ewijk

    2012-01-01

    Full Text Available In order to foster self-regulated learning (SRL, teachers should provide students with learning strategies, as well as with constructivist learning environments that allow them to self-regulate their learning. These two components complement each other. When investigating teachers’ promotion of SRL, not only teacher behavior, but also teachers’ beliefs as well as their knowledge about SRL are relevant aspects to consider. Therefore, this study seeks to examine teachers’ knowledge and beliefs on promoting SRL, as well as their predictive value on teachers’ promotion of SRL in the classroom. Forty-seven primary school teachers completed questionnaires on knowledge and beliefs towards both components of the promotion of SRL: strategy instruction and a constructivist learning environment. In addition, teachers had to answer open-ended questions on their understanding of SRL, as well as their implementation of SRL in their classroom. The results show that teachers are more positive towards constructivist than towards SRL (teacher beliefs, and most teachers mentioned characteristics of constructivist learning environments, while only few teachers addressed strategy instruction when being asked about their understanding of SRL (teacher knowledge. Moreover, teacher beliefs are the only predictor for teacher behavior. The results indicate how teacher education could support teachers to learn how to promote SRL effectively.

  11. Mathematic anxiety, help seeking behavior and cooperative learning

    OpenAIRE

    Masoud Gholamali Lavasani; Farah Khandan

    2011-01-01

    Present project assess the effectiveness of cooperative learning over the mathematic anxiety and review the behavior of help seeking in first grade high school girl students. The experimental research procedure was in the form of pre-post tests after a period of 8 sessions of teaching. To measure the variables, the questionnaire of mathematic anxiety (Shokrani, 2002) and the questionnaire of help seeking technique (Ghadampour, 1998) were practiced (accepting or avoiding help seeking).To perfo...

  12. Procedural learning during declarative control.

    Science.gov (United States)

    Crossley, Matthew J; Ashby, F Gregory

    2015-09-01

    There is now abundant evidence that human learning and memory are governed by multiple systems. As a result, research is now turning to the next question of how these putative systems interact. For instance, how is overall control of behavior coordinated, and does learning occur independently within systems regardless of what system is in control? Behavioral, neuroimaging, and neuroscience data are somewhat mixed with respect to these questions. Human neuroimaging and animal lesion studies suggest independent learning and are mostly agnostic with respect to control. Human behavioral studies suggest active inhibition of behavioral output but have little to say regarding learning. The results of two perceptual category-learning experiments are described that strongly suggest that procedural learning does occur while the explicit system is in control of behavior and that this learning might be just as good as if the procedural system was controlling the response. These results are consistent with the idea that declarative memory systems inhibit the ability of the procedural system to access motor output systems but do not prevent procedural learning. (c) 2015 APA, all rights reserved).

  13. Effects of metformin on learning and memory behaviors and brain mitochondrial functions in high fat diet induced insulin resistant rats.

    Science.gov (United States)

    Pintana, Hiranya; Apaijai, Nattayaporn; Pratchayasakul, Wasana; Chattipakorn, Nipon; Chattipakorn, Siriporn C

    2012-10-05

    Metformin is a first line drug for the treatment of type 2 diabetes mellitus (T2DM). Our previous study reported that high-fat diet (HFD) consumption caused not only peripheral and neuronal insulin resistance, but also induced brain mitochondrial dysfunction as well as learning impairment. However, the effects of metformin on learning behavior and brain mitochondrial functions in HFD-induced insulin resistant rats have never been investigated. Thirty-two male Wistar rats were divided into two groups to receive either a normal diet (ND) or a high-fat diet (HFD) for 12weeks. Then, rats in each group were divided into two treatment groups to receive either vehicle or metformin (15mg/kg BW twice daily) for 21days. All rats were tested for cognitive behaviors using the Morris water maze (MWM) test, and blood samples were collected for the determination of glucose, insulin, and malondialdehyde. At the end of the study, animals were euthanized and the brain was removed for studying brain mitochondrial function and brain oxidative stress. We found that in the HFD group, metformin significantly attenuated the insulin resistant condition by improving metabolic parameters, decreasing peripheral and brain oxidative stress levels, and improving learning behavior, compared to the vehicle-treated group. Furthermore, metformin completely prevented brain mitochondrial dysfunction caused by long-term HFD consumption. Our findings suggest that metformin effectively improves peripheral insulin sensitivity, prevents brain mitochondrial dysfunction, and completely restores learning behavior, which were all impaired by long-term HFD consumption. Copyright © 2012 Elsevier Inc. All rights reserved.

  14. Behavioral Objectives, the Cult of Efficiency, and Foreign Language Learning: Are They Compatible?

    Science.gov (United States)

    Tumposky, Nancy Rennau

    1984-01-01

    Surveys the literature regarding the use of behavioral objectives in education and in foreign language instruction and examines the roots of the behavioral objectives movement in behaviorist psychology and the scientific management movement of the 1920s. Discusses implications for foreign and second language learning and provides suggestions for…

  15. Conducting online focus groups on Facebook to inform health behavior change interventions: Two case studies and lessons learned.

    Science.gov (United States)

    Thrul, Johannes; Belohlavek, Alina; Hambrick, D'Arius; Kaur, Manpreet; Ramo, Danielle E

    2017-09-01

    Online social media offer great potential for research participant recruitment and data collection. We conducted synchronous (real-time) online focus groups (OFGs) through Facebook with the target population of young adult substance users to inform development of Facebook health behavior change interventions. In this paper we report methods and lessons learned for future studies. In the context of two research studies participants were recruited through Facebook and assigned to one of five 90-minute private Facebook OFGs. Study 1 recruited for two OFGs with young adult sexual and/or gender minority (SGM) smokers (range: 9 to 18 participants per group); Study 2 recruited for three groups of young adult smokers who also engage in risky drinking (range: 5 to 11 participants per group). Over a period of 11 (Study 1) and 22 days (Study 2), respectively, we recruited, assessed eligibility, collected baseline data, and assigned a diverse sample of participants from all over the US to Facebook groups. For Study 1, 27 of 35 (77%) participants invited attended the OFGs, and 25 of 32 (78%) for Study 2. Participants in Study 1 contributed an average of 30.9 (SD=8.9) comments with an average word count of 20.1 (SD=21.7) words, and 36.0 (SD=12.3) comments with 11.9 (SD=13.5) words on average in Study 2. Participants generally provided positive feedback on the study procedures. Facebook can be a feasible and efficient medium to conduct synchronous OFGs with young adults. This data collection strategy has the potential to inform health behavior change intervention development.

  16. Adolescent-specific patterns of behavior and neural activity during social reinforcement learning.

    Science.gov (United States)

    Jones, Rebecca M; Somerville, Leah H; Li, Jian; Ruberry, Erika J; Powers, Alisa; Mehta, Natasha; Dyke, Jonathan; Casey, B J

    2014-06-01

    Humans are sophisticated social beings. Social cues from others are exceptionally salient, particularly during adolescence. Understanding how adolescents interpret and learn from variable social signals can provide insight into the observed shift in social sensitivity during this period. The present study tested 120 participants between the ages of 8 and 25 years on a social reinforcement learning task where the probability of receiving positive social feedback was parametrically manipulated. Seventy-eight of these participants completed the task during fMRI scanning. Modeling trial-by-trial learning, children and adults showed higher positive learning rates than did adolescents, suggesting that adolescents demonstrated less differentiation in their reaction times for peers who provided more positive feedback. Forming expectations about receiving positive social reinforcement correlated with neural activity within the medial prefrontal cortex and ventral striatum across age. Adolescents, unlike children and adults, showed greater insular activity during positive prediction error learning and increased activity in the supplementary motor cortex and the putamen when receiving positive social feedback regardless of the expected outcome, suggesting that peer approval may motivate adolescents toward action. While different amounts of positive social reinforcement enhanced learning in children and adults, all positive social reinforcement equally motivated adolescents. Together, these findings indicate that sensitivity to peer approval during adolescence goes beyond simple reinforcement theory accounts and suggest possible explanations for how peers may motivate adolescent behavior.

  17. Examining Behavioral, Relational, and Cognitive Engagement in Smaller Learning Communities: A Case Study of Reform in One Suburban District

    Science.gov (United States)

    Davis, Heather A.; Chang, Mei-Lin; Andrzejewski, Carey E.; Poirier, Ryan R.

    2010-01-01

    The purpose of this project was to examine the impact of Smaller Learning Community reform on students' behavioral, relational, and cognitive engagement in a suburban school district experiencing urbanization. We describe a project in which we evaluated the engagement of a cohort of 8th grade students as they transitioned to high school (n = 605).…

  18. Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.

    Science.gov (United States)

    Hong, Weizhe; Kennedy, Ann; Burgos-Artizzu, Xavier P; Zelikowsky, Moriel; Navonne, Santiago G; Perona, Pietro; Anderson, David J

    2015-09-22

    A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new integrated hardware and software system that combines video tracking, depth sensing, and machine learning for automatic detection and quantification of social behaviors involving close and dynamic interactions between two mice of different coat colors in their home cage. We designed a hardware setup that integrates traditional video cameras with a depth camera, developed computer vision tools to extract the body "pose" of individual animals in a social context, and used a supervised learning algorithm to classify several well-described social behaviors. We validated the robustness of the automated classifiers in various experimental settings and used them to examine how genetic background, such as that of Black and Tan Brachyury (BTBR) mice (a previously reported autism model), influences social behavior. Our integrated approach allows for rapid, automated measurement of social behaviors across diverse experimental designs and also affords the ability to develop new, objective behavioral metrics.

  19. Gamification for Engaging Computer Science Students in Learning Activities: A Case Study

    Science.gov (United States)

    Ibáñez, Maria-Blanca; Di-Serio, Ángela; Delgado-Kloos, Carlos

    2014-01-01

    Gamification is the use of game design elements in non-game settings to engage participants and encourage desired behaviors. It has been identified as a promising technique to improve students' engagement which could have a positive impact on learning. This study evaluated the learning effectiveness and engagement appeal of a gamified learning…

  20. Rule-Governed and Contingency-Shaped Behavior of Learning-Disabled, Hyperactive, and Nonselected Elementary School Children.

    Science.gov (United States)

    Metzger, Mary Ann; Freund, Lisa

    The major purpose of this study was to describe the rule-governed and contingency-shaped behavior of learning-disabled, hyperactive, and nonselected elementary school children working on a computer-managed task. Hypotheses tested were (1) that the children would differ in the degree to which either instructions or external contingencies controlled…

  1. Resident Space Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks

    Science.gov (United States)

    Furfaro, R.; Linares, R.; Gaylor, D.; Jah, M.; Walls, R.

    2016-09-01

    In this paper, we present an end-to-end approach that employs machine learning techniques and Ontology-based Bayesian Networks (BN) to characterize the behavior of resident space objects. State-of-the-Art machine learning architectures (e.g. Extreme Learning Machines, Convolutional Deep Networks) are trained on physical models to learn the Resident Space Object (RSO) features in the vectorized energy and momentum states and parameters. The mapping from measurements to vectorized energy and momentum states and parameters enables behavior characterization via clustering in the features space and subsequent RSO classification. Additionally, Space Object Behavioral Ontologies (SOBO) are employed to define and capture the domain knowledge-base (KB) and BNs are constructed from the SOBO in a semi-automatic fashion to execute probabilistic reasoning over conclusions drawn from trained classifiers and/or directly from processed data. Such an approach enables integrating machine learning classifiers and probabilistic reasoning to support higher-level decision making for space domain awareness applications. The innovation here is to use these methods (which have enjoyed great success in other domains) in synergy so that it enables a "from data to discovery" paradigm by facilitating the linkage and fusion of large and disparate sources of information via a Big Data Science and Analytics framework.

  2. An Investigation of the Outcomes of PGY Students’ Cognition of and Persistent Behavior in Learning through the Intervention of the Flipped Classroom in Taiwan

    Science.gov (United States)

    Hsu, Sheng-Der; Chen, Cheng-Jueng; Chang, Wei-Kuo; Hu, Yih-Jin

    2016-01-01

    The Postgraduate Year (PGY) Program allows doctors-in-training to learn about the diagnosis, treatment and nursing of various common, general diseases. These items form the core curriculum and are mostly learned through caring for patients and clinical teaching. Doctors-in-training are evaluated for their knowledge through written tests or assignments, based on which the effectiveness of their training is also assessed; however, this generally produces a negative learning attitude among them. So we introduced the flipped classroom into PGY training program to change PGY students’ learning behavior. Although the flipped classroom is highly valued and has been practiced by teachers in schools of various levels, very few attempts have been made until now to report the learning outcomes achieved through the flipped classroom by means of rigorous research methods. Therefore we tried to employed Ajzen and Fishbein’s (1980) theory of reasoned action and Bandura’s self-efficacy to predict and explain the participants’ behavioral intention when participating in the core curriculum learning of the flipped classroom and to assess the change in students’ learning behavior and learning effectiveness. From August 2013 to July 2014, 39 PGY students from the General Surgery of the Tri-Service General Hospital were selected as the participants of this study. The control group included 43 students of the previous year, that is, the year before the intervention of the flipped classroom. A comparative analysis was performed. The questionnaire’s related matrices indicated highest correlation between self-efficacy and behavioral intention (r = 0.491, P flipped classroom can indeed change PGY students’ the learning behavior from “passive learning” to “active learning.” PMID:27911937

  3. An Action Research Study of Intellectual Disabilities, Inappropriate Behaviors and Learned Helplessness

    Science.gov (United States)

    Luper, Elizabeth P. S.; Lockley, Jeannie

    2008-01-01

    This study focused on a population of 36 female patients, aged 25 to 65, who were diagnosed with intellectual disabilities, all of whom had long-standing patterns of inappropriate behaviors. In an attempt to increase more appropriate behaviors in these patients, a set of standardized contingency rules were established. These rules were implemented…

  4. Zebrafish as a Model to Study NF1-Associated Learning Deficits

    Science.gov (United States)

    2016-07-01

    and Spencer, 1966). The duration of habituated behavior provides a metric for nonassociative learning ( short - term habituation) and memory formation...ing memory . We evaluated learning by exposing larvae to dark- flash stimuli delivered at 3 s interstimulus intervals (ISIs) and measuring short - term ...behavioral outcomes. The fact that we observed robust improve- ments in learning and memory in our experiments even though we used only short - term

  5. Academic Competence and Social Adjustment of Boys with Learning Disabilities and Boys with Behavior Disorders.

    Science.gov (United States)

    Margalit, Malka

    1989-01-01

    Comparison of 31 elementary grade boys with learning disabilities and 52 boys with behavior disorders who either did or did not also display hyperactive behavior found significant differences between groups on the Classroom Behavior Inventory in three areas: Hostility versus Consideration, Extroversion versus Introversion, and Independence versus…

  6. Effects of Bilateral Electrolytic Lesions of the Dorsomedial Striatum on Motor Behavior and Instrumental Learning in Rats

    Directory of Open Access Journals (Sweden)

    Pamphyle Abedi Mukutenga

    2012-08-01

    Full Text Available Introduction: The dorsal striatum plays an important role in the control of motor activity and learning processes within the basal ganglia circuitry. Furthermore, recent works have suggested functional differentiation between subregions of the dorsal striatum Methods: The present study examined the effects of bilateral electrolytic lesions of the dorsomedial striatum on motor behavior and learning ability in rats using a series of behavioral tests. 20 male wistar rats were used in the experiment and behavioral assessment were conducted using open field test, rotarod test and 8-arm radial maze. Results: In the open field test, rats with bilateral electrolytic lesions of the dorsomedial striatum showed a normal motor function in the horizontal locomotor activity, while in rearing activity they displayed a statistically significant motor impairment when compared to sham operated group. In the rotarod test, a deficit in motor coordination and acquisition of skilled behavior was observed in rats with bilateral electrolytic lesions of the dorsomedial striatum compared to sham. However, radial maze performance revealed similar capacity in the acquisition of learning task between experimental groups. Discussion: Our results support the premise of the existence of functional dissociation between the dorsomedial and the dorsolateral regions of the dorsal striatum. In addition, our data suggest that the associative dorsomedial striatum may be as critical in striatum-based motor control.

  7. Understanding Social Learning Behaviors via a Virtual Field Trip

    Directory of Open Access Journals (Sweden)

    Xin Bai

    2014-06-01

    Full Text Available This is a multidisciplinary study investigating how a virtual rather than face-to-face field trip can be conducted in a real-world setting and how students respond to such a social learning opportunity. Our participants followed a story of a stroke patient at her virtual home and in a virtual hospital via a teaching vignette. They were then given a new case and got on a virtual trip via a multiuser virtual environment. They played the roles of patients, relatives, doctors, or nurses, experiencing the emotional, physical, or social impacts those stakeholders may go through. Our study finds the overall participation of the Virtual Group is 50% more than the Text Group. Although the Virtual Group generates much more nodes in total, they focused much less on knowledge sharing and comparing than the Text Group (46 vs. 67, but more on other higher-level aspects of social interactions, such as knowledge discovery (57 vs. 42, co-construction (66 vs. 39, testing and modification (58 vs. 24 and application of newly constructed meaning (60 vs. 16. Analysis of students’ virtual field activities and in-depth discussions of important issues implied are included to help understand social learning behaviors during a virtual field trip. Sustainability of such systems is discussed.

  8. Demographic and Behavioral Characteristics of Osher Lifelong Learning Institute Members

    Science.gov (United States)

    Hansen, Robert Jack; Brady, E. Michael; Thaxton, Steven P.

    2016-01-01

    The number of lifelong learning institutes (LLIs) is growing across the United States and it is important for educational planners and administrators to know about current demographic and behavioral characteristics of program participants. A 14-question survey was administered via SurveyMonkey to members who use computers in eight Osher Lifelong…

  9. Animal behaviour learning environment: software to facilitate learning in canine and feline behavior therapy.

    Science.gov (United States)

    McGreevy, P D; Della Torre, P K; Evans, D L

    2003-01-01

    Interactive software has been developed on CD-ROM to facilitate learning of problem formulation, diagnostic methodology, and therapeutic options in dog and cat behavior problems. Students working in small groups are presented with a signalment, a case history, and brief description of the problem behavior as perceived by the client. Students then navigate through the case history by asking the client questions from an icon-driven question pad. Animated video responses to the questions are provided. Students are then required to rate the significance of the questions and answers with respect to the development of the unwelcome behavior. Links to online self-assessments and to resource materials about causation and treatment options are provided to assist students in their decision-making process. The activity concludes with a software-generated e-mail submission that includes the recorded history, diagnosis, and recommended treatment for assessment purposes.

  10. Elevated dopamine alters consummatory pattern generation and increases behavioral variability during learning

    Directory of Open Access Journals (Sweden)

    Mark A. Rossi

    2015-05-01

    Full Text Available The role of dopamine in controlling behavior remains poorly understood. In this study we examined licking behavior in an established hyperdopaminergic mouse model—dopamine transporter knockout (DAT KO mice. DAT KO mice showed higher rates of licking, which is due to increased perseveration of licking in a bout. By contrast, they showed increased individual lick durations, and reduced inter-lick-intervals. During extinction, both KO and control mice transiently increased variability in lick pattern generation while reducing licking rate, yet they showed very different behavioral patterns. Control mice gradually increased lick duration as well as variability. By contrast, DAT KO mice exhibited more immediate (within 10 licks adjustments—an immediate increase in lick duration variability, as well as more rapid extinction. These results suggest that the level of dopamine can modulate the persistence and pattern generation of a highly stereotyped consummatory behavior like licking, as well as new learning in response to changes in environmental feedback. Increased dopamine in DAT KO mice not only increased perseveration of bouts and individual lick duration, but also increased the behavioral variability in response to the extinction contingency and the rate of extinction.

  11. School promotion of healthful diet and physical activity: impact on learning outcomes and self-reported behavior.

    Science.gov (United States)

    Parcel, G S; Simons-Morton, B; O'Hara, N M; Baranowski, T; Wilson, B

    1989-01-01

    The Go For Health Program included classroom health education and environmental changes in school lunch and physical education to foster healthful diet and exercise among elementary school children. Interventions were based on social learning theory and implementation was based on an organizational change strategy for school innovations. Two schools were assigned to intervention and two to control conditions. Cognitive measures (behavioral capability, self-efficacy, behavioral expectations) and self-reported diet and exercise behavior were assessed at baseline and following intervention. Data were analyzed by ANOVA using the student and then the school as the unit of analysis. Statistically significant changes were observed for diet behavioral capability, self-efficacy, and behavioral expectations, use of salt, and exercise behavioral capability (fourth grade), self-efficacy (fourth grade) and frequency of participation in aerobic activity. The results provide evidence for program impact on learning outcomes and student behavior.

  12. Examining the Relationship between Holistic/Analytic Style and Classroom Learning Behaviors of High School Students

    Science.gov (United States)

    Cheng, Hong-Yu; Zhang, Shu-Qiang

    2017-01-01

    The purpose of this study was to investigate whether and how high school students' cognitive tendencies in holistic/analytic style relate to their active or passive behavioral patterns observed in the classroom. It was speculated that academic intrinsic motivation might play the role as a moderator and learning approach (the structure-oriented…

  13. Gender differences in collaborative learning over online social networks: Epistemological beliefs and behaviors

    Directory of Open Access Journals (Sweden)

    Rosanna Y.-Y. Chan

    2013-09-01

    Full Text Available Online social networks are popular venues for computer-supported collaborative work and computer-supported collaborative learning. Professionals within the same discipline, such as software developers, often interact over various social network sites for knowledge updates and collective understandings. The current study aims at gathering empirical evidences concerning gender differences in online social network beliefs and behaviors. A total of 53 engineering postgraduate students were engaged in a blogging community for collaborative learning. Participants’ beliefs about collaboration and nature of knowledge and knowing (i.e. epistemological beliefs are investigated. More specifically, social network analysis metrics including in-degree, out-degree, closeness centrality, and betweenness centrality are obtained from an 8-interval longitudinal SNA. Methodologically speaking, the current work puts forward mixed methods of longitudinal SNA and quantitative beliefs survey to explore online social network participants’ beliefs and behaviors. The study’s findings demonstrate significant gender differences in collaborative learning through online social networks, including (1 female engineering postgraduate students engage significantly more actively in online communications, (2 male engineering postgraduate students are more likely to be the potential controllers of information flows, and (3 gender differences exist in belief gains related to social aspects, but not individual's epistemic aspects. Overall, participants in both genders demonstrated enhanced beliefs in collaboration as well as the nature of knowledge and knowing.

  14. Using smart mobile devices in social-network-based health education practice: a learning behavior analysis.

    Science.gov (United States)

    Wu, Ting-Ting

    2014-06-01

    Virtual communities provide numerous resources, immediate feedback, and information sharing, enabling people to rapidly acquire information and knowledge and supporting diverse applications that facilitate interpersonal interactions, communication, and sharing. Moreover, incorporating highly mobile and convenient devices into practice-based courses can be advantageous in learning situations. Therefore, in this study, a tablet PC and Google+ were introduced to a health education practice course to elucidate satisfaction of learning module and conditions and analyze the sequence and frequency of learning behaviors during the social-network-based learning process. According to the analytical results, social networks can improve interaction among peers and between educators and students, particularly when these networks are used to search for data, post articles, engage in discussions, and communicate. In addition, most nursing students and nursing educators expressed a positive attitude and satisfaction toward these innovative teaching methods, and looked forward to continuing the use of this learning approach. Copyright © 2014 Elsevier Ltd. All rights reserved.

  15. Personalizing a Service Robot by Learning Human Habits from Behavioral Footprints

    Directory of Open Access Journals (Sweden)

    Kun Li

    2015-03-01

    Full Text Available For a domestic personal robot, personalized services are as important as predesigned tasks, because the robot needs to adjust the home state based on the operator's habits. An operator's habits are composed of cues, behaviors, and rewards. This article introduces behavioral footprints to describe the operator's behaviors in a house, and applies the inverse reinforcement learning technique to extract the operator's habits, represented by a reward function. We implemented the proposed approach with a mobile robot on indoor temperature adjustment, and compared this approach with a baseline method that recorded all the cues and behaviors of the operator. The result shows that the proposed approach allows the robot to reveal the operator's habits accurately and adjust the environment state accordingly.

  16. Temporal Memory Reinforcement Learning for the Autonomous Micro-mobile Robot Based-behavior

    Institute of Scientific and Technical Information of China (English)

    Yang Yujun(杨玉君); Cheng Junshi; Chen Jiapin; Li Xiaohai

    2004-01-01

    This paper presents temporal memory reinforcement learning for the autonomous micro-mobile robot based-behavior. Human being has a memory oblivion process, i.e. the earlier to memorize, the earlier to forget, only the repeated thing can be remembered firmly. Enlightening forms this, and the robot need not memorize all the past states, at the same time economizes the EMS memory space, which is not enough in the MPU of our AMRobot. The proposed algorithm is an extension of the Q-learning, which is an incremental reinforcement learning method. The results of simulation have shown that the algorithm is valid.

  17. Learning Analytics: Insights into the Natural Learning Behavior of Our Students

    Science.gov (United States)

    Becker, Bernd

    2013-01-01

    The migration from traditional classrooms to online learning environments is in full effect. In the midst of these changes, a new approach to learning analytics needs to be considered. Learning analytics refers to the process of collecting and studying usage data in order to make instructional decisions that will support student success. In…

  18. A Scale Development Study for the Teachers on Out of School Learning Environments

    Science.gov (United States)

    Balkan-Kiyici, Fatime; Yavuz Topaloglu, Melike

    2016-01-01

    When teachers organize planned and systematical out-of-school learning activities, students can understand the abstract and complex terms and topics better and therefore meaningful and deeper learning can occur. Within this context this study aims to develop a valid and reliable scale to determine the attitudes, behaviors, efficiency and…

  19. Sensorimotor learning biases choice behavior: a learning neural field model for decision making.

    Directory of Open Access Journals (Sweden)

    Christian Klaes

    Full Text Available According to a prominent view of sensorimotor processing in primates, selection and specification of possible actions are not sequential operations. Rather, a decision for an action emerges from competition between different movement plans, which are specified and selected in parallel. For action choices which are based on ambiguous sensory input, the frontoparietal sensorimotor areas are considered part of the common underlying neural substrate for selection and specification of action. These areas have been shown capable of encoding alternative spatial motor goals in parallel during movement planning, and show signatures of competitive value-based selection among these goals. Since the same network is also involved in learning sensorimotor associations, competitive action selection (decision making should not only be driven by the sensory evidence and expected reward in favor of either action, but also by the subject's learning history of different sensorimotor associations. Previous computational models of competitive neural decision making used predefined associations between sensory input and corresponding motor output. Such hard-wiring does not allow modeling of how decisions are influenced by sensorimotor learning or by changing reward contingencies. We present a dynamic neural field model which learns arbitrary sensorimotor associations with a reward-driven Hebbian learning algorithm. We show that the model accurately simulates the dynamics of action selection with different reward contingencies, as observed in monkey cortical recordings, and that it correctly predicted the pattern of choice errors in a control experiment. With our adaptive model we demonstrate how network plasticity, which is required for association learning and adaptation to new reward contingencies, can influence choice behavior. The field model provides an integrated and dynamic account for the operations of sensorimotor integration, working memory and action

  20. Yolk hormones influence in ovo chemosensory learning, growth, and feeding behavior in domestic chicks.

    Science.gov (United States)

    Bertin, Aline; Meurisse, Maryse; Arnould, Cécile; Leterrier, Christine; Constantin, Paul; Cornilleau, Fabien; Vaudin, Pascal; Burlot, Thierry; Delaveau, Joel; Rat, Christophe; Calandreau, Ludovic

    2016-03-01

    In this study, we assessed whether prenatal exposure to elevated yolk steroid hormones can influence in ovo chemosensory learning and the behavior of domestic chicks. We simulated a maternal environmental challenge by experimentally enhancing yolk progesterone, testosterone, and estradiol concentrations in hen eggs prior to incubation. The embryos from these hormones-treated eggs (HO) as well as sham embryos (O) that had received the vehicle-only were exposed to the odor of fish oil (menhaden) between embryonic Days 11 and 20. An additional group of control embryos (C) was not exposed to the odor. All chicks were tested following hatching for their feeding preferences between foods that were or were not odorized with the menhaden odor. In the 3-min choice tests, the behavior of O chicks differed significantly according to the type of food whereas C and HO chicks showed no preference between odorized and non-odorized food. Our result suggests weaker response in HO chicks. In addition, HO chicks showed impaired growth and reduced intake of an unfamiliar food on the 24-h time scale compared to controls. Our data suggest that embryonic exposure to increased yolk hormone levels can alter growth, chemosensory learning, and the development of feeding behaviors. © 2015 Wiley Periodicals, Inc.

  1. Mechanisms of social avoidance learning can explain the emergence of adaptive and arbitrary behavioral traditions in humans.

    Science.gov (United States)

    Lindström, Björn; Olsson, Andreas

    2015-06-01

    Many nonhuman animals preferentially copy the actions of others when the environment contains predation risk or other types of danger. In humans, the role of social learning in avoidance of danger is still unknown, despite the fundamental importance of social learning for complex social behaviors. Critically, many social behaviors, such as cooperation and adherence to religious taboos, are maintained by threat of punishment. However, the psychological mechanisms allowing threat of punishment to generate such behaviors, even when actual punishment is rare or absent, are largely unknown. To address this, we used both computer simulations and behavioral experiments. First, we constructed a model where simulated agents interacted under threat of punishment and showed that mechanisms' (a) tendency to copy the actions of others through social learning, together with (b) the rewarding properties of avoiding a threatening punishment, could explain the emergence, maintenance, and transmission of large-scale behavioral traditions, both when punishment is common and when it is rare or nonexistent. To provide empirical support for our model, including the 2 mechanisms, we conducted 4 experiments, showing that humans, if threatened with punishment, are exceptionally prone to copy and transmit the behavior observed in others. Our results show that humans, similar to many nonhuman animals, use social learning if the environment is perceived as dangerous. We provide a novel psychological and computational basis for a range of human behaviors characterized by the threat of punishment, such as the adherence to cultural norms and religious taboos. (c) 2015 APA, all rights reserved).

  2. THE STRATEGY OF ENHANCING STUDENT’S LEADERSHIP BEHAVIOR THROUGH HISTORY LEARNING BASED ON SERAT MUDHATANYA VALUE

    Directory of Open Access Journals (Sweden)

    Aris Cahyono

    2017-12-01

    Full Text Available The aim of this research is to examine the implementation and effectivity of history learning concept based on value of Serat Mudhatanya for enhancing student’s leadership behavior. This research is conducted on XI-3 Social Science of SMA Negeri 1 Baureno as the experimental class and XI-3 Social Science of SMA Negeri 1 Sumberrejo as the control class. This research uses the combination of qualitative and quantitative method. The results of this research are: 1 history concept based on value of Serat Mudhatanya is developed by combining Group Investigation concept, Value Clarification Technique and Scientific approach, and leadership values of Serat Mudhatanya, 2 the implementation of history learning based on value of Serat Mudhatanya enhancing character building of student effectively in the form of leadership behavior and student’s result of their studies.

  3. The effects of response cost and species-typical behaviors on a daily time-place learning task.

    Science.gov (United States)

    Deibel, Scott H; Thorpe, Christina M

    2013-03-01

    Two theories that have been hypothesized to mediate acquisition in daily time-place learning (TPL) tasks were investigated in a free operant daily TPL task: the response cost hypothesis and the species-typical behavior hypothesis. One lever at the end of one of the choice arms of a T-maze provided food in the morning, and 6 h later, a lever in the other choice arm provided food. Four groups were used to assess the effect of two possible sources of response cost: physical effort of the task and costs associated with foraging ecology. One group was used to assess the effect of explicitly allowing for species-typical behaviors. If only first arm choice data were considered, there was little evidence of learning. However, both first press and percentage of presses on the correct lever prior to the first reinforcement revealed evidence of TPL in most rats tested. Unexpectedly, the high response cost groups for both of the proposed sources did not perform better than the low response cost groups. The groups that allowed animals to display species-typical behaviors performed the worst. Skip session probe trials confirmed that the majority of the rats that acquired the task were using a circadian timing strategy. The results from the present study suggest that learning in free operant daily TPL tasks might not be dependent on response cost.

  4. Differential Learning as a Key Training Approach to Improve Creative and Tactical Behavior in Soccer

    Science.gov (United States)

    Santos, Sara; Coutinho, Diogo; Gonçalves, Bruno; Schöllhorn, Wolfgang; Sampaio, Jaime; Leite, Nuno

    2018-01-01

    Purpose: The aim of this study was to identify the effects of a differential-learning program, embedded in small-sided games, on the creative and tactical behavior of youth soccer players. Forty players from under-13 (U13) and under-15 (U15) were allocated into control and experimental groups and were tested using a randomized pretest to posttest…

  5. Language Learning Enhanced by Massive Multiple Online Role-Playing Games (MMORPGs) and the Underlying Behavioral and Neural Mechanisms

    Science.gov (United States)

    Zhang, Yongjun; Song, Hongwen; Liu, Xiaoming; Tang, Dinghong; Chen, Yue-e; Zhang, Xiaochu

    2017-01-01

    Massive Multiple Online Role-Playing Games (MMORPGs) have increased in popularity among children, juveniles, and adults since MMORPGs’ appearance in this digital age. MMORPGs can be applied to enhancing language learning, which is drawing researchers’ attention from different fields and many studies have validated MMORPGs’ positive effect on language learning. However, there are few studies on the underlying behavioral or neural mechanism of such effect. This paper reviews the educational application of the MMORPGs based on relevant macroscopic and microscopic studies, showing that gamers’ overall language proficiency or some specific language skills can be enhanced by real-time online interaction with peers and game narratives or instructions embedded in the MMORPGs. Mechanisms underlying the educational assistant role of MMORPGs in second language learning are discussed from both behavioral and neural perspectives. We suggest that attentional bias makes gamers/learners allocate more cognitive resources toward task-related stimuli in a controlled or an automatic way. Moreover, with a moderating role played by activation of reward circuit, playing the MMORPGs may strengthen or increase functional connectivity from seed regions such as left anterior insular/frontal operculum (AI/FO) and visual word form area to other language-related brain areas. PMID:28303097

  6. Language Learning Enhanced by Massive Multiple Online Role-Playing Games (MMORPGs) and the Underlying Behavioral and Neural Mechanisms.

    Science.gov (United States)

    Zhang, Yongjun; Song, Hongwen; Liu, Xiaoming; Tang, Dinghong; Chen, Yue-E; Zhang, Xiaochu

    2017-01-01

    Massive Multiple Online Role-Playing Games (MMORPGs) have increased in popularity among children, juveniles, and adults since MMORPGs' appearance in this digital age. MMORPGs can be applied to enhancing language learning, which is drawing researchers' attention from different fields and many studies have validated MMORPGs' positive effect on language learning. However, there are few studies on the underlying behavioral or neural mechanism of such effect. This paper reviews the educational application of the MMORPGs based on relevant macroscopic and microscopic studies, showing that gamers' overall language proficiency or some specific language skills can be enhanced by real-time online interaction with peers and game narratives or instructions embedded in the MMORPGs. Mechanisms underlying the educational assistant role of MMORPGs in second language learning are discussed from both behavioral and neural perspectives. We suggest that attentional bias makes gamers/learners allocate more cognitive resources toward task-related stimuli in a controlled or an automatic way. Moreover, with a moderating role played by activation of reward circuit, playing the MMORPGs may strengthen or increase functional connectivity from seed regions such as left anterior insular/frontal operculum (AI/FO) and visual word form area to other language-related brain areas.

  7. Influence of course characteristics, student characteristics, and behavior in learning management systems on student performance

    NARCIS (Netherlands)

    Conijn, Rianne; Kleingeld, Ad; Matzat, Uwe; Snijders, Chris; van Zaanen, Menno

    2016-01-01

    The use of learning management systems (LMS) in education make it possible to track students’ online behavior. This data can be used for educational data mining and learning analytics, for example, by predicting student performance. Although LMS data might contain useful predictors, course

  8. Fear learning and memory across adolescent development Hormones and Behavior Special Issue: Puberty and Adolescence

    Science.gov (United States)

    Pattwell, Siobhan S.; Lee, Francis S.; Casey, B.J.

    2013-01-01

    Throughout the past several decades, studies have uncovered a wealth of information about the neural circuitry underlying fear learning and extinction that has helped to inform treatments for fear-related disorders such as post-traumatic stress and anxiety. Yet, up to 40 percent of people do not respond to such treatments. Adolescence, in particular, is a developmental stage during which anxiety disorders peak, yet little is known about the development of fear-related neural circuitry during this period. Moreover, pharmacological and behavioral therapies that have been developed are based on mature circuitry and function. Here, we review neural circuitry implicated in fear learning and data from adolescent mouse and human fear learning studies. In addition, we propose a developmental model of fear neural circuitry that may optimize current treatments and inform when, during development, specific treatments for anxiety may be most effective. PMID:23998679

  9. The Role of Organizational Learning Culture and Psychological Empowerment in Reducing Turnover Intention and Enhancing Citizenship Behavior

    Science.gov (United States)

    Islam, Talat; Khan, Mubbsher Munawar; Bukhari, Fida Hussain

    2016-01-01

    Purpose: The purpose of this paper is to examine the association among organizational learning culture (OLC), psychological empowerment (PE), affective commitment (AC), organizational citizenship behavior and turnover intention. Design/Methodology/Approach: This study was undertaken via a questionnaire conducted among Malay-Chinese working in…

  10. The acceptance and use of a virtual learning environment in higher education: an empirical study in Turkey, and the UK

    Directory of Open Access Journals (Sweden)

    Özlem Efiloğlu Kurt

    2017-10-01

    Full Text Available Abstract This study evaluated the acceptance and use of a virtual learning environment in higher education by using the unified theory of acceptance and use of technology (UTAUT model. Study data were collected by means of a questionnaire form, completed by 1032 students receiving undergraduate education in Turkey and the United Kingdom, who currently use similar virtual learning environments. The role of performance expectancy, effort expectancy, social influence and facilitating conditions were evaluated and tested for both countries. The study results demonstrated that the behavioral intention and use behavior regarding the utilization of a virtual learning environment in higher education differed between the two countries, and that the level of impact of the factors that shape behavioral intention and use behavior also differed from one factor to another.

  11. Importance of associative learning processes for one-trial behavioral sensitization of preweanling rats.

    Science.gov (United States)

    McDougall, Sanders A; Pothier, Alexandria G; Der-Ghazarian, Taleen; Herbert, Matthew S; Kozanian, Olga O; Castellanos, Kevin A; Flores, Ana T

    2011-10-01

    During adulthood, associative learning is necessary for the expression of one-trial behavioral sensitization; however, it is uncertain whether the same associative processes are operative during the preweanling period. Two strategies were used to assess the importance of associative learning for one-trial behavioral sensitization of preweanling rats. In the initial experiments, we varied both the sequence and time interval between presentation of the conditioned stimulus (CS, novel environment) and unconditioned stimulus (US, cocaine). In the final experiment, we determined whether electroconvulsive shock-induced retrograde amnesia would disrupt one-trial behavioral sensitization. Results showed that robust-sensitized responding was apparent regardless of the sequence in which cocaine and the novel environment (the presumptive CS) were presented. Varying the time between CS and US presentation (0, 3, or 6 h) was also without effect. Results from experiment 3 showed that single or multiple electroconvulsive shock treatments did not alter the expression of the sensitized response. Therefore, these data indicated that one-trial behavioral sensitization of preweanling rats was exclusively mediated by nonassociative mechanisms and that associative processes did not modulate sensitized responding. These findings are in contrast to what is observed during adulthood, as adult rats exhibit one-trial behavioral sensitization only when associative processes are operative.

  12. How does a specific learning and memory system in the mammalian brain gain control of behavior?

    Science.gov (United States)

    McDonald, Robert J; Hong, Nancy S

    2013-11-01

    This review addresses a fundamental, yet poorly understood set of issues in systems neuroscience. The issues revolve around conceptualizations of the organization of learning and memory in the mammalian brain. One intriguing, and somewhat popular, conceptualization is the idea that there are multiple learning and memory systems in the mammalian brain and they interact in different ways to influence and/or control behavior. This approach has generated interesting empirical and theoretical work supporting this view. One issue that needs to be addressed is how these systems influence or gain control of voluntary behavior. To address this issue, we clearly specify what we mean by a learning and memory system. We then review two types of processes that might influence which memory system gains control of behavior. One set of processes are external factors that can affect which system controls behavior in a given situation including task parameters like the kind of information available to the subject, types of training experience, and amount of training. The second set of processes are brain mechanisms that might influence what memory system controls behavior in a given situation including executive functions mediated by the prefrontal cortex; switching mechanisms mediated by ascending neurotransmitter systems, the unique role of the hippocampus during learning. The issue of trait differences in control of different learning and memory systems will also be considered in which trait differences in learning and memory function are thought to potentially emerge from differences in level of prefrontal influence, differences in plasticity processes, differences in ascending neurotransmitter control, differential access to effector systems like motivational and motor systems. Finally, we present scenarios in which different mechanisms might interact. This review was conceived to become a jumping off point for new work directed at understanding these issues. The outcome of

  13. Data-Driven Design: Learning from Student Experiences and Behaviors

    Science.gov (United States)

    Horodyskyj, L.; Mead, C.; Buxner, S.; Semken, S. C.; Anbar, A. D.

    2015-12-01

    Good instructors know that lessons and courses change over time. Limitations in time and data often prevent instructors from making changes that will most benefit their students. For example, in traditional in-person classrooms an instructor may only have access to the final product of a student's thought processes (such as a term paper, homework assignment, or exam). The thought processes that lead to a given answer are opaque to the instructor, making future modifications to course content an exercise in trial-and-error and instinct. Modern online intelligent tutoring systems can provide insight into a student's behavior, providing transparency to a previously opaque process and providing the instructor with better information for course modification. Habitable Worlds is an introductory level online-only astrobiology lab course that has been offered at Arizona State University since Fall 2011. The course is built and offered through an intelligent tutoring system, Smart Sparrow's Adaptive eLearning Platform, which provides in-depth analytics that allow the instructor to investigate detailed student behavior, from time spent on question to number of attempts to patterns of answers. We will detail the process we employ of informed modification of course content, including time and trial comparisons between semesters, analysis of submitted answers, analysis of alternative learning pathways taken, and A/B testing.

  14. Content, Affective, and Behavioral Challenges to Learning: Students' Experiences Learning Statistics

    Science.gov (United States)

    McGrath, April L.

    2014-01-01

    This study examined the experiences of and challenges faced by students when completing a statistics course. As part of the requirement for this course, students completed a learning check-in, which consisted of an individual meeting with the instructor to discuss questions and the completion of a learning reflection and study plan. Forty…

  15. Day-to-day variations in health behaviors and daily functioning: two intensive longitudinal studies.

    Science.gov (United States)

    Flueckiger, Lavinia; Lieb, Roselind; Meyer, Andrea H; Witthauer, Cornelia; Mata, Jutta

    2017-04-01

    In two intensive longitudinal studies we examined the daily dynamics in health behaviors and their associations with two important indicators of young adults' daily functioning, namely, affect and academic performance. Over a period of 8 months, university students (Study 1: N = 292; Study 2: N = 304) reported sleep, physical activity, snacking, positive and negative affect, and learning goal achievement. A subsample wore an actigraph to provide an additional measurement of sleep and physical activity and participated in a controlled laboratory snacking situation. Multilevel structural equation models showed that better day-to-day sleep quality or more physical activity than usual, but not snacking, were associated with improved daily functioning, namely, affect and learning goal achievement. Importantly, self-report measurements of health behaviors correlated with behavioral measurements. These findings have the potential to inform health promotion programs aimed at supporting young adults in their daily functioning in good physical and mental health.

  16. Self-regulated Learning Behavior of College Students of Art and Their Academic Achievement

    Science.gov (United States)

    Peng, Cuixin

    This study focuses on the relationship between self-regulated learning behavior and their academic achievement of college students of art. The results show that for students of art, the involvements in self-efficacy, intrinsic value and cognitive strategies are closely tied to their performance in the examination. However, test anxiety, as a negative emotional factor is negatively correlated with academic performance. And among the five variables, self-efficacy has the strongest influence on students of art's academic performance.

  17. Capability Building and Learning: An Emergent Behavior Approach

    Directory of Open Access Journals (Sweden)

    Andreu Rafael

    2014-12-01

    Full Text Available Economics-based models of firms typically overlook management acts and capability development. We propose a model that analyzes the aggregate behavior of a population of firms resulting from both specific management decisions and learning processes, that induce changes in companies’ capabilities. Decisions are made under imperfect information and bounded rationality, and managers may sacrifice short-term performance in exchange for qualitative outcomes that affect their firm’s future potential. The proposed model provides a structured setting in which these issues -often discussed only informally- can be systematically analyzed through simulation, producing a variety of hard-to-anticipate emergent behaviors. Economic performance is quite sensitive to managers’ estimates of their firms’ capabilities, and companies willing to sacrifice short-run results for future potential appear to be more stable than the rest. Also, bounded rationality can produce chaotic dynamics reminiscent of real life situations.

  18. Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective

    Science.gov (United States)

    Story, Giles W.; Vlaev, Ivo; Seymour, Ben; Darzi, Ara; Dolan, Raymond J.

    2014-01-01

    The tendency to make unhealthy choices is hypothesized to be related to an individual's temporal discount rate, the theoretical rate at which they devalue delayed rewards. Furthermore, a particular form of temporal discounting, hyperbolic discounting, has been proposed to explain why unhealthy behavior can occur despite healthy intentions. We examine these two hypotheses in turn. We first systematically review studies which investigate whether discount rates can predict unhealthy behavior. These studies reveal that high discount rates for money (and in some instances food or drug rewards) are associated with several unhealthy behaviors and markers of health status, establishing discounting as a promising predictive measure. We secondly examine whether intention-incongruent unhealthy actions are consistent with hyperbolic discounting. We conclude that intention-incongruent actions are often triggered by environmental cues or changes in motivational state, whose effects are not parameterized by hyperbolic discounting. We propose a framework for understanding these state-based effects in terms of the interplay of two distinct reinforcement learning mechanisms: a “model-based” (or goal-directed) system and a “model-free” (or habitual) system. Under this framework, while discounting of delayed health may contribute to the initiation of unhealthy behavior, with repetition, many unhealthy behaviors become habitual; if health goals then change, habitual behavior can still arise in response to environmental cues. We propose that the burgeoning development of computational models of these processes will permit further identification of health decision-making phenotypes. PMID:24659960

  19. Differentiating children with attention-deficit/hyperactivity disorder, conduct disorder, learning disabilities and autistic spectrum disorders by means of their motor behavior characteristics.

    Science.gov (United States)

    Efstratopoulou, Maria; Janssen, Rianne; Simons, Johan

    2012-01-01

    The study was designed to investigate the discriminant validity of the Motor Behavior Checklist (MBC) for distinguishing four group of children independently classified with Attention-Deficit/Hyperactivity Disorder, (ADHD; N=22), Conduct Disorder (CD; N=17), Learning Disabilities (LD; N=24) and Autistic Spectrum Disorders (ASD; N=20). Physical education teachers used the MBC for children to rate their pupils based on their motor related behaviors. A multivariate analysis revealed significant differences among the groups on different problem scales. The results indicated that the MBC for children may be effective in discriminating children with similar disruptive behaviors (e.g., ADHD, CD) and autistic disorders, based on their motor behavior characteristics, but not children with Learning Disabilities (LD), when used by physical education teachers in school settings. Copyright © 2011 Elsevier Ltd. All rights reserved.

  20. Designing a mobile learning game to investigate the impact of role-playing on helping behavior

    NARCIS (Netherlands)

    Schmitz, Birgit; Ternier, Stefaan; Klemke, Roland; Kalz, Marco; Specht, Marcus

    2013-01-01

    Schmitz, B., Ternier, S., Klemke, R., Kalz, M., & Specht, M. (2013). Designing a mobile learning game to investigate the impact of role-playing on helping behavior. In D. Hernández-Leo et al. (Eds.), Scaling up Learning for Sustained Impact. Proceedings of European Conference on Technology Enhanced

  1. Learning to Eat: Behavioral and Psychological Aspects.

    Science.gov (United States)

    Birch, Leann L

    2016-01-01

    Because infants are totally dependent upon parents (or other caregivers) for care and sustenance, parents' feeding practices are a key feature of the family environments in which infants and young children learn about food and eating. Feeding practices include not only what the child is fed, but also the how, when, why and how much of feeding. Extensive evidence indicates that parenting behavior influences a variety of child outcomes, including cognitive and socioemotional development, as well as the development of self-regulatory skills. The focus of this chapter is on what is known about how parenting, particularly feeding practices, influences the early development of several aspects of children's eating behavior, including the acquisition of food preferences, self-regulatory skills, children's reactivity to food cues, satiety responsiveness and 'picky eating'. It is argued that traditional feeding practices, which evolved to protect children from environmental threats and ensure adequate intake in the context of food scarcity, can be maladaptive in current environments. An evidence base is needed to inform public policy to reduce early obesity risk in current environments, where too much palatable food is a major threat to child health. Results of recent research provides evidence that promoting responsive feeding practices can alter the development of eating behavior, sleep patterns and early self-regulatory skills, as well as reduce early obesity risk. © 2016 Nestec Ltd., Vevey/S. Karger AG, Basel.

  2. Social Interaction in Infants' Learning of Second-Language Phonetics: An Exploration of Brain-Behavior Relations.

    Science.gov (United States)

    Conboy, Barbara T; Brooks, Rechele; Meltzoff, Andrew N; Kuhl, Patricia K

    2015-01-01

    Infants learn phonetic information from a second language with live-person presentations, but not television or audio-only recordings. To understand the role of social interaction in learning a second language, we examined infants' joint attention with live, Spanish-speaking tutors and used a neural measure of phonetic learning. Infants' eye-gaze behaviors during Spanish sessions at 9.5-10.5 months of age predicted second-language phonetic learning, assessed by an event-related potential measure of Spanish phoneme discrimination at 11 months. These data suggest a powerful role for social interaction at the earliest stages of learning a new language.

  3. Improving Work Outcome in Supported Employment for Serious Mental Illness: Results From 2 Independent Studies of Errorless Learning.

    Science.gov (United States)

    Kern, Robert S; Zarate, Roberto; Glynn, Shirley M; Turner, Luana R; Smith, Kellie M; Mitchell, Sharon S; Sugar, Catherine A; Bell, Morris D; Liberman, Robert P; Kopelowicz, Alex; Green, Michael F

    2018-01-13

    Heterogeneity in work outcomes is common among individuals with serious mental illness (SMI). In 2 studies, we sought to examine the efficacy of adding errorless learning, a behavioral training intervention, to evidence-based supported employment to improve SMI work outcomes. Work behavior problems were targeted for intervention. We also explored associations between early work behavior and job tenure. For both studies (VA: n = 71; community mental health center: n = 91), randomization occurred at the time of job obtainment with participants randomized (1:1) to either errorless learning plus ongoing supported employment or ongoing supported employment alone and then followed for 12 months. Dependent variables included job tenure, work behavior, and hours worked and wages earned per week. For the primary intent-to-treat analyses, data were combined across studies. Findings revealed that participants in the errorless learning plus supported employment group stayed on their jobs significantly longer than those in the supported employment alone group (32.8 vs 25.6 wk). In addition, differential treatment effects favoring errorless learning were found on targeted work behavior problems (50.5% vs 27.4% improvement from baseline to follow-up assessment). There were no other differential treatment effects. For the prediction analyses involving work behavior, social skills explained an additional 18.3% of the variance in job tenure beyond levels of cognition, symptom severity, and past work history. These data support errorless learning as an adjunctive intervention to enhance supported employment outcomes and implicate the relevance of workplace social difficulties as a key impediment to prolonged job tenure. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center 2017.

  4. Fostering Self-Monitoring of University Students by Means of a Standardized Learning Journal--A Longitudinal Study with Process Analyses

    Science.gov (United States)

    Fabriz, Sabine; Dignath-van Ewijk, Charlotte; Poarch, Gregory; Büttner, Gerhard

    2014-01-01

    The self-regulation of learning behavior is an important key competence for university students. In this presented study, we aimed at fostering students' self-regulation of learning by means of a standardized learning journal. In two of four courses that were included in the study, students had to keep a structured learning diary and/or…

  5. INCAP studies of malnutrition and cognitive behavior.

    Science.gov (United States)

    Engle, Patrice L; Fernández, Patricia D

    2010-03-01

    The Institute of Nutrition of Central America and Panama (INCAP) has made major contributions to the study of the effects of malnutrition on learning. This report summarizes work on the relationship of nutrition to children's learning and development from the 1960's through 1998. The Oriente Longitudinal Study examined the effects of two types of supplementation for mothers and young children on their growth and development (an energy-only drink compared with a protein-energy drink) using a quasi-experimental design. Both drinks were supplemented with micronutrients, and were offered daily. As a result of the research on malnutrition and mental development, researchers could conclude by 1993 that supplementary feeding of infants and young children resulted in significant increases cognitive development and school performance through adolescence. The research also suggested that the pathways that link malnutrition with later development are not only through the neurological system but also operate through changes in child behavior which affect the kinds of care children receive. Other research on learning and development showed that families understood the concept of intelligence, demonstrated the link between micronutrients and cognitive development, and documented the amount of wastage or repetition and drop-out that occurs in Guatemalan schools.

  6. Cyber Dating Abuse: Investigating Digital Monitoring Behaviors Among Adolescents From a Social Learning Perspective.

    Science.gov (United States)

    Van Ouytsel, Joris; Ponnet, Koen; Walrave, Michel

    2017-07-01

    Just as with other forms of abuse such as bullying, dating violence is no longer limited to physical spaces. Several forms of dating violence can also be perpetrated by means of technology. Few studies have used a theoretical perspective to investigate cyber dating abuse. This study addresses this gap in the literature by focusing on the perpetration of digital monitoring behaviors-a form of cyber dating abuse-from a social learning perspective. We investigate the extent to which perceived social norms about cyber dating abuse, witnessing controlling behaviors among parents, and endorsing gender stereotypes are linked with adolescents' engagement in digital monitoring behaviors. The study draws on data from 466 secondary school students (71.0% girls, n = 331) aged between 16 and 22 years ( M = 17.99 years, SD = 0.92) in Flanders, Belgium, who were in a romantic relationship. Linear regression analysis indicates that being female, being older, the perceived social norms of peers, the endorsement of gender stereotypes, and having observed intrusive controlling behaviors by the father are significantly and positively related to adolescents' perpetration of digital monitoring behaviors. The findings have implications for practice and underscore the need for prevention efforts to address and lower the influence of these perceived social norms. Further implications include the need for prevention efforts to focus on diminishing the impact of gender stereotypical attitudes and the influence of witnessing controlling behaviors within the family context on cyber dating abuse perpetration.

  7. Statistical learning of multisensory regularities is enhanced in musicians: An MEG study.

    Science.gov (United States)

    Paraskevopoulos, Evangelos; Chalas, Nikolas; Kartsidis, Panagiotis; Wollbrink, Andreas; Bamidis, Panagiotis

    2018-07-15

    The present study used magnetoencephalography (MEG) to identify the neural correlates of audiovisual statistical learning, while disentangling the differential contributions of uni- and multi-modal statistical mismatch responses in humans. The applied paradigm was based on a combination of a statistical learning paradigm and a multisensory oddball one, combining an audiovisual, an auditory and a visual stimulation stream, along with the corresponding deviances. Plasticity effects due to musical expertise were investigated by comparing the behavioral and MEG responses of musicians to non-musicians. The behavioral results indicated that the learning was successful for both musicians and non-musicians. The unimodal MEG responses are consistent with previous studies, revealing the contribution of Heschl's gyrus for the identification of auditory statistical mismatches and the contribution of medial temporal and visual association areas for the visual modality. The cortical network underlying audiovisual statistical learning was found to be partly common and partly distinct from the corresponding unimodal networks, comprising right temporal and left inferior frontal sources. Musicians showed enhanced activation in superior temporal and superior frontal gyrus. Connectivity and information processing flow amongst the sources comprising the cortical network of audiovisual statistical learning, as estimated by transfer entropy, was reorganized in musicians, indicating enhanced top-down processing. This neuroplastic effect showed a cross-modal stability between the auditory and audiovisual modalities. Copyright © 2018 Elsevier Inc. All rights reserved.

  8. Behavioral evidence for differences in social and non-social category learning

    Directory of Open Access Journals (Sweden)

    Lucile eGamond

    2012-08-01

    Full Text Available When meeting someone for the very first time one spontaneously categorizes the seen person on the basis of his/her appearance. Categorization is based on the association between some physical features and category labels that can be social (character trait… or non-social (tall, thin. Surprisingly little is known about how such associations are formed, particularly in the social domain. Here, we aimed at testing whether social and non-social category learning may be dissociated. We presented subjects with a large number of faces that had to be rated according to social or non-social labels, and induced an association between a facial feature (inter-eye distance and the category labels using two different procedures. In a first experiment, we used a feedback procedure to reinforce the association; behavioral measures revealed an association between the physical feature manipulated and abstract non-social categories, while no evidence for an association with social labels could be found. In a second experiment, we used passive exposure to the association between physical features and labels; we obtained behavioral evidence for learning of both social and non-social categories. These results support the view of the specificity of social category learning; they suggest that social categories are best acquired through unsupervised procedures that can be considered as a simplified proxy for group transmission.

  9. Astrocytic IL-6 mediates locomotor activity, exploration, anxiety, learning and social behavior.

    Science.gov (United States)

    Erta, Maria; Giralt, Mercedes; Esposito, Flavia Lorena; Fernandez-Gayol, Olaya; Hidalgo, Juan

    2015-07-01

    Interleukin-6 (IL-6) is a major cytokine in the central nervous system, secreted by different brain cells and with roles in a number of physiological functions. We herewith confirm and expand the importance of astrocytic production of and response to IL-6 by using transgenic mice deficient in astrocytic IL-6 (Ast-IL-6 KO) or in its receptor (Ast-IL-6R KO) in full C57Bl/6 genetic background. A major prosurvival effect of astrocytic IL-6 at early ages was clearly demonstrated. Robust effects were also evident in the control of activity and anxiety in the hole-board and elevated plus-maze, and in spatial learning in the Morris water-maze. The results also suggest an inhibitory role of IL-6 in the mechanism controlling the consolidation of hippocampus-dependent spatial learning. Less robust effects of astrocytic IL-6 system were also observed in despair behavior in the tail suspension test, and social behavior in the dominance and resident-intruder tests. The behavioral phenotype was highly dependent on age and/or sex in some cases. The phenotype of Ast-IL-6R KO mice mimicked only partially that of Ast-IL-6KO mice, which indicates both a role of astrocytes in behavior and the participation of other cells besides astrocytes. No evidences of altered function of the hypothalamic-pituitary-adrenal axis were observed. These results demonstrate that astrocytic IL-6 (acting at least partially in astrocytes) regulates normal behavior in mice. Copyright © 2015 Elsevier Inc. All rights reserved.

  10. A behavioral science/behavioral medicine core curriculum proposal for Japanese undergraduate medical education.

    Science.gov (United States)

    Tsutsumi, Akizumi

    2015-01-01

    Behavioral science and behavioral medicine have not been systematically taught to Japanese undergraduate medical students. A working group under the auspices of Japanese Society of Behavioral Medicine developed an outcome-oriented curriculum of behavioral science/behavioral medicine through three processes: identifying the curriculum contents, holding a joint symposium with related societies, and defining outcomes and proposing a learning module. The behavioral science/behavioral medicine core curriculum consists of 11 units of lectures and four units of practical study. The working group plans to improve the current core curriculum by devising formative assessment methods so that students can learn and acquire attitude as well as the skills and knowledge necessary for student-centered clinical practice.

  11. Grounding the meanings in sensorimotor behavior using reinforcement learning

    Directory of Open Access Journals (Sweden)

    Igor eFarkaš

    2012-02-01

    Full Text Available The recent outburst of interest in cognitive developmental robotics is fueled by the ambition to propose ecologically plausible mechanisms of how, among other things, a learning agent/robot could ground linguistic meanings in its sensorimotor behaviour. Along this stream, we propose a model that allows the simulated iCub robot to learn the meanings of actions (point, touch and push oriented towards objects in robot's peripersonal space. In our experiments, the iCub learns to execute motor actions and comment on them. Architecturally, the model is composed of three neural-network-based modules that are trained in different ways. The first module, a two-layer perceptron, is trained by back-propagation to attend to the target position in the visual scene, given the low-level visual information and the feature-based target information. The second module, having the form of an actor-critic architecture, is the most distinguishing part of our model, and is trained by a continuous version of reinforcement learning to execute actions as sequences, based on a linguistic command. The third module, an echo-state network, is trained to provide the linguistic description of the executed actions. The trained model generalises well in case of novel action-target combinations with randomised initial arm positions. It can also promptly adapt its behavior if the action/target suddenly changes during motor execution.

  12. An Interview with Joe McMann: Lessons Learned from Fifty Years of Observing Hardware and Human Behavior

    Science.gov (United States)

    McMann, Joe

    2011-01-01

    Pica Kahn conducted "An Interview with Joe McMann: Lessons Learned in Human and Hardware Behavior" on August 16, 2011. With more than 40 years of experience in the aerospace industry, McMann has gained a wealth of knowledge. This presentation focused on lessons learned in human and hardware behavior. During his many years in the industry, McMann observed that the hardware development process was intertwined with human influences, which impacted the outcome of the product.

  13. Naturally Acquired Learned Helplessness: The Relationship of School Failure to Achievement Behavior, Attributions, and Self-Concept.

    Science.gov (United States)

    Johnson, Dona S.

    1981-01-01

    Personality and behavioral consequences of learned helplessness were monitored in children experiencing failure in school. The predictive quality of learned helplessness theory was compared with that of value expectancy theories. Low self-concept was predicted significantly by school failure, internal attributions for failure, and external…

  14. Effects of Jigsaw Learning Method on Students’ Self-Efficacy and Motivation to Learn

    OpenAIRE

    Dwi Nur Rachmah

    2017-01-01

    Jigsaw learning as a cooperative learning method, according to the results of some studies, can improve academic skills, social competence, behavior in learning, and motivation to learn. However, in some other studies, there are different findings regarding the effect of jigsaw learning method on self-efficacy. The purpose of this study is to examine the effects of jigsaw learning method on self-efficacy and motivation to learn in psychology students at the Faculty of Medicine, Universitas La...

  15. Maternal and littermate deprivation disrupts maternal behavior and social-learning of food preference in adulthood: tactile stimulation, nest odor, and social rearing prevent these effects.

    Science.gov (United States)

    Melo, Angel I; Lovic, Vedran; Gonzalez, Andrea; Madden, Melissa; Sinopoli, Katia; Fleming, Alison S

    2006-04-01

    Maternal and littermate (social) separation, through artificial rearing (AR), disrupts the development of subsequent maternal behavior and social learning in rats. The addition of maternal-licking-like stimulation during AR, partially reverses some of these effects. However, little is know about the role of social stimuli from littermates and nest odors during the preweaning period, in the development of the adult maternal behavior and social learning. The purpose of this study was to examine the effects of peer- and peer-and-odor rearing on the development of maternal behavior and social learning in rats. Female pups were reared with mothers (mother reared-MR) or without mothers (AR) from postnatal day (PND) 3. AR rats received three different treatments: (1) AR-CONTROL group received minimal tactile stimulation, (2) AR-ODOR females received exposure to maternal nest material inside the AR-isolation-cup environment, (3) AR-SOCIAL group was reared in the cup with maternal nest material and a conspecific of the same-age and same-sex and received additional tactile stimulation. MR females were reared by their mothers in the nest and with conspecifics. In adulthood, rats were tested for maternal behavior towards their own pups and in a social learning task. Results confirm our previous report that AR impairs performance of maternal behavior and the development of a social food preference. Furthermore, social cues from a littermate, in combination with tactile stimulation and the nest odor, reversed the negative effects of complete isolation (AR-CONTROL) on some of the above behaviors. Exposure to the odor alone also had effects on some of these olfactory-mediated behaviors. These studies indicate that social stimulation from littermates during the preweaning period, in combination with odor from the nest and tactile stimulation, contributes to the development of affiliative behaviors. Copyright (c) 2006 Wiley Periodicals, Inc.

  16. Differential roles of nonsynaptic and synaptic plasticity in operant reward learning-induced compulsive behavior.

    Science.gov (United States)

    Sieling, Fred; Bédécarrats, Alexis; Simmers, John; Prinz, Astrid A; Nargeot, Romuald

    2014-05-05

    Rewarding stimuli in associative learning can transform the irregularly and infrequently generated motor patterns underlying motivated behaviors into output for accelerated and stereotyped repetitive action. This transition to compulsive behavioral expression is associated with modified synaptic and membrane properties of central neurons, but establishing the causal relationships between cellular plasticity and motor adaptation has remained a challenge. We found previously that changes in the intrinsic excitability and electrical synapses of identified neurons in Aplysia's central pattern-generating network for feeding are correlated with a switch to compulsive-like motor output expression induced by in vivo operant conditioning. Here, we used specific computer-simulated ionic currents in vitro to selectively replicate or suppress the membrane and synaptic plasticity resulting from this learning. In naive in vitro preparations, such experimental manipulation of neuronal membrane properties alone increased the frequency but not the regularity of feeding motor output found in preparations from operantly trained animals. On the other hand, changes in synaptic strength alone switched the regularity but not the frequency of feeding output from naive to trained states. However, simultaneously imposed changes in both membrane and synaptic properties reproduced both major aspects of the motor plasticity. Conversely, in preparations from trained animals, experimental suppression of the membrane and synaptic plasticity abolished the increase in frequency and regularity of the learned motor output expression. These data establish direct causality for the contributions of distinct synaptic and nonsynaptic adaptive processes to complementary facets of a compulsive behavior resulting from operant reward learning. Copyright © 2014 Elsevier Ltd. All rights reserved.

  17. Machine-learning-based calving prediction from activity, lying, and ruminating behaviors in dairy cattle.

    Science.gov (United States)

    Borchers, M R; Chang, Y M; Proudfoot, K L; Wadsworth, B A; Stone, A E; Bewley, J M

    2017-07-01

    The objective of this study was to use automated activity, lying, and rumination monitors to characterize prepartum behavior and predict calving in dairy cattle. Data were collected from 20 primiparous and 33 multiparous Holstein dairy cattle from September 2011 to May 2013 at the University of Kentucky Coldstream Dairy. The HR Tag (SCR Engineers Ltd., Netanya, Israel) automatically collected neck activity and rumination data in 2-h increments. The IceQube (IceRobotics Ltd., South Queensferry, United Kingdom) automatically collected number of steps, lying time, standing time, number of transitions from standing to lying (lying bouts), and total motion, summed in 15-min increments. IceQube data were summed in 2-h increments to match HR Tag data. All behavioral data were collected for 14 d before the predicted calving date. Retrospective data analysis was performed using mixed linear models to examine behavioral changes by day in the 14 d before calving. Bihourly behavioral differences from baseline values over the 14 d before calving were also evaluated using mixed linear models. Changes in daily rumination time, total motion, lying time, and lying bouts occurred in the 14 d before calving. In the bihourly analysis, extreme values for all behaviors occurred in the final 24 h, indicating that the monitored behaviors may be useful in calving prediction. To determine whether technologies were useful at predicting calving, random forest, linear discriminant analysis, and neural network machine-learning techniques were constructed and implemented using R version 3.1.0 (R Foundation for Statistical Computing, Vienna, Austria). These methods were used on variables from each technology and all combined variables from both technologies. A neural network analysis that combined variables from both technologies at the daily level yielded 100.0% sensitivity and 86.8% specificity. A neural network analysis that combined variables from both technologies in bihourly increments was

  18. Positive Education for Young Children: Effects of a Positive Psychology Intervention for Preschool Children on Subjective Well Being and Learning Behaviors

    Directory of Open Access Journals (Sweden)

    Anat Shoshani

    2017-10-01

    Full Text Available Despite the flourishing in recent years in applications of positive psychology in the field of education, there is a paucity of research investigating positive psychology interventions for preschool children. The present study examined the effects of a positive psychology-based intervention conducted in Israel on children’s subjective well-being, mental health and learning behaviors. Twelve preschool classrooms of 3–6.5 year-olds were randomly assigned to a positive psychology intervention condition or a wait-list control condition. In the intervention condition, during one school year, 160 children experienced eight modules of basic concepts in positive psychology that were adapted to the developmental characteristics of young children and were compared to 155 children in demographically similar control classrooms. Children were administered a pre-test and post-test of subjective well-being measures. In addition, children’s mental health and emotional well-being were measured by parental questionnaires. Preschool teachers completed questionnaires concerning children’s learning behaviors. The findings showed significant increases in subjective well-being and positive learning behaviors among the intervention participants, with no significant changes in the control group. The results highlight the potential of positive psychology interventions for increasing subjective well-being and a positive approach to learning at young ages.

  19. Developmental song learning as a model to understand neural mechanisms that limit and promote the ability to learn.

    Science.gov (United States)

    London, Sarah E

    2017-11-20

    Songbirds famously learn their vocalizations. Some species can learn continuously, others seasonally, and still others just once. The zebra finch (Taeniopygia guttata) learns to sing during a single developmental "Critical Period," a restricted phase during which a specific experience has profound and permanent effects on brain function and behavioral patterns. The zebra finch can therefore provide fundamental insight into features that promote and limit the ability to acquire complex learned behaviors. For example, what properties permit the brain to come "on-line" for learning? How does experience become encoded to prevent future learning? What features define the brain in receptive compared to closed learning states? This piece will focus on epigenomic, genomic, and molecular levels of analysis that operate on the timescales of development and complex behavioral learning. Existing data will be discussed as they relate to Critical Period learning, and strategies for future studies to more directly address these questions will be considered. Birdsong learning is a powerful model for advancing knowledge of the biological intersections of maturation and experience. Lessons from its study not only have implications for understanding developmental song learning, but also broader questions of learning potential and the enduring effects of early life experience on neural systems and behavior. Copyright © 2017. Published by Elsevier B.V.

  20. A Quasi-Linear Behavioral Model and an Application to Self-Directed Learning

    Science.gov (United States)

    Ponton, Michael K.; Carr, Paul B.

    1999-01-01

    A model is presented that describes the relationship between one's knowledge of the world and the concomitant personal behaviors that serve as a mechanism to obtain desired outcomes. Integrated within this model are the differing roles that outcomes serve as motivators and as modifiers to one's worldview. The model is dichotomized between general and contextual applications. Because learner self-directedness (a personal characteristic) involves cognition and affection while self-directed learning (a pedagogic process) encompasses conation, behavior and introspection, the model can be dichotomized again in another direction. Presented also are the roles that cognitive motivation theories play in moving an individual through this behavioral model and the roles of wishes, self-efficacy, opportunity and self-influence.

  1. Deep learning for constructing microblog behavior representation to identify social media user’s personality

    Directory of Open Access Journals (Sweden)

    Xiaoqian Liu

    2016-09-01

    Full Text Available Due to the rapid development of information technology, the Internet has gradually become a part of everyday life. People would like to communicate with friends to share their opinions on social networks. The diverse behavior on socials networks is an ideal reflection of users’ personality traits. Existing behavior analysis methods for personality prediction mostly extract behavior attributes with heuristic analysis. Although they work fairly well, they are hard to extend and maintain. In this paper, we utilize a deep learning algorithm to build a feature learning model for personality prediction, which could perform an unsupervised extraction of the Linguistic Representation Feature Vector (LRFV activity without supervision from text actively published on the Sina microblog. Compared with other feature extractsion methods, LRFV, as an abstract representation of microblog content, could describe a user’s semantic information more objectively and comprehensively. In the experiments, the personality prediction model is built using a linear regression algorithm, and different attributes obtained through different feature extraction methods are taken as input of the prediction model, respectively. The results show that LRFV performs better in microblog behavior descriptions, and improves the performance of the personality prediction model.

  2. Calcium imaging of basal forebrain activity during innate and learned behaviors

    Directory of Open Access Journals (Sweden)

    Thomas Clarke Harrison

    2016-05-01

    Full Text Available The basal forebrain (BF plays crucial roles in arousal, attention, and memory, and its impairment is associated with a variety of cognitive deficits. The BF consists of cholinergic, GABAergic, and glutamatergic neurons. Electrical or optogenetic stimulation of BF cholinergic neurons enhances cortical processing and behavioral performance, but the natural activity of these cells during behavior is only beginning to be characterized. Even less is known about GABAergic and glutamatergic neurons. Here, we performed microendoscopic calcium imaging of BF neurons as mice engaged in spontaneous behaviors in their home cages (innate or performed a go/no-go auditory discrimination task (learned. Cholinergic neurons were consistently excited during movement, including running and licking, but GABAergic and glutamatergic neurons exhibited diverse responses. All cell types were activated by overt punishment, either inside or outside of the discrimination task. These findings reveal functional similarities and distinctions between BF cell types during both spontaneous and task-related behaviors.

  3. Identifying Configurations of Perceived Teacher Autonomy Support and Structure: Associations with Self-Regulated Learning, Motivation and Problem Behavior

    Science.gov (United States)

    Vansteenkiste, Maarten; Sierens, Eline; Goossens, Luc; Soenens, Bart; Dochy, Filip; Mouratidis, Athanasios; Aelterman, Nathalie; Haerens, Leen; Beyers, Wim

    2012-01-01

    Grounded in self-determination theory, the aim of this study was (a) to examine naturally occurring configurations of perceived teacher autonomy support and clear expectations (i.e., a central aspect of teacher structure), and (b) to investigate associations with academic motivation, self-regulated learning, and problem behavior. Based on…

  4. Preservice Teachers' Knowledge and Perceptions of Effective Behavior Management Strategies

    Science.gov (United States)

    Nields, Allison N.

    2014-01-01

    This study examined student teachers' perceptions and knowledge of behavior management strategies. A questionnaire that included questions about broad behavior management techniques, behavioral learning theory, and behavior management strategies related to behavioral learning theory was given to sixty-one student teacher candidates at a large…

  5. Examination of the Safety of Pediatric Vaccine Schedules in a Non-Human Primate Model: Assessments of Neurodevelopment, Learning, and Social Behavior

    Science.gov (United States)

    Curtis, Britni; Liberato, Noelle; Rulien, Megan; Morrisroe, Kelly; Kenney, Caroline; Yutuc, Vernon; Ferrier, Clayton; Marti, C. Nathan; Mandell, Dorothy; Burbacher, Thomas M.; Sackett, Gene P.

    2015-01-01

    Background In the 1990s, the mercury-based preservative thimerosal was used in most pediatric vaccines. Although there are currently only two thimerosal-containing vaccines (TCVs) recommended for pediatric use, parental perceptions that vaccines pose safety concerns are affecting vaccination rates, particularly in light of the much expanded and more complex schedule in place today. Objectives The objective of this study was to examine the safety of pediatric vaccine schedules in a non-human primate model. Methods We administered vaccines to six groups of infant male rhesus macaques (n = 12–16/group) using a standardized thimerosal dose where appropriate. Study groups included the recommended 1990s Pediatric vaccine schedule, an accelerated 1990s Primate schedule with or without the measles–mumps–rubella (MMR) vaccine, the MMR vaccine only, and the expanded 2008 schedule. We administered saline injections to age-matched control animals (n = 16). Infant development was assessed from birth to 12 months of age by examining the acquisition of neonatal reflexes, the development of object concept permanence (OCP), computerized tests of discrimination learning, and infant social behavior. Data were analyzed using analysis of variance, multilevel modeling, and survival analyses, where appropriate. Results We observed no group differences in the acquisition of OCP. During discrimination learning, animals receiving TCVs had improved performance on reversal testing, although some of these same animals showed poorer performance in subsequent learning-set testing. Analysis of social and nonsocial behaviors identified few instances of negative behaviors across the entire infancy period. Although some group differences in specific behaviors were reported at 2 months of age, by 12 months all infants, irrespective of vaccination status, had developed the typical repertoire of macaque behaviors. Conclusions This comprehensive 5-year case–control study, which closely examined

  6. Problem based learning and involvement in off campus organization enhance students’ critical participation behavior

    Directory of Open Access Journals (Sweden)

    Endang Lestari

    2009-09-01

    Full Text Available Aim Developing students’ critical thinking and critical participation in solving patients’ as well as a community’s problem should become the concern of medical education. This study aimed to identify several factors related to medical students’ critical participation behavior.Methods The subjects consisted of students of Sultan Agung Medical School (Unissula, year entry 2005, 2006, and 2007. Critical participation behavior was assessed using modified EMI: Critical Thinking Disposition Assessment. Relative risks (RR were calculated using Cox regression analysis with constant time.Results 64,6% (388 out of 600 of the students participated in this study. Those who were involved in PBL for two and three years, rather than one year, had twice as high good critical thinking behavior [adjusted relative risk (RR = 2.07; 95% confidence interval (CI = 1.37–3.14; and RR = 2.33; 95% CI = 155–3.49, respectively.] Students who were more involved in off-campus organizations had a good critical participation behavior; 75% higher than those who were not involved in off-campus organizations (RR = 1.75; 95% CI = 0.99–3.11.Conclusion Besides involving in PBL learning approach, students should be motivated to be involved in off-campus organizations in order to improve their critical participation behavior (Med J Indones 2009;18:215-20Key words: critical participation behavior, PBL, off-campus organization

  7. An ERP study on initial second language vocabulary learning.

    Science.gov (United States)

    Yum, Yen Na; Midgley, Katherine J; Holcomb, Phillip J; Grainger, Jonathan

    2014-04-01

    This study examined the very initial phases of orthographic and semantic acquisition in monolingual native English speakers learning Chinese words under controlled laboratory conditions. Participants engaged in 10 sessions of vocabulary learning, four of which were used to obtain ERPs. Performance in behavioral tests improved over sessions, and these data were used to define fast and slow learners. Most important is that ERPs in the two groups of learners revealed qualitatively distinct learning patterns. Only fast learners showed a left-lateralized increase in N170 amplitude with training. Furthermore, only fast learners showed an increased N400 amplitude with training, with a distinct anterior distribution. Slow learners, on the other hand, showed a posterior positive effect, with increasingly positive-going waveforms in occipital sites as training progressed. Possible mechanisms underlying these qualitative differences are discussed. Copyright © 2014 Society for Psychophysiological Research.

  8. Modeling as a Technique for Promoting Classroom Learning and Prosocial Behavior. Theoretical Paper No. 39.

    Science.gov (United States)

    Frayer, Dorothy A.; Klausmeier, Herbert J.

    Research has shown that a behavior may be acquired through observing and imitating a model. A behavior which has already been acquired may be inhibited, disinhibited, or elicited by observing and imitating. A definition of imitation is given, and the effects of imitation on learning and performance are summarized. Research on factors which affect…

  9. Learning Dynamics in Transformational Change: A Study of Workforce Behavior in the Developing Economies

    Directory of Open Access Journals (Sweden)

    Abdul Majid

    2011-10-01

    Full Text Available Organizational and individual learning are two different concepts in contemporaryorganizational theory. Organizational learning is a difficult concept which needs to be furtherelucidated for organizational practitioner at actual work setting; especially in the developingcountries like Pakistan. This paper reviews the literature on organizational learning intransformational change, and the comparative learning processes in the developed anddeveloping economies. Furthermore, we are dealing here with the proposed learning cycle instrategic change process with special reference to the developing countries.Keywords: Learning cycle, Transformational change, Innovation, Learning Dynamics

  10. The Relationships between Organizational Learning Level, School Effectiveness and Organizational Citizenship Behavior

    Science.gov (United States)

    Alanoglu, Müslim; Demirtas, Zülfü

    2016-01-01

    The aim of this research is to determine the relationships between organizational learning levels of high schools; organizational citizenship behavior of managers and teachers and effective school characteristics of them based on the opinions of managers and teachers. The population of the research consists of managers and teachers serving at high…

  11. Learning Why We Buy: An Experiential Project for the Consumer Behavior Course

    Science.gov (United States)

    Morgan, Felicia N.; McCabe, Deborah Brown

    2012-01-01

    Marketing educators have long recognized the value of engendering students' deep learning of course content via experiential pedagogies. In this article, the authors describe a semester-long, team-based retail audit project that is structured to elicit active student engagement with consumer behavior course material via concrete, hands-on,…

  12. Exploring Instructors' Technology Readiness, Attitudes and Behavioral Intentions towards E-Learning Technologies in Egypt and United Arab Emirates

    Science.gov (United States)

    El Alfy, Shahira; Gómez, Jorge Marx; Ivanov, Danail

    2017-01-01

    This paper explores the association between technology readiness, (a meta-construct consisting of optimism, innovativeness, discomfort, and insecurity), attitude, and behavioral intention towards e-learning technologies adoption within an education institution context. The empirical study data is collected at two private universities located in…

  13. [Study on the correlation between adolescents' emotional and behavioral problems and life events].

    Science.gov (United States)

    Huang, Xue-zhu; Guo, Lan-ting; Tang, Guang-zheng

    2006-03-01

    To study the life events which are correlated with adolescent's emotion and behavior problems, and to provide evidence for clinicians and school staff to develop intervention for those problems. Youth's Self Report (YSR) and Adolescent Self-Rating Life Events Check List (ASLEC) were used to assess adolescent's emotional and behavioral problems and life events by 'spot' study. The referred group consisted of 585 patients from 11 to 18 years old in a Mental Health Centre of West China Hospital of Sichuan University from July in 2002 to March in 2004. Level of IQ was above 5th grade of primary school among the study subjects who were willing to fill in the YSR and ASLEC. The non-referred group was selected in a 1280 students cluster-sample from the schools of Chengdu city, whose sex, age and father's career were matched with the referred group. Variance inflation factor (VIF) was used to verify that there was no collinearity to each other in the 6 factors of ASLEC: interpersonal relationship, learning pressure, being punished, losing good adaptation and other. Linear stepwise regression was adopted. The YSR scores in referred group were higher than those in non-referred group, and the referred group had more emotional and behavioral problems than the non-referred one. Partial correlations ranged from 0.124 to 0.418 in referred group, and from 0.104 to 0.388 in non-referred group. Unsatisfied interpersonal relationship, heavy learning pressure, having been punished and poor adaptation were likely to increase the risk of youth's emotional and behavioral problems. More attention should be paid to help adolescents in the following areas: solving intrapersonal affairs, relieving pressure from learning, avoiding punishment, and improving ability to fit themselves to their surroundings.

  14. Are Learning Logs Related to Procrastination? From the Viewpoint of Self-Regulated Learning

    Science.gov (United States)

    Yamada, Masanori; Oi, Misato; Konomi, Shin'ichi

    2017-01-01

    This study investigated the relationships between self-regulated learning (SRL) awareness, time-management awareness, learning behaviors (report submission), and learning performance. Psychometric data and learning logs for both in-class and out-of-class activities were collected in the lecture course, and their relationships were analyzed using…

  15. Learning Activity Package, Physics 124, (LAP) Studies 45, 47, and 48.

    Science.gov (United States)

    Holland, Bill

    Included are three Learning Activity Packages (LAP) studies for use in high school physics instruction: Time and Measurement Function; Force, Work, and Momentum; and Momentum, Work, and Energy. Each LAP contains a rationale for teaching the material included, student objectives (stated in behavioral terms), a list of resources (readings, problems,…

  16. Small grant management in health and behavioral sciences: Lessons learned.

    Science.gov (United States)

    Sakraida, Teresa J; D'Amico, Jessica; Thibault, Erica

    2010-08-01

    This article describes considerations in health and behavioral sciences small grant management and describes lessons learned during post-award implementation. Using the components by W. Sahlman [Sahlman, W. (1997). How to write a great business plan. Harvard Business Review, 75(4), 98-108] as a business framework, a plan was developed that included (a) building relationships with people in the research program and with external parties providing key resources, (b) establishing a perspective of opportunity for research advancement, (c) identifying the larger context of scientific culture and regulatory environment, and (d) anticipating problems with a flexible response and rewarding teamwork. Small grant management included developing a day-to-day system, building a grant/study program development plan, and initiating a marketing plan. Copyright 2010 Elsevier Inc. All rights reserved.

  17. Online Learning - Between University Studies and Workplace Learning

    DEFF Research Database (Denmark)

    Kolbæk, Ditte; Lundh Snis, Ulrika

    2018-01-01

    —by attending a blended learning course? The study builds on Engeström’s (2001) expansive learning model of two interacting activity systems, namely, the students’ master’s course and their professional work places. The study follows a mixed methods approach and finds that the students integrated requirements......This study explores learning when professionals return to education and use their professional work experience to fulfil their study objectives. The research question is: How do students learn from experiences in two contexts—a master’s course at a university and their organisations of employment...

  18. Learning and exploration in action-perception loops.

    Science.gov (United States)

    Little, Daniel Y; Sommer, Friedrich T

    2013-01-01

    Discovering the structure underlying observed data is a recurring problem in machine learning with important applications in neuroscience. It is also a primary function of the brain. When data can be actively collected in the context of a closed action-perception loop, behavior becomes a critical determinant of learning efficiency. Psychologists studying exploration and curiosity in humans and animals have long argued that learning itself is a primary motivator of behavior. However, the theoretical basis of learning-driven behavior is not well understood. Previous computational studies of behavior have largely focused on the control problem of maximizing acquisition of rewards and have treated learning the structure of data as a secondary objective. Here, we study exploration in the absence of external reward feedback. Instead, we take the quality of an agent's learned internal model to be the primary objective. In a simple probabilistic framework, we derive a Bayesian estimate for the amount of information about the environment an agent can expect to receive by taking an action, a measure we term the predicted information gain (PIG). We develop exploration strategies that approximately maximize PIG. One strategy based on value-iteration consistently learns faster than previously developed reward-free exploration strategies across a diverse range of environments. Psychologists believe the evolutionary advantage of learning-driven exploration lies in the generalized utility of an accurate internal model. Consistent with this hypothesis, we demonstrate that agents which learn more efficiently during exploration are later better able to accomplish a range of goal-directed tasks. We will conclude by discussing how our work elucidates the explorative behaviors of animals and humans, its relationship to other computational models of behavior, and its potential application to experimental design, such as in closed-loop neurophysiology studies.

  19. Learning and exploration in action-perception loops

    Directory of Open Access Journals (Sweden)

    Daniel Ying-Jeh Little

    2013-03-01

    Full Text Available Discovering the structure underlying observed data is a recurring problem in machine learning with important applications in neuroscience. It is also a primary function of the brain. When data can be actively collected in the context of a closed action-perception loop, behavior becomes a critical determinant of learning efficiency. Psychologists studying exploration and curiosity in humans and animals have long argued that learning itself is a primary motivator of behavior. However, the theoretical basis of learning-driven behavior is not well understood. Previous computational studies of behavior have largely focused on the control problem of maximizing acquisition of rewards and have treated learning the structure of data as a secondary objective. Here, we study exploration in the absence of external reward feedback. Instead, we take the quality of an agent's learned internal model to be the primary objective. In a simple probabilistic framework, we derive a Bayesian estimate for the amount of information about the environment an agent can expect to receive by taking an action, a measure we term the predicted information gain (PIG. We develop exploration strategies that approximately maximize PIG. One strategy based on value-iteration consistently learns faster, across a diverse range of environments, than previously developed reward-free exploration strategies. Psychologists believe the evolutionary advantage of learning-driven exploration lies in the generalized utility of an accurate internal model. Consistent with this hypothesis, we demonstrate that agents which learn more efficiently during exploration are later better able to accomplish a range of goal-directed tasks. We will conclude by discussing how our work elucidates the explorative behaviors of animals and humans, its relationship to other computational models of behavior, and its potential application to experimental design, such as in closed-loop neurophysiology studies.

  20. Can Future Managers and Business Executives be Influenced to Behave more Ethically in the Workplace? The Impact of Approaches to Learning on Business Students’ Cheating Behavior

    OpenAIRE

    Ballantine, Joan A.; Guo, Xin; Larres, Patricia

    2016-01-01

    This study considers the potential for influencing business students to become ethical managers by directing their undergraduate learning environment. In particular, the relationship between business students’ academic cheating, as a predictor of workplace ethical behavior, and their approaches to learning is explored. The three approaches to learning identified from the students’ approaches to learning literature are deep approach, represented by an intrinsic interest in and a desire to unde...

  1. Effects of apomorphine on the expression of learned helplessness behavior.

    Science.gov (United States)

    Wang, Wen-Fu; Lei, Yen-Ping; Tseng, Ting; Hsu, Wen-Yu; Wang, Ching-Fu; Hsu, Cheng-Chin; Ho, Ying-Jui

    2007-04-30

    Dopaminergic system and its D1 as well as D2 receptors are involved in the modulation of emotional behavior. This experiment investigated the role of dopaminergic activity in the inescapable stress-induced learned helplessness, a widely used depression animal model, by using the pharmacological manipulation through the apomorphine (APO), an agonist for D1 and D2 receptors, and sulpiride (SUL), a selective D2 antagonist. Male Sprague Dawley rats were used and tested in a shuttle box. In the day-1 session, the rats received a 10-trial (1 min/trial) inescapable stressor: a 3 sec conditioned stimulus (CS; 75 db sound and 250 lux red light) followed by a 10 sec unconditioned stimulus (UCS; electrical foot shock, 0.5 mA). In the day-2 session, a 15-trial active avoidance test, 3 sec CS followed by UCS, was performed 30 min after the administration of APO (0, 0.05, 0.5, 1, and 5 mg/kg, i.p.). The number of failures was counted and the UCS was stopped when the rats did not escape after 15 sec UCS. The results showed that APO at the dosage of 0.5 mg/kg had a tendency to enhance the avoidance behavior. In contrast, the treatment of higher dose of APO, 1 and 5 mg/kg, reduced the number of escape but increased the number of failure. Pretreatment of SUL (5 mg/kg, i.p.), 10 min before 1 mg/kg of APO, significantly enhanced the failure behavior. The present data suggest that the activity of D2 receptor may be associated with the adaptive or protective role in the prevention of escape deficits after exposure to inescapable stress. However, the excessive stimulation of D1 receptor may participate in the failure of coping behavior leading to learned helplessness and therefore in the pathophysiological mechanisms underling the development of depression.

  2. How health behaviors relate to academic performance via affect: an intensive longitudinal study.

    Directory of Open Access Journals (Sweden)

    Lavinia Flueckiger

    Full Text Available OBJECTIVE: This intensive longitudinal study examined how sleep and physical activity relate to university students' affect and academic performance during a stressful examination period. METHODS: On 32 consecutive days, 72 first-year students answered online questionnaires on their sleep quality, physical activity, positive and negative affect, learning goal achievement, and examination grades. First-year university students are particularly well-suited to test our hypotheses: They represent a relatively homogeneous population in a natural, but controlled setting, and simultaneously deal with similar stressors, such as examinations. Data were analyzed using multilevel structural equation models. RESULTS: Over the examination period, better average sleep quality but not physical activity predicted better learning goal achievement. Better learning goal achievement was associated with increased probability of passing all examinations. Relations of average sleep quality and average physical activity with learning goal achievement were mediated by experienced positive affect. In terms of day-to-day dynamics, on days with better sleep quality, participants reported better learning goal achievement. Day-to-day physical activity was not related to daily learning goal achievement. Daily positive and negative affect both mediated the effect of day-to-day sleep quality and physical activity on daily learning goal achievement. CONCLUSION: Health behaviors such as sleep quality and physical activity seem important for both academic performance and affect experience, an indicator of mental health, during a stressful examination period. These results are a first step toward a better understanding of between- and within-person variations in health behaviors, affect, and academic performance, and could inform prevention and intervention programs for university students.

  3. How health behaviors relate to academic performance via affect: an intensive longitudinal study.

    Science.gov (United States)

    Flueckiger, Lavinia; Lieb, Roselind; Meyer, Andrea H; Mata, Jutta

    2014-01-01

    This intensive longitudinal study examined how sleep and physical activity relate to university students' affect and academic performance during a stressful examination period. On 32 consecutive days, 72 first-year students answered online questionnaires on their sleep quality, physical activity, positive and negative affect, learning goal achievement, and examination grades. First-year university students are particularly well-suited to test our hypotheses: They represent a relatively homogeneous population in a natural, but controlled setting, and simultaneously deal with similar stressors, such as examinations. Data were analyzed using multilevel structural equation models. Over the examination period, better average sleep quality but not physical activity predicted better learning goal achievement. Better learning goal achievement was associated with increased probability of passing all examinations. Relations of average sleep quality and average physical activity with learning goal achievement were mediated by experienced positive affect. In terms of day-to-day dynamics, on days with better sleep quality, participants reported better learning goal achievement. Day-to-day physical activity was not related to daily learning goal achievement. Daily positive and negative affect both mediated the effect of day-to-day sleep quality and physical activity on daily learning goal achievement. Health behaviors such as sleep quality and physical activity seem important for both academic performance and affect experience, an indicator of mental health, during a stressful examination period. These results are a first step toward a better understanding of between- and within-person variations in health behaviors, affect, and academic performance, and could inform prevention and intervention programs for university students.

  4. Examining the Effects of Displaying Clicker Voting Results on High School Students' Voting Behaviors, Discussion Processes, and Learning Outcomes

    Science.gov (United States)

    Chien, Yu-Ta; Lee, Yu-Hsien; Li, Tsung-Yen; Chang, Chun-Yen

    2015-01-01

    This study explores the relationship between students' clicking behaviors, discussion processes, learning outcomes, and a prominent feature of clicker systems--the whole class' response results aggregated by clickers in real time. The results indicate that, while teaching Newton's laws of motion, displaying the real-time responses of the whole…

  5. Posthuman learning

    DEFF Research Database (Denmark)

    Hasse, Cathrine

    This book shall explore the concept of learning from the new perspective of the posthuman. The vast majority of cognitive, behavioral and part of the constructionist learning theories operate with an autonomous individual who learn in a world of separate objects. Technology is (if mentioned at all......) understood as separate from the individual learner and perceived as tools. Learning theory has in general not been acknowledging materiality in their theorizing about what learning is. A new posthuman learning theory is needed to keep up with the transformations of human learning resulting from new...... technological experiences. One definition of learning is that it is a relatively permanent change in behavior as the result of experience. During the first half of the twentieth century, two theoretical approaches dominated the domain of learning theory: the schools of thought commonly known as behaviorism...

  6. How customer satisfaction changes behavior: A case study of banking industry

    Directory of Open Access Journals (Sweden)

    Hossein Vazifedoost

    2013-06-01

    Full Text Available An increase on competition industry from one side and the need for customer retention on the other side in banking industry create necessary motivation to learn more about customer behavior. This paper investigated the relationship between seven perspectives of banking services and customers’ attitude towards changing behavior. The seven perspectives included how bank employees’ treat customers, service prices, how to promote and market synergies, place and time to serve customers, products, equipment and process. The proposed study was implemented in two Iranian banks called Mellat and Tejarat in city of Tehran, Iran. The results indicated that all components except one case, which was “how to promote and market synergies” had meaningful and negative relationship with customer behavior.

  7. In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning

    Directory of Open Access Journals (Sweden)

    Vinicius Pegorini

    2015-11-01

    Full Text Available Pattern classification of ingestive behavior in grazing animals has extreme importance in studies related to animal nutrition, growth and health. In this paper, a system to classify chewing patterns of ruminants in in vivo experiments is developed. The proposal is based on data collected by optical fiber Bragg grating sensors (FBG that are processed by machine learning techniques. The FBG sensors measure the biomechanical strain during jaw movements, and a decision tree is responsible for the classification of the associated chewing pattern. In this study, patterns associated with food intake of dietary supplement, hay and ryegrass were considered. Additionally, two other important events for ingestive behavior were monitored: rumination and idleness. Experimental results show that the proposed approach for pattern classification is capable of differentiating the five patterns involved in the chewing process with an overall accuracy of 94%.

  8. In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning.

    Science.gov (United States)

    Pegorini, Vinicius; Karam, Leandro Zen; Pitta, Christiano Santos Rocha; Cardoso, Rafael; da Silva, Jean Carlos Cardozo; Kalinowski, Hypolito José; Ribeiro, Richardson; Bertotti, Fábio Luiz; Assmann, Tangriani Simioni

    2015-11-11

    Pattern classification of ingestive behavior in grazing animals has extreme importance in studies related to animal nutrition, growth and health. In this paper, a system to classify chewing patterns of ruminants in in vivo experiments is developed. The proposal is based on data collected by optical fiber Bragg grating sensors (FBG) that are processed by machine learning techniques. The FBG sensors measure the biomechanical strain during jaw movements, and a decision tree is responsible for the classification of the associated chewing pattern. In this study, patterns associated with food intake of dietary supplement, hay and ryegrass were considered. Additionally, two other important events for ingestive behavior were monitored: rumination and idleness. Experimental results show that the proposed approach for pattern classification is capable of differentiating the five patterns involved in the chewing process with an overall accuracy of 94%.

  9. In Vivo Pattern Classification of Ingestive Behavior in Ruminants Using FBG Sensors and Machine Learning

    OpenAIRE

    Pegorini, Vinicius; Karam, Leandro Zen; Pitta, Christiano Santos Rocha; Cardoso, Rafael; da Silva, Jean Carlos Cardozo; Kalinowski, Hypolito Jos?; Ribeiro, Richardson; Bertotti, F?bio Luiz; Assmann, Tangriani Simioni

    2015-01-01

    Pattern classification of ingestive behavior in grazing animals has extreme importance in studies related to animal nutrition, growth and health. In this paper, a system to classify chewing patterns of ruminants in in vivo experiments is developed. The proposal is based on data collected by optical fiber Bragg grating sensors (FBG) that are processed by machine learning techniques. The FBG sensors measure the biomechanical strain during jaw movements, and a decision tree is responsible for th...

  10. Assessing Student Behaviors and Motivation for Actively Learning Biology

    Science.gov (United States)

    Moore, Michael Edward

    2017-01-01

    Vision and Change states that one of the major changes in the way we design biology courses should be a switch in approach from teacher-centered learning to student-centered learning and identifies active learning as a recommended methods. Studies show performance benefits for students taking courses that use active learning. What is unknown is…

  11. Effect of students' learning styles on classroom performance in problem-based learning.

    Science.gov (United States)

    Alghasham, Abdullah A

    2012-01-01

    Since problem-based learning (PBL) sessions require a combination of active discussion, group interaction, and inductive and reflective thinking, students with different learning styles can be expected to perform differently in the PBL sessions. Using "Learning Style Inventory Questionnaire," students were divided into separate active and reflective learner groups. Tutors were asked to observe and assess the students' behavioral performance during the PBL sessions for a period of 5 weeks. A questionnaire of 24 items was developed to assess students' behavioral performance in PBL sessions. Active students tended to use multiple activities to obtain the needed information were more adjusted to the group norms and regulation and more skillful in using reasoning and problem-solving skills and in participation in discussion. On the other hand, reflective students used independent study more, listened actively and carefully to others and used previously acquired information in the discussion more frequently. Formative assessment quizzes did not indicate better performance of either group. There were no significant gender differences in PBL behavioral performance or quizzes' scores. Active and reflective learners differ in PBL class behavioral performance but not in the formative assessment. We recommend that students should be informed about their learning style and that they should learn strategies to compensate for any lacks in PBL sessions through self-study. Also, educational planners should ensure an adequate mix of students with different learning styles in the PBL groups to achieve PBL desired objectives.

  12. A Study of Work Based Learning For Construction Building Workers

    Science.gov (United States)

    Siregar, Syafiatun

    2018-03-01

    Work-based learning (WBL) is designed to improve the competence of participants. This study aims to apply the WBL and to develop attitudes, knowledge, skills, behaviors, and habits, which in turn can improve the competence of construction workers in the field to be sampled. This research was conducted on building construction workers in Medan City with 30 research subjects. The results showed that the evaluation of learning increased in phase I obtained the difference of the average score of 20.9 (the meeting I) and 25.50 (meeting II). The final result shows that the level of activity and competence increased significantly after WBL

  13. [Change of hippocampal NMDA receptor and emotional behavior and spatial learning and memory in status epilepticus rat model].

    Science.gov (United States)

    Wang, Wei-Ping; Lou, Yan; Li, Zhen-Zhong; Li, Pan; Duan, Rui-Sheng

    2007-02-01

    SD rats were utilized for the purpose of the exploration of effects of status epilepticus (SE) on their emotional behavior, spatial learning and memory, and explorating its molecular mechanism. Forty maturity male SD rats, weighing (200 +/- 20) g were divided randomly and equally into SE group (SG) and normal control group (NG). The SG rats were induced by Pentylenetetrazole (PTZ) and the control animals received a saline (0.9%) solution. The change of emotional behavior in two groups were tested in elevated plus maze. Furthermore, Morris water maze was applied to evaluate the effects by SE on spatial learning and memory in rats. At the same time, N-methyl-D-aspartate (NMDA) receptor NR1 subunit mRNA in the hippocampus was determined by reverse transcription polymerase chain reaction (RT-PCR). In elevated plus test, SE rats increased the times of visits as well as the time spent on the open arms of the elevated plus maze (P emotional behavior and damage of spatial learning and memory in rats. NR1 might be involved in the patho- and physiological process in causing these behavioral changes.

  14. Spontaneous revisitation during visual exploration as a link among strategic behavior, learning, and the hippocampus.

    Science.gov (United States)

    Voss, Joel L; Warren, David E; Gonsalves, Brian D; Federmeier, Kara D; Tranel, Dan; Cohen, Neal J

    2011-08-02

    Effective exploratory behaviors involve continuous updating of sensory sampling to optimize the efficacy of information gathering. Despite some work on this issue in animals, little information exists regarding the cognitive or neural mechanisms for this sort of behavioral optimization in humans. Here we examined a visual exploration phenomenon that occurred when human subjects studying an array of objects spontaneously looked "backward" in their scanning paths to view recently seen objects again. This "spontaneous revisitation" of recently viewed objects was associated with enhanced hippocampal activity and superior subsequent memory performance in healthy participants, but occurred only rarely in amnesic patients with severe damage to the hippocampus. These findings demonstrate the necessity of the hippocampus not just in the aspects of long-term memory with which it has been associated previously, but also in the short-term adaptive control of behavior. Functional neuroimaging showed hippocampal engagement occurring in conjunction with frontocerebellar circuits, thereby revealing some of the larger brain circuitry essential for the strategic deployment of information-seeking behaviors that optimize learning.

  15. Medial thalamic 18-FDG uptake following inescapable shock correlates with subsequent learned helpless behavior

    International Nuclear Information System (INIS)

    Mirrione, M.M.; Schulz, D.; Dewey, S.L.; Henn, F.A.

    2009-01-01

    The learned helplessness paradigm has been repeatedly shown to correlate with neurobiological aspects of depression in humans. In this model, rodents are exposed inescapable foot-shock in order to reveal susceptibility to escape deficit, defined as 'learned helplessness' (LH). Few methods are available to probe the neurobiological aspects underlying the differences in susceptibility in the living animal, thus far being limited to studies examining regional neurochemical changes with microdialysis. With the widespread implementation of small animal neuroimaging methods, including positron emission tomography (PET), it is now possible to explore the living brain on a systems level to define regional changes that may correlate with vulnerability to stress. In this study, 12 wild type Sprague-Dawley rats were exposed to 40 minutes of inescapable foot-shock followed by metabolic imaging using 2-deoxy-2[ 18 F]fluoro-D-glucose (18-FDG) 1 hour later. The escape test was performed on these rats 48 hours later (to accommodate radiotracer decay), where they were given the opportunity to press a lever to shut off the shock. A region of interest (ROI) analysis was used to investigate potential correlations (Pearson Regression Coefficients) between regional 18-FDG uptake following inescapable shock and subsequent learned helpless behavior (time to finish the test; number of successful lever presses within 20 seconds of shock onset). ROI analysis revealed a significant positive correlation between time to finish and 18-FDG uptake, and a negative correlation between lever presses and uptake, in the medial thalamic area (p=0.033, p=0.036). This ROI included the paraventricular thalamus, mediodorsal thalamus, and the habenula. In an effort to account for possible spillover artifact, the posterior thalamic area (including ventral medial and lateral portions) was also evaluated but did not reveal significant correlations (p=0.870, p=0.897). No other significant correlations were found

  16. Effectiveness of an individual, online e-learning program about sexually transmitted infections: a prospective cohort study.

    Science.gov (United States)

    Bos-Bonnie, Linda H A; van Bergen, Jan E A M; Te Pas, Ellen; Kijser, Michael A; van Dijk, Nynke

    2017-04-24

    Primary health-care professionals play an important role in the treatment and prevention of Sexually Transmitted Infections (STI). Continuing Medical Education (CME)-courses can influence the knowledge and behavior of health-care professionals concerning STI. We performed a prospective cohort study to evaluate if the individual and online e-learning program "The STI-consultation", which uses the Commitment-to-Change (CtC)-method, is able to improve the knowledge, attitude and behavior of Dutch General Practitioners (GPs), concerning the STI-consultation. This e-learning program is an individual, accredited, online CME-program, which is freely available for all GPs and GP-trainees in the Netherlands. In total 2192 participants completed the questionnaire before completing the e-learning program and 249 participants completed the follow-up questionnaire after completing the e-learning program. The effect of the program on their knowledge, attitude and behavior concerning the STI-consultation was evaluated. In total 193 participants formulated 601 learning points that matched the learning objectives of the program. The knowledge and attitude of the participants improved, which persisted up to two years after completing the program. Another 179 participants formulated a total of 261 intended changes concerning the sexual history taking, additional investigation and treatment of STI, 97.2% of these changes was partially or fully implemented in daily practice. Also, 114 participants formulated a total of 180 "unintended" changes in daily practice. These changes concerned the attitude of participants towards STI and the working conditions concerning the STI-consultation. The individual, online e-learning program "The STI-consultation", which uses the CtC-method, has a small but lasting, positive effect on the knowledge, attitude, and behavior of GPs concerning the STI-consultation.

  17. Community Tracking in a cMOOC and Nomadic Learner Behavior Identification on a Connectivist Rhizomatic Learning Network

    Science.gov (United States)

    Bozkurt, Aras; Honeychurch, Sarah; Caines, Autumm; Bali, Maha; Koutropoulos, Apostolos; Cormier, Dave

    2016-01-01

    This article contributes to the literature on connectivism, connectivist MOOCs (cMOOCs) and rhizomatic learning by examining participant interactions, community formation and nomadic learner behavior in a particular cMOOC, #rhizo15, facilitated for 6 weeks by Dave Cormier. It further focuses on what we can learn by observing Twitter interactions…

  18. Modulation of innate and learned sexual behaviors by the TRP channel Painless expressed in the fruit fly brain: behavioral genetic analysis and its implications

    Directory of Open Access Journals (Sweden)

    Shoma eSato

    2014-12-01

    Full Text Available Transient receptor potential (TRP channels have attracted considerable attention because of their vital roles in primary sensory neurons, mediating responses to a wide variety of external environmental stimuli. However, much less is known about how TRP channels in the brain respond to intrinsic signals and are involved in neurophysiological processes that control complex behaviors. Painless (Pain is the Drosophila TRP channel that was initially identified as a molecular sensor responsible for detecting noxious thermal and mechanical stimuli. Here, we review recent behavioral genetic studies demonstrating that Pain expressed in the brain plays a critical role in both innate and learned aspects of sexual behaviors. Several members of the TRP channel superfamily play evolutionarily conserved roles in sensory neurons as well as in other peripheral tissues. It is thus expected that brain TRP channels in vertebrates and invertebrates would have some common physiological functions. Studies of Pain in the Drosophila brain using a unique combination of genetics and physiological techniques should provide valuable insights into the fundamental principles concerning TRP channels expressed in the vertebrate and invertebrate brains.

  19. Development of vicarious trial-and-error behavior in odor discrimination learning in the rat: relation to hippocampal function?

    Science.gov (United States)

    Hu, D; Griesbach, G; Amsel, A

    1997-06-01

    Previous work from our laboratory has suggested that hippocampal electrolytic lesions result in a deficit in simultaneous, black-white discrimination learning and reduce the frequency of vicarious trial-and-error (VTE) at a choice-point. VTE is a term Tolman used to describe the rat's conflict-like behavior, moving its head from one stimulus to the other at a choice point, and has been proposed as a major nonspatial feature of hippocampal function in both visual and olfactory discrimination learning. Simultaneous odor discrimination and VTE behavior were examined at three different ages. The results were that 16-day-old pups made fewer VTEs and learned much more slowly than 30- and 60-day-olds, a finding in accord with levels of hippocampal maturity in the rat.

  20. The Present State of Behaviorism

    Science.gov (United States)

    Mowrer, O. Hobart

    1976-01-01

    Assesses the present status of behaviorism by dividing this study into an evaluation of Behaviorism 1, based explicitly on Pavlov's conception of conditioned-response learning, and Behaviorism 11, single-handedly launched and almost completely dominanted by Professor B. F. Skinner. (Author/RK)

  1. Study of Environmental Data Complexity using Extreme Learning Machine

    Science.gov (United States)

    Leuenberger, Michael; Kanevski, Mikhail

    2017-04-01

    The main goals of environmental data science using machine learning algorithm deal, in a broad sense, around the calibration, the prediction and the visualization of hidden relationship between input and output variables. In order to optimize the models and to understand the phenomenon under study, the characterization of the complexity (at different levels) should be taken into account. Therefore, the identification of the linear or non-linear behavior between input and output variables adds valuable information for the knowledge of the phenomenon complexity. The present research highlights and investigates the different issues that can occur when identifying the complexity (linear/non-linear) of environmental data using machine learning algorithm. In particular, the main attention is paid to the description of a self-consistent methodology for the use of Extreme Learning Machines (ELM, Huang et al., 2006), which recently gained a great popularity. By applying two ELM models (with linear and non-linear activation functions) and by comparing their efficiency, quantification of the linearity can be evaluated. The considered approach is accompanied by simulated and real high dimensional and multivariate data case studies. In conclusion, the current challenges and future development in complexity quantification using environmental data mining are discussed. References - Huang, G.-B., Zhu, Q.-Y., Siew, C.-K., 2006. Extreme learning machine: theory and applications. Neurocomputing 70 (1-3), 489-501. - Kanevski, M., Pozdnoukhov, A., Timonin, V., 2009. Machine Learning for Spatial Environmental Data. EPFL Press; Lausanne, Switzerland, p.392. - Leuenberger, M., Kanevski, M., 2015. Extreme Learning Machines for spatial environmental data. Computers and Geosciences 85, 64-73.

  2. Conditioning of appetitive behavior in the Hymenopteran parasitoid Microplitis croceipes

    NARCIS (Netherlands)

    Wäckers, F.; Bonifay, C.; Lewis, W.J.

    2002-01-01

    Work on insect learning has made ample use of conditioned behaviors in single learning tasks. Parasitic wasps are particularly suited to study more complex learning processes, as they alternate between host searching and foraging for sugar sources. We here describe a set of behaviors that

  3. A Model for the Transfer of Perceptual-Motor Skill Learning in Human Behaviors

    Science.gov (United States)

    Rosalie, Simon M.; Muller, Sean

    2012-01-01

    This paper presents a preliminary model that outlines the mechanisms underlying the transfer of perceptual-motor skill learning in sport and everyday tasks. Perceptual-motor behavior is motivated by performance demands and evolves over time to increase the probability of success through adaptation. Performance demands at the time of an event…

  4. Mediators of the Risk for Problem Behavior in Children with Language Learning Disabilities.

    Science.gov (United States)

    Vallance, Denise D.; Cummings, Richard L.; Humphries, Tom

    1998-01-01

    The independent and relative influences of social discourse and social skills on problem behaviors were examined in 50 children with language learning disabilities (LLD) and 50 control children. Hierarchical regression analyses revealed that both impaired social discourse skills and poor social skills accounted for the negative effects of LLD on…

  5. Battery of behavioral tests in mice to study postoperative delirium

    Science.gov (United States)

    Peng, Mian; Zhang, Ce; Dong, Yuanlin; Zhang, Yiying; Nakazawa, Harumasa; Kaneki, Masao; Zheng, Hui; Shen, Yuan; Marcantonio, Edward R.; Xie, Zhongcong

    2016-01-01

    Postoperative delirium is associated with increased morbidity, mortality and cost. However, its neuropathogenesis remains largely unknown, partially owing to lack of animal model(s). We therefore set out to employ a battery of behavior tests, including natural and learned behavior, in mice to determine the effects of laparotomy under isoflurane anesthesia (Anesthesia/Surgery) on these behaviors. The mice were tested at 24 hours before and at 6, 9 and 24 hours after the Anesthesia/Surgery. Composite Z scores were calculated. Cyclosporine A, an inhibitor of mitochondria permeability transient pore, was used to determine potential mitochondria-associated mechanisms of these behavioral changes. Anesthesia/Surgery selectively impaired behaviors, including latency to eat food in buried food test, freezing time and time spent in the center in open field test, and entries and duration in the novel arm of Y maze test, with acute onset and various timecourse. The composite Z scores quantitatively demonstrated the Anesthesia/Surgery-induced behavior impairment in mice. Cyclosporine A selectively ameliorated the Anesthesia/Surgery-induced reduction in ATP levels, the increases in latency to eat food, and the decreases in entries in the novel arm. These findings suggest that we could use a battery of behavior tests to establish a mouse model to study postoperative delirium. PMID:27435513

  6. Gender differences in an elementary school learning environment: A study on how girls learn science in collaborative learning groups

    Science.gov (United States)

    Greenspan, Yvette Frank

    Girls are marked by low self-confidence manifested through gender discrimination during the early years of socialization and culturalization (AAUW, 1998). The nature of gender bias affects all girls in their studies of science and mathematics, particularly in minority groups, during their school years. It has been found that girls generally do not aspire in either mathematical or science-oriented careers because of such issues as overt and subtle stereotyping, inadequate confidence in ability, and discouragement in scientific competence. Grounded on constructivism, a theoretical framework, this inquiry employs fourth generation evaluation, a twelve-step evaluative process (Guba & Lincoln, 1989). The focus is to discover through qualitative research how fifth grade girls learn science in a co-sexual collaborative learning group, as they engage in hands-on, minds-on experiments. The emphasis is centered on one Hispanic girl in an effort to understand her beliefs, attitudes, and behavior as she becomes a stakeholder with other members of her six person collaborative learning group. The intent is to determine if cultural and social factors impact the learning of scientific concepts based on observations from videotapes, interviews, and student opinion questionnaires. QSR NUD*IST 4, a computer software program is utilized to help categorize and index data. Among the findings, there is evidence that clearly indicates girls' attitudes toward science are altered as they interact with other girls and boys in a collaborative learning group. Observations also indicate that cultural and social factors affect girls' performance as they explore and discover scientific concepts with other girls and boys. Based upon what I have uncovered utilizing qualitative research and confirmed according to current literature, there seems to be an appreciable impact on the way girls appear to learn science. Rooted in the data, the results mirror the conclusions of previous studies, which

  7. COOPERATIVE LEARNING IN DISTANCE LEARNING: A MIXED METHODS STUDY

    Directory of Open Access Journals (Sweden)

    Lori Kupczynski

    2012-07-01

    Full Text Available Distance learning has facilitated innovative means to include Cooperative Learning (CL in virtual settings. This study, conducted at a Hispanic-Serving Institution, compared the effectiveness of online CL strategies in discussion forums with traditional online forums. Quantitative and qualitative data were collected from 56 graduate student participants. Quantitative results revealed no significant difference on student success between CL and Traditional formats. The qualitative data revealed that students in the cooperative learning groups found more learning benefits than the Traditional group. The study will benefit instructors and students in distance learning to improve teaching and learning practices in a virtual classroom.

  8. Bisphenol A, phthalates and lead and learning and behavioral problems in Canadian children 6-11 years of age: CHMS 2007-2009.

    Science.gov (United States)

    Arbuckle, Tye E; Davis, Karelyn; Boylan, Khrista; Fisher, Mandy; Fu, Jingshan

    2016-05-01

    Childhood developmental disorders and related problems such as learning disabilities and attention deficit hyperactivity disorder (ADHD) account for a growing burden on the family, education and health care systems. Exposure to environmental chemicals such as bisphenol A (BPA) and phthalates may play a role in the development of child behavioral problems. Using cross-sectional data from Cycle 1 of the Canadian Health Measures Survey (CHMS), we examined the potential association between urinary concentrations of BPA and various phthalate metabolites and child learning and behavioral problems, considering important covariates such as gender, blood lead and environmental tobacco smoke (ETS). The Strengths and Difficulties Questionnaire (SDQ) outcomes of interest were emotional symptoms, hyperactivity/inattention, and a total difficulties score with borderline and abnormal scores grouped together and compared with children with normal scores. Other outcomes studied included any reported learning disability, a subset of learning disabilities reported as ADD/ADHD (attention deficit disorder) and use of psychotropic medications in the past month. Among children ages 6-11 years, the prevalences of any learning disability, ADD, and ADHD were 8.7%, 1.5% and 2.8%, respectively. Estimated prevalences for SDQ hyperactivity/inattention, emotional symptoms and total difficulties scores were 16.9%, 15.0%, and 13.0%, respectively. Child's urinary BPA was associated with taking psychotropic medications (OR 1.59; 95% CI 1.05-2.40). Urinary MBzP concentration was significantly associated with emotional symptoms in girls (OR 1.38 95% CI 1.09-1.75) but not in boys (OR 1.05 95% CI 0.82-1.36).) Blood lead was significantly associated with several of the outcomes examined, with a significant interaction observed between prenatal smoking and blood lead for the total difficulties score (OR=10.57; 95% CI 2.81-39.69 vs. OR=1.98; 95% CI 1.41-2.79 if mother did not smoke during pregnancy

  9. Behavioral Modeling for Mental Health using Machine Learning Algorithms.

    Science.gov (United States)

    Srividya, M; Mohanavalli, S; Bhalaji, N

    2018-04-03

    Mental health is an indicator of emotional, psychological and social well-being of an individual. It determines how an individual thinks, feels and handle situations. Positive mental health helps one to work productively and realize their full potential. Mental health is important at every stage of life, from childhood and adolescence through adulthood. Many factors contribute to mental health problems which lead to mental illness like stress, social anxiety, depression, obsessive compulsive disorder, drug addiction, and personality disorders. It is becoming increasingly important to determine the onset of the mental illness to maintain proper life balance. The nature of machine learning algorithms and Artificial Intelligence (AI) can be fully harnessed for predicting the onset of mental illness. Such applications when implemented in real time will benefit the society by serving as a monitoring tool for individuals with deviant behavior. This research work proposes to apply various machine learning algorithms such as support vector machines, decision trees, naïve bayes classifier, K-nearest neighbor classifier and logistic regression to identify state of mental health in a target group. The responses obtained from the target group for the designed questionnaire were first subject to unsupervised learning techniques. The labels obtained as a result of clustering were validated by computing the Mean Opinion Score. These cluster labels were then used to build classifiers to predict the mental health of an individual. Population from various groups like high school students, college students and working professionals were considered as target groups. The research presents an analysis of applying the aforementioned machine learning algorithms on the target groups and also suggests directions for future work.

  10. A Comparative Study of Vygotsky's Perspectives on Child Language Development with Nativism and Behaviorism

    Science.gov (United States)

    Dastpak, Mehdi; Behjat, Fatemeh; Taghinezhad, Ali

    2017-01-01

    This study aimed at investigating the similarities and differences between Vygotsky's perspectives on child language development with nativism and behaviorism. Proposing the idea of the Zone of Proximal Development, Vygotsky emphasized the role of collaborative interaction, scaffolding, and guided participation in language learning. Nativists, on…

  11. Human place and response learning: navigation strategy selection, pupil size and gaze behavior.

    Science.gov (United States)

    de Condappa, Olivier; Wiener, Jan M

    2016-01-01

    In this study, we examined the cognitive processes and ocular behavior associated with on-going navigation strategy choice using a route learning paradigm that distinguishes between three different wayfinding strategies: an allocentric place strategy, and the egocentric associative cue and beacon response strategies. Participants approached intersections of a known route from a variety of directions, and were asked to indicate the direction in which the original route continued. Their responses in a subset of these test trials allowed the assessment of strategy choice over the course of six experimental blocks. The behavioral data revealed an initial maladaptive bias for a beacon response strategy, with shifts in favor of the optimal configuration place strategy occurring over the course of the experiment. Response time analysis suggests that the configuration strategy relied on spatial transformations applied to a viewpoint-dependent spatial representation, rather than direct access to an allocentric representation. Furthermore, pupillary measures reflected the employment of place and response strategies throughout the experiment, with increasing use of the more cognitively demanding configuration strategy associated with increases in pupil dilation. During test trials in which known intersections were approached from different directions, visual attention was directed to the landmark encoded during learning as well as the intended movement direction. Interestingly, the encoded landmark did not differ between the three navigation strategies, which is discussed in the context of initial strategy choice and the parallel acquisition of place and response knowledge.

  12. Implication of Dopaminergic Modulation in Operant Reward Learning and the Induction of Compulsive-Like Feeding Behavior in "Aplysia"

    Science.gov (United States)

    Bedecarrats, Alexis; Cornet, Charles; Simmers, John; Nargeot, Romuald

    2013-01-01

    Feeding in "Aplysia" provides an amenable model system for analyzing the neuronal substrates of motivated behavior and its adaptability by associative reward learning and neuromodulation. Among such learning processes, appetitive operant conditioning that leads to a compulsive-like expression of feeding actions is known to be associated…

  13. Behavior Intention To Use Of Learning Management System Among Malaysian Pre-Service Teachers: A Confirmatory Factor Analysis

    Directory of Open Access Journals (Sweden)

    Sousan Baleghi-Zadeh

    2014-01-01

    Full Text Available Learning Management system is a type of Information system that many universities invest on to be integrated with their curriculum. Therefore, factors which make students accept or reject Learning Management System is crucial for educational managers of universities. The main purpose of the present study is to modify and validate a measurement model based on two models of Technology Acceptance Model and Fit Model. The proposed measurement model included five constructs of perceived ease of use, perceived usefulness, behavior intention to use, technical support and task-technology fit. The sample size of the study was 300 pre-service teachers studying at Universiti Putra Malaysia (UPM and Universiti of Malaya (UM. The results of the study revealed that after deleting eleven items, the proposed measurement model was validated and fit. Therefore, the modified measurement model was able to present the theoretical patterns of the actual data.

  14. Comparative Study of Learning Using E-Learning and Printed Materials on Independent Learning and Creativity

    Science.gov (United States)

    Wahyu Utami, Niken; Aziz Saefudin, Abdul

    2018-01-01

    This study aims to determine: 1) differences in students taking independent learning by using e-learning and the students who attend the learning by using the print instructional materials ; 2) differences in the creativity of students who follow learning with e-learning and the students who attend the learning by using the print instructional materials ; 3) differences in learning independence and creativity of students attend learning with e-learning and the students who attend lessons using printed teaching materials in the subject of Mathematics Instructional Media Development. This study was a quasi-experimental research design using only posttest control design. The study population was all students who take courses in Learning Mathematics Media Development, Academic Year 2014/2015 100 students and used a random sample (random sampling) is 60 students. To test the hypothesis used multivariate analysis of variance or multivariable analysis of variance (MANOVA) of the track. The results of this study indicate that 1) There is a difference in student learning independence following study using the e-learning and the students who attend lessons using printed teaching materials in the lecture PMPM ( F = 4.177, p = 0.046 0.05) ; No difference learning independence and creativity of students attend learning by using e-learning and the students who attend the learning using printed teaching materials in the lecture PMPM (F = 2.452, p = 0.095 > 0.05). Based on these studies suggested that the learning using e -learning can be used to develop student creativity, while learning to use e -learning and teaching materials can be printed to use to develop students’ independence.

  15. Force and complexity of tongue task training influences behavioral measures of motor learning

    DEFF Research Database (Denmark)

    Kothari, Mohit; Svensson, Peter; Huo, Xueliang

    2012-01-01

    Relearning of motor skills is important in neurorehabilitation. We investigated the improvement of training success during simple tongue protrusion (two force levels) and a more complex tongue-training paradigm using the Tongue Drive System (TDS). We also compared subject-based reports of fun, pain...... training influences behavioral aspects of tongue motor learning....

  16. A bilingual child learns social communication skills through video modeling-a single case study in a norwegian school setting

    Directory of Open Access Journals (Sweden)

    Meral Özerk

    2015-09-01

    Full Text Available Video modeling is one of the recognized methods used in the training and teaching of children with Autism Spectrum Disorders (ASD. The model’s theoretical base stems from Albert Bandura's (1977; 1986 social learning theory in which he asserts that children can learn many skills and behaviors observationally through modeling. One can assume that by observing others, a child with ASD can construct an idea of how new behaviors are performed, and on later occasions this mentally and visually constructed information will serve as a guide for his/her way of behaving. There are two types of methods for model learning: 1 In Vivo Modeling and 2 Video Modeling. These can be used a to teach children with ASD skills that are not yet in their behavioral repertoire and / or b to improve the children's emerging behaviors or skills. In the case of linguistic minority children at any stage of their bilingual development, it has been presumed that some of their behaviors that can be interpreted as attitude or culture-related actions. This approach, however, can sometimes delay referral, diagnosis, and intervention. In our project, we used Video Modeling and achieved positive results with regard to teaching social communication skills and target behavior to an eleven year-old bilingual boy with ASD. Our study also reveals that through Video Modeling, children with ASD can learn desirable behavioral skills as by-products. Video Modeling can also contribute positively to the social inclusion of bilingual children with ASD in school settings. In other words, bilingual children with ASD can transfer the social communication skills and targeted behaviors they learn through second-language at school to a first-language milieu.

  17. Predicting health-promoting self-care behaviors in people with pre-diabetes by applying Bandura social learning theory.

    Science.gov (United States)

    Chen, Mei-Fang; Wang, Ruey-Hsia; Hung, Shu-Ling

    2015-11-01

    The aim of this study was to apply Bandura social learning theory in a model for identifying personal and environmental factors that predict health-promoting self-care behaviors in people with pre-diabetes. The theoretical basis of health-promoting self-care behaviors must be examined to obtain evidence-based knowledge that can help improve the effectiveness of pre-diabetes care. However, such behaviors are rarely studied in people with pre-diabetes. This quantitative, cross-sectional survey study was performed in a convenience sample of two hospitals in southern Taiwan. Two hundred people diagnosed with pre-diabetes at a single health examination center were recruited. A questionnaire survey was performed to collect data regarding personal factors (i.e., participant characteristics, pre-diabetes knowledge, and self-efficacy) and data regarding environmental factors (i.e., social support and perceptions of empowerment process) that may have associations with health-promoting self-care behaviors in people with pre-diabetes. Multiple linear regression showed that the factors that had the largest influence on the practice of health-promoting self-care behaviors were self-efficacy, diabetes history, perceptions of empowerment process, and pre-diabetes knowledge. These factors explained 59.3% of the variance in health-promoting self-care behaviors. To prevent the development of diabetes in people with pre-diabetes, healthcare professionals should consider both the personal and the environmental factors identified in this study when assessing health promoting self-care behaviors in patients with pre-diabetes and when selecting the appropriate interventions. Copyright © 2015 Elsevier Inc. All rights reserved.

  18. Examining the Usefulness of Student-Produced PSAs to Learn Advocacy in a Human Behavior and the Social Environment Course

    Science.gov (United States)

    Chu, Yee Han; Quinn, Andrew

    2018-01-01

    Advocacy is a complex set of applications that applies knowledge of human behavior in the social environment to promote the rights of others. The purpose of this study was to explore the usefulness of student-created public service announcements (PSAs) to help BSW students learn cause-based advocacy. Our results suggest that assigning a PSA…

  19. Laboratory studies of imitation/field studies of tradition: towards a synthesis in animal social learning.

    Science.gov (United States)

    Galef, Bennett G

    2015-03-01

    Here I discuss: (1) historical precedents that have resulted in comparative psychologists accepting the two-action method as the "gold standard" in laboratory investigations of imitation learning, (2) evidence suggesting that the two-action procedure may not be adequate to answer questions concerning the role of imitation in the development of traditional behaviors of animals living in natural habitat, and (3) an alternative approach to the laboratory study of imitation that might increase the relevance of laboratory studies of imitation to the work of behavioral ecologists/primatologists interested in animal traditions and their relationship to human cumulative culture. This article is part of a Special Issue entitled: Tribute to Tom Zentall. Copyright © 2014 Elsevier B.V. All rights reserved.

  20. The Effects of Institutional Culture on Study Strategies of Hispanic Students as Measured by the "Inventario de Comportamiento de Estudio": The Spanish Version of the "Study Behavior Inventory."

    Science.gov (United States)

    Bliss, Leonard B.; Sandiford, Janice R.

    The study behaviors of Spanish-speaking students at a large two-year public college in the United States were studied using the Inventario de Comportamiento de Estudio (ECI) (L. Bliss, D. Vinay, and F. Koenigner), the Spanish version of the Learning and Study Strategies Inventory (C. Weinstein, 1987). Behaviors of these students were compared with…

  1. Schools' mental health services and young children's emotions, behavior, and learning.

    Science.gov (United States)

    Reback, Randall

    2010-01-01

    Recent empirical research has found that children's noncognitive skills play a critical role in their own success, young children's behavioral and psychological disorders can severely harm their future outcomes, and disruptive students harm the behavior and learning of their classmates. Yet relatively little is known about wide-scale interventions designed to improve children's behavior and mental health. This is the first nationally representative study of the provision, financing, and impact of school-site mental health services for young children. Elementary school counselors are school employees who provide mental health services to all types of students, typically meeting with students one-on-one or in small groups. Given counselors' nonrandom assignment to schools, it is particularly challenging to estimate the impact of these counselors on student outcomes. First, cross-state differences in policies provide descriptive evidence that students in states with more aggressive elementary counseling policies make greater test score gains and are less likely to report internalizing or externalizing problem behaviors compared to students with similar observed characteristics in similar schools in other states. Next, difference-in-differences estimates exploiting both the timing and the targeted grade levels of states' counseling policy changes provide evidence that elementary counselors substantially influence teachers' perceptions of school climate. The adoption of state-funded counselor subsidies or minimum counselor–student ratios reduces the fraction of teachers reporting that their instruction suffers due to student misbehavior and reduces the fractions reporting problems with students physically fighting each other, cutting class, stealing, or using drugs. These findings imply that there may be substantial public and private benefits derived from providing additional elementary school counselors.

  2. Effects of Learning Analytics Dashboard: Analyzing the Relations among Dashboard Utilization, Satisfaction, and Learning Achievement

    Science.gov (United States)

    Kim, Jeonghyun; Jo, Il-Hyun; Park, Yeonjeong

    2016-01-01

    The learning analytics dashboard (LAD) is a newly developed learning support tool for virtual classrooms that is believed to allow students to review their online learning behavior patterns intuitively through the provision of visual information. The purpose of this study was to empirically validate the effects of LAD. An experimental study was…

  3. Role of olfaction in the foraging behavior and trial-and-error learning in short-nosed fruit bat, Cynopterus sphinx.

    Science.gov (United States)

    Zhang, Wei; Zhu, Guangjian; Tan, Liangjing; Yang, Jian; Chen, Yi; Liu, Qi; Shen, Qiqi; Chen, Jinping; Zhang, Libiao

    2014-03-01

    We observed the foraging behavior of short-nosed fruit bats, Cynopterus sphinx, in captivity. The role of olfaction in their foraging behavior was examined using real fruit, mimetic fruit, and mimetic fruit soaked in the juice of real fruit. The results showed that C. sphinx visited the real fruit more often than the mimetic fruit, but they had no preference between real fruit and treated mimetic fruit. Our experiment indicates that this bat has the ability to find and identify fruit by olfaction. We also tested for behavior of trial-and-error learning. Our observations revealed that the bats could form a sensory memory of the olfactory cue (cedar wood oil) after five days of training because they responded to the olfactory cues. Our results provide the evidence that C. sphinx can establish the connection between the fruit and a non-natural odor through learning and memory with the assistance of olfaction, and can thus recognize a variety of odors by trial-and-error learning. This behavioral flexibility based on olfactory cues will be beneficial for the short-nosed fruit bat in foraging. Copyright © 2013 Elsevier B.V. All rights reserved.

  4. The Effect of Mozart's Music on Social Learning Behavior of High School Students

    Science.gov (United States)

    Pelayo, Jose Maria G., III

    2010-01-01

    The researcher acknowledges the importance of creativity and innovation in terms of discovering more methods or strategies on improving intellectual growth of an individual. In this case, the researcher focuses on the Social Learning Behavior of high school students. About 15 years ago, a professor of psychology stirred up the music world with the…

  5. Evaluation of a theory-driven e-learning intervention for future oral healthcare providers on secondary prevention of disordered eating behaviors.

    Science.gov (United States)

    DeBate, Rita D; Severson, Herbert H; Cragun, Deborah L; Gau, Jeff M; Merrell, Laura K; Bleck, Jennifer R; Christiansen, Steve; Koerber, Anne; Tomar, Scott L; McCormack Brown, Kelli R; Tedesco, Lisa A; Hendricson, William

    2013-06-01

    Oral healthcare providers have a clinical opportunity for early detection of disordered eating behaviors because they are often the first health professionals to observe overt oral and physical signs. Curricula regarding early recognition of this oral/systemic medical condition are limited in oral health educational programs. Web-based learning can supplement and reinforce traditional learning and has the potential to develop skills. The study purpose was to determine the efficacy of a theory-driven Web-based training program to increase the capacity of oral health students to perform behaviors related to the secondary prevention of disordered eating behaviors. Using the Reach, Effectiveness, Adoption, Implementation and Maintenance evaluation framework, a longitudinal group-randomized controlled trial involving 27 oral health classes from 12 oral health education programs in the United States was implemented to assess the efficacy of the Web-based training on attitudes, knowledge, self-efficacy and skills related to the secondary prevention of disordered eating behaviors. Mixed-model analysis of covariance indicated substantial improvements among students in the intervention group (effect sizes: 0.51-0.83) on all six outcomes of interest. Results suggest that the Web-based training program may increase the capacity of oral healthcare providers to deliver secondary prevention of disordered eating behaviors. Implications and value of using the Reach, Effectiveness, Adoption, Implementation and Maintenance framework are discussed.

  6. The Importance of Rural, Township, and Urban Life in the Interaction between Social and Emotional Learning and Social Behaviors

    Science.gov (United States)

    Totan, Tarik; Ozyesil, Zümra; Deniz, M. Engin; Kiyar, Fatma

    2014-01-01

    Whether an individual lives in a rural or urban setting may have direct impact on a wide variety of psychological patterns adopted by students. In this study, the effects of positive and negative social behaviors on the relationship between social and emotional learning needs and skills gaps of students who reside in both rural and urban areas…

  7. Student perceptions of their biology teacher's interpersonal teaching behaviors and student achievement and affective learning outcomes

    Science.gov (United States)

    Smith, Wade Clay, Jr.

    The primary goals of this dissertation were to determine the relationships between interpersonal teaching behaviors and student achievement and affective learning outcomes. The instrument used to collect student perceptions of teacher interpersonal teaching behaviors was the Questionnaire on Teacher Interactions (QTI). The instrument used to assess student affective learning outcomes was the Biology Student Affective Instrument (BSAI). The interpersonal teaching behavior data were collected using students as the observers. 111 students in an urban influenced, rural high school answered the QTI and BSAI in September 1997 and again in April 1998. At the same time students were pre and post tested using the Biology End of Course Examination (BECE). The QTI has been used primarily in European and Oceanic areas. The instrument was also primarily used in educational stratified environment. This was the first time the BSAI was used to assess student affective learning outcomes. The BECE is a Texas normed cognitive assessment test and it is used by Texas schools districts as the end of course examination in biology. The interpersonal teaching behaviors model was tested to ascertain if predictive power in the USA and in a non-stratified educational environment. Findings indicate that the QTI is an adequate predictor of student achievement in biology. The results were not congruent with the non-USA data and results, this indicates that the QTI is a society/culturally sensitive instrument and the instrument needs to be normed to a particular society/culture before it is used to affect teachers' and students' educational environments.

  8. TO LEARN FROM TEACHERS AT SCHOOL, IDEAL TEACHER OR E-LEARNING APPLICATIONS FROM THE PERSPECTIVES OF GIFTED STUDENTS

    Directory of Open Access Journals (Sweden)

    Bahadir ERISTI,

    2012-08-01

    Full Text Available The present study, aimed at revealing the views of elementary school gifted students about the roles and behaviors of their teachers in class as well as about the in-class roles and behaviors that they expect from an ideal teacher with respect to different variables. Another question in the study was directed to determine students’ views about learning academic subjects via e-learning applications instead of at teachers. The participants of the study were 46 gifted students identified with the diagnosis system of “Education program for the gifted” executed in the Department of Gifted Education at the Education Faculty of Anadolu University. The research data were collected via a five-point Likert-type scale developed and tested by the researcher for its validity and reliability. For the analysis of the research data, paired sample t-test, one of descriptive parametrical statistical techniques, was applied. The findings obtained in the study revealed that according to gifted students, the in-class behaviors demonstrated by the course teachers were mostly those related to their roles of guidance for students. The behaviors of the course teachers within the scope of this role were followed by those related to providing information and maintaining the discipline, respectively. The behaviors least demonstrated by the teachers were those related to the role of supporting the students and those related to being a model for them. According to the students, an ideal teacher should at most demonstrate behaviors in class regarding the role of guiding the students and those regarding the role of providing information. According to the gifted students, the roles and behaviors of their teachers in class are quite different from the behaviors expected from an ideal teacher. Students do not regard e-learning applications as an alternative to learning from teachers. Rather, they prefer learning from their teachers to technology-aided learning environments

  9. Effective teaching in case-based education: Patterns in teacher behavior and their impact on the students’ clinical problem solving and learning

    NARCIS (Netherlands)

    Ramaekers, S.P.J.|info:eu-repo/dai/nl/304827630; van Keulen, J.|info:eu-repo/dai/nl/138693587; Kremer, W.D.J.|info:eu-repo/dai/nl/073488062; Pilot, A.|info:eu-repo/dai/nl/068350880; van Beukelen, P.|info:eu-repo/dai/nl/069837635

    2011-01-01

    Case-based learning formats, in which relevant case information is provided just in time, require teachers to combine their scaffolding role with an information-providing one. The objective of this study is to establish how this combination of roles affects teacher behavior and that, in turn,

  10. Search for an Appropriate Behavior within the Emotional Regulation in Virtual Creatures Using a Learning Classifier System.

    Science.gov (United States)

    Rosales, Jonathan-Hernando; Ramos, Félix; Ramos, Marco; Cervantes, José-Antonio

    2017-01-01

    Emotion regulation is a process by which human beings control emotional behaviors. From neuroscientific evidence, this mechanism is the product of conscious or unconscious processes. In particular, the mechanism generated by a conscious process needs a priori components to be computed. The behaviors generated by previous experiences are among these components. These behaviors need to be adapted to fulfill the objectives in a specific situation. The problem we address is how to endow virtual creatures with emotion regulation in order to compute an appropriate behavior in a specific emotional situation. This problem is clearly important and we have not identified ways to solve this problem in the current literature. In our proposal, we show a way to generate the appropriate behavior in an emotional situation using a learning classifier system (LCS). We illustrate the function of our proposal in unknown and known situations by means of two case studies. Our results demonstrate that it is possible to converge to the appropriate behavior even in the first case; that is, when the system does not have previous experiences and in situations where some previous information is available our proposal proves to be a very powerful tool.

  11. Search for an Appropriate Behavior within the Emotional Regulation in Virtual Creatures Using a Learning Classifier System

    Directory of Open Access Journals (Sweden)

    Jonathan-Hernando Rosales

    2017-01-01

    Full Text Available Emotion regulation is a process by which human beings control emotional behaviors. From neuroscientific evidence, this mechanism is the product of conscious or unconscious processes. In particular, the mechanism generated by a conscious process needs a priori components to be computed. The behaviors generated by previous experiences are among these components. These behaviors need to be adapted to fulfill the objectives in a specific situation. The problem we address is how to endow virtual creatures with emotion regulation in order to compute an appropriate behavior in a specific emotional situation. This problem is clearly important and we have not identified ways to solve this problem in the current literature. In our proposal, we show a way to generate the appropriate behavior in an emotional situation using a learning classifier system (LCS. We illustrate the function of our proposal in unknown and known situations by means of two case studies. Our results demonstrate that it is possible to converge to the appropriate behavior even in the first case; that is, when the system does not have previous experiences and in situations where some previous information is available our proposal proves to be a very powerful tool.

  12. Machine Learning for Neuroimaging with Scikit-Learn

    Directory of Open Access Journals (Sweden)

    Alexandre eAbraham

    2014-02-01

    Full Text Available Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g. resting state functional MRI or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps. Scikit-learn contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.

  13. Machine learning for neuroimaging with scikit-learn.

    Science.gov (United States)

    Abraham, Alexandre; Pedregosa, Fabian; Eickenberg, Michael; Gervais, Philippe; Mueller, Andreas; Kossaifi, Jean; Gramfort, Alexandre; Thirion, Bertrand; Varoquaux, Gaël

    2014-01-01

    Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series. Supervised learning is typically used in decoding or encoding settings to relate brain images to behavioral or clinical observations, while unsupervised learning can uncover hidden structures in sets of images (e.g., resting state functional MRI) or find sub-populations in large cohorts. By considering different functional neuroimaging applications, we illustrate how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps. Scikit-learn contains a very large set of statistical learning algorithms, both supervised and unsupervised, and its application to neuroimaging data provides a versatile tool to study the brain.

  14. Disruption of model-based behavior and learning by cocaine self-administration in rats.

    Science.gov (United States)

    Wied, Heather M; Jones, Joshua L; Cooch, Nisha K; Berg, Benjamin A; Schoenbaum, Geoffrey

    2013-10-01

    Addiction is characterized by maladaptive decision-making, in which individuals seem unable to use adverse outcomes to modify their behavior. Adverse outcomes are often infrequent, delayed, and even rare events, especially when compared to the reliable rewarding drug-associated outcomes. As a result, recognizing and using information about their occurrence put a premium on the operation of so-called model-based systems of behavioral control, which allow one to mentally simulate outcomes of different courses of action based on knowledge of the underlying associative structure of the environment. This suggests that addiction may reflect, in part, drug-induced dysfunction in these systems. Here, we tested this hypothesis. This study aimed to test whether cocaine causes deficits in model-based behavior and learning independent of requirements for response inhibition or perception of costs or punishment. We trained rats to self-administer sucrose or cocaine for 2 weeks. Four weeks later, the rats began training on a sensory preconditioning and inferred value blocking task. Like devaluation, normal performance on this task requires representations of the underlying task structure; however, unlike devaluation, it does not require either response inhibition or adapting behavior to reflect aversive outcomes. Rats trained to self-administer cocaine failed to show conditioned responding or blocking to the preconditioned cue. These deficits were not observed in sucrose-trained rats nor did they reflect any changes in responding to cues paired directly with reward. These results imply that cocaine disrupts the operation of neural circuits that mediate model-based behavioral control.

  15. Understanding and Predicting Student Self-Regulated Learning Strategies in Game-Based Learning Environments

    Science.gov (United States)

    Sabourin, Jennifer L.; Shores, Lucy R.; Mott, Bradford W.; Lester, James C.

    2013-01-01

    Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding students' self-regulated learning behavior has been the subject of increasing attention. Unfortunately, monitoring these behaviors in real-time has…

  16. Associations between poor health and school-related behavior problems at the child and family levels: a cross-sectional study of migrant children and adolescents in southwest urban China.

    Science.gov (United States)

    Zhang, Jing-Jing; Li, Ning-Xiu; Liu, Chao-Jie

    2010-06-01

    Due to urbanization in China, the numbers of migrant children and adolescents in urban environments have increased. Previous studies have indicated that children and adolescents are more likely to suffer from health problems and poor school achievement. The present study identified associations between poor health and school-related behavior problems (ie, learning attitudes and learning disabilities [LL], antisocial behavior and risk behavior [AR], and social adaptation and role function [SR]) at the child and family levels. A cross-sectional design was used. Seven hundred and eighty-one participants were recruited in inclusive settings. Correlational analysis was conducted to assess the associations between demographic variables and the primary study variables. Logistic regression analysis was used to determine which study factors were the strongest predictors of general health problems. School-aged migrants who had poorer health tended to be more likely to suffer from school-related behavior problems. Poor health was also found to hinder scholastic achievement in migrant children and adolescents through a higher prevalence of school-related behavior problems, including negative learning attitudes and learning disabilities, antisocial behavior and risk behavior, and social maladjustment. Health risk factors included inappropriate parental education methods, fewer classmates, and less social support. Health and individual risk factors should be explored further to determine their causal role in migrant children and adolescents with school-related behavior problems. These results have implications for future school health education for these students.

  17. Case-Based Web Learning Versus Face-to-Face Learning: A Mixed-Method Study on University Nursing Students.

    Science.gov (United States)

    Chan, Aileen Wai-Kiu; Chair, Sek-Ying; Sit, Janet Wing-Hung; Wong, Eliza Mi-Ling; Lee, Diana Tze-Fun; Fung, Olivia Wai-Man

    2016-03-01

    Case-based learning (CBL) is an effective educational method for improving the learning and clinical reasoning skills of students. Advances in e-learning technology have supported the development of the Web-based CBL approach to teaching as an alternative or supplement to the traditional classroom approach. This study aims to examine the CBL experience of Hong Kong students using both traditional classroom and Web-based approaches in undergraduate nursing education. This experience is examined in terms of the perceived self-learning ability, clinical reasoning ability, and satisfaction in learning of these students. A mixture of quantitative and qualitative approaches was adopted. All Year-3 undergraduate nursing students were recruited. CBL was conducted using the traditional classroom approach in Semester 1, and the Web-based approach was conducted in Semester 2. Student evaluations were collected at the end of each semester using a self-report questionnaire. In-depth, focus-group interviews were conducted at the end of Semester 2. One hundred twenty-two students returned their questionnaires. No difference between the face-to-face and Web-based approaches was found in terms of self-learning ability (p = .947), clinical reasoning ability (p = .721), and satisfaction (p = .083). Focus group interview findings complemented survey findings and revealed five themes that reflected the CBL learning experience of Hong Kong students. These themes were (a) the structure of CBL, (b) the learning environment of Web-based CBL, (c) critical thinking and problem solving, (d) cultural influence on CBL learning experience, and (e) student-centered and teacher-centered learning. The Web-based CBL approach was comparable but not superior to the traditional classroom CBL approach. The Web-based CBL experience of these students sheds light on the impact of Chinese culture on student learning behavior and preferences.

  18. Techniques and Behaviors Associated with Exemplary Inpatient General Medicine Teaching: An Exploratory Qualitative Study.

    Science.gov (United States)

    Houchens, Nathan; Harrod, Molly; Moody, Stephanie; Fowler, Karen; Saint, Sanjay

    2017-07-01

    Clinician educators face numerous obstacles to their joint mission of facilitating high-quality learning while also delivering patient-centered care. Such challenges necessitate increased attention to the work of exemplary clinician educators, their respective teaching approaches, and the experiences of their learners. To describe techniques and behaviors utilized by clinician educators to facilitate excellent teaching during inpatient general medicine rounds. An exploratory qualitative study of inpatient teaching conducted from 2014 to 2015. Inpatient general medicine wards in 11 US hospitals, including university-affiliated hospitals and Veterans Affairs medical centers. Participants included 12 exemplary clinician educators, 57 of their current learners, and 26 of their former learners. In-depth, semi-structured interviews of exemplary clinician educators, focus group discussions with their current and former learners, and direct observations of clinical teaching during inpatient rounds. Interview data, focus group data, and observational field notes were coded and categorized into broad, overlapping themes. Each theme elucidated a series of actions, behaviors, and approaches that exemplary clinician educators consistently demonstrated during inpatient rounds: (1) they fostered positive relationships with all team members by building rapport, which in turn created a safe learning environment; (2) they facilitated patient-centered teaching points, modeled excellent clinical exam and communication techniques, and treated patients as partners in their care; and (3) they engaged in coaching and collaboration through facilitation of discussion, effective questioning strategies, and differentiation of learning among team members with varied experience levels. This study identified consistent techniques and behaviors of excellent teaching during inpatient general medicine rounds. © 2017 Society of Hospital Medicine

  19. A Proposed Framework to Understand the Intrinsic Motivation Factors on University Students' Behavioral Intention to Use a Mobile Application for Learning

    Science.gov (United States)

    Shroff, Ronnie H.; Keyes, Christopher J.

    2017-01-01

    Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students' behavioral intention to use (BIU) a mobile application for learning. Background: Although the Technology Acceptance Model is a significant…

  20. A Case-Study for Life-Long Learning and Adaptation in Cooperative Robot Teams

    International Nuclear Information System (INIS)

    Parker, L.E.

    1999-01-01

    While considerable progress has been made in recent years toward the development of multi-robot teams, much work remains to be done before these teams are used widely in real-world applications. Two particular needs toward this end are the development of mechanisms that enable robot teams to generate cooperative behaviors on their own, and the development of techniques that allow these teams to autonomously adapt their behavior over time as the environment or the robot team changes. This paper proposes the use of the Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) application as a rich domain for studying the issues of multi-robot learning and adaptation. After discussing the need for learning and adaptation in multi-robot teams, this paper describes the CMOMMT application and its relevance to multi-robot learning. We discuss the results of the previously- developed, hand-generated algorithm for CMOMMT and the potential for learning that was discovered from the hand-generated approach. We then describe the early work that has been done (by us and others) to generate multi- robot learning techniques for the CMOMMT application, as well as our ongoing research to develop approaches that give performance as good, or better, than the hand-generated approach. The ultimate goal of this research is to develop techniques for multi-robot learning and adaptation in the CMOMMT application domain that will generalize to cooperative robot applications in other domains, thus making the practical use of multi-robot teams in a wide variety of real-world applications much closer to reality

  1. A study of software reliability growth from the perspective of learning effects

    International Nuclear Information System (INIS)

    Chiu, K.-C.; Huang, Y.-S.; Lee, T.-Z.

    2008-01-01

    For the last three decades, reliability growth has been studied to predict software reliability in the testing/debugging phase. Most of the models developed were based on the non-homogeneous Poisson process (NHPP), and S-shaped type or exponential-shaped type of behavior is usually assumed. Unfortunately, such models may be suitable only for particular software failure data, thus narrowing the scope of applications. Therefore, from the perspective of learning effects that can influence the process of software reliability growth, we considered that efficiency in testing/debugging concerned not only the ability of the testing staff but also the learning effect that comes from inspecting the testing/debugging codes. The proposed approach can reasonably describe the S-shaped and exponential-shaped types of behaviors simultaneously, and the results in the experiment show good fit. A comparative analysis to evaluate the effectiveness for the proposed model and other software failure models was also performed. Finally, an optimal software release policy is suggested

  2. Identify User’s Satisfaction from Platform Using Behavior

    Directory of Open Access Journals (Sweden)

    Kuo L.H.

    2016-01-01

    Full Text Available The purpose of this study was to verify a model of user’s satisfaction of an e-learning environment based upon platform using behaviors. This is a non-experimental study. The data was collected from system management logs and users satisfaction survey after learning service. Total 314 users were invited in this study. First, theory model was identified. Second, the satisfaction survey results were prepared. Third, the behavior data of each survey subject were prepared. A CFA procedure were conducted to verify whether the data fits into the model. The model fit is positive with χ2 = 2.06, p-value=.151, df= 1, RMSEA=.058. The proposed two-factor theory model with simple structure fit the data. The love e-learning and satisfaction of e-learning factors are significantly supporting the hypothesis of a relationship between the factors. The findings suggested that identifying satisfaction from behavior is possible.

  3. Adult neurogenesis is reduced in the dorsal hippocampus of rats displaying learned helplessness behavior.

    Science.gov (United States)

    Ho, Y C; Wang, S

    2010-11-24

    Clinical and preclinical studies suggest that the hippocampus has a role in the pathophysiology of major depression. In the learned helplessness (LH) animal model of depression after inescapable shocks (ISs) animals that display LH behavior have reduced cell proliferation in the hippocampus; this effect can be reversed by antidepressant treatment. Using this model, we compared rats that displayed LH behavior and rats that did not show LH behavior (NoLH) after ISs to determine whether reduced hippocampal cell proliferation is associated with the manifestation of LH behavior or is a general response to stress. Specifically, we examined cell proliferation, neurogenesis, and synaptic function in dorsal and ventral hippocampus of LH and NoLH animals and control rats that were not shocked. The LH rats had showed reduced cell proliferation, neurogenesis, and synaptic transmission in the dorsal hippocampus, whereas no changes were seen in the ventral hippocampus. These changes were not observed in the NoLH animals. In a group of NoLH rats that received the same amount of electrical shock as the LH rats to control for the unequal shocks received in these two groups, we observed changes in Ki-67(+) cells associated with acute stress. We conclude that reduced hippocampal cell proliferation and neurogenesis are associated with the manifestation of LH behavior and that the dorsal hippocampus is the most affected area. Copyright © 2010 IBRO. Published by Elsevier Ltd. All rights reserved.

  4. Behavioral studies of learning in the Africanized honey bee (Apis mellifera L.).

    Science.gov (United States)

    Abramson, Charles I; Aquino, Italo S

    2002-01-01

    Experiments on basic classical conditioning phenomena in adult and young Africanized honey bees (Apis mellifera L.) are described. Phenomena include conditioning to various stimuli, extinction (both unpaired and CS only), conditioned inhibition, color and odor discrimination. In addition to work on basic phenomena, experiments on practical applications of conditioning methodology are illustrated with studies demonstrating the effects of insecticides on learning and the reaction of bees to consumer products. Electron microscope photos are presented of Africanized workers, drones, and queen bees. Possible sub-species differences between Africanized and European bees are discussed. Copyright 2002 S. Karger AG, Basel

  5. Study of Melatonin Protective Effects on Learning and Memory Deficits Induced by Administration of Lead during Pregnancy and Postpartum in Rat: Behavioral and Biochemical Evaluations

    Directory of Open Access Journals (Sweden)

    Elham Soleimani

    2016-05-01

    Full Text Available Abstract Background: Few studies have investigated the possible ways to prevent lead induced defects during gestation and lactation. The aim of this study was to investigate the effect of melatonin as a hormone with antioxidant properties on oxidative stress in the hippocampus and learning and memory impairment induced by administration of lead. Materials and Methods: Pregnant rats were exposed to treatments of control, lead acetate (0.2% solution in water, lead acetate + melatonin and melatonin (10 mg / kg by oral gavage from gestation day 6 until weaning. 21 days after birth, the activities of several antioxidant enzymes including superoxide dismutase (SOD, glutathione peroxidase (GPX and catalase (CAT as well as malondialdehyde levels in hippocampus of 23 male offspring rats were assayed. To behavioral studies, on postnatal day 30, 57 rats were trained 6 days in the Morris water maze and the probe test was performed 24 h later. Results: The results showed that administration of lead during pregnancy and lactation could increase MDA levels and decrease glutathione peroxidase, superoxide dismutase and catalase antioxidant enzymes activities in the hippocampus of male offspring. Also, this treatment significantly disrupted performance of the Morris water maze test and impaired learning and spatial memory in male offspring compared with control. Administration of melatonin attenuated lipid peroxidation and could improve learning and spatial memory deficits and the activity of antioxidant enzymes in lead exposure group. Conclusion: Melatonin as a neuropotective drug can protect the hippocampus against the complications of lead exposure, in the course of development.

  6. Active Learning for Player Modeling

    DEFF Research Database (Denmark)

    Shaker, Noor; Abou-Zleikha, Mohamed; Shaker, Mohammad

    2015-01-01

    Learning models of player behavior has been the focus of several studies. This work is motivated by better understanding of player behavior, a knowledge that can ultimately be employed to provide player-adapted or personalized content. In this paper, we propose the use of active learning for player...... experience modeling. We use a dataset from hundreds of players playing Infinite Mario Bros. as a case study and we employ the random forest method to learn mod- els of player experience through the active learning approach. The results obtained suggest that only part of the dataset (up to half the size...... that the method can be used online during the content generation process where the mod- els can improve and better content can be presented as the game is being played....

  7. Functional integration processes underlying the instruction-based learning of novel goal-directed behaviors.

    Science.gov (United States)

    Ruge, Hannes; Wolfensteller, Uta

    2013-03-01

    How does the human brain translate symbolic instructions into overt behavior? Previous studies suggested that this process relies on a rapid control transition from the lateral prefrontal cortex (LPFC) to the anterior striatum (aSTR) and premotor cortex (PMC). The present fMRI study investigated whether the transfer from symbolic to pragmatic stimulus-response (S-R) rules relies on changes in the functional coupling among these and other areas and to which extent action goal representations might get integrated within this symbolic-pragmatic transfer. Goal integration processes were examined by manipulating the contingency between actions and differential outcomes (i.e. action goals). We observed a rapid strengthening of the functional coupling between the LPFC and the basal ganglia (aSTR and putamen) and orbitofrontal cortex (OFC) as well as between the LPFC and the anterior dorsal PMC (pre-PMd), the anterior inferior parietal lobule (aIPL), and the posterior superior parietal lobule (pSPL). Importantly, only some of these functional integration processes were sensitive to the outcome contingency manipulation, including LPFC couplings with aSTR, OFC, aIPL, and pre-PMd. This suggests that the symbolic-pragmatic rule transfer is governed by principles of both, instrumental learning (increasingly tighter coupling between LPFC and aSTR/OFC) and ideomotor learning (increasingly tighter coupling between LPFC and aIPL/pre-PMd). By contrast, increased functional coupling between LPFC and putamen was insensitive to outcome contingency possibly indicating an early stage of habit formation under instructed learning conditions. Copyright © 2012 Elsevier Inc. All rights reserved.

  8. Exploring Effects of Multi-Touch Tabletop on Collaborative Fraction Learning and the Relationship of Learning Behavior and Interaction with Learning Achievement

    Science.gov (United States)

    Hwang, Wu-Yuin; Shadiev, Rustam; Tseng, Chi-Wei; Huang, Yueh-Min

    2015-01-01

    This study designed a learning system to facilitate elementary school students' fraction learning. An experiment was carried out to investigate how the system, which runs on multi-touch tabletop versus tablet PC, affects fraction learning. Two groups, a control and experimental, were assigned. Control students have learned fraction by using tablet…

  9. Comparing Digital Badges-and-Points with Classroom Token Systems: Effects on Elementary School ESL Students' Classroom Behavior and English Learning

    Science.gov (United States)

    Homer, Ryan; Hew, Khe Foon; Tan, Cheng Yong

    2018-01-01

    This paper reports the findings of a field experiment that gamified the classroom experience of elementary school ESL students by implementing digital badges-and-points which students could earn by achieving specific behavioral and learning goals. Altogether, 120 children in eight different classes participated in this study. Four of the classes…

  10. Studies in Motor Behavior: 75 Years of Research in Motor Development, Learning, and Control

    Science.gov (United States)

    Ulrich, Beverly D.; Reeve, T. Gilmour

    2005-01-01

    Research focused on human motor development, learning, and control has been a prominent feature in the Research Quarterly for Exercise and Sport (RQES) since it was first published in 1930. The purpose of this article is to provide an overview of the papers in the RQES that demonstrate the journal's contributions to the study of motor development,…

  11. The implementation of an elementary STEM learning team and the effect on teacher self-efficacy: An action research study

    Science.gov (United States)

    Hernandez, Jennifer F.

    Science, technology, engineering, and math (STEM) education is part of a national movement to prepare students for the demands of a 21st century workforce. STEM uses an integrated, real-world problem solving approach to increase the levels of collaboration, communication, critical, and creative thinking in students. If expectations for students have increased to stay competitive in a global market, teachers must be equipped to meet the needs of the new 21st century learners in their classrooms. To that end, professional learning for educators is essential to ensure they are equipped with the tools necessary for success. While there are many approaches to teacher development, professional learning teams, based on the work of Garmston and Wellman, focus on teachers' instructional delivery, targeted student learning needs, planning, implementing new strategies, collaboration, and reflective dialogue. The purpose of the study is to improve instructional practice providing quality STEM instruction to students and increase teacher self-efficacy---a teachers' perception of his or her ability to instruct students in the STEM disciplines. Theoretical implications of a study on an elementary STEM learning team could affect the way schools deliver STEM professional learning opportunities to teachers and the way students are delivered a quality STEM education. Research has shown that Model I behavior would limit the change process of professional learning through a surface inspection of the issues; however model II behaviors would benefit the teachers, students and organization because teachers would be collaborating on specific objectives to develop a knowledge base and skill set to meet students' needs. Extending professional development by engaging stakeholders in a collaborative process to build model II behaviors will create an organizational structure that facilitates learning.

  12. The Cognitive Processes underlying Affective Decision-making Predicting Adolescent Smoking Behaviors in a Longitudinal Study

    Directory of Open Access Journals (Sweden)

    Lin eXiao

    2013-10-01

    Full Text Available This study investigates the relationship between three different cognitive processes underlying the Iowa Gambling Task (IGT and adolescent smoking behaviors in a longitudinal study. We conducted a longitudinal study of 181 Chinese adolescents in Chengdu City, China. The participants were followed from 10th grade to 11th grade. When they were in the 10th grade (Time 1, we tested these adolescents’ decision-making using the Iowa Gambling Task and working memory capacity using the Self-ordered Pointing Test (SOPT. Self-report questionnaires were used to assess school academic performance and smoking behaviors. The same questionnaires were completed again at the one-year follow-up (Time 2. The Expectancy-Valence (EV Model was applied to distill the IGT performance into three different underlying psychological components: (i a motivational component which indicates the subjective weight the adolescents assign to gains versus losses; (ii a learning-rate component which indicates the sensitivity to recent outcomes versus past experiences; and (iii a response component which indicates how consistent the adolescents are between learning and responding. The subjective weight to gains vs. losses at Time 1 significantly predicted current smokers and current smoking levels at Time 2, controlling for demographic variables and baseline smoking behaviors. Therefore, by decomposing the IGT into three different psychological components, we found that the motivational process of weight gain vs. losses may serve as a neuropsychological marker to predict adolescent smoking behaviors in a general youth population.

  13. The influence of Weismann's germ-plasm theory on the distinction between learned and innate behavior.

    Science.gov (United States)

    Johnston, T D

    1995-04-01

    Since the early twentieth century it has been common in both psychology and behavioral biology to draw a sharp distinction between learned and innate behavior, or elements of behavior. The persistence of this dichotomy may be attributed in part to the fundamental importance of the separation of inherited and acquired characters within neo-Darwinian evolutionary theory, one of the essential foundations for the modern study of behavior. A cornerstone of early neo-Darwinian thought was August Weismann's theory of the germ plasm, which proposed a segregation between germinal and somatic cells during development, thus ruling out the possibility that acquired characters could be inherited. This denial of Lamarckian hereditary mechanisms became one of the hallmarks of neo-Darwinism, as opposed to classical Darwinism. Within the neo-Darwinian framework it thus became important, as Weismann himself pointed out, to distinguish sharply between inherited and acquired characters. Although the dichotomy has frequently been criticized it remains tenacious, surfacing in different guises as older versions of it became terminologically unacceptable. The analysis offered here suggests that this tenacity may partly be explained by the implications of Weismann's germ-plasm theory, and its modern incarnation in the central dogma of molecular genetics, and by the central thematic position of those ideas in the neo-Darwinian foundations of modern behavioral biology.

  14. Students’ Motivation for Learning in Virtual Learning Environments

    Directory of Open Access Journals (Sweden)

    Andrea Carvalho Beluce

    2015-04-01

    Full Text Available The specific characteristics of online education require of the student engagement and autonomy, factors which are related to motivation for learning. This study investigated students’ motivation in virtual learning environments (VLEs. For this, it used the Teaching and Learning Strategy and Motivation to Learn Scale in Virtual Learning Environments (TLSM-VLE. The scale presented 32 items and six dimensions, three of which aimed to measure the variables of autonomous motivation, controlled motivation, and demotivation. The participants were 572 students from the Brazilian state of Paraná, enrolled on higher education courses on a continuous education course. The results revealed significant rates for autonomous motivational behavior. It is considered that the results obtained may provide contributions for the educators and psychologists who work with VLEs, leading to further studies of the area providing information referent to the issue investigated in this study.

  15. THE ROLE OF STUDENT CHARACTERISTICS IN PROBLEM BASED LEARNING

    Directory of Open Access Journals (Sweden)

    Mia Damiyanti

    2006-04-01

    Full Text Available To reach the effectiveness of study, it is recommended to work on active learning method. The learning activity must be done with emphasis on the students’ characteristics. The characteristic means internal factors (cognitive entry behavior and affective entry characteristics, which are considered important as solving problems. The previous studies have shown that there is a correlation between achievement test and students’ characteristic entry behavior. At the beginning of the academic year of 2003, Faculty of Dentistry, University of Indonesia started active learning with PBL curriculum for the BDS degree. From a study about the correlation between the achievement and students’ entry behavior (previous knowledge, self concept, attitude, and anxiety during attending the test the study showed that characteristic entry behavior contributes to the student’s achievement test. The results supported the previous study.

  16. The language learning experiences of students with dyslexia: lessons from an interview study.

    OpenAIRE

    Kormos, Judit; Csizér, Kata; Sarkadi, Ágnes

    2009-01-01

    Our interview study investigated what experiences Hungarian students with dyslexia have in the language learning group and concerning the general behavior, the instructional methods and assessment techniques of their language teachers. Long qualitative interviews were conducted with 15 students of different ages who studied foreign languages in a variety of educational settings. Our results indicate that the participants generally had negative experiences when studying in groups, especially i...

  17. Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Impairment Classification: A Machine Learning Study

    Directory of Open Access Journals (Sweden)

    Petronilla Battista

    2017-01-01

    Full Text Available Subjects with Alzheimer’s disease (AD show loss of cognitive functions and change in behavioral and functional state affecting the quality of their daily life and that of their families and caregivers. A neuropsychological assessment plays a crucial role in detecting such changes from normal conditions. However, despite the existence of clinical measures that are used to classify and diagnose AD, a large amount of subjectivity continues to exist. Our aim was to assess the potential of machine learning in quantifying this process and optimizing or even reducing the amount of neuropsychological tests used to classify AD patients, also at an early stage of impairment. We investigated the role of twelve state-of-the-art neuropsychological tests in the automatic classification of subjects with none, mild, or severe impairment as measured by the clinical dementia rating (CDR. Data were obtained from the ADNI database. In the groups of measures used as features, we included measures of both cognitive domains and subdomains. Our findings show that some tests are more frequently best predictors for the automatic classification, namely, LM, ADAS-Cog, AVLT, and FAQ, with a major role of the ADAS-Cog measures of delayed and immediate memory and the FAQ measure of financial competency.

  18. How medical students learn from residents in the workplace: a qualitative study.

    Science.gov (United States)

    Karani, Reena; Fromme, H Barrett; Cayea, Danelle; Muller, David; Schwartz, Alan; Harris, Ilene B

    2014-03-01

    To explore what third-year medical students learn from residents and which teaching strategies are used by excellent resident teachers in their interactions with students in the clinical workplace environment. In this multi-institutional qualitative study between January and March 2012, the authors conducted focus groups with medical students who were midway through their third year. Qualitative analysis was used to identify themes. Thirty-seven students participated. Students contributed 228 comments related to teaching methods used by residents. The authors categorized these into 20 themes within seven domains: role-modeling, focusing on teaching, creating a safe learning environment, providing experiential learning opportunities, giving feedback, setting expectations, and stimulating learning. Role-modeling, the most frequently classified method of teaching in this study, was not included in three popular "Resident-as-Teacher" (RAT) models. Strategies including offering opportunities for safe practice, involving students in the team, and providing experiential learning opportunities were not emphasized in these models either. Almost 200 comments representing the knowledge and skills students learned from residents were categorized into 33 themes within nine domains: patient care, communication, navigating the system, adaptability, functioning as a student/resident, lifelong learning, general comments, career/professional development, and medical content. Most of these areas are not emphasized in popular RAT models. Residents serve as critically important teachers of students in the clinical workplace. Current RAT models are based largely on the teaching behaviors of faculty. The content and teaching strategies identified by students in this study should serve as the foundation for future RAT program development.

  19. Effective Teaching in Case-Based Education: Patterns in Teacher Behavior and Their Impact on the Students' Clinical Problem Solving and Learning

    Science.gov (United States)

    Ramaekers, Stephan; van Keulen, Hanno; Kremer, Wim; Pilot, Albert; van Beukelen, Peter

    2011-01-01

    Case-based learning formats, in which relevant case information is provided just in time, require teachers to combine their scaffolding role with an information-providing one. The objective of this study is to establish how this combination of roles affects teacher behavior and that, in turn, mediates students' reasoning and problem solving. Data…

  20. EDUCATIONAL INOVATION AND CONSUMER BEHAVIOUR. A STUDY OF STUDENTS PERCEPTIONS ON THE USE OF E-LEARNING IN CLASS.

    Directory of Open Access Journals (Sweden)

    Tufan Adriana

    2011-07-01

    Full Text Available In European and international context of a knowledge-based society, education becomes a strategic element of sustainable economic growth. Developing human capital and adapt its training to the present requirements of the labor market requires major investments both in the formal education system and in individual study. In his position as a promoter of change, the educational environment must actively respond to external challenges, demonstrating a strong flexibility and openness to new. Implementing the concepts and marketing strategies in the educational environment have gradually led to the development of educational services and improvement of their quality. Focusing on student, the mainstream of marketing, brings in front his requirements and expectations, and the development of the educational strategies aim to satisfy his information and intellectual development needs. School success is reflected in its students achievement as a successful commercial product is observed by analyzing sales figures recorded. Frequent changes occurring in society as a result of accelerated evolution of technique and technology have made their mark on education. The assimilation of innovations in the traditional educational processes imposed and behavioral changes and adaptations to all education stakeholders. Thus knowing the consumer behavior, the influencing factors and the psychological processes decision making, becomes essential in creating an effective education system. The emergence of e-learning platforms as a result of the growing importance of lifelong learning and integrating them in the traditional educational environment was a crucial moment in the evolution of educational practices. Focusing on computer, Internet and intranets, e-learning brings education a surplus of interactivity, interaction, responsibility and collaborative learning. Considered as innovative solutions, initially, complementary to the classical teaching techniques, e-learning

  1. Measuring preschool learning engagement in the laboratory.

    Science.gov (United States)

    Halliday, Simone E; Calkins, Susan D; Leerkes, Esther M

    2018-03-01

    Learning engagement is a critical factor for academic achievement and successful school transitioning. However, current methods of assessing learning engagement in young children are limited to teacher report or classroom observation, which may limit the types of research questions one could assess about this construct. The current study investigated the validity of a novel assessment designed to measure behavioral learning engagement among young children in a standardized laboratory setting and examined how learning engagement in the laboratory relates to future classroom adjustment. Preschool-aged children (N = 278) participated in a learning-based Tangrams task and Story sequencing task and were observed based on seven behavioral indicators of engagement. Confirmatory factor analysis supported the construct validity for a behavioral engagement factor composed of six of the original behavioral indicators: attention to instructions, on-task behavior, enthusiasm/energy, persistence, monitoring progress/strategy use, and negative affect. Concurrent validity for this behavioral engagement factor was established through its associations with parent-reported mastery motivation and pre-academic skills in math and literacy measured in the laboratory, and predictive validity was demonstrated through its associations with teacher-reported classroom learning behaviors and performance in math and reading in kindergarten. These associations were found when behavioral engagement was observed during both the nonverbal task and the verbal story sequencing tasks and persisted even after controlling for child minority status, gender, and maternal education. Learning engagement in preschool appears to be successfully measurable in a laboratory setting. This finding has implications for future research on the mechanisms that support successful academic development. Copyright © 2017 Elsevier Inc. All rights reserved.

  2. Political Regime and Learning Outcomes of Stakeholder Participation: Cross-National Study of 81 Biosphere Reserves

    Directory of Open Access Journals (Sweden)

    Alba Mohedano Roldán

    2017-04-01

    Full Text Available Stakeholder participation in natural resource management has spread widely, even to nondemocracies, driven by expectations of beneficial outcomes such as multidirectional learning. However, can we expect participation to be equally effective in achieving multidirectional learning in democracies and nondemocracies? Unsurprisingly, previous studies indicate the relevance of power distribution for learning. Higher levels of repression and accumulation of political capital in nondemocracies should limit the distribution of power across stakeholders. Yet, the relationship between political regime, participation, and learning has rarely been studied empirically. I address this gap by analysing multidirectional learning in stakeholder participation in 81 Man and the Biosphere reserves across 35 countries using ordinary least squares regression, Firth logistic regression, and heat maps. The results suggest that the amount of stakeholders sharing knowledge and learning is similar in both regimes. However, a closer analysis reveals differences in the impact different stakeholders have on the learning process. More concretely, local actors share knowledge more often and have a greater impact on stakeholders’ learning in democracies, while state actors display similar behavior across regimes in terms of learning and sharing knowledge. Thus, although there are notable similarities across regimes, multidirectional learning through stakeholder participation is influenced by the political context.

  3. The Role of Emotions, Motivation, and Learning Behavior in Underachievement and Results of an Intervention

    Science.gov (United States)

    Obergriesser, Stefanie; Stoeger, Heidrun

    2015-01-01

    Research has shown that various individual factors play an important role in the underachievement of gifted students. Most often discussed as predictors of underachievement are motivation, learning behavior, and emotions. To examine which specific constructs from these fields simultaneously predict underachievement among gifted fourth graders,…

  4. Soil-pipe interaction modeling for pipe behavior prediction with super learning based methods

    Science.gov (United States)

    Shi, Fang; Peng, Xiang; Liu, Huan; Hu, Yafei; Liu, Zheng; Li, Eric

    2018-03-01

    Underground pipelines are subject to severe distress from the surrounding expansive soil. To investigate the structural response of water mains to varying soil movements, field data, including pipe wall strains in situ soil water content, soil pressure and temperature, was collected. The research on monitoring data analysis has been reported, but the relationship between soil properties and pipe deformation has not been well-interpreted. To characterize the relationship between soil property and pipe deformation, this paper presents a super learning based approach combining feature selection algorithms to predict the water mains structural behavior in different soil environments. Furthermore, automatic variable selection method, e.i. recursive feature elimination algorithm, were used to identify the critical predictors contributing to the pipe deformations. To investigate the adaptability of super learning to different predictive models, this research employed super learning based methods to three different datasets. The predictive performance was evaluated by R-squared, root-mean-square error and mean absolute error. Based on the prediction performance evaluation, the superiority of super learning was validated and demonstrated by predicting three types of pipe deformations accurately. In addition, a comprehensive understand of the water mains working environments becomes possible.

  5. Differentiating Children with Attention-Deficit/Hyperactivity Disorder, Conduct Disorder, Learning Disabilities and Autistic Spectrum Disorders by Means of Their Motor Behavior Characteristics

    Science.gov (United States)

    Efstratopoulou, Maria; Janssen, Rianne; Simons, Johan

    2012-01-01

    The study was designed to investigate the discriminant validity of the Motor Behavior Checklist (MBC) for distinguishing four group of children independently classified with Attention-Deficit/Hyperactivity Disorder, (ADHD; N = 22), Conduct Disorder (CD; N = 17), Learning Disabilities (LD; N = 24) and Autistic Spectrum Disorders (ASD; N = 20).…

  6. Preparing Digital Stories through the Inquiry-Based Learning Approach: Its Effect on Prospective Teachers' Resistive Behaviors toward Research and Technology-Based Instruction

    Science.gov (United States)

    Yavuz Konokman, Gamze; Yanpar Yelken, Tugba

    2016-01-01

    The purpose of the study was to determine the effect of preparing digital stories through an inquiry based learning approach on prospective teachers' resistive behaviors toward technology based instruction and conducting research. The research model was convergent parallel design. The sample consisted of 50 prospective teachers who had completed…

  7. A case study of technology-enhanced active learning in introductory cellular biology

    Science.gov (United States)

    Chacon Diaz, Lucia Bernardette

    Science teaching and learning in higher education has been evolving over the years to encourage student retention in STEM fields and reduce student attrition. As novel pedagogical practices emerge in the college science classroom, research on the effectiveness of such approaches must be undertaken. The following research applied a case study research design in order to evaluate the experiences of college students in a TEAL classroom. This case study was conducted during the 2017 Summer Cellular and Organismal Biology course at a four-year Hispanic Serving Institution located in the Southwest region of the United States. The main components evaluated were students' exam performance, self-efficacy beliefs, and behaviors and interactions in the Technology-Enhanced Active Learning (TEAL) classroom. The findings suggest that students enrolled in a TEAL classroom are equally capable of answering high and low order thinking questions. Additionally, students are equally confident in answering high and low order thinking items related to cellular biology. In the TEAL classroom, student-student interactions are encouraged and collaborative behaviors are exhibited. Gender and ethnicity do not influence self-efficacy beliefs in students in the TEAL room, and the overall class average of self-efficacy beliefs tended to be higher compared to exam performance. Based on the findings of this case study, TEAL classrooms are greatly encouraged in science higher education in order to facilitate learning and class engagement for all students. Providing students with the opportunity to expand their academic talents in the science classroom accomplishes a crucial goal in STEM higher education.

  8. COMT Val158Met genotype is associated with reward learning: A replication study and meta-analysis

    Science.gov (United States)

    Corral-Frías, Nadia S.; Pizzagalli, Diego A.; Carré, Justin; Michalski, Lindsay J; Nikolova, Yuliya S.; Perlis, Roy H.; Fagerness, Jesen; Lee, Mary R.; Conley, Emily Drabant; Lancaster, Thomas M.; Haddad, Stephen; Wolf, Aaron; Smoller, Jordan W.; Hariri, Ahmad R.; Bogdan, Ryan

    2016-01-01

    Identifying mechanisms through which individual differences in reward learning emerge offers an opportunity to understand both a fundamental form of adaptive responding as well as etiological pathways through which aberrant reward learning may contribute to maladaptive behaviors and psychopathology. One candidate mechanism through which individual differences in reward learning may emerge is variability in dopaminergic reinforcement signaling. A common functional polymorphism within the catechol-O-methyl transferase gene (COMT; rs4680, Val158Met) has been linked to reward learning where homozygosity for the Met allele (associated with heightened prefrontal dopamine function and decreased dopamine synthesis in the midbrain) has been associated with relatively increased reward learning. Here, we used a probabilistic reward learning task to asses response bias, a behavioral form of reward learning, across 3 separate samples that were combined for analyses (age: 21.80 ± 3.95; n=392; 268 female; European-American, n=208). We replicate prior reports that COMT rs4680 Met allele homozygosity is associated with increased reward learning in European-American participants (β=0.20, t= 2.75, p< 0.01; ΔR2= 0.04). Moreover, a meta-analysis of 4 studies, including the current one, confirmed the association between COMT rs4680 genotype and reward learning (95% CI −0.11 to −0.03; z=3.2; p<0.01). These results suggest that variability in dopamine signaling associated with COMT rs4680 influences individual differences in reward which may potentially contribute to psychopathology characterized by reward dysfunction. PMID:27138112

  9. Social transmission of avoidance behavior under situational change in learned and unlearned rats.

    Directory of Open Access Journals (Sweden)

    Akira Masuda

    Full Text Available BACKGROUND: Rats receive information from other conspecifics by observation or other types of social interaction. Such social interaction may contribute to the effective adaptation to changes of environment such as situational switching. Learning to avoid dangerous places or objects rapidly occurs with even a single conditioning session, and the conditioned memory tends to be sustained over long periods. The avoidance is important for adaptation, but the details of the conditions under which the social transmission of avoidance is formed are unknown. We demonstrate that the previous experience of avoidance learning is important for the formation of behaviors for social transmission of avoidance and that the experienced rats adapt to a change of situation determined by the presence or absence of aversive stimuli. We systematically investigated social influence on avoidance behavior using a passive avoidance test in a light/dark two-compartment apparatus. METHODOLOGY/PRINCIPAL FINDINGS: Rats were divided into two groups, one receiving foot shocks and another with no aversive experience in a dark compartment. Experienced and inexperienced rats were further divided into subjects and partners. In Experiment 1, each subject experienced (1 interaction with an experienced partner, (2 interaction with an inexperienced partner, or (3 no interaction. In Experiment 2, each subject experienced interaction with a partner that received a shock. The entering latency to a light compartment was measured. The avoidance behavior of experienced rats was inhibited by interaction with inexperienced or experienced partners in a safely-changed situation. The avoidance of experienced rats was reinstated in a dangerously-changed situation by interaction with shocked rats. In contrast, the inexperienced rats were not affected by any social circumstances. CONCLUSIONS/SIGNIFICANCE: These results suggest that transmitted information among rats can be updated under a

  10. The Academic Procrastination in Junior High School Students' Mathematics Learning: A Qualitative Study

    Science.gov (United States)

    Asri, Dahlia Novarianing; Setyosari, Punaji; Hitipeuw, Imanuel; Chusniyah, Tutut

    2017-01-01

    Among the main causes of low learning achievement in mathematics learning is a delayed behavior to do tasks, commonly called academic procrastination. The objectives of this research are to describe and to explain the causal factors and consequences of academic procrastination in learning mathematics for junior high school students. This research…

  11. Effects of Jigsaw Learning Method on Students’ Self-Efficacy and Motivation to Learn

    Directory of Open Access Journals (Sweden)

    Dwi Nur Rachmah

    2017-12-01

    Full Text Available Jigsaw learning as a cooperative learning method, according to the results of some studies, can improve academic skills, social competence, behavior in learning, and motivation to learn. However, in some other studies, there are different findings regarding the effect of jigsaw learning method on self-efficacy. The purpose of this study is to examine the effects of jigsaw learning method on self-efficacy and motivation to learn in psychology students at the Faculty of Medicine, Universitas Lambung Mangkurat. The method used in the study is the experimental method using one group pre-test and post-test design. The results of the measurements before and after the use of jigsaw learning method were compared using paired samples t-test. The results showed that there is a difference in students’ self-efficacy and motivation to learn before and after subjected to the treatments; therefore, it can be said that jigsaw learning method had significant effects on self-efficacy and motivation to learn. The application of jigsaw learning model in a classroom with large number of students was the discussion of this study.

  12. Theta synchronization between medial prefrontal cortex and cerebellum is associated with adaptive performance of associative learning behavior

    Science.gov (United States)

    Chen, Hao; Wang, Yi-jie; Yang, Li; Sui, Jian-feng; Hu, Zhi-an; Hu, Bo

    2016-01-01

    Associative learning is thought to require coordinated activities among distributed brain regions. For example, to direct behavior appropriately, the medial prefrontal cortex (mPFC) must encode and maintain sensory information and then interact with the cerebellum during trace eyeblink conditioning (TEBC), a commonly-used associative learning model. However, the mechanisms by which these two distant areas interact remain elusive. By simultaneously recording local field potential (LFP) signals from the mPFC and the cerebellum in guinea pigs undergoing TEBC, we found that theta-frequency (5.0–12.0 Hz) oscillations in the mPFC and the cerebellum became strongly synchronized following presentation of auditory conditioned stimulus. Intriguingly, the conditioned eyeblink response (CR) with adaptive timing occurred preferentially in the trials where mPFC-cerebellum theta coherence was stronger. Moreover, both the mPFC-cerebellum theta coherence and the adaptive CR performance were impaired after the disruption of endogenous orexins in the cerebellum. Finally, association of the mPFC -cerebellum theta coherence with adaptive CR performance was time-limited occurring in the early stage of associative learning. These findings suggest that the mPFC and the cerebellum may act together to contribute to the adaptive performance of associative learning behavior by means of theta synchronization. PMID:26879632

  13. Exploring the Peer Interaction Effects on Learning Achievement in a Social Learning Platform Based on Social Network Analysis

    Science.gov (United States)

    Lin, Yu-Tzu; Chen, Ming-Puu; Chang, Chia-Hu; Chang, Pu-Chen

    2017-01-01

    The benefits of social learning have been recognized by existing research. To explore knowledge distribution in social learning and its effects on learning achievement, we developed a social learning platform and explored students' behaviors of peer interactions by the proposed algorithms based on social network analysis. An empirical study was…

  14. Incidental Learning of Rewarded Associations Bolsters Learning on an Associative Task

    Science.gov (United States)

    Freedberg, Michael; Schacherer, Jonathan; Hazeltine, Eliot

    2016-01-01

    Reward has been shown to change behavior as a result of incentive learning (by motivating the individual to increase their effort) and instrumental learning (by increasing the frequency of a particular behavior). However, Palminteri et al. (2011) demonstrated that reward can also improve the incidental learning of a motor skill even when…

  15. Morphology Independent Learning in Modular Robots

    DEFF Research Database (Denmark)

    Christensen, David Johan; Bordignon, Mirko; Schultz, Ulrik Pagh

    2009-01-01

    speed its modules independently and in parallel adjust their behavior based on a single global reward signal. In simulation, we study the learning strategy’s performance on different robot configurations. On the physical platform, we perform learning experiments with ATRON robots learning to move as fast...

  16. Morphology Independent Learning in Modular Robots

    DEFF Research Database (Denmark)

    Christensen, David Johan; Bordignon, Mirko; Schultz, Ulrik Pagh

    2009-01-01

    speed its modules independently and in parallel adjust their behavior based on a single global reward signal. In simulation, we study the learning strategy?s performance on different robot con?gurations. On the physical platform, we perform learning experiments with ATRON robots learning to move as fast...

  17. A case study of learning writing in service-learning through CMC

    Science.gov (United States)

    Li, Yunxiang; Ren, LiLi; Liu, Xiaomian; Song, Yinjie; Wang, Jie; Li, Jiaxin

    2011-06-01

    Computer-mediated communication ( CMC ) through online has developed successfully with its adoption by educators. Service Learning is a teaching and learning strategy that integrates community service with academic instruction and reflection to enrich students further understanding of course content, meet genuine community needs, develop career-related skills, and become responsible citizens. This study focuses on an EFL writing learning via CMC in an online virtual environment of service places by taking the case study of service Learning to probe into the scoring algorithm in CMC. The study combines the quantitative and qualitative research to probe into the practical feasibility and effectiveness of EFL writing learning via CMC in service learning in China.

  18. Active Reading Behaviors in Tablet-Based Learning

    Science.gov (United States)

    Palilonis, Jennifer; Bolchini, Davide

    2015-01-01

    Active reading is fundamental to learning. However, there is little understanding about whether traditional active reading frameworks sufficiently characterize how learners study multimedia tablet textbooks. This paper explores the nature of active reading in the tablet environment through a qualitative study that engaged 30 students in an active…

  19. A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention-A Neuroeducation Study.

    Science.gov (United States)

    Anderson, Sarah J; Hecker, Kent G; Krigolson, Olave E; Jamniczky, Heather A

    2018-01-01

    In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise.

  20. Dissociable Learning Processes Underlie Human Pain Conditioning.

    Science.gov (United States)

    Zhang, Suyi; Mano, Hiroaki; Ganesh, Gowrishankar; Robbins, Trevor; Seymour, Ben

    2016-01-11

    Pavlovian conditioning underlies many aspects of pain behavior, including fear and threat detection [1], escape and avoidance learning [2], and endogenous analgesia [3]. Although a central role for the amygdala is well established [4], both human and animal studies implicate other brain regions in learning, notably ventral striatum and cerebellum [5]. It remains unclear whether these regions make different contributions to a single aversive learning process or represent independent learning mechanisms that interact to generate the expression of pain-related behavior. We designed a human parallel aversive conditioning paradigm in which different Pavlovian visual cues probabilistically predicted thermal pain primarily to either the left or right arm and studied the acquisition of conditioned Pavlovian responses using combined physiological recordings and fMRI. Using computational modeling based on reinforcement learning theory, we found that conditioning involves two distinct types of learning process. First, a non-specific "preparatory" system learns aversive facial expressions and autonomic responses such as skin conductance. The associated learning signals-the learned associability and prediction error-were correlated with fMRI brain responses in amygdala-striatal regions, corresponding to the classic aversive (fear) learning circuit. Second, a specific lateralized system learns "consummatory" limb-withdrawal responses, detectable with electromyography of the arm to which pain is predicted. Its related learned associability was correlated with responses in ipsilateral cerebellar cortex, suggesting a novel computational role for the cerebellum in pain. In conclusion, our results show that the overall phenotype of conditioned pain behavior depends on two dissociable reinforcement learning circuits. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  1. Behavioral semantics of learning and crossmodal processing in auditory cortex: the semantic processor concept.

    Science.gov (United States)

    Scheich, Henning; Brechmann, André; Brosch, Michael; Budinger, Eike; Ohl, Frank W; Selezneva, Elena; Stark, Holger; Tischmeyer, Wolfgang; Wetzel, Wolfram

    2011-01-01

    Two phenomena of auditory cortex activity have recently attracted attention, namely that the primary field can show different types of learning-related changes of sound representation and that during learning even this early auditory cortex is under strong multimodal influence. Based on neuronal recordings in animal auditory cortex during instrumental tasks, in this review we put forward the hypothesis that these two phenomena serve to derive the task-specific meaning of sounds by associative learning. To understand the implications of this tenet, it is helpful to realize how a behavioral meaning is usually derived for novel environmental sounds. For this purpose, associations with other sensory, e.g. visual, information are mandatory to develop a connection between a sound and its behaviorally relevant cause and/or the context of sound occurrence. This makes it plausible that in instrumental tasks various non-auditory sensory and procedural contingencies of sound generation become co-represented by neuronal firing in auditory cortex. Information related to reward or to avoidance of discomfort during task learning, that is essentially non-auditory, is also co-represented. The reinforcement influence points to the dopaminergic internal reward system, the local role of which for memory consolidation in auditory cortex is well-established. Thus, during a trial of task performance, the neuronal responses to the sounds are embedded in a sequence of representations of such non-auditory information. The embedded auditory responses show task-related modulations of auditory responses falling into types that correspond to three basic logical classifications that may be performed with a perceptual item, i.e. from simple detection to discrimination, and categorization. This hierarchy of classifications determine the semantic "same-different" relationships among sounds. Different cognitive classifications appear to be a consequence of learning task and lead to a recruitment of

  2. Social Learning Theory: A Multicultural Study of Influences on Ethical Behavior

    Science.gov (United States)

    Hanna, Richard C.; Crittenden, Victoria L.; Crittenden, William F.

    2013-01-01

    We propose Social Learning Theory as a theoretical foundation for understanding the ethical standards of future business leaders. Using data drawn from students from 115 four-year undergraduate institutions in 36 different countries, the relationships among role models, capitalism, and laws were examined. The data suggest that future business…

  3. A dual-task paradigm for behavioral and neurobiological studies in nonhuman primates.

    Science.gov (United States)

    Watanabe, Kei; Funahashi, Shintaro

    2015-05-15

    The dual-task paradigm is a procedure in which subjects are asked to perform two behavioral tasks concurrently, each of which involves a distinct goal with a unique stimulus-response association. Due to the heavy demand on subject's cognitive abilities, human studies using this paradigm have provided detailed insights regarding how the components of cognitive systems are functionally organized and implemented. Although dual-task paradigms are widely used in human studies, they are seldom used in nonhuman animal studies. We propose a novel dual-task paradigm for monkeys that requires the simultaneous performance of two cognitively demanding component tasks, each of which uses an independent effector for behavioral responses (hand and eyes). We provide a detailed description of an optimal training protocol for this paradigm, which has been lacking in the existing literature. An analysis of behavioral performance showed that the proposed dual-task paradigm (1) was quickly learned by monkeys (less than 40 sessions) with step-by-step training protocols, (2) produced specific behavioral effects, known as dual-task interference in human studies, and (3) achieved rigid and independent control of the effectors for behavioral responses throughout the trial. The proposed dual-task paradigm has a scalable task structure, in that each of the two component tasks can be easily replaced by other tasks, while preserving the overall structure of the paradigm. This paradigm should be useful for investigating executive control that underlies dual-task performance at both the behavioral and neuronal levels. Copyright © 2015 Elsevier B.V. All rights reserved.

  4. The effects of a shared, Intranet science learning environment on the academic behaviors of problem-solving and metacognitive reflection

    Science.gov (United States)

    Parker, Mary Jo

    This study investigated the effects of a shared, Intranet science environment on the academic behaviors of problem-solving and metacognitive reflection. Seventy-eight subjects included 9th and 10th grade male and female biology students. A quasi-experimental design with pre- and post-test data collection and randomization occurring through assignment of biology classes to traditional or shared, Intranet learning groups was employed. Pilot, web-based distance education software (CourseInfo) created the Intranet learning environment. A modified ecology curriculum provided contextualization and content for traditional and shared learning environments. The effect of this environment on problem-solving, was measured using the standardized Watson-Glaser Critical Thinking Appraisal test. Metacognitive reflection, was measured in three ways: (a) number of concepts used, (b) number of concept links noted, and (c) number of concept nodes noted. Visual learning software, Inspiration, generated concept maps. Secondary research questions evaluated the pilot CourseInfo software for (a) tracked user movement, (b) discussion forum findings, and (c) difficulties experienced using CourseInfo software. Analysis of problem-solving group means reached no levels of significance resulting from the shared, Intranet environment. Paired t-Test of individual differences in problem-solving reached levels of significance. Analysis of metacognitive reflection by number of concepts reached levels of significance. Metacognitive reflection by number of concept links noted also reach significance. No significance was found for metacognitive reflection by number of concept nodes. No gender differences in problem-solving ability and metacognitive reflection emerged. Lack of gender differences in the shared, Intranet environment strongly suggests an equalizing effect due to the cooperative, collaborative nature of Intranet environments. Such environments appeal to, and rank high with, the female

  5. Role Models and Teachers: medical students perception of teaching-learning methods in clinical settings, a qualitative study from Sri Lanka.

    Science.gov (United States)

    Jayasuriya-Illesinghe, Vathsala; Nazeer, Ishra; Athauda, Lathika; Perera, Jennifer

    2016-02-09

    Medical education research in general, and those focusing on clinical settings in particular, have been a low priority in South Asia. This explorative study from 3 medical schools in Sri Lanka, a South Asian country, describes undergraduate medical students' experiences during their final year clinical training with the aim of understanding the teaching-learning experiences. Using qualitative methods we conducted an exploratory study. Twenty eight graduates from 3 medical schools participated in individual interviews. Interview recordings were transcribed verbatim and analyzed using qualitative content analysis method. Emergent themes reveled 2 types of teaching-learning experiences, role modeling, and purposive teaching. In role modelling, students were expected to observe teachers while they conduct their clinical work, however, this method failed to create positive learning experiences. The clinical teachers who predominantly used this method appeared to be 'figurative' role models and were not perceived as modelling professional behaviors. In contrast, purposeful teaching allowed dedicated time for teacher-student interactions and teachers who created these learning experiences were more likely to be seen as 'true' role models. Students' responses and reciprocations to these interactions were influenced by their perception of teachers' behaviors, attitudes, and the type of teaching-learning situations created for them. Making a distinction between role modeling and purposeful teaching is important for students in clinical training settings. Clinical teachers' awareness of their own manifest professional characterizes, attitudes, and behaviors, could help create better teaching-learning experiences. Moreover, broader systemic reforms are needed to address the prevailing culture of teaching by humiliation and subordination.

  6. Learning Transfer: The Missing Link to Learning among School Leaders in Burkina Faso and Ghana

    Directory of Open Access Journals (Sweden)

    Corinne Brion

    2018-01-01

    Full Text Available Every year, billions of dollars are spent on development aid and training around the world. However, only 10% of this training results in the transfer of knowledge, skills, or behaviors learned in the training to the work place. Ideally, learning transfer produces effective and continued application by learners of the knowledge and skills they gained through their learning activities. Currently, there is a limited body of research examining the factors that hinder and promote learning transfer in professional development, particularly the professional development of school leaders in developing countries. This qualitative exploratory study sought to address the gap in the literature by examining six schools: three in Burkina Faso and three in Ghana, West Africa. This investigation explored what promoted and hindered learning transfer in both countries. The sample consisted of 13 West-African school leaders (6 in Burkina Faso and 7 in Ghana who attended a 3-day leadership training workshop. Data collection included in-depth interviews, document analysis, post-training site visits, and text messages to ascertain whether this mobile technology intervention enhanced learning transfer. The findings demonstrated that learning transfer occurred in both countries in all six schools. Data indicated that most of the transfer of learning happened in areas not requiring mindset and behavioral changes. Data suggested that the facilities in which the trainings took place, the facilitators’ dispositions and knowledge, the adequacy of the materials as well as the testimonials and certificate of completions enhanced the transfer of learning. Participants also indicated some inhibitors to the transfer of learning, such as financial, cultural, and human behavior constraints. This study helps increase our understanding of what promotes and inhibits learning transfer in educational settings in Burkina Faso and Ghana and provides suggestions for trainers and

  7. A review of studies in the field of knowledge and safe behaviors of workers in Iran

    Directory of Open Access Journals (Sweden)

    Mohammad Vahedian-Shahroodi

    2016-05-01

    Full Text Available Background and objective: One of the ways to prevent and control occupational accidents and educate people informing them of the risks and how to work safely. The aim of this study was to study the effectiveness of educational interventions to promote safe behavior and knowledge workers is studied. Methods: A systematic search of PubMed SID database and to obtain titles and abstracts containing data related to worker safety behaviors by examining the full text of 22 articles were selected and the results of which were analyzed Results: The group of workers includes training class. The impact of educational interventions: improving the safety of workers and the development of a safety culture in the workplace can be named. Most of the training programs designed for group discussion and the principles of adult learning. Conclusion: summary and analysis of the literature showed the need to promote safe behavior of workers. Since this behavior is very important, intervention is capable of knowledge, attitude, and perceived behavioral control about unsafe behavior change and improve the performance of their safety Paper Type: review Article.

  8. Effect of Tools for Getting along on Student Risk for Emotional and Behavioral Problems in Upper Elementary Classrooms: A Replication Study

    Science.gov (United States)

    Smith, Stephen W.; Daunic, Ann P.; Aydin, Burak; Van Loan, Christopher L.; Barber, Brian R.; Taylor, Gregory G.

    2016-01-01

    Social-emotional learning curricula to prevent student problematic behaviors should play a prominent role in public school instruction. While social-emotional curricula have been shown to be effective, there are few replication studies that substantiate their capacity to improve outcomes for students who exhibit problem behaviors. Thus, we…

  9. Learning to observe mathematical learning in lesson studies

    DEFF Research Database (Denmark)

    Rasmussen, Klaus; Østergaard, Camilla Hellsten; Foss, Kristian Kildemoes

    2016-01-01

    This poster deals with lesson study (LS) in pre-service teacher education. In particular how to prepare for, carry out, and reflect upon, observations of pupil learning. Observation is of crucial importance to the lesson study process, and here we present a study of observation features which ena...... enable or hinder fruitful lesson study. While substantial research has been carried out in the general field of bserving pupils’ learning processes and teachers’ pedagogical practice, little is known about this in the particular setting of lesson study....

  10. Studying fish social behavior and cognition: implications for fish welfare and conservation

    Directory of Open Access Journals (Sweden)

    Rui F Oliveira

    2015-12-01

    Full Text Available Within vertebrates teleost fish are the most diverse and plastic taxa in terms of social behavior. With over 29,000 species described so far, one can find all different types of social organization, mating systems and parental care types. Moreover, it is relatively common to find variation of these characters within closely related species, which makes them suitable for comparative studies on the evolution of social behavior (e.g. variation in mating systems and parental care type in African cichlids. Fish are also champions of social plasticity, as can be illustrated by the flexible patterns of sexual expression, as in the case of protrandrous and protogynous sex-change, simultaneous hermaphroditism and intra-sexual variation in the form of discrete alternative male phenotypes. Complex cognitive abilities used in social interactions have also evolved in fish, such as individual recognition, transitive inference and social learning. Therefore, teleosts offer unique opportunities to study both the evolution and the function of social behavior and cognition. In this talk I will summarize the work that our lab has been doing to establish zebrafish as a model organism for the study of social behavior and cognition and I will illustrate how knowledge on this are can be applied to fish welfare and to conservation issues.

  11. Does Lesson Study contribute to activating and cognitively demanding teaching behavior? A single case study

    NARCIS (Netherlands)

    de Vries, Siebrich; Roorda, Gerrit

    2015-01-01

    Activating and cognitively demanding teaching behavior is problematic for many teachers in Dutch secondary education, in particular for the less experienced advanced beginners. In the context of a Professional Learning Community (PLC) for both less and more experienced teachers of mathematics,

  12. SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications.

    Directory of Open Access Journals (Sweden)

    Ahmad Karim

    Full Text Available Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS, disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks' back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps' detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies.

  13. SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications.

    Science.gov (United States)

    Karim, Ahmad; Salleh, Rosli; Khan, Muhammad Khurram

    2016-01-01

    Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks' back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps' detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies.

  14. SMARTbot: A Behavioral Analysis Framework Augmented with Machine Learning to Identify Mobile Botnet Applications

    Science.gov (United States)

    Karim, Ahmad; Salleh, Rosli; Khan, Muhammad Khurram

    2016-01-01

    Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone technologies after leaving imperative impact on personal computers. It refers to the network of computers, laptops, mobile devices or tablets which is remotely controlled by the cybercriminals to initiate various distributed coordinated attacks including spam emails, ad-click fraud, Bitcoin mining, Distributed Denial of Service (DDoS), disseminating other malwares and much more. Likewise traditional PC based botnet, Mobile botnets have the same operational impact except the target audience is particular to smartphone users. Therefore, it is import to uncover this security issue prior to its widespread adaptation. We propose SMARTbot, a novel dynamic analysis framework augmented with machine learning techniques to automatically detect botnet binaries from malicious corpus. SMARTbot is a component based off-device behavioral analysis framework which can generate mobile botnet learning model by inducing Artificial Neural Networks’ back-propagation method. Moreover, this framework can detect mobile botnet binaries with remarkable accuracy even in case of obfuscated program code. The results conclude that, a classifier model based on simple logistic regression outperform other machine learning classifier for botnet apps’ detection, i.e 99.49% accuracy is achieved. Further, from manual inspection of botnet dataset we have extracted interesting trends in those applications. As an outcome of this research, a mobile botnet dataset is devised which will become the benchmark for future studies. PMID:26978523

  15. Experimental Method For Studying Habitual Behavior In Food Consumption

    Directory of Open Access Journals (Sweden)

    Naziha Kasraoui

    2015-03-01

    Full Text Available Abstract To investigate the process of habit formation in everyday life a sample of 126 participants students chooses an eating and drinking for three periods weeks. They completed the self-report habit each period and we have recorded their choices. All participants provided sufficient data for analysis and collected experimental data were examined over the study periods 3 weeks. Experimental analysis was used to examine the persistence of habit formation process in the behavior of participants. The game is carried out with 126 students and repeated for three periods. Using experimental laboratory data approach and economic analysis elasticity results show that into the presence of labor income and for 126 students of whom approximately 70 showed that habit formation process is persist in their behaviors along the three periods. The rest 30 of them who dont present habit formation in their behavior for the three periods did not materially affect our conclusion about the assumption of habit formation process. Participants to the game persistently spend too much in early periods they learn rapidly from their own experience to consume the same choice of meals and drinks. Their spending is closely linked to optimal consumption non conditional on earlier spending and they choose the same basket of goods in the future horizon which shows that theres a habit formation in the behaviors of participants.

  16. Improving Maladaptive Behaviors Using Sensory Integration Techniques.

    Science.gov (United States)

    Shuman, Theresa

    A study examined the use of sensory integration techniques to reduce the maladaptive behaviors that interfered with the learning of nine high school students with mental impairments attending a special school. Maladaptive behaviors identified included rocking, toe walking, echolalia, resistance to change, compulsive behaviors, aggression,…

  17. Cognitive-behavioral and operant-behavioral therapy for people with fibromyalgia

    Directory of Open Access Journals (Sweden)

    D.C. Turk

    2012-09-01

    Full Text Available The current article reviews the cognitive-behavioral (CB and operant-behavioral perspectives on chronic pain and suggests an answer to the question why changes in behaviors, attitudes, and emotions are associated with decreases in pain severity and impact discussing potential psychobiological mechanisms that may underlie cognitive and behavioral techniques. The impact of learning such as classical and operant conditioning in behaviors and physical responses including baroreflex sensitivity (BRS, as well as the influence of cognitions on pain perception and impact will be presented to explain general efficacy of cognitive-behavior therapy (CBT and operant-behavioral therapy (OBT in the treatment of people with fibromyalgia (FM describing some of the limitations of published outcome studies. We discuss advances in moderation and mediation of treatment outcomes. Lastly, we will discuss the need for research that takes into account evidence-based medicine, methods that address treatment responders and non-responders, individual trajectories, how we might advance and refine CBT and OBT, and strategies related to relapse prevention, maintenance, and adherence-enhancement taking advantage of evolving, technological methods of service delivery. We provide recommendations of how to move forward in approaching studies of CBT and OBT efficacy as a function of better understanding of patient characteristics and contextual factors. We advocate for the potential of the CB perspective and principle of learning for all health care providers regardless of discipline or training and will give examples for making more effective the patient-rheumatologist-relationship by using the principles discussed.

  18. Three-dimensional visualization and a deep-learning model reveal complex fungal parasite networks in behaviorally manipulated ants.

    Science.gov (United States)

    Fredericksen, Maridel A; Zhang, Yizhe; Hazen, Missy L; Loreto, Raquel G; Mangold, Colleen A; Chen, Danny Z; Hughes, David P

    2017-11-21

    Some microbes possess the ability to adaptively manipulate host behavior. To better understand how such microbial parasites control animal behavior, we examine the cell-level interactions between the species-specific fungal parasite Ophiocordyceps unilateralis sensu lato and its carpenter ant host ( Camponotus castaneus ) at a crucial moment in the parasite's lifecycle: when the manipulated host fixes itself permanently to a substrate by its mandibles. The fungus is known to secrete tissue-specific metabolites and cause changes in host gene expression as well as atrophy in the mandible muscles of its ant host, but it is unknown how the fungus coordinates these effects to manipulate its host's behavior. In this study, we combine techniques in serial block-face scanning-electron microscopy and deep-learning-based image segmentation algorithms to visualize the distribution, abundance, and interactions of this fungus inside the body of its manipulated host. Fungal cells were found throughout the host body but not in the brain, implying that behavioral control of the animal body by this microbe occurs peripherally. Additionally, fungal cells invaded host muscle fibers and joined together to form networks that encircled the muscles. These networks may represent a collective foraging behavior of this parasite, which may in turn facilitate host manipulation. Copyright © 2017 the Author(s). Published by PNAS.

  19. Loss of Transient Receptor Potential Ankyrin 1 Channel Deregulates Emotion, Learning and Memory, Cognition, and Social Behavior in Mice.

    Science.gov (United States)

    Lee, Kuan-I; Lin, Hui-Ching; Lee, Hsueh-Te; Tsai, Feng-Chuan; Lee, Tzong-Shyuan

    2017-07-01

    The transient receptor potential ankyrin 1 (TRPA1) channel is a non-selective cation channel that helps regulate inflammatory pain sensation and nociception and the development of inflammatory diseases. However, the potential role of the TRPA1 channel and the underlying mechanism in brain functions are not fully resolved. In this study, we demonstrated that genetic deletion of the TRPA1 channel in mice or pharmacological inhibition of its activity increased neurite outgrowth. In vivo study in mice provided evidence of the TRPA1 channel as a negative regulator in hippocampal functions; functional ablation of the TRPA1 channel in mice enhanced hippocampal functions, as evidenced by less anxiety-like behavior, and enhanced fear-related or spatial learning and memory, and novel location recognition as well as social interactions. However, the TRPA1 channel appears to be a prerequisite for motor function; functional loss of the TRPA1 channel in mice led to axonal bundle fragmentation, downregulation of myelin basic protein, and decreased mature oligodendrocyte population in the brain, for impaired motor function. The TRPA1 channel may play a crucial role in neuronal development and oligodendrocyte maturation and be a potential regulator in emotion, cognition, learning and memory, and social behavior.

  20. Experiential environmental learning: A case study of innovative pedagogy in Baja Sur, Mexico

    Science.gov (United States)

    Schneller, Andrew Jon

    This mixed methods case study describes an innovative two-semester middle school environmental learning course that departs from traditional Mexican expository pedagogy through the incorporation of experiential and service learning. This research takes place in a small middle school in Pescadero, Baja California Sur, Mexico. The research approach utilized in the study adds to the handful of studies in this cross-disciplinary field by employing quantitative methodologies to measure course outcomes on student environmental knowledge, perceptions, and actions, while simultaneously qualitatively describing the behavioral, educational, environmental, and social experiences of students. This research employs Dewey's theories of experience---as well as those of more contemporary authenticity theorists---in order to identify the philosophies that advocate incorporating experiential pedagogy within the curriculum. Implications for Mexican educational policy, practical pedagogical applications, and theory are discussed.

  1. Prospective study of sunburn and sun behavior patterns during adolescence.

    Science.gov (United States)

    Dusza, Stephen W; Halpern, Allan C; Satagopan, Jaya M; Oliveria, Susan A; Weinstock, Martin A; Scope, Alon; Berwick, Marianne; Geller, Alan C

    2012-02-01

    Early childhood UV light radiation (UVR) exposures have been shown to be associated with melanoma development later in life. The objective of this study was to assess sunburn and changes in sunburn and sun behaviors during periadolescence. A prospective, population-based study was conducted in fifth-grade children (∼10 years of age) from Framingham, Massachusetts. Surveys were administered at baseline (September-October 2004) and again 3 years later (September-October 2007). Surveys were analyzed to assess prevalence of reported sunburn and sun behaviors and to examine changes in response over the follow-up period. Data were analyzed from 360 participants who had complete information regarding sunburn at both time points. In 2004, ∼53% of the students reported having at least 1 sunburn during the previous summer, and this proportion did not significantly change by 2007 (55%, P = .79), whereas liking a tan and spending time outside to get a tan significantly increased (P sunburns before age 11 and again 3 years later, targeting children in pediatric offices and community settings regarding unprotected UV exposure may be a practical approach. Because periadolescence is a time of volatility with regard to sun behaviors, learning more about children who receive sunburns versus those who avoid them is a critical research task.

  2. Three Theories of Learning and Their Implications for Teachers.

    Science.gov (United States)

    Ramirez, Aura I.

    Currently, three theories of learning dominate classroom practice. First, B.F. Skinner's Theory of Operant Conditioning states that if behavior, including learning behavior, is reinforced, the probability of its being repeated increases strongly. Different types and schedules of reinforcement have been studied, by Skinner and others, and the…

  3. MEDLINE MeSH Indexing: Lessons Learned from Machine Learning and Future Directions

    DEFF Research Database (Denmark)

    Jimeno-Yepes, Antonio; Mork, James G.; Wilkowski, Bartlomiej

    2012-01-01

    and analyzed the issues when using standard machine learning algorithms. We show that in some cases machine learning can improve the annotations already recommended by MTI, that machine learning based on low variance methods achieves better performance and that each MeSH heading presents a different behavior......Map and a k-NN approach called PubMed Related Citations (PRC). Our motivation is to improve the quality of MTI based on machine learning. Typical machine learning approaches fit this indexing task into text categorization. In this work, we have studied some Medical Subject Headings (MeSH) recommended by MTI...

  4. Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques

    CSIR Research Space (South Africa)

    Ngxande, Mkhuseli

    2017-11-01

    Full Text Available This paper presents a literature review of driver drowsiness detection based on behavioral measures using machine learning techniques. Faces contain information that can be used to interpret levels of drowsiness. There are many facial features...

  5. Assortative social learning and its implications for human (and animal?) societies.

    Science.gov (United States)

    Katsnelson, Edith; Lotem, Arnon; Feldman, Marcus W

    2014-07-01

    Choosing from whom to learn is an important element of social learning. It affects learner success and the profile of behaviors in the population. Because individuals often differ in their traits and capabilities, their benefits from different behaviors may also vary. Homophily, or assortment, the tendency of individuals to interact with other individuals with similar traits, is known to affect the spread of behaviors in humans. We introduce models to study the evolution of assortative social learning (ASL), where assorting on a trait acts as an individual-specific mechanism for filtering relevant models from which to learn when that trait varies. We show that when the trait is polymorphic, ASL may maintain a stable behavioral polymorphism within a population (independently of coexistence with individual learning in a population). We explore the evolution of ASL when assortment is based on a nonheritable or partially heritable trait, and when ASL competes with different non-ASL strategies: oblique (learning from the parental generation) and vertical (learning from the parent). We suggest that the tendency to assort may be advantageous in the context of social learning, and that ASL might be an important concept for the evolutionary theory of social learning. © 2014 The Author(s). Evolution © 2014 The Society for the Study of Evolution.

  6. The Idiographic Study of Leadership Behavior in Natural Settings: An Empirical Analysis Using a Single Case Experimental Design.

    Science.gov (United States)

    1982-08-01

    Management , 1977, 1, 105-109. LAuthans, F. Leadership : A proposal for a social learning theory base and observational and functional analysis...Manz, C.C., & Sims, H.P. Self management as a substitute for leadership : A social learning theory perspective. Academy of Management Review, 1980, 5...AD-AI19 89 NEBRASKA UNIV LINCOLN DEPT OF MANAGEMENT F/G 5/1 THE IDIOGRAPHIC STUDY OF LEADERSHIP BEHAVIOR IN NATURAL SETTING-ETCIU)AUG 82 T R DAVI , F

  7. A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention—A Neuroeducation Study

    Science.gov (United States)

    Anderson, Sarah J.; Hecker, Kent G.; Krigolson, Olave E.; Jamniczky, Heather A.

    2018-01-01

    In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT) methods incorporate pre-class exercises (typically online) meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG) as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP) components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise. PMID:29467638

  8. A Reinforcement-Based Learning Paradigm Increases Anatomical Learning and Retention—A Neuroeducation Study

    Directory of Open Access Journals (Sweden)

    Sarah J. Anderson

    2018-02-01

    Full Text Available In anatomy education, a key hurdle to engaging in higher-level discussion in the classroom is recognizing and understanding the extensive terminology used to identify and describe anatomical structures. Given the time-limited classroom environment, seeking methods to impart this foundational knowledge to students in an efficient manner is essential. Just-in-Time Teaching (JiTT methods incorporate pre-class exercises (typically online meant to establish foundational knowledge in novice learners so subsequent instructor-led sessions can focus on deeper, more complex concepts. Determining how best do we design and assess pre-class exercises requires a detailed examination of learning and retention in an applied educational context. Here we used electroencephalography (EEG as a quantitative dependent variable to track learning and examine the efficacy of JiTT activities to teach anatomy. Specifically, we examined changes in the amplitude of the N250 and reward positivity event-related brain potential (ERP components alongside behavioral performance as novice students participated in a series of computerized reinforcement-based learning modules to teach neuroanatomical structures. We found that as students learned to identify anatomical structures, the amplitude of the N250 increased and reward positivity amplitude decreased in response to positive feedback. Both on a retention and transfer exercise when learners successfully remembered and translated their knowledge to novel images, the amplitude of the reward positivity remained decreased compared to early learning. Our findings suggest ERPs can be used as a tool to track learning, retention, and transfer of knowledge and that employing the reinforcement learning paradigm is an effective educational approach for developing anatomical expertise.

  9. The Applicability of Standard Error of Measurement and Minimal Detectable Change to Motor Learning Research-A Behavioral Study.

    Science.gov (United States)

    Furlan, Leonardo; Sterr, Annette

    2018-01-01

    Motor learning studies face the challenge of differentiating between real changes in performance and random measurement error. While the traditional p -value-based analyses of difference (e.g., t -tests, ANOVAs) provide information on the statistical significance of a reported change in performance scores, they do not inform as to the likely cause or origin of that change, that is, the contribution of both real modifications in performance and random measurement error to the reported change. One way of differentiating between real change and random measurement error is through the utilization of the statistics of standard error of measurement (SEM) and minimal detectable change (MDC). SEM is estimated from the standard deviation of a sample of scores at baseline and a test-retest reliability index of the measurement instrument or test employed. MDC, in turn, is estimated from SEM and a degree of confidence, usually 95%. The MDC value might be regarded as the minimum amount of change that needs to be observed for it to be considered a real change, or a change to which the contribution of real modifications in performance is likely to be greater than that of random measurement error. A computer-based motor task was designed to illustrate the applicability of SEM and MDC to motor learning research. Two studies were conducted with healthy participants. Study 1 assessed the test-retest reliability of the task and Study 2 consisted in a typical motor learning study, where participants practiced the task for five consecutive days. In Study 2, the data were analyzed with a traditional p -value-based analysis of difference (ANOVA) and also with SEM and MDC. The findings showed good test-retest reliability for the task and that the p -value-based analysis alone identified statistically significant improvements in performance over time even when the observed changes could in fact have been smaller than the MDC and thereby caused mostly by random measurement error, as opposed

  10. Effect of Play-based Therapy on Meta-cognitive and Behavioral Aspects of Executive Function: A Randomized, Controlled, Clinical Trial on the Students With Learning Disabilities.

    Science.gov (United States)

    Karamali Esmaili, Samaneh; Shafaroodi, Narges; Hassani Mehraban, Afsoon; Parand, Akram; Zarei, Masoume; Akbari-Zardkhaneh, Saeed

    2017-01-01

    Although the effect of educational methods on executive function (EF) is well known, training this function by a playful method is debatable. The current study aimed at investigating if a play-based intervention is effective on metacognitive and behavioral skills of EF in students with specific learning disabilities. In the current randomized, clinical trial, 49 subjects within the age range of 7 to 11 years with specific learning disabilities were randomly assigned into the intervention (25 subjects; mean age 8.5±1.33 years) and control (24 subjects; mean age 8.7±1.03 years) groups. Subjects in the intervention group received EF group training based on playing activities; subjects in the control group received no intervention. The behavior rating inventory of executive function (BRIEF) was administered to evaluate the behavioral and cognitive aspects of EF. The duration of the intervention was 6 hours per week for 9 weeks. Multivariate analysis of covariance was used to compare mean changes (before and after) in the BRIEF scores between the groups. The assumptions of multivariate analysis of covariance were examined. After controlling pre-test conditions, the intervention and control groups scored significantly differently on both the metacognition (P=0.002; effect size=0.20) and behavior regulation indices (P=0.01; effect size=0.12) of BRIEF. Play-based therapy is effective on the metacognitive and behavioral aspects of EF in students with specific learning disabilities. Professionals can use play-based therapy rather than educational approaches in clinical practice to enhance EF skills.

  11. Considering Alternate Futures to Classify Off-Task Behavior as Emotion Self-Regulation: A Supervised Learning Approach

    Science.gov (United States)

    Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C.

    2013-01-01

    Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…

  12. Social modulation of learned behavior by dopamine in the basal ganglia: insights from songbirds.

    Science.gov (United States)

    Leblois, Arthur

    2013-06-01

    Dysfunction of the dopaminergic system leads to motor, cognitive, and motivational symptoms in brain disorders such as Parkinson's disease. The basal ganglia (BG) are involved in sensorimotor learning and receive a strong dopaminergic signal, shown to play an important role in social interactions. The function of the dopaminergic input to the BG in the integration of social cues during sensorimotor learning remains however largely unexplored. Songbirds use learned vocalizations to communicate during courtship and aggressive behaviors. Like language learning in humans, song learning strongly depends on social interactions. In songbirds, a specialized BG-thalamo-cortical loop devoted to song is particularly tractable for elucidating the signals carried by dopamine in the BG, and the function of dopamine signaling in mediating social cues during skill learning and execution. Here, I review experimental findings uncovering the physiological effects and function of the dopaminergic signal in the songbird BG, in light of our knowledge of the BG-dopamine interactions in mammals. Interestingly, the compact nature of the striato-pallidal circuits in birds led to new insight on the physiological effects of the dopaminergic input on the BG network as a whole. In singing birds, D1-like receptor agonist and antagonist can modulate the spectral variability of syllables bi-directionally, suggesting that social context-dependent changes in spectral variability are triggered by dopaminergic input through D1-like receptors. As variability is crucial for exploration during motor learning, but must be reduced after learning to optimize performance, I propose that, the dopaminergic input to the BG could be responsible for the social-dependent regulation of the exploration/exploitation balance in birdsong, and possibly in learned skills in other vertebrates. Copyright © 2012 Elsevier Ltd. All rights reserved.

  13. The effects of formalized and trained non-reciprocal peer teaching on psychosocial, behavioral, pedagogical, and motor learning outcomes in physical education

    Directory of Open Access Journals (Sweden)

    Peter R Whipp

    2015-02-01

    Full Text Available Peer teaching is recognized as a powerful instructional method; however, there is a paucity of studies that have evaluated the outcomes experienced by peer-teachers and their student recipients in the context of trained, non-reciprocal, high school physical education. Accordingly, the effectiveness of a formalized and trained non-reciprocal peer teaching (T-PT program upon psychosocial, behavioral, pedagogical and student learning outcomes within high school physical education classes was investigated. Students from eight intact classes (106 males, 94 females, Mage = 12.46, SD = 0.59 were randomly assigned to either a T-PT intervention group (taught by a volunteer peer-teacher who was trained in line with a tactical games approach or untrained group (U-PT; where volunteer peer-teachers received no formal training, but did receive guidance on the game concepts to teach. Data were collected over 10 lessons in a 5-week soccer unit. Mixed-model ANOVAs/MANOVAs revealed that, in comparison to U-PT, the T-PT program significantly enhanced in-game performance actions and academic learning time among student recipients. Those in the T-PT also provided greater levels of feedback and structured learning time, as well as reporting more positive feelings about peer teaching and fewer perceived barriers to accessing learning outcomes. These findings show that non-reciprocal peer-teachers who receive formalized support through training and tactical games approach-based teaching resources can enhance behavioral, pedagogical, and motor performance outcomes in physical education.

  14. The effects of formalized and trained non-reciprocal peer teaching on psychosocial, behavioral, pedagogical, and motor learning outcomes in physical education.

    Science.gov (United States)

    Whipp, Peter R; Jackson, Ben; Dimmock, James A; Soh, Jenny

    2015-01-01

    Peer teaching is recognized as a powerful instructional method; however, there is a paucity of studies that have evaluated the outcomes experienced by peer-teachers and their student recipients in the context of trained, non-reciprocal, high school physical education (PE). Accordingly, the effectiveness of a formalized and trained non-reciprocal peer teaching (T-PT) program upon psychosocial, behavioral, pedagogical, and student learning outcomes within high school PE classes was investigated. Students from eight intact classes (106 males, 94 females, Mage = 12.46, SD = 0.59) were randomly assigned to either a T-PT intervention group (taught by a volunteer peer-teacher who was trained in line with a tactical games approach) or untrained group (U-PT; where volunteer peer-teachers received no formal training, but did receive guidance on the game concepts to teach). Data were collected over 10 lessons in a 5-week soccer unit. Mixed-model ANOVAs/MANOVAs revealed that, in comparison to U-PT, the T-PT program significantly enhanced in-game performance actions and academic learning time among student recipients. Those in the T-PT also provided greater levels of feedback and structured learning time, as well as reporting more positive feelings about peer teaching and fewer perceived barriers to accessing learning outcomes. These findings show that non-reciprocal peer-teachers who receive formalized support through training and tactical games approach-based teaching resources can enhance behavioral, pedagogical, and motor performance outcomes in PE.

  15. The Effect of Multimedia Based Learning in Chemistry Teaching and Learning on Students’ Self-Regulated Learning

    Directory of Open Access Journals (Sweden)

    Erfan Priyambodo

    2014-11-01

    Full Text Available In recent years, the uses of Multimedia Based Learning (MBL in classroom instruction increased widely. Overall, this implementation aims to improve students’ motivation and also their learning outcomes. This study was answering the effect of MBL toward students’ Self-Regulated Learning (SRL in chemistry teaching and learning. The experiment was conducted in class XI of senior high school in Yogyakarta. Researchers create some computer based media for chemistry materials and continued with expert judgement of the media. Students’ data SRL were measured using validated questionnaire. The questionnaire consists of three components, i.e. metacognitive, motivation and behavior. The results showed that there was significant differences in SRL of students before and after participating in chemistry teaching and learning which applying MBL.

  16. When and Where Learning is Taking Place: Multisynaptic Changes in Strength During Different Behaviors Related to the Acquisition of an Operant Conditioning Task by Behaving Rats.

    Science.gov (United States)

    Fernández-Lamo, Iván; Delgado-García, José M; Gruart, Agnès

    2018-03-01

    Although it is generally assumed that brain circuits are modified by new experiences, the question of which changes in synaptic efficacy take place in cortical and subcortical circuits across the learning process remains unanswered. Rats were trained in the acquisition of an operant conditioning in a Skinner box provided with light beams to detect animals' approaches to lever and feeder. Behaviors such as pressing the lever, eating, exploring, and grooming were also recorded. Animals were chronically implanted with stimulating and recording electrodes in hippocampal, prefrontal, and subcortical sites relevant to the task. Field synaptic potentials were evoked during the performance of the above-mentioned behaviors and before, during, and after the acquisition process. Afferent pathways to the hippocampus and the intrinsic hippocampal circuit were slightly modified in synaptic strength during the performance of those behaviors. In contrast, afferent and efferent circuits of the medial prefrontal cortex were significantly modified in synaptic strength across training sessions, mostly at the moment of the largest change in the learning curve. Performance of behaviors nondirectly related to the acquisition process (exploring, grooming) also evoked changes in synaptic strength across training. This study helps to understand when and where learning is being engraved in the brain. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  17. The Influence of Emotions and Learning Preferences on Learning Strategy Use before Transition into High-Achiever Track Secondary School

    Science.gov (United States)

    Obergriesser, Stefanie; Stoeger, Heidrun

    2016-01-01

    Research on the relationships between students' achievement emotions and their (self-regulated) learning behavior is growing. However, little is known about the relationships between students' learning preferences and achievement emotions and the extent to which these influence learning strategies. In this study we, first, looked at the…

  18. Learning design thinking online : studying students' learning experience in shared virtual reality

    OpenAIRE

    Lau, Kung Wong

    2010-01-01

    Learning Design Thinking Online: Studying Students' Learning Experience in Shared Virtual Reality My study attempts to deepen understanding about the learning experiences of design students in undertaking design-thinking exercises in a shared virtual reality. This study has identified the areas of an appropriate pedagogy for E-Learning and the use of a shared virtual environment for students in tertiary design education. Specific questions arising ji"Om this research are: (1...

  19. Human reinforcement learning subdivides structured action spaces by learning effector-specific values.

    Science.gov (United States)

    Gershman, Samuel J; Pesaran, Bijan; Daw, Nathaniel D

    2009-10-28

    Humans and animals are endowed with a large number of effectors. Although this enables great behavioral flexibility, it presents an equally formidable reinforcement learning problem of discovering which actions are most valuable because of the high dimensionality of the action space. An unresolved question is how neural systems for reinforcement learning-such as prediction error signals for action valuation associated with dopamine and the striatum-can cope with this "curse of dimensionality." We propose a reinforcement learning framework that allows for learned action valuations to be decomposed into effector-specific components when appropriate to a task, and test it by studying to what extent human behavior and blood oxygen level-dependent (BOLD) activity can exploit such a decomposition in a multieffector choice task. Subjects made simultaneous decisions with their left and right hands and received separate reward feedback for each hand movement. We found that choice behavior was better described by a learning model that decomposed the values of bimanual movements into separate values for each effector, rather than a traditional model that treated the bimanual actions as unitary with a single value. A decomposition of value into effector-specific components was also observed in value-related BOLD signaling, in the form of lateralized biases in striatal correlates of prediction error and anticipatory value correlates in the intraparietal sulcus. These results suggest that the human brain can use decomposed value representations to "divide and conquer" reinforcement learning over high-dimensional action spaces.

  20. The effects of integrating service learning into computer science: an inter-institutional longitudinal study

    Science.gov (United States)

    Payton, Jamie; Barnes, Tiffany; Buch, Kim; Rorrer, Audrey; Zuo, Huifang

    2015-07-01

    This study is a follow-up to one published in computer science education in 2010 that reported preliminary results showing a positive impact of service learning on student attitudes associated with success and retention in computer science. That paper described how service learning was incorporated into a computer science course in the context of the Students & Technology in Academia, Research, and Service (STARS) Alliance, an NSF-supported broadening participation in computing initiative that aims to diversify the computer science pipeline through innovative pedagogy and inter-institutional partnerships. The current paper describes how the STARS Alliance has expanded to diverse institutions, all using service learning as a vehicle for broadening participation in computing and enhancing attitudes and behaviors associated with student success. Results supported the STARS model of service learning for enhancing computing efficacy and computing commitment and for providing diverse students with many personal and professional development benefits.

  1. The Cstf2t Polyadenylation Gene Plays a Sex-Specific Role in Learning Behaviors in Mice.

    Directory of Open Access Journals (Sweden)

    Jaryse C Harris

    Full Text Available Polyadenylation is an essential mechanism for the processing of mRNA 3' ends. CstF-64 (the 64,000 Mr subunit of the cleavage stimulation factor; gene symbol Cstf2 is an RNA-binding protein that regulates mRNA polyadenylation site usage. We discovered a paralogous form of CstF-64 called τCstF-64 (Cstf2t. The Cstf2t gene is conserved in all eutherian mammals including mice and humans, but the τCstF-64 protein is expressed only in a subset of mammalian tissues, mostly testis and brain. Male mice that lack Cstf2t (Cstf2t-/- mice experience disruption of spermatogenesis and are infertile, although female fertility is unaffected. However, a role for τCstF-64 in the brain has not yet been determined. Given the importance of RNA polyadenylation and splicing in neuronal gene expression, we chose to test the hypothesis that τCstF-64 is important for brain function. Male and female 185-day old wild type and Cstf2t-/- mice were examined for motor function, general activity, learning, and memory using rotarod, open field activity, 8-arm radial arm maze, and Morris water maze tasks. Male wild type and Cstf2t-/- mice did not show differences in learning and memory. However, female Cstf2t-/- mice showed significantly better retention of learned maze tasks than did female wild type mice. These results suggest that τCstf-64 is important in memory function in female mice. Interestingly, male Cstf2t-/- mice displayed less thigmotactic behavior than did wild type mice, suggesting that Cstf2t may play a role in anxiety in males. Taken together, our studies highlight the importance of mRNA processing in cognition and behavior as well as their established functions in reproduction.

  2. Assessing Learners' Perceived Readiness for Computer-Supported Collaborative Learning (CSCL): A Study on Initial Development and Validation

    Science.gov (United States)

    Xiong, Yao; So, Hyo-Jeong; Toh, Yancy

    2015-01-01

    The main purpose of this study was to develop an instrument that assesses university students' perceived readiness for computer-supported collaborative learning (CSCL). Assessment in CSCL research had predominantly focused on measuring "after-collaboration" outcomes and "during-collaboration" behaviors while…

  3. "We Had a Blast!": An Empirical Affirmation of Blended Learning as the Preferred Learning Mode for Adult Learners

    Science.gov (United States)

    Asunka, Stephen

    2017-01-01

    As many important issues pertaining to blended learning within the Sub-Saharan African context remain unexplored, this study implemented a blended learning approach in a graduate level course at a private university in Ghana, with the objective of exploring adult learners' attitudes, experiences and behaviors towards this learning approach, as…

  4. Teaching with Dogs: Learning about Learning through Hands-on Experience in Dog Training

    Science.gov (United States)

    McConnell, Bridget L.

    2016-01-01

    This paper summarizes a pilot study of an experiential learning technique that was designed to give undergraduate students a greater understanding of the principles and theories of learning and behavior, which is traditionally taught only in a lecture-based format. Students were assigned the role of a dog trainer, and they were responsible for…

  5. Uncertainty in action-value estimation affects both action choice and learning rate of the choice behaviors of rats.

    Science.gov (United States)

    Funamizu, Akihiro; Ito, Makoto; Doya, Kenji; Kanzaki, Ryohei; Takahashi, Hirokazu

    2012-04-01

    The estimation of reward outcomes for action candidates is essential for decision making. In this study, we examined whether and how the uncertainty in reward outcome estimation affects the action choice and learning rate. We designed a choice task in which rats selected either the left-poking or right-poking hole and received a reward of a food pellet stochastically. The reward probabilities of the left and right holes were chosen from six settings (high, 100% vs. 66%; mid, 66% vs. 33%; low, 33% vs. 0% for the left vs. right holes, and the opposites) in every 20-549 trials. We used Bayesian Q-learning models to estimate the time course of the probability distribution of action values and tested if they better explain the behaviors of rats than standard Q-learning models that estimate only the mean of action values. Model comparison by cross-validation revealed that a Bayesian Q-learning model with an asymmetric update for reward and non-reward outcomes fit the choice time course of the rats best. In the action-choice equation of the Bayesian Q-learning model, the estimated coefficient for the variance of action value was positive, meaning that rats were uncertainty seeking. Further analysis of the Bayesian Q-learning model suggested that the uncertainty facilitated the effective learning rate. These results suggest that the rats consider uncertainty in action-value estimation and that they have an uncertainty-seeking action policy and uncertainty-dependent modulation of the effective learning rate. © 2012 The Authors. European Journal of Neuroscience © 2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.

  6. Goal-directed, habitual and Pavlovian prosocial behavior

    Directory of Open Access Journals (Sweden)

    Filip eGęsiarz

    2015-05-01

    Full Text Available Although prosocial behaviors have been widely studied across disciplines, the mechanisms underlying them are not fully understood. Evidence from psychology, biology and economics suggests that prosocial behaviors can be driven by a variety of seemingly opposing factors: altruism or egoism, intuition or deliberation, inborn instincts or learned dispositions, and utility derived from actions or their outcomes. Here we propose a framework inspired by research on reinforcement learning and decision making that links these processes and explains characteristics of prosocial behaviors in different contexts. More specifically, we suggest that prosocial behaviors inherit features of up to three decision-making systems employed to choose between self- and other- regarding acts: a goal-directed system that selects actions based on their predicted consequences, a habitual system that selects actions based on their reinforcement history, and a Pavlovian system that emits reflexive responses based on evolutionarily prescribed priors. This framework, initially described in the field of cognitive neuroscience and machine learning, provides insight into the potential neural circuits and computations shaping prosocial behaviors. Furthermore, it identifies specific conditions in which each of these three systems should dominate and promote other- or self- regarding behavior.

  7. Leaf swallowing behavior in chimpanzees (Pan troglodytes): biased learning and the emergence of group level cultural differences.

    Science.gov (United States)

    Huffman, Michael A; Spiezio, Caterina; Sgaravatti, Andrea; Leca, Jean-Baptiste

    2010-11-01

    Demonstrating the ability to 'copy' the behavior of others is an important aspect in determining whether social learning occurs and whether group level differences in a given behavior represent cultural differences or not. Understanding the occurrence of this process in its natural context is essential, but can be a daunting task in the wild. In order to test the social learning hypothesis for the acquisition of leaf swallowing (LS), a self-medicative behavior associated with the expulsion of parasites, we conducted semi-naturalistic experiments on two captive groups of parasite-free, naïve chimpanzees (Pan troglodytes). Individuals in the group were systematically provided appropriate stimuli (rough hispid leaves) identical to those used by chimpanzees in the wild. Individuals initially responded in a variety of ways, ranging from total aversion to normal chewing and swallowing. Over time, however, the two groups adopted different variants for inserting and folding the leaves in the mouth prior to swallowing them (complete and partial LS), following the specific method spontaneously displayed by the first and primary LS models in their respective groups. These variants were similar to LS displayed by chimpanzees in the wild. Using the option-bias method, we found evidence for social learning leading to group-level biased transmission and group-level stabilization of these two variants. This is the first report on two distinct cultural variants innovated in response to the introduction of natural stimuli that emerged and spread spontaneously and concurrently within two adjacent groups of socially housed primates. These observations support the assertion that LS may reflect a generalized propensity for ingesting rough hispid leaves, which can be socially induced and transmitted within a group. Ingesting an adequate number of these leaves induces increased gut motility, which is responsible for the subsequent expulsion of particular parasite species in the wild

  8. A Competence-Based Science Learning Framework Illustrated through the Study of Natural Hazards and Disaster Risk Reduction

    Science.gov (United States)

    Oyao, Sheila G.; Holbrook, Jack; Rannikmäe, Miia; Pagunsan, Marmon M.

    2015-01-01

    This article proposes a competence-based learning framework for science teaching, applied to the study of "big ideas", in this case to the study of natural hazards and disaster risk reduction (NH&DRR). The framework focuses on new visions of competence, placing emphasis on nurturing connectedness and behavioral actions toward…

  9. Invisible Motivation of Online Adult Learners During Contract Learning

    Directory of Open Access Journals (Sweden)

    Seung Youn (Yonnie Chyung, Ed.D.

    2007-07-01

    Full Text Available In a face-to-face classroom, the instructor can easily diagnose students’ motivational status by observing their facial expressions and postures, but such cues are absent in an online classroom. Therefore, online instructors often estimate students’ motivational level based on their online behavior such as the number of messages they post, and look for effective strategies to help them actively participate in online dialogues. One such strategy is contract learning which facilitates self-directed behaviors through structuring an agreed learning process. This study reports a contract learning strategy in a graduate-level online class, examining whether a sample of 28 students’ motivation could indeed be predicted by their online behavior. Results from the study found that the students’ online behavior was not a predictor for their motivational status, though there were age and gender differences in their online behavior. The students felt more self-directed and motivated during contract learning, but what they really liked was being able to select assignments that were relevant to their interests and needs. This paper concludes by discussing practical implications of the findings at the end.

  10. Sharing Histories-a transformative learning/teaching method to empower community health workers to support health behavior change of mothers.

    Science.gov (United States)

    Altobelli, Laura C

    2017-08-23

    One of the keys to improving health globally is promoting mothers' adoption of healthy home practices for improved nutrition and illness prevention in the first 1000 days of life from conception. Customarily, mothers are taught health messages which, even if simplified, are hard to remember. The challenge is how to promote learning and behavior change of mothers more effectively in low-resource settings where access to health information is poor, educational levels are low, and traditional beliefs are strong. In addressing that challenge, a new learning/teaching method called "Sharing Histories" is in development to improve the performance of female community health workers (CHWs) in promoting mothers' behaviors for maternal, neonatal and child health (MNCH). This method builds self-confidence and empowerment of CHWs in learning sessions that are built on guided sharing of their own memories of childbearing and child care. CHWs can later share histories with the mother, building her trust and empowerment to change. For professional primary health care staff who are not educators, Sharing Histories is simple to learn and use so that the method can be easily incorporated into government health systems and ongoing CHW programs. I present here the Sharing Histories method, describe how it differs from other social and behavior change methods, and discuss selected literature from psychology, communications, and neuroscience that helps to explain how and why this method works as a transformative tool to engage, teach, transform, and empower CHWs to be more effective change agents with other mothers in their communities, thereby contributing to the attainment of the Sustainable Development Goals.

  11. A Preliminary Study on the Effects of Training Using Behavior Support Plan Quality Evaluation Guide (BSP-QE) to Improve Positive Behavioral Support Plans

    Science.gov (United States)

    Wright, Diana Browning; Mayer, G. Roy; Cook, Clayton R.; Crews, S. Dean; Kraemer, Bonnie Rawlings; Gale, Bruce

    2007-01-01

    The purpose of this research was to evaluate the effects of two trainings designed to increase the competencies of professionals to develop high quality positive behavior support plans for students that engage in problem behaviors that interfere with theirs and/or others' ability to learn. Training one consisted of training attendees on six key…

  12. Learning Markov models for stationary system behaviors

    DEFF Research Database (Denmark)

    Chen, Yingke; Mao, Hua; Jaeger, Manfred

    2012-01-01

    to a single long observation sequence, and in these situations existing automatic learning methods cannot be applied. In this paper, we adapt algorithms for learning variable order Markov chains from a single observation sequence of a target system, so that stationary system properties can be verified using......Establishing an accurate model for formal verification of an existing hardware or software system is often a manual process that is both time consuming and resource demanding. In order to ease the model construction phase, methods have recently been proposed for automatically learning accurate...... the learned model. Experiments demonstrate that system properties (formulated as stationary probabilities of LTL formulas) can be reliably identified using the learned model....

  13. A Proposed Framework to Understand the Intrinsic Motivation Factors on University Students’ Behavioral Intention to Use a Mobile Application for Learning

    Directory of Open Access Journals (Sweden)

    Ronnie H. Shroff

    2017-04-01

    Full Text Available Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students’ behavioral intention to use (BIU a mobile application for learning. Background:\tAlthough the Technology Acceptance Model is a significant model, it largely remains incomplete as it does not take into consideration the motivation factors and/or outside influences in the adoption of new technology. Methodology: A Mobile Application Motivation Instrument (MAMI was developed from a comprehensive review of literature on intrinsic motivation and verified using a formalized card sorting procedure. Four intrinsic motivation scales were developed: perceived competence (COM, perceived challenge (CHA, perceived choice (CHO, and perceived interest (INT. Consequently, a scale to assess students’ behavioral intention (BIU to use mobile applications was developed using existing scales from prior TAM instruments. Contribution: Incorporating the motivational factors into TAM may provide better explanation and prediction of student acceptance and usage of mobile applications. A potential contribution of this study is the development of a reliable and valid instrument that could be further used by a growing community of researchers, instructional designers, and instructors. Findings: Data were collected from 193 participants to test the causal relationship of perceived competence (COM, perceived challenge (CHA, perceived choice (CHO, and perceived interest (INT on students’ behavioral intention to use (BIU a mobile application, using a structural equation modeling approach. The structural path model indicated that perceived competence (COM, perceived challenge (CHA, perceived choice (CHO, and perceived interest (INT had a significant influence on students’ behavioral intention to use (BIU a mobile application for learning. Implications of this study

  14. Behavioral Cusps: A Person-Centered Concept for Establishing Pivotal Individual, Family, and Community Behaviors and Repertoires

    Science.gov (United States)

    Smith, Garnett J.; McDougall, Dennis; Edelen-Smith, Patricia

    2006-01-01

    Cumulative-hierarchical learning (CHL) and behavior, a premise first introduced by Staats in 1975, describes how higher-level behavioral patterns and structures can emerge from interactions among a set of lower-level actions. Proponents of CHL emphasize the importance of pivotal response interventions, behavior repertoires, generative learning,…

  15. Dopaminergic control of motivation and reinforcement learning: a closed-circuit account for reward-oriented behavior.

    Science.gov (United States)

    Morita, Kenji; Morishima, Mieko; Sakai, Katsuyuki; Kawaguchi, Yasuo

    2013-05-15

    Humans and animals take actions quickly when they expect that the actions lead to reward, reflecting their motivation. Injection of dopamine receptor antagonists into the striatum has been shown to slow such reward-seeking behavior, suggesting that dopamine is involved in the control of motivational processes. Meanwhile, neurophysiological studies have revealed that phasic response of dopamine neurons appears to represent reward prediction error, indicating that dopamine plays central roles in reinforcement learning. However, previous attempts to elucidate the mechanisms of these dopaminergic controls have not fully explained how the motivational and learning aspects are related and whether they can be understood by the way the activity of dopamine neurons itself is controlled by their upstream circuitries. To address this issue, we constructed a closed-circuit model of the corticobasal ganglia system based on recent findings regarding intracortical and corticostriatal circuit architectures. Simulations show that the model could reproduce the observed distinct motivational effects of D1- and D2-type dopamine receptor antagonists. Simultaneously, our model successfully explains the dopaminergic representation of reward prediction error as observed in behaving animals during learning tasks and could also explain distinct choice biases induced by optogenetic stimulation of the D1 and D2 receptor-expressing striatal neurons. These results indicate that the suggested roles of dopamine in motivational control and reinforcement learning can be understood in a unified manner through a notion that the indirect pathway of the basal ganglia represents the value of states/actions at a previous time point, an empirically driven key assumption of our model.

  16. Neural correlates of a reversal learning task with an affectively neutral baseline: an event-related fMRI study

    NARCIS (Netherlands)

    Remijnse, Peter L.; Nielen, Marjan M. A.; Uylings, Harry B. M.; Veltman, Dick J.

    2005-01-01

    Reversal learning may conceptually be dissected into acquiring stimulus-reinforcement associations and subsequently altering behavior by switching to new associations as stimulus-reinforcement contingencies reverse (i.e., affective switching). Previous imaging studies have found regions of the

  17. Let's Burn Them All: Reflections on the Learning-Inhibitory Nature of Introduction to Management and Introduction to Organizational Behavior Textbooks

    Science.gov (United States)

    Snyder, Robert A.

    2014-01-01

    This essay provides evidence from the neurosciences that standard Introduction to Management and "Introduction to Organizational Behavior" textbooks may inhibit, rather than facilitate, learning of the basic concepts and the rudimentary knowledge-basis that underlie the complex skills business students should learn in subsequent…

  18. Distinguishing between learning and motivation in behavioral tests of the reinforcement sensitivity theory of personality.

    Science.gov (United States)

    Smillie, Luke D; Dalgleish, Len I; Jackson, Chris J

    2007-04-01

    According to Gray's (1973) Reinforcement Sensitivity Theory (RST), a Behavioral Inhibition System (BIS) and a Behavioral Activation System (BAS) mediate effects of goal conflict and reward on behavior. BIS functioning has been linked with individual differences in trait anxiety and BAS functioning with individual differences in trait impulsivity. In this article, it is argued that behavioral outputs of the BIS and BAS can be distinguished in terms of learning and motivation processes and that these can be operationalized using the Signal Detection Theory measures of response-sensitivity and response-bias. In Experiment 1, two measures of BIS-reactivity predicted increased response-sensitivity under goal conflict, whereas one measure of BAS-reactivity predicted increased response-sensitivity under reward. In Experiment 2, two measures of BIS-reactivity predicted response-bias under goal conflict, whereas a measure of BAS-reactivity predicted motivation response-bias under reward. In both experiments, impulsivity measures did not predict criteria for BAS-reactivity as traditionally predicted by RST.

  19. ANALISIS PENERIMAAN E-LEARNING MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM (STUDI KASUS: UNIVERSITAS ATMA JAYA YOGYAKARTA

    Directory of Open Access Journals (Sweden)

    Flourensia Sapty Rahayu

    2017-11-01

    Full Text Available Dalam implementasi sebuah sistem informasi di suatu institusi, perlu dipertimbangkan  bagaimana penerimaan pengguna terhadap sistem informasi tersebut. Penerapan sistem informasi dapat dikatakan gagal jika pengguna ternyata tidak dapat menerima atau tidak mau menggunakan sistem informasi tersebut. Sebagai sebuah institusi pendidikan, Universitas Atma Jaya Yogyakarta (UAJY juga mengimplementasikan sistem e-learning untuk mendukung proses belajar mengajar. Pengguna wajib dari e-learning ini adalah dosen dan mahasiwa. Sejak diterapkan belum pernah diadakan evaluasi mengenai penerimaan pengguna terhdap sistem e-learning ini. Penelitian ini dilakukan untuk melakukan pengujian terhadap penerimaan pengguna (mahasiswa terhadap e-learning dengan menggunakan Technology Acceptance Model (TAM. Pengujian dilakukan dengan mengukur pengaruh antar variabel dalam model TAM yang meliputi variabel Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavioral Intention dan Actual Usage. Metode pengujian statistik yang dilakukan yaitu uji statistik validitas, reliabilitas, normalitas, dan menguji pengaruh faktor menggunakan Structural Equation Model (SEM. Sumber data didapatkan dengan metode kuesioner yang dibagikan kepada responden mahasiswa UAJY dari seluruh fakultas. Dari enam hipotesis yang diajukan satu hipotesis dinyatakan tidak diterima, yaitu hipotesis yang menyatakan Perceived Usefulnes berpengaruh terhadap Behavioral Intention. Kelima hipotesis yang lain yaitu Perceived Ease of Use berpengaruh terhadap Perceived Usefulnes, Perceived Usefulnes berpengaruh terhadap Attitude Toward Using, Perceived Ease of Use berpengaruh terhadap Attitude Toward Using, Attitude Toward Using berpengaruh terhadap Behavioral Intention, Behavioral Intention berpengaruh terhadap Actual Usage dinyatakan dapat diterima.

  20. Behavior Plan, Does It Work?

    Science.gov (United States)

    Gonzalez, Blanca M.; Brown, D.

    2015-01-01

    As educators, we are responsible for teaching academic skills. However, some students not only need to learn academic skills but they need behavior support, due to problematic behaviors that are happening in the school setting. In this article, we will learn more of what are the implications, requirements and best strategies for a behavior plan.…