WorldWideScience

Sample records for learning patterned relationships

  1. Patterns relationships of student’s creativity with its indicators in learning optical instrument

    Science.gov (United States)

    Sukarmin; Dhian, T. E. V.; Nonoh, S. A.; Delisma, W. A.

    2017-01-01

    This study aims to identify patterns relationships of student’s creativity with its indicators in Learning Optical Instrument. The study was conducted at SMPN 2 Sawo. SMPN 1 Jetis, SMPIT Darut Taqwa, SMPN 1 Dander, Bojonegoro and SMPN 3 Plus Al-Fatima. Data analysis used descriptive analysis using the Confirmatory Factor Analysis. Creativity test instruments used have been tested parameters. Creativity indicators used are personal (self-confidence, perseverance), press (spirit, unyielding), process (preparation, incubation illumination, verification) and the product (knowledge, skills). Research Result shows that perseverance and incubation are the highest capabilities and verification capabilities of the lowest. All indicators on student creativity can still be improved. The relationship between creativity with the indicators grouped into a strong, moderate, weak and no relation. Indicators that have a strong relationship (r ≥ 0.50), namely are personal (self-confidence, perseverance), process (illumination). Indicators that have a connection was (0.3 ≤ r ≤ 0.49) are press (spirit), process (verification). Indicators which have a very low correlation (r ≤ 0.1 ≤ 0.29) are press (unyielding), process (preparation), process (incubation), product (skills) as shown in Figure 1. Indicators that do not have a relationship between the creativity of the students with the indicator that is, product (knowledge).

  2. Relationships among student attitudes, motivation, learning styles, learning strategies, patterns of learning, and achievement: A formative evaluation of distance education via Web-based courses

    Science.gov (United States)

    Shih, Ching-Chun

    The World Wide Web (WWW) is the latest in a long line of educational technologies, and the list of courses on it is growing daily. Formative evaluations would help educators enhance teaching and learning in Web-based courses. This study analyzed the relationships between student achievement and the following variables: attitudes, motivation, learning strategies, patterns of learning, learning styles, and selected demographics. It was a population study that included 99 students taking two non-major introductory biology courses offered over the WWW by Iowa State University in the fall of 1997. Seventy-four (75%) students completed a learning style test, an on-line questionnaire, and received a grade by the end of the semester. The learning style test was the Group Embedded Figures Test (GEFT), which classified students as either field-dependent or field-independent. The on-line questionnaire consisted of four scales (attitude, motivation, learning strategies, and patterns of learning), whose pilot-test reliabilities ranged from .71 to .91. The selected demographic variables were gender, class level, previous experience in subject area, hours per week studying and working, computer access, and types of students as off-campus, on-campus, or adult students. Over two-thirds of the students taking the Web-based courses were field-independent learners; however, there were no significant differences (.05 level) in achievement by learning style. Also, different backgrounds of students with different learning styles learned equally well in Web-based courses. The students enjoyed the convenience and self-controlled learning pace and were motivated by competition and high expectations in Web-based learning. They used most the learning strategies of finding important ideas from lectures and memorizing key words of important concepts and least the learning strategy of making charts or tables to organize the material. They seemed more interested in checking their grades than in

  3. Pattern recognition & machine learning

    CERN Document Server

    Anzai, Y

    1992-01-01

    This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

  4. Learning Python design patterns

    CERN Document Server

    Zlobin, Gennadiy

    2013-01-01

    This book takes a tutorial-based and user-friendly approach to covering Python design patterns. Its concise presentation means that in a short space of time, you will get a good introduction to various design patterns.If you are an intermediate level Python user, this book is for you. Prior knowledge of Python programming is essential. Some knowledge of UML is also required to understand the UML diagrams which are used to describe some design patterns.

  5. Competitive STDP Learning of Overlapping Spatial Patterns.

    Science.gov (United States)

    Krunglevicius, Dalius

    2015-08-01

    Spike-timing-dependent plasticity (STDP) is a set of Hebbian learning rules firmly based on biological evidence. It has been demonstrated that one of the STDP learning rules is suited for learning spatiotemporal patterns. When multiple neurons are organized in a simple competitive spiking neural network, this network is capable of learning multiple distinct patterns. If patterns overlap significantly (i.e., patterns are mutually inclusive), however, competition would not preclude trained neuron's responding to a new pattern and adjusting synaptic weights accordingly. This letter presents a simple neural network that combines vertical inhibition and Euclidean distance-dependent synaptic strength factor. This approach helps to solve the problem of pattern size-dependent parameter optimality and significantly reduces the probability of a neuron's forgetting an already learned pattern. For demonstration purposes, the network was trained for the first ten letters of the Braille alphabet.

  6. Relationship between Learning Outcomes and Online Accesses

    Science.gov (United States)

    Suanpang, Pannee; Petocz, Peter; Reid, Anna

    2004-01-01

    This paper reports on a study carried out in Thailand investigating the relationship between students' use of an e-learning system and their learning outcomes in a course on Business Statistics. The results show a clear relationship between accesses to the e-learning system, as measured by number of "hits", and outcomes, as measured by…

  7. Learning Programming Patterns Using Games

    Science.gov (United States)

    de Aquino Leal, Alexis Vinícius; Ferreira, Deller James

    2016-01-01

    There is still no pedagogy to teach programming that stands out significantly from others and no consensus on what is the best way for learning programming. There is still a need to develop new teaching methods for learning in introductory programming courses. This paper presents a pedagogic approach in support of creativity in programming and the…

  8. The art and learning patterns of knowing in nursing

    Directory of Open Access Journals (Sweden)

    Cristina Lavareda Baixinho

    2014-12-01

    Full Text Available Objective To identify the perception of the students about the use of art as a pedagogical strategy in learning the patterns of knowing in nursing; to identify the dimensions of each pattern valued in the analysis of pieces of art. Method Descriptive mixed study. Data collection used a questionnaire applied to 31 nursing students. Results In the analysis of the students’ discourse, it was explicit that empirical knowledge includes scientific knowledge, tradition and nature of care. The aesthetic knowledge implies expressiveness, subjectivity and sensitivity. Self-knowledge, experience, reflective attitude and relationships with others are the subcategories of personal knowledge and the moral and ethics support ethical knowledge. Conclusion It is possible to learn patterns of knowledge through art, especially the aesthetic, ethical and personal. It is necessary to investigate further pedagogical strategies that contribute to the learning patterns of nursing knowledge.

  9. Transductive Pattern Learning for Information Extraction

    National Research Council Canada - National Science Library

    McLernon, Brian; Kushmerick, Nicholas

    2006-01-01

    .... We present TPLEX, a semi-supervised learning algorithm for information extraction that can acquire extraction patterns from a small amount of labelled text in conjunction with a large amount of unlabelled text...

  10. A system for learning statistical motion patterns.

    Science.gov (United States)

    Hu, Weiming; Xiao, Xuejuan; Fu, Zhouyu; Xie, Dan; Tan, Tieniu; Maybank, Steve

    2006-09-01

    Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, where objects move in predefined ways. It is highly desirable to automatically construct object motion patterns which reflect the knowledge of the scene. In this paper, we present a system for automatically learning motion patterns for anomaly detection and behavior prediction based on a proposed algorithm for robustly tracking multiple objects. In the tracking algorithm, foreground pixels are clustered using a fast accurate fuzzy K-means algorithm. Growing and prediction of the cluster centroids of foreground pixels ensure that each cluster centroid is associated with a moving object in the scene. In the algorithm for learning motion patterns, trajectories are clustered hierarchically using spatial and temporal information and then each motion pattern is represented with a chain of Gaussian distributions. Based on the learned statistical motion patterns, statistical methods are used to detect anomalies and predict behaviors. Our system is tested using image sequences acquired, respectively, from a crowded real traffic scene and a model traffic scene. Experimental results show the robustness of the tracking algorithm, the efficiency of the algorithm for learning motion patterns, and the encouraging performance of algorithms for anomaly detection and behavior prediction.

  11. Professional development as learning in relationships

    OpenAIRE

    Noworolnik-Mastalska, Monika

    2013-01-01

    The article presents a clasification of selected leading conceptions within professional development, using socio-cultural perspective of learning in different relationships. Beside drawing on the classical social theory of learning through interactions with others, another dimensions of learning are added: related to the self, personal dimension of learning through professional identity development and societal dimension, where learning results from the ability to respond comprehensively to ...

  12. Deep Learning For Sequential Pattern Recognition

    OpenAIRE

    Safari, Pooyan

    2013-01-01

    Projecte realitzat en el marc d’un programa de mobilitat amb la Technische Universität München (TUM) In recent years, deep learning has opened a new research line in pattern recognition tasks. It has been hypothesized that this kind of learning would capture more abstract patterns concealed in data. It is motivated by the new findings both in biological aspects of the brain and hardware developments which have made the parallel processing possible. Deep learning methods come along with ...

  13. Learning from correlated patterns by simple perceptrons

    Energy Technology Data Exchange (ETDEWEB)

    Shinzato, Takashi; Kabashima, Yoshiyuki [Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama 226-8502 (Japan)], E-mail: shinzato@sp.dis.titech.ac.jp, E-mail: kaba@dis.titech.ac.jp

    2009-01-09

    Learning behavior of simple perceptrons is analyzed for a teacher-student scenario in which output labels are provided by a teacher network for a set of possibly correlated input patterns, and such that the teacher and student networks are of the same type. Our main concern is the effect of statistical correlations among the input patterns on learning performance. For this purpose, we extend to the teacher-student scenario a methodology for analyzing randomly labeled patterns recently developed in Shinzato and Kabashima 2008 J. Phys. A: Math. Theor. 41 324013. This methodology is used for analyzing situations in which orthogonality of the input patterns is enhanced in order to optimize the learning performance.

  14. Learning from correlated patterns by simple perceptrons

    Science.gov (United States)

    Shinzato, Takashi; Kabashima, Yoshiyuki

    2009-01-01

    Learning behavior of simple perceptrons is analyzed for a teacher-student scenario in which output labels are provided by a teacher network for a set of possibly correlated input patterns, and such that the teacher and student networks are of the same type. Our main concern is the effect of statistical correlations among the input patterns on learning performance. For this purpose, we extend to the teacher-student scenario a methodology for analyzing randomly labeled patterns recently developed in Shinzato and Kabashima 2008 J. Phys. A: Math. Theor. 41 324013. This methodology is used for analyzing situations in which orthogonality of the input patterns is enhanced in order to optimize the learning performance.

  15. Learning from correlated patterns by simple perceptrons

    International Nuclear Information System (INIS)

    Shinzato, Takashi; Kabashima, Yoshiyuki

    2009-01-01

    Learning behavior of simple perceptrons is analyzed for a teacher-student scenario in which output labels are provided by a teacher network for a set of possibly correlated input patterns, and such that the teacher and student networks are of the same type. Our main concern is the effect of statistical correlations among the input patterns on learning performance. For this purpose, we extend to the teacher-student scenario a methodology for analyzing randomly labeled patterns recently developed in Shinzato and Kabashima 2008 J. Phys. A: Math. Theor. 41 324013. This methodology is used for analyzing situations in which orthogonality of the input patterns is enhanced in order to optimize the learning performance

  16. Learning-induced pattern classification in a chaotic neural network

    International Nuclear Information System (INIS)

    Li, Yang; Zhu, Ping; Xie, Xiaoping; He, Guoguang; Aihara, Kazuyuki

    2012-01-01

    In this Letter, we propose a Hebbian learning rule with passive forgetting (HLRPF) for use in a chaotic neural network (CNN). We then define the indices based on the Euclidean distance to investigate the evolution of the weights in a simplified way. Numerical simulations demonstrate that, under suitable external stimulations, the CNN with the proposed HLRPF acts as a fuzzy-like pattern classifier that performs much better than an ordinary CNN. The results imply relationship between learning and recognition. -- Highlights: ► Proposing a Hebbian learning rule with passive forgetting (HLRPF). ► Defining indices to investigate the evolution of the weights simply. ► The chaotic neural network with HLRPF acts as a fuzzy-like pattern classifier. ► The pattern classifier ability of the network is improved much.

  17. Differential theory of learning for efficient neural network pattern recognition

    Science.gov (United States)

    Hampshire, John B., II; Vijaya Kumar, Bhagavatula

    1993-09-01

    We describe a new theory of differential learning by which a broad family of pattern classifiers (including many well-known neural network paradigms) can learn stochastic concepts efficiently. We describe the relationship between a classifier's ability to generate well to unseen test examples and the efficiency of the strategy by which it learns. We list a series of proofs that differential learning is efficient in its information and computational resource requirements, whereas traditional probabilistic learning strategies are not. The proofs are illustrated by a simple example that lends itself to closed-form analysis. We conclude with an optical character recognition task for which three different types of differentially generated classifiers generalize significantly better than their probabilistically generated counterparts.

  18. Learning, Transparency and Relationship Building: Ethiopian ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Learning, Transparency and Relationship Building: Ethiopian Women Parliamentarians and Young Female University Students. IDRC's Democratic Governance, Women's Rights and Gender Equality initiative is supporting a body of comparative research on whether and how democratic processes and institutions are ...

  19. Motivation and Its Relationship with Learning Strategy

    Science.gov (United States)

    Liu, Yunzhen

    2012-01-01

    This study investigates motivation that influences heritage and non-heritage students' learning of Chinese, and its relationship with Chinese language learning strategies (LLS). The study uses Deci and Ryan's typology--"Intrinsic Motivation" and "Extrinsic Motivation", for the investigation, examining issues such as: (1) What…

  20. Supervised Learning for Visual Pattern Classification

    Science.gov (United States)

    Zheng, Nanning; Xue, Jianru

    This chapter presents an overview of the topics and major ideas of supervised learning for visual pattern classification. Two prevalent algorithms, i.e., the support vector machine (SVM) and the boosting algorithm, are briefly introduced. SVMs and boosting algorithms are two hot topics of recent research in supervised learning. SVMs improve the generalization of the learning machine by implementing the rule of structural risk minimization (SRM). It exhibits good generalization even when little training data are available for machine training. The boosting algorithm can boost a weak classifier to a strong classifier by means of the so-called classifier combination. This algorithm provides a general way for producing a classifier with high generalization capability from a great number of weak classifiers.

  1. Creating a memory of causal relationships an integration of empirical and explanation-based learning methods

    CERN Document Server

    Pazzani, Michael J

    2014-01-01

    This book presents a theory of learning new causal relationships by making use of perceived regularities in the environment, general knowledge of causality, and existing causal knowledge. Integrating ideas from the psychology of causation and machine learning, the author introduces a new learning procedure called theory-driven learning that uses abstract knowledge of causality to guide the induction process. Known as OCCAM, the system uses theory-driven learning when new experiences conform to common patterns of causal relationships, empirical learning to learn from novel experiences, and expl

  2. Particle Swarm Optimization with Double Learning Patterns.

    Science.gov (United States)

    Shen, Yuanxia; Wei, Linna; Zeng, Chuanhua; Chen, Jian

    2016-01-01

    Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PSO usually suffers from the premature convergence due to the quick losing of the swarm diversity. In this paper, we first analyze the motion behavior of the swarm based on the probability characteristic of learning parameters. Then a PSO with double learning patterns (PSO-DLP) is developed, which employs the master swarm and the slave swarm with different learning patterns to achieve a trade-off between the convergence speed and the swarm diversity. The particles in the master swarm and the slave swarm are encouraged to explore search for keeping the swarm diversity and to learn from the global best particle for refining a promising solution, respectively. When the evolutionary states of two swarms interact, an interaction mechanism is enabled. This mechanism can help the slave swarm in jumping out of the local optima and improve the convergence precision of the master swarm. The proposed PSO-DLP is evaluated on 20 benchmark functions, including rotated multimodal and complex shifted problems. The simulation results and statistical analysis show that PSO-DLP obtains a promising performance and outperforms eight PSO variants.

  3. Particle Swarm Optimization with Double Learning Patterns

    Science.gov (United States)

    Shen, Yuanxia; Wei, Linna; Zeng, Chuanhua; Chen, Jian

    2016-01-01

    Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PSO usually suffers from the premature convergence due to the quick losing of the swarm diversity. In this paper, we first analyze the motion behavior of the swarm based on the probability characteristic of learning parameters. Then a PSO with double learning patterns (PSO-DLP) is developed, which employs the master swarm and the slave swarm with different learning patterns to achieve a trade-off between the convergence speed and the swarm diversity. The particles in the master swarm and the slave swarm are encouraged to explore search for keeping the swarm diversity and to learn from the global best particle for refining a promising solution, respectively. When the evolutionary states of two swarms interact, an interaction mechanism is enabled. This mechanism can help the slave swarm in jumping out of the local optima and improve the convergence precision of the master swarm. The proposed PSO-DLP is evaluated on 20 benchmark functions, including rotated multimodal and complex shifted problems. The simulation results and statistical analysis show that PSO-DLP obtains a promising performance and outperforms eight PSO variants. PMID:26858747

  4. 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…

  5. Patterns of Stepchild-Stepparent Relationship Development

    Science.gov (United States)

    Ganong, Lawrence H.; Coleman, Marilyn; Jamison, Tyler

    2011-01-01

    Thirty-two stepdaughters and 17 stepsons participated in this grounded theory study of emerging adult stepchildren's perceptions about how relationships with their stepparents developed. The theory created from this study proposes that the degree to which stepchildren engage in relationship-building and -maintaining behaviors with stepparents is a…

  6. Relationships between hippocampal activity and breathing patterns

    DEFF Research Database (Denmark)

    Harper, R M; Poe, G R; Rector, D M

    1998-01-01

    Single cell discharge, EEG activity, and optical changes accompanying alterations in breathing patterns, as well as the knowledge that respiratory musculature is heavily involved in movement and other behavioral acts, implicate hippocampal regions in some aspects of breathing control. The control...... is unlikely to reside in oscillatory breathing movements, because such patterns emerge in preparations retaining only the medulla (and perhaps only the spinal cord). However, momentary changes in breathing patterns induced by affect, startle, whole-body movement changes, or compensatory ventilatory changes...... of hippocampal contributions to breathing control should be viewed in the context that significant interactions exist between blood pressure changes and ventilation, and that modest breathing challenges, such as exposure to hypercapnia or to increased resistive loads, bring into action a vast array of brain...

  7. Relationship between learning resources and student's academic ...

    African Journals Online (AJOL)

    The study investigated relationship between learning resources and student's academic achievement in science subjects in Taraba State Secondary Schools. A total of 35 science teachers and 18 science head of departments from 6 schools from three geopolitical zones of Taraba State were involved in the study.

  8. How People Learn in an Asynchronous Online Learning Environment: The Relationships between Graduate Students' Learning Strategies and Learning Satisfaction

    Science.gov (United States)

    Choi, Beomkyu

    2016-01-01

    The purpose of this study was to examine the relationships between learners' learning strategies and learning satisfaction in an asynchronous online learning environment. In an attempt to shed some light on how people learn in an online learning environment, one hundred and sixteen graduate students who were taking online learning courses…

  9. Transformative Learning: Patterns of Psychophysiologic Response and Technology-Enabled Learning and Intervention Systems

    Science.gov (United States)

    2008-09-01

    Psychophysiologic Response and Technology -Enabled Learning and Intervention Systems PRINCIPAL INVESTIGATOR: Leigh W. Jerome, Ph.D...NUMBER Transformative Learning : Patterns of Psychophysiologic Response and Technology - Enabled Learning and Intervention Systems 5b. GRANT NUMBER...project entitled “Transformative Learning : Patterns of Psychophysiologic Response in Technology Enabled Learning and Intervention Systems.” The

  10. Exploring the Relationship between Annotation Use of EFL Learners and Their Learning Styles

    OpenAIRE

    Şakar, Asım

    2015-01-01

    This study explores the relationship between (perceptual and cognitive) learning styles and the use of hypermedia annotations by intermediate EFL learners while reading a hypermedia text. The participants were 44 EFL adult learners studying English for academic purposes. Data were collected through a software tracking tool, a learning styles survey and interviews. Results did not indicate a significant relationship, suggesting that learners with different learning styles had similar patterns ...

  11. Optimizing a Workplace Learning Pattern: A Case Study from Aviation

    Science.gov (United States)

    Mavin, Timothy John; Roth, Wolff-Michael

    2015-01-01

    Purpose: This study aims to contribute to current research on team learning patterns. It specifically addresses some negative perceptions of the job performance learning pattern. Design/methodology/approach: Over a period of three years, qualitative and quantitative data were gathered on pilot learning in the workplace. The instructional modes…

  12. Relationship between Organizational Learning and Workplace Bullying in Learning Organizations

    Science.gov (United States)

    Korkmaz, Mehmet; Cemaloglu, Necati

    2010-01-01

    The purpose of this research is to define the relationship between features of a learning organization in formal educational institutions in Turkey, specifically primary schools, and workplace bullying of teachers in these institutions. The scope and sampling group of the research are teachers in primary schools. Two different scales are used in…

  13. Simulating pattern-process relationships to validate landscape genetic models

    Science.gov (United States)

    A. J. Shirk; S. A. Cushman; E. L. Landguth

    2012-01-01

    Landscapes may resist gene flow and thereby give rise to a pattern of genetic isolation within a population. The mechanism by which a landscape resists gene flow can be inferred by evaluating the relationship between landscape models and an observed pattern of genetic isolation. This approach risks false inferences because researchers can never feasibly test all...

  14. Relationship between learning environment characteristics and academic engagement

    NARCIS (Netherlands)

    Opdenakker, Marie-Christine; Minnaert, Alexander

    The relationship between learning environment characteristics and academic engagement of 777 Grade 6 children located in 41 learning environments was explored. Questionnaires were used to tap learning environment perceptions of children, their academic engagement, and their ethnic-cultural

  15. Relationship learning as a dimension of relationship quality : tentative evidence from transnational buyer-supplier relationships

    NARCIS (Netherlands)

    Raškovic, M.; Makovec Brencic, M.; Ferligoj, A.; Fransoo, J.C.

    2013-01-01

    While relationship learning has been addressed in marketing theory, it has not yet been explored as a possible dimension of the second-order construct of relationship quality (RQ). This construct has so far been mostly conceptualized to consist of trust and commitment, sometimes also satisfaction;

  16. Deriving Process-Driven Collaborative Editing Pattern from Collaborative Learning Flow Patterns

    Science.gov (United States)

    Marjanovic, Olivera; Skaf-Molli, Hala; Molli, Pascal; Godart, Claude

    2007-01-01

    Collaborative Learning Flow Patterns (CLFPs) have recently emerged as a new method to formulate best practices in structuring the flow of activities within various collaborative learning scenarios. The term "learning flow" is used to describe coordination and sequencing of learning tasks. This paper adopts the existing concept of CLFP and argues…

  17. Research Issues in Evaluating Learning Pattern Development in Higher Education

    Science.gov (United States)

    Richardson, John T. E.

    2013-01-01

    This article concludes the special issue of "Studies in Educational Evaluation" concerned with "Evaluating learning pattern development in higher education" by discussing research issues that have emerged from the previous contributions. The article considers in turn: stability versus variability in learning patterns; old versus new analytic…

  18. Who's the Boss? Patterns of Control in Adolescents' Sibling Relationships.

    Science.gov (United States)

    Tucker, Corinna Jenkins; Updegraff, Kimberly A; Baril, Megan E

    2010-12-01

    The goals of this study were to examine longitudinal changes in perceived control in adolescents' sibling relationships and to describe the nature and correlates of three distinct control patterns: Firstborn dominant, equal, and secondborn dominant. Firstborn and secondborn adolescents in 184 predominately European-American families participated in home interviews and a series of phone interviews as part of a longitudinal a study of family relationships and adolescent development. Findings revealed changes in control over three years as well as sibling differences. In addition, different patterns of control were linked to qualities of the sibling relationship and to adolescent adjustment. The different roles that firstborn and secondborn siblings assume, and why these roles are linked to relationship experiences and adjustment, are discussed.

  19. Probabilistically-Cued Patterns Trump Perfect Cues in Statistical Language Learning.

    Science.gov (United States)

    Lany, Jill; Gómez, Rebecca L

    2013-01-01

    Probabilistically-cued co-occurrence relationships between word categories are common in natural languages but difficult to acquire. For example, in English, determiner-noun and auxiliary-verb dependencies both involve co-occurrence relationships, but determiner-noun relationships are more reliably marked by correlated distributional and phonological cues, and appear to be learned more readily. We tested whether experience with co-occurrence relationships that are more reliable promotes learning those that are less reliable using an artificial language paradigm. Prior experience with deterministically-cued contingencies did not promote learning of less reliably-cued structure, nor did prior experience with relationships instantiated in the same vocabulary. In contrast, prior experience with probabilistically-cued co-occurrence relationships instantiated in different vocabulary did enhance learning. Thus, experience with co-occurrence relationships sharing underlying structure but not vocabulary may be an important factor in learning grammatical patterns. Furthermore, experience with probabilistically-cued co-occurrence relationships, despite their difficultly for naïve learners, lays an important foundation for learning novel probabilistic structure.

  20. Who's the Boss? Patterns of Control in Adolescents' Sibling Relationships

    Science.gov (United States)

    Tucker, Corinna Jenkins; Updegraff, Kim

    2010-01-01

    The goals of this study were to examine longitudinal changes in perceived control in adolescents' sibling relationships and to describe the nature and correlates of three distinct control patterns: firstborn dominant, equal, and secondborn dominant. Firstborn and secondborn adolescents in 184 predominately European-American families participated…

  1. Doctoral Student Learning Patterns: Learning about Active Knowledge Creation or Passive Production

    Science.gov (United States)

    Vekkaila, Jenna; Pyhältö, Kirsi

    2016-01-01

    Doctoral studies are about learning to create new knowledge and to become a researcher. Yet surprisingly little is known about the individual learning patterns of doctoral students. The study aims to explore learning patterns among natural science doctoral students. The participants included 19 doctoral students from a top-level natural science…

  2. Challenge and Hindrance Stress: Relationships with Exhaustion, Motivation to Learn, and Learning Performance

    Science.gov (United States)

    LePine, Jeffrey A.; LePine, Marcie A.; Jackson, Christine L.

    2004-01-01

    In a study of 696 learners, the authors found that stress associated with challenges in the learning environment had a positive relationship with learning performance and that stress associated with hindrances in the learning environment had a negative relationship with learning performance. They also found evidence suggesting that these…

  3. Spatial patterns of close relationships across the lifespan

    Science.gov (United States)

    Jo, Hang-Hyun; Saramäki, Jari; Dunbar, Robin I. M.; Kaski, Kimmo

    2014-11-01

    The dynamics of close relationships is important for understanding the migration patterns of individual life-courses. The bottom-up approach to this subject by social scientists has been limited by sample size, while the more recent top-down approach using large-scale datasets suffers from a lack of detail about the human individuals. We incorporate the geographic and demographic information of millions of mobile phone users with their communication patterns to study the dynamics of close relationships and its effect in their life-course migration. We demonstrate how the close age- and sex-biased dyadic relationships are correlated with the geographic proximity of the pair of individuals, e.g., young couples tend to live further from each other than old couples. In addition, we find that emotionally closer pairs are living geographically closer to each other. These findings imply that the life-course framework is crucial for understanding the complex dynamics of close relationships and their effect on the migration patterns of human individuals.

  4. Relationship between major dietary patterns and sarcopenia among menopausal women.

    Science.gov (United States)

    Mohseni, Reza; Aliakbar, Sima; Abdollahi, Afsoun; Yekaninejad, Mir Saeed; Maghbooli, Zhila; Mirzaei, Khadijeh

    2017-12-01

    Dietary habits have been associated with the prevalence of the sarcopenia and limited data are available in this field for menopausal women. This study focused on the relationship between dietary patterns and prevalence of the sarcopenia in menopausal women. This cross-sectional study was done in 250 menopausal women 45 years old or older. Dietary data were collected using a food-frequency questionnaire and physical activity was assessed by International Physical Activity Questionnaire (IPAQ). Height, weight, skeletal muscle mass, hand grip, and gait speed were measured and sarcopenia was defined based on European Working Group on Sarcopenia in Older People (EWGSOP) guidelines. Using factor analysis, two major dietary patterns were found: a Western pattern (high in commercial beverage, sugar and dessert, snacks, solid fat, potato, high fat dairy, legume, organ meat, fast food, and sweets) and a Mediterranean pattern (high in olive, low-fat dairy, vegetable, fish, nut, and vegetable oil). After adjusting for confounding variables, for the highest vs the lowest tertiles, the Odds Ratio (OR) for sarcopenia was 1.06 [95% confidence interval (CI), 0.47-2.37] in the Western pattern and 0.40 [95% confidence interval (CI), 0.17-0.89] in the Mediterranean pattern. Our findings suggest that Mediterranean dietary pattern has a favorable role in the prevention of sarcopenia.

  5. Patterns for Designing Learning Management Systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Retalis, Symeon; Papasalouros, Andreas

    2003-01-01

    Learning Management Systems are sophisticated web-based applications that are being engineered today in increasing numbers by numerous institutions and companies that want to get involved in e-learning either for providing services to third parties, or for educating and training their own people.

  6. Relationship between Affective Dimension and Math Learning

    Directory of Open Access Journals (Sweden)

    Ronny Gamboa Araya

    2014-05-01

    Full Text Available Math has become an obstacle to achieve educational goals for a large number of students; thus it has transcended the academic world and has become a cognitive and emotional impairment.  What students feel, perceive, believe, and how they act directly influences this.  In addition, what teachers feel and perceive, their expectations, beliefs and attitudes towards the discipline also play an important role in how they teach and in the affective dimension of their students.  Based on theoretical aspects from various authors, this paper is aimed at addressing some elements regarding the affective dimension, and at showing elements pertaining to teachers and students, and their relationship with math learning and teaching.  It was concluded that the role of the affective dimension in math learning must be addressed by math educators in order to understand the process from the perspective of the actors associated with it, both students and teachers, as well as to achieve a change in the discipline by improving the beliefs and attitudes of students and teachers.

  7. Exploring the Behavioural Patterns of Entrepreneurial Learning: A Competency Approach

    Science.gov (United States)

    Man, Thomas Wing Yan

    2006-01-01

    Purpose: The purpose of this study is to empirically explore the behavioural patterns involved in entrepreneurial learning through a conceptualization of entrepreneurial learning as a "competency". Design/methodology/approach: Semi-structured interviews to 12 entrepreneurs were conducted with a focus on the critical incidents in which…

  8. Learning causes reorganization of neuronal firing patterns to represent related experiences within a hippocampal schema.

    Science.gov (United States)

    McKenzie, Sam; Robinson, Nick T M; Herrera, Lauren; Churchill, Jordana C; Eichenbaum, Howard

    2013-06-19

    According to schema theory as proposed by Piaget and Bartlett, learning involves the assimilation of new memories into networks of preexisting knowledge, as well as alteration of the original networks to accommodate the new information. Recent evidence has shown that rats form a schema of goal locations and that the hippocampus plays an essential role in adding new memories to the spatial schema. Here we examined the nature of hippocampal contributions to schema updating by monitoring firing patterns of multiple CA1 neurons as rats learned new goal locations in an environment in which there already were multiple goals. Before new learning, many neurons that fired on arrival at one goal location also fired at other goals, whereas ensemble activity patterns also distinguished different goal events, thus constituting a neural representation that linked distinct goals within a spatial schema. During new learning, some neurons began to fire as animals approached the new goals. These were primarily the same neurons that fired at original goals, the activity patterns at new goals were similar to those associated with the original goals, and new learning also produced changes in the preexisting goal-related firing patterns. After learning, activity patterns associated with the new and original goals gradually diverged, such that initial generalization was followed by a prolonged period in which new memories became distinguished within the ensemble representation. These findings support the view that consolidation involves assimilation of new memories into preexisting neural networks that accommodate relationships among new and existing memories.

  9. Patterns among the ashes: Exploring the relationship between landscape pattern and the emerald ash borer

    Science.gov (United States)

    Susan J. Crocker; Dacia M. Meneguzzo; Greg C. Liknes

    2010-01-01

    Landscape metrics, including host abundance and population density, were calculated using forest inventory and land cover data to assess the relationship between landscape pattern and the presence or absence of the emerald ash borer (EAB) (Agrilus planipennis Fairmaire). The Random Forests classification algorithm in the R statistical environment was...

  10. Learning Relationships in Community-Based Further Education

    Science.gov (United States)

    Mayes, J. Terry; Crossan, Beth

    2007-01-01

    This article offers a new perspective on pedagogy and learning culture by emphasizing the key role played by "learning relationships." The first part of the paper describes the theoretical background in the work of Bordieu, and Lave & Wenger, and considers how, through the role of identity, individual relationships reflect the influence of…

  11. Intermodal transport and distribution patterns in ports relationship to hinterland

    Science.gov (United States)

    Dinu, O.; Dragu, V.; Ruscă, F.; Ilie, A.; Oprea, C.

    2017-08-01

    It is of great importance to examine all interactions between ports, terminals, intermodal transport and logistic actors of distribution channels, as their optimization can lead to operational improvement. Proposed paper starts with a brief overview of different goods types and allocation of their logistic costs, with emphasis on storage component. Present trend is to optimize storage costs by means of port storage area buffer function, by making the best use of free storage time available, most of the ports offer. As a research methodology, starting point is to consider the cost structure of a generic intermodal transport (storage, handling and transport costs) and to link this to intermodal distribution patterns most frequently cast-off in port relationship to hinterland. The next step is to evaluate storage costs impact on distribution pattern selection. For a given value of port free storage time, a corresponding value of total storage time in the distribution channel can be identified, in order to substantiate a distribution pattern shift. Different scenarios for transport and handling costs variation, recorded when distribution pattern shift, are integrated in order to establish the reaction of the actors involved in port related logistic and intermodal transport costs evolution is analysed in order to optimize distribution pattern selection.

  12. Mining the Relationship between Spatial Mobility Patterns and POIs

    Directory of Open Access Journals (Sweden)

    Liping Huang

    2018-01-01

    Full Text Available Passengers move between urban places for diverse interests and drive the metropolitan regions as the aggregation of urban places to group into network communities. This paper aims to examine the relationship between the spatial patterns (represented by the network communities of mobility flows and places of interest (POIs. Furtherly, it intends to identify the categories of POIs that play the most significant role in shaping the spatial patterns of mobility flows. To achieve these purposes, we partition the study area into disjoint regions and construct the network with each partitioned region as a node and connection between them as links weighted by the mobility flows. The community detection algorithm is implemented on the network to discover spatial mobility patterns, and the multiclass classification based on the logistic regression method is adopted to classify spatial communities featured by POIs. Taking the taxi systems of Shanghai and Beijing as examples, we detect spatial communities based on the movement strengths among regions. Then we investigate their correlations with POIs. It finds that communities’ modularity correlates linearly with POIs; particularly governments, hotels, and the traffic facilities are of the most significance for generating the mobility patterns. This study can provide valuable insight into understanding the spatial mobility patterns from the perspective of POIs.

  13. Relationships of People with Learning Disabilities in Ireland

    Science.gov (United States)

    Bane, Geraldine; Deely, Marie; Donohoe, Brian; Dooher, Martin; Flaherty, Josephine; Iriarte, Edurne Garcia; Hopkins, Rob; Mahon, Ann; Minogue, Ger; Mc Donagh, Padraig; O'Doherty, Siobhain; Curry, Martin; Shannon, Stephen; Tierney, Edel; Wolfe, Marie

    2012-01-01

    This study explored the perspectives of people with learning disabilities on relationships and supports in the Republic of Ireland. A national research network consisting of 21 researchers with learning disabilities, 12 supporters, and 7 university researchers conducted the study. Researchers with learning disabilities and their supporters ran 16…

  14. Eliciting design patterns for e-learning systems

    Science.gov (United States)

    Retalis, Symeon; Georgiakakis, Petros; Dimitriadis, Yannis

    2006-06-01

    Design pattern creation, especially in the e-learning domain, is a highly complex process that has not been sufficiently studied and formalized. In this paper, we propose a systematic pattern development cycle, whose most important aspects focus on reverse engineering of existing systems in order to elicit features that are cross-validated through the use of appropriate, authentic scenarios. However, an iterative pattern process is proposed that takes advantage of multiple data sources, thus emphasizing a holistic view of the teaching learning processes. The proposed schema of pattern mining has been extensively validated for Asynchronous Network Supported Collaborative Learning (ANSCL) systems, as well as for other types of tools in a variety of scenarios, with promising results.

  15. A Bidirectional Relationship between Conceptual Organization and Word Learning

    Directory of Open Access Journals (Sweden)

    Tanya Kaefer

    2013-01-01

    Full Text Available This study explores the relationship between word learning and conceptual organization for preschool-aged children. We proposed a bidirectional model in which increases in word learning lead to increases in taxonomic organization, which, in turn, leads to further increases in word learning. In order to examine this model, we recruited 104 4-year olds from Head Start classrooms; 52 children participated in a two-week training program, and 52 children were in a control group. Results indicated that children in the training program learned more words and were more likely to sort taxonomically than children in the control condition. Furthermore, the number of words learned over the training period predicted the extent to which children categorized taxonomically. Additionally, this ability to categorize taxonomically predicted the number of words learned outside the training program, over and above the number of words learned in the program. These results suggest a bi-directional relationship between conceptual organization and word learning.

  16. Relationship between the Learning Styles Preferences and Academic Achievement

    Science.gov (United States)

    Awang, H.; Samad, N. Abd; Faiz, N. S. Mohd; Roddin, R.; Kankia, J. D.

    2017-08-01

    The individual learning differences that have been much explored relate to differences in personality, learning styles, strategies and conceptual of learning. This article studies the learning style profile exhibited by students towards the academic achievement in Malaysian Polytechnic. The relationship between learning styles of Polytechnic students and their academic achievement based on VARK learning styles model. The target population was international business students of Malaysian Polytechnic. By means of randomly sampling method, 103 students were selected as sample of research. By descriptive - survey research method and a questionnaire adapted from VARK Learning Style Index, required data were collected. According to the results, no significantly difference between learning style and academic achievement of students. Students academic achievement was quite similar to their individual learning styles. These facts reveal that each learning style has its own strengths and weaknesses.

  17. Temporal-pattern learning in neural models

    CERN Document Server

    Genís, Carme Torras

    1985-01-01

    While the ability of animals to learn rhythms is an unquestionable fact, the underlying neurophysiological mechanisms are still no more than conjectures. This monograph explores the requirements of such mechanisms, reviews those previously proposed and postulates a new one based on a direct electric coding of stimulation frequencies. Experi­ mental support for the option taken is provided both at the single neuron and neural network levels. More specifically, the material presented divides naturally into four parts: a description of the experimental and theoretical framework where this work becomes meaningful (Chapter 2), a detailed specifica­ tion of the pacemaker neuron model proposed together with its valida­ tion through simulation (Chapter 3), an analytic study of the behavior of this model when submitted to rhythmic stimulation (Chapter 4) and a description of the neural network model proposed for learning, together with an analysis of the simulation results obtained when varying seve­ ral factors r...

  18. [Relationship between self-directed learning with learning styles and strategies in medical students].

    Science.gov (United States)

    Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar

    2014-11-01

    Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direction. Schmeck learning strategies scale and Honey and Alonso (CHAEA) scales were used to evaluate learning styles and strategies. Theoretical learning style and deep processing learning strategy had positive correlations with self-direct learning. Medical students with theoretical styles and low retention of facts are those with greater ability to self-direct their learning. Further studies are required to determine the relationship between learning styles and strategies with SDL in medical students. The acquired knowledge will allow the adjustment of teaching strategies to encourage SDL.

  19. Machine learning of the reactor core loading pattern critical parameters

    International Nuclear Information System (INIS)

    Trontl, K.; Pevec, D.; Smuc, T.

    2007-01-01

    The usual approach to loading pattern optimization involves high degree of engineering judgment, a set of heuristic rules, an optimization algorithm and a computer code used for evaluating proposed loading patterns. The speed of the optimization process is highly dependent on the computer code used for the evaluation. In this paper we investigate the applicability of a machine learning model which could be used for fast loading pattern evaluation. We employed a recently introduced machine learning technique, Support Vector Regression (SVR), which has a strong theoretical background in statistical learning theory. Superior empirical performance of the method has been reported on difficult regression problems in different fields of science and technology. SVR is a data driven, kernel based, nonlinear modelling paradigm, in which model parameters are automatically determined by solving a quadratic optimization problem. The main objective of the work reported in this paper was to evaluate the possibility of applying SVR method for reactor core loading pattern modelling. The starting set of experimental data for training and testing of the machine learning algorithm was obtained using a two-dimensional diffusion theory reactor physics computer code. We illustrate the performance of the solution and discuss its applicability, i.e., complexity, speed and accuracy, with a projection to a more realistic scenario involving machine learning from the results of more accurate and time consuming three-dimensional core modelling code. (author)

  20. Effects of Learning Design Patterns in Service Learning Courses

    Science.gov (United States)

    Gerholz, Karl-Heinz; Liszt, Verena; Klingsieck, Katrin B.

    2018-01-01

    Students participate during service learning courses in a service project, which fits to a community need and has a link to curricular content. Students have a chance while engaged in the service project to apply curricular content in community practice, where they gain insights into civic engagement activities. Empirical studies revealed the…

  1. Machine Learning of the Reactor Core Loading Pattern Critical Parameters

    Directory of Open Access Journals (Sweden)

    Krešimir Trontl

    2008-01-01

    Full Text Available The usual approach to loading pattern optimization involves high degree of engineering judgment, a set of heuristic rules, an optimization algorithm, and a computer code used for evaluating proposed loading patterns. The speed of the optimization process is highly dependent on the computer code used for the evaluation. In this paper, we investigate the applicability of a machine learning model which could be used for fast loading pattern evaluation. We employ a recently introduced machine learning technique, support vector regression (SVR, which is a data driven, kernel based, nonlinear modeling paradigm, in which model parameters are automatically determined by solving a quadratic optimization problem. The main objective of the work reported in this paper was to evaluate the possibility of applying SVR method for reactor core loading pattern modeling. We illustrate the performance of the solution and discuss its applicability, that is, complexity, speed, and accuracy.

  2. Machine Learning of the Reactor Core Loading Pattern Critical Parameters

    International Nuclear Information System (INIS)

    Trontl, K.; Pevec, D.; Smuc, T.

    2008-01-01

    The usual approach to loading pattern optimization involves high degree of engineering judgment, a set of heuristic rules, an optimization algorithm, and a computer code used for evaluating proposed loading patterns. The speed of the optimization process is highly dependent on the computer code used for the evaluation. In this paper, we investigate the applicability of a machine learning model which could be used for fast loading pattern evaluation. We employ a recently introduced machine learning technique, support vector regression (SVR), which is a data driven, kernel based, nonlinear modeling paradigm, in which model parameters are automatically determined by solving a quadratic optimization problem. The main objective of the work reported in this paper was to evaluate the possibility of applying SVR method for reactor core loading pattern modeling. We illustrate the performance of the solution and discuss its applicability, that is, complexity, speed, and accuracy

  3. Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks.

    Science.gov (United States)

    Gardner, Brian; Sporea, Ioana; Grüning, André

    2015-12-01

    Information encoding in the nervous system is supported through the precise spike timings of neurons; however, an understanding of the underlying processes by which such representations are formed in the first place remains an open question. Here we examine how multilayered networks of spiking neurons can learn to encode for input patterns using a fully temporal coding scheme. To this end, we introduce a new supervised learning rule, MultilayerSpiker, that can train spiking networks containing hidden layer neurons to perform transformations between spatiotemporal input and output spike patterns. The performance of the proposed learning rule is demonstrated in terms of the number of pattern mappings it can learn, the complexity of network structures it can be used on, and its classification accuracy when using multispike-based encodings. In particular, the learning rule displays robustness against input noise and can generalize well on an example data set. Our approach contributes to both a systematic understanding of how computations might take place in the nervous system and a learning rule that displays strong technical capability.

  4. Pattern-Induced Covert Category Learning in Songbirds.

    Science.gov (United States)

    Comins, Jordan A; Gentner, Timothy Q

    2015-07-20

    Language is uniquely human, but its acquisition may involve cognitive capacities shared with other species. During development, language experience alters speech sound (phoneme) categorization. Newborn infants distinguish the phonemes in all languages but by 10 months show adult-like greater sensitivity to native language phonemic contrasts than non-native contrasts. Distributional theories account for phonetic learning by positing that infants infer category boundaries from modal distributions of speech sounds along acoustic continua. For example, tokens of the sounds /b/ and /p/ cluster around different mean voice onset times. To disambiguate overlapping distributions, contextual theories propose that phonetic category learning is informed by higher-level patterns (e.g., words) in which phonemes normally occur. For example, the vowel sounds /Ι/ and /e/ can occupy similar perceptual spaces but can be distinguished in the context of "with" and "well." Both distributional and contextual cues appear to function in speech acquisition. Non-human species also benefit from distributional cues for category learning, but whether category learning benefits from contextual information in non-human animals is unknown. The use of higher-level patterns to guide lower-level category learning may reflect uniquely human capacities tied to language acquisition or more general learning abilities reflecting shared neurobiological mechanisms. Using songbirds, European starlings, we show that higher-level pattern learning covertly enhances categorization of the natural communication sounds. This observation mirrors the support for contextual theories of phonemic category learning in humans and demonstrates a general form of learning not unique to humans or language. Copyright © 2015 Elsevier Ltd. All rights reserved.

  5. Is having similar eye movement patterns during face learning and recognition beneficial for recognition performance? Evidence from hidden Markov modeling.

    Science.gov (United States)

    Chuk, Tim; Chan, Antoni B; Hsiao, Janet H

    2017-12-01

    The hidden Markov model (HMM)-based approach for eye movement analysis is able to reflect individual differences in both spatial and temporal aspects of eye movements. Here we used this approach to understand the relationship between eye movements during face learning and recognition, and its association with recognition performance. We discovered holistic (i.e., mainly looking at the face center) and analytic (i.e., specifically looking at the two eyes in addition to the face center) patterns during both learning and recognition. Although for both learning and recognition, participants who adopted analytic patterns had better recognition performance than those with holistic patterns, a significant positive correlation between the likelihood of participants' patterns being classified as analytic and their recognition performance was only observed during recognition. Significantly more participants adopted holistic patterns during learning than recognition. Interestingly, about 40% of the participants used different patterns between learning and recognition, and among them 90% switched their patterns from holistic at learning to analytic at recognition. In contrast to the scan path theory, which posits that eye movements during learning have to be recapitulated during recognition for the recognition to be successful, participants who used the same or different patterns during learning and recognition did not differ in recognition performance. The similarity between their learning and recognition eye movement patterns also did not correlate with their recognition performance. These findings suggested that perceptuomotor memory elicited by eye movement patterns during learning does not play an important role in recognition. In contrast, the retrieval of diagnostic information for recognition, such as the eyes for face recognition, is a better predictor for recognition performance. Copyright © 2017 Elsevier Ltd. All rights reserved.

  6. Relationship between self-directed learning with learning styles and strategies in medical students

    OpenAIRE

    Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar

    2014-01-01

    Background: Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. Aim: To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. Material and Methods: One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direc...

  7. Ambient Displays and Game Design Patterns for Social Learning

    NARCIS (Netherlands)

    Kelle, Sebastian; Börner, Dirk; Kalz, Marco; Specht, Marcus; Glahn, Christian

    2011-01-01

    Kelle, S., Börner, D., Kalz, M., Specht, M., & Glahn, C. (2010). Ambient Displays and Game Design Patterns for Social Learning. In B. Chang, T. Hirashima, & H. Ogata (Eds.), Joint Proceedings of the Work-in-Progress Poster and Invited Young Researcher Symposium for the 18th International Conference

  8. The Relationship between Learning Organization Dimensions and Library Performance

    Science.gov (United States)

    Haley, Qing Kong

    2010-01-01

    The purpose of this research was to examine the relationship between learning organization dimensions and academic library performance. It studied whether differences existed in learning organization dimensions given the predictor variables of performance indicators, library resources, and demographics of the academic library. This research…

  9. Why Choose Online Learning: Relationship of Existing Factors and Chronobiology

    Science.gov (United States)

    Luo, Yi; Pan, Rui; Choi, Jea H.; Mellish, Linda; Strobel, Johannes

    2011-01-01

    Existing research on choice of online learning utilized factors such as perceived level of control, independence, and satisfaction, yet the relationship among these factors is under-researched. Due to the value of "learning anytime," biological factors underlying "choice of time" might provide additional insights. This article…

  10. The Relationship between Learning Style, Test Anxiety and Academic Achievement

    Science.gov (United States)

    Yazici, Kubilay

    2017-01-01

    This study aimed to investigate the relationship between social studies pre-service teachers' (SSPTs) learning style, test anxiety and academic achievement. A total of 315 SSPTs participated in the study. Data were collected using Turkish versions of Grasha-Reichmann learning style scale (GRLSS) and test anxiety scale (TAS) by Spielberger.…

  11. An Investigation of the Relationship between Autonomous Learning and Lifelong Learning

    Directory of Open Access Journals (Sweden)

    Cengiz Yurdakul

    2016-12-01

    Full Text Available The present study aims to investigate the relationship between autonomous learning and lifelong learning. The study group consists of 657 secondary school students enrolled in three public schools, aged 11 – 16 from Sakarya, Turkey. In this study, relationships between the variables of autonomous learning and lifelong learning and the sub-dimensions of autonomous learning were investigated. Pearson Product Moment Correlation, Partial Correlation methods were utilized in order to investigate these relationships. Autonomous Learning Scale (12 items which was developed by Macaskill and Taylor (2010, was adapted to Turkish by Arslan and Yurdakul (2015 was conducted to measure autonomous learning. Lifelong Learning Scale (14 items which was developed by Kirby, Knapper, Lamon and Egnatoff (2010, was adapted to Turkish by Arslan and Akcaalan (2015 was carried out to assess lifelong learning level. In the light of the research findings, it can be purported that autonomous learning and lifelong learning scores were correlating significantly. According to the existing results, it can be argued that autonomous learning which can be defined as the capacity to take charge of one’s own learning, has a positive interaction with lifelong learning which can be found voice in one’s ongoing, voluntary, and self-motivated learning.

  12. Grammar Learning Strategies and Language Attainment: Seeking a Relationship

    OpenAIRE

    Pawlak Mirosław

    2009-01-01

    Despite major advances in research on language learning strategies, there are still areas that have received only scant attention, and one of them is undoubtedly learning grammar. The paper contributes to the paucity of empirical investigations in this domain by presenting the findings of a study which sought to investigate the relationship between the use of grammar learning strategies (GLS) reported by 142 English Department students and target language attainment, operationalized as their ...

  13. Learning in Early Childhood: Experiences, Relationships and "Learning to Be"

    Science.gov (United States)

    Tayler, Collette

    2015-01-01

    Learning in the earliest stage of life--the infancy, toddlerhood and preschool period--is relational and rapid. Child-initiated and adult-mediated conversations, playful interactions and learning through active involvement are integral to young children making sense of their environments and to their development over time. The child's experience…

  14. The Role of Statistical Learning and Working Memory in L2 Speakers' Pattern Learning

    Science.gov (United States)

    McDonough, Kim; Trofimovich, Pavel

    2016-01-01

    This study investigated whether second language (L2) speakers' morphosyntactic pattern learning was predicted by their statistical learning and working memory abilities. Across three experiments, Thai English as a Foreign Language (EFL) university students (N = 140) were exposed to either the transitive construction in Esperanto (e.g., "tauro…

  15. A Learning Patterns Perspective on Student Learning in Higher Education: State of the Art and Moving Forward

    Science.gov (United States)

    Vermunt, Jan D.; Donche, Vincent

    2017-01-01

    The aim of this article is to review the state of the art of research and theory development on student learning patterns in higher education and beyond. First, the learning patterns perspective and the theoretical framework are introduced. Second, research published since 2004 on student learning patterns is systematically identified and…

  16. Patterns in Teacher Learning in Different Phases of the Professional Career

    Science.gov (United States)

    Vermunt, Jan D.; Endedijk, Maaike D.

    2011-01-01

    This paper reviews recent research on learning patterns of student teachers and experienced teachers, mostly in the context of educational innovation and teachers' professional development. The discussion is structured along a model of teacher learning patterns comprising learning activities, regulation of learning, beliefs on own learning about…

  17. Relationship between Online Learning Readiness and Structure and Interaction of Online Learning Students

    Science.gov (United States)

    Demir Kaymak, Zeliha; Horzum, Mehmet Baris

    2013-01-01

    Current study tried to determine whether a relationship exists between readiness levels of the online learning students for online learning and the perceived structure and interaction in online learning environments. In the study, cross sectional survey model was used. The study was conducted with 320 voluntary students studying online learning…

  18. Problem-Based Learning and Learning Approach: Is There a Relationship?

    Science.gov (United States)

    Groves, Michele

    2005-01-01

    Aim: To assess the influence of a graduate-entry PBL (problem-based learning) curriculum on individual learning style; and to investigate the relationship between learning style, academic achievement and clinical reasoning skill. Method: Subjects were first-year medical students completed the Study Process Questionnaire at the commencement, and…

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

    Directory of Open Access Journals (Sweden)

    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.

  20. Design Pattern Mining Using Distributed Learning Automata and DNA Sequence Alignment

    Science.gov (United States)

    Esmaeilpour, Mansour; Naderifar, Vahideh; Shukur, Zarina

    2014-01-01

    Context Over the last decade, design patterns have been used extensively to generate reusable solutions to frequently encountered problems in software engineering and object oriented programming. A design pattern is a repeatable software design solution that provides a template for solving various instances of a general problem. Objective This paper describes a new method for pattern mining, isolating design patterns and relationship between them; and a related tool, DLA-DNA for all implemented pattern and all projects used for evaluation. DLA-DNA achieves acceptable precision and recall instead of other evaluated tools based on distributed learning automata (DLA) and deoxyribonucleic acid (DNA) sequences alignment. Method The proposed method mines structural design patterns in the object oriented source code and extracts the strong and weak relationships between them, enabling analyzers and programmers to determine the dependency rate of each object, component, and other section of the code for parameter passing and modular programming. The proposed model can detect design patterns better that available other tools those are Pinot, PTIDEJ and DPJF; and the strengths of their relationships. Results The result demonstrate that whenever the source code is build standard and non-standard, based on the design patterns, then the result of the proposed method is near to DPJF and better that Pinot and PTIDEJ. The proposed model is tested on the several source codes and is compared with other related models and available tools those the results show the precision and recall of the proposed method, averagely 20% and 9.6% are more than Pinot, 27% and 31% are more than PTIDEJ and 3.3% and 2% are more than DPJF respectively. Conclusion The primary idea of the proposed method is organized in two following steps: the first step, elemental design patterns are identified, while at the second step, is composed to recognize actual design patterns. PMID:25243670

  1. Design pattern mining using distributed learning automata and DNA sequence alignment.

    Directory of Open Access Journals (Sweden)

    Mansour Esmaeilpour

    Full Text Available CONTEXT: Over the last decade, design patterns have been used extensively to generate reusable solutions to frequently encountered problems in software engineering and object oriented programming. A design pattern is a repeatable software design solution that provides a template for solving various instances of a general problem. OBJECTIVE: This paper describes a new method for pattern mining, isolating design patterns and relationship between them; and a related tool, DLA-DNA for all implemented pattern and all projects used for evaluation. DLA-DNA achieves acceptable precision and recall instead of other evaluated tools based on distributed learning automata (DLA and deoxyribonucleic acid (DNA sequences alignment. METHOD: The proposed method mines structural design patterns in the object oriented source code and extracts the strong and weak relationships between them, enabling analyzers and programmers to determine the dependency rate of each object, component, and other section of the code for parameter passing and modular programming. The proposed model can detect design patterns better that available other tools those are Pinot, PTIDEJ and DPJF; and the strengths of their relationships. RESULTS: The result demonstrate that whenever the source code is build standard and non-standard, based on the design patterns, then the result of the proposed method is near to DPJF and better that Pinot and PTIDEJ. The proposed model is tested on the several source codes and is compared with other related models and available tools those the results show the precision and recall of the proposed method, averagely 20% and 9.6% are more than Pinot, 27% and 31% are more than PTIDEJ and 3.3% and 2% are more than DPJF respectively. CONCLUSION: The primary idea of the proposed method is organized in two following steps: the first step, elemental design patterns are identified, while at the second step, is composed to recognize actual design patterns.

  2. Design pattern mining using distributed learning automata and DNA sequence alignment.

    Science.gov (United States)

    Esmaeilpour, Mansour; Naderifar, Vahideh; Shukur, Zarina

    2014-01-01

    Over the last decade, design patterns have been used extensively to generate reusable solutions to frequently encountered problems in software engineering and object oriented programming. A design pattern is a repeatable software design solution that provides a template for solving various instances of a general problem. This paper describes a new method for pattern mining, isolating design patterns and relationship between them; and a related tool, DLA-DNA for all implemented pattern and all projects used for evaluation. DLA-DNA achieves acceptable precision and recall instead of other evaluated tools based on distributed learning automata (DLA) and deoxyribonucleic acid (DNA) sequences alignment. The proposed method mines structural design patterns in the object oriented source code and extracts the strong and weak relationships between them, enabling analyzers and programmers to determine the dependency rate of each object, component, and other section of the code for parameter passing and modular programming. The proposed model can detect design patterns better that available other tools those are Pinot, PTIDEJ and DPJF; and the strengths of their relationships. The result demonstrate that whenever the source code is build standard and non-standard, based on the design patterns, then the result of the proposed method is near to DPJF and better that Pinot and PTIDEJ. The proposed model is tested on the several source codes and is compared with other related models and available tools those the results show the precision and recall of the proposed method, averagely 20% and 9.6% are more than Pinot, 27% and 31% are more than PTIDEJ and 3.3% and 2% are more than DPJF respectively. The primary idea of the proposed method is organized in two following steps: the first step, elemental design patterns are identified, while at the second step, is composed to recognize actual design patterns.

  3. Relationship between student preparedness, learning experiences ...

    African Journals Online (AJOL)

    Background. One of the more discernible needs that challenges universities is addressing the level of preparedness of students entering the higher education environment. Students expect to participate in active learning, while at the same time adopting a certain level of agency to successfully pass through higher ...

  4. Relationships Play Primary Role in Boys' Learning

    Science.gov (United States)

    Reichert. Michael; Hawley. Richard

    2013-01-01

    There is a pantheon of literature and popular panic pointing toward the academic ascent of girls and the decline of boys. On the contrary, the reality is different: Boys are learning and succeeding in many places. Two studies find that the places where boys excel have several common characteristics, including teachers who relate to the boys…

  5. Internet Relationships: Building Learning Communities through Friendship

    Science.gov (United States)

    Bikowski, Dawn

    2007-01-01

    The experiences of students in an online learning community were explored in this qualitative case study using social presence theory as an interpretive lens. Participants included five undergraduate students in a certificate program at a large Midwestern university. Students who felt a sense of community online most highly valued the friendship…

  6. Learning relationships from theory to design

    Directory of Open Access Journals (Sweden)

    C. J.H. Fowler

    1999-12-01

    Full Text Available Over the last five years we have seen a very significant increase in the use of Information Communication Technologies (ICT in schools, colleges and university. For example in 1998, there were over 195 accredited US universities offering a thousand or more distance learning courses (Philips and Yager, 1998. By no means were all of these new courses associated with educational innovation. The speed and ease of implementation of Webbased approaches, in particular, is resulting in design by imitation of current courses and methods, with a real lack of innovation or utilization of the power inherent in technologybased learning. Although matters are improving (see for example Brown, 1999, part of the reason for this failure to innovate is, we argue, because of the large gap between theory and practice.

  7. 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...

  8. Learning motivation and student achievement : description analysis and relationships both

    Directory of Open Access Journals (Sweden)

    Ari Riswanto

    2017-03-01

    Full Text Available Education is very important for humans, through the education throughout the world will increasingly flourish. However, if faced with the activities within the learning process, not a few men (students who have less motivation in learning activities. This resulted in fewer maximal learning processes and in turn will affect student achievement. This study focuses to discuss matters relating to the motivation to learn and student achievement, with the aim of strengthening the importance of motivation in the learning process so that a clear relationship with student achievement. The method used is descriptive analysis and simple correlation to the 97 students taking the course introduction to Microeconomics and Indonesian. The conclusion from this research is the students have a good record if it has a well and motivated as well, and this study concludes their tie's difference between learning motivation and achievement of students on two different courses.

  9. Prevalence and Patterns of Learning Disabilities in School Children.

    Science.gov (United States)

    Padhy, Susanta Kumar; Goel, Sonu; Das, Shyam Sinder; Sarkar, Siddharth; Sharma, Vijaylaxmi; Panigrahi, Mahima

    2016-04-01

    To assess the prevalence and patterns of learning disabilities (LD) in school going children in a northern city of India. The present cross-sectional study comprised of three-staged screening procedure for assessing learning disabilities of 3rd and 4th grade students studying in government schools. The first stage comprised of the teacher identifying at-risk student. In the second stage, teachers assessed at-risk students using Specific Learning Disability-Screening Questionnaire (SLD-SQ). The third stage comprised of assessment of the screen positive students using Brigance Diagnostic Inventory (BDI) part of NIMHANS Index of Specific Learning Disabilities for identifying the cases of LD. A total of 1211 (33.6%) children out of the total screened (n = 3600) were identified as at-risk by the teachers at the first stage. Of them, 360 were found to screen positive on the second stage using SLD-SQ. The most common deficits were missing out words or sentences while reading, misplacing letters or words while reading or writing, and making frequent mistake in spelling while writing or reading. Of these, 108 children were confirmed to have learning disability on the third stage using BDI, which represented 3.08% of the total population. Learning disability is an important concern in young school aged children. Early identification of such students can help in early institution of intervention and suitable modifications in teaching techniques.

  10. Learning patterns of life from intelligence analyst chat

    Science.gov (United States)

    Schneider, Michael K.; Alford, Mark; Babko-Malaya, Olga; Blasch, Erik; Chen, Lingji; Crespi, Valentino; HandUber, Jason; Haney, Phil; Nagy, Jim; Richman, Mike; Von Pless, Gregory; Zhu, Howie; Rhodes, Bradley J.

    2016-05-01

    Our Multi-INT Data Association Tool (MIDAT) learns patterns of life (POL) of a geographical area from video analyst observations called out in textual reporting. Typical approaches to learning POLs from video make use of computer vision algorithms to extract locations in space and time of various activities. Such approaches are subject to the detection and tracking performance of the video processing algorithms. Numerous examples of human analysts monitoring live video streams annotating or "calling out" relevant entities and activities exist, such as security analysis, crime-scene forensics, news reports, and sports commentary. This user description typically corresponds with textual capture, such as chat. Although the purpose of these text products is primarily to describe events as they happen, organizations typically archive the reports for extended periods. This archive provides a basis to build POLs. Such POLs are useful for diagnosis to assess activities in an area based on historical context, and for consumers of products, who gain an understanding of historical patterns. MIDAT combines natural language processing, multi-hypothesis tracking, and Multi-INT Activity Pattern Learning and Exploitation (MAPLE) technologies in an end-to-end lab prototype that processes textual products produced by video analysts, infers POLs, and highlights anomalies relative to those POLs with links to "tracks" of related activities performed by the same entity. MIDAT technologies perform well, achieving, for example, a 90% F1-value on extracting activities from the textual reports.

  11. A supervised learning rule for classification of spatiotemporal spike patterns.

    Science.gov (United States)

    Lilin Guo; Zhenzhong Wang; Adjouadi, Malek

    2016-08-01

    This study introduces a novel supervised algorithm for spiking neurons that take into consideration synapse delays and axonal delays associated with weights. It can be utilized for both classification and association and uses several biologically influenced properties, such as axonal and synaptic delays. This algorithm also takes into consideration spike-timing-dependent plasticity as in Remote Supervised Method (ReSuMe). This paper focuses on the classification aspect alone. Spiked neurons trained according to this proposed learning rule are capable of classifying different categories by the associated sequences of precisely timed spikes. Simulation results have shown that the proposed learning method greatly improves classification accuracy when compared to the Spike Pattern Association Neuron (SPAN) and the Tempotron learning rule.

  12. Relationship between Academic Performance, Spatial Competence, Learning Styles and Attrition

    Directory of Open Access Journals (Sweden)

    Marianela Noriega Biggio

    2013-04-01

    Full Text Available This paper discusses the results of research on factors affecting academic performance and attrition in a sample of 1,500 freshman students majoring in architecture, design and urbanism at the Universidad de Buenos Aires, Argentina [University of Buenos Aires, Argentina] who were enrolled in a drafting course. The hypotheses we tested concern the mediating role of learning styles on the relationship between spatial competence and academic performance, learning-style differences by gender and cohort, and the relationship between attrition, spatial competence level and learning style. Statistical analysis of the data was performed and spatial competence enhanced by motivational profile was found to predict final achievement. Educational implications are identified, highlighting the need to promote in students those academic behaviors that characterize a self-regulated learning style and encourage the use of specific intellectual abilities.

  13. SMALL GROUP LEARNING METHODS AND THEIR EFFECT ON LEARNERS’ RELATIONSHIPS

    Directory of Open Access Journals (Sweden)

    Radka Borůvková

    2016-04-01

    Full Text Available Building relationships in the classroom is an essential part of any teacher's career. Having healthy teacher-to-learner and learner-to-learner relationships is an effective way to help prevent pedagogical failure, social conflict and quarrelsome behavior. Many strategies are available that can be used to achieve good long-lasting relationships in the classroom setting. Successful teachers’ pedagogical work in the classroom requires detailed knowledge of learners’ relationships. Good understanding of the relationships is necessary, especially in the case of teenagers’ class. This sensitive period of adolescence demands attention of all teachers who should deal with the problems of their learners. Special care should be focused on children that are out of their classmates’ interest (so called isolated learners or isolates in such class and on possibilities to integrate them into the class. Natural idea how to do it is that of using some modern non-traditional teaching/learning methods, especially the methods based on work in small groups involving learners’ cooperation. Small group education (especially problem-based learning, project-based learning, cooperative learning, collaborative learning or inquire-based learning as one of these methods involves a high degree of interaction. The effectiveness of learning groups is determined by the extent to which the interaction enables members to clarify their own understanding, build upon each other's contributions, sift out meanings, ask and answer questions. An influence of this kind of methods (especially cooperative learning (CL on learners’ relationships was a subject of the further described research. Within the small group education, students work with their classmates to solve complex and authentic problems that help develop content knowledge as well as problem-solving, reasoning, communication, and self-assessment skills. The aim of the research was to answer the question: Can the

  14. Multiple mentoring relationships facilitate learning during fieldwork.

    Science.gov (United States)

    Nolinske, T

    1995-01-01

    Fieldwork provides a means by which students are socialized into their profession and their careers. During Level I and Level II fieldwork, students acquire and apply the knowledge, skills, and attitudes that will enable them to achieve entry-level competence The experiences that students have during Level II fieldwork influence their subsequent career choices. To support these experiences, students form a variety of helping relationships with faculty members, clinicians, peers, family, and friends. This article examines the role and responsibilities of the student as protégé and of the clinical educator as information peer, collegial peer, special peer, and mentor. In light of the challenges faced by most clinicians secondary to health care reform, an alternative to the one-to-one supervision model is presented. The multiple mentoring model of fieldwork supervision has several advantages: (a) fieldwork educators work with students according to their strengths and interests; (b) the model promotes collegiality and clinical reasoning skills because students use each other as resources and observe different fieldwork educators approaching similar situations; and (c) the model allows a fieldwork site to accept more students at one time, while minimizing stress on any one fieldwork educator. A framework defining the functions of the mentor-protégé relationship is provided, with an emphasis on the effect that clinical educators have in their roles as mentors, guides, role models, and teachers who provide opportunities for the student to develop entry-level competency in a chosen profession.

  15. The Relationship Between Artificial and Second Language Learning.

    Science.gov (United States)

    Ettlinger, Marc; Morgan-Short, Kara; Faretta-Stutenberg, Mandy; Wong, Patrick C M

    2016-05-01

    Artificial language learning (ALL) experiments have become an important tool in exploring principles of language and language learning. A persistent question in all of this work, however, is whether ALL engages the linguistic system and whether ALL studies are ecologically valid assessments of natural language ability. In the present study, we considered these questions by examining the relationship between performance in an ALL task and second language learning ability. Participants enrolled in a Spanish language class were evaluated using a number of different measures of Spanish ability and classroom performance, which was compared to IQ and a number of different measures of ALL performance. The results show that success in ALL experiments, particularly more complex artificial languages, correlates positively with indices of L2 learning even after controlling for IQ. These findings provide a key link between studies involving ALL and our understanding of second language learning in the classroom. Copyright © 2015 Cognitive Science Society, Inc.

  16. Learning alternative movement coordination patterns using reinforcement feedback.

    Science.gov (United States)

    Lin, Tzu-Hsiang; Denomme, Amber; Ranganathan, Rajiv

    2018-05-01

    One of the characteristic features of the human motor system is redundancy-i.e., the ability to achieve a given task outcome using multiple coordination patterns. However, once participants settle on using a specific coordination pattern, the process of learning to use a new alternative coordination pattern to perform the same task is still poorly understood. Here, using two experiments, we examined this process of how participants shift from one coordination pattern to another using different reinforcement schedules. Participants performed a virtual reaching task, where they moved a cursor to different targets positioned on the screen. Our goal was to make participants use a coordination pattern with greater trunk motion, and to this end, we provided reinforcement by making the cursor disappear if the trunk motion during the reach did not cross a specified threshold value. In Experiment 1, we compared two reinforcement schedules in two groups of participants-an abrupt group, where the threshold was introduced immediately at the beginning of practice; and a gradual group, where the threshold was introduced gradually with practice. Results showed that both abrupt and gradual groups were effective in shifting their coordination patterns to involve greater trunk motion, but the abrupt group showed greater retention when the reinforcement was removed. In Experiment 2, we examined the basis of this advantage in the abrupt group using two additional control groups. Results showed that the advantage of the abrupt group was because of a greater number of practice trials with the desired coordination pattern. Overall, these results show that reinforcement can be successfully used to shift coordination patterns, which has potential in the rehabilitation of movement disorders.

  17. Relationship between Designing Computer-based Educational Games, and Learning Motivation among Elementary Students

    Directory of Open Access Journals (Sweden)

    Zahra Jamebozorg

    2017-12-01

    Full Text Available Background: Motivation is an important factor in learning. Educational games increase the learning motivation and understanding of students by creating a sense of joy, satisfaction and involvement. However, it is necessary to incorporate learning elements into the games, differently. In this study, the researcher tried to provide a model for designing educational games and determining its relationship with learning motivation. Materials and Methods:  Components of the model for designing educational games were first determined qualitatively. Then, the relationship between the educational games designed and students' learning motivation was determined. A self-made questionnaire, with elements of educational game designing along with another questionnaire was used to determine the learning motivation. The obtained data were analyzed using Pearson correlation coefficient and independent t-test. Results: The model, with 4 main components and 26 sub-components, was designed. That set of various elements, including: the rules, objectives, tools, results and feedbacks, accidents, challenges and interactions displayed in the context of the game, along with instructional design component such as analysis, design, development, utilization and evaluation were used. After implementation of the pattern and designing the "States of Matter" lesson in the science book for the third graders, the results showed that there is a significant correlation between the use of designed educational game and components of the students’ learning motivation (r= 0.85 and P=0.01. Conclusion: According to this study given the relationship between the use of educational games and motivation to learn, it can be concluded that the educational games designed according to scientific principles could lead to the improved students’ motivation and learning.

  18. Relationship between Individual and Organizational Learning: Mediating Role of Team Learning

    OpenAIRE

    Monika Stelmaszczyk

    2016-01-01

    The aim of this paper is to recognize the relationships between individual and organizational learning while considering team learning as a mediator of these relationships. The research object is a large Polish enterprise specializing in the production of cast-iron items. In order to test assumed research hypotheses, statistical analyses were conducted using the IBM SPSS Statistics Suite, version 20. The suite helped conduct correlation analyses concatenation, line regression analyses and med...

  19. Learning by Drilling: Interfirm Learning and Relationship Persistence in the Texas Oilpatch

    OpenAIRE

    Ryan Kellogg

    2011-01-01

    This article examines learning-by-doing that is specific not just to individual firms but to pairs of firms working together in a contracting relationship. Using data from the oil and gas industry, I find that the productivity of an oil production company and its drilling contractor increases with their joint experience. This learning is relationship-specific: drilling rigs cannot fully appropriate the productivity gains acquired through experience with one production company to their work fo...

  20. Learning by Drilling: Inter-Firm Learning and Relationship Persistence in the Texas Oilpatch

    OpenAIRE

    Ryan Kellogg

    2009-01-01

    This paper examines the importance of learning-by-doing that is specific not just to individual firms, but to pairs of firms working together in a contracting relationship. Using new, detailed data from the oil and gas industry, I find that the joint productivity of an oil production company and its drilling contractor is enhanced significantly as they accumulate experience working together. This learning is relationship-specific: drilling rigs generally cannot fully appropriate the productiv...

  1. Relationship between Individual and Organizational Learning: Mediating Role of Team Learning

    Directory of Open Access Journals (Sweden)

    Monika Stelmaszczyk

    2016-12-01

    Full Text Available The aim of this paper is to recognize the relationships between individual and organizational learning while considering team learning as a mediator of these relationships. The research object is a large Polish enterprise specializing in the production of cast-iron items. In order to test assumed research hypotheses, statistical analyses were conducted using the IBM SPSS Statistics Suite, version 20. The suite helped conduct correlation analyses concatenation, line regression analyses and mediation analyses using the PROCESS macro by Hayes and Preacher. The research results show a statistically significant relationship between individual learning and each of the five dimensions of organizational learning [clarity of purpose and mission; leadership commitment and empowerment; knowledge transfer; experimentation and rewards; and teamwork and group problem solving]. What is more, they prove that team learning is a mediator of a relationship between individual and organizational learning. Interestingly, only one full mediation has been observed while researching the mediative effect of team learning in relation to each out of the five dimensions of organizational learning. It occurred in relation to experimentation and rewards. In the remaining cases these were partial mediations.

  2. An Investigation of the Relationship between Language Learning Strategies and Learning Styles in Turkish Freshman Students

    Science.gov (United States)

    Balci, Özgül

    2017-01-01

    The purpose of this study is to determine the relationship between the language learning strategies of freshman students and their learning styles. This study is a descriptive research and employs a relational screening model. Participants of the study were 328 freshman students majoring in different fields at Necmettin Erbakan University Ahmet…

  3. The Relationship among Transformational Teaching and Student Motivation and Learning

    Science.gov (United States)

    Noland, Aaron; Richards, Keith

    2014-01-01

    Transformational leadership is a well-documented and validated leadership perspective studied in management and organizational contexts that has recently been applied to the instructional context. The current study predicted a positive relationship between teacher transformational leadership and learning, and motivation. A population of 273…

  4. Otitis Media and Learning Disabilities: More Than a Relationship?

    Science.gov (United States)

    Quick, Carol; Mandell, Colleen

    The relationship between recurrent otitis media (middle ear infection characterized by the presence of middle ear fluid and possibly leading to a temporary conductive hearing loss) and learning disabilities (LD) is examined. Traditional treatment approaches (antibiotic medication and surgery) are reviewed. The definition of LD is presented and the…

  5. The relationship between students' perceptual learning style preferences, language learning strategies and English language vocabulary size

    OpenAIRE

    Gorevanova, Anna

    2000-01-01

    Ankara : The Institute of Economic and Social Sciences Bilkent Univ., 2000. Thesis (Master's) -- Bilkent University, 2000. Includes bibliographical references leaves 54-58 This study investigated the relationship between students’ perceptual learning style preferences, language learning strategies and English language vocabulary size. It is very important for teachers to be aware of students’ preferences in learning to help them be more successful and to avoid conflicts when...

  6. Adult attachment and male aggression in couple relationships: the demand-withdraw communication pattern and relationship satisfaction as mediators.

    Science.gov (United States)

    Fournier, Benoit; Brassard, Audrey; Shaver, Phillip R

    2011-07-01

    This study examines men's domestic aggression as a function of attachment insecurities, considering the mediating roles of the demand-withdraw communication pattern and relationship satisfaction. The sample included 55 Canadian men undergoing counseling for relationship difficulties including aggression. The men completed questionnaires assessing physical and psychological aggression, the two dimensions of attachment insecurity (anxiety over abandonment and avoidance of intimacy), the demand-withdraw communication pattern, relationship satisfaction, and social desirability (a control measure). As predicted, there was an association between attachment anxiety and aggression (both physical and psychological), which was mediated by the man demands/woman withdraws (MD/WW) pattern (as reported by the men). There was no evidence of mediation by the woman demands/man withdraws pattern, as reported by the men. Relationship satisfaction mediated the association between attachment anxiety and psychological (but not physical) aggression, but did not mediate the link between avoidance and aggression (physical or psychological). Limitations and clinical implications are discussed.

  7. The Relationship Between EFL Learners’ Resilience and Autonomous Learning

    Directory of Open Access Journals (Sweden)

    Parinaz Kajabadi

    2016-07-01

    Full Text Available This study aimed to investigate relationship between resilience as a personality factor defined in positive psychology and autonomous learning as a newly developed subject in learning and teaching (EFL area. This research employed resilience scale by Connor and Davidson (2003 and learner autonomy questionnaire by Spratt, Humphreys and Chan (2002 to evaluate EFL learners’ resilience level and their autonomy. To meet the purpose of this study, about 150 male and female participants randomly selected among undergraduate students majoring English language translation. Collected data of two questionnaires were analyzed through Spearman’s correlation and regression. Findings of the correlation analysis revealed that there is a significant relationship between resilience and autonomy (ρ = .29, n = 156, p < .01. Also, results showed that resilience is a strong predictor for autonomous learning.

  8. The Role of the Constructivist Learning Theory and Collaborative Learning Environment on Wiki Classroom, and the Relationship between Them

    Science.gov (United States)

    Alzahrani, Ibraheem; Woollard, John

    2013-01-01

    This paper seeks to discover the relationship between both the social constructivist learning theory and the collaborative learning environment. This relationship can be identified by giving an example of the learning environment. Due to wiki characteristics, Wiki technology is one of the most famous learning environments that can show the…

  9. English-learning infants' perception of word stress patterns.

    Science.gov (United States)

    Skoruppa, Katrin; Cristià, Alejandrina; Peperkamp, Sharon; Seidl, Amanda

    2011-07-01

    Adult speakers of different free stress languages (e.g., English, Spanish) differ both in their sensitivity to lexical stress and in their processing of suprasegmental and vowel quality cues to stress. In a head-turn preference experiment with a familiarization phase, both 8-month-old and 12-month-old English-learning infants discriminated between initial stress and final stress among lists of Spanish-spoken disyllabic nonwords that were segmentally varied (e.g. ['nila, 'tuli] vs [lu'ta, pu'ki]). This is evidence that English-learning infants are sensitive to lexical stress patterns, instantiated primarily by suprasegmental cues, during the second half of the first year of life. © 2011 Acoustical Society of America

  10. Assessment of the genetic diversity and pattern of relationship of ...

    African Journals Online (AJOL)

    An understanding of the extent, distribution and patterns of genetic variation is useful for estimation of any possible loss of genetic diversity and assessment of genetic variability and its potential use in breeding programs, including establishment of heterotic groups. This study assessed patterns of genetic diversity and ...

  11. Patterns of Indigenous Learning: An Ethnographic Study on How Kindergartners Learn in Mana, Fiji

    Science.gov (United States)

    Lee, Chih-Yih; Sparks, Paul

    2015-01-01

    Technology has greatly impacted educational systems around the world, even in the most geographically isolated places. This study utilizes an ethnographic approach to examine the patterns of learning in a kindergarten in Mana, Fiji. Data comprised of interviews, observations and examination of related artifacts. The results provide baseline data…

  12. Adult Attachment and Male Aggression in Couple Relationships: The Demand-Withdraw Communication Pattern and Relationship Satisfaction as Mediators

    Science.gov (United States)

    Fournier, Benoit; Brassard, Audrey; Shaver, Phillip R.

    2011-01-01

    This study examines men's domestic aggression as a function of attachment insecurities, considering the mediating roles of the demand-withdraw communication pattern and relationship satisfaction. The sample included 55 Canadian men undergoing counseling for relationship difficulties including aggression. The men completed questionnaires assessing…

  13. Intergenerational Patterns of Union Formation and Relationship Quality

    Science.gov (United States)

    Sassler, Sharon; Cunningham, Anna; Lichter, Daniel T.

    2009-01-01

    The authors examine whether young adults who experienced their parents' divorce and new relationships have different relationship trajectories than those who spent their childhoods living with biological parents in married-couple families. The analysis is based on longitudinal reports from more than 1,500 children from Wave 1 of the 1987-1988…

  14. A Study of the Relationships among Learning Styles, Participation Types, and Performance in Programming Language Learning Supported by Online Forums

    Science.gov (United States)

    Shaw, Ruey-Shiang

    2012-01-01

    This study is focused on the relationships among learning styles, participation types, and learning performance for programming language learning supported by an online forum. Kolb's learning style inventory was used in this study to determine a learner's learning type: "Diverger", "Assimilator", "Converger", and "Accommodator". Social Learning…

  15. Social Learning Network Analysis Model to Identify Learning Patterns Using Ontology Clustering Techniques and Meaningful Learning

    Science.gov (United States)

    Firdausiah Mansur, Andi Besse; Yusof, Norazah

    2013-01-01

    Clustering on Social Learning Network still not explored widely, especially when the network focuses on e-learning system. Any conventional methods are not really suitable for the e-learning data. SNA requires content analysis, which involves human intervention and need to be carried out manually. Some of the previous clustering techniques need…

  16. Involvement of Working Memory in College Students' Sequential Pattern Learning and Performance

    Science.gov (United States)

    Kundey, Shannon M. A.; De Los Reyes, Andres; Rowan, James D.; Lee, Bern; Delise, Justin; Molina, Sabrina; Cogdill, Lindsay

    2013-01-01

    When learning highly organized sequential patterns of information, humans and nonhuman animals learn rules regarding the hierarchical structures of these sequences. In three experiments, we explored the role of working memory in college students' sequential pattern learning and performance in a computerized task involving a sequential…

  17. Learning new gait patterns: Exploratory muscle activity during motor learning is not predicted by motor modules

    Science.gov (United States)

    Ranganathan, Rajiv; Krishnan, Chandramouli; Dhaher, Yasin Y.; Rymer, William Z.

    2018-01-01

    The motor module hypothesis in motor control proposes that the nervous system can simplify the problem of controlling a large number of muscles in human movement by grouping muscles into a smaller number of modules. Here, we tested one prediction of the modular organization hypothesis by examining whether there is preferential exploration along these motor modules during the learning of a new gait pattern. Healthy college-aged participants learned a new gait pattern which required increased hip and knee flexion during the swing phase while walking in a lower-extremity robot (Lokomat). The new gait pattern was displayed as a foot trajectory in the sagittal plane and participants attempted to match their foot trajectory to this template. We recorded EMG from 8 lower-extremity muscles and we extracted motor modules during both baseline walking and target-tracking using non-negative matrix factorization (NMF). Results showed increased trajectory variability in the first block of learning, indicating that participants were engaged in exploratory behavior. Critically, when we examined the muscle activity during this exploratory phase, we found that the composition of motor modules changed significantly within the first few strides of attempting the new gait pattern. The lack of persistence of the motor modules under even short time scales suggests that motor modules extracted during locomotion may be more indicative of correlated muscle activity induced by the task constraints of walking, rather than reflecting a modular control strategy. PMID:26916510

  18. Examining Asymmetrical Relationships of Organizational Learning Antecedents: A Theoretical Model

    Directory of Open Access Journals (Sweden)

    Ery Tri Djatmika

    2016-02-01

    Full Text Available Global era is characterized by highly competitive advantage market demand. Responding to the challenge of rapid environmental changes, organizational learning is becoming a strategic way and solution to empower people themselves within the organization in order to create a novelty as valuable positioning source. For research purposes, determining the influential antecedents that affect organizational learning is vital to understand research-based solutions given for practical implications. Accordingly, identification of variables examined by asymmetrical relationships is critical to establish. Possible antecedent variables come from organizational and personal point of views. It is also possible to include a moderating one. A proposed theoretical model of asymmetrical effects of organizational learning and its antecedents is discussed in this article.

  19. The Study of Relationship between Organizational Learning and Organizational Performance

    Directory of Open Access Journals (Sweden)

    Bisotoon Azizi

    2017-01-01

    Full Text Available The aim of this study was to investigate the relationship between organizational learning and organizational performance among companies operating in the insurance industry of Tehran in Iran. The present study is a descriptive one in terms of the purpose and the method of data collection. The statistical population of the study was all insurance companies in the city of Tehran and 120 insurance companies were selected due to the lack of detailed statistical reference to their number. For this purpose, people were asked some questions who it was authorized to represent the name. The questionnaire is a tool for collecting data. The Gomez questionnaire et al. (2005 was used to measure organizational learning which includes four factors: management commitment, system perspective, openness and experimentation, transfer and integration of knowledge. To measure the organizational performance, the Yang et al. questionnaire (2004 is used. To determine the validity of data collection, the questionnaire was presented to six professors of management at various universities. The validity of questionnaire through the coordination of jury was about %100. The reliability of the questionnaire was conducted on thirty subjects, Cronbach alpha coefficient was calculated 0.91 and 0.85 for organizational learning and organizational performance, respectively. For data analysis, Pearson correlation coefficient and multiple regressions were used. The results showed that there is a positive relationship between organizational learning and its four dimensions (management commitment, vision systems, open space, and experimentation, transfer and integration of knowledge and organizational performance of Tehran insurance companies.

  20. PatterNet: a system to learn compact physical design pattern representations for pattern-based analytics

    Science.gov (United States)

    Lutich, Andrey

    2017-07-01

    This research considers the problem of generating compact vector representations of physical design patterns for analytics purposes in semiconductor patterning domain. PatterNet uses a deep artificial neural network to learn mapping of physical design patterns to a compact Euclidean hyperspace. Distances among mapped patterns in this space correspond to dissimilarities among patterns defined at the time of the network training. Once the mapping network has been trained, PatterNet embeddings can be used as feature vectors with standard machine learning algorithms, and pattern search, comparison, and clustering become trivial problems. PatterNet is inspired by the concepts developed within the framework of generative adversarial networks as well as the FaceNet. Our method facilitates a deep neural network (DNN) to learn directly the compact representation by supplying it with pairs of design patterns and dissimilarity among these patterns defined by a user. In the simplest case, the dissimilarity is represented by an area of the XOR of two patterns. Important to realize that our PatterNet approach is very different to the methods developed for deep learning on image data. In contrast to "conventional" pictures, the patterns in the CAD world are the lists of polygon vertex coordinates. The method solely relies on the promise of deep learning to discover internal structure of the incoming data and learn its hierarchical representations. Artificial intelligence arising from the combination of PatterNet and clustering analysis very precisely follows intuition of patterning/optical proximity correction experts paving the way toward human-like and human-friendly engineering tools.

  1. Transfer of tactile perceptual learning to untrained neighboring fingers reflects natural use relationships.

    Science.gov (United States)

    Dempsey-Jones, Harriet; Harrar, Vanessa; Oliver, Jonathan; Johansen-Berg, Heidi; Spence, Charles; Makin, Tamar R

    2016-03-01

    Tactile learning transfers from trained to untrained fingers in a pattern that reflects overlap between the representations of fingers in the somatosensory system (e.g., neurons with multifinger receptive fields). While physical proximity on the body is known to determine the topography of somatosensory representations, tactile coactivation is also an established organizing principle of somatosensory topography. In this study we investigated whether tactile coactivation, induced by habitual inter-finger cooperative use (use pattern), shapes inter-finger overlap. To this end, we used psychophysics to compare the transfer of tactile learning from the middle finger to its adjacent fingers. This allowed us to compare transfer to two fingers that are both physically and cortically adjacent to the middle finger but have differing use patterns. Specifically, the middle finger is used more frequently with the ring than with the index finger. We predicted this should lead to greater representational overlap between the former than the latter pair. Furthermore, this difference in overlap should be reflected in differential learning transfer from the middle to index vs. ring fingers. Subsequently, we predicted temporary learning-related changes in the middle finger's representation (e.g., cortical magnification) would cause transient interference in perceptual thresholds of the ring, but not the index, finger. Supporting this, longitudinal analysis revealed a divergence where learning transfer was fast to the index finger but relatively delayed to the ring finger. Our results support the theory that tactile coactivation patterns between digits affect their topographic relationships. Our findings emphasize how action shapes perception and somatosensory organization. Copyright © 2016 the American Physiological Society.

  2. Couple Relationship Status and Patterns in Early Parenting Practices

    Science.gov (United States)

    Guzzo, Karen Benjamin; Lee, Helen

    2008-01-01

    Using data from the Fragile Families and Child Wellbeing Study (N = 3,003), we examine the role of parental relationship status at birth on maternal adherence to current recommendations regarding breastfeeding, corporal punishment, and well-child visits. At the bivariate level, parents' union status is almost linearly related to adherence to…

  3. Relationship between pharmacodynamic indices and killing patterns in vitro

    NARCIS (Netherlands)

    Mouton, J.W.

    2011-01-01

    Antimicrobial agents are conventionally categorized in three classes based on their pharmacokinetic/pharmacodynamic properties, based on their exposure response relationship in vivo with either area under the concentration-time curve, C(max) or T>MIC. Alternatively, they are often categorized as

  4. Patterns in Elementary School Students' Strategic Actions in Varying Learning Situations

    Science.gov (United States)

    Malmberg, Jonna; Järvenoja, Hanna; Järvelä, Sanna

    2013-01-01

    This study uses log file traces to examine differences between high-and low-achieving students' strategic actions in varying learning situations. In addition, this study illustrates, in detail, what strategic and self-regulated learning constitutes in practice. The study investigates the learning patterns that emerge in learning situations…

  5. General asymmetric neutral networks and structure design by genetic algorithms: A learning rule for temporal patterns

    Energy Technology Data Exchange (ETDEWEB)

    Bornholdt, S. [Heidelberg Univ., (Germany). Inst., fuer Theoretische Physik; Graudenz, D. [Lawrence Berkeley Lab., CA (United States)

    1993-07-01

    A learning algorithm based on genetic algorithms for asymmetric neural networks with an arbitrary structure is presented. It is suited for the learning of temporal patterns and leads to stable neural networks with feedback.

  6. Effects of mobile gaming patterns on learning outcomes: a literature review

    NARCIS (Netherlands)

    Schmitz, Birgit; Klemke, Roland; Specht, Marcus

    2013-01-01

    Schmitz, B., Klemke, R., & Specht, M. (2012). Effects of mobile gaming patterns on learning outcomes: A literature review. International Journal of Technology Enhanced Learning, 4(5-6), 345-358. doi:10.1504/IJTEL.2012.051817

  7. General asymmetric neutral networks and structure design by genetic algorithms: A learning rule for temporal patterns

    International Nuclear Information System (INIS)

    Bornholdt, S.

    1993-07-01

    A learning algorithm based on genetic algorithms for asymmetric neural networks with an arbitrary structure is presented. It is suited for the learning of temporal patterns and leads to stable neural networks with feedback

  8. A Comparative Study on the Relationship Between Learning Motivations and Outcomes of College Students in Taiwan and Shenzhen Region of Mainland China: Learning Modes as Mediators

    Directory of Open Access Journals (Sweden)

    Sophia Shi-Huei Ho

    2016-06-01

    Full Text Available Previous studies in the relationship of learning motivation and outcome were mostly conducted on research samples in Asia from the perspective of oriental culture; however, under the same cultural background, different social systems might lead to different teaching and learning outcomes. Therefore, this study examines the learning motivation patterns of Taiwan and Mainland China college students from the perspectives on psychological motivation, and investigates the relationship between learning modes and learning outcomes. Adopting judgmental sampling, a total of 651 valid questionnaires were collected from cross-strait business college sophomore, junior, and senior students. The measurement scales were developed by Li et al. (2007, Nasir et al. (2009, Philip et al. (2008, Pike et al. (2011, White et al. (2008, and all measures were 5-point Likert-type scales. The path relationship of the two groups was examined through structural equation modeling (SEM using AMOS. The results showed that exploitative learning was perceived as more effective by the college students in Taiwan as compared to those in Mainland China. In terms of academic identity, the contrary is the case. However, in path analysis, Taiwanese students were superior to Chinese students in regard to the positive influence of role identity on exploitative and explorative learning and the positive influence of exploitative learning on cognitive and non-cognitive gains.

  9. Relationship between running speed and initial foot contact patterns.

    Science.gov (United States)

    Breine, Bastiaan; Malcolm, Philippe; Frederick, Edward C; De Clercq, Dirk

    2014-08-01

    This study assessed initial foot contact patterns (IFCP) in a large group of distance runners and the effect of speed on the IFCP. We determined the strike index to classify the runners in IFCP groups, at four speeds (3.2, 4.1, 5.1, and 6.2 m·s), by measuring center of pressure (COP) with a 2-m plantar pressure plate. Such a system allows a direct localization of the COP on the plantar footprint and has a low threshold value (2.7 N·cm), resulting in more accurate COP data at low ground reaction forces than when obtained from force plate. The IFCP distribution evolves from mostly initial rearfoot contact (IRFC) (82%) at 3.2 m·s to more anterior foot contacts with an approximately equal distribution of IRFC (46%) and initial midfoot or forefoot contact (54%) at 6.2 m·s. Approximately 44% of the IRFC runners showed atypical COP patterns with a fast anterior displacement of the COP along the lateral shoe margin. Apart from the different COP patterns, these atypical IRFC were also characterized by a significantly higher instantaneous vertical loading rate than the typical IRFC patterns. The IFCP distribution changes were due to intraindividual alterations in IFCP at higher speeds. That is, 45% of the runners made one or even two "transitions" toward a more anterior IFCP (and 3% shows some other type of transition between initial foot contact styles as speed increases). However, 52% of the runners remained with the same IFCP.

  10. Investigation of the Relationship between Learning Process and Learning Outcomes in E-Learning Environments

    Science.gov (United States)

    Yurdugül, Halil; Menzi Çetin, Nihal

    2015-01-01

    Problem Statement: Learners can access and participate in online learning environments regardless of time and geographical barriers. This brings up the umbrella concept of learner autonomy that contains self-directed learning, self-regulated learning and the studying process. Motivation and learning strategies are also part of this umbrella…

  11. Feedback Design Patterns for Math Online Learning Systems

    Science.gov (United States)

    Inventado, Paul Salvador; Scupelli, Peter; Heffernan, Cristina; Heffernan, Neil

    2017-01-01

    Increasingly, computer-based learning systems are used by educators to facilitate learning. Evaluations of several math learning systems show that they result in significant student learning improvements. Feedback provision is one of the key features in math learning systems that contribute to its success. We have recently been uncovering feedback…

  12. The Relationships among Group Size, Participation, and Performance of Programming Language Learning Supported with Online Forums

    Science.gov (United States)

    Shaw, Ruey-Shiang

    2013-01-01

    This study examined the relationships among group size, participation, and learning performance factors when learning a programming language in a computer-supported collaborative learning (CSCL) context. An online forum was used as the CSCL environment for learning the Microsoft ASP.NET programming language. The collaborative-learning experiment…

  13. The Changes of Interaction Patterns between Males and Famales in Love Relationships

    OpenAIRE

    川名 , 好裕

    2014-01-01

    Internet survey was conducted to study the changes of interaction patterns betweenmen and women in love relationships. Survey participants are 968 males and 967 females of all over Japan. Their ages are between 20~49. Samples were divided into 6 different love relationship phases: friend, unrequited, platonic, love-sexual, affianced and married. The degrees of contents of love relation interactions; communication, co-activities, body contacts were investigated. These interaction patterns were...

  14. Learning Assessment in physical education: the relationship between assessment practices of teachers and learning approaches

    Directory of Open Access Journals (Sweden)

    Marco Vinicio Gutiérrez

    2015-02-01

    Full Text Available This article shows the result of an investigation that studied teachers’ assessment practices in Physical Education in public schools from Suba in Bogota and the relationship between these practices with both superfluous and superficial learning approaches. It is organized into two sections; the first presents a classification of the evaluation practices, and the second establishes the relationship between these practices with the superficial and profound learning approaches. This article nourishes itself from a mixed-method research approach wherein the sample consisted of 68 teachers from whom data was collected using a survey. This data was then analyzed using the statistical software R. The results show the object, the purpose, procedures and ways in which teachers develop their assessment practice in physical education, and as well show a trend towards promoting meaningful and profound learning.

  15. THE INVESTIGATION OF THE RELATIONSHIP BETWEEN FINGERPRINT PATTERNS AND CRIME TYPES

    OpenAIRE

    DELİCE, Murat; DUMAN, Ali; ÖZEL, Şaban Ali

    2014-01-01

    The exclusivity of prints at the tip of each individuals fingers is known for thousands of years and these prints are used for security purposes for a long time. Recent developments have pointed out that fingerprint patterns are related to gender, heredity, diseases, blood types and even character. However, the relationship between fingerprint patterns and crime types has not been explored. In order to meet this need, this research study examines the fingerprint patterns of suspects who are i...

  16. Morphological patterns of fish and their relationships with reservoirs hydrodynamics

    Directory of Open Access Journals (Sweden)

    Almir Manoel Cunico

    2006-01-01

    Full Text Available The aim of this study was to determine morphological patterns of the most abundant fish species found in reservoirs with different hydraulic retention times and stages of colonization, considering habitat strata and feeding strategies. Samplings were carried out in six Paraná State (Brazil reservoirs, and morphological data were obtained from 15 individuals of 17 fish species. Ecomorphological attributes that best segregated species, were selected using Discriminant Analysis. These selected attributes were later used in a Principal Components Analysis (PCA. Differences among reservoirs concerning occupation of the ecomorphological space were tested through analysis of variance (null models. The six reservoirs differed in the occupation of the fish species ecomorphological space and the first two PCA axes explained 66,3% of the total data variability. Thus alterations in water dynamics could a major factor affecting patterns of fish distribution in reservoirs.Neste estudo, são analisados as restrições na ocupação de peixes em reservatórios com diferentes tempos de retenção da água e estágios de colonização de acordo com características morfológicas das espécies. Busca-se padrões morfológicos mais adaptados na ocupação dos reservatórios considerando diferentes habitats e estratégias alimentares. Os dados morfológicos foram obtidos em 10 indivíduos das espécies mais abundantes em seis reservatórios do estado do Paraná. Os atributos ecomorfológicos que melhor segregaram as espécies foram determinados através de uma Análise Discriminante, sendo estes posteriormente utilizados em uma Análise de Componentes Principais (PCA. Diferenças entre os reservatórios na ocupação do espaço ecomorfológico foram testados através de Análise de Variância (modelo nulo. Os seis reservatórios diferiram na ocupação do espaço ecomorfológico com os dois primeiros eixos da PCA explicando 66,3% variabilidade total dos dados

  17. Observational fear learning in degus is correlated with temporal vocalization patterns.

    Science.gov (United States)

    Lidhar, Navdeep K; Insel, Nathan; Dong, June Yue; Takehara-Nishiuchi, Kaori

    2017-08-14

    Some animals learn to fear a situation after observing another individual come to harm, and this learning is influenced by the animals' social relationship and history. An important but sometimes overlooked factor in studies of observational fear learning is that social context not only affects observers, but may also influence the behavior and communications expressed by those being observed. Here we sought to investigate whether observational fear learning in the degu (Octodon degus) is affected by social familiarity, and the degree to which vocal expressions of alarm or distress contribute. 'Demonstrator' degus underwent contextual fear conditioning in the presence of a cagemate or stranger observer. Among the 15 male pairs, observers of familiar demonstrators exhibited higher freezing rates than observers of strangers when returned to the conditioning environment one day later. Observer freezing during testing was, however, also related to the proportion of short- versus long- inter-call-intervals (ICIs) in vocalizations recorded during prior conditioning. In a regression model that included both social relationship and ICI patterns, only the latter was significant. Further investigation of vocalizations, including use of a novel, directed k-means clustering approach, suggested that temporal structure rather than tonal variations may have been responsible for communicating danger. These data offer insight into how different expressions of distress or fear may impact an observer, adding to the complexity of social context effects in studies of empathy and social cognition. The experiments also offer new data on degu alarm calls and a potentially novel methodological approach to complex vocalizations. Copyright © 2017 Elsevier B.V. All rights reserved.

  18. Phylogenetic relationships and evolutionary patterns of the order Collodaria (Radiolaria.

    Directory of Open Access Journals (Sweden)

    Yoshiyuki Ishitani

    Full Text Available Collodaria are the only group of Radiolaria that has a colonial lifestyle. This group is potentially the most important plankton in the oligotrophic ocean because of its large biomass and the high primary productivity associated with the numerous symbionts inside a cell or colony. The evolution of Collodaria could thus be related to the changes in paleo-productivity that have affected organic carbon fixation in the oligotrophic ocean. However, the fossil record of Collodaria is insufficient to trace their abundance through geological time, because most collodarians do not have silicified shells. Recently, molecular phylogeny based on nuclear small sub-unit ribosomal DNA (SSU rDNA confirmed Collodaria to be one of five orders of Radiolaria, though the relationship among collodarians is still unresolved because of inadequate taxonomic sampling. Our phylogenetic analysis has revealed four novel collodarian sequences, on the basis of which collodarians can be divided into four clades that correspond to taxonomic grouping at the family level: Thalassicollidae, Collozoidae, Collosphaeridae, and Collophidae. Comparison of the results of our phylogenetic analyses with the morphological characteristics of each collodarian family suggests that the first ancestral collodarians had a solitary lifestyle and left no silica deposits. The timing of events estimated from molecular divergence calculations indicates that naked collodarian lineages first appeared around 45.6 million years (Ma ago, coincident with the diversification of diatoms in the pelagic oceans. Colonial collodarians appeared after the formation of the present ocean circulation system and the development of oligotrophic conditions in the equatorial Pacific (ca. 33.4 Ma ago. The divergence of colonial collodarians probably caused a shift in the efficiency of primary production during this period.

  19. Phylogenetic Relationships and Evolutionary Patterns of the Order Collodaria (Radiolaria)

    Science.gov (United States)

    Ishitani, Yoshiyuki; Ujiié, Yurika; de Vargas, Colomban; Not, Fabrice; Takahashi, Kozo

    2012-01-01

    Collodaria are the only group of Radiolaria that has a colonial lifestyle. This group is potentially the most important plankton in the oligotrophic ocean because of its large biomass and the high primary productivity associated with the numerous symbionts inside a cell or colony. The evolution of Collodaria could thus be related to the changes in paleo-productivity that have affected organic carbon fixation in the oligotrophic ocean. However, the fossil record of Collodaria is insufficient to trace their abundance through geological time, because most collodarians do not have silicified shells. Recently, molecular phylogeny based on nuclear small sub-unit ribosomal DNA (SSU rDNA) confirmed Collodaria to be one of five orders of Radiolaria, though the relationship among collodarians is still unresolved because of inadequate taxonomic sampling. Our phylogenetic analysis has revealed four novel collodarian sequences, on the basis of which collodarians can be divided into four clades that correspond to taxonomic grouping at the family level: Thalassicollidae, Collozoidae, Collosphaeridae, and Collophidae. Comparison of the results of our phylogenetic analyses with the morphological characteristics of each collodarian family suggests that the first ancestral collodarians had a solitary lifestyle and left no silica deposits. The timing of events estimated from molecular divergence calculations indicates that naked collodarian lineages first appeared around 45.6 million years (Ma) ago, coincident with the diversification of diatoms in the pelagic oceans. Colonial collodarians appeared after the formation of the present ocean circulation system and the development of oligotrophic conditions in the equatorial Pacific (ca. 33.4 Ma ago). The divergence of colonial collodarians probably caused a shift in the efficiency of primary production during this period. PMID:22567112

  20. The Relationship between Kolb's Learning Styles and StrengthsFinder's Talent Themes

    Science.gov (United States)

    Caldwell, Adonna B.

    2009-01-01

    The purpose of this study was to investigate if there were relationships between college students' talent themes as defined by the Clifton StrengthsFinder(TM) Instrument and their learning style as defined by Kolb Learning Styles Inventory. Logistical regression methodology was utilized to assess the relationship between learning styles and talent…

  1. Structural Relationships among Self-Regulated Learning, Learning Flow, Satisfaction, and Learning Persistence in Cyber Universities

    Science.gov (United States)

    Joo, Young Ju; Joung, Sunyoung; Kim, Jiyeon

    2014-01-01

    Learning persistence in a cyber-learning environment is not only an index determining the success or failure of individual learners but also a source of important information to establish the management direction of educational programs in an organization. Accordingly, learners need to be motivated to continue to grow in order to ensure both…

  2. The relationship between learning styles and motivation to transfer of learning in a vocational training programme

    Directory of Open Access Journals (Sweden)

    Pablo Olivos

    2016-01-01

    Full Text Available Although there is ample research about Kolb's learning styles, few studies have examined their relationship with motivations to transfer, a concept used to assess whether the content and competencies learned through professional training activities are transferred to the workplace context. Ninety-six students (M = 24.58 years old; 99% males from three vocational training institutes participated in laboratory activities at the Renewable Energy Research Institute of the University of Castilla-La Mancha, Spain. They completed a self-administered questionnaire that included the Kolb's Learning Styles Inventory; two scales adapted to measure student motivation to transfer their learning from training experiences; and a scale of satisfaction with the activities. A correlation analysis showed positive and moderately strong correlations (r = .708; p < .01 between motivations to transfer and “the relevance of the activities to academic performance”. A discriminant analysis between transfer and learning styles revealed that the “Student training motivation” item resulted in a distinct difference between assimilators and convergers, explaining 97.1% of the model variance (Wilks’ λ = .459; χ2 = 21.028; Sig. = .002 and classifying 56.4% of the cases. A discussion is presented as to the implications of these results for the theory of learning styles and the ways in which the design of the educational activities described in the study can be improved.

  3. COLLAGE: A Collaborative Learning Design Editor Based on Patterns

    Science.gov (United States)

    Hernandez-Leo, Davinia; Villasclaras-Fernandez, Eloy D.; Asensio-Perez, Juan I.; Dimitriadis, Yannis; Jorrin-Abellan, Ivan M.; Ruiz-Requies, Ines; Rubia-Avi, Bartolome

    2006-01-01

    This paper introduces "Collage", a high-level IMS-LD compliant authoring tool that is specialized for CSCL (Computer-Supported Collaborative Learning). Nowadays CSCL is a key trend in e-learning since it highlights the importance of social interactions as an essential element of learning. CSCL is an interdisciplinary domain, which…

  4. Patterns of Learning Object Reuse in the Connexions Repository

    Science.gov (United States)

    Duncan, S. M.

    2009-01-01

    Since the term "learning object" was first published, there has been either an explicit or implicit expectation of reuse. There has also been a lot of speculation about why learning objects are, or are not, reused. This study quantitatively examined the actual amount and type of learning object use, to include reuse, modification, and translation,…

  5. Relationships between Learning Approach, Procrastination and Academic Achievement amongst First-Year University Students

    Science.gov (United States)

    Saele, Rannveig Grøm; Dahl, Tove Irene; Sørlie, Tore; Friborg, Oddgeir

    2017-01-01

    Individual differences in student learning influence academic performance, and two aspects influencing the learning process are the particular learning approach the students use and procrastination behaviour. We examined the relationships between learning approaches, procrastination and academic achievement (measured 1 year later as the grade…

  6. The Relationship between The Level of Intelligence, Achievement Motivation, Mathematics Learning Habits and Learning Achievement

    Directory of Open Access Journals (Sweden)

    Farkhatu Sikhah

    2017-03-01

    Full Text Available Tujuan penelitian ini adalah (1 Untuk mengetahui hubungan antara tingkat kecerdasan dengan prestasi belajar matematika (2 Untuk mengetahui hubungan antara motivasi berprestasi dengan prestasi belajar matematika (3 Untuk mengetahui hubungan antara kebiasaan belajar dengan prestasi belajar matematika (4 Untuk mengetahui hubungan antara tingkat kecerdasan, motivasi berprestasi, dan kebiasaan belajar matematika dengan prestasi belajar matematika siswa semester 1 kelas XI IPA SMAN 1 Bojong. Jumlah sampel dalam penelitian ini sebanyak 40 orang siswa. Penelitian ini merupakan penelitian deskriptif korelatif sehingga data dianalisa untuk mendeskripsikan hubungan antara tingkat kecerdasan, motivasi berprestasi, dan kebiasaan belajar matematika dengan prestasi belajar matematika siswa. Instrumen pengambilan data menggunakan dokumentasi dan angket, dan dianalisa menggunakan regresi dan korelasi linier sederhana, serta regresi dan korelasi linier berganda. Hasil penelitian menunjukkan bahwa terdapat hubungan yang signifikan antara : (1 tingkat kecerdasan dengan prestasi belajar matematika siswa, (2 motivasi berprestasi dengan prestasi belajar matematika siswa, (3 kebiasaan belajar dengan prestasi belajar matematika siswa (4 tingkat kecerdasan, motivasi berprestasi dan kebiasaan belajar matematika dengan prestasi belajar matematika siswa.   The purpose of this study is (1 To determine the relationship between the level of intelligence and academic achievement of mathematics (2 To determine the relationship between achievement motivation and learning achievement in mathematics (3 To determine the relationship between study habits and academic achievement of mathematics (4 To determine the relationship between level of intelligence, achievement motivation and study habits mathematics learning achievement of student mathematics 1st semester of grade XI IPA SMAN 1 Bojong. The number of samples in this study were 40 students.This research was descriptive

  7. Investigating Relationship between Discourse Behavioral Patterns and Academic Achievements of Students in SPOC Discussion Forum

    Science.gov (United States)

    Liu, Zhi; Zhang, Wenjing; Cheng, Hercy N. H.; Sun, Jianwen; Liu, Sannyuya

    2018-01-01

    As an overt expression of internal mental processes, discourses have become one main data source for the research of interactive learning. To deeply explore behavioral regularities among interactions, this article firstly adopts the content analysis method to summarize students' engagement patterns within a course forum in a small private online…

  8. Communication patterns and satisfaction levels in three-dimensional versus real-life intimate relationships.

    Science.gov (United States)

    Gilbert, Richard L; Murphy, Nora A; Ávalos, M Clementina

    2011-10-01

    The present study compared communication patterns and satisfaction levels between three-dimensional (3D) and real-life intimate relationships using a sample of 71 participants who were concurrently involved in an intimate relationship within Second Life and a separate real-life romantic relationship. Participants indicated that the quality of their communication was significantly better in their Second-Life relationship and that they experienced higher levels of satisfaction with their virtual partners. The more positive or idealized view of the 3D relationships may have been due to higher levels of focused interaction and reduced stressors in the virtual world and the greater length, and associated problems, in participant's real-life relationships. In addition, the presence of a concurrent relationship within Second Life could have negatively affected participant's judgments of their real-life relationships. These data offer the first detailed assessment of communication patterns and satisfaction levels in intimate relationships across the real and 3D virtual realms as the number of users and romantic partners in immersive virtual environments continue to grow.

  9. Exploring Relationships: Teacher Characteristics and Student Learning in Physical Science

    Science.gov (United States)

    Close, Eleanor; Vokos, S.; Seeley, L.

    2006-12-01

    The Department of Physics and the School of Education at Seattle Pacific University, together with FACET Innovations, LLC, are beginning the second year of a five-year NSF TPC grant, Improving the Effectiveness of Teacher Diagnostic Skills and Tools. We are working in partnership with school districts in Washington State to identify and characterize widespread productive and unproductive modes of reasoning employed by both pre-college students and teachers on foundational topics in physical science. In the first year of the grant, base-line preand post-test data were collected from a large number (N 2300) of middle and high school students. We will discuss relationships between preand post-test results, student learning gains, and student and teacher characteristics. * Supported in part by NSF grant #ESI-0455796, The Boeing Corporation, and the SPU Science Initiative.

  10. Who’s the Boss? Patterns of Control in Adolescents’ Sibling Relationships

    Science.gov (United States)

    Tucker, Corinna Jenkins; Updegraff, Kimberly A.; Baril, Megan E.

    2011-01-01

    The goals of this study were to examine longitudinal changes in perceived control in adolescents’ sibling relationships and to describe the nature and correlates of three distinct control patterns: Firstborn dominant, equal, and secondborn dominant. Firstborn and secondborn adolescents in 184 predominately European-American families participated in home interviews and a series of phone interviews as part of a longitudinal a study of family relationships and adolescent development. Findings revealed changes in control over three years as well as sibling differences. In addition, different patterns of control were linked to qualities of the sibling relationship and to adolescent adjustment. The different roles that firstborn and secondborn siblings assume, and why these roles are linked to relationship experiences and adjustment, are discussed. PMID:21857761

  11. Romantic Relationship Patterns from Adolescence to Emerging Adulthood: Associations with Family and Peer Experiences in Early Adolescence.

    Science.gov (United States)

    Boisvert, Stéphanie; Poulin, François

    2016-05-01

    The present study identifies and describes romantic relationship patterns from adolescence to adulthood and examines their associations with family and peer experiences in early adolescence. In a 13-year longitudinal study, 281 youth (58 % girls) identified all their romantic partners each year from the ages of 16-24. Dimensions of family relationships (family cohesion, parent-child conflict) and peer relationships (peer likeability, social withdrawal, close friendships, other-sex friendships) were assessed at age 12. Latent class analyses brought out five distinct romantic relationship patterns and significant associations were found with family and peer relationships in early adolescence. These five romantic relationship patterns appeared to follow a continuum of romantic involvement, with romantic relationship patterns situated a both ends of this continuum (later involvement pattern and intense involvement pattern) being associated with more interpersonal experiences in early adolescence.

  12. Statistical Methods for Detecting and Modeling General Patterns and Relationships in Lifetime Data

    Energy Technology Data Exchange (ETDEWEB)

    Kvaloey, Jan Terje

    1999-04-01

    In this thesis, the author tries to develop methods of detecting and modeling general patterns and relationships in lifetime data. Tests with power against nonmonotonic trends and nonmonotonic co variate effects are considered, and nonparametric regression methods which allow estimation of fairly general nonlinear relationships are studied. Practical uses of some of the methods are illustrated although in a medical rather than engineering or technological context.

  13. The relationship between learning preferences (styles and approaches) and learning outcomes among pre-clinical undergraduate medical students

    OpenAIRE

    Liew, Siaw-Cheok; Sidhu, Jagmohni; Barua, Ankur

    2015-01-01

    Background Learning styles and approaches of individual undergraduate medical students vary considerably and as a consequence, their learning needs also differ from one student to another. This study was conducted to identify different learning styles and approaches of pre-clinical, undergraduate medical students and also to determine the relationships of learning preferences with performances in the summative examinations. Methods A cross-sectional study was conducted among randomly selected...

  14. Relationship between motivational goal orientations, perceptions of general education classroom learning environment, and deep approaches to learning

    OpenAIRE

    Chanut Poondej; Thanita Lerdpornkulrat

    2016-01-01

    Researchers have reported empirical evidence that the deep approaches to learning account for significant successful learning. The present study aimed to investigate the relationship between students' motivational goal orientation, their perceptions of the general education classroom learning environment, and deep approaches to learning strategies. Participants (N = 494) were first- and second-year college students enrolled in any of the general education courses in higher education in Thaila...

  15. Living with diabetes—Development of learning patterns over a 3-year period

    Directory of Open Access Journals (Sweden)

    Åsa Kneck

    2014-07-01

    Full Text Available Background: Learning involves acquiring new knowledge and skills, and changing our ways of thinking, acting, and feeling. Learning in relation to living with diabetes is a lifelong process where there is limited knowledge of how it is experienced and established over time. It was considered important to explore how learning was developed over time for persons living with diabetes. Aim: The aim of the study was to identify patterns in learning when living with diabetes, from recently being diagnosed, and over a 3-year period. Materials and methods: A longitudinal qualitative descriptive design was used. Thirteen participants, with both type I and type II diabetes, were interviewed at three different occasions during a 3-year period. Qualitative content analysis was used in different steps in order to distinguish patterns. Findings: Five main patterns of learning were identified. Two of the patterns (I and II were characterized by gradually becoming comfortable living with diabetes, whereas for one pattern (IV living with diabetes became gradually more difficult. For pattern V living with diabetes was making only a limited impact on life, whereas for Pattern III there was a constant management of obstacles related to illness. The different patterns in the present study showed common and different ways of learning and using different learning strategies at different timespans. Conclusion: The present study showed that duration of illness is not of importance for how far a person has come in his own learning process. A person-centered care is needed to meet the different and changing needs of persons living with diabetes in relation to learning to live with a lifelong illness.

  16. Patterns of Motivational Beliefs in the Science Learning of Total, High-, and Low-Achieving Students: Evidence of Taiwanese TIMSS 2011 Data

    Science.gov (United States)

    Wang, Cheng-Lung; Liou, Pey-Yan

    2018-01-01

    The purpose of this study was to examine the pattern of the relationships among motivational beliefs and science achievement of 8th grade Taiwanese students, given that the students in Taiwan have high science academic achievement but low motivational beliefs in science learning on a series of international large-scale assessments. Three…

  17. THE DYNAMICAL RELATIONSHIP BETWEEN THE BAR AND SPIRAL PATTERNS OF NGC 1365

    International Nuclear Information System (INIS)

    Speights, Jason C.; Rooke, Paul C.

    2016-01-01

    Theories that attempt to explain the dynamical relationship between bar and spiral patterns in galactic disks make different predictions about the radial profile of the pattern speed. These are tested for the H-alpha bar and spiral patterns of NGC 1365. The radial profile of the pattern speed is measured by fitting mathematical models that are based on the Tremaine–Weinberg method. The results show convincing evidence for the bar rotating at a faster rate than the spiral pattern, inconsistent with a global wave mode or a manifold. There is evidence for mode coupling of the bar and spiral patterns at the overlap of corotation and inner Lindblad resonances (ILRs), but the evidence is unreliable and inconsistent. The results are the most consistent with the bar and spiral patterns being dynamically distinct features. The pattern speed of the bar begins near an ILR and ends near the corotation resonance (CR). The radial profile of the pattern speed beyond the bar most closely resembles what is expected for coupled spiral modes and tidal interactions.

  18. Sibling relationship patterns and their associations with child competence and problem behavior.

    Science.gov (United States)

    Buist, Kirsten L; Vermande, Marjolijn

    2014-08-01

    The present study is the first to examine patterns in sibling relationship quality and the associations of these patterns with internalizing and externalizing problem behavior, as well as self-perceived competence, in middle childhood. Self-report questionnaires (e.g., Sibling Relationship Questionnaire, Self-Perception Profile for Children, Youth Self Report) were administered among 1,670 Dutch children (Mage = 11.40 years, SD = .83) attending 51 different Dutch schools. Three sibling relationship clusters were found: a conflictual cluster (low on warmth, high on conflict), an affect-intense cluster (above average on warmth and conflict), and a harmonious cluster (high on warmth, low on conflict). Sister pairs were underrepresented in the conflictual cluster and overrepresented in the harmonious cluster. Children with conflictual sibling relationships reported significantly more internalizing and externalizing problems, and lower academic and social competence and global self-worth, than children with harmonious sibling relationships. Children with affect-intense sibling relationships reported less aggression and better social competence than children with conflictual sibling relationships. Our findings indicate that it is fruitful to combine indices of sibling warmth and conflict to examine sibling relationship types. Relationship types differed significantly concerning internalizing and externalizing problems, but also concerning self-perceived competence. These findings extend our knowledge about sibling relationship types and their impact on different aspects of child adjustment. Whereas harmonious sibling relationships are the most beneficial for adjustment, sibling conflict mainly has a negative effect on adjustment in combination with lack of sibling warmth. Implications and future directions are discussed.

  19. Towards a Pattern Language for Learning Management Systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Papasalouros, Andreas; Retalis, Symeon; Skordalakis, Manolis

    2003-01-01

    Learning Management Systems are sophisticated web-based applications that are being engineered today in increasing numbers by numerous institutions and companies that want to get involved in e-learning either for providing services to third parties, or for educating and training their own people.

  20. Patterns of interactive learning in a high tech region

    NARCIS (Netherlands)

    Meeus, M.T.H.; Oerlemans, L.A.G.; Hage, J.

    2001-01-01

    This paper aims at developing a theoretical framework that explains levels of interactive learning. Interactive learning is defined as the exchange and sharing of knowledge resources conducive to innovation between an innovator firm, its suppliers, and/or its customers. Our research question is: Why

  1. Investigating the Relationship between Learning Styles and ESP Reading Strategies in Academic Setting

    OpenAIRE

    Parviz Ajideh; Mohammad Zohrabi; Kazem Pouralvar

    2018-01-01

    The present study investigated the relationship between Art and Science students’ learning styles and their ESP reading strategies in academic settings. Learning styles are defined as general orientations learners take toward their learning experiences. This notion has recently obtained attention in the area of language learning. Strategies are also defined as specific behaviours or techniques learners employ towards leaning in order to achieve their learning goals. The strategies chosen are ...

  2. Different protein-protein interface patterns predicted by different machine learning methods.

    Science.gov (United States)

    Wang, Wei; Yang, Yongxiao; Yin, Jianxin; Gong, Xinqi

    2017-11-22

    Different types of protein-protein interactions make different protein-protein interface patterns. Different machine learning methods are suitable to deal with different types of data. Then, is it the same situation that different interface patterns are preferred for prediction by different machine learning methods? Here, four different machine learning methods were employed to predict protein-protein interface residue pairs on different interface patterns. The performances of the methods for different types of proteins are different, which suggest that different machine learning methods tend to predict different protein-protein interface patterns. We made use of ANOVA and variable selection to prove our result. Our proposed methods taking advantages of different single methods also got a good prediction result compared to single methods. In addition to the prediction of protein-protein interactions, this idea can be extended to other research areas such as protein structure prediction and design.

  3. Cellular-automata-based learning network for pattern recognition

    Science.gov (United States)

    Tzionas, Panagiotis G.; Tsalides, Phillippos G.; Thanailakis, Adonios

    1991-11-01

    Most classification techniques either adopt an approach based directly on the statistical characteristics of the pattern classes involved, or they transform the patterns in a feature space and try to separate the point clusters in this space. An alternative approach based on memory networks has been presented, its novelty being that it can be implemented in parallel and it utilizes direct features of the patterns rather than statistical characteristics. This study presents a new approach for pattern classification using pseudo 2-D binary cellular automata (CA). This approach resembles the memory network classifier in the sense that it is based on an adaptive knowledge based formed during a training phase, and also in the fact that both methods utilize pattern features that are directly available. The main advantage of this approach is that the sensitivity of the pattern classifier can be controlled. The proposed pattern classifier has been designed using 1.5 micrometers design rules for an N-well CMOS process. Layout has been achieved using SOLO 1400. Binary pseudo 2-D hybrid additive CA (HACA) is described in the second section of this paper. The third section describes the operation of the pattern classifier and the fourth section presents some possible applications. The VLSI implementation of the pattern classifier is presented in the fifth section and, finally, the sixth section draws conclusions from the results obtained.

  4. Mexican-Origin Mothers' and Fathers' Involvement in Adolescents' Peer Relationships: A Pattern-Analytic Approach

    Science.gov (United States)

    Updegraff, Kimberly A.; Perez-Brena, Norma J.; Baril, Megan E.; McHale, Susan M.; Umana-Taylor, Adriana J.

    2012-01-01

    Using latent profile analysis, the authors examined patterns of mother-father involvement in adolescents' peer relationships along three dimensions--support, guidance, and restrictions--in 240 Mexican-origin families. Three profiles were identified: (a) High Mother Involvement (mothers higher than fathers on all three dimensions), (b) High…

  5. Multiple Intelligences Patterns of Students at King Saud University and Its Relationship with Mathematics' Achievement

    Science.gov (United States)

    Kandeel, Refat A. A.

    2016-01-01

    The purpose of this study was to determine the multiple intelligences patterns of students at King Saud University and its relationship with academic achievement for the courses of Mathematics. The study sample consisted of 917 students were selected a stratified random manner, the descriptive analysis method and Pearson correlation were used, the…

  6. Nutritional pattern and its relationship with lipids level in a sample of ...

    African Journals Online (AJOL)

    Aim: To assess the nutritional pattern of Cameroonian diabetics and its relationship to lipid profile. Methodology: The nutritional status and nutrient intake of type 2 diabetes patients in Cameroon was determined using seven days food diaries. Results: The median daily energy intake of these patients was found to be ...

  7. Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China.

    Science.gov (United States)

    Yang, Qiquan; Huang, Xin; Li, Jiayi

    2017-08-24

    The urban heat island (UHI) effect exerts a great influence on the Earth's environment and human health and has been the subject of considerable attention. Landscape patterns are among the most important factors relevant to surface UHIs (SUHIs); however, the relationship between SUHIs and landscape patterns is poorly understood over large areas. In this study, the surface UHI intensity (SUHII) is defined as the temperature difference between urban and suburban areas, and the landscape patterns are quantified by the urban-suburban differences in several typical landscape metrics (ΔLMs). Temperature and land-cover classification datasets based on satellite observations were applied to analyze the relationship between SUHII and ΔLMs in 332 cities/city agglomerations distributed in different climatic zones of China. The results indicate that SUHII and its correlations with ΔLMs are profoundly influenced by seasonal, diurnal, and climatic factors. The impacts of different land-cover types on SUHIs are different, and the landscape patterns of the built-up and vegetation (including forest, grassland, and cultivated land) classes have the most significant effects on SUHIs. The results of this study will help us to gain a deeper understanding of the relationship between the SUHI effect and landscape patterns.

  8. Generalised power graph compression reveals dominant relationship patterns in complex networks.

    Science.gov (United States)

    Ahnert, Sebastian E

    2014-03-25

    We introduce a framework for the discovery of dominant relationship patterns in complex networks, by compressing the networks into power graphs with overlapping power nodes. When paired with enrichment analysis of node classification terms, the most compressible sets of edges provide a highly informative sketch of the dominant relationship patterns that define the network. In addition, this procedure also gives rise to a novel, link-based definition of overlapping node communities in which nodes are defined by their relationships with sets of other nodes, rather than through connections within the community. We show that this completely general approach can be applied to undirected, directed, and bipartite networks, yielding valuable insights into the large-scale structure of real-world networks, including social networks and food webs. Our approach therefore provides a novel way in which network architecture can be studied, defined and classified.

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

    Science.gov (United States)

    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.

  10. Relationship between thermal stratification and flow patterns in steam-quenching suppression pool

    International Nuclear Information System (INIS)

    Song, Daehun; Erkan, Nejdet; Jo, Byeongnam; Okamoto, Koji

    2015-01-01

    Highlights: • Thermal stratification mechanism by direct contact condensation is investigated. • Thermal stratification condition changes according to the flow pattern. • Thermal stratification depends on the force balance between buoyancy and momentum. • Flow pattern change was observed even in the same regime. • Flow pattern is affected by the sensitive force balance. - Abstract: This study aims to examine the relationship between thermal stratification and flow patterns in a steam-quenching suppression pool using particle image velocimetry. Thermal stratification was experimentally evaluated in a depressurized water pool under different steam mass flux conditions. The time evolution of the temperature profile of the suppression pool was presented with the variation of condensation regimes, and steam condensation processes were visualized using a high-speed camera. The thermal stratification condition was classified into full mixing, gradual thermal stratification, and developed thermal stratification. It was found that the condition was determined by the flow patterns depending on the force balance between buoyancy and momentum. The force balance affected both the condensation regime and the flow pattern, and hence, the flow pattern was changed with the condensation regime. However, the force balance had a sensitive influence on the flow in the pool; therefore, distinct flow patterns were observed even in the same condensation regime.

  11. Collage, a Collaborative Learning Design Editor Based on Patterns

    NARCIS (Netherlands)

    Hernández-Leo, Davinia; Villasclaras-Fernández, Eloy; Jorrín-Abellán, Iván; Asensio-Pérez, Juan; Dimitriadis, Yannis; Ruiz-Requies, Inés; Rubia-Avi, Bartolomé

    2006-01-01

    CSCL (Computer-Supported Collaborative Learning) constitutes a significant field that has drawn the attention of many researchers and practitioners (Dillenbourg, 2002). This domain is characterized by the coexistence of very different expectations, requirements, knowledge and interests posed by both

  12. Knowledge Management through the Equilibrium Pattern Model for Learning

    Science.gov (United States)

    Sarirete, Akila; Noble, Elizabeth; Chikh, Azeddine

    Contemporary students are characterized by having very applied learning styles and methods of acquiring knowledge. This behavior is consistent with the constructivist models where students are co-partners in the learning process. In the present work the authors developed a new model of learning based on the constructivist theory coupled with the cognitive development theory of Piaget. The model considers the level of learning based on several stages and the move from one stage to another requires learners' challenge. At each time a new concept is introduced creates a disequilibrium that needs to be worked out to return back to its equilibrium stage. This process of "disequilibrium/equilibrium" has been analyzed and validated using a course in computer networking as part of Cisco Networking Academy Program at Effat College, a women college in Saudi Arabia. The model provides a theoretical foundation for teaching especially in a complex knowledge domain such as engineering and can be used in a knowledge economy.

  13. Exploring Elementary-School Students' Engagement Patterns in a Game-Based Learning Environment

    Science.gov (United States)

    Hsieh, Ya-Hui; Lin, Yi-Chun; Hou, Huei-Tse

    2015-01-01

    Unlike most research, which has primarily examined the players' interest in or attitude toward game-based learning through questionnaires, the purpose of this empirical study is to explore students' engagement patterns by qualitative observation and sequential analysis to visualize and better understand their game-based learning process. We…

  14. A Cross-Cultural Comparison of Student Learning Patterns in Higher Education

    Science.gov (United States)

    Marambe, Kosala N.; Vermunt, Jan D.; Boshuizen, Henny P. A.

    2012-01-01

    The aim of this study was to compare student learning patterns in higher education across different cultures. A meta-analysis was performed on three large-scale studies that had used the same research instrument: the Inventory of learning Styles (ILS). The studies were conducted in the two Asian countries Sri Lanka and Indonesia and the European…

  15. WISC-R Subtest Pattern Stability and Learning Disabilities: A Profile Analysis.

    Science.gov (United States)

    Mealor, David J.; Abrams, Pamela F.

    Profile analysis was performed on Wechsler Intelligence Scale for Children-Revised (WISC-R) scores of 29 learning disabled students (6-10 years old) in a Specific Learning Disabilities (SLD) program, to determine whether subtest patterns for initial and re-evaluation WISC-R administrations would differ significantly. Profile analysis was applied…

  16. Identifying Learning Patterns of Children at Risk for Specific Reading Disability

    Science.gov (United States)

    Barbot, Baptiste; Krivulskaya, Suzanna; Hein, Sascha; Reich, Jodi; Thuma, Philip E.; Grigorenko, Elena L.

    2016-01-01

    Differences in learning patterns of vocabulary acquisition in children at risk (+SRD) and not at risk (-SRD) for Specific Reading Disability (SRD) were examined using a microdevelopmental paradigm applied to the multi-trial Foreign Language Learning Task (FLLT; Baddeley et al., 1995). The FLLT was administered to 905 children from rural…

  17. The Effects of Reciprocal Imitation on Teacher-Student Relationships and Student Learning Outcomes

    Science.gov (United States)

    Zhou, Jiangyuan

    2012-01-01

    Neuroscientific and developmental psychological research in imitation has yielded important insights into building teacher-student relationships and enhancing students' learning. This study investigated the effects of reciprocal imitation on teacher-student relationships and students' learning outcomes in one-on-one teacher-student interactions.…

  18. The Relationship between Social-Emotional Learning Ability and Perceived Social Support in Gifted Students

    Science.gov (United States)

    Ogurlu, Üzeyir; Sevgi-Yalin, Hatun; Yavuz-Birben, Fazilet

    2018-01-01

    This study aimed to examine the relationship between social-emotional learning skills and perceived social support of gifted students. Based on this relationship, the authors also examined to what extent social and emotional learning skills were predictive of social support. In addition, gender variables were compared in social and emotional…

  19. Personality patterns and vocational interests of learning disabled and nonlearning disabled high school students

    OpenAIRE

    Ivy, Robert J.

    1991-01-01

    There is a lack of research based data in the field of learning disabilities, especially at the secondary level. The purpose of this study was to evaluate personality configuration patterns and vocational interests through the administration of the Myers-Briggs Type Indicator, Abbreviated Version (AV) and the Self-Directed Search, Form E (EASY) for learning disabled (LD) and non-learning disabled (NLD) students. The sample included 90 LD students and 100 Non-LD stud...

  20. The Relationship of Learning and Performance Diagnosis at Different System Levels.

    Science.gov (United States)

    Lubega, Khalid

    2003-01-01

    Examines learning and performance diagnosis, separately and in relation to each other, as they function in organization systems; explains the relationship between learning and performance diagnosis at the individual, process, and organizational levels using a three-level performance model; and discusses types of learning, including nonlearning,…

  1. A Literature Review on Relationship between Learner Autonomy and Learning Motivation

    Institute of Scientific and Technical Information of China (English)

    LI Lu-lu

    2014-01-01

    This paper sets out to review the relationship of learner autonomy and motivation in English learning based on previ-ous theoretical and empirical studies. This study can be of great help for learners to realize the great importance of learner autono-my and learning motivation, making them more autonomous, motivated and successful in English learning.

  2. Investigation the Relationship among Language Learning Strategies, English Self-Efficacy, and Explicit Strategy Instructions

    Science.gov (United States)

    Yang, Pei-Ling; Wang, Ai-Ling

    2015-01-01

    The present study aims to investigate the relationship among EFL college learners' language learning strategies, English self-efficacy, and explicit strategy instruction from the perspectives of Social Cognitive Theory. Three constructs, namely language learning strategies, English learning self-efficacy, and explicit strategy instruction, were…

  3. The Relationship between Instructor Humor Orientation and Students' Report on Second Language Learning

    Science.gov (United States)

    Ziyaeemehr, Ali; Kumar, Vijay

    2014-01-01

    Humor is an integral component of any language and therefore has an impact on the way languages are acquired/learned. Numerous studies have investigated the role of instructor humor in teaching/learning processes; however, there is little empirical research on the relationship between instructor humor and learning of a second language. This paper…

  4. The Reciprocal and Correlative Relationship between Learning Culture and Online Education: A Case from Saudi Arabia

    Science.gov (United States)

    Hamdan, Amani K.

    2014-01-01

    The purpose of this paper is to build on the insights of educators regarding the relationship between culture and online learning. More specifically, this paper aims to explore the ways in which students' culture of learning is changing as a result of the introduction of various modes of online learning. It also aims to explore the ways in which…

  5. Teenage motherhood: its relationship to undetected learning problems.

    Science.gov (United States)

    Rauch-Elnekave, H

    1994-01-01

    This study describes characteristics of a group of 64 adolescent mothers and their infants who participated in a program for teenage mothers run by a local health department. A majority of the girls for whom California Achievement Test (CAT) scores were available scored one or more years below grade level in reading and in language skills. Relative delays in infant development (language and social domains) were also documented. High levels of self-esteem as well as general social acceptance (by adults and peers) of early out-of-wedlock parenting suggest that early motherhood may represent an alternative avenue to experiencing success for girls who are having academic difficulties. These findings, which suggest the likelihood of a high incidence of undetected learning problems in this population, indicate that these difficulties may have a significant relationship to the high rate of school dropout associated with adolescent motherhood. The findings bring into question the notion of "unintended pregnancies" and the wisdom of current federal policies for preventing adolescent parenthood that rely on the promotion of abstinence.

  6. Relationship Between Non-invasive Brain Stimulation-induced Plasticity and Capacity for Motor Learning.

    Science.gov (United States)

    López-Alonso, Virginia; Cheeran, Binith; Fernández-del-Olmo, Miguel

    2015-01-01

    Cortical plasticity plays a key role in motor learning (ML). Non-invasive brain stimulation (NIBS) paradigms have been used to modulate plasticity in the human motor cortex in order to facilitate ML. However, little is known about the relationship between NIBS-induced plasticity over M1 and ML capacity. NIBS-induced MEP changes are related to ML capacity. 56 subjects participated in three NIBS (paired associative stimulation, anodal transcranial direct current stimulation and intermittent theta-burst stimulation), and in three lab-based ML task (serial reaction time, visuomotor adaptation and sequential visual isometric pinch task) sessions. After clustering the patterns of response to the different NIBS protocols, we compared the ML variables between the different patterns found. We used regression analysis to explore further the relationship between ML capacity and summary measures of the MEPs change. We ran correlations with the "responders" group only. We found no differences in ML variables between clusters. Greater response to NIBS protocols may be predictive of poor performance within certain blocks of the VAT. "Responders" to AtDCS and to iTBS showed significantly faster reaction times than "non-responders." However, the physiological significance of these results is uncertain. MEP changes induced in M1 by PAS, AtDCS and iTBS appear to have little, if any, association with the ML capacity tested with the SRTT, the VAT and the SVIPT. However, cortical excitability changes induced in M1 by AtDCS and iTBS may be related to reaction time and retention of newly acquired skills in certain motor learning tasks. Copyright © 2015 Elsevier Inc. All rights reserved.

  7. PatternCoder: A Programming Support Tool for Learning Binary Class Associations and Design Patterns

    Science.gov (United States)

    Paterson, J. H.; Cheng, K. F.; Haddow, J.

    2009-01-01

    PatternCoder is a software tool to aid student understanding of class associations. It has a wizard-based interface which allows students to select an appropriate binary class association or design pattern for a given problem. Java code is then generated which allows students to explore the way in which the class associations are implemented in a…

  8. Relationship between motor and cognitive learning abilities among ...

    African Journals Online (AJOL)

    Osama Abdelkarim

    2017-01-11

    Jan 11, 2017 ... the cognitive learning abilities (i.e. mathematical thinking, r = 0.62 and ...... exercise was efficient both in the promotion of learning English .... Ishigawara K, Ishizuka H. Effects of Brain Activation through Physical Exercise.

  9. A STUDY OF RELATIONSHIP BETWEEN INTERNET USAGE AND SELF-REGULATED LEARNING OF UNDERGRADUATES

    OpenAIRE

    Dr. Meena Prakash Kute; SadhanaPote-Palsamkar

    2017-01-01

    The present paper is based on the descriptive correlational research study which aimed to study the relationship between internet usage and self-regulated learning of undergraduates. The survey method was employed to collect the data from commerce, science and arts undergraduates of Mumbai University. The findings of present study showed that, there is significant relationship between internet usage and self-regulated learning of undergraduates. The relationship was found to be positive and n...

  10. Exploring the Relationships between Tutor Background, Tutor Training, and Student Learning: A Problem-Based Learning Meta-Analysis

    Science.gov (United States)

    Leary, Heather; Walker, Andrew; Shelton, Brett E.; Fitt, M. Harrison

    2013-01-01

    Despite years of primary research on problem-based learning and literature reviews, no systematic effort has been made to analyze the relationship between tutor characteristics and student learning outcomes. In an effort to fill that gap the following meta-analysis coded 223 outcomes from 94 studies with small but positive gains for PBL students…

  11. Scale effects on spatially varying relationships between urban landscape patterns and water quality.

    Science.gov (United States)

    Sun, Yanwei; Guo, Qinghai; Liu, Jian; Wang, Run

    2014-08-01

    Scientific interpretation of the relationships between urban landscape patterns and water quality is important for sustainable urban planning and watershed environmental protection. This study applied the ordinary least squares regression model and the geographically weighted regression model to examine the spatially varying relationships between 12 explanatory variables (including three topographical factors, four land use parameters, and five landscape metrics) and 15 water quality indicators in watersheds of Yundang Lake, Maluan Bay, and Xinglin Bay with varying levels of urbanization in Xiamen City, China. A local and global investigation was carried out at the watershed-level, with 50 and 200 m riparian buffer scales. This study found that topographical features and landscape metrics are the dominant factors of water quality, while land uses are too weak to be considered as a strong influential factor on water quality. Such statistical results may be related with the characteristics of land use compositions in our study area. Water quality variations in the 50 m buffer were dominated by topographical variables. The impact of landscape metrics on water quality gradually strengthen with expanding buffer zones. The strongest relationships are obtained in entire watersheds, rather than in 50 and 200 m buffer zones. Spatially varying relationships and effective buffer zones were verified in this study. Spatially varying relationships between explanatory variables and water quality parameters are more diversified and complex in less urbanized areas than in highly urbanized areas. This study hypothesizes that all these varying relationships may be attributed to the heterogeneity of landscape patterns in different urban regions. Adjustment of landscape patterns in an entire watershed should be the key measure to successfully improving urban lake water quality.

  12. Reggio Emilia Inspired Learning Groups: Relationships, Communication, Cognition, and Play

    Science.gov (United States)

    Hong, Seong Bock; Shaffer, LaShorage; Han, Jisu

    2017-01-01

    A key aspect of the Reggio Emilia inspired curriculum is a learning group approach that fosters social and cognitive development. The purpose of this paper is to investigate how a Reggio Emilia inspired learning group approach works for children with and without disabilities. This study gives insight into how to form an appropriate learning group…

  13. Individual Difference Factors in the Learning and Transfer of Patterning Discriminations

    Directory of Open Access Journals (Sweden)

    Elisa Maes

    2017-07-01

    Full Text Available In an associative patterning task, some people seem to focus more on learning an overarching rule, whereas others seem to focus on acquiring specific relations between the stimuli and outcomes involved. Building on earlier work, we further investigated which cognitive factors are involved in feature- vs. rule-based learning and generalization. To this end, we measured participants' tendency to generalize according to the rule of opposites after training on negative and positive patterning problems (i.e., A+/B+/AB− and C−/D−/CD+, their tendency to attend to global aspects or local details of stimuli, their systemizing disposition and their score on the Raven intelligence test. Our results suggest that while intelligence might have some influence on patterning learning and generalization, visual processing style and systemizing disposition do not. We discuss our findings in the light of previous observations on patterning.

  14. Patterns Characterising the Teaching and Learning Practices of ...

    African Journals Online (AJOL)

    The paper examined the relevance of Religious Studies as an academic discipline in secondary schools in Zimbabwe. This was done with the intention to find different methods and approaches that can be used to promote the teaching and learning of Religious Education in secondary schools. The study employed a case ...

  15. Knowledge-Intensive, Interactive and Efficient Relational Pattern Learning

    Science.gov (United States)

    2006-09-01

    Although the idea of incorporating the ability to learn first order rules from RDBMSs is not new – Stonebraker et. al [6] added this feature to Postgres and...Future Directions. Volume To appear. AAAI Press (2004) 6. Stonebraker, M., Kemnitz, G.: The postgres next-generation database management system

  16. Feature economy vs. logical complexity in phonological pattern learning

    NARCIS (Netherlands)

    Seinhorst, K.T.

    Complexity has been linked to ease of learning. This article explores the roles of two measures of complexity – feature economy and logical complexity – in the acquisition of sets of signs, taken from a small sign language that serves as an analogue of plosive inventories in spoken language. In a

  17. Span: spike pattern association neuron for learning spatio-temporal spike patterns.

    Science.gov (United States)

    Mohemmed, Ammar; Schliebs, Stefan; Matsuda, Satoshi; Kasabov, Nikola

    2012-08-01

    Spiking Neural Networks (SNN) were shown to be suitable tools for the processing of spatio-temporal information. However, due to their inherent complexity, the formulation of efficient supervised learning algorithms for SNN is difficult and remains an important problem in the research area. This article presents SPAN - a spiking neuron that is able to learn associations of arbitrary spike trains in a supervised fashion allowing the processing of spatio-temporal information encoded in the precise timing of spikes. The idea of the proposed algorithm is to transform spike trains during the learning phase into analog signals so that common mathematical operations can be performed on them. Using this conversion, it is possible to apply the well-known Widrow-Hoff rule directly to the transformed spike trains in order to adjust the synaptic weights and to achieve a desired input/output spike behavior of the neuron. In the presented experimental analysis, the proposed learning algorithm is evaluated regarding its learning capabilities, its memory capacity, its robustness to noisy stimuli and its classification performance. Differences and similarities of SPAN regarding two related algorithms, ReSuMe and Chronotron, are discussed.

  18. Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars

    Science.gov (United States)

    Cortes Vasquez, Augusto

    2015-01-01

    One issue of real interest in the area of web data mining is to capture users' activities during connection and extract behavior patterns that help define their preferences in order to improve the design of future pages adapting websites interfaces to individual users. This research is intended to provide, first of all, a presentation of the…

  19. Modelling Global Pattern Formations for Collaborative Learning Environments

    DEFF Research Database (Denmark)

    Grappiolo, Corrado; Cheong, Yun-Gyung; Khaled, Rilla

    2012-01-01

    We present our research towards the design of a computational framework capable of modelling the formation and evolution of global patterns (i.e. group structures) in a population of social individuals. The framework is intended to be used in collaborative environments, e.g. social serious games...

  20. LEAP: biomarker inference through learning and evaluating association patterns.

    Science.gov (United States)

    Jiang, Xia; Neapolitan, Richard E

    2015-03-01

    Single nucleotide polymorphism (SNP) high-dimensional datasets are available from Genome Wide Association Studies (GWAS). Such data provide researchers opportunities to investigate the complex genetic basis of diseases. Much of genetic risk might be due to undiscovered epistatic interactions, which are interactions in which combination of several genes affect disease. Research aimed at discovering interacting SNPs from GWAS datasets proceeded in two directions. First, tools were developed to evaluate candidate interactions. Second, algorithms were developed to search over the space of candidate interactions. Another problem when learning interacting SNPs, which has not received much attention, is evaluating how likely it is that the learned SNPs are associated with the disease. A complete system should provide this information as well. We develop such a system. Our system, called LEAP, includes a new heuristic search algorithm for learning interacting SNPs, and a Bayesian network based algorithm for computing the probability of their association. We evaluated the performance of LEAP using 100 1,000-SNP simulated datasets, each of which contains 15 SNPs involved in interactions. When learning interacting SNPs from these datasets, LEAP outperformed seven others methods. Furthermore, only SNPs involved in interactions were found to be probable. We also used LEAP to analyze real Alzheimer's disease and breast cancer GWAS datasets. We obtained interesting and new results from the Alzheimer's dataset, but limited results from the breast cancer dataset. We conclude that our results support that LEAP is a useful tool for extracting candidate interacting SNPs from high-dimensional datasets and determining their probability. © 2015 The Authors. *Genetic Epidemiology published by Wiley Periodicals, Inc.

  1. Relationship between cement distribution pattern and new compression fracture after percutaneous vertebroplasty.

    Science.gov (United States)

    Tanigawa, Noboru; Komemushi, Atsushi; Kariya, Shuji; Kojima, Hiroyuki; Shomura, Yuzo; Omura, Naoto; Sawada, Satoshi

    2007-12-01

    The objective of this study was to prospectively investigate relationships between cement distribution patterns and the occurrence rates of new compression fractures after percutaneous vertebroplasty. Percutaneous vertebroplasty was performed for osteoporotic compression fractures in 76 consecutive patients. Patients were divided into two groups according to the cement filling pattern shown on radiography and CT: cleft pattern group (group C, n = 34), compact and solid cement filling pattern in vertebrae; and trabecular pattern group (group T, n = 42), sponge-like filling pattern. A visual analog scale (VAS) was used to assess pain severity, and anterior and lateral radiographs of the thoracic and lumbar vertebrae were obtained 1-3 days and 1, 4, 10, 22, and 34 months after percutaneous vertebroplasty. Differences in treatment efficacy and the occurrence rates of new compression fractures were examined and compared for both groups using the Mann-Whitney U test and chi-square test. A significant difference was seen between groups with respect to the volume of cement injected per vertebra (mean volume: group C, 4.5 mL; group T, 3.7 mL; p = 0.01). VAS improvement did not differ significantly between group C (4.6) and group T (4.5). The mean follow-up period was 19.5 months, during which new compression fractures were significantly more frequent in group C (17 of 34 [50%]) than in group T (11 of 42 [26.2%]; p = 0.03). Although cement distribution patterns do not significantly affect initial clinical response, a higher incidence of new compression fractures is seen in patients with treated vertebrae exhibiting a cleft pattern.

  2. Spatial pattern affects diversity-productivity relationships in experimental meadow communities

    Science.gov (United States)

    Lamošová, Tereza; Doležal, Jiří; Lanta, Vojtěch; Lepš, Jan

    2010-05-01

    Plant species create aggregations of conspecifics as a consequence of limited seed dispersal, clonal growth and heterogeneous environment. Such intraspecific aggregation increases the importance of intraspecific competition relative to interspecific competition which may slow down competitive exclusion and promote species coexistence. To examine how spatial aggregation impacts the functioning of experimental assemblages of varying species richness, eight perennial grassland species of different growth form were grown in random and aggregated patterns in monocultures, two-, four-, and eight-species mixtures. In mixtures with an aggregated pattern, monospecific clumps were interspecifically segregated. Mixed model ANOVA was used to test (i) how the total productivity and productivity of individual species is affected by the number of species in a mixture, and (ii) how these relationships are affected by spatial pattern of sown plants. The main patterns of productivity response to species richness conform to other studies: non-transgressive overyielding is omnipresent (the productivity of mixtures is higher than the average of its constituent species so that the net diversity, selection and complementarity effects are positive), whereas transgressive overyielding is found only in a minority of cases (average of log(overyielding) being close to zero or negative). The theoretical prediction that plants in a random pattern should produce more than in an aggregated pattern (the distances to neighbours are smaller and consequently the competition among neighbours stronger) was confirmed in monocultures of all the eight species. The situation is more complicated in mixtures, probably as a consequence of complicated interplay between interspecific and intraspecific competition. The most productive species ( Achillea, Holcus, Plantago) were competitively superior and increased their relative productivity with mixture richness. The intraspecific competition of these species is

  3. Hypothetical Pattern Recognition Design Using Multi-Layer Perceptorn Neural Network For Supervised Learning

    Directory of Open Access Journals (Sweden)

    Md. Abdullah-al-mamun

    2015-08-01

    Full Text Available Abstract Humans are capable to identifying diverse shape in the different pattern in the real world as effortless fashion due to their intelligence is grow since born with facing several learning process. Same way we can prepared an machine using human like brain called Artificial Neural Network that can be recognize different pattern from the real world object. Although the various techniques is exists to implementation the pattern recognition but recently the artificial neural network approaches have been giving the significant attention. Because the approached of artificial neural network is like a human brain that is learn from different observation and give a decision the previously learning rule. Over the 50 years research now a days pattern recognition for machine learning using artificial neural network got a significant achievement. For this reason many real world problem can be solve by modeling the pattern recognition process. The objective of this paper is to present the theoretical concept for pattern recognition design using Multi-Layer Perceptorn neural networkin the algorithm of artificial Intelligence as the best possible way of utilizing available resources to make a decision that can be a human like performance.

  4. Learning styles and critical thinking relationship in baccalaureate nursing education: a systematic review.

    Science.gov (United States)

    Andreou, Christos; Papastavrou, Evridiki; Merkouris, Anastasios

    2014-03-01

    Critical thinking is a desirable competency for contemporary nurses although there are growing concerns supporting a disturbing paucity in its achievement. Learning styles reflect habitual behaviors which determine distinct preferences within learning situations. Evidence suggests that critical thinking could evolve through learning processes. Variances in critical thinking achievement by nursing students might therefore be influenced by individual learning preferences. The concepts "learning styles" and "critical thinking" have been independently examined in the nursing literature. No reviews were found however exploring their association in nursing education. To identify the potential relationships between learning styles and critical thinking in baccalaureate nursing students. Systematic review. Eleven electronic databases were utilized without geographical and time publishing filters. Hand-searching journals and scanning references from retrieved studies were also performed. Databases were searched for descriptive correlational studies which considered the relationship between learning styles and critical thinking in baccalaureate nursing students. The authors independently progressed three stage screening. Retrieved articles were reviewed at title, abstract and full text levels according to predetermined criteria. All included studies were quality appraised using a rating tool for descriptive studies. Six studies were finally included. Findings were grouped under four key themes: predominant learning styles, critical thinking scoring, critical thinking evolution across academic progress and learning styles-critical thinking correlations. Learning styles' diversities, weak critical thinking and inconsistent evolution through academic progress were revealed across studies. Critical thinking differed significantly between learning styles. Commonly accepted models in nursing education were lacking in both learning styles and critical thinking. Within studies

  5. The Comparison of Relationship between Family Communication Patterns and Self Concept with Coping Styles in Male and Female Students

    Directory of Open Access Journals (Sweden)

    R Taheri

    2012-10-01

    Full Text Available Background & Aim: Since people have different coping styles, the purpose of the present research was to compare the relationship between family communication patterns and self-concept with coping styles among male and female students of Eram Higher Education Institution in Shiraz. Methods: In the present correlation study conducted in 2011 at Eram Higher Education Institution in Shiraz, 229 participants (91 males &119 females were selected by simple random sampling method. Data was collected by using the revised version of family communication patterns questionnaire (RFCP, Koerner & Fitz patrik (2002, Beck's Self-concept Test (CST (1990 and Coping Inventory for Stressful Situations (CISS Endler & Parker (1990. Data was analyzed using correlation matrix & independent t-test analysis. Results: According to the result, there was significant correlation between family communication patterns and self-concept with coping styles among male and female students. In the female group, task oriented coping and avoidance oriented coping with conversation orientation and emotion oriented coping with conforming orientation showed positive significant correlation. In male group avoidance orientation coping with conversation orientation and emotion oriented coping with conforming orientation showed positive significant correlation. Also, related to self concept variable, results showed female students task oriented coping and avoidance oriented coping had significant correlation with the self concept variable, but the male students avoidance oriented coping had significant correlation with the self concept variable(P<0/05. Also, the result showed significant difference between two male and female students, in emotion oriented coping, so the female group, emotion oriented coping with (51/48 was more than the orientation within the male group with (48/18, (p<0.05. Conclusion: Family communication patterns and the concept are effective on coping styles. Therefore

  6. Learning Design Patterns for Hybrid Synchronous Video-Mediated Learning Environments

    DEFF Research Database (Denmark)

    Weitze, Charlotte Lærke

    2016-01-01

    This article describes an innovative learning environment where remote and face-to-face full-time general upper secondary adult students jointly participate in the same live classes at VUC Storstrøm, an adult learning centre in Denmark. The teachers developed new learning designs as a part of the...... activating and equal learning designs for the students. This article is written on the basis of a chapter in the PhD–thesis by the author....

  7. Application of Deep Learning and Supervised Learning Methods to Recognize Nonlinear Hidden Pattern in Water Stress Levels from Spatiotemporal Datasets across Rural and Urban US Counties

    Science.gov (United States)

    Eisenhart, T.; Josset, L.; Rising, J. A.; Devineni, N.; Lall, U.

    2017-12-01

    In the wake of recent water crises, the need to understand and predict the risk of water stress in urban and rural areas has grown. This understanding has the potential to improve decision making in public resource management, policy making, risk management and investment decisions. Assuming an underlying relationship between urban and rural water stress and observable features, we apply Deep Learning and Supervised Learning models to uncover hidden nonlinear patterns from spatiotemporal datasets. Results of interest includes prediction accuracy on extreme categories (i.e. urban areas highly prone to water stress) and not solely the average risk for urban or rural area, which adds complexity to the tuning of model parameters. We first label urban water stressed counties using annual water quality violations and compile a comprehensive spatiotemporal dataset that captures the yearly evolution of climatic, demographic and economic factors of more than 3,000 US counties over the 1980-2010 period. As county-level data reporting is not done on a yearly basis, we test multiple imputation methods to get around the issue of missing data. Using Python libraries, TensorFlow and scikit-learn, we apply and compare the ability of, amongst other methods, Recurrent Neural Networks (testing both LSTM and GRU cells), Convolutional Neural Networks and Support Vector Machines to predict urban water stress. We evaluate the performance of those models over multiple time spans and combine methods to diminish the risk of overfitting and increase prediction power on test sets. This methodology seeks to identify hidden nonlinear patterns to assess the predominant data features that influence urban and rural water stress. Results from this application at the national scale will assess the performance of deep learning models to predict water stress risk areas across all US counties and will highlight a predominant Machine Learning method for modeling water stress risk using spatiotemporal

  8. Transmission of linear regression patterns between time series: from relationship in time series to complex networks.

    Science.gov (United States)

    Gao, Xiangyun; An, Haizhong; Fang, Wei; Huang, Xuan; Li, Huajiao; Zhong, Weiqiong; Ding, Yinghui

    2014-07-01

    The linear regression parameters between two time series can be different under different lengths of observation period. If we study the whole period by the sliding window of a short period, the change of the linear regression parameters is a process of dynamic transmission over time. We tackle fundamental research that presents a simple and efficient computational scheme: a linear regression patterns transmission algorithm, which transforms linear regression patterns into directed and weighted networks. The linear regression patterns (nodes) are defined by the combination of intervals of the linear regression parameters and the results of the significance testing under different sizes of the sliding window. The transmissions between adjacent patterns are defined as edges, and the weights of the edges are the frequency of the transmissions. The major patterns, the distance, and the medium in the process of the transmission can be captured. The statistical results of weighted out-degree and betweenness centrality are mapped on timelines, which shows the features of the distribution of the results. Many measurements in different areas that involve two related time series variables could take advantage of this algorithm to characterize the dynamic relationships between the time series from a new perspective.

  9. Relationship between foot strike pattern, running speed, and footwear condition in recreational distance runners.

    Science.gov (United States)

    Cheung, Roy T H; Wong, Rodney Y L; Chung, Tim K W; Choi, R T; Leung, Wendy W Y; Shek, Diana H Y

    2017-06-01

    Compared to competitive runners, recreational runners appear to be more prone to injuries, which have been associated with foot strike patterns. Surprisingly, only few studies had examined the foot strike patterns outside laboratories. Therefore, this study compared the foot strike patterns in recreational runners at outdoor tracks with previously reported data. We also investigated the relationship between foot strike pattern, speed, and footwear in this cohort. Among 434 recreational runners analysed, 89.6% of them landed with rearfoot strike (RFS). Only 6.9 and 3.5% landed with midfoot and forefoot, respectively. A significant shift towards non-RFS was observed in our cohort, when compared with previously reported data. When speed increased by 1 m/s, the odds of having forefoot strike and midfoot strike relative to RFS increased by 2.3 times and 2.6 times, respectively. Runners were 9.2 times more likely to run with a forefoot strike in minimalists compared to regular running shoes, although 70% of runners in minimalists continued to use a RFS. These findings suggest that foot strike pattern may differ across running conditions and runners should consider these factors in order to mitigate potential injury.

  10. The Relationships Between Policy, Boundaries and Research in Networked Learning

    DEFF Research Database (Denmark)

    Ryberg, Thomas; Sinclair, Christine

    2016-01-01

    the books that include a selection of reworked and peer-reviewed papers from the conference. The 2014 Networked Learning Conference which was held in Edinburgh was characterised by animated dialogue on emergent influences affecting networked teaching and learning building on work established in earlier...

  11. Investigating the Relationships between Loneliness and Learning Burnout

    Science.gov (United States)

    Lin, Shu-Hui; Huang, Yun-Chen

    2012-01-01

    Loneliness is a common problem for many students. Research indicates that loneliness is associated with relatively poor physical health and depression among students. Burnout in students is also an important issue since it adversely affects students' learning as well as their health and well-being. Both loneliness and learning burnout are related…

  12. The Relationship between Artificial and Second Language Learning

    Science.gov (United States)

    Ettlinger, Marc; Morgan-Short, Kara; Faretta-Stutenberg, Mandy; Wong, Patrick C. M.

    2016-01-01

    Artificial language learning (ALL) experiments have become an important tool in exploring principles of language and language learning. A persistent question in all of this work, however, is whether ALL engages the linguistic system and whether ALL studies are ecologically valid assessments of natural language ability. In the present study, we…

  13. The Relationship between Learning Style and Academic Achievement.

    Science.gov (United States)

    Farrell-Moskwa, Claire

    A study investigated the correlation between students' learning styles and their academic achievement on report cards and standardized tests. Subjects were 58 fifth-grade students in a suburban middle school. The "Learning Style Inventory" by Brown and Cooper was administered to this population, and students' academic averages and…

  14. Learning Difficulty and Learner Identity: A Symbiotic Relationship

    Science.gov (United States)

    Hirano, Eliana

    2009-01-01

    This paper reports on a longitudinal case study of an adult EFL learner who perceived himself as having difficulty learning English. Both learning difficulty and learner identity are viewed as being constructed in discursive interactions throughout one's life and, hence, amenable to reconstruction. Data collected from classroom interactions,…

  15. RELATIONSHIP BETWEEN PERCEPTION AND LEARNING IN THE MENTALLY RETARDED.

    Science.gov (United States)

    JOHNSON, G. ORVILLE

    SUPPORTIVE EVIDENCE IS GIVEN AGAINST PERCEPTUAL DISORDERS CREATING INTERFERENCE IN LEARNING. THE CONTENTION THAT A PERCEPTUAL FIGURE GROUND DISTURBANCE NECESSARILY INTERFERES WITH THE LEARNING PROCESS IS NOT SUPPORTED BY THE EVIDENCE. THERE ARE INDICATIONS, HOWEVER, THAT BACKGROUND INTERFERENCE SEEMS TO AFFECT SOME CHILDREN MORE THAN OTHERS. TWO…

  16. The relationship between strategy making and organizational learning

    Directory of Open Access Journals (Sweden)

    Ângela França Versiani

    2018-06-01

    Full Text Available Purpose – This paper discusses the role of strategy making in organizational learning. By linking organizational learning and strategyas-practice literatures, the objective of this research was to analyze how intertwined the cognitive process and strategic activities are in organizational learning. Design/methodology/approach – The metodology used is a longitudinal qualitative single case study of one of the largest Brazilian companies in the power industry. The unit of analysis is the firm’s growth strategy through mergers and acquisitions from 2003 to 2012. Findings – The findings show that organizational learning involved four sequenced causal flows in which specific types of strategic activities contributed directly or indirectly to learning loops. Originality/value – Our main contribution is to show that the implementation of strategic activities is the key to strategic renewal.

  17. Changing patterns of brain activation during maze learning.

    Science.gov (United States)

    Van Horn, J D; Gold, J M; Esposito, G; Ostrem, J L; Mattay, V; Weinberger, D R; Berman, K F

    1998-05-18

    Recent research has found that patterns of brain activation involving the frontal cortex during novel task performance change dramatically following practice and repeat performance. Evidence for differential left vs. right frontal lobe activation, respectively, during episodic memory encoding and retrieval has also been reported. To examine these potentially related issues regional cerebral blood flow (rCBF) was measured in 15 normal volunteers using positron emission tomography (PET) during the naive and practiced performance of a maze task paradigm. SPM analysis indicated a largely right-sided, frontal lobe activation during naive performance. Following training and practice, performance of the same maze task elicited a more posterior pattern of rCBF activation involving posterior cingulate and precuneus. The change in the pattern of rCBF activation between novel and practiced task conditions agrees with results found in previous studies using repeat task methodology, and indicates that the neural circuitry required for encoding novel task information differs from that required when the same task has become familiar and information is being recalled. The right-sided preponderance of activation during naive performance may relate to task novelty and the spatially-based nature of the stimuli, whereas posterior areas activated during repeat performance are those previously found to be associated with visuospatial memory recall. Activation of these areas, however, does not agree with previously reported findings of left-sided activation during verbal episodic memory encoding and right-sided activation during retrieval, suggesting different neural substrates for verbal and visuospatial processing within memory. Copyright 1998 Elsevier Science B.V.

  18. Visual Learning Induces Changes in Resting-State fMRI Multivariate Pattern of Information.

    Science.gov (United States)

    Guidotti, Roberto; Del Gratta, Cosimo; Baldassarre, Antonello; Romani, Gian Luca; Corbetta, Maurizio

    2015-07-08

    When measured with functional magnetic resonance imaging (fMRI) in the resting state (R-fMRI), spontaneous activity is correlated between brain regions that are anatomically and functionally related. Learning and/or task performance can induce modulation of the resting synchronization between brain regions. Moreover, at the neuronal level spontaneous brain activity can replay patterns evoked by a previously presented stimulus. Here we test whether visual learning/task performance can induce a change in the patterns of coded information in R-fMRI signals consistent with a role of spontaneous activity in representing task-relevant information. Human subjects underwent R-fMRI before and after perceptual learning on a novel visual shape orientation discrimination task. Task-evoked fMRI patterns to trained versus novel stimuli were recorded after learning was completed, and before the second R-fMRI session. Using multivariate pattern analysis on task-evoked signals, we found patterns in several cortical regions, as follows: visual cortex, V3/V3A/V7; within the default mode network, precuneus, and inferior parietal lobule; and, within the dorsal attention network, intraparietal sulcus, which discriminated between trained and novel visual stimuli. The accuracy of classification was strongly correlated with behavioral performance. Next, we measured multivariate patterns in R-fMRI signals before and after learning. The frequency and similarity of resting states representing the task/visual stimuli states increased post-learning in the same cortical regions recruited by the task. These findings support a representational role of spontaneous brain activity. Copyright © 2015 the authors 0270-6474/15/359786-13$15.00/0.

  19. Patterns of Internet Usage: Learning Sphere and the Socio-cultural Context

    Directory of Open Access Journals (Sweden)

    Hossein Ebrahimabadi

    2009-11-01

    Full Text Available In addition to the curriculum and the learning targets, there are some other points –as “the culture of the real life”, “patterns of communication and virtual-life’s experiencing”, and generally “pattern of communication and internet usage”- should be considered in evaluating internet. Applying results of a survey on the impacts of both the web-based and the traditional educational methods on students’ learning and motivation, the present study explores the patterns of internet usage. Research method is experimental, using the t test for independent groups and analyzing multi-variable regression, and some points as the population, method of sampling and data gathering is explained in the article. Results show that there is a meaningful difference between the grades of the test group and the witness group; thus variable of “the internet usage” could predict changes in learning. In other words, supra-usage of internet would decrease learning and curriculum development. However, using internet for scientific and schooling would cause students to correlate their patterns of computer and internet usage. As results show, decline in entertaining usage of internet is related to the socio-cultural context, way and amount of participating in the web, and the quality of virtual learning sphere, rather than the interest or disinterest of the users.

  20. Extracting Fitness Relationships and Oncogenic Patterns among Driver Genes in Cancer.

    Science.gov (United States)

    Zhang, Xindong; Gao, Lin; Jia, Songwei

    2017-12-25

    Driver mutation provides fitness advantage to cancer cells, the accumulation of which increases the fitness of cancer cells and accelerates cancer progression. This work seeks to extract patterns accumulated by driver genes ("fitness relationships") in tumorigenesis. We introduce a network-based method for extracting the fitness relationships of driver genes by modeling the network properties of the "fitness" of cancer cells. Colon adenocarcinoma (COAD) and skin cutaneous malignant melanoma (SKCM) are employed as case studies. Consistent results derived from different background networks suggest the reliability of the identified fitness relationships. Additionally co-occurrence analysis and pathway analysis reveal the functional significance of the fitness relationships with signaling transduction. In addition, a subset of driver genes called the "fitness core" is recognized for each case. Further analyses indicate the functional importance of the fitness core in carcinogenesis, and provide potential therapeutic opportunities in medicinal intervention. Fitness relationships characterize the functional continuity among driver genes in carcinogenesis, and suggest new insights in understanding the oncogenic mechanisms of cancers, as well as providing guiding information for medicinal intervention.

  1. Playing to Investigate the Relationship Between Achievement and the Perception of learning

    Directory of Open Access Journals (Sweden)

    Steven Boyd

    2018-03-01

    Full Text Available This paper investigates the relationship between achievement and the perception of enjoyment and learning through the serious game, Playing Property.Playing Property is an audience response game forming the basis of workshops to engage junior high students, of 13 to 15 years old, and enhance their knowledge of property investment. The investigation extends to the analysis of trends in audience response decisions from 14 workshops, conducted over three consecutive years.Emerging findings present significant associations between enjoyment and the perception of learning. The relationship between achievement, measured in accumulated game score, and the responders’ perception of enjoyment is present but less significant. Further analysis supports a deeper relationship between play and learning, one where competition and other game play attributes are more effective in engagement than point scoring or rewarding.A more detailed evaluation may include staged testing of what may be learned and how well that learning endures, in comparison with other forms of teaching.

  2. The relationship between gross motor skills and academic achievement in children with learning disabilities.

    Science.gov (United States)

    Westendorp, Marieke; Hartman, Esther; Houwen, Suzanne; Smith, Joanne; Visscher, Chris

    2011-01-01

    The present study compared the gross motor skills of 7- to 12-year-old children with learning disabilities (n = 104) with those of age-matched typically developing children (n = 104) using the Test of Gross Motor Development-2. Additionally, the specific relationships between subsets of gross motor skills and academic performance in reading, spelling, and mathematics were examined in children with learning disabilities. As expected, the children with learning disabilities scored poorer on both the locomotor and object-control subtests than their typically developing peers. Furthermore, in children with learning disabilities a specific relationship was observed between reading and locomotor skills and a trend was found for a relationship between mathematics and object-control skills: the larger children's learning lag, the poorer their motor skill scores. This study stresses the importance of specific interventions facilitating both motor and academic abilities. Copyright © 2011 Elsevier Ltd. All rights reserved.

  3. Neural Pattern Similarity in the Left IFG and Fusiform Is Associated with Novel Word Learning

    Science.gov (United States)

    Qu, Jing; Qian, Liu; Chen, Chuansheng; Xue, Gui; Li, Huiling; Xie, Peng; Mei, Leilei

    2017-01-01

    Previous studies have revealed that greater neural pattern similarity across repetitions is associated with better subsequent memory. In this study, we used an artificial language training paradigm and representational similarity analysis to examine whether neural pattern similarity across repetitions before training was associated with post-training behavioral performance. Twenty-four native Chinese speakers were trained to learn a logographic artificial language for 12 days and behavioral performance was recorded using the word naming and picture naming tasks. Participants were scanned while performing a passive viewing task before training, after 4-day training and after 12-day training. Results showed that pattern similarity in the left pars opercularis (PO) and fusiform gyrus (FG) before training was negatively associated with reaction time (RT) in both word naming and picture naming tasks after training. These results suggest that neural pattern similarity is an effective neurofunctional predictor of novel word learning in addition to word memory. PMID:28878640

  4. Student Media Usage Patterns and Non-Traditional Learning in Higher Education

    Directory of Open Access Journals (Sweden)

    Olaf Zawacki-Richter

    2015-04-01

    Full Text Available A total of 2,338 students at German universities participated in a survey, which investigated media usage patterns of so-called traditional and non-traditional students (Schuetze & Wolter, 2003. The students provided information on the digital devices that they own or have access to, and on their usage of media and e-learning tools and services for their learning. A distinction was made between external, formal and internal, informal tools and services. Based on the students’ responses, a typology of media usage patterns was established by means of a latent class analysis (LCA. Four types or profiles of media usage patterns were identified. These types were labeled entertainment users, peripheral users, advanced users and instrumental users. Among non-traditional students, the proportion of instrumental users was rather high. Based on the usage patterns of traditional and non-traditional students, implications for media selection in the instructional design process are outlined in the paper.

  5. Neural Pattern Similarity in the Left IFG and Fusiform Is Associated with Novel Word Learning

    Directory of Open Access Journals (Sweden)

    Jing Qu

    2017-08-01

    Full Text Available Previous studies have revealed that greater neural pattern similarity across repetitions is associated with better subsequent memory. In this study, we used an artificial language training paradigm and representational similarity analysis to examine whether neural pattern similarity across repetitions before training was associated with post-training behavioral performance. Twenty-four native Chinese speakers were trained to learn a logographic artificial language for 12 days and behavioral performance was recorded using the word naming and picture naming tasks. Participants were scanned while performing a passive viewing task before training, after 4-day training and after 12-day training. Results showed that pattern similarity in the left pars opercularis (PO and fusiform gyrus (FG before training was negatively associated with reaction time (RT in both word naming and picture naming tasks after training. These results suggest that neural pattern similarity is an effective neurofunctional predictor of novel word learning in addition to word memory.

  6. The Virtual Teacher (VT) Paradigm: Learning New Patterns of Interpersonal Coordination Using the Human Dynamic Clamp.

    Science.gov (United States)

    Kostrubiec, Viviane; Dumas, Guillaume; Zanone, Pier-Giorgio; Kelso, J A Scott

    2015-01-01

    The Virtual Teacher paradigm, a version of the Human Dynamic Clamp (HDC), is introduced into studies of learning patterns of inter-personal coordination. Combining mathematical modeling and experimentation, we investigate how the HDC may be used as a Virtual Teacher (VT) to help humans co-produce and internalize new inter-personal coordination pattern(s). Human learners produced rhythmic finger movements whilst observing a computer-driven avatar, animated by dynamic equations stemming from the well-established Haken-Kelso-Bunz (1985) and Schöner-Kelso (1988) models of coordination. We demonstrate that the VT is successful in shifting the pattern co-produced by the VT-human system toward any value (Experiment 1) and that the VT can help humans learn unstable relative phasing patterns (Experiment 2). Using transfer entropy, we find that information flow from one partner to the other increases when VT-human coordination loses stability. This suggests that variable joint performance may actually facilitate interaction, and in the long run learning. VT appears to be a promising tool for exploring basic learning processes involved in social interaction, unraveling the dynamics of information flow between interacting partners, and providing possible rehabilitation opportunities.

  7. Exploring Ocean Animal Trajectory Pattern via Deep Learning

    KAUST Repository

    Wang, Su

    2016-01-01

    We trained a combined deep convolutional neural network to predict seals’ age (3 categories) and gender (2 categories). The entire dataset contains 110 seals with around 489 thousand location records. Most records are continuous and measured in a certain step. We created five convolutional layers for feature representation and established two fully connected structure as age’s and gender’s classifier, respectively. Each classifier consists of three fully connected layers. Treating seals’ latitude and longitude as input, entire deep learning network, which includes 780,000 neurons and 2,097,000 parameters, can reach to 70.72% accuracy rate for predicting seals’ age and simultaneously achieve 79.95% for gender estimation.

  8. Exploring Ocean Animal Trajectory Pattern via Deep Learning

    KAUST Repository

    Wang, Su

    2016-05-23

    We trained a combined deep convolutional neural network to predict seals’ age (3 categories) and gender (2 categories). The entire dataset contains 110 seals with around 489 thousand location records. Most records are continuous and measured in a certain step. We created five convolutional layers for feature representation and established two fully connected structure as age’s and gender’s classifier, respectively. Each classifier consists of three fully connected layers. Treating seals’ latitude and longitude as input, entire deep learning network, which includes 780,000 neurons and 2,097,000 parameters, can reach to 70.72% accuracy rate for predicting seals’ age and simultaneously achieve 79.95% for gender estimation.

  9. Density-body mass relationships: Inconsistent intercontinental patterns among termite feeding-groups

    Science.gov (United States)

    Dahlsjö, Cecilia A. L.; Parr, Catherine L.; Malhi, Yadvinder; Meir, Patrick; Rahman, Homathevi; Eggleton, Paul

    2015-02-01

    Allometric relationships are useful for estimating and understanding resource distribution in assemblages with species of different masses. Damuth's law states that body mass scales with population density as M-0.75, where M is body mass and -0.75 is the slope. In this study we used Damuth's law (M-0.75) as a null hypothesis to examine the relationship between body mass and population density for termite feeding-groups in three different countries and regions (Cameroon, West Africa; Peru South America; and Malaysia SE Asia). We found that none of the feeding-groups had a relationship where M-0.75 while the data suggested that population density-body mass relationships for true soil-feeding termites in Cameroon (M2.7) and wood-feeding termites in Peru (M1.5) were significantly different from the expected values given by Damuth's law. The dominance of large-bodied true soil-feeding termites in Cameroon and the absence of fungus-growing termites from Peru suggest that these allometric patterns are due to heterogeneities in termite biogeographical evolution. Additionally, as these feeding-groups have higher population density than expected by their body masses it may be suggested that they also have a higher energy throughput than expected. The results presented here may be used to gain further understanding of resource distribution among termite feeding-groups across regions and an insight into the importance of evolutionary history and biogeography on allometric patterns. Further understanding of population density-body mass relationships in termite feeding-groups may also improve understanding of the role these feeding-groups play in ecosystem processes in different regions.

  10. 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%.

  11. 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%.

  12. Relationship between Achilles tendon properties and foot strike patterns in long-distance runners.

    Science.gov (United States)

    Kubo, Keitaro; Miyazaki, Daisuke; Tanaka, Shigeharu; Shimoju, Shozo; Tsunoda, Naoya

    2015-01-01

    The purpose of this study was to investigate the relationship between Achilles tendon properties and foot strike patterns in long-distance runners. Forty-one highly trained male long-distance runners participated in this study. Elongation of the Achilles tendon and aponeurosis of the medial gastrocnemius muscle were measured using ultrasonography, while the participants performed ramp isometric plantar flexion up to the voluntary maximum. The relationship between the estimated muscle force and tendon elongation during the ascending phase was fit to a linear regression, the slope of which was defined as stiffness. In addition, the cross-sectional area of the Achilles tendon was measured using ultrasonography. Foot strike patterns (forefoot, midfoot and rearfoot) during running were determined at submaximal velocity (18 km · h(-1)) on a treadmill. The number of each foot strike runner was 12 for the forefoot (29.3%), 12 for the midfoot (29.3%) and 17 for the rearfoot (41.5%). No significant differences were observed in the variables measured for the Achilles tendon among the three groups. These results suggested that the foot strike pattern during running did not affect the morphological or mechanical properties of the Achilles tendon in long-distance runners.

  13. Spatial relationships and movement patterns of the air cargo industry in airport regions

    Directory of Open Access Journals (Sweden)

    Petrus J. van V. Coetzee

    2017-05-01

    Full Text Available Background: During the past few years, with the increase in air traffic and the expansion of airports, very few industries had such a large spatial development and movement impact as that of airport-related clusters or airport regions. Although much research was done on the various impacts of the airport industry, very little research was done on the air cargo industry in airport regions. Objectives: This article specifically explored the unique spatial relationships, impacts, trends and movement patterns of the air cargo industry within a typical airport region. Method: The article focused on the OR Tambo International Airport in Gauteng, South Africa, as a case study and was informed by an extensive quantitative spatial and land use analysis and modelling of the study area. Results: The article presented findings and insights on the movement patterns and relationships between (1 the airport facility and (2 the spatial configuration of air cargo industries in the particular airport region. These findings also provided some framework for a possible spatial model and guideline that could assist in steering and managing development and movement patterns in airport regions. Conclusion: The article provided new insights and understanding on the spatial dynamics of airport regions and the air cargo industry, ultimately addressing some gaps in this knowledge field. The article in the end highlighted the need for a different and novel approach to the planning and management of the air cargo industry in airport regions and a basis for further research.

  14. Lack of strategy holding: a new pattern of learning deficit in cortical dementias.

    Science.gov (United States)

    Benedet, María J; Lauro-Grotto, Rosapia; Giotti, Chiara

    2009-09-01

    The aim of this study was to demonstrate, by means of systematic research and qualitative data analysis, the presence, among a group of patients with fronto-temporal lobar degeneration of a subgroup that, at variance with the standard pattern, is able to devise and implement learning strategies, but appear impaired at carrying them on from a trial to the next. In order to provide evidence of the existence of a group of patients showing this type of learning disability, that we refer to as lack of strategy holding, we performed a stepwise hierarchical cluster analysis of a set of variables whose scores were selected from the subject's performance at the Test de Aprendizaje Verbal España-Complutense. Results substantiate the segregation of three groups of subjects characterized by the following patterns of performance: normal elderly individuals, who show a quite preserved ability to discover a semantic strategy along the learning trials and to carry it from a trial to the next, patients presenting with a deficit in implementing semantic learning strategies and possibly use of serial and/or phonological strategies to perform the task, and to patients who, although able to generate and implement appropriate learning strategies, appear unable to carry them over the learning trials. The presence of this new pattern raises a few questions that seem worth trying to address.

  15. A pedagogical design pattern framework for sharing experiences and enhancing communities of practice within online and blended learning

    DEFF Research Database (Denmark)

    May, Michael; Neutszky-Wulff, Chresteria; Rosthøj, Susanne

    2016-01-01

    for teachers at the University of Copenhagen a new and simpler pedagogical design pattern framework was developed for interfaculty sharing of experiences and enhancing communities of practice in relation to online and blended learning across the university. The framework of pedagogical design patterns were...... applied to describe the learning design in four online and blended learning courses within different academic disciplines: Classical Greek, Biostatistics, Environmental Management in Europe, and Climate Change Impacts, Adaptation and Mitigation. Future perspectives for using the framework for developing...... new E-learning patterns for online and blended learning courses are discussed....

  16. 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...

  17. The Relationship between Learning Styles and Leadership Orientations of Pre-Service Teachers

    OpenAIRE

    Arslan, Hasan; Uslu, Barış

    2014-01-01

    This research aims to determine the relationship between learning styles and leadership orientations of pre-service teachers. In the research process, the data collection tool consists of “Learning Styles” and “Leadership Orientations” scales and the personal information form was applied to 452 pre-service teachers. Pearson Product Moment Correlation Analysis; to determine the relationship between the variables, and Multiple Linear Regression Analysis; to examine the predictive strength of le...

  18. Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars

    Directory of Open Access Journals (Sweden)

    Augusto Cortez Vasquez

    2015-01-01

    Full Text Available One issue of real interest in the area of web data mining is to capture users’ activities during connection and extract behavior patterns that help define their preferences in order to improve the design of future pages adapting websites interfaces to individual users. This research is intended to provide, first of all, a presentation of the methodological foundations of the use of probabilistic languages to identify relevant or most visited websites. Secondly, the web sessions are represented by graphs and probabilistic context-free grammars so that the sessions that have the highest probabilities are considered the most visited and most preferred, therefore, the most important in relation to a particular topic. It aims to develop a tool for processing web sessions obtained from a log server represented by probabilistic context-free grammars.

  19. A Meta-Analysis of the Relationship between E-Learning and Students' Academic Achievement in Higher Education

    Science.gov (United States)

    Mothibi, Gloria

    2015-01-01

    E-learning is substantially becoming a popular effective learning approach within greater academic settings due to high use of web systems in learning. E-learning involves utilization of information and communication technology (ICT) to improve and help teaching and learning. The aim of this study was to estimate the relationship between…

  20. The relationship between learning preferences (styles and approaches) and learning outcomes among pre-clinical undergraduate medical students.

    Science.gov (United States)

    Liew, Siaw-Cheok; Sidhu, Jagmohni; Barua, Ankur

    2015-03-11

    Learning styles and approaches of individual undergraduate medical students vary considerably and as a consequence, their learning needs also differ from one student to another. This study was conducted to identify different learning styles and approaches of pre-clinical, undergraduate medical students and also to determine the relationships of learning preferences with performances in the summative examinations. A cross-sectional study was conducted among randomly selected 419 pre-clinical, undergraduate medical students of the International Medical University (IMU) in Kuala Lumpur. The number of students from Year 2 was 217 while that from Year 3 was 202. The Visual, Auditory, Read/Write, Kinesthetic (VARK) and the Approaches and Study Skills Inventory for Students (ASSIST) questionnaires were used for data collection. This study revealed that 343 students (81.9%) had unimodal learning style, while the remaining 76 (18.1%) used a multimodal learning style. Among the unimodal learners, a majority (30.1%) were of Kinesthetic (K) type. Among the middle and high achievers in summative examinations, a majority had unimodal (Kinaesthetic) learning style (30.5%) and were also strategic/deep learners (79.4%). However, the learning styles and approaches did not contribute significantly towards the learning outcomes in summative examinations. A majority of the students in this study had Unimodal (Kinesthetic) learning style. The learning preferences (styles and approaches) did not contribute significantly to the learning outcomes. Future work to re-assess the viability of these learning preferences (styles and approaches) after the incorporation of teaching-learning instructions tailored specifically to the students will be beneficial to help medical teachers in facilitating students to become more capable learners.

  1. The relationship between emotional intelligence and learning outcomes, and the mediating role of emotional conflict

    OpenAIRE

    Hjertø, Kjell B.

    2010-01-01

    A field sample of 1100 employees in the army was investigated to study the relationship between the individuals’ self reported emotional intelligence and learning outcomes in work groups, with two dimensions of emotional conflict as mediators, emotional person conflict and emotional task conflict. Most importantly, emotional intelligence predicted positively learning outcomes and emotional task conflict, and predicted negatively emotional person conflict. Further, emotional task ...

  2. The Relationship between Writing Anxiety and Learning Styles among Graduate Students.

    Science.gov (United States)

    Onwuegbuzie, Anthony J.

    1998-01-01

    Examines the relationship between learning styles and writing anxiety with female (n=72) and male (n=18) graduate students. Findings reveal that students with the highest levels of writing anxiety tended to be those who prefer to learn in warm environments, lacked self-motivation, liked structure, were peer-oriented learners, were…

  3. The impact of learning communities on interpersonal relationships among medical students.

    Science.gov (United States)

    Champaloux, Eve Privman; Keeley, Meg G

    2016-01-01

    Medical students at the University of Virginia (UVA) are mentored and learn within the framework of a four college learning community. Uniquely, these learning communities are used to organize the third-year clerkship rotations. Students were surveyed after their first pre-clinical year and after their clerkship year to determine what the effect of the learning community was on their social and educational interpersonal relationships. Students knew a higher percentage of their college mates after completing their third-year clerkships within the framework of the college system. Students chose peers from within the college system for social and educational interpersonal scenarios statistically more often than what would be expected at random. Small group learning environments that were not formed within the framework of the college system at UVA did not have the same effect on interpersonal relationships, indicating that learning communities are uniquely able to provide a context for relationship building. Students felt more positively about the social and educational effects of the college system after the clerkship year, with a corresponding increase in the strength of their interpersonal bonds with their college peers. This work is the first to investigate the effects of learning communities on interpersonal relationships among medical students and finds that learning communities positively impact both social and educational medical student bonds.

  4. The Relationships between Language Learning Strategies and Positive Emotions among Malaysian ESL Undergraduates

    Science.gov (United States)

    Mohammadipour, Mohammad; Rashid, Sabariah Md; Rafik-Galea, Shameem; Thai, Yap Ngee

    2018-01-01

    Emotions are an indispensable part of second language learning. The aim of this study is to determine the relationship between the use of language learning strategies and positive emotions. The present study adopted a sequential mixed methods design. The participants were 300 Malaysian ESL undergraduates selected through stratified random sampling…

  5. Learning Styles and Their Relationship to Stress and Coping in College Women

    Science.gov (United States)

    Vaughn, L. M.; Hensley, B.; Baker, R. C.; Dearman, L.

    2010-01-01

    The authors examined the relationship between specific learning styles and stress and coping in a sample of female college students (N = 246). Participants in the study were assessed on the three variables by completing several self-report instruments measuring learning styles, life stress level, and coping skills. There were significant…

  6. The Relationships among Middle School Students' Motivational Orientations, Learning Strategies, and Academic Achievement

    Science.gov (United States)

    McClintic-Gilbert, Megan S.; Corpus, Jennifer Henderlong; Wormington, Stephanie V.; Haimovitz, Kyla

    2013-01-01

    The present study examined the extent to which middle school students' (N = 90) learning strategies mediated the relationship between their motivational orientations and academic achievement. Survey data revealed that higher degrees of intrinsic motivation predicted the use of both deep and surface learning strategies, whereas higher degrees of…

  7. An Investigation of Relationships among Instructor Immediacy and Affective and Cognitive Learning in the Online Classroom

    Science.gov (United States)

    Baker, Jason D.

    2004-01-01

    A significant body of literature has supported the assertion that communication in the classroom is central to the learning process. Prosocial behaviors, such as nonverbal and verbal immediacy, have been found to promote affective and cognitive learning in traditional instructional settings. This study examined the relationships among instructor…

  8. Examining the Mediating Effect of Learning Strategies on the Relationship between Students' History Interest and Achievement

    Science.gov (United States)

    Dan, Yongjun; Todd, Reese

    2014-01-01

    Research into the effect of interest consistently indicated that interest positively related to students' achievement; however, the mechanism through which it affected the learning result remained an open question. This study intended to examine how learning strategies mediated the relationship between interest and achievement in the domain of…

  9. A Relationship Study of Student Satisfaction with Learning Online and Cognitive Load: Initial Results

    Science.gov (United States)

    Bradford, George R.

    2011-01-01

    This study sought to explore if a relationship exists between cognitive load and student satisfaction with learning online. The study separates academic performance (a.k.a., "learning") from cognitive load and satisfaction to better distinguish influences on cognition (from cognitive load) and motivation (from satisfaction). Considerations that…

  10. Relationship between Lifelong Learning Levels and Information Literacy Skills in Teacher Candidates

    Science.gov (United States)

    Solmaz, Dilek Yaliz

    2017-01-01

    This study aims to examine the relationship between lifelong learning levels and information literacy skills in teacher candidates. The research group consists of 127 physical education and sports teacher candidates. Data were collected by means of "Lifelong Learning Scale (LLL)" and "Information Literacy Scale". In the data…

  11. 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)

  12. The relationship between students’ perceptions of portfolio assessment practice and their approaches to learning

    NARCIS (Netherlands)

    Segers, M.S.R.; Gijbels, D.; Thurlings, M.C.G.

    2008-01-01

    This study focuses on students’ learning approaches in the context of a competency-based program on Applied Sciences, with portfolio assessment as its core mode of assessment. The study examines students’ perceptions of these assessment practices and the relationships to their learning approaches.

  13. The Relationship between the Big-Five Model of Personality and Self-Regulated Learning Strategies

    Science.gov (United States)

    Bidjerano, Temi; Dai, David Yun

    2007-01-01

    The study examined the relationship between the big-five model of personality and the use of self-regulated learning strategies. Measures of self-regulated learning strategies and big-five personality traits were administered to a sample of undergraduate students. Results from canonical correlation analysis indicated an overlap between the…

  14. Relationships among Organizational Commitment, Job Satisfaction, and Learning Organization Culture in One Korean Private Organization

    Science.gov (United States)

    Lim, Taejo

    2010-01-01

    The purpose of this study is to identify dynamic relationships among organizational commitment, job satisfaction, and learning organization culture in a Korean private company. Using a sample of 669 employees from five subsidiaries of a Korean conglomerate, this research found that learning organization culture is moderately and positively related…

  15. 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

  16. Machine learning and pattern recognition from surface molecular architectures.

    Science.gov (United States)

    Maksov, Artem; Ziatdinov, Maxim; Fujii, Shintaro; Sumpter, Bobby; Kalinin, Sergei

    The ability to utilize molecular assemblies as data storage devices requires capability to identify individual molecular states on a scale of thousands of molecules. We present a novel method of applying machine learning techniques for extraction of positional and rotational information from ultra-high vacuum scanning tunneling microscopy (STM) images and apply it to self-assembled monolayer of π-bowl sumanene molecules on gold. From density functional theory (DFT) simulations, we assume existence of distinct polar and multiple azimuthal rotational states. We use DFT-generated templates in conjunction with Markov Chain Monte Carlo (MCMC) sampler and noise modeling to create synthetic images representative of our model. We extract positional information of each molecule and use nearest neighbor criteria to construct a graph input to Markov Random Field (MRF) model to identify polar rotational states. We train a convolutional Neural Network (cNN) on a synthetic dataset and combine it with MRF model to classify molecules based on their azimuthal rotational state. We demonstrate effectiveness of such approach compared to other methods. Finally, we apply our approach to experimental images and achieve complete rotational class information extraction. This research was sponsored by the Division of Materials Sciences and Engineering, Office of Science, Basic Energy Sciences, US DOE.

  17. Student Achievement in Basic College Mathematics: Its Relationship to Learning Style and Learning Method

    Science.gov (United States)

    Gunthorpe, Sydney

    2006-01-01

    From the assumption that matching a student's learning style with the learning method best suited for the student, it follows that developing courses that correlate learning method with learning style would be more successful for students. Albuquerque Technical Vocational Institute (TVI) in New Mexico has attempted to provide students with more…

  18. Investigating the Relationship between Learning Styles and ESP Reading Strategies in Academic Setting

    Directory of Open Access Journals (Sweden)

    Parviz Ajideh

    2018-05-01

    Full Text Available The present study investigated the relationship between Art and Science students’ learning styles and their ESP reading strategies in academic settings. Learning styles are defined as general orientations learners take toward their learning experiences. This notion has recently obtained attention in the area of language learning. Strategies are also defined as specific behaviours or techniques learners employ towards leaning in order to achieve their learning goals. The strategies chosen are often linked to the individual's learning style. The purpose of this study was to identify Art and Science students’ major learning style preferences and their strategies they employ to tackle their reading materials in ESP courses at Tabriz Islamic Art University. To this end, 313 Art and Science students at Tabriz Islamic Art University answered two self-report questionnaires (PLSPQ and SORS to identify their major and minor learning styles as well as their reading strategies in ESP reading. In order to find any relationship between the students’ preferred learning style (s and their reading strategies in ESP, Pearson Product Moment Coefficient r was used to analyze the participants’ answers to the questionnaires. The results showed that Art students favored Kinesthetic, Auditory, Visual and Tactile learning styles as their major learning styles while Science students showed preference to only Kinesthetic Learning style as their major learning style and other learning styles as their minor ones. It was also found that the most dominant reading strategies both Art and Science students apply in reading their ESP texts was cognitive strategies. Correlational analyses of their major learning styles and their reading strategies are discussed.

  19. Self-regulated learning strategies used in surgical clerkship and the relationship with clinical achievement.

    Science.gov (United States)

    Turan, Sevgi; Konan, Ali

    2012-01-01

    Self-regulated learning indicates students' skills in controlling their own learning. Self-regulated learning, which a context-specific process, emphasizes autonomy and control. Students gain more autonomy with respect to learning in the clinical years. Examining the self-regulated learning skills of students in this period will provide important clues about the level at which students are ready to use these skills in real-life conditions. The self-regulated learning strategies used by medical students in surgical clerkship were investigated in this study and their relation with clinical achievement was analyzed. The study was conducted during the surgery clerkship of medical students. The participation rate was 94% (309 students). Motivated Strategies for Learning Questionnaire (MSLQ), a case-based examination, Objective Structured Clinical Examination (OSCE), and tutor evaluations for assessing achievement were used. The relationship between the Motivated Strategies for Learning Questionnaire scores of the students and clinical achievement was analyzed with multilinear regression analysis. The findings showed that students use self-regulated learning skills at medium levels during their surgery clerkship. A relationship between these skills and OSCE scores and tutor evaluations was determined. OSCE scores of the students were observed to increase in conjunction with increased self-efficacy levels. However, as students' beliefs regarding control over learning increased, OSCE scores decreased. No significant relationship was defined between self-regulated learning skills and case-based examination scores. We observed that a greater self-efficacy for learning resulted in higher OSCE scores. Conversely, students who believe that learning is a result of their own effort had lower OSCE scores. Copyright © 2012 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  20. Understanding the relationship between student attitudes and student learning

    Science.gov (United States)

    Cahill, Michael J.; McDaniel, Mark A.; Frey, Regina F.; Hynes, K. Mairin; Repice, Michelle; Zhao, Jiuqing; Trousil, Rebecca

    2018-02-01

    Student attitudes, defined as the extent to which one holds expertlike beliefs about and approaches to physics, are a major research topic in physics education research. An implicit but rarely tested assumption underlying much of this research is that student attitudes play a significant part in student learning and performance. The current study directly tested this attitude-learning link by measuring the association between incoming attitudes (Colorado Learning Attitudes about Science Survey) and student learning during the semester after statistically controlling for the effects of prior knowledge [early-semester Force Concept Inventory (FCI) or Brief Electricity and Magnetism Assessment (BEMA)]. This study spanned four different courses and included two complementary measures of student knowledge: late-semester concept inventory scores (FCI or BEMA) and exam averages. In three of the four courses, after controlling for prior knowledge, attitudes significantly predicted both late-semester concept inventory scores and exam averages, but in all cases these attitudes explained only a small amount of variance in concept-inventory and exam scores. Results indicate that after accounting for students' incoming knowledge, attitudes may uniquely but modestly relate to how much students learn and how well they perform in the course.

  1. A cross-cultural comparison of student learning patterns in higher education

    NARCIS (Netherlands)

    Marambe, Kosala; Vermunt, Jan; Boshuizen, Els

    2012-01-01

    Marambe, K. N., Vermunt, J. D., & Boshuizen, H. P. A. (2012). A cross-cultural comparison of student learning patterns in higher education. Higher Education, 64(3), 299-316. doi:10.1007/s10734-011-9494-z

  2. Student Media Usage Patterns and Non-Traditional Learning in Higher Education

    Science.gov (United States)

    Zawacki-Richter, Olaf; Müskens, Wolfgang; Krause, Ulrike; Alturki, Uthman; Aldraiweesh, Ahmed

    2015-01-01

    A total of 2,338 students at German universities participated in a survey, which investigated media usage patterns of so-called traditional and non-traditional students (Schuetze & Wolter, 2003). The students provided information on the digital devices that they own or have access to, and on their usage of media and e-learning tools and…

  3. Online Learners' Navigational Patterns Based on Data Mining in Terms of Learning Achievement

    Science.gov (United States)

    Keskin, Sinan; Sahin, Muhittin; Ozgur, Adem; Yurdugul, Halil

    2016-01-01

    The aim of this study is to determine navigational patterns of university students in a learning management system (LMS). It also investigates whether online learners' navigational behaviors differ in terms of their academic achievement (pass, fail). The data for the study comes from 65 third grade students enrolled in online Computer Network and…

  4. Exploring the Argumentation Pattern in Modeling-Based Learning about Apparent Motion of Mars

    Science.gov (United States)

    Park, Su-Kyeong

    2016-01-01

    This study proposed an analytic framework for coding students' dialogic argumentation and investigated the characteristics of the small-group argumentation pattern observed in modeling-based learning. The participants were 122 second grade high school students in South Korea divided into an experimental and a comparison group. Modeling-based…

  5. Precise-spike-driven synaptic plasticity: learning hetero-association of spatiotemporal spike patterns.

    Directory of Open Access Journals (Sweden)

    Qiang Yu

    Full Text Available A new learning rule (Precise-Spike-Driven (PSD Synaptic Plasticity is proposed for processing and memorizing spatiotemporal patterns. PSD is a supervised learning rule that is analytically derived from the traditional Widrow-Hoff rule and can be used to train neurons to associate an input spatiotemporal spike pattern with a desired spike train. Synaptic adaptation is driven by the error between the desired and the actual output spikes, with positive errors causing long-term potentiation and negative errors causing long-term depression. The amount of modification is proportional to an eligibility trace that is triggered by afferent spikes. The PSD rule is both computationally efficient and biologically plausible. The properties of this learning rule are investigated extensively through experimental simulations, including its learning performance, its generality to different neuron models, its robustness against noisy conditions, its memory capacity, and the effects of its learning parameters. Experimental results show that the PSD rule is capable of spatiotemporal pattern classification, and can even outperform a well studied benchmark algorithm with the proposed relative confidence criterion. The PSD rule is further validated on a practical example of an optical character recognition problem. The results again show that it can achieve a good recognition performance with a proper encoding. Finally, a detailed discussion is provided about the PSD rule and several related algorithms including tempotron, SPAN, Chronotron and ReSuMe.

  6. Precise-spike-driven synaptic plasticity: learning hetero-association of spatiotemporal spike patterns.

    Science.gov (United States)

    Yu, Qiang; Tang, Huajin; Tan, Kay Chen; Li, Haizhou

    2013-01-01

    A new learning rule (Precise-Spike-Driven (PSD) Synaptic Plasticity) is proposed for processing and memorizing spatiotemporal patterns. PSD is a supervised learning rule that is analytically derived from the traditional Widrow-Hoff rule and can be used to train neurons to associate an input spatiotemporal spike pattern with a desired spike train. Synaptic adaptation is driven by the error between the desired and the actual output spikes, with positive errors causing long-term potentiation and negative errors causing long-term depression. The amount of modification is proportional to an eligibility trace that is triggered by afferent spikes. The PSD rule is both computationally efficient and biologically plausible. The properties of this learning rule are investigated extensively through experimental simulations, including its learning performance, its generality to different neuron models, its robustness against noisy conditions, its memory capacity, and the effects of its learning parameters. Experimental results show that the PSD rule is capable of spatiotemporal pattern classification, and can even outperform a well studied benchmark algorithm with the proposed relative confidence criterion. The PSD rule is further validated on a practical example of an optical character recognition problem. The results again show that it can achieve a good recognition performance with a proper encoding. Finally, a detailed discussion is provided about the PSD rule and several related algorithms including tempotron, SPAN, Chronotron and ReSuMe.

  7. Towards Semantic Analysis of Training-Learning Relationships within Human-Machine Interactions

    DEFF Research Database (Denmark)

    Badie, Farshad

    2016-01-01

    In this article First-Order Predicate Logic (FOL) is employed for analysing some relationships between human beings and machines. Based on FOL, I will be conceptually and logically concerned with semantic analysis of training-learning relationships in human-machine interaction. The central focus...

  8. Equal Partners. Austin Teenagers Learn To Expect Respect in Dating Relationships.

    Science.gov (United States)

    Harrison, Mary M.

    1997-01-01

    Describes the Teen Dating Violence Project, a 24-week program in the Austin (Texas) schools that offers single sex support groups for young men and women involved in violent relationships. Learning to build equitable and respectful relationships often involves unlearning gender stereotypes, but the program shows that attitudes can change. (SLD)

  9. How Patterns of Learning About Sexual Information Among Adolescents Are Related to Sexual Behaviors.

    Science.gov (United States)

    Bleakley, Amy; Khurana, Atika; Hennessy, Michael; Ellithorpe, Morgan

    2018-03-01

    Parents, peers and media are informal sources of sexual information for adolescents. Although the content of sexual information communicated by these sources is known to vary, little is known about what adolescents report actually learning from each source. Data from 1,990 U.S.14-17-year-olds who participated in an online survey in 2015 were used to assess learning about four topics (sex, condoms, hormonal birth control and romantic relationships) from three informal sources (parents, peers, and television and movies). Gender and race differences in learning by source and topic were assessed using t tests. Following a factor analysis, learning about all topics was grouped by source, and regression analyses were conducted to examine associations between learning from each source and three outcomes: sexual activity, condom use and hormonal birth control use. Models included interactions between information sources and race and gender. White adolescents reported learning more from parents and less from media than black adolescents. Compared with males, females learned more about hormonal birth control and less about condoms from their parents, and more about relationships from peers and media. Learning from parents and from peers were positively associated with adolescents' sexual activity (unstandardized coefficients, 0.26 and 0.52, respectively). Learning from parents was positively associated with condom use (odds ratio, 1.5). Adolescents' learning about sex from informal sources varies by race and gender. Future research should examine whether sexual health interventions and message development can capitalize on these differences. Copyright © 2018 by the Guttmacher Institute.

  10. Dual-modality impairment of implicit learning of letter-strings versus color-patterns in patients with schizophrenia

    OpenAIRE

    Chiu, Ming-Jang; Liu, Kristina; Hsieh, Ming H; Hwu, Hai-Gwo

    2005-01-01

    Abstract Background Implicit learning was reported to be intact in schizophrenia using artificial grammar learning. However, emerging evidence indicates that artificial grammar learning is not a unitary process. The authors used dual coding stimuli and schizophrenia clinical symptom dimensions to re-evaluate the effect of schizophrenia on various components of artificial grammar learning. Methods Letter string and color pattern artificial grammar learning performances were compared between 63...

  11. Exploring Conceptions about Writing and Learning: Undergraduates' Patterns of Beliefs and the Quality of Academic Writing (Acercamiento a las concepciones sobre la escritura y el aprendizaje: patrones de creencias de los universitarios y la calidad de su redacción académica)

    Science.gov (United States)

    Martínez-Fernández, J. R.; Corcelles, M.; Bañales, G.; Castelló, M.; Gutiérrez-Braojos, C.

    2016-01-01

    Introduction: In this study, the conceptions of learning and writing of a group of undergraduates enrolled in a teacher education programme were identified. The relationship between them were analysed, and a set of patterns of beliefs about learning and writing were defined. Finally, the relation between these patterns and the quality of a text…

  12. Learning Strategies of Physics Teacher Candidates: Relationships with Physics Achievement and Class Level

    Science.gov (United States)

    Selçuk, Gamze S.; Çalişkan, Serap; Erol, Mustafa

    2007-04-01

    Learning strategy concept was introduced in the education field from the development of cognitive psychology. Learning strategies are behaviors and thoughts that a learner engages in during learning which are intended to influence the learner's encoding process. Literature on learning strategies in physics field is very scarce. Participants of the research consist of teacher candidates (n=137) from 1st, 2nd, 3rd, 4th and 5th grade attending Department of Physics Education, Education Faculty of Buca, Dokuz Eylül University in Turkey. Data of this research was collected by ``Scale of Learning Strategies Usage in Physics'' (Cronbach's Alpha=0.93). Mean, Standard Deviation, Analysis of Variance were used to analyze the research data. This paper reports on teacher candidates' learning strategies used in physics education The paper investigates the relationships between learning strategies and physics achievement, class level. Some important outcomes of the research are presented, discussed and certain suggestions are made.

  13. Relationship between musical characteristics and temporal breathing pattern in piano performance

    Directory of Open Access Journals (Sweden)

    Yutaka Sakaguchi

    2016-07-01

    Full Text Available Although there is growing evidence that breathing is modulated by various motor and cognitive activities, the nature of breathing in musical performance has been little explored. The present study examined the temporal breath pattern in piano performance, aiming to elucidate how breath timing is related to musical organization/events and performance. In the experiments, the respiration of 15 professional and amateur pianists, playing 10 music excerpts in total (from four-octave C major scale, Hanon’s exercise, J. S. Bach’s Invention, Mozart’s Sonatas, and Debussy’s Clair de lune, was monitored by capnography. The relationship between breathing and musical characteristics was analyzed. Five major results were obtained. 1 Mean breath interval was shortened for excerpts in faster tempi. 2 Fluctuation of breath intervals was reduced for the pieces for finger exercise and those in faster tempi. Pianists showing large within-trial fluctuation also exhibited large inter-excerpt difference. 3 Inter-trial consistency of the breath patterns depended on the excerpts. Consistency was generally reduced for the excerpts that could be performed mechanically (i.e., pieces for finger exercise, but interestingly, one third of the participant showed consistent patterns for the simple scale, correlated with the ascending/descending sequences. 4 Pianists tended to exhale just after the music onsets, inhale at the rests, and inhibit inhale during the slur parts. There was correlation between breathing pattern and two-voice polyphonic structure for several participants. 5 Respiratory patterns were notably different among the pianists. Every pianist showed his or her own characteristic features commonly for various musical works. These findings suggest that breathing in piano performance depends not only on musical parameters and organization written in the score but also some pianist-dependent factors which might be ingrained to individual pianists.

  14. Relationship between Musical Characteristics and Temporal Breathing Pattern in Piano Performance.

    Science.gov (United States)

    Sakaguchi, Yutaka; Aiba, Eriko

    2016-01-01

    Although there is growing evidence that breathing is modulated by various motor and cognitive activities, the nature of breathing in musical performance has been little explored. The present study examined the temporal breath pattern in piano performance, aiming to elucidate how breath timing is related to musical organization/events and performance. In the experiments, the respiration of 15 professional and amateur pianists, playing 10 music excerpts in total (from four-octave C major scale, Hanon's exercise, J. S. Bach's Invention, Mozart's Sonatas, and Debussy's Clair de lune), was monitored by capnography. The relationship between breathing and musical characteristics was analyzed. Five major results were obtained. (1) Mean breath interval was shortened for excerpts in faster tempi. (2) Fluctuation of breath intervals was reduced for the pieces for finger exercise and those in faster tempi. Pianists showing large within-trial fluctuation also exhibited large inter-excerpt difference. (3) Inter-trial consistency of the breath patterns depended on the excerpts. Consistency was generally reduced for the excerpts that could be performed mechanically (i.e., pieces for finger exercise), but interestingly, one third of the participant showed consistent patterns for the simple scale, correlated with the ascending/descending sequences. (4) Pianists tended to exhale just after the music onsets, inhale at the rests, and inhibit inhale during the slur parts. There was correlation between breathing pattern and two-voice polyphonic structure for several participants. (5) Respiratory patterns were notably different among the pianists. Every pianist showed his or her own characteristic features commonly for various musical works. These findings suggest that breathing in piano performance depends not only on musical parameters and organization written in the score but also some pianist-dependent factors which might be ingrained to individual pianists.

  15. Reverse inference of memory retrieval processes underlying metacognitive monitoring of learning using multivariate pattern analysis.

    Science.gov (United States)

    Stiers, Peter; Falbo, Luciana; Goulas, Alexandros; van Gog, Tamara; de Bruin, Anique

    2016-05-15

    Monitoring of learning is only accurate at some time after learning. It is thought that immediate monitoring is based on working memory, whereas later monitoring requires re-activation of stored items, yielding accurate judgements. Such interpretations are difficult to test because they require reverse inference, which presupposes specificity of brain activity for the hidden cognitive processes. We investigated whether multivariate pattern classification can provide this specificity. We used a word recall task to create single trial examples of immediate and long term retrieval and trained a learning algorithm to discriminate them. Next, participants performed a similar task involving monitoring instead of recall. The recall-trained classifier recognized the retrieval patterns underlying immediate and long term monitoring and classified delayed monitoring examples as long-term retrieval. This result demonstrates the feasibility of decoding cognitive processes, instead of their content. Copyright © 2016 Elsevier Inc. All rights reserved.

  16. Spiritual well-being in individuals with fibromyalgia syndrome: relationships with symptom pattern variability, uncertainty, and psychosocial adaptation.

    Science.gov (United States)

    Anema, Cheryl; Johnson, Mary; Zeller, Janice M; Fogg, Louis; Zetterlund, Joan

    2009-01-01

    This study examined relationships among symptom pattern variability, uncertainty, spiritual well-being, and psychosocial adaptation in individuals with fibromyalgia syndrome (FMS). A survey design was used with 58 individuals with FMS. The Fibromyalgia Symptom Pattern Questionnaire, Mishel Uncertainty in Illness Scale--Community Form, Spiritual Well-Being Scale, and Psychosocial Adjustment to Illness Scale-Self Report were used to collect data. Positive relationships were found between symptom pattern variability and uncertainty and between uncertainty and poor psychosocial adaptation; spiritual well-being moderated the relationship between uncertainty and psychosocial adaptation. A positive sense of well-being aided adaptation to symptoms and uncertainties of FMS. Spiritual well-being had a greater effect on the relationship between symptom pattern variability and uncertainty than expected.

  17. The Relationship between Defense Patterns and DSM-5 Maladaptive Personality Domains

    Science.gov (United States)

    Granieri, Antonella; La Marca, Luana; Mannino, Giuseppe; Giunta, Serena; Guglielmucci, Fanny; Schimmenti, Adriano

    2017-01-01

    Aim: Research has extensively examined the relationship between defense mechanisms (DM) and personality traits. However, no study to date has explored if specific defenses (alone or in combination) are able to predict dysfunctional variants of personality domains, as conceived in the alternative DSM-5 model for personality disorders. This study aimed to investigate the relationship between DMs and DSM-5 maladaptive personality domains among adults. Materials and Methods: Three hundred and twenty-eight adults aged between 18 and 64 years old completed measures on DMs and maladapive personality domains. Regression analyses were performed to determine which DMs predicted the maladaptive personality domains of negative affectivity, detachment, antagonism, disinhibition, and psychoticism. Results: According to psychoanalytic literature, results showed that immature defenses positively predicted maladaptive personality domain scores, whereas mature defenses were generally related with better personality functioning. Moreover, different defense patterns emerged as significant predictors of the maladaptive personality domains comprised in the alternative DSM-5 model for personality disorder. Discussion: Our findings support the view that defense patterns represent core components of personality and its disorders, and suggest that an increased use of immature defenses and a reduced use of mature defenses have a negative impact on the development of personality. PMID:29163301

  18. INVESTIGATION OF CONTINGENCY PATTERNS OF TEACHERS’ SCAFFOLDING IN TEACHING AND LEARNING MATHEMATICS

    Directory of Open Access Journals (Sweden)

    Anwar Anwar

    2016-12-01

    Full Text Available The purpose of this study is to investigate the patterns of scaffolding contingency in teaching and learning mathematics carried out by three teachers. Contingency patterns are obtained by examining the transcription from video recording of conversation fragments between teachers and students during the provision of scaffolding. The contingency patterns are drawn in three strategies: diagnostic strategy, intervention strategy, and checking diagnosis. The result shows that the three teachers expressed different interaction contingencies in their scaffolding activities: contingent dominant, non-contingent dominant, and pseudo-contingent. It is also found that the learning interaction performed by experienced teachers tends to be contingent dominant compared to novice teachers. Keywords: Contingency, Contingent Dominant, Non-Contingent Dominant, Pseudo Contingent, Scaffolding DOI: http://dx.doi.org/10.22342/jme.8.1.3410.65-76

  19. Examining the Relationship between Communication Patterns of Source Family and Self-Consciousness with Defensive Styles of Discordant Couples

    OpenAIRE

    Ma’asoomeh Kheirkhah; Ebrahim Namani

    2016-01-01

    Research has shown the relationship between communication patterns of source family with defensive styles of discordant couples. For this reason, the present research has examined the relationship between communication patterns of source family and self-consciousness with defensive styles of discordant couples. This study is a descriptive-correlation type. Its population consisted of all discordant couples referred to counseling centers of Mashhad in 2015. Among the referred 140 disc...

  20. Autonomy in learning: a relationship between failure and success of Distance Education students

    Directory of Open Access Journals (Sweden)

    Adejalmo Moreira Abadi

    2016-05-01

    Full Text Available This paper presents the results of a research conducted with undergraduate students of distance education at face-to-face support learning centers of Roraima. The research aimed to analyze the relationship between autonomy in distance learning and students’ outcomes. The issue was to investigate which causes related to autonomy contributed to the low performance rate. The theoretical framework deals with Distance Education and autonomy in distance learning. It was a quali-quantitative research, delineated as a case study. The data analysis was structured in order to define the profile of the student, the factors that influence dropout and completion of the courses. The final remarks present evidence of interfering causes in the results and in the relationship with learning autonomy, involving students as learning structure, and the institution as teaching structure.

  1. Understanding the Relationship between Student Attitudes and Student Learning

    Science.gov (United States)

    Cahill, Michael J.; McDaniel, Mark A.; Frey, Regina F.; Hynes, K. Mairin; Repice, Michelle; Zhao, Jiuqing; Trousil, Rebecca

    2018-01-01

    Student attitudes, defined as the extent to which one holds expertlike beliefs about and approaches to physics, are a major research topic in physics education research. An implicit but rarely tested assumption underlying much of this research is that student attitudes play a significant part in student learning and performance. The current study…

  2. Relationship between Learning Problems and Attention Deficit in Childhood

    Science.gov (United States)

    Ponde, Milena Pereira; Cruz-Freire, Antonio Carlos; Silveira, Andre Almeida

    2012-01-01

    Objective: To assess the impact of attention deficit on learning problems in a sample of schoolchildren in the city of Salvador, Bahia, Brazil. Method: All students enrolled in selected elementary schools were included in this study, making a total of 774 children. Each child was assessed by his or her teacher using a standardized scale. "The…

  3. Distributed Leadership and Digital Collaborative Learning: A Synergistic Relationship?

    Science.gov (United States)

    Harris, Alma; Jones, Michelle; Baba, Suria

    2013-01-01

    This paper explores the synergy between distributed leadership and digital collaborative learning. It argues that distributed leadership offers an important theoretical lens for understanding and explaining how digital collaboration is best supported and led. Drawing upon evidence from two online educational platforms, the paper explores the…

  4. The Relationship between Organizational Learning and SME Performance in Poland

    Science.gov (United States)

    Michna, Anna

    2009-01-01

    Purpose: The purpose of this paper is to identify and define dimensions of organizational learning and the way it affects small- or medium-size enterprise (SME) performance. Design/methodology/approach: The empirical research is carried out in Polish SMEs (the sample size is 211 enterprises). In order to test the constructed hypotheses we use…

  5. Investigating a Relationship between Nonverbal Communication and Student Learning

    Science.gov (United States)

    York, Dustin

    2013-01-01

    Clear and effective communication is essential in today's society (Smith & Cotten, 1980; Smith & Land, 1981). Nonverbal communication specifically has a vital role in communication. There is inconsistent data on the effect of nonverbal communication used by instructors and the impact on student learning within the higher education…

  6. Institutional Continuity and Distance Learning: A Symbiotic Relationship

    Science.gov (United States)

    Bates, Rodger

    2013-01-01

    Universities and colleges have been developing institutional continuity plans to protect their ability to function within an environment of increasing uncertainties caused by natural and man-made disasters and events. Within the academic context, distance learning strategies have emerged as critical components for program continuity. This research…

  7. The Effects of Online Interactions on the Relationship between Learning-Related Anxiety and Intention to Persist among E-Learning Students with Visual Impairment

    Science.gov (United States)

    Oh, Yunjin; Lee, Soon Min

    2016-01-01

    This study explored whether learning-related anxiety would negatively affect intention to persist with e-learning among students with visual impairment, and examined the roles of three online interactions in the relationship between learning-related anxiety and intention to persist with e-learning. For this study, a convenience sample of…

  8. The Relationship Between Premenstrual Syndrome and Food Patterns in University Student Girls

    Directory of Open Access Journals (Sweden)

    Darabi

    2014-12-01

    Full Text Available Background Premenstrual syndrome (PMS is a group of disorders that many girls and women suffer from. It is well known that an appropriate diet as well as environmental factors plays a major role in quality of life. Objectives This study evaluates food patterns for university student girls who suffer from PMS and are healthy. Materials and Methods Eighty-six university student girls from Ahvaz Jundishapur University of Medical Sciences participated in the survey and PMS was diagnosed using the diagnostic criteria of the American College of Obstetricians and Gynecologists. They completed a daily symptom-rating questionnaire for PMS symptoms. The score of categorical symptoms (mood-emotional and gastrointestinal disorders, pain, fatigue-focus, and other disorders were determined separately. Student food pattern was determined according to the Iranian food pyramid. The correlation between symptom scores and food group servings was determined by the Pearson correlation coefficient. Results The score for each categorical symptom showed significant differences between healthy and students who suffered from PMS (P < 0.001. A significant negative relationship was observed between milk consumption and pain score (P = 0.038, r = -0.224, and between total dairy consumption and pain score (P = 0.019, r = -0.253. Total disorder scores showed a significant negative relationship with total dairy product (P = 0.024, r = -0.243. Conclusions The results of the survey indicate that PMS symptoms are related to consuming less milk or dairy products. Therefore, an appropriate intake of foods according to standard food patterns (like the Iranian food pyramid is recommended.

  9. Analysis of spatial relationships in three dimensions: tools for the study of nerve cell patterning

    Directory of Open Access Journals (Sweden)

    Raven Mary A

    2008-07-01

    Full Text Available Abstract Background Multiple technologies have been brought to bear on understanding the three-dimensional morphology of individual neurons and glia within the brain, but little progress has been made on understanding the rules controlling cellular patterning. We describe new matlab-based software tools, now available to the scientific community, permitting the calculation of spatial statistics associated with 3D point patterns. The analyses are largely derived from the Delaunay tessellation of the field, including the nearest neighbor and Voronoi domain analyses, and from the spatial autocorrelogram. Results Our tools enable the analysis of the spatial relationship between neurons within the central nervous system in 3D, and permit the modeling of these fields based on lattice-like simulations, and on simulations of minimal-distance spacing rules. Here we demonstrate the utility of our analysis methods to discriminate between two different simulated neuronal populations. Conclusion Together, these tools can be used to reveal the presence of nerve cell patterning and to model its foundation, in turn informing on the potential developmental mechanisms that govern its establishment. Furthermore, in conjunction with analyses of dendritic morphology, they can be used to determine the degree of dendritic coverage within a volume of tissue exhibited by mature nerve cells.

  10. New insights into the phylogenetic relationships, character evolution, and phytogeographic patterns of Calceolaria (Calceolariaceae).

    Science.gov (United States)

    Cosacov, Andrea; Sérsic, Alicia N; Sosa, Victoria; De-Nova, J Arturo; Nylinder, Stephan; Cocucci, Andrea A

    2009-12-01

    Biogeographical patterns and diversification processes in Andean and Patagonian flora are not yet well understood. Calceolaria is a highly diversified genus of these areas, representing one of the most specialized plant-pollinator systems because flowers produce nonvolatile oils, a very unusual floral reward. Phylogenetic analyses with molecular (ITS and matK) and morphological characters from 103 Calceolaria species were conducted to examine relationships, to understand biogeographic patterns, and to detect evolutionary patterns of floral and ecological characters. Total evidence analysis retrieved three major clades, which strongly correspond to the three previously recognized subgenera, although only subgenus Rosula was retrieved as a monophyletic group. A single historical event explains the expansion from the southern to central Andes, while different parallel evolutionary lines show a northward expansion from the central to northern Andes across the Huancabamba Deflection, an important geographical barrier in northern Peru. Polyploidy, acquisition of elaiophores, and a nototribic pollination mechanism are key aspects of the evolutionary history of Calceolaria. Pollination interactions were more frequently established with Centris than with Chalepogenus oil-collecting bee species. The repeated loss of the oil gland and shifts to pollen as the only reward suggest an evolutionary tendency from highly to moderately specialized pollination systems.

  11. Tax-Exempt Hospitals' Investments in Community Health and Local Public Health Spending: Patterns and Relationships.

    Science.gov (United States)

    Singh, Simone R; Young, Gary J

    2017-12-01

    To investigate whether tax-exempt hospitals' investments in community health are associated with patterns of governmental public health spending focusing specifically on the relationship between hospitals' community benefit expenditures and the spending patterns of local health departments (LHDs). We combined data on tax-exempt hospitals' community benefit spending with data on spending by the corresponding LHD that served the county in which a hospital was located. Data were available for 2 years, 2009 and 2013. Generalized linear regressions were estimated with indicators of hospital community benefit spending as the dependent variable and LHD spending as the key independent variable. Hospital community benefit spending was unrelated to how much local public health agencies spent, per capita, on public health in their communities. Patterns of local public health spending do not appear to impact the investments of tax-exempt hospitals in community health activities. Opportunities may, however, exist for a more active engagement between the public and private sector to ensure that the expenditures of all stakeholders involved in community health improvement efforts complement one another. © Health Research and Educational Trust.

  12. Activity Pattern Profiles: Relationship With Affect, Daily Functioning, Impairment, and Variables Related to Life Goals.

    Science.gov (United States)

    Esteve, Rosa; López-Martínez, Alicia E; Peters, Madelon L; Serrano-Ibáñez, Elena R; Ruíz-Párraga, Gema T; González-Gómez, Henar; Ramírez-Maestre, Carmen

    2017-05-01

    The aim of this cross-sectional study was to identify subgroups of patients on the basis of their activity patterns and to investigate their relationship with life goals, optimism, affect, and functioning. The sample was comprised of 276 patients with chronic musculoskeletal pain. Hierarchical cluster analysis was performed on the activity pattern variables and the resulting clusters were compared using 1-way analysis of variance. The 4-cluster was the optimal solution. The 4 clusters comprised: 1) avoiders: patients with high levels of avoidance and low levels of persistence, who use pacing to reduce pain, 2) doers: patients with high levels of persistence and low levels of pacing and avoidance, 3) extreme cyclers: patients with high levels of avoidance and persistence and low levels of pacing, and 4) medium cyclers: patients with moderately high levels of avoidance and persistence and high levels of pacing. Comparison of the clusters showed that doers had the most adaptive profile, whereas avoiders, followed by extreme cyclers, had unhealthy profiles. Doers showed a high level of optimism and a good balance between goal value, expectancy, and conflict. It is useful to distinguish profiles on the basis of various activity patterns. In contrast to profiles characterized by avoidance, profiles characterized by high persistence and low avoidance were associated with adaptive results. Patients with this profile also showed a high level of optimism and a good balance between goal value, expectancy, and conflict. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  13. Patterns of Tight and Loose Coupling in a Competitive Marketplace: The Case of Learning Center Franchises

    Science.gov (United States)

    Aurini, Janice Danielle

    2012-01-01

    The concept of coupling--the relationship between the environment, administrative goals, and instructional practices of education organizations--is a staple in New Institutional research. Yet processes of coupling have remained elusive. Drawing on ethnographic research of the "Ontario Learning Center" (OLC) franchise, along with…

  14. Family relationships versus learning: an analysis with children aged 5 and 6 years

    Directory of Open Access Journals (Sweden)

    Marisa Claudia Jacometo Durante

    2017-01-01

    Full Text Available As the first mediator between man and culture, the family constitutes the dynamic unity of affective, social and cognitive relations that are immersed in the material, historical and cultural conditions of a given social group. The overall objective of the study was to investigate whether family relationships can compromise children’s learning. Specifically, it was intended to: a Identify conflicts in family relationships; B To verify if the conflicts in the family relations can compromise the interpersonal relationship of the children in the literacy phase; C Analyze whether conflicts in family relationships interfere with children’s learning. A total of 219 families with children aged 5 and 6 participated in the study. The main results indicate that there is a distancing of the parents in relation to the school life of the children, as well as in the family relationships there is a mixture of conflict and affection. It is considered that the learning of children can be compromised by conflicts in family relationships because learning and school performance depend primarily on family interaction and later on the relationship between teacher-student.

  15. Learning to spell from reading: general knowledge about spelling patterns influences memory for specific words.

    Science.gov (United States)

    Pacton, Sébastien; Borchardt, Gaëlle; Treiman, Rebecca; Lété, Bernard; Fayol, Michel

    2014-05-01

    Adults often learn to spell words during the course of reading for meaning, without intending to do so. We used an incidental learning task in order to study this process. Spellings that contained double n, r and t which are common doublets in French, were learned more readily by French university students than spellings that contained less common but still legal doublets. When recalling or recognizing the latter, the students sometimes made transposition errors, doubling a consonant that often doubles in French rather than the consonant that was originally doubled (e.g., tiddunar recalled as tidunnar). The results, found in three experiments using different nonwords and different types of instructions, show that people use general knowledge about the graphotactic patterns of their writing system together with word-specific knowledge to reconstruct spellings that they learn from reading. These processes contribute to failures and successes in memory for spellings, as in other domains.

  16. Features of an effective operative dentistry learning environment: students' perceptions and relationship with performance.

    Science.gov (United States)

    Suksudaj, N; Lekkas, D; Kaidonis, J; Townsend, G C; Winning, T A

    2015-02-01

    Students' perceptions of their learning environment influence the quality of outcomes they achieve. Learning dental operative techniques in a simulated clinic environment is characterised by reciprocal interactions between skills training, staff- and student-related factors. However, few studies have examined how students perceive their operative learning environments and whether there is a relationship between their perceptions and subsequent performance. Therefore, this study aimed to clarify which learning activities and interactions students perceived as supporting their operative skills learning and to examine relationships with their outcomes. Longitudinal data about examples of operative laboratory sessions that were perceived as effective or ineffective for learning were collected twice a semester, using written critical incidents and interviews. Emergent themes from these data were identified using thematic analysis. Associations between perceptions of learning effectiveness and performance were analysed using chi-square tests. Students indicated that an effective learning environment involved interactions with tutors and peers. This included tutors arranging group discussions to clarify processes and outcomes, providing demonstrations and constructive feedback. Feedback focused on mistakes, and not improvement, was reported as being ineffective for learning. However, there was no significant association between students' perceptions of the effectiveness of their learning experiences and subsequent performance. It was clear that learning in an operative technique setting involved various factors related not only to social interactions and observational aspects of learning but also to cognitive, motivational and affective processes. Consistent with studies that have demonstrated complex interactions between students, their learning environment and outcomes, other factors need investigation. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  17. Relationship between Learning Style and Academic Status of Babol Dental Students

    Science.gov (United States)

    Nasiri, Zahra; Gharekhani, Samane; Ghasempour, Maryam

    2016-01-01

    Introduction Identifying and employing students’ learning styles could play an important role in selecting appropriate teaching methods in order to improve education. The aim of this study was to determine the relationship between the students’ final exam scores and the learning style preferences of dental students at Babol University of Medical Sciences. Methods This cross-sectional study was conducted on 88 dental students studying in their fourth, fifth, and sixth years using the visual–aural–reading/writing–kinesthetic (VARK) learning styles’ questionnaire. The data were analyzed with IBM SPSS, version 21, using the chi-squared test and the t-test. Results Of the 88 participants who responded to the questionnaire, 87 preferred multimodal learning styles. There was no significant difference between the mean of the final exam scores in students who did and did not prefer the aural learning style (p = 0.86), the reading/writing learning style (p = 0.20), and the kinesthetic learning style (p = 0.32). In addition, there was no significant difference between the scores on the final clinical course among the students who had different preferences for learning style. However, there was a significant difference between the mean of the final exam scores in students with and without visual learning style preference (p = 0.03), with the former having higher mean scores. There was no significant relationship between preferred learning styles and gender (p > 0.05). Conclusion The majority of dental students preferred multimodal learning styles, and there was a significant difference between the mean of the final exam scores for students with and without a preference for the visual learning style. In addition, there were no differences in the preferred learning styles between male and female students. PMID:27382442

  18. Undergraduate Students' Earth Science Learning: Relationships among Conceptions, Approaches, and Learning Self-Efficacy in Taiwan

    Science.gov (United States)

    Shen, Kuan-Ming; Lee, Min-Hsien; Tsai, Chin-Chung; Chang, Chun-Yen

    2016-01-01

    In the area of science education research, studies have attempted to investigate conceptions of learning, approaches to learning, and self-efficacy, mainly focusing on science in general or on specific subjects such as biology, physics, and chemistry. However, few empirical studies have probed students' earth science learning. This study aimed to…

  19. Lexical learning in mild aphasia: gesture benefit depends on patholinguistic profile and lesion pattern.

    Science.gov (United States)

    Kroenke, Klaus-Martin; Kraft, Indra; Regenbrecht, Frank; Obrig, Hellmuth

    2013-01-01

    Gestures accompany speech and enrich human communication. When aphasia interferes with verbal abilities, gestures become even more relevant, compensating for and/or facilitating verbal communication. However, small-scale clinical studies yielded diverging results with regard to a therapeutic gesture benefit for lexical retrieval. Based on recent functional neuroimaging results, delineating a speech-gesture integration network for lexical learning in healthy adults, we hypothesized that the commonly observed variability may stem from differential patholinguistic profiles in turn depending on lesion pattern. Therefore we used a controlled novel word learning paradigm to probe the impact of gestures on lexical learning, in the lesioned language network. Fourteen patients with chronic left hemispheric lesions and mild residual aphasia learned 30 novel words for manipulable objects over four days. Half of the words were trained with gestures while the other half were trained purely verbally. For the gesture condition, rootwords were visually presented (e.g., Klavier, [piano]), followed by videos of the corresponding gestures and the auditory presentation of the novel words (e.g., /krulo/). Participants had to repeat pseudowords and simultaneously reproduce gestures. In the verbal condition no gesture-video was shown and participants only repeated pseudowords orally. Correlational analyses confirmed that gesture benefit depends on the patholinguistic profile: lesser lexico-semantic impairment correlated with better gesture-enhanced learning. Conversely largely preserved segmental-phonological capabilities correlated with better purely verbal learning. Moreover, structural MRI-analysis disclosed differential lesion patterns, most interestingly suggesting that integrity of the left anterior temporal pole predicted gesture benefit. Thus largely preserved semantic capabilities and relative integrity of a semantic integration network are prerequisites for successful use of

  20. Statistical learning is constrained to less abstract patterns in complex sensory input (but not the least).

    Science.gov (United States)

    Emberson, Lauren L; Rubinstein, Dani Y

    2016-08-01

    The influence of statistical information on behavior (either through learning or adaptation) is quickly becoming foundational to many domains of cognitive psychology and cognitive neuroscience, from language comprehension to visual development. We investigate a central problem impacting these diverse fields: when encountering input with rich statistical information, are there any constraints on learning? This paper examines learning outcomes when adult learners are given statistical information across multiple levels of abstraction simultaneously: from abstract, semantic categories of everyday objects to individual viewpoints on these objects. After revealing statistical learning of abstract, semantic categories with scrambled individual exemplars (Exp. 1), participants viewed pictures where the categories as well as the individual objects predicted picture order (e.g., bird1-dog1, bird2-dog2). Our findings suggest that participants preferentially encode the relationships between the individual objects, even in the presence of statistical regularities linking semantic categories (Exps. 2 and 3). In a final experiment we investigate whether learners are biased towards learning object-level regularities or simply construct the most detailed model given the data (and therefore best able to predict the specifics of the upcoming stimulus) by investigating whether participants preferentially learn from the statistical regularities linking individual snapshots of objects or the relationship between the objects themselves (e.g., bird_picture1-dog_picture1, bird_picture2-dog_picture2). We find that participants fail to learn the relationships between individual snapshots, suggesting a bias towards object-level statistical regularities as opposed to merely constructing the most complete model of the input. This work moves beyond the previous existence proofs that statistical learning is possible at both very high and very low levels of abstraction (categories vs. individual

  1. Arrangement and Applying of Movement Patterns in the Cerebellum Based on Semi-supervised Learning.

    Science.gov (United States)

    Solouki, Saeed; Pooyan, Mohammad

    2016-06-01

    Biological control systems have long been studied as a possible inspiration for the construction of robotic controllers. The cerebellum is known to be involved in the production and learning of smooth, coordinated movements. Therefore, highly regular structure of the cerebellum has been in the core of attention in theoretical and computational modeling. However, most of these models reflect some special features of the cerebellum without regarding the whole motor command computational process. In this paper, we try to make a logical relation between the most significant models of the cerebellum and introduce a new learning strategy to arrange the movement patterns: cerebellar modular arrangement and applying of movement patterns based on semi-supervised learning (CMAPS). We assume here the cerebellum like a big archive of patterns that has an efficient organization to classify and recall them. The main idea is to achieve an optimal use of memory locations by more than just a supervised learning and classification algorithm. Surely, more experimental and physiological researches are needed to confirm our hypothesis.

  2. The relationships among nurses' job characteristics and attitudes toward web-based continuing learning.

    Science.gov (United States)

    Chiu, Yen-Lin; Tsai, Chin-Chung; Fan Chiang, Chih-Yun

    2013-04-01

    The purpose of this study was to explore the relationships between job characteristics (job demands, job control and social support) and nurses' attitudes toward web-based continuing learning. A total of 221 in-service nurses from hospitals in Taiwan were surveyed. The Attitudes toward Web-based Continuing Learning Survey (AWCL) was employed as the outcome variables, and the Chinese version Job Characteristic Questionnaire (C-JCQ) was administered to assess the predictors for explaining the nurses' attitudes toward web-based continuing learning. To examine the relationships among these variables, hierarchical regression was conducted. The results of the regression analysis revealed that job control and social support positively associated with nurses' attitudes toward web-based continuing learning. However, the relationship of job demands to such learning was not significant. Moreover, a significant demands×job control interaction was found, but the job demands×social support interaction had no significant relationships with attitudes toward web-based continuing learning. Copyright © 2013 Elsevier Ltd. All rights reserved.

  3. Relationships between communication apprehension, ambiguity tolerance and learning styles in accounting students

    Directory of Open Access Journals (Sweden)

    José Luis Arquero

    2017-01-01

    Full Text Available The dynamics of the global business environment have led to changes in the skills required by accountants in order to add value for their clients. Consequently, there is a growing pressure on accounting educators to design and implement educational programmes that could contribute to the development of the relevant skills. In such a context, it is possible that some characteristics of students (for example communication apprehension, ambiguity tolerance, or learning styles could be constraints on both skills development and pedagogical change. Previous studies have reported that accounting students tend to have higher levels of the constraining characteristics than students from other disciplines. However, previous research has not considered the extent to which those characteristics are inter-related or have possible synergistic effects in accounting students. The results of this study, based on a sample of accounting students, indicate that those relationships exist. The patterns of correlations are indicative of the constraints that an accounting educator must overcome to effectively develop certain skills. Implications of the results are discussed.

  4. A sequence identification measurement model to investigate the implicit learning of metrical temporal patterns.

    Directory of Open Access Journals (Sweden)

    Benjamin G Schultz

    Full Text Available Implicit learning (IL occurs unconsciously and without intention. Perceptual fluency is the ease of processing elicited by previous exposure to a stimulus. It has been assumed that perceptual fluency is associated with IL. However, the role of perceptual fluency following IL has not been investigated in temporal pattern learning. Two experiments by Schultz, Stevens, Keller, and Tillmann demonstrated the IL of auditory temporal patterns using a serial reaction-time task and a generation task based on the process dissociation procedure. The generation task demonstrated that learning was implicit in both experiments via motor fluency, that is, the inability to suppress learned information. With the aim to disentangle conscious and unconscious processes, we analyze unreported recognition data associated with the Schultz et al. experiments using the sequence identification measurement model. The model assumes that perceptual fluency reflects unconscious processes and IL. For Experiment 1, the model indicated that conscious and unconscious processes contributed to recognition of temporal patterns, but that unconscious processes had a greater influence on recognition than conscious processes. In the model implementation of Experiment 2, there was equal contribution of conscious and unconscious processes in the recognition of temporal patterns. As Schultz et al. demonstrated IL in both experiments using a generation task, and the conditions reported here in Experiments 1 and 2 were identical, two explanations are offered for the discrepancy in model and behavioral results based on the two tasks: 1 perceptual fluency may not be necessary to infer IL, or 2 conscious control over implicitly learned information may vary as a function of perceptual fluency and motor fluency.

  5. Learning and Innovation in Inter-Organizational Relationships and Networks

    NARCIS (Netherlands)

    Nooteboom, B.

    2006-01-01

    This paper gives a survey of insights into inter-firm alliances and networks for innovation, from a constructivist, interactionist perspective on knowledge, which leads to the notion of 'cognitive distance'.It looks at both the competence and the governance side of relationships.Given cognitive

  6. Learning relationships: Church of England curates and training ...

    African Journals Online (AJOL)

    2017-06-20

    Jun 20, 2017 ... exploring how this affects the dynamic of the relationship with their curates. Scripture is also ... factors, as employed in the models of personality advanced by Costa and .... psychological type preferences of their training incumbents. The data ..... to conceptualising and implementing Christian vocation.

  7. Literature and English Language Teaching and Learning: A Symbiotic Relationship

    Science.gov (United States)

    Ihejirika, Richard C.

    2014-01-01

    A close look at literature and language shows that the two are closely related. This close relationship is obvious because from all indications, literature presupposes language. It is inconceivable to discuss literature without reference to language. But going by the traditional practice at the secondary school level in Nigerian context, there are…

  8. Relationships between Minority Students Online Learning Experiences and Academic Performance

    Science.gov (United States)

    Yeboah, Alex Kumi; Smith, Patriann

    2016-01-01

    The study investigated the relationship between minority students' use of technology, social media, the number of online courses, program of study, satisfaction, and academic performance. Participants in the study were a diverse student body regarding age, gender, and educational level, and functioned at both undergraduate and graduate levels.…

  9. The Relationship among Pre-Service EFL Teachers' Beliefs about Language Learning, Pedagogical Beliefs, and Beliefs about ICT Integration

    Science.gov (United States)

    Inayati, Dian; Emaliana, Ive

    2017-01-01

    This paper elucidates the relationship among pre-service teachers' beliefs about language learning, pedagogical beliefs, and beliefs about ICT Integration through survey methodology. This study employed a quantitative approach, particularly a correlational relationship to investigate the relationships among beliefs about language learning,…

  10. A study of the relationship between learning styles and cognitive abilities in engineering students

    Science.gov (United States)

    Hames, E.; Baker, M.

    2015-03-01

    Learning preferences have been indirectly linked to student success in engineering programmes, without a significant body of research to connect learning preferences with cognitive abilities. A better understanding of the relationship between learning styles and cognitive abilities will allow educators to optimise the classroom experience for students. The goal of this study was to determine whether relationships exist between student learning styles, as determined by the Felder-Soloman Inventory of Learning Styles (FSILS), and their cognitive performance. Three tests were used to assess student's cognitive abilities: a matrix reasoning task, a Tower of London task, and a mental rotation task. Statistical t-tests and correlation coefficients were used to quantify the results. Results indicated that the global-sequential, active-referential, and visual-verbal FSILS learning styles scales are related to performance on cognitive tasks. Most of these relationships were found in response times, not accuracy. Differences in task performance between gender groups (male and female) were more notable than differences between learning styles groups.

  11. The relationships among usage of motivation, learning strategies, parents' educational level and gender

    Directory of Open Access Journals (Sweden)

    Özlem Sadi

    2014-08-01

    Full Text Available Current study examines the following question: What is the relationship among Turkish high school students’ motivation and learning strategies use in biology, their gender and parents’ educational level? The aim of this study is to specify the relationships among family environment variables (fathers’ and mothers’ education levels, students’ gender, time/study environmental management, cognitive learning strategies (rehearsal, elaboration, organization and critical thinking and students’ goal orientations (intrinsic and extrinsic goal orientations. The participants were 400 students in 9th and 10th grades in Anatolian high schools in Turkey. So, they were in urban high school students. The Motivated Strategies for Learning Questionnaire (MSLQ was applied to measure motivational orientations and self-regulated learning strategies use of students. Moreover, a Structural Equation Modeling was used to investigate the relationships among family environment variables, students’ gender, time/study environmental management, cognitive learning strategies and students’ goal orientations by using the LISREL 8.72 program. The results of the study showed that parents’ education level was related to each of the following variables: rehearsal, elaboration, organization, critical thinking, time/study environmental management, intrinsic goal orientation and extrinsic goal orientation. Gender was related to rehearsal, elaboration, organization strategies, intrinsic goal orientation and extrinsic goal orientation. The results showed that students, whose parents have high education level, were also more likely to succeed in using cognitive learning strategies (rehearsal, elaboration, organization and critical thinking and planning the necessary time for learning and making use of time well. The present study revealed that parental education levels and gender should be taken into consideration as major predictors of time/study environmental

  12. Novice medical students: individual patterns in the use of learning strategies and how they change during the first academic year.

    Science.gov (United States)

    Fabry, Götz; Giesler, Marianne

    2012-01-01

    Adequate use of different learning strategies is one of the most important prerequisites of academic success. The actual use of learning strategies is the result of an interaction between individual and situational variables. Against this background we conducted a longitudinal study with first year medical students to investigate whether individuals show different patterns in their use of learning strategies and whether these patterns change during the first academic year. Medical students (N=175, 58% female) were surveyed three times in their first academic year regarding their use of learning strategies. A hierarchical cluster analysis (Ward) was conducted in order to identify groups of students with different patterns of learning strategies. We identified four different patterns in approaches to learning among novice medical students ("easy-going", "flexible", "problematic" and "hardworking" learners). Compared to their peers, the problematic learners had the worst final school grades. In addition changes in the use of learning strategies were identified, most of them occurred during the first term. Students start their academic studies with different patterns of learning strategies; the characteristics of these patterns change during the first academic year. Further research is necessary to better understand how individual and situational variables determine students' learning.

  13. A Novel Unsupervised Adaptive Learning Method for Long-Term Electromyography (EMG) Pattern Recognition

    Science.gov (United States)

    Huang, Qi; Yang, Dapeng; Jiang, Li; Zhang, Huajie; Liu, Hong; Kotani, Kiyoshi

    2017-01-01

    Performance degradation will be caused by a variety of interfering factors for pattern recognition-based myoelectric control methods in the long term. This paper proposes an adaptive learning method with low computational cost to mitigate the effect in unsupervised adaptive learning scenarios. We presents a particle adaptive classifier (PAC), by constructing a particle adaptive learning strategy and universal incremental least square support vector classifier (LS-SVC). We compared PAC performance with incremental support vector classifier (ISVC) and non-adapting SVC (NSVC) in a long-term pattern recognition task in both unsupervised and supervised adaptive learning scenarios. Retraining time cost and recognition accuracy were compared by validating the classification performance on both simulated and realistic long-term EMG data. The classification results of realistic long-term EMG data showed that the PAC significantly decreased the performance degradation in unsupervised adaptive learning scenarios compared with NSVC (9.03% ± 2.23%, p < 0.05) and ISVC (13.38% ± 2.62%, p = 0.001), and reduced the retraining time cost compared with ISVC (2 ms per updating cycle vs. 50 ms per updating cycle). PMID:28608824

  14. A Novel Unsupervised Adaptive Learning Method for Long-Term Electromyography (EMG Pattern Recognition

    Directory of Open Access Journals (Sweden)

    Qi Huang

    2017-06-01

    Full Text Available Performance degradation will be caused by a variety of interfering factors for pattern recognition-based myoelectric control methods in the long term. This paper proposes an adaptive learning method with low computational cost to mitigate the effect in unsupervised adaptive learning scenarios. We presents a particle adaptive classifier (PAC, by constructing a particle adaptive learning strategy and universal incremental least square support vector classifier (LS-SVC. We compared PAC performance with incremental support vector classifier (ISVC and non-adapting SVC (NSVC in a long-term pattern recognition task in both unsupervised and supervised adaptive learning scenarios. Retraining time cost and recognition accuracy were compared by validating the classification performance on both simulated and realistic long-term EMG data. The classification results of realistic long-term EMG data showed that the PAC significantly decreased the performance degradation in unsupervised adaptive learning scenarios compared with NSVC (9.03% ± 2.23%, p < 0.05 and ISVC (13.38% ± 2.62%, p = 0.001, and reduced the retraining time cost compared with ISVC (2 ms per updating cycle vs. 50 ms per updating cycle.

  15. Relationships between use of television during meals and children's food consumption patterns.

    Science.gov (United States)

    Coon, K A; Goldberg, J; Rogers, B L; Tucker, K L

    2001-01-01

    We examined relationships between the presence of television during meals and children's food consumption patterns to test whether children's overall food consumption patterns, including foods not normally advertised, vary systematically with the extent to which television is part of normal mealtime routines. Ninety-one parent-child pairs from suburbs adjacent to Washington, DC, recruited via advertisements and word of mouth, participated. Children were in the fourth, fifth, or sixth grades. Socioeconomic data and information on television use were collected during survey interviews. Three nonconsecutive 24-hour dietary recalls, conducted with each child, were used to construct nutrient and food intake outcome variables. Independent sample t tests were used to compare mean food and nutrient intakes of children from families in which the television was usually on during 2 or more meals (n = 41) to those of children from families in which the television was either never on or only on during one meal (n = 50). Multiple linear regression models, controlling for socioeconomic factors and other covariates, were used to test strength of associations between television and children's consumption of food groups and nutrients. Children from families with high television use derived, on average, 6% more of their total daily energy intake from meats; 5% more from pizza, salty snacks, and soda; and nearly 5% less of their energy intake from fruits, vegetables, and juices than did children from families with low television use. Associations between television and children's consumption of food groups remained statistically significant in multiple linear regression models that controlled for socioeconomic factors and other covariates. Children from high television families derived less of their total energy from carbohydrate and consumed twice as much caffeine as children from low television families. There continued to be a significant association between television and children

  16. Relationship between perceptual learning in speech and statistical learning in younger and older adults

    Directory of Open Access Journals (Sweden)

    Thordis Marisa Neger

    2014-09-01

    Full Text Available Within a few sentences, listeners learn to understand severely degraded speech such as noise-vocoded speech. However, individuals vary in the amount of such perceptual learning and it is unclear what underlies these differences. The present study investigates whether perceptual learning in speech relates to statistical learning, as sensitivity to probabilistic information may aid identification of relevant cues in novel speech input. If statistical learning and perceptual learning (partly draw on the same general mechanisms, then statistical learning in a non-auditory modality using non-linguistic sequences should predict adaptation to degraded speech.In the present study, 73 older adults (aged over 60 years and 60 younger adults (aged between 18 and 30 years performed a visual artificial grammar learning task and were presented with sixty meaningful noise-vocoded sentences in an auditory recall task. Within age groups, sentence recognition performance over exposure was analyzed as a function of statistical learning performance, and other variables that may predict learning (i.e., hearing, vocabulary, attention switching control, working memory and processing speed. Younger and older adults showed similar amounts of perceptual learning, but only younger adults showed significant statistical learning. In older adults, improvement in understanding noise-vocoded speech was constrained by age. In younger adults, amount of adaptation was associated with lexical knowledge and with statistical learning ability. Thus, individual differences in general cognitive abilities explain listeners' variability in adapting to noise-vocoded speech. Results suggest that perceptual and statistical learning share mechanisms of implicit regularity detection, but that the ability to detect statistical regularities is impaired in older adults if visual sequences are presented quickly.

  17. Spatiotemporal patterns of paralytic shellfish toxins and their relationships with environmental variables in British Columbia, Canada from 2002 to 2012.

    Science.gov (United States)

    Finnis, Stephen; Krstic, Nikolas; McIntyre, Lorraine; Nelson, Trisalyn A; Henderson, Sarah B

    2017-07-01

    Harmful algal blooms produce paralytic shellfish toxins that accumulate in the tissues of filter feeding shellfish. Ingestion of these toxic shellfish can cause a serious and potentially fatal condition known as paralytic shellfish poisoning (PSP). The coast of British Columbia is routinely monitored for shellfish toxicity, and this study uses data from the monitoring program to identify spatiotemporal patterns in shellfish toxicity events and their relationships with environmental variables. The dinoflagellate genus Alexandrium produces the most potent paralytic shellfish toxin, saxitoxin (STX). Data on all STX measurements were obtained from 49 different shellfish monitoring sites along the coast of British Columbia for 2002-2012, and monthly toxicity events were identified. We performed hierarchical cluster analysis to group sites that had events in similar areas with similar timing. Machine learning techniques were used to model the complex relationships between toxicity events and environmental variables in each group. The Strait of Georgia and the west coast of Vancouver Island had unique toxicity regimes. Out of the seven environmental variables used, toxicity in each cluster could be described by multivariable models including monthly sea surface temperature, air temperature, sea surface salinity, freshwater discharge, upwelling, and photosynthetically active radiation. The sea surface salinity and freshwater discharge variables produced the strongest univariate models for both geographic areas. Applying these methods in coastal regions could allow for the prediction of shellfish toxicity events by environmental conditions. This has the potential to optimize biotoxin monitoring, improve public health surveillance, and engage the shellfish industry in helping to reduce the risk of PSP. Copyright © 2017 Elsevier Inc. All rights reserved.

  18. Relationship Between Age, Experience, and Student Preference for Types of Learning Activities in Online Courses

    Directory of Open Access Journals (Sweden)

    Thomas A. Simonds

    2017-10-01

    Full Text Available In this study, two researchers explored student learning preferences in online courses. They used the scholarship of teaching and learning process as a research model, and embedded a web-based survey and online focus groups in the online courses they were teaching. After collecting data, the researchers conducted multiple logistic regression analyses to test their hypothesis that a relationship existed between some student factors and student preferences for types of online learning activities. The results of the data analysis revealed a statistically significant relationship between student age and student preference for certain types of online learning activities. Older students in the study indicated a much stronger preference for videos of the professor lecturing, while younger students tended to prefer more interactive learning strategies. Focus group comments from the older students provide insights into some of the reasons why they found watching video lectures to be helpful for their learning, and comments from younger students illustrate how they learn best in online courses. The researchers offer suggestions for online instructors based on the findings of this study, and they explain why online instructors may find the scholarship of teaching and learning research process especially helpful for both teaching and research efforts.

  19. Qualitative development of eLearning environments through a learner relationship management methodology

    Directory of Open Access Journals (Sweden)

    Fattaneh Taghiyareh

    2013-03-01

    Full Text Available Due to paramount importance of knowledge, life-long learning, globalization, and mobility; eLearning as an information technology application has faced rapid growth in recent years. Disseminated war for talent enforces providers of eLearning products to identify technological gaps of learning and provide personalized services for customers of this industry. As we may know, designing customer-centered environments and managing end-user relations are the most effective elements in the market gain, due to the importance of customer satisfaction. The special features of eLearning systems with respect to their centers and users make them appropriate realms for applying a Customer Relationship Management (CRM methodology. Learner Relationship Management (LRM, which is more specialized than CRM in eLearning context, plays a significant role in improving quality of services, enhancing learners’ satisfaction and retention, keeping them, and recruitment new users. LRM provides an integrated infrastructure for eLearning systems and helps them to analyse learners’ capabilities and find the best match to overcome the turbulent environment and tight competition. Also, by improving the service quality and enhancing teaching and learning flows, LRM offers personalized instructions to learners.

  20. Relationship between conventional semen characteristics, sperm motility patterns and fertility of Andalusian donkeys (Equus asinus).

    Science.gov (United States)

    Dorado, J; Acha, D; Ortiz, I; Gálvez, M J; Carrasco, J J; Díaz, B; Gómez-Arrones, V; Calero-Carretero, R; Hidalgo, M

    2013-12-01

    Sperm quality has an important role in determining fertility. The aims of this study were to compare the conventional sperm parameters, plus the characteristics of the motility patterns of the different sperm subpopulations, of donkey donors with different fertility level, and to determine their relationships to fertility. Thirty ejaculates from 6 Andalusian donkeys were assessed for gel-free volume, pH, sperm concentration, motility and morphology. The fertility of donkeys was classified on the basis of pregnancy rates per cycle, where donkeys with a per cycle pregnancy rate ≥60% were considered to be "fertile" (n=3) and those with a per cycle pregnancy rate donkeys with in vitro measures of sperm motility using computer-assisted sperm analysis techniques. Copyright © 2013 Elsevier B.V. All rights reserved.

  1. Statistical learning of recurring sound patterns encodes auditory objects in songbird forebrain.

    Science.gov (United States)

    Lu, Kai; Vicario, David S

    2014-10-07

    Auditory neurophysiology has demonstrated how basic acoustic features are mapped in the brain, but it is still not clear how multiple sound components are integrated over time and recognized as an object. We investigated the role of statistical learning in encoding the sequential features of complex sounds by recording neuronal responses bilaterally in the auditory forebrain of awake songbirds that were passively exposed to long sound streams. These streams contained sequential regularities, and were similar to streams used in human infants to demonstrate statistical learning for speech sounds. For stimulus patterns with contiguous transitions and with nonadjacent elements, single and multiunit responses reflected neuronal discrimination of the familiar patterns from novel patterns. In addition, discrimination of nonadjacent patterns was stronger in the right hemisphere than in the left, and may reflect an effect of top-down modulation that is lateralized. Responses to recurring patterns showed stimulus-specific adaptation, a sparsening of neural activity that may contribute to encoding invariants in the sound stream and that appears to increase coding efficiency for the familiar stimuli across the population of neurons recorded. As auditory information about the world must be received serially over time, recognition of complex auditory objects may depend on this type of mnemonic process to create and differentiate representations of recently heard sounds.

  2. Learning, innovation and proximity : an empirical exploration of patterns of learning : a case study

    NARCIS (Netherlands)

    Oerlemans, L.A.G.; Meeus, M.T.H.; Boekema, F.W.M.

    1998-01-01

    A growing body of theoretical research is addressing the importance of learning in the organisational and technological renewal of firms, and therefore in their efforts to improve competitiveness (Daft & Huber, 1987; Levitt & March, 1988; Huber, 1991; Dodgson, 1993; Blackler, 1995; Dodgson, 1996).

  3. IMS Learning Design Support for the Formalization of Collaborative Learning Patterns

    NARCIS (Netherlands)

    Hernández-Leo, Davinia; Asensio-Pérez, Juan; Dimitriadis, Yannis

    2004-01-01

    The paper was granted with "an ICALT Best Paper Award". Appears in Proceedings of the 4th International Conference on Advanced Learning Technologies (ICALT04), pp. 350-354, Joensuu, Finland, 31 Aug - 1 Sep 2004. (source link).

  4. Relationship Model of Personality, Communication, Student Engagement, and Learning Satisfaction

    Directory of Open Access Journals (Sweden)

    Dorothea Ariani

    2015-12-01

    Full Text Available This study aims to examine the engagement as a mediating variable of the relationship between personality and communication with satisfaction. This study was conducted at business school in Indonesia with 307 students who are still active as a respondent. Survey research was conducted over four months by questionnaire that has been well-established that was taken and modified from previous studies. The results of this study indicate that student engagement mediates the relationship between personality and communication as independent variables and satisfaction as the dependent variable. Extroversion personality and communication significantly positive effect on student engagement in all three dimensions (vigor, dedication, and absorption. In addition, this study also showed that engagement and satisfaction are two different variables, but correlated, and there was no difference in terms of gender differences involvement.

  5. The Relationship between Food Pattern and Hemoglobin Level in Pregnant Women at Maros, South Sulawesi

    Directory of Open Access Journals (Sweden)

    Zulkifli Abdullah

    2011-06-01

    Full Text Available Food consumption pattern is known as a determinant factor for nutritional problems among pregnant mothers. This study was intended to assess food consumption and its relationship to anemia in Maros Districts, Indonesia. This study was conducted in two sub-districts and pregnant mothers was randomly selected (n = 200 and proportionally from both districts. Data was collected by train field workers including measurement of hemoglobin, height and weight, 24-hour recall and food frequency questionnaire. Multivariate analyses were performed to see the relationship between food consumption and anemia. It showed that anemia prevalence was 41% whereas mostly in mild and moderate levels (44% and 55% respectively. The most common pattern of food consumption was rice, fish, and some vegetables. However, vegetables and fruit mostly consumed only 3-6 time a week. Energy and protein intakes were only 59% to 72% recommended dietary allowance (RDA or 1300 kcal and 48 gr respectively. Most vitamin was consumed only around 40% except for vitamin A (76%, 605 RE, folic acid (195%, 1170 ug, and Vitamin B12 (142%, 3,7 ug. However, iron and zinc intakes were only 6.1 gr (17.5% RDA and 5.9 gr (44% RDA, respectively. Multivariate analyses showed that education duration of mothers, nutritional status, iron tablet intakes, vitamin C, and B6 consumption were significantly related to anemia of pregnant mothers in the study and accounted for 24% (p<0.05. We conclude that food consumption was relatively low and caused lack intakes for both macro and micro nutrients of pregnant mothers in the study. Education and nutritional status of the mothers contributed also to the anemia prevalence.

  6. The SOD gene family in tomato: identification, phylogenetic relationships and expression patterns

    Directory of Open Access Journals (Sweden)

    kun feng

    2016-08-01

    Full Text Available Superoxide dismutases (SODs are critical antioxidant enzymes that protect organisms from reactive oxygen species (ROS caused by adverse conditions, and have been widely found in the cytoplasm, chloroplasts, and mitochondria of eukaryotic and prokaryotic cells. Tomato (Solanum lycopersicum L. is an important economic crop and is cultivated worldwide. However, abiotic and biotic stresses severely hinder growth and development of the plant, which affects the production and quality of the crop. To reveal the potential roles of SOD genes under various stresses, we performed a systematic analysis of the tomato SOD gene family and analyzed the expression patterns of SlSOD genes in response to abiotic stresses at the whole-genome level. The characteristics of the SlSOD gene family were determined by analyzing gene structure, conserved motifs, chromosomal distribution, phylogenetic relationships, and expression patterns. We determined that there are at least nine SOD genes in tomato, including four Cu/ZnSODs, three FeSODs, and one MnSOD, and they are unevenly distributed on 12 chromosomes. Phylogenetic analyses of SOD genes from tomato and other plant species were separated into two groups with a high bootstrap value, indicating that these SOD genes were present before the monocot-dicot split. Additionally, many cis-elements that respond to different stresses were found in the promoters of nine SlSOD genes. Gene expression analysis based on RNA-seq data showed that most genes were expressed in all tested tissues, with the exception of SlSOD6 and SlSOD8, which were only expressed in young fruits. Microarray data analysis showed that most members of the SlSOD gene family were altered under salt- and drought-stress conditions. This genome-wide analysis of SlSOD genes helps to clarify the function of SlSOD genes under different stress conditions and provides information to aid in further understanding the evolutionary relationships of SOD genes in plants.

  7. Improved Discriminability of Spatiotemporal Neural Patterns in Rat Motor Cortical Areas as Directional Choice Learning Progresses

    Directory of Open Access Journals (Sweden)

    Hongwei eMao

    2015-03-01

    Full Text Available Animals learn to choose a proper action among alternatives to improve their odds of success in food foraging and other activities critical for survival. Through trial-and-error, they learn correct associations between their choices and external stimuli. While a neural network that underlies such learning process has been identified at a high level, it is still unclear how individual neurons and a neural ensemble adapt as learning progresses. In this study, we monitored the activity of single units in the rat medial and lateral agranular (AGm and AGl, respectively areas as rats learned to make a left or right side lever press in response to a left or right side light cue. We noticed that rat movement parameters during the performance of the directional choice task quickly became stereotyped during the first 2-3 days or sessions. But learning the directional choice problem took weeks to occur. Accompanying rats’ behavioral performance adaptation, we observed neural modulation by directional choice in recorded single units. Our analysis shows that ensemble mean firing rates in the cue-on period did not change significantly as learning progressed, and the ensemble mean rate difference between left and right side choices did not show a clear trend of change either. However, the spatiotemporal firing patterns of the neural ensemble exhibited improved discriminability between the two directional choices through learning. These results suggest a spatiotemporal neural coding scheme in a motor cortical neural ensemble that may be responsible for and contributing to learning the directional choice task.

  8. The chronotron: a neuron that learns to fire temporally precise spike patterns.

    Directory of Open Access Journals (Sweden)

    Răzvan V Florian

    Full Text Available In many cases, neurons process information carried by the precise timings of spikes. Here we show how neurons can learn to generate specific temporally precise output spikes in response to input patterns of spikes having precise timings, thus processing and memorizing information that is entirely temporally coded, both as input and as output. We introduce two new supervised learning rules for spiking neurons with temporal coding of information (chronotrons, one that provides high memory capacity (E-learning, and one that has a higher biological plausibility (I-learning. With I-learning, the neuron learns to fire the target spike trains through synaptic changes that are proportional to the synaptic currents at the timings of real and target output spikes. We study these learning rules in computer simulations where we train integrate-and-fire neurons. Both learning rules allow neurons to fire at the desired timings, with sub-millisecond precision. We show how chronotrons can learn to classify their inputs, by firing identical, temporally precise spike trains for different inputs belonging to the same class. When the input is noisy, the classification also leads to noise reduction. We compute lower bounds for the memory capacity of chronotrons and explore the influence of various parameters on chronotrons' performance. The chronotrons can model neurons that encode information in the time of the first spike relative to the onset of salient stimuli or neurons in oscillatory networks that encode information in the phases of spikes relative to the background oscillation. Our results show that firing one spike per cycle optimizes memory capacity in neurons encoding information in the phase of firing relative to a background rhythm.

  9. Critique to the contemporaneous cynic reason: life and learning relationship review.

    Directory of Open Access Journals (Sweden)

    Diana Milena Peñuela Contreras

    2013-01-01

    Full Text Available In the present article it is proposed to think about life and learning relationship from the turn produced by the introduction of the cynical reason in the contemporaneous societies. Three stages form this writing. In the first one, the ways of functioning of the critique to the cynical reason, from Sloterdjik and Deleuze, are contextualized. In the second one, the implications of such cynical reason, designated by Sloterdjik as reversion of the life’s effects on the learning and their relationship are discussed. And in the third one, the Jacotot’s experience, reconstructed by Jaques Ranciere, is picked up in order to give other senses and understandings to today’s life-learning relationship.

  10. Two-phase flow patterns and their relationship to two-phase heat transfer

    International Nuclear Information System (INIS)

    Hewitt, G.F.

    1977-01-01

    The objective of this lecture was to discuss the general nature of two phase flows, to define the various regimes of flow and to discuss the influence of these regimes on the heat transfer processes taking place. The methods of regime delineation are briefly described and regime descriptions introduced for both vertical and horizontal flows in tubes. ''Flow regime maps'' have been widely used as an aid to determination of the regime which occurs in a given situation. Some of the more widely used maps are described and the limitations of this approach discussed. There have been many attempts to obtain a better phenomenological description of two phase flow patterns. In this lecture, these attempts will be reviewed in the context of the bubble/plug, plug/churn and churn/annular flow transitions in vertical flow. The latter two transitions are related to the flooding/flow reversal phenomena. For horizontal flows, recent work on the onset of slugging will be reviewed. In flows with evaporation or condensation, the situation is influenced by departures from thermodynamic equilibrium and the types of departure observed are discuss briefly. Flow patterns and their relationships with heat transfer regimes are then reviewed for the case of condensation in horizontal tubes and evaporation in vertical tubes

  11. Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.

    Directory of Open Access Journals (Sweden)

    Jon B Toledo

    Full Text Available Different inflammatory and metabolic pathways have been associated with Alzheimeŕs disease (AD. However, only recently multi-analyte panels to study a large number of molecules in well characterized cohorts have been made available. These panels could help identify molecules that point to the affected pathways. We studied the relationship between a panel of plasma biomarkers (Human DiscoveryMAP and presence of AD-like brain atrophy patterns defined by a previously published index (SPARE-AD at baseline in subjects of the ADNI cohort. 818 subjects had MRI-derived SPARE-AD scores, of these subjects 69% had plasma biomarkers and 51% had CSF tau and Aβ measurements. Significant analyte-SPARE-AD and analytes correlations were studied in adjusted models. Plasma cortisol and chromogranin A showed a significant association that did not remain significant in the CSF signature adjusted model. Plasma macrophage inhibitory protein-1α and insulin-like growth factor binding protein 2 showed a significant association with brain atrophy in the adjusted model. Cortisol levels showed an inverse association with tests measuring processing speed. Our results indicate that stress and insulin responses and cytokines associated with recruitment of inflammatory cells in MCI-AD are associated with its characteristic AD-like brain atrophy pattern and correlate with clinical changes or CSF biomarkers.

  12. Relationship between eye dominance and pattern electroretinograms in normal human subjects.

    Science.gov (United States)

    Kamis, Umit; Gunduz, Kemal; Okudan, Nilsel; Gokbel, Hakki; Bodur, Sait; Tan, Uner

    2005-02-01

    The authors conducted a study in 100 non-smoker healthy normal human subjects to find a relationship between eye dominance and macular function as tested by using transient stimulus and electroretinography. Eye preference procedure was carried out using two reference points and pattern electroretinograms (PERGs) were recorded using black and white checks, each check subtending 23'. Trace averager was retriggered every 300 milliseconds (ms) with data collection time of 150 ms. The difference in PERG P50 amplitudes between right and left eyes was analyzed using Student's t test. There was no significant difference in PERG P50 amplitudes between the right and left eye dominant subjects as well as no significant differences between the right and left eyes in right eye dominants and left eye dominants, but in the left-eye dominant group the left eye PERG P50 amplitudes were significantly higher in females than males. Although pattern-reversal visual evoked potentials of healthy subjects provide electrophysiological evidence of lateralization in the nervous system, sensory eye dominance seems to have no correlation with macular function.

  13. The Mediating Role of Organizational Learning in?the Relationship of Organizational Intelligence and Organizational Agility

    OpenAIRE

    Bahrami, Mohammad Amin; Kiani, Mohammad Mehdi; Montazeralfaraj, Raziye; Zadeh, Hossein Fallah; Zadeh, Morteza Mohammad

    2016-01-01

    Objectives Organizational learning is defined as creating, absorbing, retaining, transferring, and application of knowledge within an organization. This article aims to examine the mediating role of organizational learning in the relationship of organizational intelligence and organizational agility. Methods This analytical and cross-sectional study was conducted in 2015 at four teaching hospitals of Yazd city, Iran. A total of 370 administrative and medical staff contributed to the study. We...

  14. Relationship between Chinese Learning Motivation types and demographic features among Danish Students

    DEFF Research Database (Denmark)

    Zhang, Chun

    The purpose of this study is to investigate the relationship between Chinese learning motivation types and the various demographic features among students at lower and upper secondary schools in Denmark. The basis of the analysis is survey data collected in Denmark from 204 students from 6 upper......) in mind, the motivational types in Chinese learning demonstrate the distinct features of the context. Theoretical and pedagogical implications for the findings are discussed....

  15. Relationships Between the External and Internal Training Load in Professional Soccer: What Can We Learn From Machine Learning?

    Science.gov (United States)

    Jaspers, Arne; Beéck, Tim Op De; Brink, Michel S; Frencken, Wouter G P; Staes, Filip; Davis, Jesse J; Helsen, Werner F

    2017-12-28

    Machine learning may contribute to understanding the relationship between the external load and internal load in professional soccer. Therefore, the relationship between external load indicators and the rating of perceived exertion (RPE) was examined using machine learning techniques on a group and individual level. Training data were collected from 38 professional soccer players over two seasons. The external load was measured using global positioning system technology and accelerometry. The internal load was obtained using the RPE. Predictive models were constructed using two machine learning techniques, artificial neural networks (ANNs) and least absolute shrinkage and selection operator (LASSO), and one naive baseline method. The predictions were based on a large set of external load indicators. Using each technique, one group model involving all players and one individual model for each player was constructed. These models' performance on predicting the reported RPE values for future training sessions was compared to the naive baseline's performance. Both the ANN and LASSO models outperformed the baseline. Additionally, the LASSO model made more accurate predictions for the RPE than the ANN model. Furthermore, decelerations were identified as important external load indicators. Regardless of the applied machine learning technique, the group models resulted in equivalent or better predictions for the reported RPE values than the individual models. Machine learning techniques may have added value in predicting the RPE for future sessions to optimize training design and evaluation. Additionally, these techniques may be used in conjunction with expert knowledge to select key external load indicators for load monitoring.

  16. Momentary patterns of covariation between specific affects and interpersonal behavior: Linking relationship science and personality assessment.

    Science.gov (United States)

    Ross, Jaclyn M; Girard, Jeffrey M; Wright, Aidan G C; Beeney, Joseph E; Scott, Lori N; Hallquist, Michael N; Lazarus, Sophie A; Stepp, Stephanie D; Pilkonis, Paul A

    2017-02-01

    Relationships are among the most salient factors affecting happiness and wellbeing for individuals and families. Relationship science has identified the study of dyadic behavioral patterns between couple members during conflict as an important window in to relational functioning with both short-term and long-term consequences. Several methods have been developed for the momentary assessment of behavior during interpersonal transactions. Among these, the most popular is the Specific Affect Coding System (SPAFF), which organizes social behavior into a set of discrete behavioral constructs. This study examines the interpersonal meaning of the SPAFF codes through the lens of interpersonal theory, which uses the fundamental dimensions of Dominance and Affiliation to organize interpersonal behavior. A sample of 67 couples completed a conflict task, which was video recorded and coded using SPAFF and a method for rating momentary interpersonal behavior, the Continuous Assessment of Interpersonal Dynamics (CAID). Actor partner interdependence models in a multilevel structural equation modeling framework were used to study the covariation of SPAFF codes and CAID ratings. Results showed that a number of SPAFF codes had clear interpersonal signatures, but many did not. Additionally, actor and partner effects for the same codes were strongly consistent with interpersonal theory's principle of complementarity. Thus, findings reveal points of convergence and divergence in the 2 systems and provide support for central tenets of interpersonal theory. Future directions based on these initial findings are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  17. Momentary Patterns of Covariation between Specific Affects and Interpersonal Behavior: Linking Relationship Science and Personality Assessment

    Science.gov (United States)

    Ross, Jaclyn M.; Girard, Jeffrey M.; Wright, Aidan G.C.; Beeney, Joseph E.; Scott, Lori N.; Hallquist, Michael N.; Lazarus, Sophie A.; Stepp, Stephanie D.; Pilkonis, Paul A.

    2016-01-01

    Relationships are among the most salient factors affecting happiness and wellbeing for individuals and families. Relationship science has identified the study of dyadic behavioral patterns between couple members during conflict as an important window in to relational functioning with both short-term and long-term consequences. Several methods have been developed for the momentary assessment of behavior during interpersonal transactions. Among these, the most popular is the Specific Affect Coding System (SPAFF), which organizes social behavior into a set of discrete behavioral constructs. This study examines the interpersonal meaning of the SPAFF codes through the lens of interpersonal theory, which uses the fundamental dimensions of Dominance and Affiliation to organize interpersonal behavior. A sample of 67 couples completed a conflict task, which was video recorded and coded using SPAFF and a method for rating momentary interpersonal behavior, the Continuous Assessment of Interpersonal Dynamics (CAID). Actor partner interdependence models in a multilevel structural equation modeling framework were used to study the covariation of SPAFF codes and CAID ratings. Results showed that a number of SPAFF codes had clear interpersonal signatures, but many did not. Additionally, actor and partner effects for the same codes were strongly consistent with interpersonal theory’s principle of complementarity. Thus, findings reveal points of convergence and divergence in the two systems and provide support for central tenets of interpersonal theory. Future directions based on these initial findings are discussed. PMID:27148786

  18. Distribution Patterns of Polyphosphate Metabolism Pathway and Its Relationships With Bacterial Durability and Virulence

    Directory of Open Access Journals (Sweden)

    Liang Wang

    2018-04-01

    Full Text Available Inorganic polyphosphate (polyP is a linear polymer of orthophosphate residues. It is reported to be present in all life forms. Experimental studies showed that polyP plays important roles in bacterial durability and virulence. Here we investigated the relationships of polyP with bacterial durability and virulence theoretically. Bacterial lifestyle, environmental persistence, virulence factors (VFs, and species evolution are all included in the analysis. The presence of seven genes involved in polyP metabolism (ppk1, ppk2, pap, surE, gppA, ppnK, and ppgK and 2595 core VFs were verified in 944 bacterial reference proteomes for distribution patterns via HMMER. Proteome size and VFs were compared in terms of gain and loss of polyP pathway. Literature mining and phylogenetic analysis were recruited to support the study. Our analyzes revealed that the presence of polyP metabolism is positively correlated with bacterial proteome size and the number of virulence genes. A potential relationship of polyP in bacterial lifestyle and environmental durability is suggested. Evolutionary analysis shows that polyP genes are randomly lost along the phylogenetic tree. In sum, based on our theoretical analysis, we confirmed that bacteria with polyP metabolism are associated with high environmental durability and more VFs.

  19. Systematic temporal patterns in the relationship between housing development and forest bird biodiversity.

    Science.gov (United States)

    Pidgeon, Anna M; Flather, Curtis H; Radeloff, Volker C; Lepczyk, Christopher A; Keuler, Nicholas S; Wood, Eric M; Stewart, Susan I; Hammer, Roger B

    2014-10-01

    As people encroach increasingly on natural areas, one question is how this affects avian biodiversity. The answer to this is partly scale-dependent. At broad scales, human populations and biodiversity concentrate in the same areas and are positively associated, but at local scales people and biodiversity are negatively associated with biodiversity. We investigated whether there is also a systematic temporal trend in the relationship between bird biodiversity and housing development. We used linear regression to examine associations between forest bird species richness and housing growth in the conterminous United States over 30 years. Our data sources were the North American Breeding Bird Survey and the 2000 decennial U.S. Census. In the 9 largest forested ecoregions, housing density increased continually over time. Across the conterminous United States, the association between bird species richness and housing density was positive for virtually all guilds except ground nesting birds. We found a systematic trajectory of declining bird species richness as housing increased through time. In more recently developed ecoregions, where housing density was still low, the association with bird species richness was neutral or positive. In ecoregions that were developed earlier and where housing density was highest, the association of housing density with bird species richness for most guilds was negative and grew stronger with advancing decades. We propose that in general the relationship between human settlement and biodiversity over time unfolds as a 2-phase process. The first phase is apparently innocuous; associations are positive due to coincidence of low-density housing with high biodiversity. The second phase is highly detrimental to biodiversity, and increases in housing density are associated with biodiversity losses. The long-term effect on biodiversity depends on the final housing density. This general pattern can help unify our understanding of the relationship

  20. RELATIONSHIP OF INTEREST, LEARNING MOTIVATION AND ATTITUDE WITH RESULTS LEARNING CLASS VIII SMP STATE 13 MAKASSAR

    Directory of Open Access Journals (Sweden)

    Putri Athirah Azis

    2016-12-01

    Full Text Available The study aims at examining (1 the correlation of learning interest towards learning result of grade students, (2 the correlation of learning motivation towards learning result of grade students, (3 the correlation of students attitude towards learning result, (4 the correlationof interest, learning motivation, and attitude collaboratively towards learning result. The study is an ex post facto. The population of the study was grade VIII at SMPN 13 Makassar. Samples were 105 students taken by employing random sampling technique. Data were collected through questionnaire and documentation. Data were analyzed using regression test. The result of study reveal that (1 there is significant correlation (p<0,01 of interest towards learning result of grade VIII students at SMPN 13 Makassar. Co-efficient correlation (r is 0,718 and its effectiveness contribution (R2 is 51,5%, (2 there is significant correlation (p<0,01 of motivation towards learning result of grade VIII students at SMPN 13 Makassar. Co-efficient correlation (r is 0,775 and its effectiveness contribution (R2 is 60,1%, (3 there is significant correlation (p<0,01 of attitude towards learning result of grade VIII students at SMPN 13 Makassar. Co-efficient correlation (r is 0,737 and its effectiveness contribution (R2 is 54,4%, (4 there is significant correlation (p<0,01 of interest, motivation and attitude collaboratively towards learning result of grade VIII students at SMPN 13 Makassar. Co-efficient correlation (r is 0,861 and its effectiveness contribution (R2 is 74,1%,

  1. [Relationship between nurses' learning motivation inside/outside the workplace and job/ life satisfaction].

    Science.gov (United States)

    Nakamura, Emi

    2009-12-01

    For the purpose of clarifying the relationship between job, life-satisfaction and motivation for learning of nurses, a questionnaire survey by mailing method was conducted for 123 nurses (52.6% response rate) within the Kyushu area. The analysis was performed by comparing the mean value of scores for each satisfaction category and that of comprehensive satisfaction (hereafter refered to as satisfaction level) which were extracted by principal component analysis. It has been proved that the higher was the motivation for learning, the greater was the job satisfaction level (0.16 +/- 0.95 in H group; -0.56 +/- 0.99 in L group, P = 0.001) in the case of learning in the workplace, and that motivation for learning was decreased by their sentiment that their job and learning weren't evaluated properly or by their discontent they felt in participating in learning on a day-off and during off-hours. It has also been proved in the case of off-the-job learning that the higher was the motivation for learning, the greater was the job satisfaction level (0.10 +/- 1.01 in H group; -0.35 +/- 0.90 in L group, P = 0.040), and that their motivation for learning was decreased by feeling that their job and learning weren't evaluated properly or that they weren't satisfied with their physical and mental health. Also in other learnings, the higher was the motivation for learning, the greater was the job satisfaction level (0.08 +/-0.96 in H group; -0.27 +/- 1.11 in L group, P = 0.034), and the motivation for learning was decreased depending on the type of work, work-hours, and on the strain felt to be time-consuming.

  2. Learning the Relationship between Galaxy Spectra and Star Formation Histories

    Science.gov (United States)

    Lovell, Christopher; Acquaviva, Viviana; Iyer, Kartheik; Gawiser, Eric

    2018-01-01

    We explore novel approaches to the problem of predicting a galaxy’s star formation history (SFH) from its Spectral Energy Distribution (SED). Traditional approaches to SED template fitting use constant or exponentially declining SFHs, and are known to incur significant bias in the inferred SFHs, which are typically skewed toward younger stellar populations. Machine learning approaches, including tree ensemble methods and convolutional neural networks, would not be affected by the same bias, and may work well in recovering unbiased and multi-episodic star formation histories. We use a supervised approach whereby models are trained using synthetic spectra, generated from three state of the art hydrodynamical simulations, including nebular emission. We explore how SED feature maps can be used to highlight areas of the spectrum with the highest predictive power and discuss the limitations of the approach when applied to real data.

  3. Unsupervised Learning and Pattern Recognition of Biological Data Structures with Density Functional Theory and Machine Learning.

    Science.gov (United States)

    Chen, Chien-Chang; Juan, Hung-Hui; Tsai, Meng-Yuan; Lu, Henry Horng-Shing

    2018-01-11

    By introducing the methods of machine learning into the density functional theory, we made a detour for the construction of the most probable density function, which can be estimated by learning relevant features from the system of interest. Using the properties of universal functional, the vital core of density functional theory, the most probable cluster numbers and the corresponding cluster boundaries in a studying system can be simultaneously and automatically determined and the plausibility is erected on the Hohenberg-Kohn theorems. For the method validation and pragmatic applications, interdisciplinary problems from physical to biological systems were enumerated. The amalgamation of uncharged atomic clusters validated the unsupervised searching process of the cluster numbers and the corresponding cluster boundaries were exhibited likewise. High accurate clustering results of the Fisher's iris dataset showed the feasibility and the flexibility of the proposed scheme. Brain tumor detections from low-dimensional magnetic resonance imaging datasets and segmentations of high-dimensional neural network imageries in the Brainbow system were also used to inspect the method practicality. The experimental results exhibit the successful connection between the physical theory and the machine learning methods and will benefit the clinical diagnoses.

  4. Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI

    Directory of Open Access Journals (Sweden)

    Dieter Devlaminck

    2011-01-01

    Full Text Available Motor-imagery-based brain-computer interfaces (BCIs commonly use the common spatial pattern filter (CSP as preprocessing step before feature extraction and classification. The CSP method is a supervised algorithm and therefore needs subject-specific training data for calibration, which is very time consuming to collect. In order to reduce the amount of calibration data that is needed for a new subject, one can apply multitask (from now on called multisubject machine learning techniques to the preprocessing phase. Here, the goal of multisubject learning is to learn a spatial filter for a new subject based on its own data and that of other subjects. This paper outlines the details of the multitask CSP algorithm and shows results on two data sets. In certain subjects a clear improvement can be seen, especially when the number of training trials is relatively low.

  5. Organising for Learning - Adaptive and Innovative Learning in Customer-Supplier Relationships

    DEFF Research Database (Denmark)

    Christensen, Poul Rind; Damgaard, Torben; Munksgaard, Kristin B.

    2004-01-01

    Based on studies of supplier associations, the concepts of adaptived and innovative learning in an interoganisational setting are defined and discussed.......Based on studies of supplier associations, the concepts of adaptived and innovative learning in an interoganisational setting are defined and discussed....

  6. Performance Evaluation of Machine Learning Algorithms for Urban Pattern Recognition from Multi-spectral Satellite Images

    Directory of Open Access Journals (Sweden)

    Marc Wieland

    2014-03-01

    Full Text Available In this study, a classification and performance evaluation framework for the recognition of urban patterns in medium (Landsat ETM, TM and MSS and very high resolution (WorldView-2, Quickbird, Ikonos multi-spectral satellite images is presented. The study aims at exploring the potential of machine learning algorithms in the context of an object-based image analysis and to thoroughly test the algorithm’s performance under varying conditions to optimize their usage for urban pattern recognition tasks. Four classification algorithms, Normal Bayes, K Nearest Neighbors, Random Trees and Support Vector Machines, which represent different concepts in machine learning (probabilistic, nearest neighbor, tree-based, function-based, have been selected and implemented on a free and open-source basis. Particular focus is given to assess the generalization ability of machine learning algorithms and the transferability of trained learning machines between different image types and image scenes. Moreover, the influence of the number and choice of training data, the influence of the size and composition of the feature vector and the effect of image segmentation on the classification accuracy is evaluated.

  7. Investigating the Relationship between Learning Style Preferences and Teaching Collaboration Skills and Technology

    DEFF Research Database (Denmark)

    Kim, Seung L.; Sonnenwald, Diane H.

    2002-01-01

    This paper reports on an exploratory study that investigates the relationship between participants' learning style preferences and their perceptions of a professional workshop on collaboration and technology to support collaboration. The Learning Preference Scale-Students (LPSS) (Owens & Barnes...... style, and Group 2 showed a strong preference for competitive and cooperative learning styles. Group 1 rated the workshop more positively than Group 2. However, Group 2 reported a larger increase in self-efficacy compared to those in Group 1 (18.9% vs. 6.0%). Both groups provided different suggestions...... regarding the content of the workshop. Group 1 suggested adding more discussions and group exercises, whereas Group 2 suggested adding explicit theory or rules to govern behavior. These findings indicate that learning styles should be considered as a potential variable that influences learning outcomes...

  8. CRITICAL COMPONENTS OF ONLINE LEARNING READINESS AND THEIR RELATIONSHIPS WITH LEARNER ACHIEVEMENT

    Directory of Open Access Journals (Sweden)

    Harun CIGDEM

    2016-04-01

    Full Text Available This study aimed to examine the relationship between certain factors of online learning readiness and learners’ end-of-course achievements. The study was conducted at a two-year post-secondary Turkish military school within the scope of the course titled Computer Literacy, which was designed and implemented in a blended way. The data were collected from 155 post-secondary military students through an online questionnaire. Three sub-scales of Hung et al.’s Online Learning Readiness Scale were used to collect the data during the first two weeks of the course. Descriptive and inferential statistics, such as Pearson correlation coefficients and linear regression analyses were performed to analyze the data. The descriptive results of the study indicated that students’ motivation for online learning was higher than both their computer/Internet self-efficacy and their orientations to self-directed learning. The inferential results revealed that the students’ end-of-course grades had significantly positive relationships with their computer/Internet self-efficacy and self-directed learning orientations. Finally, the students’ self-direction towards online learning appeared to be the strongest predictor of their achievements within the course; whereas computer/Internet self-efficacy and motivation for learning did not predict the learner achievement significantly.

  9. Sexual harassment, special relationships and consensual engagement policies within higher learning institutions : a labour law perspective

    OpenAIRE

    2015-01-01

    LL.M. (Labour Law) A university is a community of adults in which close personal relationships between adults can develop. These institutions of higher learning recognise the need for policies prohibiting sexual harassment but few have addressed the subtle issues surrounding consensual and special amorous relationships between academic staff members and students and whether they have the right to regulate private behaviour between adults. The aim of this minor dissertation is to explore th...

  10. Adolescent dietary patterns in Fiji and their relationships with standardized body mass index.

    Science.gov (United States)

    Wate, Jillian T; Snowdon, Wendy; Millar, Lynne; Nichols, Melanie; Mavoa, Helen; Goundar, Ramneek; Kama, Ateca; Swinburn, Boyd

    2013-04-09

    Obesity has been increasing in adolescents in Fiji and obesogenic dietary patterns need to be assessed to inform health promotion. The objective of this study was to identify the dietary patterns of adolescents in peri-urban Fiji and determine their relationships with standardized body mass index (BMI-z). This study analysed baseline measurements from the Pacific Obesity Prevention In Communities (OPIC) Project. The sample comprised 6,871 adolescents aged 13-18 years from 18 secondary schools on the main island of Viti Levu, Fiji. Adolescents completed a questionnaire that included diet-related variables; height and weight were measured. Descriptive statistics and regression analyses were conducted to examine the associations between dietary patterns and BMI-z, while controlling for confounders and cluster effect by school. Of the total sample, 24% of adolescents were overweight or obese, with a higher prevalence among Indigenous Fijians and females. Almost all adolescents reported frequent consumption of sugar sweetened beverages (SSB) (90%) and low intake of fruit and vegetables (74%). Over 25% of participants were frequent consumers of takeaways for dinner, and either high fat/salt snacks, or confectionery after school. Nearly one quarter reported irregular breakfast (24%) and lunch (24%) consumption on school days, while fewer adolescents (13%) ate fried foods after school. IndoFijians were more likely than Indigenous Fijians to regularly consume breakfast, but had a high unhealthy SSB and snack consumption.Regular breakfast (p<0.05), morning snack (p<0.05) and lunch (p<0.05) consumption were significantly associated with lower BMI-z. Consumption of high fat/salt snacks, fried foods and confectionery was lower among participants with higher BMI-z. This study provides important information about Fijian adolescents' dietary patterns and associations with BMI-z. Health promotion should target reducing SSB, increasing fruit and vegetables consumption, and

  11. Physiological limitation at alpine treeline: relationships of threshold responses of conifers to their establishment patterns

    Science.gov (United States)

    Germino, M. J.; Lazarus, B.; Castanha, C.; Moyes, A. B.; Kueppers, L. M.

    2014-12-01

    An understanding of physiological limitations to tree establishment at alpine treeline form the basis for predicting how this climate-driven boundary will respond to climate shifts. Most research on this topic has focused on limitations related to carbon balance and growth of trees. Carbon balance could limit survival and establishment primarily through slow-acting, chronic means. We asked whether tree survival and thus establishment patterns reflect control by chronic effects in comparison to acute, threshold responses, such as survival of frost events. Seedling survivorship patterns were compared to thresholds in freezing (temperature causing leaf freezing, or freezing point, FP; and physiological response to freezing) and water status (turgor loss point, TLP; and related physiological adjustments). Subject seedlings were from forest, treeline, and alpine sites in the Alpine Treeline Warming Experiment in Colorado, and included limber and lodgepole pine (a low-elevation species), and Engelmann Spruce. Preliminary results show survival increases with seedling age, but the only corresponding increase in stress acclimation was photosynthetic resistance to freezing and TLP, not FP. Differences in survivorship among the species were not consistent with variation in FP but they generally agreed with variation in photosynthetic resistance to deep freezing and to early-season drought avoidance. Mortality of limber pine increased 35% when minimum temperatures decreased below -9C, which compares with FPs of >-8.6C, and about 1/3 of its mortality occurred during cold/wet events, particularly in the alpine. The other major correlate of mortality is midsummer drying events, as previously reported. Also in limber pine, the TLP for year-old seedlings (-2.5 MPa) corresponded with seasonal-drought mortality. In summary, we show several examples of correspondence in physiological thresholds to mortality events within a species, although the relationships are not strong. Across

  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. 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…

  14. Functional relationships between the hippocampus and dorsomedial striatum in learning a visual scene-based memory task in rats.

    Science.gov (United States)

    Delcasso, Sébastien; Huh, Namjung; Byeon, Jung Seop; Lee, Jihyun; Jung, Min Whan; Lee, Inah

    2014-11-19

    The hippocampus is important for contextual behavior, and the striatum plays key roles in decision making. When studying the functional relationships with the hippocampus, prior studies have focused mostly on the dorsolateral striatum (DLS), emphasizing the antagonistic relationships between the hippocampus and DLS in spatial versus response learning. By contrast, the functional relationships between the dorsomedial striatum (DMS) and hippocampus are relatively unknown. The current study reports that lesions to both the hippocampus and DMS profoundly impaired performance of rats in a visual scene-based memory task in which the animals were required to make a choice response by using visual scenes displayed in the background. Analysis of simultaneous recordings of local field potentials revealed that the gamma oscillatory power was higher in the DMS, but not in CA1, when the rat performed the task using familiar scenes than novel ones. In addition, the CA1-DMS networks increased coherence at γ, but not at θ, rhythm as the rat mastered the task. At the single-unit level, the neuronal populations in CA1 and DMS showed differential firing patterns when responses were made using familiar visual scenes than novel ones. Such learning-dependent firing patterns were observed earlier in the DMS than in CA1 before the rat made choice responses. The present findings suggest that both the hippocampus and DMS process memory representations for visual scenes in parallel with different time courses and that flexible choice action using background visual scenes requires coordinated operations of the hippocampus and DMS at γ frequencies. Copyright © 2014 the authors 0270-6474/14/3415534-14$15.00/0.

  15. Adult sibling experience, roles, relationships and future concerns - a review of the literature in learning disabilities.

    Science.gov (United States)

    Davys, Deborah; Mitchell, Duncan; Haigh, Carol

    2011-10-01

    This paper provides a review of the literature related to adult siblings of learning-disabled people. Siblings of learning-disabled people are often looked upon as next of kin when older parents die; however, there is little research regarding sibling views and wishes. A literature review of published peer-reviewed empirical research was undertaken. Electronic databases and citation tracking were used to collate data using key terms such as adult siblings and learning disability. Relevant articles were analysed, compared and contrasted. Six key themes emerged suggesting a varied impact of learning disability upon sibling lives in areas that include life choices, relationships, identity and future plans. Some siblings report a positive impact upon life, others state their lives are comparable with other adults who do not have a learning-disabled sibling and others still report a negative impact. Sibling roles and relationships are varied. Evidence suggests that sibling roles, relationships and experience are affected by life stage. Parents often have a primary care role for the disabled person, whilst siblings perform a more distant role; however, sibling involvement often rises when parents are no longer able to provide previous levels of support. Many factors appear to affect the sibling experience and uptake of roles including gender, life stage and circumstances, level of disability, health status and relationships between family members. Siblings are concerned about the future, particularly when parents are no longer able to provide support, and many appear to have expectations of future responsibilities regarding their disabled sibling. As siblings of people who have a learning disability are often expected by society to provide support, it is important that health and social care practitioners are aware of issues that may impact on this relationship. © 2011 Blackwell Publishing Ltd.

  16. Inference from correlated patterns: a unified theory for perceptron learning and linear vector channels

    Energy Technology Data Exchange (ETDEWEB)

    Kabashima, Y [Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama 226-8502 (Japan)], E-mail: kaba@dis.titech.ac.jp

    2008-01-15

    A framework to analyze inference performance in densely connected single-layer feed-forward networks is developed for situations where a given data set is composed of correlated patterns. The framework is based on the assumption that the left and right singular value bases of the given pattern matrix are generated independently and uniformly from Haar measures. This assumption makes it possible to characterize the objective system by a single function of two variables which is determined by the eigenvalue spectrum of the cross-correlation matrix of the pattern matrix. Links to existing methods for analysis of perceptron learning and Gaussian linear vector channels and an application to a simple but nontrivial problem are also shown.

  17. Inference from correlated patterns: a unified theory for perceptron learning and linear vector channels

    International Nuclear Information System (INIS)

    Kabashima, Y

    2008-01-01

    A framework to analyze inference performance in densely connected single-layer feed-forward networks is developed for situations where a given data set is composed of correlated patterns. The framework is based on the assumption that the left and right singular value bases of the given pattern matrix are generated independently and uniformly from Haar measures. This assumption makes it possible to characterize the objective system by a single function of two variables which is determined by the eigenvalue spectrum of the cross-correlation matrix of the pattern matrix. Links to existing methods for analysis of perceptron learning and Gaussian linear vector channels and an application to a simple but nontrivial problem are also shown

  18. Applying a Machine Learning Technique to Classification of Japanese Pressure Patterns

    Directory of Open Access Journals (Sweden)

    H Kimura

    2009-04-01

    Full Text Available In climate research, pressure patterns are often very important. When a climatologists need to know the days of a specific pressure pattern, for example "low pressure in Western areas of Japan and high pressure in Eastern areas of Japan (Japanese winter-type weather," they have to visually check a huge number of surface weather charts. To overcome this problem, we propose an automatic classification system using a support vector machine (SVM, which is a machine-learning method. We attempted to classify pressure patterns into two classes: "winter type" and "non-winter type". For both training datasets and test datasets, we used the JRA-25 dataset from 1981 to 2000. An experimental evaluation showed that our method obtained a greater than 0.8 F-measure. We noted that variations in results were based on differences in training datasets.

  19. Inference from correlated patterns: a unified theory for perceptron learning and linear vector channels

    Science.gov (United States)

    Kabashima, Y.

    2008-01-01

    A framework to analyze inference performance in densely connected single-layer feed-forward networks is developed for situations where a given data set is composed of correlated patterns. The framework is based on the assumption that the left and right singular value bases of the given pattern matrix are generated independently and uniformly from Haar measures. This assumption makes it possible to characterize the objective system by a single function of two variables which is determined by the eigenvalue spectrum of the cross-correlation matrix of the pattern matrix. Links to existing methods for analysis of perceptron learning and Gaussian linear vector channels and an application to a simple but nontrivial problem are also shown.

  20. The Relationships among Scientific Epistemic Beliefs, Conceptions of Learning Science, and Motivation of Learning Science: A Study of Taiwan High School Students

    Science.gov (United States)

    Ho, Hsin-Ning Jessie; Liang, Jyh-Chong

    2015-01-01

    This study explores the relationships among Taiwanese high school students' scientific epistemic beliefs (SEBs), conceptions of learning science (COLS), and motivation of learning science. The questionnaire responses from 470 high school students in Taiwan were gathered for analysis to explain these relationships. The structural equation modeling…

  1. Dual-modality impairment of implicit learning of letter-strings versus color-patterns in patients with schizophrenia.

    Science.gov (United States)

    Chiu, Ming-Jang; Liu, Kristina; Hsieh, Ming H; Hwu, Hai-Gwo

    2005-12-12

    Implicit learning was reported to be intact in schizophrenia using artificial grammar learning. However, emerging evidence indicates that artificial grammar learning is not a unitary process. The authors used dual coding stimuli and schizophrenia clinical symptom dimensions to re-evaluate the effect of schizophrenia on various components of artificial grammar learning. Letter string and color pattern artificial grammar learning performances were compared between 63 schizophrenic patients and 27 comparison subjects. Four symptom dimensions derived from a Chinese Positive and Negative Symptom Scale ratings were correlated with patients' artificial grammar implicit learning performances along the two stimulus dimensions. Patients' explicit memory performances were assessed by verbal paired associates and visual reproduction subtests of the Wechsler Memory Scales Revised Version to provide a contrast to their implicit memory function. Schizophrenia severely hindered color pattern artificial grammar learning while the disease affected lexical string artificial grammar learning to a lesser degree after correcting the influences from age, education and the performance of explicit memory function of both verbal and visual modalities. Both learning performances correlated significantly with the severity of patients' schizophrenic clinical symptom dimensions that reflect poor abstract thinking, disorganized thinking, and stereotyped thinking. The results of this study suggested that schizophrenia affects various mechanisms of artificial grammar learning differently. Implicit learning, knowledge acquisition in the absence of conscious awareness, is not entirely intact in patients with schizophrenia. Schizophrenia affects implicit learning through an impairment of the ability of making abstractions from rules and at least in part decreasing the capacity for perceptual learning.

  2. The relationship of learning motivation, achievement and satisfaction for nurses learning simple excel VBA information systems programming.

    Science.gov (United States)

    Lee, Ying Li; Chien, Tsai Feng; Kuo, Ming Chuan; Chang, Polun

    2014-01-01

    This study aims to understand the relationship between participating nurses' motivation, achievement and satisfaction before and after they learned to program in Excel Visual Basic for Applications (Excel VBA). We held a workshop to train nurses in developing simple Excel VBA information systems to support their clinical or administrative practices. Before and after the workshop, the participants were evaluated on their knowledge of Excel VBA, and a questionnaire was given to survey their learning motivation and satisfaction. Statistics softwares Winsteps and SPSS were used for data analysis. Results show that the participants are more knowledgeable about VBA as well as more motivated in learning VBA after the workshop. Participants were highly satisfied with the overall arrangement of the workshop and instructors, but didn't have enough confidence in promoting the application of Excel VBA themselves. In addition, we were unable to predict the participants' achievement by their demographic characteristics or pre-test motivation level.

  3. An Investigation of the Relationship between College Chinese EFL Students' Autonomous Learning Capacity and Motivation in Using Computer-Assisted Language Learning

    Science.gov (United States)

    Pu, Minran

    2009-01-01

    The purpose of the study was to investigate the relationship between college EFL students' autonomous learning capacity and motivation in using web-based Computer-Assisted Language Learning (CALL) in China. This study included three questionnaires: the student background questionnaire, the questionnaire on student autonomous learning capacity, and…

  4. Integrated Analysis of Alzheimer's Disease and Schizophrenia Dataset Revealed Different Expression Pattern in Learning and Memory.

    Science.gov (United States)

    Li, Wen-Xing; Dai, Shao-Xing; Liu, Jia-Qian; Wang, Qian; Li, Gong-Hua; Huang, Jing-Fei

    2016-01-01

    Alzheimer's disease (AD) and schizophrenia (SZ) are both accompanied by impaired learning and memory functions. This study aims to explore the expression profiles of learning or memory genes between AD and SZ. We downloaded 10 AD and 10 SZ datasets from GEO-NCBI for integrated analysis. These datasets were processed using RMA algorithm and a global renormalization for all studies. Then Empirical Bayes algorithm was used to find the differentially expressed genes between patients and controls. The results showed that most of the differentially expressed genes were related to AD whereas the gene expression profile was little affected in the SZ. Furthermore, in the aspects of the number of differentially expressed genes, the fold change and the brain region, there was a great difference in the expression of learning or memory related genes between AD and SZ. In AD, the CALB1, GABRA5, and TAC1 were significantly downregulated in whole brain, frontal lobe, temporal lobe, and hippocampus. However, in SZ, only two genes CRHBP and CX3CR1 were downregulated in hippocampus, and other brain regions were not affected. The effect of these genes on learning or memory impairment has been widely studied. It was suggested that these genes may play a crucial role in AD or SZ pathogenesis. The different gene expression patterns between AD and SZ on learning and memory functions in different brain regions revealed in our study may help to understand the different mechanism between two diseases.

  5. Science Teachers' Perceptions of the Relationship Between Game Play and Inquiry Learning

    Science.gov (United States)

    Mezei, Jessica M.

    The implementation of inquiry learning in American science classrooms remains a challenge. Teachers' perceptions of inquiry learning are predicated on their past educational experiences, which means outdated methods of learning may influence teachers' instructional approaches. In order to enhance their understanding and ultimately their implementation of inquiry learning, teachers need new and more relevant models. This study takes a preliminary step exploring the potential of game play as a valuable experience for science teachers. It has been proposed that game play and inquiry experiences can embody constructivist processes of learning, however there has been little work done with science teachers to systematically explore the relationship between the two. Game play may be an effective new model for teacher education and it is important to understand if and how teachers relate game playing experience and knowledge to inquiry. This study examined science teachers' game playing experiences and their perceptions of inquiry experiences and evaluated teacher's recognition of learning in both contexts. Data was collected through an online survey (N=246) and a series of follow-up interviews (N=29). Research questions guiding the study were: (1) What is the nature of the relationship between science teachers' game experience and their perceptions of inquiry? (2) How do teachers describe learning in and from game playing as compared with inquiry science learning? and (3) What is the range of similarities and differences teachers articulate between game play and inquiry experiences?. Results showed weak quantitative links between science teachers' game experiences and their perceptions of inquiry, but identified promising game variables such as belief in games as learning tools, game experiences, and playing a diverse set of games for future study. The qualitative data suggests that teachers made broad linkages in terms of parallels of both teaching and learning. Teachers

  6. Active Learning Classrooms and Educational Alliances: Changing Relationships to Improve Learning

    Science.gov (United States)

    Baepler, Paul; Walker, J. D.

    2014-01-01

    This chapter explores the "educational alliance" among students and between students and instructors. We contend that this is a framework that can help us understand how active learning classrooms facilitate positive educational outcomes.

  7. The Relationship between Interpersonal Intelligence, Reading Activity and Vocabulary Learning among Iranian EFL Learners

    Directory of Open Access Journals (Sweden)

    Mustapha Hajebi

    2018-03-01

    Full Text Available The aim of this paper was to describe the relationship between Interpersonal Intelligence and the learners' vocabulary learning through teaching reading activity so as to see whether this type of intelligence contributes to better vocabulary learning and whether there is any significant relationship between the performance of participants with interpersonal intelligence and their vocabulary learning in reading activity or not. This quantitative study consisted of a vocabulary test, a reading passage, an English proficiency test and a Multiple Intelligences questionnaire followed the study. A pre- test and post -test were conducted to get the differences in the students‟ post- test vocabulary score and their pre- test vocabulary score served as their gain score in vocabulary knowledge through reading. The comparison between the students‟ scores showed that there was no significant difference in the final performance of two groups. Therefore, this study doesn‟t support the idea of relationship between interpersonal intelligence and vocabulary learning through reading, but as a positive point, the present study indicated that reading texts can greatly assist the learners in developing the level of their vocabulary knowledge. This study proved to be useful for Iranian EFL learners and also EFL teachers can adopt the technique in their classes to advance their students' language learning. A comparison of the results after the next course cycle will then allow us to assess the effects of enhancing vocabulary knowledge, which would not be possible without reading texts.

  8. The relationship between novel word learning and anomia treatment success in adults with chronic aphasia.

    Science.gov (United States)

    Dignam, Jade; Copland, David; Rawlings, Alicia; O'Brien, Kate; Burfein, Penni; Rodriguez, Amy D

    2016-01-29

    Learning capacity may influence an individual's response to aphasia rehabilitation. However, investigations into the relationship between novel word learning ability and response to anomia therapy are lacking. The aim of the present study was to evaluate the novel word learning ability in post-stroke aphasia and to establish the relationship between learning ability and anomia treatment outcomes. We also explored the influence of locus of language breakdown on novel word learning ability and anomia treatment response. 30 adults (6F; 24M) with chronic, post-stroke aphasia were recruited to the study. Prior to treatment, participants underwent an assessment of language, which included the Comprehensive Aphasia Test and three baseline confrontation naming probes in order to develop sets of treated and untreated items. We also administered the novel word learning paradigm, in which participants learnt novel names associated with unfamiliar objects and were immediately tested on recall (expressive) and recognition (receptive) tasks. Participants completed 48 h of Aphasia Language Impairment and Functioning Therapy (Aphasia LIFT) over a 3 week (intensive) or 8 week (distributed) schedule. Therapy primarily targeted the remediation of word retrieval deficits, so naming of treated and untreated items immediately post-therapy and at 1 month follow-up was used to determine therapeutic response. Performance on recall and recognition tasks demonstrated that participants were able to learn novel words; however, performance was variable and was influenced by participants' aphasia severity, lexical-semantic processing and locus of language breakdown. Novel word learning performance was significantly correlated with participants' response to therapy for treated items at post-therapy. In contrast, participants' novel word learning performance was not correlated with therapy gains for treated items at 1 month follow-up or for untreated items at either time point. Therapy intensity

  9. Relationship between homocysteine and non-dipper pattern in patients with type 2 diabetes mellitus.

    Science.gov (United States)

    Korkmaz, Serdal; Yilmaz, Abdulkerim; Yildiz, Gürsel; Kiliçli, Fatih; Içağasioğlu, Serhat

    2012-07-01

    The rate of reduction of nocturnal blood pressure (NBP) is lesser than normal in patients with type 2 diabetes mellitus (type 2 DM). Hyperhomocysteinemia (HHC) disrupts vascular structure and function, no matter the underlying causes. The risk of development of vascular disease is greater in diabetic patients with hyperhomocysteinemia than in patients with normal homocystein levels. The aim of the study was to investigate whether there are differences of homocystein levels in dipper and non-dippers patients with type 2 DM. We compared 50 patien-ts (33 females, 17 males) with type 2 DM and 35 healthy individuals (18 females, 17 males ) in a control group. Ambulatory blood pressure monitoring (ABPM) was performed and homocysteine levels were measured in all patients. We found that the percentage of non-dipper pattern was 72% in patients with type 2 DM and 57% in control group. In diabetic and control individuals, homocystein levels were higher in non-dipper (respectively 13.4 ± 8.1 µmol/L and 11.8 ± 5 µmol/L) than in dipper subjects (respectively, 11.8 ± 5.8 µmol/L and 10.1 ± 4.2 µmol/L), but there was no significant difference between the two groups (respectively, p = 0.545, p = 0.294). In both groups, homocystein levels were higher in non-dipper than in dipper participants, but there was no significant difference between the groups. High homocystein levels and the non-dipper pattern increases cardiovascular risk. Therefore, the relationship between nocturnal blood pressure changes and homocystein levels should be investigated in a larger study.

  10. Vegetation pattern of Istanbul from the Landsat data and the relationship with meteorological parameters

    Directory of Open Access Journals (Sweden)

    Z. Aslan

    1994-05-01

    Full Text Available This paper discusses the preliminary results of a study on the vegetation pattern and its relationship with meteorological parameters in and around Istanbul. The study covers an area of over 6800 km2 consisting of urban and suburban centers, and uses the visible and near-infrared bands of Landsat. The spatial variation of the Normalized Difference Vegetation Index (NDVI and meteorological parameters such as sensible heat flux, momentum flux, relative humidity, moist static energy, rainfall rate and temperature have been investigated based on observations in ten stations in the European (Thracian and Anatolian parts of Istanbul. NDVI values have been evaluated from the Landsat data for a single day, viz. 24 October 1986, using ERDAS in ten different classes. The simultaneous spatial variations of sensible heat and momentum fluxes have been computed from the wind and temperature profiles using the Monin-Obukhov similarity theory. The static energy variations are based on the surface meteorological observations. There is very good correlation between NDVI and rainfall rate. Good correlation also exists between: NDVI and relative humidity; NDVI, sensible heat flux and relative humidity; NDVI, momentum flux and emissivity; and NDVI, sensible heat flux and emissivity. The study suggests that the momentum flux has only marginal impact on NDVI. Due to rapid urbanization,the coastal belt is characterized by reduced NDVI compared to the interior areas, suggesting that thermodynamic discontinuities considerably influence the vegetation pattern. This study is useful for the investigation of small-scale circulation models, especially in urban and suburban areas where differential heating leads to the formation of heat islands. In the long run, such studies on a global scale are vital to gain accurate, timely information on the distribution of vegetation on the earth's surface. This may lead to an understanding of how changes in land cover affect phenomena as

  11. Tendencies of extreme values on rainfall and temperature and its relationship with teleconnection patterns

    Science.gov (United States)

    Taboada, J. J.; Cabrejo, A.; Guarin, D.; Ramos, A. M.

    2009-04-01

    It is now very well established that yearly averaged temperatures are increasing due to anthropogenic climate change. In the area of Galicia (NW Spain) this trend has also been determined. Rainfall does not show a clear tendency in its yearly accumulated values. The aim of this work is to study different extreme indices of rainfall and temperatures analysing variability and possible trends associated to climate change. Station data for the study was provided by the CLIMA database of the regional government of Galicia (NW Spain). The definition of the extreme indices was taken from the joint CCl/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and Indices (ETCCDI) This group has defined a set of standard extreme values to simplify intercomparison of data from different regions of the world. For the temperatures in the period 1960-2006, results show a significant increase of the number of days with maximum temperatures above the 90th percentile. Furthermore, a significant decrease of the days with maximum temperatures below the 10th percentile has been found. The tendencies of minimum temperatures are reverse: fewer nights with minimum temperatures below 10th percentile, and more with minimum temperatures above 90th percentile. Those tendencies can be observed all over the year, but are more pronounced in summer. This trend is expected to continue in the next decades because of anthropogenic climate change. We have also calculated the relationship between the above mentioned extreme values and different teleconnection patterns appearing in the North Atlantic area. Results show that local tendencies are associated with trends of EA (Eastern Atlantic) and SCA (Scandinavian) patterns. NAO (North Atlantic Oscillation) has also some relationship with these tendencies, but only related with cold days and nights in winter. Rainfall index do not show any clear tendency on the annual scale. Nevertheless, the count of days when precipitation is greater than 20mm (R20

  12. A pedagogical design pattern framework for sharing experiences and enhancing communities of practice within online and blended learning

    Directory of Open Access Journals (Sweden)

    Chresteria Neutszky-Wulff

    2016-12-01

    Full Text Available ”Design patterns” were originally proposed in architecture and later in software engineering as a methodology to sketch and share solutions to recurring design problems. In recent years ”pedagogical design patterns” have been introduced as a way to sketch and share good practices in teaching and learning; specifically in the context of technology-enhanced learning (e-learning. Several attempts have been made to establish a framework for describing and sharing such e-learning patterns, but so far they have had limited success. At a series of workshops in a competence-development project for teachers at the University of Copenhagen a new and simpler pedagogical design pattern framework was developed for interfaculty sharing of experiences and enhancing communities of practice in relation to online and blended learning across the university. In this study, the new pedagogical design pattern framework is applied to describe the learning design in four online and blended learning courses within different academic disciplines: Classical Greek, Biostatistics, Environmental Management in Europe, and Climate Change Impacts, Adaptation and Mitigation. Future perspectives for using the framework for developing new E-learning patterns for online and blended learning courses are discussed.

  13. Relationship between English Learning Motivation Types and Self-Identity Changes among Chinese Students

    Science.gov (United States)

    Yihong, Gao; Yuan, Zhao; Ying, Cheng; Yan, Zhou

    2007-01-01

    This study investigated the relationship between English learning motivation types and self-identity changes among university students in the People's Republic of China. The sample obtained from a stratified sampling consisted of 2,278 undergraduates from 30 universities in 29 regions. The instrument was a Likert-scale questionnaire which included…

  14. 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…

  15. Relationship between EFL In-service Teachers’ Language Learning Strategies and their Beliefs toward Teaching Methodologies

    Directory of Open Access Journals (Sweden)

    Musa Farmanlu

    2014-11-01

    Full Text Available By the advent of new theories and approaches toward language teaching, a lot of attention has been paid to the role of those approaches on language learners. Superiority of psychology and linguistics in the area of language teaching urged scholars to develop new theories and techniques through a defined procedure. Most of the time the role of teacher’s experience as learner has been neglected. The present study was an attempt to investigate the relationship between EFL In-service teachers’ language learning strategies and their beliefs toward teaching methodologies. To find the relationship, a questionnaire was applied. The questionnaire in the study consists of three measures: (1 the individual background; (2 strategy inventory for language learning (Version 7.0 for ESL/EFL, Oxford, 1990; and, (3 beliefs toward English teaching methodologies (Chen, 2005. It was given to 252 in-service English teachers (136 female, 116 male majoring in TEFL. To analyze the quantitative data of the present study, descriptive as well as inferential analysis including ANOVA and Pearson’s correlations were used to investigate the relationships between language learning strategies and teaching beliefs toward EFL methodologies. Based on the teachers’ answers to the questionnaire, there was a meaningful relationship between language learning strategies and teacher’s methodology. The information provided in the present research can be helpful for teachers, policy holders of institutes and material developers. This study has also some implications for the researchers interested in teacher’s education studies.

  16. The Relationship between Students' Leadership Style and Self-Directed Learning Level

    Science.gov (United States)

    Strong, Robert; Wynn, J. Thomas; Irby, Travis L.; Lindner, James R.

    2013-01-01

    Leadership is a versatile process that requires working with others in personal and professional relationships to accomplish a goal. Cultivating leadership skills is important for students who are developing professional competencies. Leadership characteristics and abilities should be evaluated to assist in learning student traits to better…

  17. The Relationship between Gender, Motivation and Achievement in Learning English as a Foreign Language

    Science.gov (United States)

    Becirovic, Senad

    2017-01-01

    This study deals with the research into the relationship between gender, motivation and achievement in learning English as a foreign language. A good command of English is of paramount importance for an individual to be successful in numerous aspects of life such as professional, personal and educational. The aim of this research was to determine…

  18. Investigating the Relationships between Approaches to Learning, Learner Identities and Academic Achievement in Higher Education

    Science.gov (United States)

    Herrmann, K. J.; Bager-Elsborg, A.; McCune, V.

    2017-01-01

    This paper considers relationships between approaches to learning, learner identities, self-efficacy beliefs and academic achievement in higher education. In addition to already established survey instruments, a new scale, "subject area affinity," was developed. The scale explores the extent to which students identify with their area of…

  19. Individual Differences in Working Memory Capacity and Attention, and Their Relationship with Students' Approaches to Learning

    Science.gov (United States)

    Kyndt, Eva; Cascallar, Eduardo; Dochy, Filip

    2012-01-01

    Past research has shown that working memory capacity, attention and students' approaches to learning are all important predictors for educational achievement. In this study the interrelations between these three variables are investigated. Participants were 128 university students. Results show a negative relationship between attention and deep…

  20. The Relationship between Principal Emotional Intelligence and the School as a Learning Organization

    Science.gov (United States)

    DeRoberto, Thomas

    2011-01-01

    The purpose of this study was to determine the nature of the relationship between the emotional intelligence of the school principal and the school as a learning organization. These constructs originated in the business world and have recently been examined within the context of education. Studies on principal emotional intelligence have shown the…

  1. Organisational Learning and the Organisational Life Cycle: The Differential Aspects of an Integrated Relationship in SMEs

    Science.gov (United States)

    Tam, Steven; Gray, David E.

    2016-01-01

    Purpose: The purpose of this study is to relate the practice of organisational learning in small- and medium-sized enterprises (SMEs) to the organisational life cycle (OLC), contextualising the differential aspects of an integrated relationship between them. Design/methodology/approach: It is a mixed-method study with two consecutive phases. In…

  2. An Examination of Relationships between Psychosocial Satisfaction Scales in an Online Student Learning Environment

    Science.gov (United States)

    Bookout, James Marshall, Jr.

    2010-01-01

    Research suggests that students who are satisfied with their learning experiences are typically successful and there is a fundamental theory that suggests if the expectations of students are achieved they will be return customers. This study examined the relationships between the psychosocial satisfaction scales in an online student learning…

  3. The Relationship between Perceptual Learning Style Preferences and Multiple Intelligences among Iranian EFL Learners

    Science.gov (United States)

    Baleghizadeh, Sasan; Shayeghi, Rose

    2014-01-01

    The purpose of the present study is to investigate the relationships between preferences of Multiple Intelligences and perceptual/social learning styles. Two self-report questionnaires were administered to a total of 207 male and female participants. Pearson correlation results revealed statistically significant positive relations between…

  4. Relationship between Professional Learning Community, Bureaucratic Structure and Organisational Trust in Primary Education Schools

    Science.gov (United States)

    Kalkan, Fatma

    2016-01-01

    This research uses relational survey method to determine the relationship between professional learning community, bureaucratic structure and organisational trust according to the perceptions of teachers who work in primary education schools. Data were collected from 805 teachers who work in primary education schools in the districts (Altindag,…

  5. Do HRD Investment Strategies Pay? Exploring the Relationship between Lifelong Learning and Psychological Contracts.

    Science.gov (United States)

    Martin, Graeme; Pate, Judy; McGoldrick, Jim

    1999-01-01

    A four-year study of a Scottish manufacturer's employee lifelong learning program discovered a positive relationship between the program and employee perceptions of careers, fairness, and the long-term "psychological contract." Due to reduction in the employer's commitment to job security, employees were beginning to view the program as…

  6. The Link between Organizational Learning Culture and Customer Satisfaction: Confirming Relationship and Exploring Moderating Effect

    Science.gov (United States)

    Pantouvakis, Angelos; Bouranta, Nancy

    2013-01-01

    Purpose: The aim of this paper is to develop a theoretical framework and conduct an empirical study across different service sectors to investigate the inter-relationships between organizational learning culture, employee job satisfaction and their impact on customer satisfaction. It also aims to examine an individual-level variable (educational…

  7. Relationship between Students' Emotional Intelligence, Social Bond, and Interactions in Online Learning

    Science.gov (United States)

    Han, Heeyoung; Johnson, Scott D.

    2012-01-01

    The purpose of the study was to investigate the relationship between students' emotional intelligence, social bond, and their interactions in an online learning environment. The research setting in this study was a 100% online master's degree program within a university located in the Midwest of the United States. Eighty-four students participated…

  8. Relationships between Learning Disability, Executive Function, and Psychopathology in Children with ADHD

    Science.gov (United States)

    Mattison, Richard E.; Mayes, Susan Dickerson

    2012-01-01

    Objective: Learning disabilities (LD), executive function (EF), and psychopathology were investigated to clarify their relationships in 595 children with ADHD. Method: Standard instruments for IQ, achievement, EF, and parent and teacher ratings of psychopathology were obtained at the time of outpatient evaluation. Results: Comparisons between the…

  9. The Relationship between Vocabulary Learning Strategies and Breadth and Depth of Vocabulary Knowledge

    Science.gov (United States)

    Zhang, Xian; Lu, Xiaofei

    2015-01-01

    This study investigated the relationship between vocabulary learning strategies and vocabulary breadth and depth knowledge. One hundred and fifty first-year university students in China took the Vocabulary Levels Test, a meaning recall task, and the Depth of Vocabulary Knowledge Test. The first two tests were used to elicit two types of vocabulary…

  10. The Relationship between Gross Motor Skills and Academic Achievement in Children with Learning Disabilities

    Science.gov (United States)

    Westendorp, Marieke; Hartman, Esther; Houwen, Suzanne; Smith, Joanne; Visscher, Chris

    2011-01-01

    The present study compared the gross motor skills of 7- to 12-year-old children with learning disabilities (n = 104) with those of age-matched typically developing children (n = 104) using the Test of Gross Motor Development-2. Additionally, the specific relationships between subsets of gross motor skills and academic performance in reading,…

  11. Determination of the Relationship between 8th Grade Students Learning Styles and TIMSS Mathematics Achievement

    Science.gov (United States)

    Yilmaz, Gül Kaleli; Koparan, Timur; Hanci, Alper

    2016-01-01

    In this study, it is aimed to determination of the relationship between learning styles and TIMSS mathematics achievements of eighth grade students. Correlational research design that is one of the quantitative research methods, was used in this study. The sample of the research consists of 652 8th grade students 347 are male and 305 are female…

  12. Students’ Approaches to Learning and its Relationship with their Academic Engagement and Qualitative Performance

    Directory of Open Access Journals (Sweden)

    Mohammad Amin Bahrami

    2018-03-01

    Conclusion: Disapproval of the relationship between students’ approaches to learning and their qualitative performance can be attributed to the students’ performance assessment mechanisms. At the same time, due to the heterogeneity in the results of studies in this field, further studies are considered necessary.

  13. The Relationship between Project-Based Learning and Rigor in STEM-Focused High Schools

    Science.gov (United States)

    Edmunds, Julie; Arshavsky, Nina; Glennie, Elizabeth; Charles, Karen; Rice, Olivia

    2016-01-01

    Project-based learning (PjBL) is an approach often favored in STEM classrooms, yet some studies have shown that teachers struggle to implement it with academic rigor. This paper explores the relationship between PjBL and rigor in the classrooms of ten STEM-oriented high schools. Utilizing three different data sources reflecting three different…

  14. The Relationships between Critical Thinking Skills and Learning Styles of Gifted Students

    Science.gov (United States)

    Dilekli, Yalçin

    2017-01-01

    The current study investigates the relationship between critical thinking skills and learning styles of mentally gifted students. The participants were 225 gifted students in Turkey attending Science and Art Centres which are after-school activity centers for mentally gifted students. Participants were 9-15 years old and were attending secondary…

  15. The Relationship between Global Competence and Language Learning Motivation: An Empirical Study in Critical Language Classrooms

    Science.gov (United States)

    Semaan, Gaby; Yamazaki, Kasumi

    2015-01-01

    This article examines the relationship between global competence and second language learning motivation in critical language classrooms. Data were collected from 137 participants who were studying critical languages (Arabic, Chinese, Japanese, Korean, Persian) at two universities on the East and West Coasts of the United States, using a 30-item…

  16. The Relationship between EFL Learners' Language Learning Strategy Use and Achievement

    Science.gov (United States)

    Balci, Özgül; Ügüten, Selma Durak

    2018-01-01

    The primary purpose of this study was to examine the relationship between language learning strategy use and foreign language achievement, focusing on differences in gender. A total of 263 English as a foreign language students enrolled in English preparatory class program at Necmettin Erbakan University, School of Foreign Languages participated…

  17. The relationship between gross motor skills and academic achievement in children with learning disabilities

    NARCIS (Netherlands)

    Westendorp, Marieke; Hartman, Esther; Houwen, Suzanne; Smith, Joanne; Visscher, Chris

    2011-01-01

    The present study compared the gross motor skills of 7- to 12-year-old children with learning disabilities (n = 104) with those of age-matched typically developing children (n = 104) using the Test of Gross Motor Development-2. Additionally, the specific relationships between subsets of gross motor

  18. Teacher-Child Relationships and Classroom-Learning Behaviours of Children with Developmental Language Disorders

    Science.gov (United States)

    Rhoad-Drogalis, Anna; Justice, Laura M.; Sawyer, Brook E.; O'Connell, Ann A.

    2018-01-01

    Background: Children with developmental language disorders (DLDs) often struggle with classroom behaviour. No study has examined whether positive teacher-child relationships may act as a protective factor for children with DLDs in that these serve to enhance children's important classroom-learning behaviours. Aims: To examine the association…

  19. Analyzing the Relationship between Prospective Teachers' Educational Philosophies and Their Teaching-Learning Approaches

    Science.gov (United States)

    Sahan, Hasan Huseyin; Terzi, Ali Riza

    2015-01-01

    The purpose of this research is to analyze the relationship between prospective teachers' educational philosophies and their teaching-learning approaches. The research is a correlational study and a survey model. The working group of the research consists of 328 prospective teachers who received pedagogical formation at Balikesir University/Turkey…

  20. The Relationship between Pre-Service Teachers' Lifelong Learning Tendencies and Teaching Profession Anxiety Levels

    Science.gov (United States)

    Özen, Rasit; Öztürk, Duygu Saniye

    2016-01-01

    The present study aims to examine the relationship between pre-service teachers' lifelong learning tendencies and teaching profession anxiety levels with respect to certain variables (their gender and subject area) and is designed as a survey study. The fourth year pre-service teachers (n=455) in the spring semester of the 2015-2016 academic year…

  1. Exploring the Relationship between Undergraduate Service-Learning Experiences and Global Perspective-Taking

    Science.gov (United States)

    Engberg, Mark E.; Fox, Katherine

    2011-01-01

    This study examines the relationship between service-learning participation and global perspective-taking. A global perspective is broadly defined to include both the acquisition of knowledge, attitudes, and skills important to intercultural communication and the development of more complex epistemological processes, identities, and interpersonal…

  2. The Relationship of Vocabulary Learning Strategies and Self-Efficacy with Medical English and Terminology.

    Science.gov (United States)

    Wang, Ya-Huei; Kao, Pan-Fu; Liao, Hung-Chang

    2016-02-01

    This study examined the relationship between the use of vocabulary learning strategies and self-efficacy in medical English learning, and whether after an initial six-week course to master the basics of medical terminology, those with higher use of vocabulary learning strategies and those with a higher degree of self-efficacy would have significant score improvements in the medical English proficiency. Second-year medical students (N = 115; M age = 19.6, SD = 0.5; 82 men, 33 women) participated in the study. A one-group pretest-posttest design was used. Measures included medical English tests, the English Vocabulary Learning Strategies Survey (EVLSS), and the English Learning Self-Efficacy Scale (ELSES). Results showed that there was no significant correlation between vocabulary learning strategies and English learning self-efficacy. In addition, as a whole, vocabulary learning strategies and self-efficacy significantly predicted students' score improvements in medical English proficiency. © The Author(s) 2016.

  3. The Relationships between Language Learning Strategies and Positive Emotions among Malaysian ESL

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    Mohammad Mohammadipour

    2018-01-01

    Full Text Available Emotions are an indispensable part of second language learning. The aim of this study is to determine the relationship between the use of language learning strategies and positive emotions. The present study adopted a sequential mixed methods design. The participants were 300 Malaysian ESL undergraduates selected through stratified random sampling from 5 public universities in Malaysia. The quantitative data were collected through two sets of questionnaires: (a Oxford's (1990 Strategy Inventory for Language Learning (SILL, and (b Fredrickson's (2009 modified Differential Emotional Scale (mDES. The qualitative data were gathered through semi-structured interviews. With regard to the quantitative data analysis, a series of t-tests and correlational analyses were used. The data from the interviews were analysed qualitatively. A positive significant correlation was found between positive emotions and overall language learning strategy use. Also, the qualitative results of the study indicated that the learners who experienced more positive emotions tended to use a greater variety of language learning strategies. The findings of the study emphasise the importance of students’ positive emotions in their use of language learning strategies. It might be suggested that teachers by designing the classroom settings and instructions which promote positive emotions can inspire learners to use language learning strategies more frequently and with a greater variety which in sequence relate to learners’ language learning proficiency.

  4. Relationship between Pesticide Metabolites, Cytokine Patterns, and Asthma-Related Outcomes in Rural Women Workers

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    Hussein H. Mwanga

    2016-09-01

    Full Text Available The objective of this study was to investigate the relationship between exposure to organophosphate (OP and pyrethroid (PYR pesticides with serum cytokine patterns and asthma-related outcomes among rural women workers. A cross-sectional study was conducted among rural women (n = 211, including those working and living on farms and nearby town dwellers. Pesticide exposure was assessed using urinary metabolite concentrations of OP and PYR pesticides. Health outcome assessment was ascertained through the European Community Respiratory Health Survey (ECRHS questionnaire, fractional exhaled nitric oxide (FeNO, and serum cytokines associated with asthma. The prevalence of doctor-diagnosed asthma was 11%, adult-onset asthma 9%, and current asthma 6%. In this population, the proportion of T helper type 2 (Th2 cytokines (interleukin (IL-4, IL-5, and IL-13 detectable in subjects was between 18% and 40%, while the proportion of non-Th2 cytokines (IL-6, IL-8, IL-10, IL-17, and interferon gamma was between 35% and 71%. Most Th2 and non-Th2 cytokines were positively associated with either OP or PYR metabolites. Non-Th2 cytokines showed much stronger associations with OP metabolites (Dimethyl phosphate OR = 4.23; 95% CI: 1.54–11.65 than Th2 cytokines (Dimethyl phosphate OR = 1.69; 95% CI: 0.83–3.46. This study suggests that exposure to most OP and some PYR pesticides may be associated with asthma-related cytokines, with non-Th2 cytokines demonstrating consistently stronger relationships.

  5. Patterns of interactions at grade 5 classroom in learning the topic of statistics viewed from cognitive load theory

    Science.gov (United States)

    Setianingsih, R.

    2018-01-01

    The nature of interactions that occurs among teacher, students, learning sources, and learning environment creates different settings to enhance learning. Any setting created by a teacher is affected by 3 (three) types of cognitive load: intrinsic cognitive load, extraneous cognitive load, and germane cognitive load. This study is qualitative in nature, aims to analyse the patterns of interaction that are constituted in mathematics instructions by taking into account the cognitive load theory. The subjects of this study are 21 fifth-grade students who learn mathematics in small groups and whole-class interactive lessons. The data were collected through classroom observations which were videotaped, while field notes were also taken. The data analysis revealed that students engaged in productive interaction and inquiry while they were learning mathematics in small groups or in whole class setting, in which there was a different type of cognitive load that dominantly affecting the learning processes at each setting. During learning mathematics in whole class setting, the most frequently found interaction patterns were to discuss and compare solution based on self-developed models, followed by expressing opinions. This is consistent with the principles of mathematics learning, which gives students wide opportunities to construct mathematical knowledge through individual learning, learning in small groups as well as learning in whole class settings. It means that by participating in interactive learning, the students are habitually engaged in productive interactions and high level of mathematical thinking.

  6. Nurse Educator Perceptions of the Importance of Relationship in Online Teaching and Learning.

    Science.gov (United States)

    Smith, Yvonne M; Crowe, Alicia R

    The purpose of this study was to understand the perceptions of teaching nursing students in online environments as experienced by nursing educators who have been teaching online for a minimum of 2 years. The study used an interview-based qualitative descriptive design. Semistructured interviews with 10 full-time nurse educators were conducted. The participants represented a range of ranks and teaching experience. Analysis involved a constant comparative process of initial and focused coding. Relationships were important to these nurse educators, and there was an interconnected nature among (a) student engagement and learning, (b) "knowing students," and (c) helping students meet their needs. Although different in how they experienced these elements, they seemed to share a sense that you have to know your students to help them meet their needs, and that you have to help them meet their needs so that they can learn, and building relationships within the online environment is key to all if this. Relationships are the heart of nursing and, for these nurse educators, a key aspect of nursing education. Having a strong relationship between nurse educators and nursing students supports student engagement in learning online. With continually increasing online nurse education, understanding these relationships is important to improve nursing education and consequently improve nursing practice. Copyright © 2016 Elsevier Inc. All rights reserved.

  7. Technology, Educator Intention, and Relationships in Virtual Learning Spaces: A Qualitative Metasynthesis.

    Science.gov (United States)

    Gdanetz, Lorraine M; Hamer, Mika K; Thomas, Eileen; Tarasenko, Lindsey M; Horton-Deutsch, Sara; Jones, Jacqueline

    2018-04-01

    A main concern that remains with the continued growth of online nursing education programs is the way educator and student relationships can be affected by new technologies. This interpretive study aims to gain an understanding of how technology influences the development of interpersonal relationships between the student and faculty in a virtual learning environment. Using an established structured approach to qualitative metasynthesis, a search was conducted using PubMed, EBSCO, CINAHL, Medline, ProQuest, Ovid Nursing databases, and Google Scholar, focused on caring and relational aspects of online nursing education. Technology alters communication, thereby positioning the intentionality of the educator at the heart of interpersonal relationship development in virtual learning spaces. This interpretive synthesis of prior qualitative research supports the development of a framework for online nursing courses, the need for continuing education of nursing faculty, the value of caring intentions, and enhancement of the educator's technological proficiency. [J Nurs Educ. 2018;57(4):197-202.]. Copyright 2018, SLACK Incorporated.

  8. A Review of the Relationship between Novelty, Intrinsic Motivation and Reinforcement Learning

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    Siddique Nazmul

    2017-11-01

    Full Text Available This paper presents a review on the tri-partite relationship between novelty, intrinsic motivation and reinforcement learning. The paper first presents a literature survey on novelty and the different computational models of novelty detection, with a specific focus on the features of stimuli that trigger a Hedonic value for generating a novelty signal. It then presents an overview of intrinsic motivation and investigations into different models with the aim of exploring deeper co-relationships between specific features of a novelty signal and its effect on intrinsic motivation in producing a reward function. Finally, it presents survey results on reinforcement learning, different models and their functional relationship with intrinsic motivation.

  9. Relationship between abstract thinking and eye gaze pattern in patients with schizophrenia

    Science.gov (United States)

    2014-01-01

    Background Effective integration of visual information is necessary to utilize abstract thinking, but patients with schizophrenia have slow eye movement and usually explore limited visual information. This study examines the relationship between abstract thinking ability and the pattern of eye gaze in patients with schizophrenia using a novel theme identification task. Methods Twenty patients with schizophrenia and 22 healthy controls completed the theme identification task, in which subjects selected which word, out of a set of provided words, best described the theme of a picture. Eye gaze while performing the task was recorded by the eye tracker. Results Patients exhibited a significantly lower correct rate for theme identification and lesser fixation and saccade counts than controls. The correct rate was significantly correlated with the fixation count in patients, but not in controls. Conclusions Patients with schizophrenia showed impaired abstract thinking and decreased quality of gaze, which were positively associated with each other. Theme identification and eye gaze appear to be useful as tools for the objective measurement of abstract thinking in patients with schizophrenia. PMID:24739356

  10. The relationship between the menstrual cycle and cortisol secretion: Daily and stress-invoked cortisol patterns.

    Science.gov (United States)

    Montero-López, Eva; Santos-Ruiz, Ana; García-Ríos, M Carmen; Rodríguez-Blázquez, Manuel; Rogers, Heather L; Peralta-Ramírez, María Isabel

    2018-03-29

    The menstrual cycle involves significant changes in hormone levels, causing physical and psychological changes in women that are further influenced by stress. The aim of this study was to understand the relationship between menstrual cycle phase and salivary cortisol patterns during the day as well as the salivary cortisol response to the Virtual Reality Version of the Trier Social Stress Test (TSST-VR). Forty two women not taking oral contraceptives (24 in follicular phase and 18 in luteal phase) participated in the study. Five samples of salivary cortisol collected during the day and another five samples of cortisol during the TSST-VR were analyzed. Psychological stress measures and psychopathological symptomatology were also evaluated. A 2 × 4 mixed ANCOVA showed an interaction between the two groups on the TSST-RV invoked cortisol response to the [F(3,42) = 3.681; p = 0.023) where women in luteal phase showed higher cortisol post exposure levels (5.96 ± 3.76 nmol/L) than women in follicular phase (4.31 ± 2.23 nmol/L). No other significant differences were found. Our findings provide evidence that menstrual cycle phase tended to influence cortisol response to laboratory-induced mental stress, with more reactivity observed in the luteal phase. Copyright © 2018 Elsevier B.V. All rights reserved.

  11. Relationship between physical function and biomechanical gait patterns in boys with haemophilia.

    Science.gov (United States)

    Stephensen, D; Taylor, S; Bladen, M; Drechsler, W I

    2016-11-01

    The World Federation of Haemophilia recommends joint and muscle health is evaluated using X-ray and magnetic resonance imaging, together with clinical examination scores. To date, inclusion of performance-based functional activities to monitor children with the condition has received little attention. To evaluate test-retest repeatability of physical function tests and quantify relationships between physical function, lower limb muscle strength and gait patterns in young boys with haemophilia. Timed 6-minute walk, timed up and down stairs, timed single leg stance, muscle strength of the knee extensors, ankle dorsi and plantar flexors, together with joint biomechanics during level walking were collected from 21 boys aged 6-12 years with severe haemophilia. Measures of physical function and recording of muscle strength with a hand-held myometer were repeatable (ICC > 0.78). Distances walked in six minutes, time taken to go up and down a flight of stairs and lower limb muscle strength correlated closely with ankle range of motion, together with peak knee flexion and ankle dorsi and plantarflexion moments during walking (P biomechanical joint function, and hence might serve as a basis for the clinical monitoring of physical function outcomes in children with haemophilia. © 2016 John Wiley & Sons Ltd.

  12. Social patterning of obesity in Spain: A systematic review of the relationship between education and obesity

    Directory of Open Access Journals (Sweden)

    Alison K Cohen

    2013-06-01

    Full Text Available Introduction: In high-income countries around the world, there appears to be an inverse association between educational attainment and obesity. However, the literature about this association in Spain remains disorganized and disparate. Material and Methods: We systematically reviewed peer-reviewed English- or Spanish language studies of this association in Spain from 10 databases from all periods of time available. Results: Our search identified twenty-four studies. In both nationally representative and subnational studies, women with less education had higher odds of obesity than their more educated counterparts. Men, despite exhibiting greater variability in the education-body weight relationship, also demonstrated a similar social patterning of body weight in many studies, with those at lower levels of educational attainment having higher odds of obesity relative to their more-educated counterparts. These associations in men and women were fairly consistent across time and place, though some regional variations did exist. Discussion and conclusions: We encourage future researchers to move towards more meaningful, unbiased estimates of the association between educational attainment and obesity by measuring height and weight with physical exams, controlling for a more robust set of possible confounders, and exploring potential modifying factors of the association. Additionally, when possible, we encourage researchers to employ prospective study designs that facilitate causal inference with respect to this association.

  13. Learning new sequential stepping patterns requires striatal plasticity during the earliest phase of acquisition.

    Science.gov (United States)

    Nakamura, Toru; Nagata, Masatoshi; Yagi, Takeshi; Graybiel, Ann M; Yamamori, Tetsuo; Kitsukawa, Takashi

    2017-04-01

    Animals including humans execute motor behavior to reach their goals. For this purpose, they must choose correct strategies according to environmental conditions and shape many parameters of their movements, including their serial order and timing. To investigate the neurobiology underlying such skills, we used a multi-sensor equipped, motor-driven running wheel with adjustable sequences of foothold pegs on which mice ran to obtain water reward. When the peg patterns changed from a familiar pattern to a new pattern, the mice had to learn and implement new locomotor strategies in order to receive reward. We found that the accuracy of stepping and the achievement of water reward improved with the new learning after changes in the peg-pattern, and c-Fos expression levels assayed after the first post-switch session were high in both dorsolateral striatum and motor cortex, relative to post-switch plateau levels. Combined in situ hybridization and immunohistochemistry of striatal sections demonstrated that both enkephalin-positive (indirect pathway) neurons and substance P-positive (direct pathway) neurons were recruited specifically after the pattern switches, as were interneurons expressing neuronal nitric oxide synthase. When we blocked N-methyl-D-aspartate (NMDA) receptors in the dorsolateral striatum by injecting the NMDA receptor antagonist, D-2-amino-5-phosphonopentanoic acid (AP5), we found delays in early post-switch improvement in performance. These findings suggest that the dorsolateral striatum is activated on detecting shifts in environment to adapt motor behavior to the new context via NMDA-dependent plasticity, and that this plasticity may underlie forming and breaking skills and habits as well as to behavioral difficulties in clinical disorders. © 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

  14. Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.

    Science.gov (United States)

    Kim, Guk Bae; Jung, Kyu-Hwan; Lee, Yeha; Kim, Hyun-Jun; Kim, Namkug; Jun, Sanghoon; Seo, Joon Beom; Lynch, David A

    2017-10-17

    This study aimed to compare shallow and deep learning of classifying the patterns of interstitial lung diseases (ILDs). Using high-resolution computed tomography images, two experienced radiologists marked 1200 regions of interest (ROIs), in which 600 ROIs were each acquired using a GE or Siemens scanner and each group of 600 ROIs consisted of 100 ROIs for subregions that included normal and five regional pulmonary disease patterns (ground-glass opacity, consolidation, reticular opacity, emphysema, and honeycombing). We employed the convolution neural network (CNN) with six learnable layers that consisted of four convolution layers and two fully connected layers. The classification results were compared with the results classified by a shallow learning of a support vector machine (SVM). The CNN classifier showed significantly better performance for accuracy compared with that of the SVM classifier by 6-9%. As the convolution layer increases, the classification accuracy of the CNN showed better performance from 81.27 to 95.12%. Especially in the cases showing pathological ambiguity such as between normal and emphysema cases or between honeycombing and reticular opacity cases, the increment of the convolution layer greatly drops the misclassification rate between each case. Conclusively, the CNN classifier showed significantly greater accuracy than the SVM classifier, and the results implied structural characteristics that are inherent to the specific ILD patterns.

  15. Triangular relationship between sleep spindle activity, general cognitive ability and the efficiency of declarative learning.

    Directory of Open Access Journals (Sweden)

    Caroline Lustenberger

    Full Text Available EEG sleep spindle activity (SpA during non-rapid eye movement (NREM sleep has been reported to be associated with measures of intelligence and overnight performance improvements. The reticular nucleus of the thalamus is generating sleep spindles in interaction with thalamocortical connections. The same system enables efficient encoding and processing during wakefulness. Thus, we examined if the triangular relationship between SpA, measures of intelligence and declarative learning reflect the efficiency of the thalamocortical system. As expected, SpA was associated with general cognitive ability, e.g. information processing speed. SpA was also associated with learning efficiency, however, not with overnight performance improvement in a declarative memory task. SpA might therefore reflect the efficiency of the thalamocortical network and can be seen as a marker for learning during encoding in wakefulness, i.e. learning efficiency.

  16. Determining the pattern of cementum annuli and relationship to reproduction in male sea otters

    Science.gov (United States)

    Proper, Josh; von Biela, Vanessa R.; Burns, Jennifer M.

    2007-01-01

    Since the early 1990s, the southwestern Alaskan sea otter (Enhydra lutris) population has declined dramatically and the cause has yet to be determined. Population trajectories of large mammals are determined by three factors: survival rate, reproduction rate, and age of first reproduction (AFR). Of these three, AFR should respond first to environmental change. Life history theory predicts that AFR will be older with bottom-up causes (ie, food limitation) and younger when the cause of the decline is top-down (ie, predation), as there is usually abundant resources in this scenario. Traditionally, determining AFR required lethal sampling, which may not always be possible. Work on many mammalian species suggests that the width of annual cementum layers in teeth may decline when breeding begins. If so, examining teeth annuli may provide a nonlethal alternative for determining AFR. Ongoing research has shown this relationship in female sea otters, but male sea otters have not been tested. Sea otter testes and premolar teeth slides were collected by subsistence hunters working with the US Fish and Wildlife Service and the Alaska Sea Otter and Steller Sea Lion Commission from Alaska (1994– 2005). We determined the pattern in cementum annuli thickness for male sea otters across age by measuring annuli at three sites on each of the two slide sections available. We found that cementum annuli layers decreased with age, but found no correlation between cementum annuli and sexual maturity in male sea otters. This lack of correlation may be due to sampling error or different energy expenditures during reproduction for each sex. Since females expend large amounts of energy through gestation and lactation, we hypothesize that the width of female cementum annuli decreases at a much sharper rate when they reach AFR.The southwest Alaskan sea otter population has plummeted up to 90% since the early 1990s and the reason is unknown.1 Declines may be due to a bottom-up source caused by

  17. Relationship between Spatio-Temporal Travel Patterns Derived from Smart-Card Data and Local Environmental Characteristics of Seoul, Korea

    Directory of Open Access Journals (Sweden)

    Mi-Kyeong Kim

    2018-03-01

    Full Text Available With the incorporation of an automated fare-collection system into the management of public transportation, not only can the quality of transportation services be improved but also that of the data collected from users when coupled with smart-card technology. The data collected from smart cards provide opportunities for researchers to analyze big data sets and draw meaningful information out of them. This study aims to identify the relationship between travel patterns derived from smart-card data and urban characteristics. Using seven-day transit smart-card data from the public-transportation system in Seoul, the capital city of the Republic of Korea, we investigated the temporal and spatial boarding and alighting patterns of the users. The major travel patterns, classified into five clusters, were identified by utilizing the K-Spectral Centroid clustering method. We found that the temporal pattern of urban mobility reflects daily activities in the urban area and that the spatial pattern of the five clusters classified by travel patterns was closely related to urban structure and urban function; that is, local environmental characteristics extracted from land-use and census data. This study confirmed that the travel patterns at the citywide level can be used to understand the dynamics of the urban population and the urban spatial structure. We believe that this study will provide valuable information about general patterns, which represent the possibility of finding travel patterns from individuals and urban spatial traits.

  18. Relationship between dysfunctional breathing patterns and ability to achieve target heart rate variability with features of "coherence" during biofeedback.

    Science.gov (United States)

    Courtney, Rosalba; Cohen, Marc; van Dixhoorn, Jan

    2011-01-01

    Heart rate variability (HRV) biofeedback is a self-regulation strategy used to improve conditions including asthma, stress, hypertension, and chronic obstructive pulmonary disease. Respiratory muscle function affects hemodynamic influences on respiratory sinus arrhythmia (RSA), and HRV and HRV-biofeedback protocols often include slow abdominal breathing to achieve physiologically optimal patterns of HRV with power spectral distribution concentrated around the 0.1-Hz frequency and large amplitude. It is likely that optimal balanced breathing patterns and ability to entrain heart rhythms to breathing reflect physiological efficiency and resilience and that individuals with dysfunctional breathing patterns may have difficulty voluntarily modulating HRV and RSA. The relationship between breathing movement patterns and HRV, however, has not been investigated. This study examines how individuals' habitual breathing patterns correspond with their ability to optimize HRV and RSA. Breathing pattern was assessed using the Manual Assessment of Respiratory Motion (MARM) and the Hi Lo manual palpation techniques in 83 people with possible dysfunctional breathing before they attempted HRV biofeedback. Mean respiratory rate was also assessed. Subsequently, participants applied a brief 5-minute biofeedback protocol, involving breathing and positive emotional focus, to achieve HRV patterns proposed to reflect physiological "coherence" and entrainment of heart rhythm oscillations to other oscillating body systems. Thoracic-dominant breathing was associated with decreased coherence of HRV (r = -.463, P = .0001). Individuals with paradoxical breathing had the lowest HRV coherence (t(8) = 10.7, P = .001), and the negative relationship between coherence of HRV and extent of thoracic breathing was strongest in this group (r = -.768, P = .03). Dysfunctional breathing patterns are associated with decreased ability to achieve HRV patterns that reflect cardiorespiratory efficiency and

  19. Pediatric residents' learning styles and temperaments and their relationships to standardized test scores.

    Science.gov (United States)

    Tuli, Sanjeev Y; Thompson, Lindsay A; Saliba, Heidi; Black, Erik W; Ryan, Kathleen A; Kelly, Maria N; Novak, Maureen; Mellott, Jane; Tuli, Sonal S

    2011-12-01

    Board certification is an important professional qualification and a prerequisite for credentialing, and the Accreditation Council for Graduate Medical Education (ACGME) assesses board certification rates as a component of residency program effectiveness. To date, research has shown that preresidency measures, including National Board of Medical Examiners scores, Alpha Omega Alpha Honor Medical Society membership, or medical school grades poorly predict postresidency board examination scores. However, learning styles and temperament have been identified as factors that 5 affect test-taking performance. The purpose of this study is to characterize the learning styles and temperaments of pediatric residents and to evaluate their relationships to yearly in-service and postresidency board examination scores. This cross-sectional study analyzed the learning styles and temperaments of current and past pediatric residents by administration of 3 validated tools: the Kolb Learning Style Inventory, the Keirsey Temperament Sorter, and the Felder-Silverman Learning Style test. These results were compared with known, normative, general and medical population data and evaluated for correlation to in-service examination and postresidency board examination scores. The predominant learning style for pediatric residents was converging 44% (33 of 75 residents) and the predominant temperament was guardian 61% (34 of 56 residents). The learning style and temperament distribution of the residents was significantly different from published population data (P  =  .002 and .04, respectively). Learning styles, with one exception, were found to be unrelated to standardized test scores. The predominant learning style and temperament of pediatric residents is significantly different than that of the populations of general and medical trainees. However, learning styles and temperament do not predict outcomes on standardized in-service and board examinations in pediatric residents.

  20. The Relationship between Personality Types and Self-Regulated Learning Strategies of Language Learners

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    Majid Ghyasi

    2013-05-01

    Full Text Available This study investigates the relationship between personality traits, as measured by the NEO Five Factor Inventory, and different learning strategies, measured by the Motivated Strategies for Learning Questionnaire (MSLQ, that foreign language student may employ to help them learn the language.  A sample of 231 undergraduate students of English in Iran was administered the Inventory and the MSLQ.  This study is the first to connect learners’ personality traits with general learning strategies, which can be specifically applied to foreign language learning.  Analyzing the data using multiple regressions, the authors found that personality type was able to predict the tendency to use different learning strategies.  Specifically, students who scored high on “conscientiousness” were more likely to use all strategies, particularly managing time and study environment.  Students high on extraversion were more likely to use peer learning and help seeking strategies.  The authors conclude that language teachers could benefit from assessing their students’ personalities and matching strategies to their students’ tendencies.

  1. Mid-cycle headaches and their relationship to different patterns of premenstrual stress symptoms.

    Science.gov (United States)

    Kiesner, Jeff; Martin, Vincent T

    2013-06-01

    Recent research has shown that affective changes associated with the menstrual cycle may follow diverse patterns, including a classic premenstrual syndrome pattern, as well as the mirror opposite pattern, referred to as a mid-cycle pattern. Test for the presence of a mid-cycle pattern of headaches, in addition to a menstrual pattern and a noncyclic pattern; test for an association between experiencing a specific pattern of headaches and a specific (previously identified) pattern of depression/anxiety; and test for mean-level differences, across headache pattern groups, in average headache index and depression/anxiety scores (averaged across 2 menstrual cycles for each participant). A sample of 213 female university students completed daily questionnaires regarding symptoms of headaches and depression/anxiety for 2 menstrual cycles. Hierarchical linear modeling, polynomial multiple regression, analyses of variance, and chi-square analyses were used to test the hypotheses. Confirmed the existence of a mid-cycle pattern of headaches (16%), in addition to a menstrual pattern (51%), and a noncyclic pattern of headaches (33%). Patterns of headaches and affective change were significantly associated (χ(2) = 21.33, P = .0003; 54% correspondence), as were the average headache index and depression/anxiety scores (r = .49; P headache pattern groups on the average headache index scores or depression/anxiety scores. A significant number of women experience a mid-cycle pattern of headaches during the menstrual cycle. Moreover, women often, but not always, demonstrate the same pattern of headaches and depression/anxiety symptoms. © 2013 American Headache Society.

  2. Cognitive Patterns of Learning Disability Subtypes as Measured by the Woodcock-Johnson Psycho-Educational Battery.

    Science.gov (United States)

    Breen, Michael J.

    1986-01-01

    The cognitive patterns of three learning disability subtypes were studied: (1) students with higher math than reading skills, (2) students with higher reading than math skills, and (3) students with equally low math and reading skills. Results indicated that although the three groups were characterized by a number of discrete or unique patterns,…

  3. Frequency and Pattern of Learner-Instructor Interaction in an Online English Language Learning Environment in Vietnam

    Science.gov (United States)

    Pham, Thach; Thalathoti, Vijay; Dakich, Eva

    2014-01-01

    This study examines the frequency and pattern of interpersonal interactions between the learners and instructors of an online English language learning course offered at a Vietnamese university. The paper begins with a review of literature on interaction type, pattern and model of interaction followed by a brief description of the online…

  4. The role of consolidation in learning context-dependent phonotactic patterns in speech and digital sequence production.

    Science.gov (United States)

    Anderson, Nathaniel D; Dell, Gary S

    2018-04-03

    Speakers implicitly learn novel phonotactic patterns by producing strings of syllables. The learning is revealed in their speech errors. First-order patterns, such as "/f/ must be a syllable onset," can be distinguished from contingent, or second-order, patterns, such as "/f/ must be an onset if the vowel is /a/, but a coda if the vowel is /o/." A metaanalysis of 19 experiments clearly demonstrated that first-order patterns affect speech errors to a very great extent in a single experimental session, but second-order vowel-contingent patterns only affect errors on the second day of testing, suggesting the need for a consolidation period. Two experiments tested an analogue to these studies involving sequences of button pushes, with fingers as "consonants" and thumbs as "vowels." The button-push errors revealed two of the key speech-error findings: first-order patterns are learned quickly, but second-order thumb-contingent patterns are only strongly revealed in the errors on the second day of testing. The influence of computational complexity on the implicit learning of phonotactic patterns in speech production may be a general feature of sequence production.

  5. Vegetation pattern of Istanbul from the Landsat data and the relationship with meteorological parameters

    Directory of Open Access Journals (Sweden)

    Zafer Aslan

    Full Text Available This paper discusses the preliminary results of a study on the vegetation pattern and its relationship with meteorological parameters in and around Istanbul. The study covers an area of over 6800 km2 consisting of urban and suburban centers, and uses the visible and near-infrared bands of Landsat. The spatial variation of the Normalized Difference Vegetation Index (NDVI and meteorological parameters such as sensible heat flux, momentum flux, relative humidity, moist static energy, rainfall rate and temperature have been investigated based on observations in ten stations in the European (Thracian and Anatolian parts of Istanbul. NDVI values have been evaluated from the Landsat data for a single day, viz. 24 October 1986, using ERDAS in ten different classes. The simultaneous spatial variations of sensible heat and momentum fluxes have been computed from the wind and temperature profiles using the Monin-Obukhov similarity theory. The static energy variations are based on the surface meteorological observations. There is very good correlation between NDVI and rainfall rate. Good correlation also exists between: NDVI and relative humidity; NDVI, sensible heat flux and relative humidity; NDVI, momentum flux and emissivity; and NDVI, sensible heat flux and emissivity. The study suggests that the momentum flux has only marginal impact on NDVI. Due to rapid urbanization,the coastal belt is characterized by reduced NDVI compared to the interior areas, suggesting that thermodynamic discontinuities considerably influence the vegetation pattern. This study is useful for the investigation of small-scale circulation models, especially in urban and suburban areas where differential heating leads to the formation of heat islands. In the long run, such studies on a global scale are vital to gain accurate, timely information on the distribution of vegetation on the earth's surface. This may lead to an understanding of how changes in land cover

  6. The relationship between student engagement with online content and achievement in a blended learning anatomy course.

    Science.gov (United States)

    Green, Rodney A; Whitburn, Laura Y; Zacharias, Anita; Byrne, Graeme; Hughes, Diane L

    2017-12-13

    Blended learning has become increasingly common in higher education. Recent findings suggest that blended learning achieves better student outcomes than traditional face-to-face teaching in gross anatomy courses. While face-to-face content is perceived as important to learning there is less evidence for the significance of online content in improving student outcomes. Students enrolled in a second-year anatomy course from the physiotherapy (PT), exercise physiology (EP), and exercise science (ES) programs across two campuses were included (n = 500). A structural equation model was used to evaluate the relationship of prior student ability (represented by grade in prerequisite anatomy course) and final course grade and whether the relationship was mediated by program, campus or engagement with the online elements of the learning management system (LMS; proportion of documents and video segments viewed and number of interactions with discussion forums). PT students obtained higher grades and were more likely to engage with online course materials than EP and ES students. Prerequisite grade made a direct contribution to course final grade (P learning outcomes in a blended anatomy course can be predicted the by level of engagement with online content. Anat Sci Educ. © 2017 American Association of Anatomists. © 2017 American Association of Anatomists.

  7. The relationship between organizational leadership for safety and learning from patient safety events.

    Science.gov (United States)

    Ginsburg, Liane R; Chuang, You-Ta; Berta, Whitney Blair; Norton, Peter G; Ng, Peggy; Tregunno, Deborah; Richardson, Julia

    2010-06-01

    To examine the relationship between organizational leadership for patient safety and five types of learning from patient safety events (PSEs). Forty-nine general acute care hospitals in Ontario, Canada. A nonexperimental design using cross-sectional surveys of hospital patient safety officers (PSOs) and patient care managers (PCMs). PSOs provided data on organization-level learning from (a) minor events, (b) moderate events, (c) major near misses, (d) major event analysis, and (e) major event dissemination/communication. PCMs provided data on organizational leadership (formal and informal) for patient safety. Hospitals were the unit of analysis. Seemingly unrelated regression was used to examine the influence of formal and informal leadership for safety on the five types of learning from PSEs. The interaction between leadership and hospital size was also examined. Formal organizational leadership for patient safety is an important predictor of learning from minor, moderate, and major near-miss events, and major event dissemination. This relationship is significantly stronger for small hospitals (learning from safety events. Formal leadership support for safety is of particular importance in small organizations where the economic burden of safety programs is disproportionately large and formal leadership is closer to the front lines.

  8. Extended pattern recognition scheme for self-learning kinetic Monte Carlo simulations

    International Nuclear Information System (INIS)

    Shah, Syed Islamuddin; Nandipati, Giridhar; Kara, Abdelkader; Rahman, Talat S

    2012-01-01

    We report the development of a pattern recognition scheme that takes into account both fcc and hcp adsorption sites in performing self-learning kinetic Monte Carlo (SLKMC-II) simulations on the fcc(111) surface. In this scheme, the local environment of every under-coordinated atom in an island is uniquely identified by grouping fcc sites, hcp sites and top-layer substrate atoms around it into hexagonal rings. As the simulation progresses, all possible processes, including those such as shearing, reptation and concerted gliding, which may involve fcc-fcc, hcp-hcp and fcc-hcp moves are automatically found, and their energetics calculated on the fly. In this article we present the results of applying this new pattern recognition scheme to the self-diffusion of 9-atom islands (M 9 ) on M(111), where M = Cu, Ag or Ni.

  9. Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition

    Directory of Open Access Journals (Sweden)

    Bineng Zhong

    2008-06-01

    Full Text Available This paper proposes a new face recognition method, named kernel learning of histogram of local Gabor phase pattern (K-HLGPP, which is based on Daugman’s method for iris recognition and the local XOR pattern (LXP operator. Unlike traditional Gabor usage exploiting the magnitude part in face recognition, we encode the Gabor phase information for face classification by the quadrant bit coding (QBC method. Two schemes are proposed for face recognition. One is based on the nearest-neighbor classifier with chi-square as the similarity measurement, and the other makes kernel discriminant analysis for HLGPP (K-HLGPP using histogram intersection and Gaussian-weighted chi-square kernels. The comparative experiments show that K-HLGPP achieves a higher recognition rate than other well-known face recognition systems on the large-scale standard FERET, FERET200, and CAS-PEAL-R1 databases.

  10. Relationships between milk consumption and academic performance, learning motivation and strategy, and personality in Korean adolescents.

    Science.gov (United States)

    Kim, Sun Hyo; Kim, Woo Kyoung; Kang, Myung-Hee

    2016-04-01

    A healthy diet has been reported to be associated with physical development, cognition and academic performance, and personality during adolescence. This study was performed to investigate the relationships among milk consumption and academic performance, learning motivation and strategies, and personality among Korean adolescents. The study was divided into two parts. The first part was a survey on the relationship between milk consumption and academic performance, in which intakes of milk and milk products and academic scores were examined in percentiles among 630 middle and high school students residing in small and medium-sized cities in 2009. The second part was a survey on the relationships between milk consumption and learning motivation and strategy as well as personality, in which milk consumption habits were collected and Learning Motivation and Strategy Test (L-MOST) for adolescents and Total Personality Inventory for Adolescents (TPI-A) were conducted in 262 high school students in 2011. In the 2009 survey, milk and milk product intakes of subjects were divided into a low intake group (LM: ≤ 60.2 g/day), medium intake group (MM: 60.3-150.9 g/day), and high intake group (HM: ≥ 151.0 g/day). Academic performance of each group was expressed as a percentile, and performance in Korean, social science, and mathematics was significantly higher in the HM group (P learning strategy total," "testing technique," and "resources management technique" scores (P learning strategy total, class participation technique, and testing technique showed significantly positive correlations (P academic performance (Korean, social science, and mathematics) in Korean adolescents. In male high school students, particularly, higher milk intake frequency was positively correlated with learning motivation and strategy as well as some items of the personality inventory.

  11. Investigating the Relationship between Effective Communication of Spouse and Father-Child Relationship (Test Pattern Causes to Education Parents)

    Science.gov (United States)

    Ataeifar, Robabeh; Amiri, Sholeh; Ali Nadi, Mohammad

    2016-01-01

    This research is targeted with the plan of father-child model or effective relationship mediating of spouses or investigating attachment style, personality traits, communication skills, and spouses' sexual satisfaction. Based on this, 260 people (father and child) were selected through random sampling method based on share. Participants were…

  12. Garrison's model of self-directed learning: preliminary validation and relationship to academic achievement.

    Science.gov (United States)

    Abd-El-Fattah, Sabry M

    2010-11-01

    In this project, 119 undergraduates responded to a questionnaire tapping three psychological constructs implicated in Garrison's model of self-directed learning: self-management, self-monitoring, and motivation. Mediation analyses showed that these psychological constructs are interrelated and that motivation mediates the relationship between self-management and self-monitoring. Path modeling analyses revealed that self-management and self-monitoring significantly predicted academic achievement over two semesters with self-management being the strongest predictor. Motivation significantly predicted academic achievement over the second semester only. Implications of these findings for self-directed learning and academic achievement in a traditional classroom setting are discussed.

  13. Recognizing molecular patterns by machine learning: An agnostic structural definition of the hydrogen bond

    International Nuclear Information System (INIS)

    Gasparotto, Piero; Ceriotti, Michele

    2014-01-01

    The concept of chemical bonding can ultimately be seen as a rationalization of the recurring structural patterns observed in molecules and solids. Chemical intuition is nothing but the ability to recognize and predict such patterns, and how they transform into one another. Here, we discuss how to use a computer to identify atomic patterns automatically, so as to provide an algorithmic definition of a bond based solely on structural information. We concentrate in particular on hydrogen bonding – a central concept to our understanding of the physical chemistry of water, biological systems, and many technologically important materials. Since the hydrogen bond is a somewhat fuzzy entity that covers a broad range of energies and distances, many different criteria have been proposed and used over the years, based either on sophisticate electronic structure calculations followed by an energy decomposition analysis, or on somewhat arbitrary choices of a range of structural parameters that is deemed to correspond to a hydrogen-bonded configuration. We introduce here a definition that is univocal, unbiased, and adaptive, based on our machine-learning analysis of an atomistic simulation. The strategy we propose could be easily adapted to similar scenarios, where one has to recognize or classify structural patterns in a material or chemical compound

  14. Recognizing molecular patterns by machine learning: An agnostic structural definition of the hydrogen bond

    Energy Technology Data Exchange (ETDEWEB)

    Gasparotto, Piero; Ceriotti, Michele, E-mail: michele.ceriotti@epfl.ch [Laboratory of Computational Science and Modeling, and National Center for Computational Design and Discovery of Novel Materials MARVEL, IMX, École Polytechnique Fédérale de Lausanne, 1015 Lausanne (Switzerland)

    2014-11-07

    The concept of chemical bonding can ultimately be seen as a rationalization of the recurring structural patterns observed in molecules and solids. Chemical intuition is nothing but the ability to recognize and predict such patterns, and how they transform into one another. Here, we discuss how to use a computer to identify atomic patterns automatically, so as to provide an algorithmic definition of a bond based solely on structural information. We concentrate in particular on hydrogen bonding – a central concept to our understanding of the physical chemistry of water, biological systems, and many technologically important materials. Since the hydrogen bond is a somewhat fuzzy entity that covers a broad range of energies and distances, many different criteria have been proposed and used over the years, based either on sophisticate electronic structure calculations followed by an energy decomposition analysis, or on somewhat arbitrary choices of a range of structural parameters that is deemed to correspond to a hydrogen-bonded configuration. We introduce here a definition that is univocal, unbiased, and adaptive, based on our machine-learning analysis of an atomistic simulation. The strategy we propose could be easily adapted to similar scenarios, where one has to recognize or classify structural patterns in a material or chemical compound.

  15. Computational neuroanatomy using brain deformations: From brain parcellation to multivariate pattern analysis and machine learning.

    Science.gov (United States)

    Davatzikos, Christos

    2016-10-01

    The past 20 years have seen a mushrooming growth of the field of computational neuroanatomy. Much of this work has been enabled by the development and refinement of powerful, high-dimensional image warping methods, which have enabled detailed brain parcellation, voxel-based morphometric analyses, and multivariate pattern analyses using machine learning approaches. The evolution of these 3 types of analyses over the years has overcome many challenges. We present the evolution of our work in these 3 directions, which largely follows the evolution of this field. We discuss the progression from single-atlas, single-registration brain parcellation work to current ensemble-based parcellation; from relatively basic mass-univariate t-tests to optimized regional pattern analyses combining deformations and residuals; and from basic application of support vector machines to generative-discriminative formulations of multivariate pattern analyses, and to methods dealing with heterogeneity of neuroanatomical patterns. We conclude with discussion of some of the future directions and challenges. Copyright © 2016. Published by Elsevier B.V.

  16. Recognizing molecular patterns by machine learning: An agnostic structural definition of the hydrogen bond

    Science.gov (United States)

    Gasparotto, Piero; Ceriotti, Michele

    2014-11-01

    The concept of chemical bonding can ultimately be seen as a rationalization of the recurring structural patterns observed in molecules and solids. Chemical intuition is nothing but the ability to recognize and predict such patterns, and how they transform into one another. Here, we discuss how to use a computer to identify atomic patterns automatically, so as to provide an algorithmic definition of a bond based solely on structural information. We concentrate in particular on hydrogen bonding - a central concept to our understanding of the physical chemistry of water, biological systems, and many technologically important materials. Since the hydrogen bond is a somewhat fuzzy entity that covers a broad range of energies and distances, many different criteria have been proposed and used over the years, based either on sophisticate electronic structure calculations followed by an energy decomposition analysis, or on somewhat arbitrary choices of a range of structural parameters that is deemed to correspond to a hydrogen-bonded configuration. We introduce here a definition that is univocal, unbiased, and adaptive, based on our machine-learning analysis of an atomistic simulation. The strategy we propose could be easily adapted to similar scenarios, where one has to recognize or classify structural patterns in a material or chemical compound.

  17. Characterization of the Optical Properties of Turbid Media by Supervised Learning of Scattering Patterns.

    Science.gov (United States)

    Hassaninia, Iman; Bostanabad, Ramin; Chen, Wei; Mohseni, Hooman

    2017-11-10

    Fabricated tissue phantoms are instrumental in optical in-vitro investigations concerning cancer diagnosis, therapeutic applications, and drug efficacy tests. We present a simple non-invasive computational technique that, when coupled with experiments, has the potential for characterization of a wide range of biological tissues. The fundamental idea of our approach is to find a supervised learner that links the scattering pattern of a turbid sample to its thickness and scattering parameters. Once found, this supervised learner is employed in an inverse optimization problem for estimating the scattering parameters of a sample given its thickness and scattering pattern. Multi-response Gaussian processes are used for the supervised learning task and a simple setup is introduced to obtain the scattering pattern of a tissue sample. To increase the predictive power of the supervised learner, the scattering patterns are filtered, enriched by a regressor, and finally characterized with two parameters, namely, transmitted power and scaled Gaussian width. We computationally illustrate that our approach achieves errors of roughly 5% in predicting the scattering properties of many biological tissues. Our method has the potential to facilitate the characterization of tissues and fabrication of phantoms used for diagnostic and therapeutic purposes over a wide range of optical spectrum.

  18. RELATIONSHIP BETWEEN ATTITUDES LEARNING AND ACHIEVEMENT OF INTEREST LEARNING WITH LEARNING THE BASICS OF COST OF DISCUSSION AUTOMOTIVE AUTOMOTIVE DEPARTMENT OF CLASS X SMK PIRI SLEMAN EVEN SEMESTER OF STUDY 2013/2014

    Directory of Open Access Journals (Sweden)

    Deril Gusa Wijaya

    2014-12-01

    Based on the analysis of the results obtained the following results: (1 There is a positive and significant relationship between the attitude of Learning (X1 with Achievement Automotive Basics (Y; (2 There is a positive and significant relationship between Interests Learning (X2 with Achievement Automotive Basics (Y; (3 There is a positive and significant relationship Attitude Study (X1 and Interest in Learning (X2 with Achievement Automotive Basics (Y.

  19. Relationships between the quality of blended learning experience, self-regulated learning, and academic achievement of medical students: a path analysis.

    Science.gov (United States)

    Kassab, Salah Eldin; Al-Shafei, Ahmad I; Salem, Abdel Halim; Otoom, Sameer

    2015-01-01

    This study examined the relationships between the different aspects of students' course experience, self-regulated learning, and academic achievement of medical students in a blended learning curriculum. Perceptions of medical students (n=171) from the Royal College of Surgeons in Ireland, Medical University of Bahrain (RCSI Bahrain), on the blended learning experience were measured using the Student Course Experience Questionnaire (SCEQ), with an added e-Learning scale. In addition, self-regulated learning was measured using the Motivated Strategies for Learning Questionnaire (MSLQ). Academic achievement was measured by the scores of the students at the end of the course. A path analysis was created to test the relationships between the different study variables. Path analysis indicated that the perceived quality of the face-to-face component of the blended experience directly affected the motivation of students. The SCEQ scale "quality of teaching" directly affected two aspects of motivation: control of learning and intrinsic goal orientation. Furthermore, appropriate course workload directly affected the self-efficacy of students. Moreover, the e-Learning scale directly affected students' peer learning and critical thinking but indirectly affected metacognitive regulation. The resource management regulation strategies, time and study environment, and effort regulation directly affected students' examination scores (17% of the variance explained). However, there were no significant direct relationships between the SCEQ scales and cognitive learning strategies or examination scores. The results of this study will have important implications for designing blended learning courses in medical schools.

  20. Improved children's motor learning of the basketball free shooting pattern by associating subjective error estimation and extrinsic feedback.

    Science.gov (United States)

    Silva, Leandro de Carvalho da; Pereira-Monfredini, Carla Ferro; Teixeira, Luis Augusto

    2017-09-01

    This study aimed at assessing the interaction between subjective error estimation and frequency of extrinsic feedback in the learning of the basketball free shooting pattern by children. 10- to 12-year olds were assigned to 1 of 4 groups combining subjective error estimation and relative frequency of extrinsic feedback (33% × 100%). Analysis of performance was based on quality of movement pattern. Analysis showed superior learning of the group combining error estimation and 100% feedback frequency, both groups receiving feedback on 33% of trials achieved intermediate results, and the group combining no requirement of error estimation and 100% feedback frequency had the poorest learning. Our results show the benefit of subjective error estimation in association with high frequency of extrinsic feedback in children's motor learning of a sport motor pattern.

  1. The Relationship Between Self-Regulation and Online Learning in a Blended Learning Context

    Directory of Open Access Journals (Sweden)

    Richard Lynch

    2004-08-01

    Full Text Available This study reviewed the distance education and self-regulation literatures to identify learner self-regulation skills predictive of academic success in a blended education context. Five self-regulatory attributes were judged likely to be predictive of academic performance: intrinsic goal orientation, self-efficacy for learning and performance, time and study environment management, help seeking, and Internet self-efficacy. Verbal ability was used as a control measure. Performance was operationalized as final course grades. Data were collected from 94 students in a blended undergraduate marketing course at a west coast American research university (tier one. Regression analysis revealed that verbal ability and self-efficacy related significantly to performance, together explaining 12 percent of the variance in course grades. Self-efficacy for learning and performance alone accounted for 7 percent of the variance.

  2. Influence of the breathing pattern on the learning process: a systematic review of literature

    Directory of Open Access Journals (Sweden)

    Genef Caroline Andrade Ribeiro

    Full Text Available ABSTRACT INTRODUCTION: Mouth breathing leads to negative consequences on quality of life, especially in school-age children. OBJECTIVE: To determine whether the breathing pattern influences children's learning process. METHODS: This systematic review was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA instructions, with no restrictions regarding the year of publication and language, created based on the clinical question formulation according to the Problem/Patient/Population, Intervention/Indicator, Comparison, Outcome (PICO strategy: "Is the mouth-breathing child more likely to have learning disabilities when compared to nasal breathers?" in the SciELO, PubMed, LILACS, and Scopus electronic databases. Google Scholar was used to search the gray literature. The keywords "learning," "mouth breathing," and their equivalent terms in Portuguese were used in an integrated manner. The studies included in the review were observational, conducted with schoolchildren aged 7-11 years. Afterwards, the studies were evaluated regarding their methodological quality. The research was performed by two eligible reviewers. RESULTS: A total of 357 records were obtained, of which 43 records were duplicate. After applying the eligibility criteria, ten articles were included in the research scope. Half of the studies used a control group and otorhinolaryngological assessment, whereas a minority used validated (20% and sample calculation protocols (10%. The evaluation procedures were varied. Overall, 80% of the articles showed a higher incidence of learning disabilities among mouth breathers. CONCLUSION: This systematic review has shown that mouth breathers are more likely to have learning difficulties than nasal breathers.

  3. Influence of the breathing pattern on the learning process: a systematic review of literature.

    Science.gov (United States)

    Ribeiro, Genef Caroline Andrade; Dos Santos, Isadora Diniz; Santos, Ana Claudia Nascimento; Paranhos, Luiz Renato; César, Carla Patrícia Hernandez Alves Ribeiro

    2016-01-01

    Mouth breathing leads to negative consequences on quality of life, especially in school-age children. To determine whether the breathing pattern influences children's learning process. This systematic review was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) instructions, with no restrictions regarding the year of publication and language, created based on the clinical question formulation according to the Problem/Patient/Population, Intervention/Indicator, Comparison, Outcome (PICO) strategy: "Is the mouth-breathing child more likely to have learning disabilities when compared to nasal breathers?" in the SciELO, PubMed, LILACS, and Scopus electronic databases. Google Scholar was used to search the gray literature. The keywords "learning," "mouth breathing," and their equivalent terms in Portuguese were used in an integrated manner. The studies included in the review were observational, conducted with schoolchildren aged 7-11 years. Afterwards, the studies were evaluated regarding their methodological quality. The research was performed by two eligible reviewers. A total of 357 records were obtained, of which 43 records were duplicate. After applying the eligibility criteria, ten articles were included in the research scope. Half of the studies used a control group and otorhinolaryngological assessment, whereas a minority used validated (20%) and sample calculation protocols (10%). The evaluation procedures were varied. Overall, 80% of the articles showed a higher incidence of learning disabilities among mouth breathers. This systematic review has shown that mouth breathers are more likely to have learning difficulties than nasal breathers. Copyright © 2015 Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial. Published by Elsevier Editora Ltda. All rights reserved.

  4. The relationships between trait anxiety, place recognition memory, and learning strategy.

    Science.gov (United States)

    Hawley, Wayne R; Grissom, Elin M; Dohanich, Gary P

    2011-01-20

    Rodents learn to navigate mazes using various strategies that are governed by specific regions of the brain. The type of strategy used when learning to navigate a spatial environment is moderated by a number of factors including emotional states. Heightened anxiety states, induced by exposure to stressors or administration of anxiogenic agents, have been found to bias male rats toward the use of a striatum-based stimulus-response strategy rather than a hippocampus-based place strategy. However, no study has yet examined the relationship between natural anxiety levels, or trait anxiety, and the type of learning strategy used by rats on a dual-solution task. In the current experiment, levels of inherent anxiety were measured in an open field and compared to performance on two separate cognitive tasks, a Y-maze task that assessed place recognition memory, and a visible platform water maze task that assessed learning strategy. Results indicated that place recognition memory on the Y-maze correlated with the use of place learning strategy on the water maze. Furthermore, lower levels of trait anxiety correlated positively with better place recognition memory and with the preferred use of place learning strategy. Therefore, competency in place memory and bias in place strategy are linked to the levels of inherent anxiety in male rats. Copyright © 2010 Elsevier B.V. All rights reserved.

  5. Educators' Interprofessional Collaborative Relationships: Helping Pharmacy Students Learn to Work with Other Professions.

    Science.gov (United States)

    Croker, Anne; Smith, Tony; Fisher, Karin; Littlejohns, Sonja

    2016-03-30

    Similar to other professions, pharmacy educators use workplace learning opportunities to prepare students for collaborative practice. Thus, collaborative relationships between educators of different professions are important for planning, implementing and evaluating interprofessional learning strategies and role modelling interprofessional collaboration within and across university and workplace settings. However, there is a paucity of research exploring educators' interprofessional relationships. Using collaborative dialogical inquiry we explored the nature of educators' interprofessional relationships in a co-located setting. Data from interprofessional focus groups and semi-structured interviews were interpreted to identify themes that transcended the participants' professional affiliations. Educators' interprofessional collaborative relationships involved the development and interweaving of five interpersonal behaviours: being inclusive of other professions; developing interpersonal connections with colleagues from other professions; bringing a sense of own profession in relation to other professions; giving and receiving respect to other professions; and being learner-centred for students' collaborative practice . Pharmacy educators, like other educators, need to ensure that interprofessional relationships are founded on positive experiences rather than vested in professional interests.

  6. Laughter to Learning: How Humor Can Build Relationships and Increase Learning in the Online Classroom

    Science.gov (United States)

    McCabe, Crystal; Sprute, Katie; Underdown, Kimber

    2017-01-01

    Research has shown that students perceive their success, in even the most difficult courses, on their interactions and relationships with their instructors (Anderson, 2011; Micari & Pazos, 2012). In the online classroom, instructors run into an even greater challenge when it comes to engaging students, showing their personalities, and being…

  7. The Influence of Prosodic Stress Patterns and Semantic Depth on Novel Word Learning in Typically Developing Children.

    Science.gov (United States)

    Gladfelter, Allison; Goffman, Lisa

    2013-01-01

    The goal of this study was to investigate the effects of prosodic stress patterns and semantic depth on word learning. Twelve preschool-aged children with typically developing speech and language skills participated in a word learning task. Novel words with either a trochaic or iambic prosodic pattern were embedded in one of two learning conditions, either in children's stories (semantically rich) or picture matching games (semantically sparse). Three main analyses were used to measure word learning: comprehension and production probes, phonetic accuracy, and speech motor stability. Results revealed that prosodic frequency and density influence the learnability of novel words, or that there are prosodic neighborhood density effects. The impact of semantic depth on word learning was minimal and likely depends on the amount of experience with the novel words.

  8. The Relationship between the Agreeableness Trait and Use of the English Language Learning Strategies

    Directory of Open Access Journals (Sweden)

    Seyed Hossein Fazeli

    2012-04-01

    Full Text Available Problem Statement: The present study aims to find out the relationship between the Agreeableness trait and use of the English Language Learning Strategies (ELLSs for learners of English as a foreign language.Method: Four instruments were used, which were Persian adapted Strategy Inventory for Language Learning (SILL, A Background Questionnaire, NEO-Five Factors Inventory (NEO-FFI, and Test of English as a Foreign Language (TOEFL. Two hundred and thirteen Iranian female university level learners of English language as a university major in Iran, were volunteer to participate in this research work. The intact classes were chosen.Findings and Results: The results show that there is only a significant relationship between the Agreeableness trait and the use of one of six categories of ELLSs (i.e. Compensation Strategies.

  9. The Relationship between Incentives to Learn and Maslow's Hierarchy of Needs

    Science.gov (United States)

    Wu, Wenling

    This paper empirically explores lots of students in college for their hierarchy of needs and incentives to learn, and finds the linear relationship between them. With the survey, it's be found that there are some kinds of factors influence the students needs order. The paper gives several diagrams to show these important factors which affect the college students' hierarchy of needs most. The paper also finds the change of the student' hierarchy of needs will affect the variety of incentives to learn. Then the paper develops a model for qualitative analyze this relationship. Numerical examples are used to demonstrate the performance of the model. With this model the correct and useful methods can be easily selected for students to incentive according to their types of hierarchy of needs.

  10. Computing and Learning Year-Round Daily Patterns of Hourly Wind Speed and Direction and Their Global Associations with Meteorological Factors

    Directory of Open Access Journals (Sweden)

    Hsing-Ti Wu

    2015-08-01

    Full Text Available Daily wind patterns and their relational associations with other metocean (oceanographic and meteorological variables were algorithmically computed and extracted from a year-long wind and weather dataset, which was collected hourly from an ocean buoy located in the Penghu archipelago of Taiwan. The computational algorithm is called data cloud geometry (DCG. This DCG algorithm is a clustering-based nonparametric learning approach that was constructed and developed implicitly based on various entropy concepts. Regarding the bivariate aspect of wind speed and wind direction, the resulting multiscale clustering hierarchy revealed well-known wind characteristics of year-round pattern cycles pertaining to the particular geographic location of the buoy. A wind pattern due to a set of extreme weather days was also identified. Moreover, in terms of the relational aspect of wind and other weather variables, causal patterns were revealed through applying the DCG algorithm alternatively on the row and column axes of a data matrix by iteratively adapting distance measures to computed DCG tree structures. This adaptation technically constructed and integrated a multiscale, two-sample testing into the distance measure. These computed wind patterns and pattern-based causal relationships are useful for both general sailing and competition planning.

  11. Patterns of Use of an Agent-Based Model and a System Dynamics Model: The Application of Patterns of Use and the Impacts on Learning Outcomes

    Science.gov (United States)

    Thompson, Kate; Reimann, Peter

    2010-01-01

    A classification system that was developed for the use of agent-based models was applied to strategies used by school-aged students to interrogate an agent-based model and a system dynamics model. These were compared, and relationships between learning outcomes and the strategies used were also analysed. It was found that the classification system…

  12. Medical students' self-efficacy in problem-based learning and its relationship with self-regulated learning.

    Science.gov (United States)

    Demirören, Meral; Turan, Sevgi; Öztuna, Derya

    2016-01-01

    Problem-based learning (PBL) is most commonly used in medical education to enhance self-regulated learning (SRL) skills. Self-efficacy beliefs affect students' motivation through self-regulatory processes. The purpose of this study is to examine the relationship between medical students' self-reported SRL skills and their self-efficacy in PBL. A cross-sectional study was conducted with second (286; 83.1%) and third (275; 80.2%) year students at the Ankara University School of Medicine. The SRL perception (SRLP) scale and self-efficacy for problem-based learning (SPBL) scale were used in the study. The SRLP subscales were positively correlated with the SPBL subscales. There was a weak but meaningful correlation between the subscales of SRLP (with the exception of the lack of self-directedness scale) and the subscales of SPBL and the students' views on benefiting from PBL. The female students' mean score was higher for the 'planning and goal setting' subscale of SRLP (p=0.017), and the second-year students' mean score was higher than that of the third-year students for the 'lack of self-directedness' subscale of SRLP (p=0.001) with small effect sizes (Cohen's d is 0.17 and 0.27). There was no statistically significant difference between the year and subscales of SPBL. With regard to gender, the female students had higher scores than the male students on the 'responsibility' subscale of SPBL (p=0.003; Cohen's d=0.26). The study showed that medical students used SRL skills and believed in their ability to learn effectively in the PBL context and demonstrated the relationship between SRL skills and self-efficacy beliefs. Monitoring students' development in these skills and giving them feedback could be beneficial for the cognitive achievement of students with learning difficulties and insufficient study skills. Further studies need to be undertaken to investigate issues such as the curriculum, learning environment, individual differences, and how these can affect the

  13. Medical students’ self-efficacy in problem-based learning and its relationship with self-regulated learning

    Science.gov (United States)

    Demirören, Meral; Turan, Sevgi; Öztuna, Derya

    2016-01-01

    Background Problem-based learning (PBL) is most commonly used in medical education to enhance self-regulated learning (SRL) skills. Self-efficacy beliefs affect students’ motivation through self-regulatory processes. The purpose of this study is to examine the relationship between medical students’ self-reported SRL skills and their self-efficacy in PBL. Methods A cross-sectional study was conducted with second (286; 83.1%) and third (275; 80.2%) year students at the Ankara University School of Medicine. The SRL perception (SRLP) scale and self-efficacy for problem-based learning (SPBL) scale were used in the study. Results The SRLP subscales were positively correlated with the SPBL subscales. There was a weak but meaningful correlation between the subscales of SRLP (with the exception of the lack of self-directedness scale) and the subscales of SPBL and the students’ views on benefiting from PBL. The female students’ mean score was higher for the ‘planning and goal setting’ subscale of SRLP (p=0.017), and the second-year students’ mean score was higher than that of the third-year students for the ‘lack of self-directedness’ subscale of SRLP (p=0.001) with small effect sizes (Cohen's d is 0.17 and 0.27). There was no statistically significant difference between the year and subscales of SPBL. With regard to gender, the female students had higher scores than the male students on the ‘responsibility’ subscale of SPBL (p=0.003; Cohen's d=0.26). Conclusions The study showed that medical students used SRL skills and believed in their ability to learn effectively in the PBL context and demonstrated the relationship between SRL skills and self-efficacy beliefs. Monitoring students’ development in these skills and giving them feedback could be beneficial for the cognitive achievement of students with learning difficulties and insufficient study skills. Further studies need to be undertaken to investigate issues such as the curriculum, learning

  14. Medical students’ self-efficacy in problem-based learning and its relationship with self-regulated learning

    Directory of Open Access Journals (Sweden)

    Meral Demirören

    2016-03-01

    Full Text Available Background: Problem-based learning (PBL is most commonly used in medical education to enhance self-regulated learning (SRL skills. Self-efficacy beliefs affect students’ motivation through self-regulatory processes. The purpose of this study is to examine the relationship between medical students’ self-reported SRL skills and their self-efficacy in PBL. Methods: A cross-sectional study was conducted with second (286; 83.1% and third (275; 80.2% year students at the Ankara University School of Medicine. The SRL perception (SRLP scale and self-efficacy for problem-based learning (SPBL scale were used in the study. Results: The SRLP subscales were positively correlated with the SPBL subscales. There was a weak but meaningful correlation between the subscales of SRLP (with the exception of the lack of self-directedness scale and the subscales of SPBL and the students’ views on benefiting from PBL. The female students’ mean score was higher for the ‘planning and goal setting’ subscale of SRLP (p=0.017, and the second-year students’ mean score was higher than that of the third-year students for the ‘lack of self-directedness’ subscale of SRLP (p=0.001 with small effect sizes (Cohen's d is 0.17 and 0.27. There was no statistically significant difference between the year and subscales of SPBL. With regard to gender, the female students had higher scores than the male students on the ‘responsibility’ subscale of SPBL (p=0.003; Cohen's d=0.26. Conclusions: The study showed that medical students used SRL skills and believed in their ability to learn effectively in the PBL context and demonstrated the relationship between SRL skills and self-efficacy beliefs. Monitoring students’ development in these skills and giving them feedback could be beneficial for the cognitive achievement of students with learning difficulties and insufficient study skills. Further studies need to be undertaken to investigate issues such as the curriculum

  15. Patterns of family management of childhood chronic conditions and their relationship to child and family functioning.

    Science.gov (United States)

    Knafl, Kathleen A; Deatrick, Janet A; Knafl, George J; Gallo, Agatha M; Grey, Margaret; Dixon, Jane

    2013-01-01

    Understanding patterns of family response to childhood chronic conditions provides a more comprehensive understanding of their influence on family and child functioning. In this paper, we report the results of a cluster analysis based on the six scales comprising the Family Management Measure (FaMM) and the resulting typology of family management. The sample of 575 parents (414 families) of children with diverse chronic conditions fell into four patterns of response (Family Focused, Somewhat Family Focused, Somewhat Condition Focused, Condition Focused) that differed in the extent family life was focused on usual family routines or the demands of condition management. Most (57%) families were in either the Family Focused or Somewhat Family Focused pattern. Patterns of family management were related significantly to family and child functioning, with families in the Family Focused and Somewhat Family Focused patterns demonstrating significantly better family and child functioning than families in the other two patterns. Copyright © 2013. Published by Elsevier Inc.

  16. The Development of Inclusive Learning Relationships\\ud in Mainstream Settings: A Multimodal Perspective

    OpenAIRE

    Efthymiou, E.; Kington, Alison

    2017-01-01

    The debate regarding the inclusion of children with Special Educational Needs and Disabilities (SEND) in mainstream education in the UK partly revolves around what makes the classroom environment inclusive. Through the potential\\ud offered by the specific qualitative methodologies employed, this study aimed to explore the development of teachers’ pedagogical practices and learning relationships upon the inclusive education of children with special educational needs and disabilities in two pri...

  17. The Relationship between Organizational Commitment and Organizational Learning (Boroojerd Telecommunication Company as Case Study)

    OpenAIRE

    Javad Mehrabi; Mehrdad Jadidi; Fridodin Allameh Haery; Mehrdad Alemzadeh

    2013-01-01

    The purpose of this study is to study the relationship between organizational commitment and organizational learning among employees of Borojerd Communication Company. The statistical population of the study is employees of Borojerd Communication Company. The sample size was determined 162 based on Morgan table of sampling for population with 280 members. The sample members selected by random sampling method. In order to gather data, the standard questionnaire of Myer and Allen with 18 items ...

  18. Social learning and traditions in animals: evidence, definitions, and relationship to human culture.

    Science.gov (United States)

    Galef, Bennett G

    2012-11-01

    The number of publications concerned with social learning in nonhuman animals has expanded dramatically in recent decades. In this article, recent literature addressing three issues that have been of particular concern to those with both an interest in social learning and a background in experimental psychology are reviewed: (1) the definition as well as (2) empirical investigation of the numerous behavioral processes that support social learning in animals, and (3) the relationship of the 'traditions' seen in animals to the 'culture' that is so important in shaping the development of behavioral repertoires in humans. WIREs Cogn Sci 2012 doi: 10.1002/wcs.1196 For further resources related to this article, please visit the WIREs website. Copyright © 2012 John Wiley & Sons, Ltd.

  19. Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns.

    Science.gov (United States)

    Matsubara, Takashi

    2017-01-01

    Precise spike timing is considered to play a fundamental role in communications and signal processing in biological neural networks. Understanding the mechanism of spike timing adjustment would deepen our understanding of biological systems and enable advanced engineering applications such as efficient computational architectures. However, the biological mechanisms that adjust and maintain spike timing remain unclear. Existing algorithms adopt a supervised approach, which adjusts the axonal conduction delay and synaptic efficacy until the spike timings approximate the desired timings. This study proposes a spike timing-dependent learning model that adjusts the axonal conduction delay and synaptic efficacy in both unsupervised and supervised manners. The proposed learning algorithm approximates the Expectation-Maximization algorithm, and classifies the input data encoded into spatio-temporal spike patterns. Even in the supervised classification, the algorithm requires no external spikes indicating the desired spike timings unlike existing algorithms. Furthermore, because the algorithm is consistent with biological models and hypotheses found in existing biological studies, it could capture the mechanism underlying biological delay learning.

  20. Relationship between Organizational Learning and Organizational Agility in Teaching Hospitals of Yazd

    Directory of Open Access Journals (Sweden)

    Mohammad Amin Bahrami

    2016-10-01

    Full Text Available Background: In organizational learning theory, organization is defined as an open system that has the ability to anticipate, identify, define, design, and solve its problems. This study was aimed to examine the relationship between organizational learning and organizational agility in the teaching hospitals of the city of Yazd. Methods: This analytical and cross-sectional study was conducted in 2015 in four teaching hospitals of the city of Yazd. A total of 370 administrative and medical staff contributed in the study. We used stratified-random method for sampling. The required data were gathered using two valid questionnaires including organizational learning questionnaire (Neefe 2001 and organizational agility questionnaire according to the theory of Sharifi & Zhang (1999 being analyzed trough statistical softwares of R and lavaan package, semPlot and semtool for structural equation model and SPSS18 for descriptive statistics. Results: Our results showed a positive significant relationship between organizational learning and organizational agility (0.521. Conclusion: Based on the findings it can be concluded that the implementation of appropriate strategies for improving the organizational capacity to direct its employees’ mental abilities, can improve the ability of organization’s rapid response to surrounding issues which is crucial for its survival and dynamics in today’s changing world.

  1. Relationships among constructivist learning environment perceptions, motivational beliefs, self-regulation and science achievement

    Science.gov (United States)

    Kingir, Sevgi; Tas, Yasemin; Gok, Gulsum; Sungur Vural, Semra

    2013-11-01

    Background. There are attempts to integrate learning environment research with motivation and self-regulation research that considers social context influences an individual's motivation, self-regulation and, in turn, academic performance. Purpose. This study explored the relationships among constructivist learning environment perception variables (personal relevance, uncertainty, shared control, critical voice, student negotiation), motivational beliefs (self-efficacy, intrinsic interest, goal orientation), self-regulation, and science achievement. Sample. The sample for this study comprised 802 Grade 8 students from 14 public middle schools in a district of Ankara in Turkey. Design and methods. Students were administered 4 instruments: Constructivist Learning Environment Survey, Goal Achievement Questionnaire, Motivated Strategies for Learning Questionnaire, and Science Achievement Test. LISREL 8.7 program with SIMPLIS programming language was used to test the conceptual model. Providing appropriate fit indices for the proposed model, the standardized path coefficients for direct effects were examined. Results. At least one dimension of the constructivist learning environment was associated with students' intrinsic interest, goal orientation, self-efficacy, self-regulation, and science achievement. Self-efficacy emerged as the strongest predictor of both mastery and performance avoidance goals rather than the approach goals. Intrinsic value was found to be significantly linked to science achievement through its effect on self-regulation. The relationships between self-efficacy and self-regulation and between goal orientation and science achievement were not significant. Conclusion. In a classroom environment supporting student autonomy and control, students tend to develop higher interest in tasks, use more self-regulatory strategies, and demonstrate higher academic performance. Science teachers are highly recommended to consider these findings when designing

  2. The relationship between English language learning strategies and proficiency of pre-university students: A study case of UMS

    Science.gov (United States)

    Kiram, Johannah Jamalul; Sulaiman, Jumat; Swanto, Suyansah; Din, Wardatul Akmam

    2014-07-01

    This paper seeks to investigate the relationship between language learning strategies and proficiency in English. Fifty-six pre-university students (22 males, 34 females) of University Malaysia Sabah participated in this study. Oxford's Strategy Inventory for Language Learning (SILL) self-report questionnaire was adopted to identify the students' language learning strategies, whereas their proficiencies were judged based on their Malaysian University English Test (MUET) Results. Pearson's correlation coefficient, Spearman's rank correlation coefficient and the t-test were utilized to make statistical interpretation about the relationship. The knowledge obtained from this study will be helpful for future studies on how to improve the quality of learning and proficiency in English.

  3. Investigating the Structural Relationships among Organisational Support, Learning Flow, Learners' Satisfaction and Learning Transfer in Corporate E-Learning

    Science.gov (United States)

    Joo, Young Ju; Lim, Kyu Yon; Park, Su Yeong

    2011-01-01

    E-learning in corporate training has been growing rapidly because of the pursuit of time and budget efficiency in course development and delivery. However, according to previous studies, efficiency does not always guarantee training effectiveness, which is the major concern of human resource development. It is therefore necessary to identify the…

  4. Dual-modality impairment of implicit learning of letter-strings versus color-patterns in patients with schizophrenia

    Directory of Open Access Journals (Sweden)

    Hwu Hai-Gwo

    2005-12-01

    Full Text Available Abstract Background Implicit learning was reported to be intact in schizophrenia using artificial grammar learning. However, emerging evidence indicates that artificial grammar learning is not a unitary process. The authors used dual coding stimuli and schizophrenia clinical symptom dimensions to re-evaluate the effect of schizophrenia on various components of artificial grammar learning. Methods Letter string and color pattern artificial grammar learning performances were compared between 63 schizophrenic patients and 27 comparison subjects. Four symptom dimensions derived from a Chinese Positive and Negative Symptom Scale ratings were correlated with patients' artificial grammar implicit learning performances along the two stimulus dimensions. Patients' explicit memory performances were assessed by verbal paired associates and visual reproduction subtests of the Wechsler Memory Scales Revised Version to provide a contrast to their implicit memory function. Results Schizophrenia severely hindered color pattern artificial grammar learning while the disease affected lexical string artificial grammar learning to a lesser degree after correcting the influences from age, education and the performance of explicit memory function of both verbal and visual modalities. Both learning performances correlated significantly with the severity of patients' schizophrenic clinical symptom dimensions that reflect poor abstract thinking, disorganized thinking, and stereotyped thinking. Conclusion The results of this study suggested that schizophrenia affects various mechanisms of artificial grammar learning differently. Implicit learning, knowledge acquisition in the absence of conscious awareness, is not entirely intact in patients with schizophrenia. Schizophrenia affects implicit learning through an impairment of the ability of making abstractions from rules and at least in part decreasing the capacity for perceptual learning.

  5. 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.

  6. submitter Studies of CMS data access patterns with machine learning techniques

    CERN Document Server

    De Luca, Silvia

    This thesis presents a study of the Grid data access patterns in distributed analysis in the CMS experiment at the LHC accelerator. This study ranges from the deep analysis of the historical patterns of access to the most relevant data types in CMS, to the exploitation of a supervised Machine Learning classification system to set-up a machinery able to eventually predict future data access patterns - i.e. the so-called dataset “popularity” of the CMS datasets on the Grid - with focus on specific data types. All the CMS workflows run on the Worldwide LHC Computing Grid (WCG) computing centers (Tiers), and in particular the distributed analysis systems sustains hundreds of users and applications submitted every day. These applications (or “jobs”) access different data types hosted on disk storage systems at a large set of WLCG Tiers. The detailed study of how this data is accessed, in terms of data types, hosting Tiers, and different time periods, allows to gain precious insight on storage occupancy ove...

  7. Drug Abuse Patterns, Personality Characteristics, and Relationships with Sex, Race, and Sensation Seeking.

    Science.gov (United States)

    Sutker, Patricia B.; And Others

    1978-01-01

    Examined interrelationships among sex, race, drug-use patterns, and personality variables in chronic users of illicit drugs. Blacks were characterized by lower levels of sensation seeking, less psychopathology, use of fewer drug categories, and later drug use than Whites. Use and personality patterns among women differed little from men.…

  8. Identifying attendance patterns in a smoking cessation treatment and their relationships with quit success.

    Science.gov (United States)

    Jacquart, Jolene; Papini, Santiago; Davis, Michelle L; Rosenfield, David; Powers, Mark B; Frierson, Georita M; Hopkins, Lindsey B; Baird, Scarlett O; Marcus, Bess H; Church, Timothy S; Otto, Michael W; Zvolensky, Michael J; Smits, Jasper A J

    2017-05-01

    While important for substance use outcomes, knowledge about treatment attendance patterns, and their relation with clinical outcomes is limited. We examined the association between attendance patterns and smoking outcomes in a randomized, controlled smoking cessation intervention trial. In addition to standard smoking cessation treatment, participants were randomized to 15 weeks of an exercise intervention (n=72) or an education control condition (n=64). Latent class growth analysis (LCGA) tested whether intervention attendance would be better modeled as qualitatively distinct attendance patterns rather than as a single mean pattern. Multivariate generalized linear mixed modeling (GLMM) was used to evaluate associations between the attendance patterns and abstinence at the end of treatment and at 6-month follow-up. The LCGA solution with three patterns characterized by high probability of attendance throughout (Completers, 46.3%), gradual decreasing probability of attendance (Titrators, 23.5%), and high probability of dropout within the first few weeks (Droppers, 30.1%) provided the best fit. The GLMM analysis indicated an interaction of attendance pattern by treatment condition, such that titration was associated with lower probability of quit success for those in the control condition. Probability of quit success was not significantly different between Titrators and Completers in the exercise condition. These findings underscore the importance of examining how treatment efficacy may vary as a function of attendance patterns. Importantly, treatment discontinuation is not necessarily indicative of poorer abstinence outcome. Copyright © 2017 Elsevier B.V. All rights reserved.

  9. Relationship between snacking patterns, diet quality and risk of overweight and abdominal obesity in children

    Science.gov (United States)

    Snacking is very common among Americans; the impact of variety of snacking patterns on nutrient intake and weight status is unclear. This study examined the associations of snacking patterns on nutrient intake and weight in U.S. children 2-18 years participating in the 2001-2008 National Health and ...

  10. Repeated Sleep Restriction in Adolescent Rats Altered Sleep Patterns and Impaired Spatial Learning/Memory Ability

    Science.gov (United States)

    Yang, Su-Rong; Sun, Hui; Huang, Zhi-Li; Yao, Ming-Hui; Qu, Wei-Min

    2012-01-01

    Study Objectives: To investigate possible differences in the effect of repeated sleep restriction (RSR) during adolescence and adulthood on sleep homeostasis and spatial learning and memory ability. Design: The authors examined electroencephalograms of rats as they were subjected to 4-h daily sleep deprivation that continued for 7 consecutive days and assessed the spatial learning and memory by Morris water maze test (WMT). Participants: Adolescent and adult rats. Measurements and Results: Adolescent rats exhibited a similar amount of rapid eye movement (REM) and nonrapid eye movement (NREM) sleep with higher slow wave activity (SWA, 0.5-4 Hz) and fewer episodes and conversions with prolonged durations, indicating they have better sleep quality than adult rats. After RSR, adult rats showed strong rebound of REM sleep by 31% on sleep deprivation day 1; this value was 37% on sleep deprivation day 7 in adolescents compared with 20-h baseline level. On sleep deprivation day 7, SWA in adult and adolescent rats increased by 47% and 33%, and such elevation lasted for 5 h and 7 h, respectively. Furthermore, the authors investigated the effects of 4-h daily sleep deprivation immediately after the water maze training sessions on spatial cognitive performance. Adolescent rats sleep-restricted for 7 days traveled a longer distance to find the hidden platform during the acquisition training and had fewer numbers of platform crossings in the probe trial than those in the control group, something that did not occur in the sleep-deprived adult rats. Conclusions: Repeated sleep restriction (RSR) altered sleep profiles and mildly impaired spatial learning and memory capability in adolescent rats. Citation: Yang SR; Sun H; Huang ZL; Yao MH; Qu WM. Repeated sleep restriction in adolescent rats altered sleep patterns and impaired spatial learning/memory ability. SLEEP 2012;35(6):849-859. PMID:22654204

  11. A Study on the Relationship between Dietary Patterns and Prevalence of Irritable Bowel Syndrome

    Directory of Open Access Journals (Sweden)

    O. Sadeghi

    2015-10-01

    Full Text Available Introduction & Objective: Although several dietary factors have been reported to alleviate or ag-gravate the symptoms of irritable bowel syndrome (IBS, no information is available linking dietary patterns to irritable bowel syndrome. Objective: This study was undertaken to assess the association between dietary patterns and the risk of irritable bowel syndrome among Ira-nian adults. Materials & Methods: In this cross-sectional study, data on 3846 Iranian general adults working in 50 different health centers were examined. Dietary intake of the participants was assessed using a 106-item self-administered Dish-based Semi-quantitative Food Frequency Question-naire (DS-FFQ which was designed and validated specifically for Iranian adults. A modified Persian version of the Rome III questionnaire was used for assessment of FGIDs, including IBS, which was defined according to ROME III criteria. To identify major dietary patterns based on the 39 food groups, we used principal component analysis. Results: We identified four major dietary patterns: 1 “fast food” dietary pattern; 2 “tradi-tional” dietary pattern; 3 “lacto-vegetarian” dietary pattern; 4 “western” dietary pattern. Af-ter adjustment for potential confounders, we found that those in the highest quartile of “fast food” dietary pattern tended to have higher risk of IBS than those in the lowest quartile (1.32; 0.99, 1.75, Ptrend=0.05. An inverse association was found between “lacto-vegetarian” die-tary pattern and risk of IBS; such that even after adjustment for potential confounders, those in top quartile of this dietary pattern were 24% less likely to have IBS (0.76; 0.59, 0.98; Ptrend=0.02. No overall significant associations were observed between “traditional” and “western” dietary patterns and risk of IBS, either before or after adjustment for covariates. Conclusion: We found that “lacto-vegetarian” dietary pattern was associated with reduced risk , while

  12. The study of dietary patterns and their relationship to anthropometry in female nurses

    Directory of Open Access Journals (Sweden)

    Karolin Abashzadeh

    2017-03-01

    Full Text Available Background: Nurses are prone to continuous stress due to their job situation that lead to many physical and psychological disorders. this job stress also affects their personal life and career. The aim of this study was to evaluate the association between major dietary patterns and anthropometry in nurses. Methods: We conducted a cross-sectional study from February to October 2014. In this cross-sectional study, 320 female nurses were selected randomly from eight hospitals affiliated to Tehran University of Medical Sciences in 2014. This research project carried out with the code 24371 Tehran University of Medical Sciences in Research Ethics Committee approved. Anthropometry and blood pressure measurement was done. Data on physical activity were obtained using the short version of international physical activity questionnaire. Results: Three dietary patterns were identified using factor analysis and labeled: healthy, unhealthy and traditional. The healthy dietary pattern score was significantly related to weight and body mass index (BMI of participants after adjusting for confounders (P=0.05, P=0.01, respectively. There was not significant association between the unhealthy dietary pattern and anthropometry measures. The unhealthy dietary pattern score was inversely related to systolic and diastolic blood pressure after adjusting for confounders (P=0.001, P=0.03, respectively. There was not any significant association between the traditional dietary pattern and anthropometry and blood pressure measures (P>0.05. Conclusion: According to the result of this study, three dietary patterns including, healthy, unhealthy and traditional were identified in nurses. The healthy dietary pattern was associated with weight and BMI and the unhealthy dietary pattern was inversely associated with blood pressure. The traditional dietary pattern had no effect on anthropometry and blood pressure measures.

  13. The relationship of work avoidance and learning goals to perceived competence, externality and meaning.

    Science.gov (United States)

    Seifert, T L; O'Keefe, B A

    2001-03-01

    Motivational researchers have suggested that work avoidance may be an academic goal in which students seek to minimise the amount of work they do in school. Additionally, research has also suggested that emotions may be catalysts for goals. This study examined the relationship between emotions and learning or work avoidance goals. Do emotions explain goals? The participants were 512 senior high school students in Eastern Canada. Students completed a survey assessing motivation related constructs. A structural equation model was postulated in which students' affect predicted learning goals and work avoidant goals. A cluster analysis of affect scores was performed followed by between-group and within-group contrasts of goal scores. The structural equation model suggested that a sense of competence and control were predictive of a learning goal while lack of meaning was related to work avoidance. The cluster analysis showed that confidence and control were associated with a learning goal but that a sense of inadequacy, lack of control or lack of meaning could give rise to work avoidance. Emotions seem to be directly linked to goals. Teachers who foster feelings of self-assuredness will be helping students develop learning goals. Students who feel less competent, bored or have little control will adopt work avoidant goals.

  14. Analysis of Relationship between Three Dimensions of Quality, User Satisfaction, and E-Learning Usage of Binus Online Learning

    Directory of Open Access Journals (Sweden)

    Yosep Yosep

    2015-10-01

    Full Text Available Information technology has  affected  various sectors including the education sector. In the sector, information technology has brought us long distance  education,  which  relies  heavily  on  the  use   of e-learning management system. In Indonesia, Bina Nusantara University is the first and foremost long distance  education  institution.  The  institution  has  been developing and using an e-learning management system for a number of years. This work intends to evaluate to which extent the system is able to enhance e-learning experiences. We adopted the DeLone and McLean’s Information System success model and empirically measured the relation between the aspects of system quality, information quality, service quality, user satisfaction, and net benefits. From a population of the size 311 students, we have collected 149 responses using questionnaires by randomly selecting the participating students. The responses were used to establish a multi-variate regression model where the relationships were established. The model suggested that information quality, system quality, and service quality had positive impacts on user satisfaction with the p-values of 0.014, 0.014, and 0.000 respectively. In addition, the study also found that user satisfaction was strongly and positively affected by the net  benefits.

  15. Impact of parenting practices on parent-child relationships in children with specific learning disability

    Directory of Open Access Journals (Sweden)

    S Karande

    2011-01-01

    Full Text Available Background: Parents of children with specific learning disability (SpLD undergo stress in coping up with their child′s condition. Aims: To document the parenting practices of parents having a child with newly diagnosed SpLD and to analyze their impact on parent-child relationships. Settings and Design: Cross-sectional questionnaire-based study in our clinic. Materials and Methods: From May 2007 to January 2008, 150 parents (either mother or father of children consecutively diagnosed as having SpLD were enrolled. Parenting practices and parent-child relationships were measured by the Alabama Parenting Questionnaire-Parent Form (APQ-PF and the Parent Child Relationship Questionnaire (PCRQ, respectively. Statistical Analysis Used: Pearson correlation coefficients between subscales of APQ-PF and PCRQ were computed. Multiple regression analysis was carried out for statistical significance of the clinical and demographic variables. Results: Parents who were: (i "involved" in parenting had a good "personal relationship and disciplinary warmth," (ii practicing "positive parenting" had good "warmth, personal relationship and disciplinary warmth," (iii "poorly supervising" their child′s activities lacked "warmth and personal relationship," (iv practicing "inconsistent discipline′ had a higher "power assertion" and (v practicing "corporal punishment" lacked "warmth" and had a higher "power assertion and possessiveness" in their relationships with their child. Parent being poorly educated or currently ill and child having all three types of SpLD present concomitantly or a sibling or a sibling with a chronic disability or being in class standard IX to XI were variables that independently predicted a poor parenting or parent-child relationship subscale score. Conclusions: The present study has identified parenting practices that need to be encouraged or excluded for improving parent-child relationships. Initiating these measures would help in the

  16. Cross-Cultural Comparisons of University Students' Science Learning Self-Efficacy: Structural Relationships among Factors within Science Learning Self-Efficacy

    Science.gov (United States)

    Wang, Ya-Ling; Liang, Jyh-Chong; Tsai, Chin-Chung

    2018-01-01

    Science learning self-efficacy could be regarded as a multi-factor belief which comprises different aspects such as cognitive skills, practical work, and everyday application. However, few studies have investigated the relationships among these factors that compose science learning self-efficacy. Also, culture may play an important role in…

  17. Relationships among Individual Task Self-Efficacy, Self-Regulated Learning Strategy Use and Academic Performance in a Computer-Supported Collaborative Learning Environment

    Science.gov (United States)

    Wilson, Kimberly; Narayan, Anupama

    2016-01-01

    This study investigates relationships between self-efficacy, self-regulated learning strategy use and academic performance. Participants were 96 undergraduate students working on projects with three subtasks (idea generation task, methodical task and data collection) in a blended learning environment. Task self-efficacy was measured with…

  18. The Role of Social Identification as University Student in Learning: Relationships between Students' Social Identity, Approaches to Learning, and Academic Achievement

    Science.gov (United States)

    Bliuc, Ana-Maria; Ellis, Robert A.; Goodyear, Peter; Hendres, Daniela Muntele

    2011-01-01

    This article describes research exploring the relationship between students' self-perceptions in the context of university learning (i.e. student social identity), their approaches to learning, and academic achievement. The exploration of these inter-related aspects requires a mix of theoretical approaches, that is, in this research both social…

  19. Anthropometric parameters: weight height, body mass index and mammary volume in relationship with the mammographic pattern

    International Nuclear Information System (INIS)

    Perez-Candela, V.; Busto, C.; Avila, R.; Marrero, M. G.; Liminana, J. M.; Orengo, J. C.

    2001-01-01

    A prospective study to attempt to relate the anthropometric parameters of height, weight, body mass index as well as age with the mammographic patterns obtained for the patients and obtain an anthropometric profile was carried out. The study was performed in 1.000 women who underwent a mammography in cranial-caudal and medial lateral oblique projection of both breasts, independently of whether they were screened or diagnosed. Prior to the performance of the mammography, weight and height were obtained, and this was also performed by the same technicians, and the patient were asked their bra size to deduce breast volume. With the weight, the body mass index of Quetelet was calculated (weight [kg]/height''2 (ml). After reading the mammography, the patient was assigned to one of the four mammographic patterns considered in the BIRADS (Breast Imaging Reporting and Data System) established by the ACR (American College of Radiology): type I (fat). type II (disperse fibroglandular densities), type III (fibroglandular densities distributed heterogeneously), type 4 (dense). The results were introduced into a computer database and the SPSS 8.0 statistical program was applied, using the statistical model of multivariant logistic regression. In women under 40 years, with normal weight, the dense breast pattern accounted for 67.8% and as the body mass index (BMI) increased, this pattern decreased to 25.1%. The fat pattern is 20% and as the BMI increases, this increased to 80%. In 40-60 year old women with normal weight, the dense pattern accounts for 44% and decreases to 20.9% in the grades II, III and IV obese. The fat pattern is 11.1% and increases to 53.7% in the grade II, III and IV obese. In women over 60 with normal, the dense pattern accounts for 19.3% and and decreases to 13% in the grade III obese. The fat pattern is 5.3% and increases to 20.2% in the grade iii of obesity. As age increases, the probability of presenting a mammographic pattern with a fat image in the

  20. Double-Barrier Memristive Devices for Unsupervised Learning and Pattern Recognition.

    Science.gov (United States)

    Hansen, Mirko; Zahari, Finn; Ziegler, Martin; Kohlstedt, Hermann

    2017-01-01

    The use of interface-based resistive switching devices for neuromorphic computing is investigated. In a combined experimental and numerical study, the important device parameters and their impact on a neuromorphic pattern recognition system are studied. The memristive cells consist of a layer sequence Al/Al 2 O 3 /Nb x O y /Au and are fabricated on a 4-inch wafer. The key functional ingredients of the devices are a 1.3 nm thick Al 2 O 3 tunnel barrier and a 2.5 mm thick Nb x O y memristive layer. Voltage pulse measurements are used to study the electrical conditions for the emulation of synaptic functionality of single cells for later use in a recognition system. The results are evaluated and modeled in the framework of the plasticity model of Ziegler et al. Based on this model, which is matched to experimental data from 84 individual devices, the network performance with regard to yield, reliability, and variability is investigated numerically. As the network model, a computing scheme for pattern recognition and unsupervised learning based on the work of Querlioz et al. (2011), Sheridan et al. (2014), Zahari et al. (2015) is employed. This is a two-layer feedforward network with a crossbar array of memristive devices, leaky integrate-and-fire output neurons including a winner-takes-all strategy, and a stochastic coding scheme for the input pattern. As input pattern, the full data set of digits from the MNIST database is used. The numerical investigation indicates that the experimentally obtained yield, reliability, and variability of the memristive cells are suitable for such a network. Furthermore, evidence is presented that their strong I - V non-linearity might avoid the need for selector devices in crossbar array structures.

  1. Glaucomatous patterns in Frequency Doubling Technology (FDT) perimetry data identified by unsupervised machine learning classifiers.

    Science.gov (United States)

    Bowd, Christopher; Weinreb, Robert N; Balasubramanian, Madhusudhanan; Lee, Intae; Jang, Giljin; Yousefi, Siamak; Zangwill, Linda M; Medeiros, Felipe A; Girkin, Christopher A; Liebmann, Jeffrey M; Goldbaum, Michael H

    2014-01-01

    The variational Bayesian independent component analysis-mixture model (VIM), an unsupervised machine-learning classifier, was used to automatically separate Matrix Frequency Doubling Technology (FDT) perimetry data into clusters of healthy and glaucomatous eyes, and to identify axes representing statistically independent patterns of defect in the glaucoma clusters. FDT measurements were obtained from 1,190 eyes with normal FDT results and 786 eyes with abnormal FDT results from the UCSD-based Diagnostic Innovations in Glaucoma Study (DIGS) and African Descent and Glaucoma Evaluation Study (ADAGES). For all eyes, VIM input was 52 threshold test points from the 24-2 test pattern, plus age. FDT mean deviation was -1.00 dB (S.D. = 2.80 dB) and -5.57 dB (S.D. = 5.09 dB) in FDT-normal eyes and FDT-abnormal eyes, respectively (p<0.001). VIM identified meaningful clusters of FDT data and positioned a set of statistically independent axes through the mean of each cluster. The optimal VIM model separated the FDT fields into 3 clusters. Cluster N contained primarily normal fields (1109/1190, specificity 93.1%) and clusters G1 and G2 combined, contained primarily abnormal fields (651/786, sensitivity 82.8%). For clusters G1 and G2 the optimal number of axes were 2 and 5, respectively. Patterns automatically generated along axes within the glaucoma clusters were similar to those known to be indicative of glaucoma. Fields located farther from the normal mean on each glaucoma axis showed increasing field defect severity. VIM successfully separated FDT fields from healthy and glaucoma eyes without a priori information about class membership, and identified familiar glaucomatous patterns of loss.

  2. Relationships between Breastfeeding Patterns and Maternal and Infant Body Composition over the First 12 Months of Lactation

    OpenAIRE

    Zoya Gridneva; Alethea Rea; Anna R. Hepworth; Leigh C. Ward; Ching T. Lai; Peter E. Hartmann; Donna T. Geddes

    2018-01-01

    Breastfeeding has been implicated in the establishment of infant appetite regulation, feeding patterns and body composition (BC). A holistic approach is required to elucidate relationships between infant and maternal BC and contributing factors, such as breastfeeding parameters. Associations between maternal and breastfed term infant BC (n = 20) and feeding parameters during first 12 months of lactation were investigated. BC was measured at 2, 5, 9 and/or 12 months postpartum with ultrasound ...

  3. Investigating Cortisol Production and Pattern as Mediators in the Relationship Between Shift Work and Cardiometabolic Risk.

    Science.gov (United States)

    Ritonja, Jennifer; Aronson, Kristan J; Day, Andrew G; Korsiak, Jill; Tranmer, Joan

    2018-05-01

    Shift work is a risk factor for many diseases, including cardiovascular disease. Although the biological pathways are still unclear, it is hypothesized that cortisol disruption during night work is an intermediate. The objective of this study is to determine whether total cortisol production and cortisol pattern mediate the relationship between current shift work and cardiometabolic risk (CMR) among female hospital employees. A cross-sectional study was conducted among 326 female employees (166 rotating shift workers, 160 day workers), recruited from a hospital in Southeastern Ontario, Canada, during 2011 to 2014. Participants completed a baseline interview, questionnaire, and clinical exam. Urine samples were collected over two 24-hour periods and used to analyze creatinine-adjusted cortisol, which was then used to calculate total cortisol production (AUC G ), and pattern (AUC I ). Mediation analysis was performed to test the mediating effect of cortisol in the relationship between shift work and a continuous CMR score. Current shift work is associated with a 0.52 higher CMR score (95% CI: 0.15, 0.89), a lower cortisol output (AUC G ), and a flatter pattern (AUC I ) over a 2-day period. AUC G is a partial mediator in the relationship between shift work and CMR, whereas AUC I is not. AUC G is also associated with CMR while controlling for shift work, suggesting that lower total cortisol production is also linked to CMR in non-shift workers. Total cortisol production is a partial mediator in the relationship between rotating shift work and CMR among female hospital employees, whereas cortisol pattern is not a mediator. Copyright © 2018 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

  4. Trends in frequency of type 2 diabetes in Mexico and its relationship to dietary patterns and contextual factors

    OpenAIRE

    Guadalupe Soto-Estrada; Laura Moreno Altamirano; Juan José García-García; Iván Ochoa Moreno; Martín Silberman

    2018-01-01

    Objective: To analyse the evolution of the frequency of type 2 diabetes (T2D) and its relationship to eating patterns in Mexico from 1961 to 2013, and the Gini coefficient, Human Development Index (HDI) and Gross Domestic Product (GDP). Mexico ranked sixth in world prevalence of diabetes in 2015 with an estimated 11.4 million Mexicans affected. Method: Using data from the Balance Sheets Food published by the Food and Agriculture Organization of the United Nations (FAO), the means of apparent ...

  5. Perceived Conflict Patterns and Relationship Quality Associated with Verbal Sexual Coercion by Male Dating Partners

    Science.gov (United States)

    Katz, Jennifer; Myhr, Laura

    2008-01-01

    The study of verbal sexual coercion in heterosexual relationships is controversial because nonphysical coercive tactics are often viewed as socially acceptable. It was hypothesized that, within couples, verbal sexual coercion will occur within a larger context of destructive conflict tactics and diminished relationship quality. Female…

  6. An Analysis of the Relationship between the Learning Process and Learning Motivation Profiles of Japanese Pharmacy Students Using Structural Equation Modeling

    Directory of Open Access Journals (Sweden)

    Shigeo Yamamura

    2018-04-01

    Full Text Available Pharmacy students in Japan have to maintain strong motivation to learn for six years during their education. The authors explored the students’ learning structure. All pharmacy students in their 4th through to 6th year at Josai International University participated in the survey. The revised two factor study process questionnaire and science motivation questionnaire II were used to assess their learning process and learning motivation profiles, respectively. Structural equation modeling (SEM was used to examine a causal relationship between the latent variables in the learning process and those in the learning motivation profile. The learning structure was modeled on the idea that the learning process affects the learning motivation profile of respondents. In the multi-group SEM, the estimated mean of the deep learning to learning motivation profile increased just after their clinical clerkship for 6th year students. This indicated that the clinical experience benefited students’ deep learning, which is probably because the experience of meeting with real patients encourages meaningful learning in pharmacy studies.

  7. An Analysis of the Relationship between the Learning Process and Learning Motivation Profiles of Japanese Pharmacy Students Using Structural Equation Modeling.

    Science.gov (United States)

    Yamamura, Shigeo; Takehira, Rieko

    2018-04-23

    Pharmacy students in Japan have to maintain strong motivation to learn for six years during their education. The authors explored the students’ learning structure. All pharmacy students in their 4th through to 6th year at Josai International University participated in the survey. The revised two factor study process questionnaire and science motivation questionnaire II were used to assess their learning process and learning motivation profiles, respectively. Structural equation modeling (SEM) was used to examine a causal relationship between the latent variables in the learning process and those in the learning motivation profile. The learning structure was modeled on the idea that the learning process affects the learning motivation profile of respondents. In the multi-group SEM, the estimated mean of the deep learning to learning motivation profile increased just after their clinical clerkship for 6th year students. This indicated that the clinical experience benefited students’ deep learning, which is probably because the experience of meeting with real patients encourages meaningful learning in pharmacy studies.

  8. Dating couples' attachment styles and patterns of cortisol reactivity and recovery in response to a relationship conflict.

    Science.gov (United States)

    Powers, Sally I; Pietromonaco, Paula R; Gunlicks, Meredith; Sayer, Aline

    2006-04-01

    This study investigated theoretically predicted links between attachment style and a physiological indicator of stress, salivary cortisol levels, in 124 heterosexual dating couples. Cortisol was assessed at 7 points before and after an experimental conflict negotiation task, creating a trajectory of stress reactivity and recovery for each participant. Growth modeling of cortisol data tested hypotheses that (a) insecurely attached individuals show patterns of greater physiological stress reactions to interpersonal conflict than do securely attached individuals and (b) people with insecurely attached partners show patterns of greater stress in reaction to relationship conflict than those with securely attached partners. Hypothesis 1 was supported, but men and women differed in the type of insecure attachment that predicted stress trajectories. Hypothesis 2 was supported for men, but not for women. The discussion emphasizes the role of gender role norms and partner characteristics in understanding connections between adult attachment and patterns of cortisol responses to interpersonal stress.

  9. Relationships between the home environment and physical activity and dietary patterns of preschool children: a cross-sectional study

    Directory of Open Access Journals (Sweden)

    Curnow Fiona

    2008-05-01

    Full Text Available Abstract Objective To assess relationships between characteristics of the home environment and preschool children's physical activity and dietary patterns. Methods Homes of 280 preschool children were visited and information obtained by direct observation and parent interview regarding physical and nutritional characteristics of the home environment. Children's physical activity, sedentary behaviour and dietary patterns were measured using standardised parent-report questionnaires. Associations were analysed using analysis of variance and correlation. Results Parental physical activity (p = 0.03–0.008, size of backyard (p = 0.001 and amount of outdoor play equipment (p = 0.003 were associated with more outdoor play. Fewer rules about television viewing (p Conclusion Physical attributes of the home environment and parental behaviours are associated with preschool children's physical activity, sedentary behaviour and dietary patterns. Many of these variables are modifiable and could be targeted in childhood obesity prevention and management.

  10. A Typology of Interactional Patterns Between Youth and Their Stepfathers: Associations with Family Relationship Quality and Youth Well-Being.

    Science.gov (United States)

    Jensen, Todd M

    2018-03-09

    Stepfamilies are an increasingly common family form, many of which are headed by a resident mother and stepfather. Stepfather-child relationships exert notable influence on stepfamily stability and individual well-being. Although various stepfather roles have been observed, more research is warranted by which stepfather-child interactions are explored holistically and across a variety of life domains (e.g., recreational, personal, academic, and disciplinary). Thus, the primary purpose of the current study is to explore varying interactional patterns between youth and their stepfathers. A latent class analysis is conducted using a representative sample of 1,183 youth (53% female; mean age = 15.64 years, SD = 1.70 years; 62% non-Hispanic White) residing in mother-stepfather families from Wave I of the National Longitudinal Study of Adolescent to Adult Health. Latent-class enumeration processes support a four-class solution, with latent classes representing inactive, academically oriented, casually connected, and versatile and involved patterns of youth-stepparent interaction. Notable differences and similarities are evident across patterns with respect to family relationship quality, youth well-being, and socio-demographic characteristics. Differences are most stark between the inactive and versatile and involved patterns. Ultimately, the results showcase notable variation in youth-stepparent interactional patterns, and one size does not necessarily fit all stepfamilies. Family practitioners should be mindful of variation in youth-stepparent interactional patterns and assist stepfamilies in seeking out stepparent-child dynamics that are most compatible with the needs and dynamics of the larger family system. © 2018 Family Process Institute.

  11. Deconstructing Constructivism: Modeling Causal Relationships Among Constructivist Learning Environment Factors and Student Outcomes in Introductory Chemistry

    Science.gov (United States)

    Komperda, Regis

    The purpose of this dissertation is to test a model of relationships among factors characterizing aspects of a student-centered constructivist learning environment and student outcomes of satisfaction and academic achievement in introductory undergraduate chemistry courses. Constructivism was chosen as the theoretical foundation for this research because of its widespread use in chemical education research and practice. In a constructivist learning environment the role of the teacher shifts from delivering content towards facilitating active student engagement in activities that encourage individual knowledge construction through discussion and application of content. Constructivist approaches to teaching introductory chemistry courses have been adopted by some instructors as a way to improve student outcomes, but little research has been done on the causal relationships among particular aspects of the learning environment and student outcomes. This makes it difficult for classroom teachers to know which aspects of a constructivist teaching approach are critical to adopt and which may be modified to better suit a particular learning environment while still improving student outcomes. To investigate a model of these relationships, a survey designed to measure student perceptions of three factors characterizing a constructivist learning environment in online courses was adapted for use in face-to-face chemistry courses. These three factors, teaching presence, social presence, and cognitive presence, were measured using a slightly modified version of the Community of Inquiry (CoI) instrument. The student outcomes investigated in this research were satisfaction and academic achievement, as measured by standardized American Chemical Society (ACS) exam scores and course grades. Structural equation modeling (SEM) was used to statistically model relationships among the three presence factors and student outcome variables for 391 students enrolled in six sections of a

  12. Exploring Reciprocal Relationships of Land-Uses in a Historical Mixed-Use Quarter of Istanbul : Measuring mixed-use patterns of Cihangir

    NARCIS (Netherlands)

    Sokmenoglu, A.; Sonmez, N.O.

    2013-01-01

    In this paper we explore the land-use patterns of a historical mixed-use quarter of Istanbul by focusing on the reciprocal relationships of housing and commercial uses. We are concerned with the distribution of land-use patterns based on spatial adjacency and land-use patterns within the buildings.

  13. The relationship between identity, language and teaching and learning in Higher Education in South Africa

    Directory of Open Access Journals (Sweden)

    Leibowitz, Brenda

    2005-12-01

    Full Text Available he study on the relationship of identity, language and teaching and learning was conducted by a team of eight members at a higher education institution in the Western Cape. The aims of the research were to investigate the relationship between language, identity and learning, to show how this investigation can benefit dialogue about transformation, and to facilitate the research development of the team. The research design made use of narrative and educational biography in semi-structured interviews with 64 staff members and 100 students. The study supports views of identity as constructed and non-unitary. It shows how language, both as proficiency in the dominant medium of communication and as discourse, is a key component of identity in a higher education institution. The interviews demonstrated how, according to lecturers and students, language and discourse function as primary influences on individuals’ acculturation and integration into the academic community. According to the interviewees, language as a marker of identity is interwoven with other aspects of identity. It is both a resource and a source of identification and affiliation. The research demonstrated that dialogue and self reflection can be facilitated via research into identity, teaching and learning, and that this can be beneficial for both the interviewees and the research team.

  14. THE RELATIONSHIP BETWEEN CREATIVE THINKING AND MOTIVATION TO LEARN CREATIVE THINKING AMONG PRE-SCHOOLERS IN JORDAN

    OpenAIRE

    Mohammad Ahmad Abdelaziz Al-Zu'bi; Mohd Sofian Omar-Fauzee; Amrita Kaur

    2017-01-01

    The investigation of the level of creative thinking and motivation to learn creative thinking, and the relationship between both of them, in Jordan is still insufficient due to lack of interest and research among researchers and scholars. Therefore, this study examines the relationship between creative thinking and motivation to learn creative thinking among pre-school children in Jordan. A total of 102 students from one kindergarten was examined. Parental consent was obtained before the stud...

  15. ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES

    Directory of Open Access Journals (Sweden)

    VIMALA C.

    2015-05-01

    Full Text Available In recent years, speech technology has become a vital part of our daily lives. Various techniques have been proposed for developing Automatic Speech Recognition (ASR system and have achieved great success in many applications. Among them, Template Matching techniques like Dynamic Time Warping (DTW, Statistical Pattern Matching techniques such as Hidden Markov Model (HMM and Gaussian Mixture Models (GMM, Machine Learning techniques such as Neural Networks (NN, Support Vector Machine (SVM, and Decision Trees (DT are most popular. The main objective of this paper is to design and develop a speaker-independent isolated speech recognition system for Tamil language using the above speech recognition techniques. The background of ASR system, the steps involved in ASR, merits and demerits of the conventional and machine learning algorithms and the observations made based on the experiments are presented in this paper. For the above developed system, highest word recognition accuracy is achieved with HMM technique. It offered 100% accuracy during training process and 97.92% for testing process.

  16. Amygdala nuclei critical for emotional learning exhibit unique gene expression patterns.

    Science.gov (United States)

    Partin, Alexander C; Hosek, Matthew P; Luong, Jonathan A; Lella, Srihari K; Sharma, Sachein A R; Ploski, Jonathan E

    2013-09-01

    The amygdala is a heterogeneous, medial temporal lobe structure that has been implicated in the formation, expression and extinction of emotional memories. This structure is composed of numerous nuclei that vary in cytoarchitectonics and neural connections. In particular the lateral nucleus of the amygdala (LA), central nucleus of the amygdala (CeA), and the basal (B) nucleus contribute an essential role to emotional learning. However, to date it is still unclear to what extent these nuclei differ at the molecular level. Therefore we have performed whole genome gene expression analysis on these nuclei to gain a better understanding of the molecular differences and similarities among these nuclei. Specifically the LA, CeA and B nuclei were laser microdissected from the rat brain, and total RNA was isolated from these nuclei and subjected to RNA amplification. Amplified RNA was analyzed by whole genome microarray analysis which revealed that 129 genes are differentially expressed among these nuclei. Notably gene expression patterns differed between the CeA nucleus and the LA and B nuclei. However gene expression differences were not considerably different between the LA and B nuclei. Secondary confirmation of numerous genes was performed by in situ hybridization to validate the microarray findings, which also revealed that for many genes, expression differences among these nuclei were consistent with the embryological origins of these nuclei. Knowing the stable gene expression differences among these nuclei will provide novel avenues of investigation into how these nuclei contribute to emotional arousal and emotional learning, and potentially offer new genetic targets to manipulate emotional learning and memory. Copyright © 2013 Elsevier Inc. All rights reserved.

  17. Learning of temporal motor patterns: An analysis of continuous vs. reset timing

    Directory of Open Access Journals (Sweden)

    Rodrigo eLaje

    2011-10-01

    Full Text Available Our ability to generate well-timed sequences of movements is critical to an array of behaviors, including the ability to play a musical instrument or a video game. Here we address two questions relating to timing with the goal of better understanding the neural mechanisms underlying temporal processing. First, how does accuracy and variance change over the course of learning of complex spatiotemporal patterns? Second, is the timing of sequential responses most consistent with starting and stopping an internal timer at each interval or with continuous timing?To address these questions we used a psychophysical task in which subjects learned to reproduce a sequence of finger taps in the correct order and at the correct times—much like playing a melody at the piano. This task allowed us to calculate the variance of the responses at different time points using data from the same trials. Our results show that while standard Weber’s law is clearly violated, variance does increase as a function of time squared, as expected according to the generalized form of Weber’s law—which separates the source of variance into time-dependent and time-independent components. Over the course of learning, both the time-independent variance and the coefficient of the time-dependent term decrease. Our analyses also suggest that timing of sequential events does not rely on the resetting of an internal timer at each event.We describe and interpret our results in the context of computer simulations that capture some of our psychophysical findings. Specifically, we show that continuous timing, as opposed to reset timing, is expected from population clock models in which timing emerges from the internal dynamics of recurrent neural networks.

  18. Traces of Teaching Methods in a Language Class and the Relationship between Teachers' Intended Learning Outcomes and Students' Uptake

    Science.gov (United States)

    Mahmoudabadi, Zahra

    2017-01-01

    This study has two main objectives: first, to find traces of teaching methods in a language class and second, to study the relationship between intended learning outcomes and uptake, which is defined as what students claim to have learned. In order to identify the teaching method, after five sessions of observation, class activities and procedures…

  19. The Relationships between Epistemic Beliefs in Biology and Approaches to Learning Biology among Biology-Major University Students in Taiwan

    Science.gov (United States)

    Lin, Yi-Chun; Liang, Jyh-Chong; Tsai, Chin-Chung

    2012-01-01

    The aim of this study was to investigate the relationships between students' epistemic beliefs in biology and their approaches to learning biology. To this end, two instruments, the epistemic beliefs in biology and the approaches to learning biology surveys, were developed and administered to 520 university biology students, respectively. By and…

  20. Relationship between Student's Self-Directed-Learning Readiness and Academic Self-Efficacy and Achievement Motivation in Students

    Science.gov (United States)

    Saeid, Nasim; Eslaminejad, Tahere

    2017-01-01

    Self-directed learning readiness to expand and enhance learning, This is an important goal of higher education, Besides his academic self-efficacy can be improved efficiency and Achievement Motivation, so understanding how to use these strategies by students is very important. Because the purpose this study is determination of relationship between…