WorldWideScience

Sample records for learning outcome variables

  1. Learning Outcomes Report

    NARCIS (Netherlands)

    Stoyanov, Slavi; Spoelstra, Howard; Burgoyne, Louise; O’Tuathaigh, Colm

    2018-01-01

    Aim of the study The learning outcomes study, conducted as part of WP3 of the BioApp project, has as objectives: (a) generating a comprehensive list of the learning outcomes; (b) reaching an agreement on the scope and priority of the learning outcomes, and (c) making suggestions for the further

  2. Understanding Digital Learning and Its Variable Effects

    Science.gov (United States)

    Means, B.

    2016-12-01

    An increasing proportion of undergraduate courses use an online or blended learning format. This trend signals major changes in the kind of instruction students receive in their STEM courses, yet evidence about the effectiveness of these new approaches is sparse. Existing syntheses and meta-analyses summarize outcomes from experimental or quasi-experimental studies of online and blended courses and document how few studies incorporate proper controls for differences in student characteristics, instructor behaviors, and other course conditions. The evidence that is available suggests that on average blended courses are equal to or better than traditional face-to-face courses and that online courses are equivalent in terms of learning outcomes. But these averages conceal a tremendous underlying variability. Results vary markedly from course to course, even when the same technology is used in both. Some research suggests that online instruction puts lower-achieving students at a disadvantage. It is clear that introducing digital learning per se is no guarantee that student engagement and learning will be enhanced. Getting more consistently positive impacts out of learning technologies is going to require systematic characterization of the features of learning technologies and associated instructional practices as well as attention to context and student characteristics. This presentation will present a framework for characterizing essential features of digital learning resources, implementation practices, and conditions. It will also summarize the research evidence with respect to the learning impacts of specific technology features including spaced practice, immediate feedback, mastery learning based pacing, visualizations and simulations, gaming features, prompts for explanations and reflection, and tools for online collaboration.

  3. How Are Students' Attitudes Related to Learning Outcomes?

    Science.gov (United States)

    Metsärinne, Mika; Kallio, Manne

    2016-01-01

    This article is a part of a research project aimed to find out how different background variables are related to learning outcomes in technology education related to the school subject Sloyd (craft). The research question of this article is: "How are ninth grade students' attitudes towards the subject related to their learning outcomes?"…

  4. Variability in Second Language Learning: The Roles of Individual Differences, Learning Conditions, and Linguistic Complexity

    Science.gov (United States)

    Tagarelli, Kaitlyn M.; Ruiz, Simón; Vega, José Luis Moreno; Rebuschat, Patrick

    2016-01-01

    Second language learning outcomes are highly variable, due to a variety of factors, including individual differences, exposure conditions, and linguistic complexity. However, exactly how these factors interact to influence language learning is unknown. This article examines the relationship between these three variables in language learners.…

  5. Learning dynamic Bayesian networks with mixed variables

    DEFF Research Database (Denmark)

    Bøttcher, Susanne Gammelgaard

    This paper considers dynamic Bayesian networks for discrete and continuous variables. We only treat the case, where the distribution of the variables is conditional Gaussian. We show how to learn the parameters and structure of a dynamic Bayesian network and also how the Markov order can be learned...

  6. Effects of Cooperative E-Learning on Learning Outcomes

    Science.gov (United States)

    Yeh, Shang-Pao; Fu, Hsin-Wei

    2014-01-01

    This study aims to discuss the effects of E-Learning and cooperative learning on learning outcomes. E-Learning covers the dimensions of Interpersonal communication, abundant resources, Dynamic instruction, and Learning community; and, cooperative learning contains three dimensions of Cooperative motive, Social interaction, and Cognition…

  7. 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…

  8. affective variables of language learning

    Institute of Scientific and Technical Information of China (English)

    李文敬

    2011-01-01

    why people enjoy different degrees of success in second language learning,given similar opportunities.in the presence of overly negative emotions such as anxiety,fear,stress,anger or depression,our optimal learning potential maybe compromised.the affective domain refers to the emotional domain that has to do with the emotional behavior of human beings.it includes such factors as self-confidence,extroversion,anxiety,attitudes and motivation.three major factors are introduced here:self-confidence,anxiety and motivation.

  9. Predicting radiotherapy outcomes using statistical learning techniques

    International Nuclear Information System (INIS)

    El Naqa, Issam; Bradley, Jeffrey D; Deasy, Joseph O; Lindsay, Patricia E; Hope, Andrew J

    2009-01-01

    Radiotherapy outcomes are determined by complex interactions between treatment, anatomical and patient-related variables. A common obstacle to building maximally predictive outcome models for clinical practice is the failure to capture potential complexity of heterogeneous variable interactions and applicability beyond institutional data. We describe a statistical learning methodology that can automatically screen for nonlinear relations among prognostic variables and generalize to unseen data before. In this work, several types of linear and nonlinear kernels to generate interaction terms and approximate the treatment-response function are evaluated. Examples of institutional datasets of esophagitis, pneumonitis and xerostomia endpoints were used. Furthermore, an independent RTOG dataset was used for 'generalizabilty' validation. We formulated the discrimination between risk groups as a supervised learning problem. The distribution of patient groups was initially analyzed using principle components analysis (PCA) to uncover potential nonlinear behavior. The performance of the different methods was evaluated using bivariate correlations and actuarial analysis. Over-fitting was controlled via cross-validation resampling. Our results suggest that a modified support vector machine (SVM) kernel method provided superior performance on leave-one-out testing compared to logistic regression and neural networks in cases where the data exhibited nonlinear behavior on PCA. For instance, in prediction of esophagitis and pneumonitis endpoints, which exhibited nonlinear behavior on PCA, the method provided 21% and 60% improvements, respectively. Furthermore, evaluation on the independent pneumonitis RTOG dataset demonstrated good generalizabilty beyond institutional data in contrast with other models. This indicates that the prediction of treatment response can be improved by utilizing nonlinear kernel methods for discovering important nonlinear interactions among model

  10. Mastery Learning and the Decreasing Variability Hypothesis.

    Science.gov (United States)

    Livingston, Jennifer A.; Gentile, J. Ronald

    1996-01-01

    This report results from studies that tested two variations of Bloom's decreasing variability hypothesis using performance on successive units of achievement in four graduate classrooms that used mastery learning procedures. Data do not support the decreasing variability hypothesis; rather, they show no change over time. (SM)

  11. Machine learning search for variable stars

    Science.gov (United States)

    Pashchenko, Ilya N.; Sokolovsky, Kirill V.; Gavras, Panagiotis

    2018-04-01

    Photometric variability detection is often considered as a hypothesis testing problem: an object is variable if the null hypothesis that its brightness is constant can be ruled out given the measurements and their uncertainties. The practical applicability of this approach is limited by uncorrected systematic errors. We propose a new variability detection technique sensitive to a wide range of variability types while being robust to outliers and underestimated measurement uncertainties. We consider variability detection as a classification problem that can be approached with machine learning. Logistic Regression (LR), Support Vector Machines (SVM), k Nearest Neighbours (kNN), Neural Nets (NN), Random Forests (RF), and Stochastic Gradient Boosting classifier (SGB) are applied to 18 features (variability indices) quantifying scatter and/or correlation between points in a light curve. We use a subset of Optical Gravitational Lensing Experiment phase two (OGLE-II) Large Magellanic Cloud (LMC) photometry (30 265 light curves) that was searched for variability using traditional methods (168 known variable objects) as the training set and then apply the NN to a new test set of 31 798 OGLE-II LMC light curves. Among 205 candidates selected in the test set, 178 are real variables, while 13 low-amplitude variables are new discoveries. The machine learning classifiers considered are found to be more efficient (select more variables and fewer false candidates) compared to traditional techniques using individual variability indices or their linear combination. The NN, SGB, SVM, and RF show a higher efficiency compared to LR and kNN.

  12. Embedding Affective Learning Outcomes in Library Instruction

    Directory of Open Access Journals (Sweden)

    Ellysa Stern Cahoy

    2012-12-01

    Full Text Available While information literacy in higher education has long been focused on cognitive learning outcomes, attention must be paid to students’ affective, emotional needs throughout the research process. This article identifies models for embedding affective learning outcomes within information literacy instruction, and provides strategies to help librarians discover, articulate, and address students’ self-efficacy, motivation, emotions and attitudes. Worksheets to assist in creating affective learning outcomes are included to bring structure to an area of learning that is often challenging to articulate and measure. Also included in the article are the results of a recent survey of instruction librarians’ familiarity and inclusion of affective learning outcomes within teaching and learning initiatives.

  13. Visual variability affects early verb learning.

    Science.gov (United States)

    Twomey, Katherine E; Lush, Lauren; Pearce, Ruth; Horst, Jessica S

    2014-09-01

    Research demonstrates that within-category visual variability facilitates noun learning; however, the effect of visual variability on verb learning is unknown. We habituated 24-month-old children to a novel verb paired with an animated star-shaped actor. Across multiple trials, children saw either a single action from an action category (identical actions condition, for example, travelling while repeatedly changing into a circle shape) or multiple actions from that action category (variable actions condition, for example, travelling while changing into a circle shape, then a square shape, then a triangle shape). Four test trials followed habituation. One paired the habituated verb with a new action from the habituated category (e.g., 'dacking' + pentagon shape) and one with a completely novel action (e.g., 'dacking' + leg movement). The others paired a new verb with a new same-category action (e.g., 'keefing' + pentagon shape), or a completely novel category action (e.g., 'keefing' + leg movement). Although all children discriminated novel verb/action pairs, children in the identical actions condition discriminated trials that included the completely novel verb, while children in the variable actions condition discriminated the out-of-category action. These data suggest that - as in noun learning - visual variability affects verb learning and children's ability to form action categories. © 2014 The British Psychological Society.

  14. The Effect of Cooperative Learning Model of Teams Games Tournament (TGT) and Students' Motivation toward Physics Learning Outcome

    Science.gov (United States)

    Nadrah; Tolla, Ismail; Ali, Muhammad Sidin; Muris

    2017-01-01

    This research aims at describing the effect of cooperative learning model of Teams Games Tournament (TGT) and motivation toward physics learning outcome. This research was a quasi-experimental research with a factorial design conducted at SMAN 2 Makassar. Independent variables were learning models. They were cooperative learning model of TGT and…

  15. Teachers' Teaching Experience and Students' Learning Outcomes ...

    African Journals Online (AJOL)

    cce

    Items 1 - 6 ... Keywords: teaching experience, students' learning outcomes, teacher incentives ... revealed that experienced teachers' perception of their teaching objectives were ... African Journal of Educational Studies in Mathematics and Sciences Vol. .... Years. English language. Mathematics Physics. Chemistry. Biology. %.

  16. Effects of Example Variability and Prior Knowledge in How Students Learn to Solve Equations

    Science.gov (United States)

    Guo, Jian-Peng; Yang, Ling-Yan; Ding, Yi

    2014-01-01

    Researchers have consistently demonstrated that multiple examples are better than one example in facilitating learning because the comparison evoked by multiple examples supports learning and transfer. However, research outcomes are unclear regarding the effects of example variability and prior knowledge on learning from comparing multiple…

  17. Econometrics in outcomes research: the use of instrumental variables.

    Science.gov (United States)

    Newhouse, J P; McClellan, M

    1998-01-01

    We describe an econometric technique, instrumental variables, that can be useful in estimating the effectiveness of clinical treatments in situations when a controlled trial has not or cannot be done. This technique relies upon the existence of one or more variables that induce substantial variation in the treatment variable but have no direct effect on the outcome variable of interest. We illustrate the use of the technique with an application to aggressive treatment of acute myocardial infarction in the elderly.

  18. Student Activity and Learning Outcomes in a Virtual Learning Environment

    Science.gov (United States)

    Romanov, Kalle; Nevgi, Anne

    2008-01-01

    The aim of the study was to explore the relationship between degree of participation and learning outcomes in an e-learning course on medical informatics. Overall activity in using course materials and degree of participation in the discussion forums of an online course were studied among 39 medical students. Students were able to utilise the…

  19. Measuring Learning Outcomes in Auditing Education

    DEFF Research Database (Denmark)

    Holm, Claus; Steenholdt, Niels

    2003-01-01

    The ability to provide sensible measures for learning outcomes in accounting education is under increased scrutiny. In this paper we use a learner perspective in auditing education, which reflects that some students taking accounting classes also are provided with on-the-job training in accounting...... firms. Hence knowledge about learning outcomes for different groups of students is essential information for educators as well as the accounting profession. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning outcomes......). The study provides evidence, which confirms an interrelationship between declarative and procedural knowledge in auditing, and the findings also suggest that students with auditing experience perform better than students without experience on procedural questions....

  20. Action-outcome learning and prediction shape the window of simultaneity of audiovisual outcomes.

    Science.gov (United States)

    Desantis, Andrea; Haggard, Patrick

    2016-08-01

    To form a coherent representation of the objects around us, the brain must group the different sensory features composing these objects. Here, we investigated whether actions contribute in this grouping process. In particular, we assessed whether action-outcome learning and prediction contribute to audiovisual temporal binding. Participants were presented with two audiovisual pairs: one pair was triggered by a left action, and the other by a right action. In a later test phase, the audio and visual components of these pairs were presented at different onset times. Participants judged whether they were simultaneous or not. To assess the role of action-outcome prediction on audiovisual simultaneity, each action triggered either the same audiovisual pair as in the learning phase ('predicted' pair), or the pair that had previously been associated with the other action ('unpredicted' pair). We found the time window within which auditory and visual events appeared simultaneous increased for predicted compared to unpredicted pairs. However, no change in audiovisual simultaneity was observed when audiovisual pairs followed visual cues, rather than voluntary actions. This suggests that only action-outcome learning promotes temporal grouping of audio and visual effects. In a second experiment we observed that changes in audiovisual simultaneity do not only depend on our ability to predict what outcomes our actions generate, but also on learning the delay between the action and the multisensory outcome. When participants learned that the delay between action and audiovisual pair was variable, the window of audiovisual simultaneity for predicted pairs increased, relative to a fixed action-outcome pair delay. This suggests that participants learn action-based predictions of audiovisual outcome, and adapt their temporal perception of outcome events based on such predictions. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  1. Teacher Planning in a learning outcome perspective

    DEFF Research Database (Denmark)

    Bremholm, Jesper; Skott, Charlotte Krog

    2017-01-01

    . In this study, use of participatory observation has permitted us to gain insight into the practices of two teams of teachers in mathematics and Danish, and thus to identify barriers in teachers’ planning that seem to impede a learning outcome approach. However, further analysis shows how these barriers......Like most European countries, Denmark is facing dramatic educational changes towards a focus on learning outcome. This focus enhances the importance of teachers’ planning. However, research studies highlight the plight of teachers facing severe challenges when trying to fulfil the requirements...

  2. Improving Information Technology Curriculum Learning Outcomes

    Directory of Open Access Journals (Sweden)

    Derrick L Anderson

    2017-06-01

    The case study research methodology has been selected to conduct the inquiry into this phenomenon. This empirical inquiry facilitates exploration of a contemporary phenomenon in depth within its real-life context using a variety of data sources. The subject of analysis will be two Information Technology classes composed of a combination of second year and third year students; both classes have six students, the same six students. Contribution It is the purpose of this research to show that the use of improved approaches to learning will produce more desirable learning outcomes. Findings The results of this inquiry clearly show that the use of the traditional behaviorist based pedagogic model to achieve college and university IT program learning outcomes is not as effective as a more constructivist based andragogic model. Recommendations Instruction based purely on either of these does a disservice to the typical college and university level learner. The correct approach lies somewhere in between them; the most successful outcome attainment would be the product of incorporating the best of both. Impact on Society Instructional strategies produce learning outcomes; learning outcomes demonstrate what knowledge has been acquired. Acquired knowledge is used by students as they pursue professional careers and other ventures in life. Future Research Learning and teaching approaches are not “one-size-fits-all” propositions; different strategies are appropriate for different circumstances and situations. Additional research should seek to introduce vehicles that will move learners away from one the traditional methodology that has been used throughout much of their educational careers to an approach that is better suited to equip them with the skills necessary to meet the challenges awaiting them in the professional world.

  3. Repository Services for Outcome-based Learning

    NARCIS (Netherlands)

    Totschnig, Michael; Derntl, Michael; Gutiérrez, Israel; Najjar, Jad; Klemke, Roland; Klerkx, Joris; Duval, Erik; Müller, Franz

    2010-01-01

    Totschnig, M., Derntl, M., Gutiérrez, I., Najjar, J., Klemke, R., Klerkx, J., Duval, E., & Müller, F. (2010). Repository Services for Outcome-based Learning. Fourth International Workshop on Search and Exchange of e-le@rning Materials (SE@M’10). September, 27-28, 2010, Barcelona, Spain.

  4. Assessing Higher Education Learning Outcomes in Brazil

    Science.gov (United States)

    Pedrosa, Renato H. L.; Amaral, Eliana; Knobel, Marcelo

    2013-01-01

    Brazil has developed an encompassing system for quality assessment of higher education, the National System of Higher Education Evaluation (SINAES), which includes a test for assessing learning outcomes at the undergraduate level, the National Exam of Student Performance (ENADE). The present system has been running since 2004, and also serves as…

  5. Some Factors Effected Student's Calculus Learning Outcome

    Science.gov (United States)

    Rajagukguk, Wamington

    2016-01-01

    The purpose of this study is to determine the factors effected calculus learning outcome of the student. This study was conducted with 176 respondents, which were selected randomly. The data were obtained by questionnaire, and then analyzed by using multiple regressions, and correlation, at level of a = 0.05. The findings showed there is the…

  6. Capstone Portfolios and Geography Student Learning Outcomes

    Science.gov (United States)

    Mossa, Joann

    2014-01-01

    Due to increasing demands regarding student learning outcomes and accreditation, a capstone portfolio was added to assess critical thinking and communication skills of geography majors at a large public university in the USA. The portfolio guidelines were designed to be adaptable to a flexible curriculum where about half of the requirements within…

  7. Didactic Experiments Suggest Enhanced Learning Outcomes

    DEFF Research Database (Denmark)

    Pals Svendsen, Lisbet

    2011-01-01

    and presenting material in the language studied, just as they were encouraged to systematically use evaluation processes to enhance learning outcomes. Eventually, increased grade point averages suggested that the experiment was successful. The article also mentions subsequent revisions to the original format...

  8. Taylorism and the Logic of Learning Outcomes

    Science.gov (United States)

    Stoller, Aaron

    2015-01-01

    This essay examines the shared philosophical foundations of Fredrick W. Taylor's scientific management principles and the contemporary learning outcomes movement (LOM). It analyses the shared philosophical ground between the focal point of Taylor's system--"the task"--and the conceptualization and deployment of "learning…

  9. Do E-Textbooks Impact Learning Outcomes?

    Science.gov (United States)

    Fike, David; Fike, Renea

    2016-01-01

    The primary focus of this study was to determine if student learning outcomes in an undergraduate Statistics course differed based upon the type of textbook used (e-textbook or hardcopy). Fifty-six students enrolled in the course were allowed to choose textbook type. After controlling for student demographics and academic preparedness, student…

  10. Measuring Learning Outcomes in Auditing Education

    DEFF Research Database (Denmark)

    Holm, Claus; Steenholdt, Niels

    The ability to provide sensible measures for learning outcomes in accounting education is under increased scrutiny. In this paper we use a learner perspective in auditing education, which reflects that some students taking accounting classes also are provided with on-the-job training in accountin...

  11. Evaluating the Effectiveness Roles of Variables in the Novice Programmers Learning

    Science.gov (United States)

    Shi, Nianfeng; Cui, Wen; Zhang, Ping; Sun, Ximing

    2018-01-01

    This research applies the roles of variables to the novice programmers in the C language programming. The results are evaluated using the Structure of Observed Learning Outcomes (SOLO) taxonomy. The participants were divided into an experimental group and a control group. The students from the control group learned programming in the traditional…

  12. Predictive Variable Gain Iterative Learning Control for PMSM

    Directory of Open Access Journals (Sweden)

    Huimin Xu

    2015-01-01

    Full Text Available A predictive variable gain strategy in iterative learning control (ILC is introduced. Predictive variable gain iterative learning control is constructed to improve the performance of trajectory tracking. A scheme based on predictive variable gain iterative learning control for eliminating undesirable vibrations of PMSM system is proposed. The basic idea is that undesirable vibrations of PMSM system are eliminated from two aspects of iterative domain and time domain. The predictive method is utilized to determine the learning gain in the ILC algorithm. Compression mapping principle is used to prove the convergence of the algorithm. Simulation results demonstrate that the predictive variable gain is superior to constant gain and other variable gains.

  13. EFFECTS OF INQUIRY TRAINING LEARNING MODEL BASED MULTIMEDIA AND MOTIVATION OF PHYSICS STUDENT LEARNING OUTCOMES

    OpenAIRE

    Hayati .; Retno Dwi Suyanti

    2013-01-01

    The objective in this research: (1) Determine a better learning model to improve learning outcomes physics students among learning model Inquiry Training based multimedia and Inquiry Training learning model. (2) Determine the level of motivation to learn in affects physics student learning outcomes. (3) Knowing the interactions between the model of learning and motivation in influencing student learning outcomes. This research is a quasi experimental. The population in this research was all s...

  14. Variables influencing medical student learning in the operating room.

    Science.gov (United States)

    Schwind, Cathy J; Boehler, Margaret L; Rogers, David A; Williams, Reed G; Dunnington, Gary; Folse, Roland; Markwell, Stephen J

    2004-02-01

    The operating room (OR) is an important venue where surgeons do much of medical student teaching and yet there has been little work evaluating variables that influence learning in this unique environment. We designed this study to identify variables that affected medical student learning in the OR. We developed a questionnaire based on surgery faculty observations of learning in the OR. The medical students completed the questionnaire on 114 learning episodes in the OR. Pearson correlation coefficient was used to establish the strength of association between various variables and the student's overall perception of learning. The students evaluated 27 variables that might impact their learning in the OR. Strong correlations were identified between the attending physician's attitude, interactions and teaching ability in the OR and the environment being conducive to learning. Surgical faculty behavior is a powerful determinant of student perceptions of what provides for a favorable learning environment in the OR.

  15. Combining clinical variables to optimize prediction of antidepressant treatment outcomes.

    Science.gov (United States)

    Iniesta, Raquel; Malki, Karim; Maier, Wolfgang; Rietschel, Marcella; Mors, Ole; Hauser, Joanna; Henigsberg, Neven; Dernovsek, Mojca Zvezdana; Souery, Daniel; Stahl, Daniel; Dobson, Richard; Aitchison, Katherine J; Farmer, Anne; Lewis, Cathryn M; McGuffin, Peter; Uher, Rudolf

    2016-07-01

    The outcome of treatment with antidepressants varies markedly across people with the same diagnosis. A clinically significant prediction of outcomes could spare the frustration of trial and error approach and improve the outcomes of major depressive disorder through individualized treatment selection. It is likely that a combination of multiple predictors is needed to achieve such prediction. We used elastic net regularized regression to optimize prediction of symptom improvement and remission during treatment with escitalopram or nortriptyline and to identify contributing predictors from a range of demographic and clinical variables in 793 adults with major depressive disorder. A combination of demographic and clinical variables, with strong contributions from symptoms of depressed mood, reduced interest, decreased activity, indecisiveness, pessimism and anxiety significantly predicted treatment outcomes, explaining 5-10% of variance in symptom improvement with escitalopram. Similar combinations of variables predicted remission with area under the curve 0.72, explaining approximately 15% of variance (pseudo R(2)) in who achieves remission, with strong contributions from body mass index, appetite, interest-activity symptom dimension and anxious-somatizing depression subtype. Escitalopram-specific outcome prediction was more accurate than generic outcome prediction, and reached effect sizes that were near or above a previously established benchmark for clinical significance. Outcome prediction on the nortriptyline arm did not significantly differ from chance. These results suggest that easily obtained demographic and clinical variables can predict therapeutic response to escitalopram with clinically meaningful accuracy, suggesting a potential for individualized prescription of this antidepressant drug. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  16. Measuring Learning Outcomes in Library Instruction

    OpenAIRE

    Connor, Elizabeth

    2010-01-01

    The author uses clicker technology to incorporate polling and multiple choice question techniques into library instruction classes. Clickers can be used to give a keener understanding of how many students grasp the concepts presented in a specific class session. Typically, a student that aces a definition-type question will fail to answer an application-type question correctly. Immediate, electronic feedback helps to calibrate teaching approaches and gather data about learning outcomes. Th...

  17. Instrumental variable estimation of treatment effects for duration outcomes

    NARCIS (Netherlands)

    G.E. Bijwaard (Govert)

    2007-01-01

    textabstractIn this article we propose and implement an instrumental variable estimation procedure to obtain treatment effects on duration outcomes. The method can handle the typical complications that arise with duration data of time-varying treatment and censoring. The treatment effect we

  18. Can Cooperative Learning Achieve the Four Learning Outcomes of Physical Education? A Review of Literature

    Science.gov (United States)

    Casey, Ashley; Goodyear, Victoria A.

    2015-01-01

    Physical learning, cognitive learning, social learning, and affective learning are positioned as the legitimate learning outcomes of physical education. It has been argued that these four learning outcomes go toward facilitating students' engagement with the physically active life (Bailey et al., 2009; Kirk, 2013). With Cooperative Learning…

  19. Discrimination learning with variable stimulus 'salience'

    Directory of Open Access Journals (Sweden)

    Treviño Mario

    2011-08-01

    Full Text Available Abstract Background In nature, sensory stimuli are organized in heterogeneous combinations. Salient items from these combinations 'stand-out' from their surroundings and determine what and how we learn. Yet, the relationship between varying stimulus salience and discrimination learning remains unclear. Presentation of the hypothesis A rigorous formulation of the problem of discrimination learning should account for varying salience effects. We hypothesize that structural variations in the environment where the conditioned stimulus (CS is embedded will be a significant determinant of learning rate and retention level. Testing the hypothesis Using numerical simulations, we show how a modified version of the Rescorla-Wagner model, an influential theory of associative learning, predicts relevant interactions between varying salience and discrimination learning. Implications of the hypothesis If supported by empirical data, our model will help to interpret critical experiments addressing the relations between attention, discrimination and learning.

  20. Informal Workplace Learning among Nurses: Organisational Learning Conditions and Personal Characteristics That Predict Learning Outcomes

    Science.gov (United States)

    Kyndt, Eva; Vermeire, Eva; Cabus, Shana

    2016-01-01

    Purpose: This paper aims to examine which organisational learning conditions and individual characteristics predict the learning outcomes nurses achieve through informal learning activities. There is specific relevance for the nursing profession because of the rapidly changing healthcare systems. Design/Methodology/Approach: In total, 203 nurses…

  1. The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation

    Science.gov (United States)

    Eom, Sean B.; Wen, H. Joseph; Ashill, Nicholas

    2006-01-01

    In this study, structural equation modeling is applied to examine the determinants of students' satisfaction and their perceived learning outcomes in the context of university online courses. Independent variables included in the study are course structure, instructor feedback, self-motivation, learning style, interaction, and instructor…

  2. Effect Of Inquiry Learning Model And Motivation On Physics Outcomes Learning Students

    OpenAIRE

    Pardede, Dahlia Megawati; Manurung, Sondang Rina

    2016-01-01

    The purposes of the research are: (a) to determine differences in learning outcomes of students with Inquiry Training models and conventional models, (b) to determine differences in physics learning outcomes of students who have high motivation and low motivation, (c) to determine the interaction between learning models with the level of motivation in improving student Physics learning outcomes. The results were found: (a) there are differences in physical students learning outcomes are taugh...

  3. EFFECT OF INQUIRY LEARNING MODEL AND MOTIVATION ON PHYSICS OUTCOMES LEARNING STUDENTS

    Directory of Open Access Journals (Sweden)

    Dahlia Megawati Pardede

    2016-06-01

    Full Text Available The purposes of the research are: (a to determine differences in learning outcomes of students with Inquiry Training models and conventional models, (b to determine differences in physics learning outcomes of students who have high motivation and low motivation, (c to determine the interaction between learning models with the level of motivation in improving student Physics learning outcomes. The results were found: (a there are differences in physical students learning outcomes are taught by Inquiry Training models and conventional models. (b learning outcomes of students who are taught by Inquiry Learning Model Training better than student learning outcomes are taught with conventional model. (c there is a difference in student's learning outcomes that have high motivation and low motivation. (d Student learning outcomes that have a high motivation better than student learning outcomes than have a low motivation. (e there is interaction between learning and motivation to student learning outcomes. Learning outcomes of students who are taught by the model is influenced also by the motivation, while learning outcomes of students who are taught with conventional models are not affected by motivation.

  4. Enhancing Learning Outcomes through Application Driven Activities in Marketing

    Science.gov (United States)

    Stegemann, Nicole; Sutton-Brady, Catherine

    2013-01-01

    This paper introduces an activity used in class to allow students to apply previously acquired information to a hands-on task. As the authors have previously shown active learning is a way to effectively facilitate and improve students' learning outcomes. As a result to improve learning outcomes we have overtime developed a series of learning…

  5. Conception of Learning Outcomes in the Bloom's Taxonomy Affective Domain

    Science.gov (United States)

    Savickiene, Izabela

    2010-01-01

    The article raises a problematic issue regarding an insufficient base of the conception of learning outcomes in the Bloom's taxonomy affective domain. The search for solutions introduces the conception of teaching and learning in the affective domain as well as presents validity criteria of learning outcomes in the affective domain. The…

  6. EFFECTS OF THE INQUIRY TRAINING AND MOTIVATION LEARNING AGAINST LEARNING OUTCOMES IN HIGH SCHOOL PHYSICS STUDENTS

    Directory of Open Access Journals (Sweden)

    Vika Andini

    2014-12-01

    Full Text Available This study aims to: determine the significance of differences in physics learning outcomes of students with learning models Inquiry Training and conventional models, knowing the significance of differences in physics learning outcomes of students who have learning motivation high and low, low motivation, the interaction model of learning and motivation to learn physics in improving student learning outcomes. The sample in this study conducted in a cluster random sampling of two classes, where the first class as a class experiment applied learning models and Inquiry Training as a second grade class learning model Conventional control applied. The instrument used in this study is the result of learning physics instruments in the form of 20 multiple-choice questions and motivation questionnaire  by 25 statements has been declared valid and reliable. From the results of this study concluded that the learning outcomes of students who are taught by Training Inquiry learning model is better than conventional models of learning outcomes. Learning outcomes of students who have high motivation to learn is better than the learning outcomes of students who have a low learning motivation. Inquiry learning model training and motivation interact in affecting student learning outcomes.

  7. Nurse dose: linking staffing variables to adverse patient outcomes.

    Science.gov (United States)

    Manojlovich, Milisa; Sidani, Souraya; Covell, Christine L; Antonakos, Cathy L

    2011-01-01

    Inconsistent findings in more than 100 studies have made it difficult to explain how variation in nurse staffing affects patient outcomes. Nurse dose, defined as the level of nurses required to provide patient care in hospital settings, draws on variables used in staffing studies to describe the influence of many staffing variables on outcomes. The aim of this study was to examine the construct validity of nurse dose by determining its association with methicillin-resistant Staphylococcus aureus (MRSA) infections and reported patient falls on a sample of inpatient adult acute care units. Staffing data came from 26 units in Ontario, Canada, and Michigan. Financial and human resource data were data sources for staffing variables. Sources of data for MRSA came from infection control departments. Incident reports were the data source for patient falls. Data analysis consisted of bivariate correlations and Poisson regression. Bivariate correlations revealed that nurse dose attributes (active ingredient and intensity) were associated significantly with both outcomes. Active ingredient (education, experience, skill mix) and intensity (full-time employees, registered nurse [RN]:patient ratio, RN hours per patient day) were significant predictors of MRSA. Coefficients for both attributes were negative and almost identical. Both attributes were significant predictors of reported patient falls, and coefficients were again negative, but coefficient sizes differed. By conceptualizing nurse and staffing variables (education, experience, skill mix, full-time employees, RN:patient ratio, RN hours per patient day) as attributes of nurse dose and by including these in the same analysis, it is possible to determine their relative influence on MRSA infections and reported patient falls.

  8. ANALYSIS LEARNING MODEL OF DISCOVERY AND UNDERSTANDING THE CONCEPT PRELIMINARY TO PHYSICS LEARNING OUTCOMES SMA

    Directory of Open Access Journals (Sweden)

    Sri Rosepda Sebayang

    2015-12-01

    Full Text Available This study aims: 1 to determine whether the student learning outcomes using discovery learning is better than conventional learning 2 To determine whether the learning outcomes of students who have a high initial concept understanding better then of low initial concept understanding, and 3 to determine the effect of interaction discovery learning and understanding of the initial concept of the learning outcomes of students. The samples in this study was taken by cluster random sampling two classes where class X PIA 3 as a class experiment with applying discovery learning and class X PIA 2 as a control class by applying conventional learning. The instrument used in this study is a test of learning outcomes in the form of multiple-choice comprehension test initial concept description form. The results of research are: 1 learning outcomes of students who were taught with discovery learning is better than the learning outcomes of students who are taught by conventional learning, 2 student learning outcomes with high initial conceptual understanding better than the learning outcomes of students with low initial conceptual understanding, and 3 there was no interaction between discovery learning and understanding of initial concepts for the student learning outcomes.

  9. Intra-individual variability as a predictor of learning

    Directory of Open Access Journals (Sweden)

    Matija Svetina

    2004-05-01

    Full Text Available Learning is one of the most important aspects of children's behaviour. A new theory that emerged from evolutionary principles and information-processing models assumes learning to be run by two basic mechanisms: variability and selection. The theory is based on the underlying assumption that intra-individual variability of strategies that children use to solve a problem, is a core mechanism of learning change. This assumption was tested in the case of multiple classification (MC task. 30 6-year-old children were tested for intelligence, short-term memory, and MC. Procedure followed classical pre-test/learning/post-test scheme. Amount of learning was measured through percentage of correct answers before and after learning sessions, whereas intra-individual variability was assessed through children's explanations of their answers on MC problems. The results yielded intra-individual variability to explain learning changes beyond inter-individual differences in intelligence or short-term memory. Although the results rose some new questions to be considered in further research, the data supported the hypothesis of intra-individual variability as predictor of learning change.

  10. Implementation of Outcome-Based Education in Universiti Putra Malaysia: A Focus on Students' Learning Outcomes

    Science.gov (United States)

    Mohayidin, Mohd Ghazali; Suandi, Turiman; Mustapha, Ghazali; Konting, Mohd. Majid; Kamaruddin, Norfaryanti; Man, Nor Azirawani; Adam, Azura; Abdullah, Siti Norziah

    2008-01-01

    The move towards applying outcome-based education in teaching and learning at tertiary education level has become an important topic in Malaysia. Apart from the three learning domains; namely, cognitive, psychomotor and affective, the Ministry of Higher Education has determined eight learning outcomes which are important in providing wholesome…

  11. The effect of Using Mind Mapping and Learning Styles to Geography Learning outcomes of Junior High School Students

    Directory of Open Access Journals (Sweden)

    Sigit Purwoko

    2015-02-01

    Full Text Available Pengaruh Penggunaan Peta Pikiran dan Gaya Belajar terhadap Hasil Belajar Geografi Siswa SMP Abstract: This study aimed to determine the effect of the use of mind maps, learning styles and inter-action using a mind map learning style on geography learning outcomes. This study was a quasi-experimental study, with a 2 x 3 factorial design study subject consisted of two classes of class VII G as experimental class and class VII F as a control class. Variables consisted of: (1 the dependent variable is the student learning outcomes; (2 the independent variable is the use of mind maps; and (3 is the moderator variable learning styles. Geography learning outcomes were measured using an objective test, whereas learning styles with questionnaires. Measurement data are then analyzed using ANOVA two paths with SPSS v.7. Results of data analysis using ANOVA two path showed that: (1 the use of mind maps significantly effect on learning outcomes geography; (2 learning style does not significantly affect the results of learning geography; and (3 there is no interaction between the use of mind maps and learning style on learning outcomes. Key Words: mind maps, learning styles, learning outcomes   Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan peta pikiran, gaya belajar dan interaksi penggunaan peta pikiran dengan gaya belajar terhadap hasil belajar geografi. Penelitian ini merupakan penelitian eksperimen semu, dengan desain faktorial 2 x 3. Subjek penelitian terdiri dari dua kelas yaitu kelas VII G sebagai kelas eksperimen dan kelas VII F sebagai kelas kontrol. Variabel penelitian terdiri dari: (1 variabel terikat adalah hasil belajar siswa; (2 variabel bebas adalah pengguna-an peta pikiran; dan (3 variabel moderator adalah gaya belajar. Hasil belajar geografi diukur menggunakan tes objektif, sedangkan gaya belajar dengan angket. Data hasil pengukuran dianalisis menggunakan anova dua jalur dengan bantuan SPSS v.7. Hasil analisis data

  12. Social outcomes of learning - Response to paper by David Campwell

    DEFF Research Database (Denmark)

    Andersen, John

    Expert kommentar til rapportudkast fra David Cambell (tidligere forskningsassistent for Robert Putman) i OECD projektet SOL (Social Outcomes of Learning). Publiceres senere som Discussionpaper af OECD...

  13. Outcome Mapping Virtual Learning Community - Phase II | IDRC ...

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

    The first phase of the project (103520) focused on developing the Outcome ... as distance learning) and strategically communicating Outcome Mapping to key ... an organization based in India with South Asian reach, to facilitate exchange ...

  14. Machine learning techniques to select variable stars

    Directory of Open Access Journals (Sweden)

    García-Varela Alejandro

    2017-01-01

    Full Text Available In order to perform a supervised classification of variable stars, we propose and evaluate a set of six features extracted from the magnitude density of the light curves. They are used to train automatic classification systems using state-of-the-art classifiers implemented in the R statistical computing environment. We find that random forests is the most successful method to select variables.

  15. Input Variability Facilitates Unguided Subcategory Learning in Adults

    Science.gov (United States)

    Eidsvåg, Sunniva Sørhus; Austad, Margit; Plante, Elena; Asbjørnsen, Arve E.

    2015-01-01

    Purpose: This experiment investigated whether input variability would affect initial learning of noun gender subcategories in an unfamiliar, natural language (Russian), as it is known to assist learning of other grammatical forms. Method: Forty adults (20 men, 20 women) were familiarized with examples of masculine and feminine Russian words. Half…

  16. The Effect of Flipped Learning (Revised Learning) on Iranian Students' Learning Outcomes

    Science.gov (United States)

    Yousefzadeh, Malahat; Salimi, Asghar

    2015-01-01

    The purpose of this study was to investigate whether the flipped (revised) learning had effect on student learning outcome. Lage et al (2000) describes the flipped classroom as " Inverting the classroom means that events that have traditionally take place inside the classroom now take place outside the class and vice versa" (p.32). The…

  17. A Perspective on Student Learning Outcome Assessment at Qatar University

    Science.gov (United States)

    Al-Thani, Shaikha Jabor; Abdelmoneim, Ali; Daoud, Khaled; Cherif, Adel; Moukarzel, Dalal

    2014-01-01

    This paper provides a unique perspective on the student learning outcome assessment process as adopted and implemented at Qatar University from 2006 to 2012. The progress of the student learning outcome assessment and continuous improvement efforts at the university and the initiatives taken to establish a culture of assessment and evidence-based…

  18. Explaining Differences in Learning Outcomes in Auditing Education

    DEFF Research Database (Denmark)

    Holm, Claus; Steenholdt, Niels

    2014-01-01

    In this paper we use a learner perspective on learning outcomes which reflects that some students taking accounting classes are also provided with on-the-job training in accounting firms. Hence knowledge about learning outcomes for different groups of students is essential information for educators...

  19. The Influence of Investment in Workplace Learning on Learning Outcomes and Organizational Performance

    Science.gov (United States)

    Park, Yoonhee; Jacobs, Ronald L.

    2011-01-01

    Although the importance of workplace learning has been recognized in research and practice, there is little empirical support that describes how workplace learning, including both formal and informal learning, is linked to organizational performance. This study investigated the influence of investment in workplace learning on learning outcomes and…

  20. Physics Education: Desired outcomes, minds, and learning systems

    Science.gov (United States)

    van Heuvelen, Alan

    2000-11-01

    Recent studies and surveys indicate that the workplace is looking for different outcomes than are emphasized in traditional physics instruction. Cognitive science has learned much about the operation of our minds. Physicists have now systematically studied student learning in physics for about 30 years. What has been learned from these different studies that can help us achieve the desired outcomes in our large (and small) introductory physics courses? The talk will focus on these three ideas: the desired outcomes, student minds (very brief), and pedagogical strategies and activities that help achieve these outcomes.

  1. Integrating Culture into Language Teaching and Learning: Learner Outcomes

    Science.gov (United States)

    Nguyen, Trang Thi Thuy

    2017-01-01

    This paper discusses the issue of learner outcomes in learning culture as part of their language learning. First, some brief discussion on the role of culture in language teaching and learning, as well as on culture contents in language lessons is presented. Based on a detailed review of previous literature related to culture in language teaching…

  2. EFFECTS OF INQUIRY TRAINING LEARNING MODEL BASED MULTIMEDIA AND MOTIVATION OF PHYSICS STUDENT LEARNING OUTCOMES

    Directory of Open Access Journals (Sweden)

    Hayati .

    2013-06-01

    Full Text Available The objective in this research: (1 Determine a better learning model to improve learning outcomes physics students among learning model Inquiry Training based multimedia and Inquiry Training learning model. (2 Determine the level of motivation to learn in affects physics student learning outcomes. (3 Knowing the interactions between the model of learning and motivation in influencing student learning outcomes. This research is a quasi experimental. The population in this research was all students in class XI SMA Negeri 1 T.P Sunggal Semester I 2012/2013. The sample of this research was consisted of two classes with a sample of 70 peoples who are determined by purposive sampling, the IPA XI-2 as a class experiment using a model-based multimedia learning Training Inquiry as many as 35 peoples and XI IPA-3 as a control class using learning model Inquiry Training 35 peoples. Hypotheses were analyzed using the GLM at significant level of 0.05 using SPSS 17.0 for Windows. Based on data analysis and hypothesis testing conducted found that: (1 Training Inquiry-based multimedia learning model in improving student learning outcomes rather than learning model physics Inquiry Training. (2 The results of studying physics students who have high motivation to learn better than students who have a low learning motivation. (3 From this research there was an interaction between learning model inquiry-based multimedia training and motivation to study on learning outcomes of students.

  3. Incorporating Learning Outcomes into an Introductory Geotechnical Engineering Course

    Science.gov (United States)

    Fiegel, Gregg L.

    2013-01-01

    The article describes the process of incorporating a set of learning outcomes into a geotechnical engineering course. The outcomes were developed using Bloom's taxonomy and define the knowledge, skills, and abilities the students are expected to achieve upon completion of the course. Each outcome begins with an action-oriented verb corresponding…

  4. Effects of reviewing routine practices on learning outcomes in continuing education.

    Science.gov (United States)

    Mamede, Silvia; Loyens, Sofie; Ezequiel, Oscarina; Tibiriçá, Sandra; Penaforte, Júlio; Schmidt, Henk

    2013-07-01

    Conventional continuing medical education (CME) has been shown to have modest effects on doctor performance. New educational approaches based on the review of routine practices have brought better results. Little is known about factors that affect the outcomes of these approaches, especially in middle-income countries. This study aimed to investigate factors that influence the learning and quality of clinical performance in CME based on reflection upon experiences. A questionnaire and a clinical performance test were administered to 165 general practitioners engaged in a CME programme in Brazil. The questionnaire assessed behaviours related to four input variables (individual reflection on practices, peer review of experiences, self-regulated learning and learning skills) and two mediating variables (identification of learning needs and engagement in learning activities, the latter consisting of self-study of scientific literature, consultations about patient problems, and attendance at courses). Structural equation modelling was used to test a hypothesised model of relationships between these variables and the outcome variable of clinical performance, measured by the clinical performance test. After minor adjustments, the hypothesised model fit the empirical data well. Individual reflection fostered identification of learning needs, but also directly positively influenced the quality of clinical performance. Peer review did not affect identification of learning needs, but directly positively affected clinical performance. Learning skills and self-regulation did not help in identifying learning needs, but self-regulation enhanced study of the scientific literature, the learning activity that most positively influenced clinical performance. Consultation with colleagues, the activity most frequently triggered by the identification of learning needs, did not affect performance, and attendance of courses had only limited effect. This study shed light on the factors

  5. Impairments in action-outcome learning in schizophrenia.

    Science.gov (United States)

    Morris, Richard W; Cyrzon, Chad; Green, Melissa J; Le Pelley, Mike E; Balleine, Bernard W

    2018-03-03

    Learning the causal relation between actions and their outcomes (AO learning) is critical for goal-directed behavior when actions are guided by desire for the outcome. This can be contrasted with habits that are acquired by reinforcement and primed by prevailing stimuli, in which causal learning plays no part. Recently, we demonstrated that goal-directed actions are impaired in schizophrenia; however, whether this deficit exists alongside impairments in habit or reinforcement learning is unknown. The present study distinguished deficits in causal learning from reinforcement learning in schizophrenia. We tested people with schizophrenia (SZ, n = 25) and healthy adults (HA, n = 25) in a vending machine task. Participants learned two action-outcome contingencies (e.g., push left to get a chocolate M&M, push right to get a cracker), and they also learned one contingency was degraded by delivery of noncontingent outcomes (e.g., free M&Ms), as well as changes in value by outcome devaluation. Both groups learned the best action to obtain rewards; however, SZ did not distinguish the more causal action when one AO contingency was degraded. Moreover, action selection in SZ was insensitive to changes in outcome value unless feedback was provided, and this was related to the deficit in AO learning. The failure to encode the causal relation between action and outcome in schizophrenia occurred without any apparent deficit in reinforcement learning. This implies that poor goal-directed behavior in schizophrenia cannot be explained by a more primary deficit in reward learning such as insensitivity to reward value or reward prediction errors.

  6. Comparing Learning Outcomes of Blended Learning and Traditional Face-to-Face Learning of University Students in ESL Courses

    Science.gov (United States)

    Zhang, Wei; Zhu, Chang

    2018-01-01

    Combining elements of online and face-to-face education, blended learning is emerging as an important teaching and learning model in higher education. In order to examine the effectiveness of blended learning, as compared to the traditional face-to-face learning mode, this research investigated the learning outcomes of students following English…

  7. Vicarious neural processing of outcomes during observational learning.

    Directory of Open Access Journals (Sweden)

    Elisabetta Monfardini

    Full Text Available Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on the ability to map the actions of others onto our own, process outcomes, and combine these sources of information. Here, we combined newly developed experimental tasks and functional magnetic resonance imaging (fMRI to investigate the neural mechanisms that govern such observational learning. Results show that the neural systems involved in individual trial-and-error learning and in action observation and execution both participate in observational learning. In addition, we identified brain areas that specifically activate for others' incorrect outcomes during learning in the posterior medial frontal cortex (pMFC, the anterior insula and the posterior superior temporal sulcus (pSTS.

  8. Vicarious neural processing of outcomes during observational learning.

    Science.gov (United States)

    Monfardini, Elisabetta; Gazzola, Valeria; Boussaoud, Driss; Brovelli, Andrea; Keysers, Christian; Wicker, Bruno

    2013-01-01

    Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on the ability to map the actions of others onto our own, process outcomes, and combine these sources of information. Here, we combined newly developed experimental tasks and functional magnetic resonance imaging (fMRI) to investigate the neural mechanisms that govern such observational learning. Results show that the neural systems involved in individual trial-and-error learning and in action observation and execution both participate in observational learning. In addition, we identified brain areas that specifically activate for others' incorrect outcomes during learning in the posterior medial frontal cortex (pMFC), the anterior insula and the posterior superior temporal sulcus (pSTS).

  9. Mapping Learning Outcomes and Assignment Tasks for SPIDER Activities

    Directory of Open Access Journals (Sweden)

    Lyn Brodie

    2011-05-01

    Full Text Available Modern engineering programs have to address rapidly changing technical content and have to enable students to develop transferable skills such as critical evaluation, communication skills and lifelong learning. This paper introduces a combined learning and assessment activity that provides students with opportunities to develop and practice their soft skills, but also extends their theoretical knowledge base. Key tasks included self directed inquiry, oral and written communication as well as peer assessment. To facilitate the SPIDER activities (Select, Prepare and Investigate, Discuss, Evaluate, Reflect, a software tool has been implemented in the learning management system Moodle. Evidence shows increased student engagement and better learning outcomes for both transferable as well as technical skills. The study focuses on generalising the relationship between learning outcomes and assignment tasks as well as activities that drive these tasks. Trail results inform the approach. Staff evaluations and their views of assignments and intended learning outcomes also supported this analysis.

  10. Predicting Language Outcomes for Children Learning Augmentative and Alternative Communication: Child and Environmental Factors

    Science.gov (United States)

    Brady, Nancy C.; Thiemann-Bourque, Kathy; Fleming, Kandace; Matthews, Kris

    2013-01-01

    Purpose: To investigate a model of language development for nonverbal preschool-age children learning to communicate with augmentative or alternative communication. Method: Ninety-three preschool children with intellectual disabilities were assessed at Time 1, and 82 of these children were assessed 1 year later, at Time 2. The outcome variable was…

  11. Transferring an Outcome-Oriented Learning Architecture to an IT Learning Game

    NARCIS (Netherlands)

    Schmitz, Birgit; Klemke, Roland; Totschnig, Michael; Czauderna, André; Specht, Marcus

    2011-01-01

    Schmitz, B., Klemke, R., Totschnig, M., Czauderna, A., & Specht, M. (2011, 23 September). Transferring an outcome-oriented learning architecture to an IT learning game. Presented at the 6th European conference on Technology enhanced learning: towards ubiquitous learning (EC-TEL 2011), Palermo,

  12. Measuring the surgical 'learning curve': methods, variables and competency.

    Science.gov (United States)

    Khan, Nuzhath; Abboudi, Hamid; Khan, Mohammed Shamim; Dasgupta, Prokar; Ahmed, Kamran

    2014-03-01

    To describe how learning curves are measured and what procedural variables are used to establish a 'learning curve' (LC). To assess whether LCs are a valuable measure of competency. A review of the surgical literature pertaining to LCs was conducted using the Medline and OVID databases. Variables should be fully defined and when possible, patient-specific variables should be used. Trainee's prior experience and level of supervision should be quantified; the case mix and complexity should ideally be constant. Logistic regression may be used to control for confounding variables. Ideally, a learning plateau should reach a predefined/expert-derived competency level, which should be fully defined. When the group splitting method is used, smaller cohorts should be used in order to narrow the range of the LC. Simulation technology and competence-based objective assessments may be used in training and assessment in LC studies. Measuring the surgical LC has potential benefits for patient safety and surgical education. However, standardisation in the methods and variables used to measure LCs is required. Confounding variables, such as participant's prior experience, case mix, difficulty of procedures and level of supervision, should be controlled. Competency and expert performance should be fully defined. © 2013 The Authors. BJU International © 2013 BJU International.

  13. Integration of e-learning outcomes into work processes

    Directory of Open Access Journals (Sweden)

    Kerstin Grundén

    2011-07-01

    Full Text Available Three case studies of in-house developed e-learning education in public organizations with different pedagogical approaches are used as a starting point for discussion regarding the implementation challenges of e-learning at work. The aim of this article is to contribute to the understanding of integrating mechanisms of e-learning outcomes into work processes in large, public organizations. The case studies were analyzed from a socio-cultural perspective using the MOA-model as a frame of reference. Although the pedagogical approaches for all of the cases seemed to be relevant and most of the learners showed overall positive attitudes towards the courses, there were problems with integration of the e-learning outcomes into work processes. There were deficiencies in the adaption of the course contents to the local educational needs. There was also a lack of adjusting the local work organization and work routines in order to facilitate the integration of the e-learning outcomes into the work processes. A lack of local management engagement affected the learners’ motivation negatively. Group discussions in local work groups facilitated the integration of the e-learning outcomes. Much of the difficulties of integrating e-learning outcomes into work processes in big organizations are related to the problems with adjusting centrally developed e-learning courses to local needs and a lack of co-operation among among the developers (often IT-professionals and the Human Resources Department of the organizations.

  14. Research: Learning outcomes of occupational therapy and ...

    African Journals Online (AJOL)

    Background. Community-based education (CBE) is a learning approach that enables students to acquire skills by means of applied learning in the community. The goals of CBE include creating adequate knowledge, skills and attitudes that facilitate service delivery in communities. These goals ensure the provision of ...

  15. Explaining Differences in Learning Outcomes in Auditing Education

    DEFF Research Database (Denmark)

    Holm, Claus; Steenholdt, Niels

    as well as the accounting profession. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning outcomes is a complex matter requiring sensible measures for both declarative knowledge (ability to verbalize pertinent facts...... or processes) and procedural knowledge (intellectual skills). The performance of 75 graduate accounting students representing both types of schema is examined. The findings suggest that differences in learning outcomes may be attributed to differences in student background and prior knowledge (auditing...

  16. Handwriting generates variable visual output to facilitate symbol learning.

    Science.gov (United States)

    Li, Julia X; James, Karin H

    2016-03-01

    Recent research has demonstrated that handwriting practice facilitates letter categorization in young children. The present experiments investigated why handwriting practice facilitates visual categorization by comparing 2 hypotheses: that handwriting exerts its facilitative effect because of the visual-motor production of forms, resulting in a direct link between motor and perceptual systems, or because handwriting produces variable visual instances of a named category in the environment that then changes neural systems. We addressed these issues by measuring performance of 5-year-old children on a categorization task involving novel, Greek symbols across 6 different types of learning conditions: 3 involving visual-motor practice (copying typed symbols independently, tracing typed symbols, tracing handwritten symbols) and 3 involving visual-auditory practice (seeing and saying typed symbols of a single typed font, of variable typed fonts, and of handwritten examples). We could therefore compare visual-motor production with visual perception both of variable and similar forms. Comparisons across the 6 conditions (N = 72) demonstrated that all conditions that involved studying highly variable instances of a symbol facilitated symbol categorization relative to conditions where similar instances of a symbol were learned, regardless of visual-motor production. Therefore, learning perceptually variable instances of a category enhanced performance, suggesting that handwriting facilitates symbol understanding by virtue of its environmental output: supporting the notion of developmental change though brain-body-environment interactions. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  17. Handwriting generates variable visual input to facilitate symbol learning

    Science.gov (United States)

    Li, Julia X.; James, Karin H.

    2015-01-01

    Recent research has demonstrated that handwriting practice facilitates letter categorization in young children. The present experiments investigated why handwriting practice facilitates visual categorization by comparing two hypotheses: That handwriting exerts its facilitative effect because of the visual-motor production of forms, resulting in a direct link between motor and perceptual systems, or because handwriting produces variable visual instances of a named category in the environment that then changes neural systems. We addressed these issues by measuring performance of 5 year-old children on a categorization task involving novel, Greek symbols across 6 different types of learning conditions: three involving visual-motor practice (copying typed symbols independently, tracing typed symbols, tracing handwritten symbols) and three involving visual-auditory practice (seeing and saying typed symbols of a single typed font, of variable typed fonts, and of handwritten examples). We could therefore compare visual-motor production with visual perception both of variable and similar forms. Comparisons across the six conditions (N=72) demonstrated that all conditions that involved studying highly variable instances of a symbol facilitated symbol categorization relative to conditions where similar instances of a symbol were learned, regardless of visual-motor production. Therefore, learning perceptually variable instances of a category enhanced performance, suggesting that handwriting facilitates symbol understanding by virtue of its environmental output: supporting the notion of developmental change though brain-body-environment interactions. PMID:26726913

  18. e-Learning in Advanced Life Support-What factors influence assessment outcome?

    Science.gov (United States)

    Thorne, C J; Lockey, A S; Kimani, P K; Bullock, I; Hampshire, S; Begum-Ali, S; Perkins, G D

    2017-05-01

    To establish variables which are associated with favourable Advanced Life Support (ALS) course assessment outcomes, maximising learning effect. Between 1 January 2013 and 30 June 2014, 8218 individuals participated in a Resuscitation Council (UK) e-learning Advanced Life Support (e-ALS) course. Participants completed 5-8h of online e-learning prior to attending a one day face-to-face course. e-Learning access data were collected through the Learning Management System (LMS). All participants were assessed by a multiple choice questionnaire (MCQ) before and after the face-to-face aspect alongside a practical cardiac arrest simulation (CAS-Test). Participant demographics and assessment outcomes were analysed. The mean post e-learning MCQ score was 83.7 (SD 7.3) and the mean post-course MCQ score was 87.7 (SD 7.9). The first attempt CAS-Test pass rate was 84.6% and overall pass rate 96.6%. Participants with previous ALS experience, ILS experience, or who were a core member of the resuscitation team performed better in the post-course MCQ, CAS-Test and overall assessment. Median time spent on the e-learning was 5.2h (IQR 3.7-7.1). There was a large range in the degree of access to e-learning content. Increased time spent accessing e-learning had no effect on the overall result (OR 0.98, P=0.367) on simulated learning outcome. Clinical experience through membership of cardiac arrest teams and previous ILS or ALS training were independent predictors of performance on the ALS course whilst time spent accessing e-learning materials did not affect course outcomes. This supports the blended approach to e-ALS which allows participants to tailor their e-learning experience to their specific needs. Copyright © 2017 Elsevier B.V. All rights reserved.

  19. Student Self-Reported Learning Outcomes of Field Trips: The pedagogical impact

    Science.gov (United States)

    Lavie Alon, Nirit; Tal, Tali

    2015-05-01

    In this study, we used the classification and regression trees (CART) method to draw relationships between student self-reported learning outcomes in 26 field trips to natural environments and various characteristics of the field trip that include variables associated with preparation and pedagogy. We wished to examine the extent to which the preparation for the field trip, its connection to the school curriculum, and the pedagogies used, affect students' self-reported outcomes in three domains: cognitive, affective, and behavioral; and the extent the students' socioeconomic group and the guide's affiliation affect students' reported learning outcomes. Given that most of the field trips were guide-centered, the most important variable that affected the three domains of outcomes was the guide's storytelling. Other variables that showed relationships with self-reported outcomes were physical activity and making connections to everyday life-all of which we defined as pedagogical variables. We found no significant differences in student self-reported outcomes with respect to their socioeconomic group and the guide's organizational affiliation.

  20. Doing Outcomes-Based Collaborative Teaching and Learning in Asia

    Science.gov (United States)

    van Schalkwyk, Gertina J.

    2015-01-01

    This chapter focuses on applying the concepts of outcomes-based collaborative teaching and learning in an Asian context and with students coming from a Confucian heritage culture and explores examples of how to implement effective collaborative teaching and learning in an Asian higher education setting.

  1. Vicarious Neural Processing of Outcomes during Observational Learning

    NARCIS (Netherlands)

    Monfardini, Elisabetta; Gazzola, Valeria; Boussaoud, Driss; Brovelli, Andrea; Keysers, Christian; Wicker, Bruno

    2013-01-01

    Learning what behaviour is appropriate in a specific context by observing the actions of others and their outcomes is a key constituent of human cognition, because it saves time and energy and reduces exposure to potentially dangerous situations. Observational learning of associative rules relies on

  2. Personality, Organizational Orientations and Self-Reported Learning Outcomes

    Science.gov (United States)

    Bamber, David; Castka, Pavel

    2006-01-01

    Purpose: To identify competencies connecting personality, organizational orientations and self-reported learning outcomes (as measured by concise Likert-type scales), for individuals who are learning for their organizations. Design/methodology/approach: Five concise factor scales were constructed to represent aspects of personality. Three further…

  3. Measuring Student Learning Outcomes Using the SALG Instrument

    Science.gov (United States)

    Scholl, Kathleen; Olsen, Heather M.

    2014-01-01

    U.S. higher education institutions are being called to question their central nature, priorities, and functions, with prominent and unprecedented attention being given to accountability and the measurement of student learning outcomes. As higher education evolves in how it assesses student learning and leisure studies and recreation departments…

  4. Service-Learning in Nonprofit Organizations: Motivations, Expectations, and Outcomes

    Science.gov (United States)

    Basinger, Nancy; Bartholomew, Keith

    2006-01-01

    This article applies theories of giving from philanthropic studies to enhance understanding of service-learning relationships between students and community partners. Focusing on the participation motivations, outcome expectations, and satisfaction levels of community partners who have recently completed work with service-learning students, the…

  5. Measuring Networking as an Outcome Variable in Undergraduate Research Experiences.

    Science.gov (United States)

    Hanauer, David I; Hatfull, Graham

    2015-01-01

    The aim of this paper is to propose, present, and validate a simple survey instrument to measure student conversational networking. The tool consists of five items that cover personal and professional social networks, and its basic principle is the self-reporting of degrees of conversation, with a range of specific discussion partners. The networking instrument was validated in three studies. The basic psychometric characteristics of the scales were established by conducting a factor analysis and evaluating internal consistency using Cronbach's alpha. The second study used a known-groups comparison and involved comparing outcomes for networking scales between two different undergraduate laboratory courses (one involving a specific effort to enhance networking). The final study looked at potential relationships between specific networking items and the established psychosocial variable of project ownership through a series of binary logistic regressions. Overall, the data from the three studies indicate that the networking scales have high internal consistency (α = 0.88), consist of a unitary dimension, can significantly differentiate between research experiences with low and high networking designs, and are related to project ownership scales. The ramifications of the networking instrument for student retention, the enhancement of public scientific literacy, and the differentiation of laboratory courses are discussed. © 2015 D. I. Hanauer and G. Hatfull. CBE—Life Sciences Education © 2015 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  6. A numeric comparison of variable selection algorithms for supervised learning

    International Nuclear Information System (INIS)

    Palombo, G.; Narsky, I.

    2009-01-01

    Datasets in modern High Energy Physics (HEP) experiments are often described by dozens or even hundreds of input variables. Reducing a full variable set to a subset that most completely represents information about data is therefore an important task in analysis of HEP data. We compare various variable selection algorithms for supervised learning using several datasets such as, for instance, imaging gamma-ray Cherenkov telescope (MAGIC) data found at the UCI repository. We use classifiers and variable selection methods implemented in the statistical package StatPatternRecognition (SPR), a free open-source C++ package developed in the HEP community ( (http://sourceforge.net/projects/statpatrec/)). For each dataset, we select a powerful classifier and estimate its learning accuracy on variable subsets obtained by various selection algorithms. When possible, we also estimate the CPU time needed for the variable subset selection. The results of this analysis are compared with those published previously for these datasets using other statistical packages such as R and Weka. We show that the most accurate, yet slowest, method is a wrapper algorithm known as generalized sequential forward selection ('Add N Remove R') implemented in SPR.

  7. Presence relates to distinct outcomes in two virtual environments employing different learning modalities.

    Science.gov (United States)

    Persky, Susan; Kaphingst, Kimberly A; McCall, Cade; Lachance, Christina; Beall, Andrew C; Blascovich, Jim

    2009-06-01

    Presence in virtual learning environments (VLEs) has been associated with a number of outcome factors related to a user's ability and motivation to learn. The extant but relatively small body of research suggests that a high level of presence is related to better performance on learning outcomes in VLEs. Different configurations of form and content variables such as those associated with active (self-driven, interactive activities) versus didactic (reading or lecture) learning may, however, influence how presence operates and on what content it operates. We compared the influence of presence between two types of immersive VLEs (i.e., active versus didactic techniques) on comprehension and engagement-related outcomes. The findings revealed that the active VLE promoted greater presence. Although we found no relationship between presence and learning comprehension outcomes for either virtual environment, presence was related to information engagement variables in the didactic immersive VLE but not the active environment. Results demonstrate that presence is not uniformly elicited or effective across immersive VLEs. Educational delivery mode and environment complexity may influence the impact of presence on engagement.

  8. Evaluation of Several Learning Environment Variables at Secondary Institutions

    Directory of Open Access Journals (Sweden)

    Murat Tuncer

    2012-06-01

    Full Text Available Health is an issue whose importance needs to be focused in the learning environment and learning activities in education. The level of teaching and learning is known to effect health of learners. Learning environments are teeming with many variables. Ambient temperature, noise, humidity and illumination are a few of them. If these variables are outside the specified limits for ambient levels this may need to a loss of learning and adversely affect the health of learners. This research was conducted to evaluate this aspect at institutions of secondary education in Turkey. The literature discusses the findings of various measurements that were taken with a variety of devices such as the Environment Meter-DT 8820, GMI PN 66094 and AARONIA AG SPECTRAN at randomly selected schools and classes. The temperature and carbon dioxide values in the classrooms were outside the defined limits according to research findings. In addition, many classrooms had noise levels above limits which could impair human health and some color selections in classrooms were made incorrectly. When the results of the findings are analyzed, we find the learner’s metabolism is negatively affected; attention loss and serious health problems may be experienced in the long run. It is highly recommended that laws and regulations regarding school construction and settlement be enacted and that precise limits be defined in those laws. In addition, it is thought establishing electromechanical systems to measure indoor and outdoor air quality in classrooms would bring benefits

  9. An e-learning course in medical immunology: does it improve learning outcome?

    Science.gov (United States)

    Boye, Sondre; Moen, Torolf; Vik, Torstein

    2012-01-01

    E-learning is used by most medical students almost daily and several studies have shown e-learning to improve learning outcome in small-scale interventions. However, few studies have explored the effects of e-learning in immunology. To study the effect of an e-learning package in immunology on learning outcomes in a written integrated examination and to examine student satisfaction with the e-learning package. All second-year students at a Norwegian medical school were offered an animated e-learning package in basic immunology as a supplement to the regular teaching. Each student's log-on-time was recorded and linked with the student's score on multiple choice questions included in an integrated end-of-the-year written examination. Student satisfaction was assessed through a questionnaire. The intermediate-range students (interquartile range) on average scored 3.6% better on the immunology part of the examination per hour they had used the e-learning package (p = 0.0046) and log-on-time explained 17% of the variance in immunology score. The best and the less skilled students' examination outcomes were not affected by the e-learning. The e-learning was well appreciated among the students. Use of an e-learning package in immunology in addition to regular teaching improved learning outcomes for intermediate-range students.

  10. Gain and loss learning differentially contribute to life financial outcomes.

    Directory of Open Access Journals (Sweden)

    Brian Knutson

    Full Text Available Emerging findings imply that distinct neurobehavioral systems process gains and losses. This study investigated whether individual differences in gain learning and loss learning might contribute to different life financial outcomes (i.e., assets versus debt. In a community sample of healthy adults (n = 75, rapid learners had smaller debt-to-asset ratios overall. More specific analyses, however, revealed that those who learned rapidly about gains had more assets, while those who learned rapidly about losses had less debt. These distinct associations remained strong even after controlling for potential cognitive (e.g., intelligence, memory, and risk preferences and socioeconomic (e.g., age, sex, ethnicity, income, education confounds. Self-reported measures of assets and debt were additionally validated with credit report data in a subset of subjects. These findings support the notion that different gain and loss learning systems may exert a cumulative influence on distinct life financial outcomes.

  11. Learning More than Expected: The Influence of Teachers' Attitudes on Children's Learning Outcomes

    Science.gov (United States)

    Youn, Minjong

    2016-01-01

    This study employed the concept of teachers' sense of responsibility for students' learning to examine the extent to which the gap in math learning growth is reduced and whether such attitudes can improve children's learning outcomes to a degree that is above and beyond their expected achievement relative to their initial academic skills. Analysis…

  12. Implementing Collaborative Learning in Prelicensure Nursing Curricula: Student Perceptions and Learning Outcomes.

    Science.gov (United States)

    Schoening, Anne M; Selde, M Susan; Goodman, Joely T; Tow, Joyce C; Selig, Cindy L; Wichman, Chris; Cosimano, Amy; Galt, Kimberly A

    2015-01-01

    This study evaluated learning outcomes and student perceptions of collaborative learning in an undergraduate nursing program. Participants in this 3-phase action research study included students enrolled in a traditional and an accelerated nursing program. The number of students who passed the unit examination was not significantly different between the 3 phases. Students had positive and negative perceptions about the use of collaborative learning.

  13. Effect of Mastery Learning on Senior Secondary School Students' Cognitive Learning Outcome in Quantitative Chemistry

    Science.gov (United States)

    Mitee, Telimoye Leesi; Obaitan, Georgina N.

    2015-01-01

    The cognitive learning outcome of Senior Secondary School chemistry students has been poor over the years in Nigeria. Poor mathematical skills and inefficient teaching methods have been identified as some of the major reasons for this. Bloom's theory of school learning and philosophy of mastery learning assert that virtually all students are…

  14. Comparing Virtual and Location-Based Augmented Reality Mobile Learning: Emotions and Learning Outcomes

    Science.gov (United States)

    Harley, Jason M.; Poitras, Eric G.; Jarrell, Amanda; Duffy, Melissa C.; Lajoie, Susanne P.

    2016-01-01

    Research on the effectiveness of augmented reality (AR) on learning exists, but there is a paucity of empirical work that explores the role that positive emotions play in supporting learning in such settings. To address this gap, this study compared undergraduate students' emotions and learning outcomes during a guided historical tour using mobile…

  15. Learning Outcomes in Vocational Education: A Business Plan Development by Production-Based Learning Model Approach

    Science.gov (United States)

    Kusumaningrum, Indrati; Hidayat, Hendra; Ganefri; Anori, Sartika; Dewy, Mega Silfia

    2016-01-01

    This article describes the development of a business plan by using production-based learning approach. In addition, this development also aims to maximize learning outcomes in vocational education. Preliminary analysis of curriculum and learning and the needs of the market and society become the basic for business plan development. To produce a…

  16. The development of learning material using learning cycle 5E model based stem to improve students’ learning outcomes in Thermochemistry

    Science.gov (United States)

    sugiarti, A. C.; suyatno, S.; Sanjaya, I. G. M.

    2018-04-01

    The objective of this study is describing the feasibility of Learning Cycle 5E STEM (Science, Technology, Engineering, and Mathematics) based learning material which is appropriate to improve students’ learning achievement in Thermochemistry. The study design used 4-D models and one group pretest-posttest design to obtain the information about the improvement of sudents’ learning outcomes. The subject was learning cycle 5E based STEM learning materials which the data were collected from 30 students of Science class at 11th Grade. The techniques used in this study were validation, observation, test, and questionnaire. Some result attain: (1) all the learning materials contents were valid, (2) the practicality and the effectiveness of all the learning materials contents were classified as good. The conclution of this study based on those three condition, the Learnig Cycle 5E based STEM learning materials is appropriate to improve students’ learning outcomes in studying Thermochemistry.

  17. Heterogeneous inflation expectations, learning, and market outcomes

    OpenAIRE

    Madeira, Carlos; Zafar, Basit

    2012-01-01

    Using the panel component of the Michigan Survey of Consumers, we show that individuals, in particular women and ethnic minorities, are highly heterogeneous in their expectations of inflation. We estimate a model of inflation expectations based on learning from experience that also allows for heterogeneity in both private information and updating. Our model vastly outperforms existing models of inflation expectations in explaining the heterogeneity in the data. We find that women, ethnic mino...

  18. Heterogeneus Inflation Expectations Learning and Market Outcomes

    OpenAIRE

    Carlos Madeira; Basit Zafar

    2012-01-01

    Using the panel component of the Michigan Survey of Consumers we estimate a learning model of inflation expectations, allowing for heterogeneous use of both private information and lifetime inflation experience. We find that women, ethnic minorities, and less educated agents have a higher degree of heterogeneity in their private information, and are slower to update their expectations. During the 2000s, consumers believe inflation to be more persistent in the short term, but temporary fluctua...

  19. Understanding the variable effect of instructional innovations on student learning

    Science.gov (United States)

    Iverson, Heidi L.

    2012-02-01

    As a result of dissatisfaction with the traditional lecture-based model of education a large number of reform-oriented instructional innovations have been developed, enacted, and studied in undergraduate physics courses. While previous work has shown that the impact of instructional innovations on student learning has been overwhelmingly positive, it has also been highly variable. The purpose of this analysis is to investigate this variability. For this analysis, 79 published studies on undergraduate physics instructional innovations were analyzed with respect to the types of innovations used and the methodological characteristics of the studies themselves. The findings of this analysis have indicated that nearly half of the variability in effect size can be accounted for by study design characteristics rather than by the characteristics of the innovations used. However, a subsequent analysis illustrated that one specific innovation, Workshop/Studio Physics, appears to be particularly effective within the observed sample of studies.

  20. Blended Learning Based on Schoology: Effort of Improvement Learning Outcome and Practicum Chance in Vocational High School

    Science.gov (United States)

    Irawan, Vincentius Tjandra; Sutadji, Eddy; Widiyanti

    2017-01-01

    The aims of this study were to determine: (1) the differences in learning outcome between Blended Learning based on Schoology and Problem-Based Learning, (2) the differences in learning outcome between students with prior knowledge of high, medium, and low, and (3) the interaction between Blended Learning based on Schoology and prior knowledge to…

  1. ENVIRONMENTAL LEARNING APPROACHES IN IMPROVING LEARNING OUTCOMES IN ACID-BASE SUBJECT

    Directory of Open Access Journals (Sweden)

    Rachmat Sahputra

    2016-03-01

    Full Text Available Learning in the understanding of acid-base chemistry in schools needs to be improved so research to determine differences in learning outcomes between students taught using environmental approaches and methods lectures in class XI SMA on acid-base subject needs to be done. In this study, using a quasi-experimental method using a data collection tool achievement test essay form. The test statistic results of the post-test learning has been obtained Asymp value. Sig (2-tailed 0,026 that showed the differences between students' learning outcomes with a control experimental class with effect size of 0.63 or much influence difference with the percentage 23.57% which indicated that the learning environment approach can improve learning outcomes of high school students.

  2. Human θ burst stimulation enhances subsequent motor learning and increases performance variability.

    Science.gov (United States)

    Teo, James T H; Swayne, Orlando B C; Cheeran, Binith; Greenwood, Richard J; Rothwell, John C

    2011-07-01

    Intermittent theta burst stimulation (iTBS) transiently increases motor cortex excitability in healthy humans by a process thought to involve synaptic long-term potentiation (LTP), and this is enhanced by nicotine. Acquisition of a ballistic motor task is likewise accompanied by increased excitability and presumed intracortical LTP. Here, we test how iTBS and nicotine influences subsequent motor learning. Ten healthy subjects participated in a double-blinded placebo-controlled trial testing the effects of iTBS and nicotine. iTBS alone increased the rate of learning but this increase was blocked by nicotine. We then investigated factors other than synaptic strengthening that may play a role. Behavioral analysis and modeling suggested that iTBS increased performance variability, which correlated with learning outcome. A control experiment confirmed the increase in motor output variability by showing that iTBS increased the dispersion of involuntary transcranial magnetic stimulation-evoked thumb movements. We suggest that in addition to the effect on synaptic plasticity, iTBS may have facilitated performance by increasing motor output variability; nicotine negated this effect on variability perhaps via increasing the signal-to-noise ratio in cerebral cortex.

  3. Integration of e-learning outcomes into work processes

    OpenAIRE

    Kerstin Grundén

    2011-01-01

    Three case studies of in-house developed e-learning education in public organizations with different pedagogical approaches are used as a starting point for discussion regarding the implementation challenges of e-learning at work. The aim of this article is to contribute to the understanding of integrating mechanisms of e-learning outcomes into work processes in large, public organizations. The case studies were analyzed from a socio-cultural perspective using the MOA-model as a frame of refe...

  4. The structure of observed learning outcome (SOLO) taxonomy: a model to promote dental students' learning.

    Science.gov (United States)

    Lucander, H; Bondemark, L; Brown, G; Knutsson, K

    2010-08-01

    Selective memorising of isolated facts or reproducing what is thought to be required - the surface approach to learning - is not the desired outcome for a dental student or a dentist in practice. The preferred outcome is a deep approach as defined by an intention to seek understanding, develop expertise and relate information and knowledge into a coherent whole. The aim of this study was to investigate whether the structure of observed learning outcome (SOLO) taxonomy could be used as a model to assist and promote the dental students to develop a deep approach to learning assessed as learning outcomes in a summative assessment. Thirty-two students, participating in course eight in 2007 at the Faculty of Odontology at Malmö University, were introduced to the SOLO taxonomy and constituted the test group. The control group consisted of 35 students participating in course eight in 2006. The effect of the introduction was measured by evaluating responses to a question in the summative assessment by using the SOLO taxonomy. The evaluators consisted of two teachers who performed the assessment of learning outcomes independently and separately on the coded material. The SOLO taxonomy as a model for learning was found to improve the quality of learning. Compared to the control group significantly more strings and structured relations between these strings were present in the test group after the SOLO taxonomy had been introduced (P SOLO taxonomy is recommended as a model for promoting and developing a deeper approach to learning in dentistry.

  5. Enhancing learning: A comparison of lecture and gaming outcomes.

    Science.gov (United States)

    Gipson, Mary; Bear, Mary

    2013-01-01

    Contrary to what we anticipated, our outcomes indicated that learning and satisfaction with learning were no different between the traditional lecture group and the educational gaming group. Learners in the gaming group scored on the examination just as well as, but no higher than, did those in the lecture group. Similarly, students in the gaming group were just as, but no more, satisfied with their learning than were students in the lecture group. Of note, both teaching/learning strategies were shown to be effective for learning with students earning a B average on the examination. Likewise, students in both groups were very satisfied with their respective teaching/learning strategies. Given that our assessment did not support gaming as a superior teaching/learning strategy over lecture, what remains now is the need for a longitudinal study to determine if there are differences in long-term learning. As we implement creative methods of instruction, it is also important to test their effectiveness to ensure that the teaching-learning process is evidence based.

  6. Clinical Operations Variables are Associated With Blood Pressure Outcomes.

    Science.gov (United States)

    Kressin, Nancy R; Lasser, Karen E; Paasche-Orlow, Michael; Allison, Jeroan; Ash, Arlene S; Adams, William G; Shanahan, Christopher W; Legler, Aaron; Pizer, Steven D

    2015-06-01

    Uncontrolled blood pressure (BP), among patients diagnosed and treated for the condition, remains an important clinical challenge; aspects of clinical operations could potentially be adjusted if they were associated with better outcomes. To assess clinical operations factors' effects on normalization of uncontrolled BP. Observational cohort study. Patients diagnosed with hypertension from a large urban clinical practice (2005-2009). We obtained clinical data on BP, organized by person-month, and administrative data on primary care provider (PCP) staffing. We assessed the resolution of an episode of uncontrolled BP as a function of time-varying covariates including practice-level appointment volume, individual clinicians' appointment volume, overall practice-level PCP staffing, and number of unique PCPs. Among the 7409 unique patients representing 50,403 person-months, normalization was less likely for the patients in whom the episode starts during months when the number of unique PCPs were high [the top quintile of unique PCPs was associated with a 9 percentage point lower probability of normalization (Ppercentage point reduction in the probability of normalization (P=0.01)]. Neither clinician appointment volume nor practice clinician staffing levels were significantly associated with the probability of normalization. Findings suggest that clinical operations factors can affect clinical outcomes like BP normalization, and point to the importance of considering outcome effects when organizing clinical care.

  7. The better you feel the better you learn: do warm colours and rounded shapes enhance learning outcome in multimedia learning?

    OpenAIRE

    Münchow, Hannes; Mengelkamp, Christoph; Bannert, Maria

    2018-01-01

    The aim of the present study was to examine whether fostering positive activating affect during multimedia learning enhances learning outcome. University students were randomly assigned to either a multimedia learning environment designed to induce positive activating affect through the use of “warm” colours and rounded shapes (n=61) or an affectively neutral environment that used achromatic colours and sharp edges (n=50). Participants learned about the topic of functional neuroanatomy for 20...

  8. Online Quiz Time Limits and Learning Outcomes in Economics

    Science.gov (United States)

    Evans, Brent; Culp, Robert

    2015-01-01

    In an effort to better understand the impact of timing limits, the authors compare the learning outcomes of students who completed timed quizzes with students who took untimed quizzes in economics principles courses. Students were assigned two online quizzes--one timed and one untimed--and re-tested on the material the following class day. Our…

  9. Writing Learning Outcomes for English Language Lessons in Multilingual Schools

    Science.gov (United States)

    Jones, Sally Ann

    2016-01-01

    This article proposes a pedagogic innovation in teacher education by articulating a method for writing learning outcomes for English language lessons in multilingual school contexts. The argument for this approach is founded on curriculum studies; however, the practice also draws specifically on applied psycholinguistic and sociolinguistic…

  10. Modifying Softball for Maximizing Learning Outcomes in Physical Education

    Science.gov (United States)

    Brian, Ali; Ward, Phillip; Goodway, Jacqueline D.; Sutherland, Sue

    2014-01-01

    Softball is taught in many physical education programs throughout the United States. This article describes modifications that maximize learning outcomes and that address the National Standards and safety recommendations. The modifications focus on tasks and equipment, developmentally appropriate motor-skill acquisition, increasing number of…

  11. Learning Outcomes in Professional Contexts in Higher Education

    Science.gov (United States)

    Prøitz, Tine S.; Havnes, Anton; Briggs, Mary; Scott, Ian

    2017-01-01

    With the policy of developing a transparent and competitive European higher education sector, learning outcomes (LOs) are attributed a foundation stone role in policy and curriculum development. A premise for their implementation is that they bear fundamental similarities across national, institutional or professional/disciplinary contexts. In…

  12. Communicating Learning Outcomes and Student Performance through the Student Transcript

    Science.gov (United States)

    Kenyon, George; Barnes, Cynthia

    2010-01-01

    The university accreditation process now puts more emphasis on self assessment. This change requires universities to identify program objectives, performance indicators, and areas for improvement. Many accrediting institutions are requiring that institutions communicate clearly to constituents: 1) what learning outcomes were achieved by students,…

  13. The Effects of Game Design on Learning Outcomes

    Science.gov (United States)

    Martin, Michael W.; Shen, Yuzhong

    2014-01-01

    This article details the administration and results of an experiment conducted to assess the impact of three video game design concepts upon learning outcomes. The principles tested include game aesthetics, player choice, and player competition. The experiment participants were asked to play a serious game over the course of a week, and the…

  14. Outcomes-Based Assessment and Learning: Trialling Change in a Postgraduate Civil Engineering Course

    Science.gov (United States)

    El-Maaddawy, Tamer; Deneen, Christopher

    2017-01-01

    This paper aims to demonstrate how assessment tasks can function within an outcomes-based learning framework to evaluate student attainment of learning outcomes. An outcomes-based learning framework designed to integrate teaching, learning, and assessment activities was developed and implemented in a civil engineering master-level course. The…

  15. Measuring Learning Outcomes. A Learner Perspective in Auditing Education

    DEFF Research Database (Denmark)

    Holm, Claus; Steenholdt, Niels

    2000-01-01

    The ability to provide sensible measures for learning outcomes in accounting education is under increased scrutiny. In this paper we use a learner perspective in auditing education which reflects that some students taking accounting classes also are provided with on-the-job training in accounting...... for students taking a graduate auditing course reflect prior accounting work experience for some students and undergraduate accounting coursework experience for all students. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning...... suggested by Robert M. Gagné. An instrument was developed to measure differences regarding learning outcomes in the context of an auditing course by posing a broad set of questions testing declarative knowledge and the full range of intellectual skills from discrimination to the use of higher...

  16. Learning effect and test-retest variability of pulsar perimetry.

    Science.gov (United States)

    Salvetat, Maria Letizia; Zeppieri, Marco; Parisi, Lucia; Johnson, Chris A; Sampaolesi, Roberto; Brusini, Paolo

    2013-03-01

    To assess Pulsar Perimetry learning effect and test-retest variability (TRV) in normal (NORM), ocular hypertension (OHT), glaucomatous optic neuropathy (GON), and primary open-angle glaucoma (POAG) eyes. This multicenter prospective study included 43 NORM, 38 OHT, 33 GON, and 36 POAG patients. All patients underwent standard automated perimetry and Pulsar Contrast Perimetry using white stimuli modulated in phase and counterphase at 30 Hz (CP-T30W test). The learning effect and TRV for Pulsar Perimetry were assessed for 3 consecutive visual fields (VFs). The learning effect were evaluated by comparing results from the first session with the other 2. TRV was assessed by calculating the mean of the differences (in absolute value) between retests for each combination of single tests. TRV was calculated for Mean Sensitivity, Mean Defect, and single Mean Sensitivity for each 66 test locations. Influence of age, VF eccentricity, and loss severity on TRV were assessed using linear regression analysis and analysis of variance. The learning effect was not significant in any group (analysis of variance, P>0.05). TRV for Mean Sensitivity and Mean Defect was significantly lower in NORM and OHT (0.6 ± 0.5 spatial resolution contrast units) than in GON and POAG (0.9 ± 0.5 and 1.0 ± 0.8 spatial resolution contrast units, respectively) (Kruskal-Wallis test, P=0.04); however, the differences in NORM among age groups was not significant (Kruskal-Wallis test, P>0.05). Slight significant differences were found for the single Mean Sensitivity TRV among single locations (Duncan test, PPulsar Perimetry CP-T30W test did not show significant learning effect in patients with standard automated perimetry experience. TRV for global indices was generally low, and was not related to patient age; it was only slightly affected by VF defect eccentricity, and significantly influenced by VF loss severity.

  17. Learning by Helping? Undergraduate Communication Outcomes Associated with Training or Service-Learning Experiences

    Science.gov (United States)

    Katz, Jennifer; DuBois, Melinda; Wigderson, Sara

    2014-01-01

    This study investigated communication outcomes after training or applied service-learning experiences. Pre-practicum trainees learned active listening skills over 10 weeks. Practicum students were successful trainees who staffed a helpline. Community interns were trained and supervised at community agencies. Undergraduate students in psychology…

  18. Pros & Cons of Using Blackboard Collaborate for Blended Learning on Students' Learning Outcomes

    Science.gov (United States)

    Hamad, Mona M.

    2017-01-01

    Blackboard Collaborate was introduced to King Khalid University recently in the last decade; instructors and students were trained to use it in an effective way. The objective of this study is to find pros and cons of using Blackboard Collaborate for Blended Learning and its effect on students' learning outcomes. The researcher used the…

  19. Learning Outcomes and Affective Factors of Blended Learning of English for Library Science

    Science.gov (United States)

    Wentao, Chen; Jinyu, Zhang; Zhonggen, Yu

    2016-01-01

    English for Library Science is an essential course for students to command comprehensive scope of library knowledge. This study aims to compare the learning outcomes, gender differences and affective factors in the environments of blended and traditional learning. Around one thousand participants from one university were randomly selected to…

  20. Students' Characteristics, Self-Regulated Learning, Technology Self-Efficacy, and Course Outcomes in Online Learning

    Science.gov (United States)

    Wang, Chih-Hsuan; Shannon, David M.; Ross, Margaret E.

    2013-01-01

    The purpose of this study was to examine the relationship among students' characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified…

  1. The Effect of Formative Testing and Self-Directed Learning on Mathematics Learning Outcomes

    Science.gov (United States)

    Sumantri, Mohamad Syarif; Satriani, Retni

    2016-01-01

    The purpose of this research was to determine the effect of formative testing and self-directed learning on mathematics learning outcomes. The research was conducted at an elementary school in central Jakarta during the 2014/2015 school year. Seventy-two fourth-grade students who were selected using random sampling participated in this study. Data…

  2. Road Testing Graduate Attributes and Course Learning Outcomes of an Environmental Science Degree via a Work-Integrated Learning Placement

    Science.gov (United States)

    Whelan, Michael

    2017-01-01

    Graduate attributes and course learning outcomes are an integral part of higher education in Australia. Testing the performance of graduates in the workplace with regard to graduate attributes and course learning outcomes is a not a common occurrence. This study has road tested the graduate attributes and course learning outcomes of a bachelor…

  3. Effects of Elicited Reflections combined with Tutor or Peer Feedback on Self-Regulated Learning and Learning Outcomes

    NARCIS (Netherlands)

    Van den Boom, Gerard; Paas, Fred; Van Merriënboer, Jeroen

    2009-01-01

    Van den Boom, G., Paas, F., & Van Merriënboer, J. J. G. (2007). Effects of elicited reflections combined with tutor or peer feedback on self-regulated learning and learning outcomes. Learning and Instruction, 17, 532-548.

  4. Clustering-based Feature Learning on Variable Stars

    Science.gov (United States)

    Mackenzie, Cristóbal; Pichara, Karim; Protopapas, Pavlos

    2016-04-01

    The success of automatic classification of variable stars depends strongly on the lightcurve representation. Usually, lightcurves are represented as a vector of many descriptors designed by astronomers called features. These descriptors are expensive in terms of computing, require substantial research effort to develop, and do not guarantee a good classification. Today, lightcurve representation is not entirely automatic; algorithms must be designed and manually tuned up for every survey. The amounts of data that will be generated in the future mean astronomers must develop scalable and automated analysis pipelines. In this work we present a feature learning algorithm designed for variable objects. Our method works by extracting a large number of lightcurve subsequences from a given set, which are then clustered to find common local patterns in the time series. Representatives of these common patterns are then used to transform lightcurves of a labeled set into a new representation that can be used to train a classifier. The proposed algorithm learns the features from both labeled and unlabeled lightcurves, overcoming the bias using only labeled data. We test our method on data sets from the Massive Compact Halo Object survey and the Optical Gravitational Lensing Experiment; the results show that our classification performance is as good as and in some cases better than the performance achieved using traditional statistical features, while the computational cost is significantly lower. With these promising results, we believe that our method constitutes a significant step toward the automation of the lightcurve classification pipeline.

  5. CLUSTERING-BASED FEATURE LEARNING ON VARIABLE STARS

    International Nuclear Information System (INIS)

    Mackenzie, Cristóbal; Pichara, Karim; Protopapas, Pavlos

    2016-01-01

    The success of automatic classification of variable stars depends strongly on the lightcurve representation. Usually, lightcurves are represented as a vector of many descriptors designed by astronomers called features. These descriptors are expensive in terms of computing, require substantial research effort to develop, and do not guarantee a good classification. Today, lightcurve representation is not entirely automatic; algorithms must be designed and manually tuned up for every survey. The amounts of data that will be generated in the future mean astronomers must develop scalable and automated analysis pipelines. In this work we present a feature learning algorithm designed for variable objects. Our method works by extracting a large number of lightcurve subsequences from a given set, which are then clustered to find common local patterns in the time series. Representatives of these common patterns are then used to transform lightcurves of a labeled set into a new representation that can be used to train a classifier. The proposed algorithm learns the features from both labeled and unlabeled lightcurves, overcoming the bias using only labeled data. We test our method on data sets from the Massive Compact Halo Object survey and the Optical Gravitational Lensing Experiment; the results show that our classification performance is as good as and in some cases better than the performance achieved using traditional statistical features, while the computational cost is significantly lower. With these promising results, we believe that our method constitutes a significant step toward the automation of the lightcurve classification pipeline

  6. CLUSTERING-BASED FEATURE LEARNING ON VARIABLE STARS

    Energy Technology Data Exchange (ETDEWEB)

    Mackenzie, Cristóbal; Pichara, Karim [Computer Science Department, Pontificia Universidad Católica de Chile, Santiago (Chile); Protopapas, Pavlos [Institute for Applied Computational Science, Harvard University, Cambridge, MA (United States)

    2016-04-01

    The success of automatic classification of variable stars depends strongly on the lightcurve representation. Usually, lightcurves are represented as a vector of many descriptors designed by astronomers called features. These descriptors are expensive in terms of computing, require substantial research effort to develop, and do not guarantee a good classification. Today, lightcurve representation is not entirely automatic; algorithms must be designed and manually tuned up for every survey. The amounts of data that will be generated in the future mean astronomers must develop scalable and automated analysis pipelines. In this work we present a feature learning algorithm designed for variable objects. Our method works by extracting a large number of lightcurve subsequences from a given set, which are then clustered to find common local patterns in the time series. Representatives of these common patterns are then used to transform lightcurves of a labeled set into a new representation that can be used to train a classifier. The proposed algorithm learns the features from both labeled and unlabeled lightcurves, overcoming the bias using only labeled data. We test our method on data sets from the Massive Compact Halo Object survey and the Optical Gravitational Lensing Experiment; the results show that our classification performance is as good as and in some cases better than the performance achieved using traditional statistical features, while the computational cost is significantly lower. With these promising results, we believe that our method constitutes a significant step toward the automation of the lightcurve classification pipeline.

  7. Exploring the relation between online case-based discussions and learning outcomes in dental education.

    Science.gov (United States)

    Koole, Sebastiaan; Vervaeke, Stijn; Cosyn, Jan; De Bruyn, Hugo

    2014-11-01

    Online case-based discussions, parallel to theoretical dental education, have been highly valued by students and supervisors. This study investigated the relation between variables of online group discussions and learning outcomes. At Ghent University in Belgium, undergraduate dental students (years two and three) are required to participate in online case-based discussion groups (five students/group) in conjunction with two theoretical courses on basic periodontics and related therapy. Each week, a patient case is discussed under supervision of a periodontist, who authored the case and performed the treatment. Each case includes treatment history and demand, intra- and extraoral images, and full diagnostic information with periodontal and radiographic status. For this retrospective study, data were obtained for all 252 students in forty-three discussion groups between 2009 and 2012. Spearman's rank correlations were calculated to investigate the relation among group dynamics (number of group posts and views), individual student contributions (number of individual posts, newly introduced elements, questions, and reactions to other posts), supervisors' interventions (number of posts and posed questions), and learning outcomes (examination result). The results showed that learning outcomes were significantly related to the number of student posts (Spearman's rho (ρ)=0.19), newly introduced elements (ρ=0.21), reactions to other posts (ρ=0.14), number of supervisors' interventions (ρ=0.12), and supervisors' questions (ρ=0.20). These results suggest that individual student contributions during online case-based discussions and the provided supervision were related to learning outcomes.

  8. Feedback-related negativity codes outcome valence, but not outcome expectancy, during reversal learning.

    Science.gov (United States)

    von Borries, A K L; Verkes, R J; Bulten, B H; Cools, R; de Bruijn, E R A

    2013-12-01

    Optimal behavior depends on the ability to assess the predictive value of events and to adjust behavior accordingly. Outcome processing can be studied by using its electrophysiological signatures--that is, the feedback-related negativity (FRN) and the P300. A prominent reinforcement-learning model predicts an FRN on negative prediction errors, as well as implying a role for the FRN in learning and the adaptation of behavior. However, these predictions have recently been challenged. Notably, studies so far have used tasks in which the outcomes have been contingent on the response. In these paradigms, the need to adapt behavioral responses is present only for negative, not for positive feedback. The goal of the present study was to investigate the effects of positive as well as negative violations of expectancy on FRN amplitudes, without the usual confound of behavioral adjustments. A reversal-learning task was employed in which outcome value and outcome expectancy were orthogonalized; that is, both positive and negative outcomes were equally unexpected. The results revealed a double dissociation, with effects of valence but not expectancy on the FRN and, conversely, effects of expectancy but not valence on the P300. While FRN amplitudes were largest for negative-outcome trials, irrespective of outcome expectancy, P300 amplitudes were largest for unexpected-outcome trials, irrespective of outcome valence. These FRN effects were interpreted to reflect an evaluation along a good-bad dimension, rather than reflecting a negative prediction error or a role in behavioral adaptation. By contrast, the P300 reflects the updating of information relevant for behavior in a changing context.

  9. The effect of learning models and emotional intelligence toward students learning outcomes on reaction rate

    Science.gov (United States)

    Sutiani, Ani; Silitonga, Mei Y.

    2017-08-01

    This research focused on the effect of learning models and emotional intelligence in students' chemistry learning outcomes on reaction rate teaching topic. In order to achieve the objectives of the research, with 2x2 factorial research design was used. There were two factors tested, namely: the learning models (factor A), and emotional intelligence (factor B) factors. Then, two learning models were used; problem-based learning/PBL (A1), and project-based learning/PjBL (A2). While, the emotional intelligence was divided into higher and lower types. The number of population was six classes containing 243 grade X students of SMAN 10 Medan, Indonesia. There were 15 students of each class were chosen as the sample of the research by applying purposive sampling technique. The data were analyzed by applying two-ways analysis of variance (2X2) at the level of significant α = 0.05. Based on hypothesis testing, there was the interaction between learning models and emotional intelligence in students' chemistry learning outcomes. Then, the finding of the research showed that students' learning outcomes in reaction rate taught by using PBL with higher emotional intelligence is higher than those who were taught by using PjBL. There was no significant effect between students with lower emotional intelligence taught by using both PBL and PjBL in reaction rate topic. Based on the finding, the students with lower emotional intelligence were quite hard to get in touch with other students in group discussion.

  10. Improving Student Learning Outcomes Marketing Strategy Lesson By Applying SFAE Learning Model

    Directory of Open Access Journals (Sweden)

    Winda Nur Rohmawati

    2017-11-01

    Full Text Available Research objectives for improving student learning outcomes on the subjects of marketing strategy through the implementation of model learning SFAE. This type of research this is a class action research using a qualitative approach which consists of two cycles with the subject Marketing X grade SMK YPI Darussalam 2 Cerme Gresik Regency. This research consists of four stages: (1 the Planning Act, (2 the implementation of the action, (3 observations (observation, and (4 Reflection. The result of the research shows that cognitive and affective learning outcomes of students have increased significantly.

  11. Analysing learning outcomes in an Electrical Engineering curriculum using illustrative verbs derived from Bloom's Taxonomy

    Science.gov (United States)

    Meda, Lawrence; Swart, Arthur James

    2018-05-01

    Learning outcomes are essential to any curriculum in education, where they need to be clear, observable and measurable. However, some academics structure learning outcomes in a way that does not promote student learning. The purpose of this article is to present the analyses of learning outcomes of an Electrical Engineering curriculum offered at a University of Technology in South Africa, in order to determine if academics are structuring them in a way that enables student learning. A qualitative case study is used where the learning outcomes from 33 study guides are reviewed using illustrative verbs derived from Bloom's Taxonomy. Results indicate that 9% of all the learning outcomes are unclear, 10% are unobservable and 23% are unmeasurable. A key recommendation is to provide regular workshops to assist academics in reviewing their learning outcomes using the illustrative verbs derived from Bloom's Taxonomy, thereby ensuring that their learning outcomes promote student learning.

  12. Feedback-related negativity codes outcome valence, but not outcome expectancy, during reversal learning

    NARCIS (Netherlands)

    Borries, A.K.L. von; Verkes, R.J.; Bulten, B.H.; Cools, R.; Bruijn, E.R.A. de

    2013-01-01

    Optimal behavior depends on the ability to assess the predictive value of events and to adjust behavior accordingly. Outcome processing can be studied by using its electrophysiological signatures-that is, the feedback-related negativity (FRN) and the P300. A prominent reinforcement-learning model

  13. Feedback-related negativity codes outcome valence, but not outcome expectancy, during reversal learning

    NARCIS (Netherlands)

    Borries, A.K.L. von; Verkes, R.J.; Bulten, B.H.; Cools, R.

    2013-01-01

    Optimal behavior depends on the ability to assess the predictive value of events and to adjust behavior accordingly. Outcome processing can be studied by using its electrophysiological signatures--that is, the feedback-related negativity (FRN) and the P300. A prominent reinforcement-learning model

  14. Active Learning Innovations in Knowledge Management Education Generate Higher Quality Learning Outcomes

    Directory of Open Access Journals (Sweden)

    Arthur Shelley

    2014-01-01

    Full Text Available Innovations in how a postgraduate course in knowledge management is delivered have generated better learning outcomes and made the course more engaging for learners. Course participant feedback has shown that collaborative active learning is preferred and provides them with richer insights into how knowledge is created and applied to generate innovation and value. The course applies an andragogy approach in which students collaborate in weekly dialogue of their experiences of the content, rather than learn the content itself. The approach combines systems thinking, learning praxis, and active learning to explore the interdependencies between topics and how they impact outcomes in real world situations. This has stimulated students to apply these ideas in their own workplaces.

  15. The Influence Of Learning Model Guided Findings Of Student Learning Outcomes

    Directory of Open Access Journals (Sweden)

    A. SaefulBahri

    2015-03-01

    Full Text Available Abstract This study examines the influence of the learning model guided findings on student learning outcomes in subjects PAI eighth grade students of SMP Plus al Masoem. The research method used in this study is a quantitative method in the form of quasi-experiment Quasi-Experimental Design. The findings of the study are expected to demonstrate 1 the difference significant increase in learning outcomes between the experimental class using guided discovery method that uses the control class discussion of learning models 2 Constraints in the method of guided discovery activities and the limited ability of educators in the experimental class in implements the method of guided discovery and constraints faced by students while digging the information they need so we need special strategies to motivate students in the experimental class in order for them creatively find the right way to gather information that supports learning PAI.

  16. Prediction of insemination outcomes in Holstein dairy cattle using alternative machine learning algorithms.

    Science.gov (United States)

    Shahinfar, Saleh; Page, David; Guenther, Jerry; Cabrera, Victor; Fricke, Paul; Weigel, Kent

    2014-02-01

    When making the decision about whether or not to breed a given cow, knowledge about the expected outcome would have an economic impact on profitability of the breeding program and net income of the farm. The outcome of each breeding can be affected by many management and physiological features that vary between farms and interact with each other. Hence, the ability of machine learning algorithms to accommodate complex relationships in the data and missing values for explanatory variables makes these algorithms well suited for investigation of reproduction performance in dairy cattle. The objective of this study was to develop a user-friendly and intuitive on-farm tool to help farmers make reproduction management decisions. Several different machine learning algorithms were applied to predict the insemination outcomes of individual cows based on phenotypic and genotypic data. Data from 26 dairy farms in the Alta Genetics (Watertown, WI) Advantage Progeny Testing Program were used, representing a 10-yr period from 2000 to 2010. Health, reproduction, and production data were extracted from on-farm dairy management software, and estimated breeding values were downloaded from the US Department of Agriculture Agricultural Research Service Animal Improvement Programs Laboratory (Beltsville, MD) database. The edited data set consisted of 129,245 breeding records from primiparous Holstein cows and 195,128 breeding records from multiparous Holstein cows. Each data point in the final data set included 23 and 25 explanatory variables and 1 binary outcome for of 0.756 ± 0.005 and 0.736 ± 0.005 for primiparous and multiparous cows, respectively. The naïve Bayes algorithm, Bayesian network, and decision tree algorithms showed somewhat poorer classification performance. An information-based variable selection procedure identified herd average conception rate, incidence of ketosis, number of previous (failed) inseminations, days in milk at breeding, and mastitis as the most

  17. Outcomes-Based Collaborative Teaching and Learning in Asian Higher Education

    Science.gov (United States)

    van Schalkwyk, Gertina J.

    2015-01-01

    This chapter explores the background and development of outcomes-based collaborative teaching and learning, and provides guidance for writing learning outcomes and engaging students in the Asian higher education context.

  18. Learning Robotics in a Science Museum Theatre Play: Investigation of Learning Outcomes, Contexts and Experiences

    Science.gov (United States)

    Peleg, Ran; Baram-Tsabari, Ayelet

    2017-12-01

    Theatre is often introduced into science museums to enhance visitor experience. While learning in museums exhibitions received considerable research attention, learning from museum theatre has not. The goal of this exploratory study was to investigate the potential educational role of a science museum theatre play. The study aimed to investigate (1) cognitive learning outcomes of the play, (2) how these outcomes interact with different viewing contexts and (3) experiential learning outcomes through the theatrical experience. The play `Robot and I', addressing principles in robotics, was commissioned by a science museum. Data consisted of 391 questionnaires and interviews with 47 children and 20 parents. Findings indicate that explicit but not implicit learning goals were decoded successfully. There was little synergy between learning outcomes of the play and an exhibition on robotics, demonstrating the effect of two different physical contexts. Interview data revealed that prior knowledge, experience and interest played a major role in children's understanding of the play. Analysis of the theatrical experience showed that despite strong identification with the child protagonist, children often doubted the protagonist's knowledge jeopardizing integration of scientific content. The study extends the empirical knowledge and theoretical thinking on museum theatre to better support claims of its virtues and respond to their criticism.

  19. Variability in the Initial Costs of Care and One-Year Outcomes of Observation Services

    Directory of Open Access Journals (Sweden)

    Abbass, Ibrahim

    2015-05-01

    Full Text Available Introduction: The use of observation units (OUs following emergency departments (ED visits as a model of care has increased exponentially in the last decade. About one-third of U.S. hospitals now have OUs within their facilities. While their use is associated with lower costs and comparable level of care compared to inpatient units, there is a wide variation in OUs characteristics and operational procedures. The objective of this research was to explore the variability in the initial costs of care of placing patients with non-specific chest pain in observation units (OUs and the one-year outcomes. Methods: The author retrospectively investigated medical insurance claims of 22,962 privately insured patients (2009-2011 admitted to 41 OUs. Outcomes included the one-year chest pain/cardiovascular related costs and primary and secondary outcomes. Primary outcomes included myocardial infarction, congestive heart failure, stroke or cardiac arrest, while secondary outcomes included revascularization procedures, ED revisits for angina pectoris or chest pain and hospitalization due to cardiovascular diseases. The author aggregated the adjusted costs and prevalence rates of outcomes for patients over OUs, and computed the weighted coefficients of variation (WCV to compare variations across OUs. Results: There was minimal variability in the initial costs of care (WCV=2.2%, while the author noticed greater variability in the outcomes. Greater variability were associated with the adjusted cardiovascular-related costs of medical services (WCV=17.6% followed by the adjusted prevalence odds ratio of patients experiencing primary outcomes (WCV=16.3% and secondary outcomes (WCV=10%. Conclusion: Higher variability in the outcomes suggests the need for more standardization of the observation services for chest pain patients. [West J Emerg Med. 2015;16(3:395–400.

  20. Variability in University Students' Use of Technology: An "Approaches to Learning" Perspective

    Science.gov (United States)

    Mimirinis, Mike

    2016-01-01

    This study reports the results of a cross-case study analysis of how students' approaches to learning are demonstrated in blended learning environments. It was initially propositioned that approaches to learning as key determinants of the quality of student learning outcomes are demonstrated specifically in how students utilise technology in…

  1. Achievement of learning outcome after implemented physical modules based on problem based learning

    Science.gov (United States)

    Isna, R.; Masykuri, M.; Sukarmin

    2018-03-01

    Implementation of Problem BasedLearning (PBL) modules can grow the students' thinking skills to solve the problems in daily life and equip the students into higher education levels. The purpose of this research is to know the achievement of learning outcome after implementation physics module based on PBL in Newton,s Law of Gravity. This research method use the experimental method with posttest only group design. To know the achievement of student learning outcomes was analyzed using t test through application of SPSS 18. Based on research result, it is found that the average of student learning outcomes after appliying physics module based on PBL has reached the minimal exhaustiveness criteria. In addition, students' scientific attitudes also improved at each meeting. Presentation activities which contained at learning sync are also able to practice speaking skills and broaden their knowledge. Looking at some shortcomings during the study, it is suggested the issues raised into learning should be a problem close to the life of students so that, the students are more active and enthusiastic in following the learning of physics.

  2. The Effect of Group Investigation Learning Model with Brainstroming Technique on Students Learning Outcomes

    Directory of Open Access Journals (Sweden)

    Astiti Kade kAyu

    2018-01-01

    Full Text Available This study aims to determine the effect of group investigation (GI learning model with brainstorming technique on student physics learning outcomes (PLO compared to jigsaw learning model with brainstroming technique. The learning outcome in this research are the results of learning in the cognitive domain. The method used in this research is experiment with Randomised Postest Only Control Group Design. Population in this research is all students of class XI IPA SMA Negeri 9 Kupang year lesson 2015/2016. The selected sample are 40 students of class XI IPA 1 as the experimental class and 38 students of class XI IPA 2 as the control class using simple random sampling technique. The instrument used is 13 items description test. The first hypothesis was tested by using two tailed t-test. From that, it is obtained that H0 rejected which means there are differences of students physics learning outcome. The second hypothesis was tested using one tailed t-test. It is obtained that H0 rejected which means the students PLO in experiment class were higher than control class. Based on the results of this study, researchers recommend the use of GI learning models with brainstorming techniques to improve PLO, especially in the cognitive domain.

  3. Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery.

    Directory of Open Access Journals (Sweden)

    Rubén Armañanzas

    Full Text Available Epilepsy surgery is effective in reducing both the number and frequency of seizures, particularly in temporal lobe epilepsy (TLE. Nevertheless, a significant proportion of these patients continue suffering seizures after surgery. Here we used a machine learning approach to predict the outcome of epilepsy surgery based on supervised classification data mining taking into account not only the common clinical variables, but also pathological and neuropsychological evaluations. We have generated models capable of predicting whether a patient with TLE secondary to hippocampal sclerosis will fully recover from epilepsy or not. The machine learning analysis revealed that outcome could be predicted with an estimated accuracy of almost 90% using some clinical and neuropsychological features. Importantly, not all the features were needed to perform the prediction; some of them proved to be irrelevant to the prognosis. Personality style was found to be one of the key features to predict the outcome. Although we examined relatively few cases, findings were verified across all data, showing that the machine learning approach described in the present study may be a powerful method. Since neuropsychological assessment of epileptic patients is a standard protocol in the pre-surgical evaluation, we propose to include these specific psychological tests and machine learning tools to improve the selection of candidates for epilepsy surgery.

  4. THE EFFECT OF LEARNING INQUIRY TRAINING MODEL ON STUDENT LEARNING OUTCOMES ON MEASUREMENT MATERIALS

    Directory of Open Access Journals (Sweden)

    Felisa Irawani Hutabarat

    2017-06-01

    Full Text Available This research aims to know the effect of learning model of inquiry learning results students training material measurement. This type of research is quasi experiment. Sampling done by cluster random sampling by taking 2 classes from grade 9 i.e. class X SCIENCE experiments as a class-B that add up to 35 people and class X SCIENCE-C as control classes that add up to 35 people. The instruments used to find out the results of student learning is the learning outcomes tests have been validated in multiple choice form numbered 15 reserved and activity sheets students. The results of the value obtained 37.71 pretes and postest 70.11. The t-test analysis retrieved thitung greater than ttabel so that it can be concluded no difference due to the influence of the learning model of inquiry learning results students training material measurement.

  5. High variability impairs motor learning regardless of whether it affects task performance.

    Science.gov (United States)

    Cardis, Marco; Casadio, Maura; Ranganathan, Rajiv

    2018-01-01

    Motor variability plays an important role in motor learning, although the exact mechanisms of how variability affects learning are not well understood. Recent evidence suggests that motor variability may have different effects on learning in redundant tasks, depending on whether it is present in the task space (where it affects task performance) or in the null space (where it has no effect on task performance). We examined the effect of directly introducing null and task space variability using a manipulandum during the learning of a motor task. Participants learned a bimanual shuffleboard task for 2 days, where their goal was to slide a virtual puck as close as possible toward a target. Critically, the distance traveled by the puck was determined by the sum of the left- and right-hand velocities, which meant that there was redundancy in the task. Participants were divided into five groups, based on both the dimension in which the variability was introduced and the amount of variability that was introduced during training. Results showed that although all groups were able to reduce error with practice, learning was affected more by the amount of variability introduced rather than the dimension in which variability was introduced. Specifically, groups with higher movement variability during practice showed larger errors at the end of practice compared with groups that had low variability during learning. These results suggest that although introducing variability can increase exploration of new solutions, this may adversely affect the ability to retain the learned solution. NEW & NOTEWORTHY We examined the role of introducing variability during motor learning in a redundant task. The presence of redundancy allows variability to be introduced in different dimensions: the task space (where it affects task performance) or the null space (where it does not affect task performance). We found that introducing variability affected learning adversely, but the amount of

  6. Training with Differential Outcomes Enhances Discriminative Learning and Visuospatial Recognition Memory in Children Born Prematurely

    Science.gov (United States)

    Martinez, Lourdes; Mari-Beffa, Paloma; Roldan-Tapia, Dolores; Ramos-Lizana, Julio; Fuentes, Luis J.; Estevez, Angeles F.

    2012-01-01

    Previous studies have demonstrated that discriminative learning is facilitated when a particular outcome is associated with each relation to be learned. When this training procedure is applied (the differential outcome procedure; DOP), learning is faster and more accurate than when the more common non-differential outcome procedure is used. This…

  7. Using Cross-Cultural Dimensions Exercises to Improve and Measure Learning Outcomes in International Business Courses

    Science.gov (United States)

    Zainuba, Mohamed; Rahal, Ahmad

    2012-01-01

    This article proposes an approach for using cross-cultural dimensions exercises to improve and measure learning outcomes in international business courses. The following key issues are highlighted: (a) what are the targeted learning outcomes to be assessed, (b) how to measure the accomplishment of these learning outcomes, (c) the input measures…

  8. Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy.

    Directory of Open Access Journals (Sweden)

    Hamed Asadi

    Full Text Available INTRODUCTION: Stroke is a major cause of death and disability. Accurately predicting stroke outcome from a set of predictive variables may identify high-risk patients and guide treatment approaches, leading to decreased morbidity. Logistic regression models allow for the identification and validation of predictive variables. However, advanced machine learning algorithms offer an alternative, in particular, for large-scale multi-institutional data, with the advantage of easily incorporating newly available data to improve prediction performance. Our aim was to design and compare different machine learning methods, capable of predicting the outcome of endovascular intervention in acute anterior circulation ischaemic stroke. METHOD: We conducted a retrospective study of a prospectively collected database of acute ischaemic stroke treated by endovascular intervention. Using SPSS®, MATLAB®, and Rapidminer®, classical statistics as well as artificial neural network and support vector algorithms were applied to design a supervised machine capable of classifying these predictors into potential good and poor outcomes. These algorithms were trained, validated and tested using randomly divided data. RESULTS: We included 107 consecutive acute anterior circulation ischaemic stroke patients treated by endovascular technique. Sixty-six were male and the mean age of 65.3. All the available demographic, procedural and clinical factors were included into the models. The final confusion matrix of the neural network, demonstrated an overall congruency of ∼ 80% between the target and output classes, with favourable receiving operative characteristics. However, after optimisation, the support vector machine had a relatively better performance, with a root mean squared error of 2.064 (SD: ± 0.408. DISCUSSION: We showed promising accuracy of outcome prediction, using supervised machine learning algorithms, with potential for incorporation of larger multicenter

  9. Investigating students' perceptions of graduate learning outcomes in mathematics

    Science.gov (United States)

    King, Deborah; Varsavsky, Cristina; Belward, Shaun; Matthews, Kelly

    2017-11-01

    The purpose of this study is to explore the perceptions mathematics students have of the knowledge and skills they develop throughout their programme of study. It addresses current concerns about the employability of mathematics graduates by contributing much needed insight into how degree programmes are developing broader learning outcomes for students majoring in mathematics. Specifically, the study asked students who were close to completing a mathematics major (n = 144) to indicate the extent to which opportunities to develop mathematical knowledge along with more transferable skills (communication to experts and non-experts, writing, working in teams and thinking ethically) were included and assessed in their major. Their perceptions were compared to the importance they assign to each of these outcomes, their own assessment of improvement during the programme and their confidence in applying these outcomes. Overall, the findings reveal a pattern of high levels of students' agreement that these outcomes are important, but evidence a startling gap when compared to students' perceptions of the extent to which many of these - communication, writing, teamwork and ethical thinking - are actually included and assessed in the curriculum, and their confidence in using such learning.

  10. Learning outcomes through the cooperative learning team assisted individualization on research methodology’ course

    Science.gov (United States)

    Pakpahan, N. F. D. B.

    2018-01-01

    All articles must contain an abstract. The research methodology is a subject in which the materials must be understood by the students who will take the thesis. Implementation of learning should create the conditions for active learning, interactive and effective are called Team Assisted Individualization (TAI) cooperative learning. The purpose of this study: 1) improving student learning outcomes at the course research methodology on TAI cooperative learning. 2) improvement of teaching activities. 3) improvement of learning activities. This study is a classroom action research conducted at the Department of Civil Engineering Universitas Negeri Surabaya. The research subjects were 30 students and lecturer of courses. Student results are complete in the first cycle by 20 students (67%) and did not complete 10 students (33%). In the second cycle students who complete being 26 students (87%) and did not complete 4 students (13%). There is an increase in learning outcomes by 20%. Results of teaching activities in the first cycle obtained the value of 3.15 with the criteria enough well. In the second cycle obtained the value of 4.22 with good criterion. The results of learning activities in the first cycle obtained the value of 3.05 with enough criterion. In the second cycle was obtained 3.95 with good criterion.

  11. Forum: Learning Outcomes in Communication. Assessment and NCA's Student Learning Outcomes

    Science.gov (United States)

    Mello, Brad; Brammer, Leila R.; White, Cindy; Hernandez, Trisha; Bach, Betsy

    2016-01-01

    Among faculty, assessment is frequently discussed as an added burden that does little to improve student learning, existing to appease administrators and accreditors. In fact, at one of the author's institutions, a faculty listserv post argued that assessment was a corporate and political move to standardize all education and destroy faculty…

  12. Strategies for Assessing Learning Outcomes in an Online Oceanography Course

    Science.gov (United States)

    Reed, D. L.

    2003-12-01

    All general education courses at the San Jose State University, including those in the sciences, must present a detailed assessment plan of student learning, prior to certification for offering. The assessment plan must state a clear methodology for acquiring data on student achievement of the learning outcomes for the specific course category, as well as demonstrate how students fulfill a strong writing requirement. For example, an online course in oceanography falls into the Area R category, the Earth and Environment, through which a student should be able to demonstrate an understanding of the methods and limits of scientific investigation; distinguish science from pseudo-science; and apply a scientific approach to answer questions about the Earth and environment. The desired learning outcomes are shared with students at the beginning of the course and subsequent assessments on achieving each outcome are embedded in the graded assignments, which include a critical thinking essay, mid-term exam, poster presentation in a symposium-style format, portfolio of web-based work, weekly discussions on an electronic bulletin board, and a take-home final exam, consisting of an original research grant proposal. The diverse nature of the graded assignments assures a comprehensive assessment of student learning from a variety of perspectives, such as quantitative, qualitative, and analytical. Formative assessment is also leveraged into learning opportunities, which students use to identify the acquisition of knowledge. For example, pre-tests are used to highlight preconceptions at the beginning of specific field studies and post-testing encourages students to present the results of small research projects. On a broader scale, the assessment results contradict common misperceptions of online and hybrid courses. Student demand for online courses is very high due to the self-paced nature of learning. Rates of enrollment attrition match those of classroom sections, if students

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

    Science.gov (United States)

    Hsieh, Tzu-Ling

    2014-01-01

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

  14. Glucose variability negatively impacts long-term functional outcome in patients with traumatic brain injury.

    Science.gov (United States)

    Matsushima, Kazuhide; Peng, Monica; Velasco, Carlos; Schaefer, Eric; Diaz-Arrastia, Ramon; Frankel, Heidi

    2012-04-01

    Significant glycemic excursions (so-called glucose variability) affect the outcome of generic critically ill patients but has not been well studied in patients with traumatic brain injury (TBI). The purpose of this study was to evaluate the impact of glucose variability on long-term functional outcome of patients with TBI. A noncomputerized tight glucose control protocol was used in our intensivist model surgical intensive care unit. The relationship between the glucose variability and long-term (a median of 6 months after injury) functional outcome defined by extended Glasgow Outcome Scale (GOSE) was analyzed using ordinal logistic regression models. Glucose variability was defined by SD and percentage of excursion (POE) from the preset range glucose level. A total of 109 patients with TBI under tight glucose control had long-term GOSE evaluated. In univariable analysis, there was a significant association between lower GOSE score and higher mean glucose, higher SD, POE more than 60, POE 80 to 150, and single episode of glucose less than 60 mg/dL but not POE 80 to 110. After adjusting for possible confounding variables in multivariable ordinal logistic regression models, higher SD, POE more than 60, POE 80 to 150, and single episode of glucose less than 60 mg/dL were significantly associated with lower GOSE score. Glucose variability was significantly associated with poorer long-term functional outcome in patients with TBI as measured by the GOSE score. Well-designed protocols to minimize glucose variability may be key in improving long-term functional outcome. Copyright © 2012 Elsevier Inc. All rights reserved.

  15. Learning Path Recommendation Based on Modified Variable Length Genetic Algorithm

    Science.gov (United States)

    Dwivedi, Pragya; Kant, Vibhor; Bharadwaj, Kamal K.

    2018-01-01

    With the rapid advancement of information and communication technologies, e-learning has gained a considerable attention in recent years. Many researchers have attempted to develop various e-learning systems with personalized learning mechanisms for assisting learners so that they can learn more efficiently. In this context, curriculum sequencing…

  16. A Comparison of Learning Outcomes in Cognitive Behavioural Therapy and Existential Therapy

    DEFF Research Database (Denmark)

    Sørensen, Anders Dræby

    of the outcome of psychotherapy through qualitative research. The precise aim is to draw attention to the special characteristics of this outcome in terms of learning outcome. This regards both existential therapy and cognitive behavioural therapy and to clarify the possible differences and similarities between...... the lived experience of the learning outcomes of these approaches. The study also clarifies the differences between existential psychotherapy as an art of learning directed at existential learning of authenticity and cognitive- behavioural therapy as a learning-based medical treatment technology directed...... at behavioural and cognitive learning of adaptive and functional responses that alleviates pathological symptoms....

  17. Some Cognitive Variables in Meaningful Learning of the Physics Concepts of Work and Energy: A Study of Ausubelian Learning Model.

    Science.gov (United States)

    Talisayon, Vivien Millan

    This study is an empirical investigation of Ausubel's paradigm of meaningful learning, applied specifically to the learning of high school physics students. In the first phase of the study path analysis and multiple regression techniques were used to describe the Ausubelian learning variables: available relevant ideas in learner's cognitive…

  18. THE INTENTIONAL USE OF LEARNING TECHNOLOGIES TO IMPROVE LEARNING OUTCOMES IN STUDIO.

    Directory of Open Access Journals (Sweden)

    Andrew MacKenzie

    2017-01-01

    Full Text Available At the University of Canberra, Australia, the design and architecture faculty are trialling a range of approaches to incorporating learning technologies in the first year foundation studio to improve student learning outcomes. For this study researchers collected information on students’ access to their assignment information and feedback from the learning management system (LMS to discover how the students engaged in the design process. The studio curriculum was designed to encourage students to engage in a convergence, divergence dynamic (Brown, 2009; Thomas, Billsberry, Ambrosini, & Barton, 2014 in developing their own understanding of the design process. The staff tailored around points of convergence, online instruction, assessment tools and feedback in studio. We argue that using learning technologies in this way can improve intentionality at the beginning of semester, enhance students understanding of feedback and facilitate a more iterative approach to problem based learning in studio practice.

  19. Guided Inquiry Facilitated Blended Learning to Improve Metacognitive and Learning Outcome of High School Students

    Science.gov (United States)

    Suwono, H.; Susanti, S.; Lestari, U.

    2017-04-01

    The learning activities that involve the students to learn actively is one of the characteristics of a qualified education. The learning strategy that involves students’ active learning is guided inquiry. Learning problems today are growing metacognitive skills and cognitive learning outcomes. It is the research and development of learning module by using 4D models of Thiagarajan. The first phase is Define, which analyses the problems and needs required by the prior preparation of the module. The second phase is Design, which formulates learning design and devices to obtain the initial draft of learning modules. The third stage is Develop, which is developing and writing module, module validation, product testing, revision, and the resulting an end-product results module development. The fourth stage is Disseminate, which is disseminating of the valid products. Modules were validated by education experts, practitioners, subject matter experts, and expert of online media. The results of the validation module indicated that the module was valid and could be used in teaching and learning. In the validation phase of testing methods, we used experiments to know the difference of metacognitive skills and learning outcomes between the control group and experimental group. The experimental design was a one group pretest-posttest design. The results of the data analysis showed that the modules could enhance metacognitive skills and learning outcomes. The advantages of this module is as follows, 1) module is accompanied by a video link on a website that contains practical activities that are appropriate to Curriculum 2013, 2) module is accompanied by a video link on a website that contains about manual laboratory activities that will be used in the classroom face-to-face, so that students are ready when doing laboratory activities, 3) this module can be online through chat to increase students’ understanding. The disadvantages of this module are the material presented in

  20. 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…

  1. A hypothesis on improving foreign accents by optimizing variability in vocal learning brain circuits

    OpenAIRE

    Simmonds, Anna J.

    2015-01-01

    Rapid vocal motor learning is observed when acquiring a language in early childhood, or learning to speak another language later in life. Accurate pronunciation is one of the hardest things for late learners to master and they are almost always left with a non-native accent. Here, I propose a novel hypothesis that this accent could be improved by optimizing variability in vocal learning brain circuits during learning. Much of the neurobiology of human vocal motor learning has been inferred fr...

  2. The impact of computer-based versus "traditional" textbook science instruction on selected student learning outcomes

    Science.gov (United States)

    Rothman, Alan H.

    This study reports the results of research designed to examine the impact of computer-based science instruction on elementary school level students' science content achievement, their attitude about science learning, their level of critical thinking-inquiry skills, and their level of cognitive and English language development. The study compared these learning outcomes resulting from a computer-based approach compared to the learning outcomes from a traditional, textbook-based approach to science instruction. The computer-based approach was inherent in a curriculum titled The Voyage of the Mimi , published by The Bank Street College Project in Science and Mathematics (1984). The study sample included 209 fifth-grade students enrolled in three schools in a suburban school district. This sample was divided into three groups, each receiving one of the following instructional treatments: (a) Mixed-instruction primarily based on the use of a hardcopy textbook in conjunction with computer-based instructional materials as one component of the science course; (b) Non-Traditional, Technology-Based -instruction fully utilizing computer-based material; and (c) Traditional, Textbook-Based-instruction utilizing only the textbook as the basis for instruction. Pre-test, or pre-treatment, data related to each of the student learning outcomes was collected at the beginning of the school year and post-test data was collected at the end of the school year. Statistical analyses of pre-test data were used as a covariate to account for possible pre-existing differences with regard to the variables examined among the three student groups. This study concluded that non-traditional, computer-based instruction in science significantly improved students' attitudes toward science learning and their level of English language development. Non-significant, positive trends were found for the following student learning outcomes: overall science achievement and development of critical thinking

  3. Measuring Learning Outcomes. A Learner Perspective in Auditing Education

    DEFF Research Database (Denmark)

    Holm, Claus; Steenholdt, Niels

    The ability to provide sensible measures for learning outcomes in accounting education is under increased scrutiny. In this paper we use a learner perspective in auditing education which reflects that some students taking accounting classes also are provided with on-the-job training in accounting...... is part of every day life within most accounting firms. Developing a sound on-the-job training environment is pivotal in the recruitment and design of supervision, and in the end for the expected "successrate" in retaining (valuable) employees. Prior research suggests that scripts or schemas provide...

  4. The Effects of Job Autonomy on Work Outcomes: Self Efficacy as an Intervening Variable

    OpenAIRE

    Susanti Saragih

    2011-01-01

    The purpose of this research was to examine the relationship between job autonomy and work outcomes (job performance, job satisfaction and job stress), self efficacy as a mediating variable. This research also investigated the impact of job satisfaction on job performance and job stress on job performance. Va-riables in this research were measured via a survey of 190 banking salespersons in D.I. Yogyakarta and Solo. Structural Equation Modeling (SEM) were used to examine the effects of job au...

  5. Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review.

    Science.gov (United States)

    Senders, Joeky T; Staples, Patrick C; Karhade, Aditya V; Zaki, Mark M; Gormley, William B; Broekman, Marike L D; Smith, Timothy R; Arnaout, Omar

    2018-01-01

    Accurate measurement of surgical outcomes is highly desirable to optimize surgical decision-making. An important element of surgical decision making is identification of the patient cohort that will benefit from surgery before the intervention. Machine learning (ML) enables computers to learn from previous data to make accurate predictions on new data. In this systematic review, we evaluate the potential of ML for neurosurgical outcome prediction. A systematic search in the PubMed and Embase databases was performed to identify all potential relevant studies up to January 1, 2017. Thirty studies were identified that evaluated ML algorithms used as prediction models for survival, recurrence, symptom improvement, and adverse events in patients undergoing surgery for epilepsy, brain tumor, spinal lesions, neurovascular disease, movement disorders, traumatic brain injury, and hydrocephalus. Depending on the specific prediction task evaluated and the type of input features included, ML models predicted outcomes after neurosurgery with a median accuracy and area under the receiver operating curve of 94.5% and 0.83, respectively. Compared with logistic regression, ML models performed significantly better and showed a median absolute improvement in accuracy and area under the receiver operating curve of 15% and 0.06, respectively. Some studies also demonstrated a better performance in ML models compared with established prognostic indices and clinical experts. In the research setting, ML has been studied extensively, demonstrating an excellent performance in outcome prediction for a wide range of neurosurgical conditions. However, future studies should investigate how ML can be implemented as a practical tool supporting neurosurgical care. Copyright © 2017 Elsevier Inc. All rights reserved.

  6. The scientific learning approach using multimedia-based maze game to improve learning outcomes

    Science.gov (United States)

    Setiawan, Wawan; Hafitriani, Sarah; Prabawa, Harsa Wara

    2016-02-01

    The objective of curriculum 2013 is to improve the quality of education in Indonesia, which leads to improving the quality of learning. The scientific approach and supported empowerment media is one approach as massaged of curriculum 2013. This research aims to design a labyrinth game based multimedia and apply in the scientific learning approach. This study was conducted in one of the Vocational School in Subjects of Computer Network on 2 (two) classes of experimental and control. The method used Mix Method Research (MMR) which combines qualitative in multimedia design, and quantitative in the study of learning impact. The results of a survey showed that the general of vocational students like of network topology material (68%), like multimedia (74%), and in particular, like interactive multimedia games and flash (84%). Multimediabased maze game developed good eligibility based on media and material aspects of each value 840% and 82%. Student learning outcomes as a result of using a scientific approach to learning with a multimediabased labyrinth game increase with an average of gain index about (58%) and higher than conventional multimedia with index average gain of 0.41 (41%). Based on these results the scientific approach to learning by using multimediabased labyrinth game can improve the quality of learning and increase understanding of students. Multimedia of learning based labyrinth game, which developed, got a positive response from the students with a good qualification level (75%).

  7. Variable reporting of functional outcomes and return to play in superior labrum anterior and posterior tear.

    Science.gov (United States)

    Steinhaus, Michael E; Makhni, Eric C; Lieber, Adam C; Kahlenberg, Cynthia A; Gulotta, Lawrence V; Romeo, Anthony A; Verma, Nikhil N

    2016-11-01

    Outcomes assessments after superior labrum anterior and posterior (SLAP) tear/repair are highly varied, making it difficult to draw comparisons across the literature. This study examined the inconsistency in outcomes reporting in the SLAP tear literature. We hypothesize that there is significant variability in outcomes reporting and that although most studies may report return to play, time to return reporting will be highly variable. The PubMed, Medline, Scopus, and Embase databases were systematically reviewed for studies from January 2000 to December 2014 reporting outcomes after SLAP tear/repair. Two reviewers assessed each study, and those meeting inclusion criteria were examined for pertinent data. Outcomes included objective (range of motion, strength, clinical examinations, and imaging) and subjective (patient-reported outcomes, satisfaction, activities of daily living, and return to play) measures. Of the 56 included studies, 43% documented range of motion, 14% reported strength, and 16% noted postoperative imaging. There was significant variation in use of patient-reported outcomes measures, with the 3 most commonly noted measures reported in 20% to 55% of studies. Return to play was noted in 75% of studies, and 23% reported time to return, with greater rates in elite athletes. Eleven studies (20%) did not report follow-up or noted data with <12 months of follow-up. The SLAP literature is characterized by substantial variability in outcomes reporting, with time to return to play noted in few studies. Efforts to standardize outcomes reporting would facilitate comparisons across the literature and improve our understanding of the prognosis of this injury. Copyright © 2016 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.

  8. Individual and Contextual Variables in Municipal Officers' Workplace Learning

    Science.gov (United States)

    Moraes, Valéria Vieira; Borges-Andrade, Jairo Eduardo

    2015-01-01

    Purpose: The purpose of this paper is to investigate workplace learning among municipal officers in the high-learning-demanding organizational context of their work practice in the first year of mandate. Design/methodology/approach: A before-and-after quasi-experimental design was used to assess the effect of time of work practice on learning work…

  9. Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory.

    Science.gov (United States)

    Kruppa, Jochen; Liu, Yufeng; Biau, Gérard; Kohler, Michael; König, Inke R; Malley, James D; Ziegler, Andreas

    2014-07-01

    Probability estimation for binary and multicategory outcome using logistic and multinomial logistic regression has a long-standing tradition in biostatistics. However, biases may occur if the model is misspecified. In contrast, outcome probabilities for individuals can be estimated consistently with machine learning approaches, including k-nearest neighbors (k-NN), bagged nearest neighbors (b-NN), random forests (RF), and support vector machines (SVM). Because machine learning methods are rarely used by applied biostatisticians, the primary goal of this paper is to explain the concept of probability estimation with these methods and to summarize recent theoretical findings. Probability estimation in k-NN, b-NN, and RF can be embedded into the class of nonparametric regression learning machines; therefore, we start with the construction of nonparametric regression estimates and review results on consistency and rates of convergence. In SVMs, outcome probabilities for individuals are estimated consistently by repeatedly solving classification problems. For SVMs we review classification problem and then dichotomous probability estimation. Next we extend the algorithms for estimating probabilities using k-NN, b-NN, and RF to multicategory outcomes and discuss approaches for the multicategory probability estimation problem using SVM. In simulation studies for dichotomous and multicategory dependent variables we demonstrate the general validity of the machine learning methods and compare it with logistic regression. However, each method fails in at least one simulation scenario. We conclude with a discussion of the failures and give recommendations for selecting and tuning the methods. Applications to real data and example code are provided in a companion article (doi:10.1002/bimj.201300077). © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  10. Psychological and Organizational Variables Associated with Workplace Learning in Small and Medium Manufacturing Businesses in Korea

    Science.gov (United States)

    Moon, Se-Yeon; Na, Seung-Il

    2009-01-01

    The purpose of this study was to determine the relationship between workplace learning and psychological variables, such as learning competency, motivation, curiosity, self-esteem and locus of control, and organizational variables, such as centralization of power, formality, merit system and communication. The studied population consisted entirely…

  11. High Variability in Outcome Reporting Patterns in High-Impact ACL Literature.

    Science.gov (United States)

    Makhni, Eric C; Padaki, Ajay S; Petridis, Petros D; Steinhaus, Michael E; Ahmad, Christopher S; Cole, Brian J; Bach, Bernard R

    2015-09-16

    ACL (anterior cruciate ligament) reconstruction is one of the most commonly performed and studied procedures in modern sports medicine. A multitude of objective and subjective patient outcome measures exists; however, nonstandardized reporting patterns of these metrics may create challenges in objectively analyzing pooled results from different studies. The goal of this study was to document the variability in outcome reporting patterns in high-impact orthopaedic studies of ACL reconstruction. All clinical studies pertaining to ACL reconstruction in four high-impact-factor orthopaedic journals over a five-year period were reviewed. Biomechanical, basic science, and imaging studies were excluded, as were studies with fewer than fifty patients, yielding 119 studies for review. Incorporation of various objective and subjective outcomes was noted for each study. Substantial variability in reporting of both objective and subjective measures was noted in the study cohort. Although a majority of studies reported instrumented laxity findings, there was substantial variability in the type and method of laxity reporting. Most other objective outcomes, including range of motion, strength, and complications, were reported in <50% of all studies. Return to pre-injury level of activity was infrequently reported (24% of studies), as were patient satisfaction and pain assessment following surgery (8% and 13%, respectively). Of the patient-reported outcomes, the International Knee Documentation Committee (IKDC), Lysholm, and Tegner scores were most often reported (71%, 63%, and 42%, respectively). Substantial variability in outcome reporting patterns exists among high-impact studies of ACL reconstruction. Such variability may create challenges in interpreting results and pooling them across different studies. Copyright © 2015 by The Journal of Bone and Joint Surgery, Incorporated.

  12. The Interaction Effects of Program Training, Dosage, and Implementation Quality on Targeted Student Outcomes for The RULER Approach to Social and Emotional Learning

    Science.gov (United States)

    Reyes, Maria Regina; Brackett, Marc A.; Rivers, Susan E.; Elbertson, Nicole A.; Salovey, Peter

    2012-01-01

    This study examined how training, dosage, and implementation quality of a social and emotional learning program, The RULER Approach, were related to students' social and emotional competencies. There were no main effects for any of the variables on student outcomes, but students had more positive outcomes when their teachers (a) attended more…

  13. Effects of visual feedback-induced variability on motor learning of handrim wheelchair propulsion.

    Science.gov (United States)

    Leving, Marika T; Vegter, Riemer J K; Hartog, Johanneke; Lamoth, Claudine J C; de Groot, Sonja; van der Woude, Lucas H V

    2015-01-01

    It has been suggested that a higher intra-individual variability benefits the motor learning of wheelchair propulsion. The present study evaluated whether feedback-induced variability on wheelchair propulsion technique variables would also enhance the motor learning process. Learning was operationalized as an improvement in mechanical efficiency and propulsion technique, which are thought to be closely related during the learning process. 17 Participants received visual feedback-based practice (feedback group) and 15 participants received regular practice (natural learning group). Both groups received equal practice dose of 80 min, over 3 weeks, at 0.24 W/kg at a treadmill speed of 1.11 m/s. To compare both groups the pre- and post-test were performed without feedback. The feedback group received real-time visual feedback on seven propulsion variables with instruction to manipulate the presented variable to achieve the highest possible variability (1st 4-min block) and optimize it in the prescribed direction (2nd 4-min block). To increase motor exploration the participants were unaware of the exact variable they received feedback on. Energy consumption and the propulsion technique variables with their respective coefficient of variation were calculated to evaluate the amount of intra-individual variability. The feedback group, which practiced with higher intra-individual variability, improved the propulsion technique between pre- and post-test to the same extent as the natural learning group. Mechanical efficiency improved between pre- and post-test in the natural learning group but remained unchanged in the feedback group. These results suggest that feedback-induced variability inhibited the improvement in mechanical efficiency. Moreover, since both groups improved propulsion technique but only the natural learning group improved mechanical efficiency, it can be concluded that the improvement in mechanical efficiency and propulsion technique do not always appear

  14. The Influence of Learning Management Technology to Student’s Learning Outcome

    Directory of Open Access Journals (Sweden)

    Taufiq Lilo Adi Sucipto

    2017-02-01

    Full Text Available The study examines the influence of learning management systems to the implementation of flipped classroom model in a vocational school in Indonesia. The flipped classroom is a relatively new educational model that inverts students’ time to study on lectures and time spent on homework. Despite studies have been conducted on the model, few addressed the impact of the use of a learning management system to the performance of students involved in such learning model particularly within Indonesian educational systems context. A quasi-experiment approach was applied to an experiment class and another control class. Upon the analysis, the results emphasized previously held research outcomes. The use of Edmodo learning management systems enhances students’ performance in the experiment class, relative to those of the control class.     Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 4.0 International License.

  15. A Blended Learning Solution and the Impacts on Attendance and Learning Outcomes

    Directory of Open Access Journals (Sweden)

    Ismo Hakala

    2011-05-01

    Full Text Available Blended learning based on lecture videos and face-to-face teaching provides good opportunities for students for participation in education, regardless of time or place. The article describes a blended learning solution that is based on face-to-face teaching and the use of streaming lecture videos as it has developed in connection with master studies in mathematical information technology. The particular focus of this article is on the use of lecture videos and the impacts of blended learning on participation in education and on learning outcomes. According to the results, lecture videos have become very popular among students. Moreover the use of lecture videos increases participation activeness, and the increase in participation has a positive impact on completion of courses. However, the use of lecture videos does not seem to have any clear-cut effect on grades obtained.

  16. The Relation between Virtual Presence and Learning Outcomes in Serious Games – The Mediating Effect of Motivation

    Directory of Open Access Journals (Sweden)

    Claudia Schrader

    2014-02-01

    Full Text Available Does the immersive design of a serious game affect learners’ virtual presence? Does virtual presence improve learning? By identifying virtual presence as a variable that may determine learning outcomes, it is argued that computer gaming environments present a new challenge for researchers to investigate. Particularly, the effect of games on virtual presence might help designers to predict which instructional configurations will maximize learning performance. Results indicate that the serious game used as an example in this study leads to a strong form of virtual presence. Virtual presence enhanced retention and comprehension but not transfer. It also significantly increased learners’ motivation. Mediation analyses report that the positive relation between virtual presence, retention and comprehension is mediated through increased motivation. These findings suggest that the relation between all variables should be considered an important factor in the design of virtual worlds for learning.

  17. Learning outcomes between Socioscientific Issues-Based Learning and Conventional Learning Activities

    OpenAIRE

    Piyaluk Wongsri; Prasart Nuangchalerm

    2010-01-01

    Problem statement: Socioscientific issues-based learning activity is essential for scientific reasoning skills and it could be used for analyzing problems be applied to each situation for more successful and suitable. The purposes of this research aimed to compare learning achievement, analytical thinking and moral reasoning of seventh grade students who were organized between socioscientific issues-based learning and conventional learning activities. Approach: The samples used in research we...

  18. Effect of Methods of Learning and Self Regulated Learning toward Outcomes of Learning Social Studies

    Science.gov (United States)

    Tjalla, Awaluddin; Sofiah, Evi

    2015-01-01

    This research aims to reveal the influence of learning methods and self-regulated learning on students learning scores for Social Studies object. The research was done in Islamic Junior High School (MTs Manba'ul Ulum), Batuceper City Tangerang using quasi-experimental method. The research employed simple random technique to 28 students. Data were…

  19. Outcomes of an Academic Service-Learning Project on Four Urban Community Colleges

    Science.gov (United States)

    Greenwood, Debra Abston

    2015-01-01

    Service-learning has a rich history in higher education, with a multitude of studies indicating positive learning, community engagement, and moral development outcomes of student participants. The majority of the research findings, however, have represented four-year colleges. And while there are limited outcome studies of service-learning in…

  20. An Outcome Evaluation of a Problem-Based Learning Approach with MSW Students

    Science.gov (United States)

    Westhues, Anne; Barsen, Chia; Freymond, Nancy; Train, Patricia

    2014-01-01

    In this article, we report the findings from a study exploring the effects of a problem-based learning (PBL) approach to teaching and learning on learning outcomes for master's of social work (MSW) students. Students who participated in a PBL pilot project were compared with students who did not participate in 5 outcome areas: social work…

  1. Education and Health Matters: School Nurse Interventions, Student Outcomes, and School Variables

    Science.gov (United States)

    Wolfe, Linda C.

    2013-01-01

    This paper presents findings from a quantitative, correlational study that examined selected school nursing services, student academic outcomes, and school demographics. Ex post facto data from the 2011-2012 school year of Delaware public schools were used in the research. The selected variables were school nurse interventions provided to students…

  2. The Moderating Role of Power Distance on the Relationship between Employee Participation and Outcome Variables

    Science.gov (United States)

    Rafiei, Sima; Pourreza, Abolghasem

    2013-01-01

    Background: Many organisations have realised the importance of human resource for their competitive advantage. Empowering employees is therefore essential for organisational effectiveness. This study aimed to investigate the relationship between employee participation with outcome variables such as organisational commitment, job satisfaction, perception of justice in an organisation and readiness to accept job responsibilities. It further examined the impact of power distance on the relationship between participation and four outcome variables. Methods: This was a cross sectional study with a descriptive research design conducted among employees and managers of hospitals affiliated with Tehran University of Medical Sciences, Tehran, Iran. A questionnaire as a main procedure to gather data was developed, distributed and collected. Descriptive statistics, Pearson correlation coefficient and moderated multiple regression were used to analyse the study data. Results: Findings of the study showed that the level of power distance perceived by employees had a significant relationship with employee participation, organisational commitment, job satisfaction, perception of justice and readiness to accept job responsibilities. There was also a significant relationship between employee participation and four outcome variables. The moderated multiple regression results supported the hypothesis that power distance had a significant effect on the relationship between employee participation and four outcome variables. Conclusion: Organisations in which employee empowerment is practiced through diverse means such as participating them in decision making related to their field of work, appear to have more committed and satisfied employees with positive perception toward justice in the organisational interactions and readiness to accept job responsibilities. PMID:24596840

  3. The Moderating Role of Power Distance on the Relationship between Employee Participation and Outcome Variables.

    Science.gov (United States)

    Rafiei, Sima; Pourreza, Abolghasem

    2013-06-01

    Many organisations have realised the importance of human resource for their competitive advantage. Empowering employees is therefore essential for organisational effectiveness. This study aimed to investigate the relationship between employee participation with outcome variables such as organisational commitment, job satisfaction, perception of justice in an organisation and readiness to accept job responsibilities. It further examined the impact of power distance on the relationship between participation and four outcome variables. This was a cross sectional study with a descriptive research design conducted among employees and managers of hospitals affiliated with Tehran University of Medical Sciences, Tehran, Iran. A questionnaire as a main procedure to gather data was developed, distributed and collected. Descriptive statistics, Pearson correlation coefficient and moderated multiple regression were used to analyse the study data. Findings of the study showed that the level of power distance perceived by employees had a significant relationship with employee participation, organisational commitment, job satisfaction, perception of justice and readiness to accept job responsibilities. There was also a significant relationship between employee participation and four outcome variables. The moderated multiple regression results supported the hypothesis that power distance had a significant effect on the relationship between employee participation and four outcome variables. Organisations in which employee empowerment is practiced through diverse means such as participating them in decision making related to their field of work, appear to have more committed and satisfied employees with positive perception toward justice in the organisational interactions and readiness to accept job responsibilities.

  4. The Moderating Role of Power Distance on the Relationship between Employee Participation and Outcome Variables

    Directory of Open Access Journals (Sweden)

    Abolghasem Pourreza

    2013-05-01

    Full Text Available Background Many organisations have realised the importance of human resource for their competitive advantage. Empowering employees is therefore essential for organisational effectiveness. This study aimed to investigate the relationship between employee participation with outcome variables such as organisational commitment, job satisfaction, perception of justice in an organisation and readiness to accept job responsibilities. It further examined the impact of power distance on the relationship between participation and four outcome variables. Methods This was a cross sectional study with a descriptive research design conducted among employees and managers of hospitals affiliated with Tehran University of Medical Sciences, Tehran, Iran. A questionnaire as a main procedure to gather data was developed, distributed and collected. Descriptive statistics, Pearson correlation coefficient and moderated multiple regression were used to analyse the study data. Results Findings of the study showed that the level of power distance perceived by employees had a significant relationship with employee participation, organisational commitment, job satisfaction, perception of justice and readiness to accept job responsibilities. There was also a significant relationship between employee participation and four outcome variables. The moderated multiple regression results supported the hypothesis that power distance had a significant effect on the relationship between employee participation and four outcome variables. Conclusion Organisations in which employee empowerment is practiced through diverse means such as participating them in decision making related to their field of work, appear to have more committed and satisfied employees with positive perception toward justice in the organisational interactions and readiness to accept job responsibilities.

  5. Blood Pressure Variability and Outcome in Patients with Acute Nonlobar Intracerebral Hemorrhage following Intensive Antihypertensive Treatment

    Directory of Open Access Journals (Sweden)

    Jin Pyeong Jeon

    2018-01-01

    Conclusions: The MAC of SBP is associated with hematoma growth, and SD and COV are correlated with 3-month poor outcome in patients with supratentorial nonlobar ICH. Therefore, sustained SBP control, with a reduction in SBP variability is essential to reinforce the beneficial effect of intensive antihypertensive treatment.

  6. Students’ attitudes towards learning communication skills : correlating attitudes, demographic and metacognitive variables

    OpenAIRE

    Lumma-Sellenthin, Antje

    2012-01-01

    Objectives: This study aimed at exploring the relationship of students' attitudes towards learning communication skills to demographic variables, metacognitive skills, and to the appreciation of patient-oriented care. Methods: The cross-sectional survey study involved first- and third-term students from two traditional and two problem-based curricula (N= 351). Demographic variables, attitudes towards communication skills learning, patient orientation, and awareness of learning strategies were...

  7. Interpreting Students’ Perceptions in Fluid Mechanics Learning Outcomes

    Directory of Open Access Journals (Sweden)

    Filomena SOARES

    2015-11-01

    Full Text Available The objective of this study is to analyse the impact of introducing a practical work in the learning process of the Fluid Transport Systems course in Chemical Engineering degree. The students, in groups of two or three elements, were free to choose the application case in order to develop the practical work proposed by the responsible teachers. The students selected a centrifugal pump to supply water to houses or buildings and designed the piping system. The practical work was evaluated through the written report. The students’ perceptions were analysed through a questionnaire. The learning outcomes were also considered in order to understand how the fluid mechanics concepts were acquired. In the teachers’ point of view the teamwork should enable the development of students’ soft skills and competencies, promoting the ability to integrate and work in teams. The students changed their learning processing and perception becoming more reflective and less accommodative, forcing them to think critically and share opinions. Regarding the Fluid Mechanics assessment, the practical work increased, in average, the final grade at least one value.

  8. National Curricula in Norway and Finland: The Role of Learning Outcomes

    Science.gov (United States)

    Mølstad, Christina Elde; Karseth, Berit

    2016-01-01

    The core curricular category of "learning outcomes" has entered the educational policy scene in Europe. While content-oriented curricula have dominated the Nordic countries, a shift towards outcomes can also be observed. In this article, we describe the fundamental distinctions between "Didaktik" and learning outcomes and…

  9. Differences between the IPA Learning Outcomes Learning Module Part with Conventional Learning Class IV in SDN Jodipan Malang

    Directory of Open Access Journals (Sweden)

    Helda Kusuma Wardani

    2014-06-01

    Full Text Available Perbedaan Hasil Pembelajaran IPA antara Pembelajaran Modul Bagian dengan Pembelajaran Konvensional Kelas IV SD Abstract: The aim of this study was to test the effectiveness of learning science a significant difference between the learning modules with conventional learning class section IV in SDN Jodipan Malang and describe the realization of the effectiveness and appeal of learning on learning module and conventional learning section. This quasi-experimental research design was used pre- and post-test design or nonequivalent control group. Testing the hypothesis used t test using SPSS. Conclusions from the results of hypothesis testing is no significant difference between the effectiveness of learning modules with conventional learning section on the topic of the relationship between structure and function of plant roots after the implementation of learning. Minimal realization completeness criteria (KKM classroom learning module parts is very high. Scores posttes conventional learning classes showed no achievement of KKM. Realization appeal the high part of the learning modules according to the whole class learning module sample parts, and the appeal of high-graded conventional learning. KKM realization is directly proportional to the realization of part of the appeal of the learning module. Key Words: learning outcomes, the learning module parts, conventional learning Abstrak: Tujuan penelitian ini adalah menguji perbedaan signifikan keefektifan pembelajaran IPA antara pembelajaran modul bagian dengan pembelajaran konvensional kelas IV di SDN Jodipan Kota Malang dan mendeskripsikan realisasi keefektifan serta daya tarik pembelajaran pada pembelajaran modul bagian maupun pembelajaran konvensional. Penelitian eksperimen kuasi ini menggunakan rancangan pre- and post-test design atau nonequivalent control group design. Pengujian hipotesis digunakan uji t menggunakan SPSS. Simpulan dari hasil uji hipotesis adalah ada perbedaan signifikan antara

  10. Cross-trial prediction of treatment outcome in depression: a machine learning approach.

    Science.gov (United States)

    Chekroud, Adam Mourad; Zotti, Ryan Joseph; Shehzad, Zarrar; Gueorguieva, Ralitza; Johnson, Marcia K; Trivedi, Madhukar H; Cannon, Tyrone D; Krystal, John Harrison; Corlett, Philip Robert

    2016-03-01

    Antidepressant treatment efficacy is low, but might be improved by matching patients to interventions. At present, clinicians have no empirically validated mechanisms to assess whether a patient with depression will respond to a specific antidepressant. We aimed to develop an algorithm to assess whether patients will achieve symptomatic remission from a 12-week course of citalopram. We used patient-reported data from patients with depression (n=4041, with 1949 completers) from level 1 of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D; ClinicalTrials.gov, number NCT00021528) to identify variables that were most predictive of treatment outcome, and used these variables to train a machine-learning model to predict clinical remission. We externally validated the model in the escitalopram treatment group (n=151) of an independent clinical trial (Combining Medications to Enhance Depression Outcomes [COMED]; ClinicalTrials.gov, number NCT00590863). We identified 25 variables that were most predictive of treatment outcome from 164 patient-reportable variables, and used these to train the model. The model was internally cross-validated, and predicted outcomes in the STAR*D cohort with accuracy significantly above chance (64·6% [SD 3·2]; p<0·0001). The model was externally validated in the escitalopram treatment group (N=151) of COMED (accuracy 59·6%, p=0.043). The model also performed significantly above chance in a combined escitalopram-buproprion treatment group in COMED (n=134; accuracy 59·7%, p=0·023), but not in a combined venlafaxine-mirtazapine group (n=140; accuracy 51·4%, p=0·53), suggesting specificity of the model to underlying mechanisms. Building statistical models by mining existing clinical trial data can enable prospective identification of patients who are likely to respond to a specific antidepressant. Yale University. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Assessing the Impact of Socioeconomic Variables on Small Area Variations in Suicide Outcomes in England

    Directory of Open Access Journals (Sweden)

    Peter Congdon

    2012-12-01

    Full Text Available Ecological studies of suicide and self-harm have established the importance of area variables (e.g., deprivation, social fragmentation in explaining variations in suicide risk. However, there are likely to be unobserved influences on risk, typically spatially clustered, which can be modeled as random effects. Regression impacts may be biased if no account is taken of spatially structured influences on risk. Furthermore a default assumption of linear effects of area variables may also misstate or understate their impact. This paper considers variations in suicide outcomes for small areas across England, and investigates the impact on them of area socio-economic variables, while also investigating potential nonlinearity in their impact and allowing for spatially clustered unobserved factors. The outcomes are self-harm hospitalisations and suicide mortality over 6,781 Middle Level Super Output Areas.

  12. High glucose variability is associated with poor neurodevelopmental outcomes in neonatal hypoxic ischemic encephalopathy.

    Science.gov (United States)

    Al Shafouri, N; Narvey, M; Srinivasan, G; Vallance, J; Hansen, G

    2015-01-01

    In neonatal hypoxic ischemic encephalopathy (HIE), hypo- and hyperglycemia have been associated with poor outcomes. However, glucose variability has not been reported in this population. To examine the association between serum glucose variability within the first 24 hours and two-year neurodevelopmental outcomes in neonates cooled for HIE. In this retrospective cohort study, glucose, clinical and demographic data were documented from 23 term newborns treated with whole body therapeutic hypothermia. Severe neurodevelopmental outcomes from planned two-year assessments were defined as the presence of any one of the following: Gross Motor Function Classification System levels 3 to 5, Bayley III Motor Standard Score neurodevelopmental outcomes from 8 of 23 patients were considered severe, and this group demonstrated a significant increase of mean absolute glucose (MAG) change (-0.28 to -0.03, 95% CI, p = 0.032). There were no significant differences between outcome groups with regards to number of patients with hyperglycemic means, one or multiple hypo- or hyperglycemic measurement(s). There were also no differences between both groups with mean glucose, although mean glucose standard deviation was approaching significance. Poor neurodevelopmental outcomes in whole body cooled HIE neonates are significantly associated with MAG changes. This information may be relevant for prognostication and potential management strategies.

  13. Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments

    Directory of Open Access Journals (Sweden)

    Hagiwara N

    2017-12-01

    Full Text Available Nobuko Hagiwara Division of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, University of California, Davis, CA, USA Abstract: The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students’ skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students’ competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules’ learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed. Keywords

  14. A hypothesis on improving foreign accents by optimizing variability in vocal learning brain circuits.

    Science.gov (United States)

    Simmonds, Anna J

    2015-01-01

    Rapid vocal motor learning is observed when acquiring a language in early childhood, or learning to speak another language later in life. Accurate pronunciation is one of the hardest things for late learners to master and they are almost always left with a non-native accent. Here, I propose a novel hypothesis that this accent could be improved by optimizing variability in vocal learning brain circuits during learning. Much of the neurobiology of human vocal motor learning has been inferred from studies on songbirds. Jarvis (2004) proposed the hypothesis that as in songbirds there are two pathways in humans: one for learning speech (the striatal vocal learning pathway), and one for production of previously learnt speech (the motor pathway). Learning new motor sequences necessary for accurate non-native pronunciation is challenging and I argue that in late learners of a foreign language the vocal learning pathway becomes inactive prematurely. The motor pathway is engaged once again and learners maintain their original native motor patterns for producing speech, resulting in speaking with a foreign accent. Further, I argue that variability in neural activity within vocal motor circuitry generates vocal variability that supports accurate non-native pronunciation. Recent theoretical and experimental work on motor learning suggests that variability in the motor movement is necessary for the development of expertise. I propose that there is little trial-by-trial variability when using the motor pathway. When using the vocal learning pathway variability gradually increases, reflecting an exploratory phase in which learners try out different ways of pronouncing words, before decreasing and stabilizing once the "best" performance has been identified. The hypothesis proposed here could be tested using behavioral interventions that optimize variability and engage the vocal learning pathway for longer, with the prediction that this would allow learners to develop new motor

  15. Leg pain and psychological variables predict outcome 2-3 years after lumbar fusion surgery.

    Science.gov (United States)

    Abbott, Allan D; Tyni-Lenné, Raija; Hedlund, Rune

    2011-10-01

    Prediction studies testing a thorough range of psychological variables in addition to demographic, work-related and clinical variables are lacking in lumbar fusion surgery research. This prospective cohort study aimed at examining predictions of functional disability, back pain and health-related quality of life (HRQOL) 2-3 years after lumbar fusion by regressing nonlinear relations in a multivariate predictive model of pre-surgical variables. Before and 2-3 years after lumbar fusion surgery, patients completed measures investigating demographics, work-related variables, clinical variables, functional self-efficacy, outcome expectancy, fear of movement/(re)injury, mental health and pain coping. Categorical regression with optimal scaling transformation, elastic net regularization and bootstrapping were used to investigate predictor variables and address predictive model validity. The most parsimonious and stable subset of pre-surgical predictor variables explained 41.6, 36.0 and 25.6% of the variance in functional disability, back pain intensity and HRQOL 2-3 years after lumbar fusion. Pre-surgical control over pain significantly predicted functional disability and HRQOL. Pre-surgical catastrophizing and leg pain intensity significantly predicted functional disability and back pain while the pre-surgical straight leg raise significantly predicted back pain. Post-operative psychomotor therapy also significantly predicted functional disability while pre-surgical outcome expectations significantly predicted HRQOL. For the median dichotomised classification of functional disability, back pain intensity and HRQOL levels 2-3 years post-surgery, the discriminative ability of the prediction models was of good quality. The results demonstrate the importance of pre-surgical psychological factors, leg pain intensity, straight leg raise and post-operative psychomotor therapy in the predictions of functional disability, back pain and HRQOL-related outcomes.

  16. The Perceived Success of Tutoring Students with Learning Disabilities: Relations to Tutee and Tutoring Variables

    Science.gov (United States)

    Michael, Rinat

    2016-01-01

    The current study examined the contribution of two types of variables to the perceived success of a tutoring project for college students with learning disabilities (LD): tutoring-related variables (the degree of engagement in different tutoring activities and difficulties encountered during tutoring), and tutee-related variables (learning…

  17. Applying Social Cognitive Theory to Academic Advising to Assess Student Learning Outcomes

    Science.gov (United States)

    Erlich, Richard J.; Russ-Eft, Darlene

    2011-01-01

    Review of social cognitive theory constructs of self-efficacy and self-regulated learning is applied to academic advising for the purposes of assessing student learning. A brief overview of the history of student learning outcomes in higher education is followed by an explanation of self-efficacy and self-regulated learning constructs and how they…

  18. Goals, Motivation for, and Outcomes of Personal Learning through Networks: Results of a Tweetstorm

    Science.gov (United States)

    Sie, Rory L. L.; Pataraia, Nino; Boursinou, Eleni; Rajagopal, Kamakshi; Margaryan, Anoush; Falconer, Isobel; Bitter-Rijpkema, Marlies; Littlejohn, Allison; Sloep, Peter B.

    2013-01-01

    Recent developments in the use of social media for learning have posed serious challenges for learners. The information overload that these online social tools create has changed the way learners learn and from whom they learn. An investigation of learners' goals, motivations and expected outcomes when using a personal learning network is…

  19. FLIPPED CLASSROOM LEARNING METHOD TO IMPROVE CARING AND LEARNING OUTCOME IN FIRST YEAR NURSING STUDENT

    Directory of Open Access Journals (Sweden)

    Ni Putu Wulan Purnama Sari

    2017-08-01

    Full Text Available Background and Purpose: Caring is the essence of nursing profession. Stimulation of caring attitude should start early. Effective teaching methods needed to foster caring attitude and improve learning achievement. This study aimed to explain the effect of applying flipped classroom learning method for improving caring attitude and learning achievement of new student nurses at nursing institutions in Surabaya. Method: This is a pre-experimental study using the one group pretest posttest and posttest only design. Population was all new student nurses on nursing institutions in Surabaya. Inclusion criteria: female, 18-21 years old, majoring in nursing on their own volition and being first choice during students selection process, status were active in the even semester of 2015/2016 academic year. Sample size was 67 selected by total sampling. Variables: 1 independent: application of flipped classroom learning method; 2 dependent: caring attitude, learning achievement. Instruments: teaching plan, assignment descriptions, presence list, assignment assessment rubrics, study materials, questionnaires of caring attitude. Data analysis: paired and one sample t test. Ethical clearance was available. Results: Most respondents were 20 years old (44.8%, graduated from high school in Surabaya (38.8%, living with parents (68.7% in their homes (64.2%. All data were normally distributed. Flipped classroom learning method could improve caring attitude by 4.13%. Flipped classroom learning method was proved to be effective for improving caring attitude (p=0.021 and learning achievement (p=0.000. Conclusion and Recommendation: Flipped classroom was effective for improving caring attitude and learning achievement of new student nurse. It is recommended to use mix-method and larger sample for further study.

  20. Learning curves and long-term outcome of simulation-based thoracentesis training for medical students

    Science.gov (United States)

    2011-01-01

    Background Simulation-based medical education has been widely used in medical skills training; however, the effectiveness and long-term outcome of simulation-based training in thoracentesis requires further investigation. The purpose of this study was to assess the learning curve of simulation-based thoracentesis training, study skills retention and transfer of knowledge to a clinical setting following simulation-based education intervention in thoracentesis procedures. Methods Fifty-two medical students were enrolled in this study. Each participant performed five supervised trials on the simulator. Participant's performance was assessed by performance score (PS), procedure time (PT), and participant's confidence (PC). Learning curves for each variable were generated. Long-term outcome of the training was measured by the retesting and clinical performance evaluation 6 months and 1 year, respectively, after initial training on the simulator. Results Significant improvements in PS, PT, and PC were noted among the first 3 to 4 test trials (p 0.05). Clinical competency in thoracentesis was improved in participants who received simulation training relative to that of first year medical residents without such experience (p simulation-based thoracentesis training can significantly improve an individual's performance. The saturation of learning from the simulator can be achieved after four practice sessions. Simulation-based training can assist in long-term retention of skills and can be partially transferred to clinical practice. PMID:21696584

  1. Variable learning performance: the levels of behaviour organization.

    Science.gov (United States)

    Csányi, V; Altbäcker, V

    1990-01-01

    Our experiments were focused on some special aspects of learning in the paradise fish. Passive avoidance conditioning method was used with different success depending on the complexity of the learning tasks. In the case of simple behavioural elements various "constrains" on avoidance learning were found. In a small, covered place the fish were ready to perform freezing reaction and mild punishment increased the frequency and duration of the freezing bouts very substantially. However, it was very difficult to enhance the frequency of freezing by punishment in a tank with transparent walls, where the main response to punishment was escape. The most easily learned tasks were the complex ones which had several different solutions. The fish learned to avoid either side of an aquarium very easily because they could use various behavioural elements to solve the problem. These findings could be interpreted within the framework of different organizational levels of behaviour.

  2. 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

  3. Sensitivity of adaptive enrichment trial designs to accrual rates, time to outcome measurement, and prognostic variables

    Directory of Open Access Journals (Sweden)

    Tianchen Qian

    2017-12-01

    Full Text Available Adaptive enrichment designs involve rules for restricting enrollment to a subset of the population during the course of an ongoing trial. This can be used to target those who benefit from the experimental treatment. Trial characteristics such as the accrual rate and the prognostic value of baseline variables are typically unknown when a trial is being planned; these values are typically assumed based on information available before the trial starts. Because of the added complexity in adaptive enrichment designs compared to standard designs, it may be of special concern how sensitive the trial performance is to deviations from assumptions. Through simulation studies, we evaluate the sensitivity of Type I error, power, expected sample size, and trial duration to different design characteristics. Our simulation distributions mimic features of data from the Alzheimer's Disease Neuroimaging Initiative cohort study, and involve two subpopulations based on a genetic marker. We investigate the impact of the following design characteristics: the accrual rate, the time from enrollment to measurement of a short-term outcome and the primary outcome, and the prognostic value of baseline variables and short-term outcomes. To leverage prognostic information in baseline variables and short-term outcomes, we use a semiparametric, locally efficient estimator, and investigate its strengths and limitations compared to standard estimators. We apply information-based monitoring, and evaluate how accurately information can be estimated in an ongoing trial.

  4. Learning Process and Learning Outcomes of Video Podcasts Including the Instructor and PPT Slides: A Chinese Case

    Science.gov (United States)

    Pi, Zhongling; Hong, Jianzhong

    2016-01-01

    Video podcasts have become one of the fastest developing trends in learning and teaching. The study explored the effect of the presenting mode of educational video podcasts on the learning process and learning outcomes. Prior to viewing a video podcast, the 94 Chinese undergraduates participating in the study completed a demographic questionnaire…

  5. Treatment outcomes for substance abuse among adolescents with learning disorders.

    Science.gov (United States)

    Yu, Jennifer W; Buka, Stephen L; Fitzmaurice, Garrett M; McCormick, Marie C

    2006-07-01

    This paper assesses whether chemically dependent adolescents with comorbid learning disorders (LDs) derived less effective treatment results when compared to chemically dependent adolescents without LD and examines the moderating effects of prior treatments, treatment length, and treatment completion. Two hundred one adolescents were recruited between 1992 and 1993 from Massachusetts residential treatment centers and subsequently followed up 6 months after enrollment. Compared to chemically dependent teenagers without LD, those with LD were twice as likely to re-use substances at least once by follow-up. LD teenagers were more likely to attend Alcoholics/Narcotics Anonymous if they had prior admissions to treatment programs and longer treatment length. LD teenagers who completed treatment also experienced a greater decrease in current depression compared to LD teenagers not completing the treatment. This study is the first to consider outcomes of substance abuse treatment for adolescents with LD and contributes to the growing literature on comorbidity and substance abuse treatment.

  6. Dissociable effects of practice variability on learning motor and timing skills.

    Science.gov (United States)

    Caramiaux, Baptiste; Bevilacqua, Frédéric; Wanderley, Marcelo M; Palmer, Caroline

    2018-01-01

    Motor skill acquisition inherently depends on the way one practices the motor task. The amount of motor task variability during practice has been shown to foster transfer of the learned skill to other similar motor tasks. In addition, variability in a learning schedule, in which a task and its variations are interweaved during practice, has been shown to help the transfer of learning in motor skill acquisition. However, there is little evidence on how motor task variations and variability schedules during practice act on the acquisition of complex motor skills such as music performance, in which a performer learns both the right movements (motor skill) and the right time to perform them (timing skill). This study investigated the impact of rate (tempo) variability and the schedule of tempo change during practice on timing and motor skill acquisition. Complete novices, with no musical training, practiced a simple musical sequence on a piano keyboard at different rates. Each novice was assigned to one of four learning conditions designed to manipulate the amount of tempo variability across trials (large or small tempo set) and the schedule of tempo change (randomized or non-randomized order) during practice. At test, the novices performed the same musical sequence at a familiar tempo and at novel tempi (testing tempo transfer), as well as two novel (but related) sequences at a familiar tempo (testing spatial transfer). We found that practice conditions had little effect on learning and transfer performance of timing skill. Interestingly, practice conditions influenced motor skill learning (reduction of movement variability): lower temporal variability during practice facilitated transfer to new tempi and new sequences; non-randomized learning schedule improved transfer to new tempi and new sequences. Tempo (rate) and the sequence difficulty (spatial manipulation) affected performance variability in both timing and movement. These findings suggest that there is a

  7. A Study of the Effects of Digital Learning on Learning Motivation and Learning Outcome

    Science.gov (United States)

    Lin, Ming-Hung; Chen, Huang-Cheng; Liu, Kuang-Sheng

    2017-01-01

    In the modern society when intelligent mobile devices become popular, the Internet breaks through the restrictions on time and space and becomes a ubiquitous learning tool. Designing teaching activity for digital learning and flexibly applying technology tools are the key issues for current information technology integrated education. In this…

  8. Team-based learning to improve learning outcomes in a therapeutics course sequence.

    Science.gov (United States)

    Bleske, Barry E; Remington, Tami L; Wells, Trisha D; Dorsch, Michael P; Guthrie, Sally K; Stumpf, Janice L; Alaniz, Marissa C; Ellingrod, Vicki L; Tingen, Jeffrey M

    2014-02-12

    To compare the effectiveness of team-based learning (TBL) to that of traditional lectures on learning outcomes in a therapeutics course sequence. A revised TBL curriculum was implemented in a therapeutic course sequence. Multiple choice and essay questions identical to those used to test third-year students (P3) taught using a traditional lecture format were administered to the second-year pharmacy students (P2) taught using the new TBL format. One hundred thirty-one multiple-choice questions were evaluated; 79 tested recall of knowledge and 52 tested higher level, application of knowledge. For the recall questions, students taught through traditional lectures scored significantly higher compared to the TBL students (88%±12% vs. 82%±16%, p=0.01). For the questions assessing application of knowledge, no differences were seen between teaching pedagogies (81%±16% vs. 77%±20%, p=0.24). Scores on essay questions and the number of students who achieved 100% were also similar between groups. Transition to a TBL format from a traditional lecture-based pedagogy allowed P2 students to perform at a similar level as students with an additional year of pharmacy education on application of knowledge type questions. However, P3 students outperformed P2 students regarding recall type questions and overall. Further assessment of long-term learning outcomes is needed to determine if TBL produces more persistent learning and improved application in clinical settings.

  9. 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

  10. Cognitive and motivational variables that shape academic learning: A preliminary study

    Directory of Open Access Journals (Sweden)

    Palos, Ramona

    2013-07-01

    Full Text Available The aim of this pilot study was to capture the relationship between cognitive and motivational variables and the student learning. 102 students from the Psychology specialization, license cycle, took part in the study. The following tools were used: the Rational-Experiential Inventory (Paccini & Epstein, 1999; the Intellectual development level questionnaire (Paloş, 2009, the Motivated Strategies for Learning Questionnaire (Rao & Sachs, 1999. The results indicated that the motivational and learning strategies used by students are influenced by their intellectual development level and their information processing style. Knowing the cognitive and motivational variables play an important role in devising the educational experiences and in making learning more efficient.

  11. Machine learning landscapes and predictions for patient outcomes

    Science.gov (United States)

    Das, Ritankar; Wales, David J.

    2017-07-01

    The theory and computational tools developed to interpret and explore energy landscapes in molecular science are applied to the landscapes defined by local minima for neural networks. These machine learning landscapes correspond to fits of training data, where the inputs are vital signs and laboratory measurements for a database of patients, and the objective is to predict a clinical outcome. In this contribution, we test the predictions obtained by fitting to single measurements, and then to combinations of between 2 and 10 different patient medical data items. The effect of including measurements over different time intervals from the 48 h period in question is analysed, and the most recent values are found to be the most important. We also compare results obtained for neural networks as a function of the number of hidden nodes, and for different values of a regularization parameter. The predictions are compared with an alternative convex fitting function, and a strong correlation is observed. The dependence of these results on the patients randomly selected for training and testing decreases systematically with the size of the database available. The machine learning landscapes defined by neural network fits in this investigation have single-funnel character, which probably explains why it is relatively straightforward to obtain the global minimum solution, or a fit that behaves similarly to this optimal parameterization.

  12. Prediction of outcome in internet-delivered cognitive behaviour therapy for paediatric obsessive-compulsive disorder: A machine learning approach.

    Science.gov (United States)

    Lenhard, Fabian; Sauer, Sebastian; Andersson, Erik; Månsson, Kristoffer Nt; Mataix-Cols, David; Rück, Christian; Serlachius, Eva

    2018-03-01

    There are no consistent predictors of treatment outcome in paediatric obsessive-compulsive disorder (OCD). One reason for this might be the use of suboptimal statistical methodology. Machine learning is an approach to efficiently analyse complex data. Machine learning has been widely used within other fields, but has rarely been tested in the prediction of paediatric mental health treatment outcomes. To test four different machine learning methods in the prediction of treatment response in a sample of paediatric OCD patients who had received Internet-delivered cognitive behaviour therapy (ICBT). Participants were 61 adolescents (12-17 years) who enrolled in a randomized controlled trial and received ICBT. All clinical baseline variables were used to predict strictly defined treatment response status three months after ICBT. Four machine learning algorithms were implemented. For comparison, we also employed a traditional logistic regression approach. Multivariate logistic regression could not detect any significant predictors. In contrast, all four machine learning algorithms performed well in the prediction of treatment response, with 75 to 83% accuracy. The results suggest that machine learning algorithms can successfully be applied to predict paediatric OCD treatment outcome. Validation studies and studies in other disorders are warranted. Copyright © 2017 John Wiley & Sons, Ltd.

  13. Exemplar variability facilitates rapid learning of an otherwise unlearnable grammar by individuals with language-based learning disability.

    Science.gov (United States)

    von Koss Torkildsen, Janne; Dailey, Natalie S; Aguilar, Jessica M; Gómez, Rebecca; Plante, Elena

    2013-04-01

    Even without explicit instruction, learners are able to extract information about the form of a language simply by attending to input that reflects the underlying grammar. In this study, the authors explored the role of variability in this learning by asking whether varying the number of unique exemplars heard by the learner affects learning of an artificial syntactic form. Learners with normal language (n = 16) and language-based learning disability (LLD; n = 16) were exposed to strings of nonwords that represented an underlying grammar. Half of the learners heard 3 exemplars 16 times each (low variability group), and the other half of the learners heard 24 exemplars twice each (high variability group). Learners were then tested for recognition of items heard and generalization of the grammar with new nonword strings. Only those learners with LLD who were in the high variability group were able to demonstrate generalization of the underlying grammar. For learners with normal language, both those in the high and the low variability groups showed generalization of the grammar, but relative effect sizes suggested a larger learning effect in the high variability group. The results demonstrate that the structure of the learning context can determine the ability to generalize from specific training items to novel cases.

  14. What Variables are Associated with Successful Weight Loss Outcomes for Bariatric Surgery After One Year?

    Science.gov (United States)

    Robinson, Athena H.; Adler, Sarah; Stevens, Helen B.; Darcy, Alison M.; Morton, John M.; Safer, Debra L.

    2014-01-01

    Background Prior evidence indicates that predictors of weight loss outcomes after gastric bypass surgery fall within 5 domains: 1) presurgical factors; 2) postsurgical psychosocial variables (e.g., support group attendance); 3) postsurgical eating patterns; 4) postsurgical physical activity; and 5) follow-up at postsurgical clinic. However, little data exist on which specific behavioral predictors are most associated with successful outcomes (e.g., ≥50% excess weight loss) when considering the 5 domains simultaneously. Objectives Specify the behavioral variables, and their respective cutoff points, most associated with successful weight loss outcomes. Setting On-line survey. Methods Signal Detection Analysis evaluated associations between 84 pre-and postsurgical behavioral variables (within the 5 domains) and successful weight loss at ≥1 year in 274 post-gastric bypass surgery patients. Results Successful weight loss was highest (92.6%) among those reporting dietary adherence of >3 on a 9 point scale (median=5) who grazed no more than once-per-day. Among participants reporting dietary adherence <3 and grazing daily or less, success rates more than doubled when highest lifetime Body Mass Index was <53.7 kg/m2. Success rates also doubled for participants with dietary adherence =3 if attending support groups. No variables from the physical activity or postsurgical follow-up domains were significant, nor were years since surgery. The overall model’s sensitivity =.62, specificity =.92. Conclusions To our knowledge, this is the first study to simultaneously consider the relative contribution of behavioral variables within 5 domains and offer clinicians an assessment algorithm identifying cut-off points for behaviors most associated with successful postsurgical weight loss. Such data may inform prospective study designs and postsurgical interventions. PMID:24913590

  15. Motivation, students' needs and learning outcomes: a hybrid game-based app for enhanced language learning.

    Science.gov (United States)

    Berns, Anke; Isla-Montes, José-Luis; Palomo-Duarte, Manuel; Dodero, Juan-Manuel

    2016-01-01

    In the context of European Higher Education students face an increasing focus on independent, individual learning-at the expense of face-to-face interaction. Hence learners are, all too often, not provided with enough opportunities to negotiate in the target language. The current case study aims to address this reality by going beyond conventional approaches to provide students with a hybrid game-based app, combining individual and collaborative learning opportunities. The 4-week study was carried out with 104 German language students (A1.2 CEFR) who had previously been enrolled in a first-semester A1.1 level course at a Spanish university. The VocabTrainerA1 app-designed specifically for this study-harnesses the synergy of combining individual learning tasks and a collaborative murder mystery game in a hybrid level-based architecture. By doing so, the app provides learners with opportunities to apply their language skills to real-life-like communication. The purpose of the study was twofold: on one hand we aimed to measure learner motivation, perceived usefulness and added value of hybrid game-based apps; on the other, we sought to determine their impact on language learning. To this end, we conducted focus group interviews and an anonymous Technology Acceptance Model survey (TAM). In addition, students took a pre-test and a post-test. Scores from both tests were compared with the results obtained in first-semester conventional writing tasks, with a view to measure learning outcomes. The study provides qualitative and quantitative data supporting our initial hypotheses. Our findings suggest that hybrid game-based apps like VocabTrainerA1-which seamlessly combine individual and collaborative learning tasks-motivate learners, stimulate perceived usefulness and added value, and better meet the language learning needs of today's digital natives. In terms of acceptance, outcomes and sustainability, the data indicate that hybrid game-based apps significantly improve

  16. The role of outcome inhibition in interference between outcomes: a contingency-learning analogue of retrieval-induced forgetting.

    Science.gov (United States)

    Vadillo, Miguel A; Orgaz, Cristina; Luque, David; Cobos, Pedro L; López, Francisco J; Matute, Helena

    2013-05-01

    Current associative theories of contingency learning assume that inhibitory learning plays a part in the interference between outcomes. However, it is unclear whether this inhibitory learning results in the inhibition of the outcome representation or whether it simply counteracts previous excitatory learning so that the outcome representation is neither activated nor inhibited. Additionally, these models tend to conceptualize inhibition as a relatively transient and cue-dependent state. However, research on retrieval-induced forgetting suggests that the inhibition of representations is a real process that can be relatively independent of the retrieval cue used to access the inhibited information. Consistent with this alternative view, we found that interference between outcomes reduces the retrievability of the target outcome even when the outcome is associated with a novel (non-inhibitory) cue. This result has important theoretical implications for associative models of interference and shows that the empirical facts and theories developed in studies of retrieval-induced forgetting might be relevant in contingency learning and vice versa. © 2012 The British Psychological Society.

  17. Analysing Learning Outcomes in an Electrical Engineering Curriculum Using Illustrative Verbs Derived from Bloom's Taxonomy

    Science.gov (United States)

    Meda, Lawrence; Swart, Arthur James

    2018-01-01

    Learning outcomes are essential to any curriculum in education, where they need to be clear, observable and measurable. However, some academics structure learning outcomes in a way that does not promote student learning. The purpose of this article is to present the analyses of learning outcomes of an Electrical Engineering curriculum offered at a…

  18. Variables that impact the implementation of project-based learning in high school science

    Science.gov (United States)

    Cunningham, Kellie

    Wagner and colleagues (2006) state the mediocrity of teaching and instructional leadership is the central problem that must be addressed if we are to improve student achievement. Educational reform efforts have been initiated to improve student performance and to hold teachers and school leaders accountable for student achievement (Wagner et al., 2006). Specifically, in the area of science, goals for improving student learning have led reformers to establish standards for what students should know and be able to do, as well as what instructional methods should be used. Key concepts and principles have been identified for student learning. Additionally, reformers recommend student-centered, inquiry-based practices that promote a deep understanding of how science is embedded in the everyday world. These new approaches to science education emphasize inquiry as an essential element for student learning (Schneider, Krajcik, Marx, & Soloway, 2002). Project-based learning (PBL) is an inquiry-based instructional approach that addresses these recommendations for science education reform. The objective of this research was to study the implementation of project-based learning (PBL) in an urban school undergoing reform efforts and identify the variables that positively or negatively impacted the PBL implementation process and its outcomes. This study responded to the need to change how science is taught by focusing on the implementation of project-based learning as an instructional approach to improve student achievement in science and identify the role of both school leaders and teachers in the creation of a school environment that supports project-based learning. A case study design using a mixed-method approach was used in this study. Data were collected through individual interviews with the school principal, science instructional coach, and PBL facilitator. A survey, classroom observations and interviews involving three high school science teachers teaching grades 9

  19. The Better You Feel the Better You Learn: Do Warm Colours and Rounded Shapes Enhance Learning Outcome in Multimedia Learning?

    Directory of Open Access Journals (Sweden)

    Hannes Münchow

    2017-01-01

    Full Text Available The aim of the present study was to examine whether fostering positive activating affect during multimedia learning enhances learning outcome. University students were randomly assigned to either a multimedia learning environment designed to induce positive activating affect through the use of “warm” colours and rounded shapes (n=61 or an affectively neutral environment that used achromatic colours and sharp edges (n=50. Participants learned about the topic of functional neuroanatomy for 20 minutes and had to answer several questions for comprehension and transfer afterwards. Affective states as well as achievement goal orientations were investigated before and after the learning phase using questionnaires. The results show that participants in the affectively positive environment were superior in comprehension as well as transfer when initial affect was strong. Preexperimental positive affect was therefore a predictor of comprehension and a moderator for transfer. Goal orientations did not influence these effects. The findings support the idea that positive affect, induced through the design of the particular multimedia learning environment, can facilitate performance if initial affective states are taken into account.

  20. A multiplicative reinforcement learning model capturing learning dynamics and interindividual variability in mice

    OpenAIRE

    Bathellier, Brice; Tee, Sui Poh; Hrovat, Christina; Rumpel, Simon

    2013-01-01

    Learning speed can strongly differ across individuals. This is seen in humans and animals. Here, we measured learning speed in mice performing a discrimination task and developed a theoretical model based on the reinforcement learning framework to account for differences between individual mice. We found that, when using a multiplicative learning rule, the starting connectivity values of the model strongly determine the shape of learning curves. This is in contrast to current learning models ...

  1. Study preferences for exemplar variability in self-regulated category learning.

    Science.gov (United States)

    Wahlheim, Christopher N; DeSoto, K Andrew

    2017-02-01

    Increasing exemplar variability during category learning can enhance classification of novel exemplars from studied categories. Four experiments examined whether participants preferred variability when making study choices with the goal of later classifying novel exemplars. In Experiments 1-3, participants were familiarised with exemplars of birds from multiple categories prior to making category-level assessments of learning and subsequent choices about whether to receive more variability or repetitions of exemplars during study. After study, participants classified novel exemplars from studied categories. The majority of participants showed a consistent preference for variability in their study, but choices were not related to category-level assessments of learning. Experiment 4 provided evidence that study preferences were based primarily on theoretical beliefs in that most participants indicated a preference for variability on questionnaires that did not include prior experience with exemplars. Potential directions for theoretical development and applications to education are discussed.

  2. Visit-to-visit cholesterol variability correlates with coronary atheroma progression and clinical outcomes.

    Science.gov (United States)

    Clark, Donald; Nicholls, Stephen J; St John, Julie; Elshazly, Mohamed B; Kapadia, Samir R; Tuzcu, E Murat; Nissen, Steven E; Puri, Rishi

    2018-04-21

    Utilizing serial intravascular ultrasonography (IVUS), we aimed to exam the association of intra-individual lipid variability, coronary atheroma progression, and clinical outcomes. We performed a post hoc patient-level analysis of nine clinical trials involving 4976 patients with coronary artery disease who underwent serial coronary IVUS in the setting of a range of medical therapies. We assessed the associations between progression in percent atheroma volume (ΔPAV), clinical outcomes, and visit-to-visit lipid variability including low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), non-HDL-C, total cholesterol (TC)/HDL-C, and apolipoprotein B (ApoB). Variability of lipid parameters was measured using intra-individual standard deviation over 3, 6, 12, 18, and 24 months. Atherogenic lipoprotein variability significantly associated with ΔPAV [odds ratio (95% confidence interval; P-value), LDL-C: 1.09 (1.02, 1.17, P = 0.01); non-HDL-C: 1.10 (1.02, 1.18, P = 0.01); TC/HDL-C: 1.14 (1.06, 1.24, P = 0.001); ApoB: 1.13 (1.03, 1.24, P = 0.01)]. Survival curves revealed significant stepwise relationships between cumulative major adverse cardiovascular events and increasing quartiles of atherogenic lipoprotein variability at 24-months follow-up (log-rank P C). Stronger associations were noted between achieved lipoprotein levels and ΔPAV [LDL-C: 1.27 (1.17, 1.39; P C: 1.32 (1.21, 1.45; P C: 1.31 (1.19, 1.45; P < 0.001); ApoB: 1.20 (1.07, 1.35; P = 0.003)]. Greater visit-to-visit variability in atherogenic lipoprotein levels significantly associates with coronary atheroma progression and clinical outcomes, although the association between achieved atherogenic lipoproteins and atheroma progression appears stronger. These data highlight the importance of achieving low and consistent atherogenic lipoprotein levels to promote plaque regression and improve clinical outcomes.

  3. Examining Self Regulated Learning in Relation to Certain Selected Variables

    Science.gov (United States)

    Johnson, N.

    2012-01-01

    Self-regulation is the controlling of a process or activity by the students who are involved in Problem solving in Physics rather than by an external agency (Johnson, 2011). Selfregulated learning consists of three main components: cognition, metacognition, and motivation. Cognition includes skills necessary to encode, memorise, and recall…

  4. Mode transition and change in variable use in perceptual learning

    NARCIS (Netherlands)

    Hajnal, A; Grocki, M; Jacobs, DM; Zaal, FTJM; Michaels, CF

    2006-01-01

    Runeson, Justin, and Olsson (2000) proposed (a) that perceptual learning entails a transition from an inferential to a direct-perceptual mode of apprehension, and (b) that relative confidence-the difference between estimated and actual performance-indicates whether apprehension is inferential or

  5. Mode transition and change in variable use in perceptual learning

    NARCIS (Netherlands)

    Hajnal, A.; Grocki, M.; Jacobs, D.M.; Zaal, F.T.J.M.; Michaels, C.F.

    2006-01-01

    Runeson, Juslin, and Olsson (2000) proposed (a) that perceptual learning entails a transition from an inferential to a direct-perceptual mode of apprehension, and (b) that relative confidence - the difference between estimated and actual performance - indicates whether apprehension is inferential or

  6. Variability of Performance: A "Signature" Characteristic of Learning Disabled Children?

    Science.gov (United States)

    Fuchs, Douglas; And Others

    Two studies were conducted to compare the performance instability of children (grades 3-9) labeled learning disabled/brain injured (LD/BI) to the performance instability of emotionally handicapped (EH) children. In the first study, 50 LD/BI and 37 EH students were measured on three third grade reading passages twice, once within one sitting and…

  7. 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 ...

  8. The Effect of Gender and Race Intersectionality on Student Learning Outcomes in Engineering

    Science.gov (United States)

    Ro, Hyun Kyoung; Loya, Karla I.

    2015-01-01

    Women and underrepresented minorities in traditionally White and male-dominated disciplines tend to report lower learning outcomes than their White peers. Adopting a feminist intersectionality framework, this study looks at the intersections of gender and race to investigate differences in self-assessed learning outcomes in engineering…

  9. Hunting and Gathering: New Imperatives in Mapping and Collecting Student Learning Data to Assure Quality Outcomes

    Science.gov (United States)

    Lawson, Romy; Taylor, Tracy; French, Erica; Fallshaw, Eveline; Hall, Cathy; Kinash, Shelley; Summers, Jane

    2015-01-01

    Assurance of learning (AOL) is a quality enhancement and quality assurance process used in higher education. It involves a process of determining programme learning outcomes and standards, and systematically gathering evidence to measure students' performance on these. The systematic assessment of whole-of-programme outcomes provides a basis for…

  10. Acid-Base Learning Outcomes for Students in an Introductory Organic Chemistry Course

    Science.gov (United States)

    Stoyanovich, Carlee; Gandhi, Aneri; Flynn, Alison B.

    2015-01-01

    An outcome-based approach to teaching and learning focuses on what the student demonstrably knows and can do after instruction, rather than on what the instructor teaches. This outcome-focused approach can then guide the alignment of teaching strategies, learning activities, and assessment. In organic chemistry, mastery of organic acid-base…

  11. The Social Outcomes of Older Adult Learning in Taiwan: Evaluation Framework and Indicators

    Science.gov (United States)

    Lin, Li-Hui

    2015-01-01

    The purpose of this study is to explore the social outcomes of older adult learning in Taiwan. In light of our society's aging population structure, the task of establishing evaluation framework and indicators for the social outcomes of learning (SOL) as applied to older adults is urgent. In order to construct evaluation indicators for older adult…

  12. Perceived Learning Outcomes from Participation in One Type of Registered Student Organization: Equestrian Sport Clubs

    Science.gov (United States)

    Mikulec, Erin; McKinney, Kathleen

    2014-01-01

    Learning takes place both inside and outside of the classroom. While there are a few studies that focus on the professional, developmental, and learning outcomes of participation in student organizations, there has been insufficient research on these outcomes in sport clubs. The paper reports on the results of an online, primarily qualitative…

  13. Aligning Learning and Talent Development Performance Outcomes with Organizational Objectives: A Proposed Model

    Science.gov (United States)

    Ware, Iris

    2017-01-01

    The value proposition for learning and talent development (LTD) is often challenged due to human resources' inability to demonstrate meaningful outcomes in relation to organizational needs and return-on-investment. The primary role of human resources (HR) and the learning and talent development (LTD) function is to produce meaningful outcomes to…

  14. Learning Outcomes as a Key Concept in Policy Documents throughout Policy Changes

    Science.gov (United States)

    Prøitz, Tine Sophie

    2015-01-01

    Learning outcomes can be considered to be a key concept in a changing education policy landscape, enhancing aspects such as benchmarking and competition. Issues relating to concepts of performance have a long history of debate within the field of education. Today, the concept of learning outcomes has become central in education policy development,…

  15. Linking Essential Learning Outcomes and Interprofessional Collaborative Practice Competency in Health Science Undergraduates

    Science.gov (United States)

    Reed, Carole-Rae; Garcia, Luis Ivan; Slusser, Margaret M.; Konowitz, Sharon; Yep, Jewelry

    2017-01-01

    Assessing student learning outcomes and determining achievement of the Interprofessional Collaborative Practice (IPCEP) Core Competency of Values/Ethics in a generic pre-professional Bachelor of Science in Health Science (BSHS) program is challenging. A course level Student Learning Outcome (SLO) is: "….articulate the impact of personal…

  16. Grasping the TLRP Nettle: Preliminary Analysis and Some Enduring Issues Surrounding the Improvement of Learning Outcomes

    Science.gov (United States)

    James, Mary; Brown, Sally

    2005-01-01

    The ESRC Teaching and Learning Research Programme is the largest ever programme of educational research in the UK. This article reports the purposes, processes, outcomes and issues arising from cross-programme thematic work on the conceptualization of, and research into, 'enhancing learning outcomes' which is a key aim of the programme. Early…

  17. Effect Of Variable Practice On The Motor Learning Process In Manual Wheelchair Propulsion

    NARCIS (Netherlands)

    Leving, Marika T; Vegter, Riemer J K; de Groot, Sonja; van der Woude, Lucas H V

    Handrim wheelchair propulsion is a cyclic skill that needs to be learned during rehabilitation. It has been suggested that a higher intra-individual variability benefits the motor learning process of wheelchair propulsion. PURPOSE: The goal of the current study was to determine the effect of

  18. Child predictors of learning to control variables via instruction or self-discovery

    NARCIS (Netherlands)

    Wagensveld, B.; Segers, P.C.J.; Kleemans, M.A.J.; Verhoeven, L.T.W.

    2015-01-01

    We examined the role child factors on the acquisition and transfer of learning the control of variables strategy (CVS) via instruction or self-discovery. Seventy-six fourth graders and 43 sixth graders were randomly assigned to a group receiving direct CVS instruction or a discovery learning group.

  19. Observation and assessment of faculty development learning outcomes.

    Science.gov (United States)

    Behar-Horenstein, Linda S; Childs, Gail Schneider; Graff, Randy A

    2010-11-01

    Prior research has found that participation in course offerings provides a means of professional development and results in changes to faculty beliefs and instructional practices. However, as with most professional development initiatives in education, little is known about the sustainability of these training efforts. The research question that guided this study was the following: Do professional development efforts in teaching result in observed learning outcomes among faculty members? In this study, teaching observations served as the primary data source. Twelve faculty members (six in the College of Dentistry and six in the College of Health and Human Performance) who completed two six-week teaching seminars in fall 2006 and spring 2007 or spring 2008 and summer 2008 were asked to participate in a classroom observation and an interview lasting no longer than forty-five minutes. Six dental faculty members and three faculty members from the College of Health and Human Performance agreed to participate in the study. Three standardized reviewers conducted these classroom observations during fall 2008, spring 2009, and summer 2009. An active teaching rubric was used to evaluate the class transcripts. The findings revealed that participants somewhat frequently to frequently used questions that were open-ended or checked for comprehension. Seven of nine instructors made extensive efforts to engage the students interactively throughout the teaching session. Six of the participants infused the description of actual or hypothetical cases to illustrate the connections between teaching and patient care, while six utilized reflective practices. Findings from the interviews corroborated the observations. Overall, the findings showed that participants demonstrated the integration of those strategies that were taught during the seminars, which were consistent with teaching critical thinking skills and showed that the learning acquired during professional development

  20. Evaluation of standardized and applied variables in predicting treatment outcomes of polytrauma patients.

    Science.gov (United States)

    Aksamija, Goran; Mulabdic, Adi; Rasic, Ismar; Muhovic, Samir; Gavric, Igor

    2011-01-01

    Polytrauma is defined as an injury where they are affected by at least two different organ systems or body, with at least one life-threatening injuries. Given the multilevel model care of polytrauma patients within KCUS are inevitable weaknesses in the management of this category of patients. To determine the dynamics of existing procedures in treatment of polytrauma patients on admission to KCUS, and based on statistical analysis of variables applied to determine and define the factors that influence the final outcome of treatment, and determine their mutual relationship, which may result in eliminating the flaws in the approach to the problem. The study was based on 263 polytrauma patients. Parametric and non-parametric statistical methods were used. Basic statistics were calculated, based on the calculated parameters for the final achievement of research objectives, multicoleration analysis, image analysis, discriminant analysis and multifactorial analysis were used. From the universe of variables for this study we selected sample of n = 25 variables, of which the first two modular, others belong to the common measurement space (n = 23) and in this paper defined as a system variable methods, procedures and assessments of polytrauma patients. After the multicoleration analysis, since the image analysis gave a reliable measurement results, we started the analysis of eigenvalues, that is defining the factors upon which they obtain information about the system solve the problem of the existing model and its correlation with treatment outcome. The study singled out the essential factors that determine the current organizational model of care, which may affect the treatment and better outcome of polytrauma patients. This analysis has shown the maximum correlative relationships between these practices and contributed to development guidelines that are defined by isolated factors.

  1. Prediction of stroke thrombolysis outcome using CT brain machine learning

    Directory of Open Access Journals (Sweden)

    Paul Bentley

    2014-01-01

    Full Text Available A critical decision-step in the emergency treatment of ischemic stroke is whether or not to administer thrombolysis — a treatment that can result in good recovery, or deterioration due to symptomatic intracranial haemorrhage (SICH. Certain imaging features based upon early computerized tomography (CT, in combination with clinical variables, have been found to predict SICH, albeit with modest accuracy. In this proof-of-concept study, we determine whether machine learning of CT images can predict which patients receiving tPA will develop SICH as opposed to showing clinical improvement with no haemorrhage. Clinical records and CT brains of 116 acute ischemic stroke patients treated with intravenous thrombolysis were collected retrospectively (including 16 who developed SICH. The sample was split into training (n = 106 and test sets (n = 10, repeatedly for 1760 different combinations. CT brain images acted as inputs into a support vector machine (SVM, along with clinical severity. Performance of the SVM was compared with established prognostication tools (SEDAN and HAT scores; original, or after adaptation to our cohort. Predictive performance, assessed as area under receiver-operating-characteristic curve (AUC, of the SVM (0.744 compared favourably with that of prognostic scores (original and adapted versions: 0.626–0.720; p < 0.01. The SVM also identified 9 out of 16 SICHs, as opposed to 1–5 using prognostic scores, assuming a 10% SICH frequency (p < 0.001. In summary, machine learning methods applied to acute stroke CT images offer automation, and potentially improved performance, for prediction of SICH following thrombolysis. Larger-scale cohorts, and incorporation of advanced imaging, should be tested with such methods.

  2. The significance of clinical experience on learning outcome from resuscitation training-a randomised controlled study

    DEFF Research Database (Denmark)

    Jensen, Morten Lind; Lippert, Freddy; Hesselfeldt, Rasmus

    2008-01-01

    CONTEXT: The impact of clinical experience on learning outcome from a resuscitation course has not been systematically investigated. AIM: To determine whether half a year of clinical experience before participation in an Advanced Life Support (ALS) course increases the immediate learning outcome...... and retention of learning. MATERIALS AND METHODS: This was a prospective single blinded randomised controlled study of the learning outcome from a standard ALS course on a volunteer sample of the entire cohort of newly graduated doctors from Copenhagen University. The outcome measurement was ALS...... immediately following graduation. RESULTS: Invitation to participate was accepted by 154/240 (64%) graduates and 117/154 (76%) completed the study. There was no difference between the intervention and control groups with regard to the immediate learning outcome. The intervention group had significantly higher...

  3. Effects of visual feedback-induced variability on motor learning of handrim wheelchair propulsion.

    Directory of Open Access Journals (Sweden)

    Marika T Leving

    Full Text Available It has been suggested that a higher intra-individual variability benefits the motor learning of wheelchair propulsion. The present study evaluated whether feedback-induced variability on wheelchair propulsion technique variables would also enhance the motor learning process. Learning was operationalized as an improvement in mechanical efficiency and propulsion technique, which are thought to be closely related during the learning process.17 Participants received visual feedback-based practice (feedback group and 15 participants received regular practice (natural learning group. Both groups received equal practice dose of 80 min, over 3 weeks, at 0.24 W/kg at a treadmill speed of 1.11 m/s. To compare both groups the pre- and post-test were performed without feedback. The feedback group received real-time visual feedback on seven propulsion variables with instruction to manipulate the presented variable to achieve the highest possible variability (1st 4-min block and optimize it in the prescribed direction (2nd 4-min block. To increase motor exploration the participants were unaware of the exact variable they received feedback on. Energy consumption and the propulsion technique variables with their respective coefficient of variation were calculated to evaluate the amount of intra-individual variability.The feedback group, which practiced with higher intra-individual variability, improved the propulsion technique between pre- and post-test to the same extent as the natural learning group. Mechanical efficiency improved between pre- and post-test in the natural learning group but remained unchanged in the feedback group.These results suggest that feedback-induced variability inhibited the improvement in mechanical efficiency. Moreover, since both groups improved propulsion technique but only the natural learning group improved mechanical efficiency, it can be concluded that the improvement in mechanical efficiency and propulsion technique do not

  4. Evolution of learning strategies in temporally and spatially variable environments: a review of theory.

    Science.gov (United States)

    Aoki, Kenichi; Feldman, Marcus W

    2014-02-01

    The theoretical literature from 1985 to the present on the evolution of learning strategies in variable environments is reviewed, with the focus on deterministic dynamical models that are amenable to local stability analysis, and on deterministic models yielding evolutionarily stable strategies. Individual learning, unbiased and biased social learning, mixed learning, and learning schedules are considered. A rapidly changing environment or frequent migration in a spatially heterogeneous environment favors individual learning over unbiased social learning. However, results are not so straightforward in the context of learning schedules or when biases in social learning are introduced. The three major methods of modeling temporal environmental change--coevolutionary, two-timescale, and information decay--are compared and shown to sometimes yield contradictory results. The so-called Rogers' paradox is inherent in the two-timescale method as originally applied to the evolution of pure strategies, but is often eliminated when the other methods are used. Moreover, Rogers' paradox is not observed for the mixed learning strategies and learning schedules that we review. We believe that further theoretical work is necessary on learning schedules and biased social learning, based on models that are logically consistent and empirically pertinent. Copyright © 2013 Elsevier Inc. All rights reserved.

  5. Evolution of learning strategies in temporally and spatially variable environments: A review of theory

    Science.gov (United States)

    Aoki, Kenichi; Feldman, Marcus W.

    2013-01-01

    The theoretical literature from 1985 to the present on the evolution of learning strategies in variable environments is reviewed, with the focus on deterministic dynamical models that are amenable to local stability analysis, and on deterministic models yielding evolutionarily stable strategies. Individual learning, unbiased and biased social learning, mixed learning, and learning schedules are considered. A rapidly changing environment or frequent migration in a spatially heterogeneous environment favors individual learning over unbiased social learning. However, results are not so straightforward in the context of learning schedules or when biases in social learning are introduced. The three major methods of modeling temporal environmental change – coevolutionary, two-timescale, and information decay – are compared and shown to sometimes yield contradictory results. The so-called Rogers’ paradox is inherent in the two-timescale method as originally applied to the evolution of pure strategies, but is often eliminated when the other methods are used. Moreover, Rogers’ paradox is not observed for the mixed learning strategies and learning schedules that we review. We believe that further theoretical work is necessary on learning schedules and biased social learning, based on models that are logically consistent and empirically pertinent. PMID:24211681

  6. The Influence of Cognitive Learning Style and Learning Independence on the Students' Learning Outcomes

    Science.gov (United States)

    Prayekti

    2018-01-01

    Students of Open University are strongly required to be able to study independently. They rely heavily on the cognitive learning styles that they have in attempt to get maximum scores in every final exam. The participants of this research were students in the Physics Education program taking Thermodynamic subject course. The research analysis…

  7. Learning Latent Variable and Predictive Models of Dynamical Systems

    Science.gov (United States)

    2009-10-01

    Huijbregts. The ICSI RT07s Speaker Diarization System. Springer-Verlag, 2008. 4.5 [57] Gal Elidan and Nir Friedman. Learning the dimensionality of hidden...13, 435 and a test set of size 1, 771. VOWEL: This data set consists of multiple utterances of a particular Japanese vowel by nine male speakers . We...classification based on cultural style [51]; audio diarization , i.e., extraction of speech segments in long audio signals from background sounds [52]; audio

  8. Evaluation of Online Log Variables That Estimate Learners' Time Management in a Korean Online Learning Context

    Science.gov (United States)

    Jo, Il-Hyun; Park, Yeonjeong; Yoon, Meehyun; Sung, Hanall

    2016-01-01

    The purpose of this study was to identify the relationship between the psychological variables and online behavioral patterns of students, collected through a learning management system (LMS). As the psychological variable, time and study environment management (TSEM), one of the sub-constructs of MSLQ, was chosen to verify a set of time-related…

  9. Six-Word Memoirs: A Content Analysis of First-Year Course Learning Outcomes

    Science.gov (United States)

    Rubin, Lisa

    2016-01-01

    First-year courses prepare students for the transition to, and success in, college. Institutions are interested in assessing student learning outcomes to achieve institutional goals and maintain accreditation. Though it may be difficult to measure student learning and success, colleges aim to assess student learning in the classroom by setting…

  10. Goals, Motivation for, and Outcomes of Personal Learning through Networks: Results of a Tweetstorm

    NARCIS (Netherlands)

    Sie, Rory; Pataraia, Nino; Boursinou, Eleni; Rajagopal, Kamakshi; Margaryan, Anoush; Falconer, Isobel; Bitter-Rijpkema, Marlies; Littlejohn, Allison; Sloep, Peter

    2018-01-01

    Recent developments in the use of social media for learning have posed serious challenges for learners. The information overload that these online social tools create has changed the way learners learn and from whom they learn. An investigation of learners' goals, motivations and expected outcomes

  11. Blended versus Traditional Course Delivery: Comparing Students' Motivation, Learning Outcomes, and Preferences

    Science.gov (United States)

    Tseng, Hungwei; Walsh, Eamonn Joseph, Jr.

    2016-01-01

    This study sought to compare and assess students' experiences and perceptions in a blended and a traditional course, as well as their level of learning motivation, level of learning outcomes and skills, and learning achievement. Two instructors who were teaching 1 section of an undergraduate English literacy course using the face-to-face format…

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

    Directory of Open Access Journals (Sweden)

    Dong Liang

    2014-09-01

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

  13. Lessons learned from ESA INTEGRAL: cataclysmic variables and blazars

    Czech Academy of Sciences Publication Activity Database

    Hudec, René; Gális, R.; Kocka, Matúš

    2010-01-01

    Roč. 81, č. 1 (2010), s. 320-325 ISSN 0037-8720. [Multifrequency behaviour of high energy cosmic sources. Vulcano, 25.05.2009-30.05. 2009] Institutional research plan: CEZ:AV0Z10030501 Keywords : high-energy sources * cataclysmic variables * INTEGRAL Subject RIV: BN - Astronomy, Celestial Mechanics, Astrophysics

  14. Improving Outcome of Psychosocial Treatments by Enhancing Memory and Learning

    Science.gov (United States)

    Harvey, Allison G.; Lee, Jason; Williams, Joseph; Hollon, Steven D.; Walker, Matthew P.; Thompson, Monique A.; Smith, Rita

    2014-01-01

    Mental disorders are prevalent and lead to significant impairment. Progress toward establishing treatments has been good. However, effect sizes are small to moderate, gains may not persist, and many patients derive no benefit. Our goal is to highlight the potential for empirically-supported psychosocial treatments to be improved by incorporating insights from cognitive psychology and research on education. Our central question is: If it were possible to improve memory for content of sessions of psychosocial treatments, would outcome substantially improve? This question arises from five lines of evidence: (a) mental illness is often characterized by memory impairment, (b) memory impairment is modifiable, (c) psychosocial treatments often involve the activation of emotion, (d) emotion can bias memory and (e) memory for psychosocial treatment sessions is poor. Insights from scientific knowledge on learning and memory are leveraged to derive strategies for a transdiagnostic and transtreatment cognitive support intervention. These strategies can be applied within and between sessions and to interventions delivered via computer, the internet and text message. Additional novel pathways to improving memory include improving sleep, engaging in exercise and imagery. Given that memory processes change across the lifespan, services to children and older adults may benefit from cognitive support. PMID:25544856

  15. Geriatrics Curricula for Internal and Family Medicine Residents: Assessing Study Quality and Learning Outcomes.

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    Cheng, Huai Yong; Davis, Molly

    2017-02-01

    Prior reviews of geriatrics curricula for internal medicine (IM) and family medicine (FM) residents have not evaluated study quality or assessed learning objectives or specific IM or FM competencies. This review of geriatrics curricula for IM and FM residents seeks to answer 3 questions: (1) What types of learning outcomes were measured? (2) How were learning outcomes measured? and (3) What was the quality of the studies? We evaluated geriatrics curricula that reported learning objectives or competencies, teaching methods, and learning outcomes, and those that used a comparative design. We searched PubMed and 4 other data sets from 2003-2015, and assessed learning outcomes, outcome measures, and the quality of studies using the Medical Education Research Study Quality Instrument (MERSQI) and Best Evidence Medical Education (BEME) methods. Fourteen studies met inclusion criteria. Most curricula were intended for IM residents in the inpatient setting; only 1 was solely dedicated to FM residents. Median duration was 1 month, and minimum geriatrics competencies covered were 4. Learning outcomes ranged from Kirkpatrick levels 1 to 3. Studies that reported effect size showed a considerable impact on attitudes and knowledge, mainly via pretests and posttests. The mean MERSQI score was 10.5 (range, 8.5-13) on a scale of 5 (lowest quality) to 18 (highest quality). Few geriatrics curricula for IM and FM residents that included learning outcome assessments were published recently. Overall, changes in attitudes and knowledge were sizeable, but reporting was limited to low to moderate Kirkpatrick levels. Study quality was moderate.

  16. An Intentional Approach to Achieving Learning Outcomes during a Youth Leadership Residential Program

    Directory of Open Access Journals (Sweden)

    Jeremy Green

    2012-09-01

    Full Text Available The High Desert Leadership Retreat (HDLR is an annual four-day youth conference which incorporates positive youth development practices to build life skills and increase youth leadership capacity. There are numerous examples in youth development literature of program models and associated outcomes. However, few studies have articulated which aspects of a conference contribute to the achievement of learning outcomes. By utilizing proven program evaluation methods, the achievement of learning outcomes was measured during both formal and informal conference sessions.

  17. Learned predictiveness and outcome predictability effects are not simply two sides of the same coin.

    Science.gov (United States)

    Thorwart, Anna; Livesey, Evan J; Wilhelm, Francisco; Liu, Wei; Lachnit, Harald

    2017-10-01

    The Learned Predictiveness effect refers to the observation that learning about the relationship between a cue and an outcome is influenced by the predictive relevance of the cue for other outcomes. Similarly, the Outcome Predictability effect refers to a recent observation that the previous predictability of an outcome affects learning about this outcome in new situations, too. We hypothesize that both effects may be two manifestations of the same phenomenon and stimuli that have been involved in highly predictive relationships may be learned about faster when they are involved in new relationships regardless of their functional role in predictive learning as cues and outcomes. Four experiments manipulated both the relationships and the function of the stimuli. While we were able to replicate the standard effects, they did not survive a transfer to situations where the functional role of the stimuli changed, that is the outcome of the first phase becomes a cue in the second learning phase or the cue of the first phase becomes the outcome of the second phase. Furthermore, unlike learned predictiveness, there was little indication that the distribution of overt attention in the second phase was influenced by previous predictability. The results suggest that these 2 very similar effects are not manifestations of a more general phenomenon but rather independent from each other. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  18. Application of active learning modalities to achieve medical genetics competencies and their learning outcome assessments.

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    Hagiwara, Nobuko

    2017-01-01

    The steadily falling costs of genome sequencing, coupled with the growing number of genetic tests with proven clinical validity, have made the use of genetic testing more common in clinical practice. This development has necessitated nongeneticist physicians, especially primary care physicians, to become more responsible for assessing genetic risks for their patients. Providing undergraduate medical students a solid foundation in genomic medicine, therefore, has become all the more important to ensure the readiness of future physicians in applying genomic medicine to their patient care. In order to further enhance the effectiveness of instructing practical skills in medical genetics, the emphasis of active learning modules in genetics curriculum at medical schools has increased in recent years. This is because of the general acceptance of a better efficacy of active learner-centered pedagogy over passive lecturer-centered pedagogy. However, an objective standard to evaluate students' skill levels in genomic medicine achieved by active learning is currently missing. Recently, entrustable professional activities (EPAs) in genomic medicine have been proposed as a framework for developing physician competencies in genomic medicine. EPAs in genomic medicine provide a convenient guideline for not only developing genomic medicine curriculum but also assessing students' competency levels in practicing genomic medicine. In this review, the efficacy of different types of active learning modules reported for medical genetics curricula is discussed using EPAs in genomic medicine as a common evaluation standard for modules' learning outcomes. The utility of the EPAs in genomic medicine for designing active learning modules in undergraduate medical genetics curricula is also discussed.

  19. Long-term outcome of major depressive disorder in psychiatric patients is variable.

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    Holma, K Mikael; Holma, Irina A K; Melartin, Tarja K; Rytsälä, Heikki J; Isometsä, Erkki T

    2008-02-01

    The prevailing view of outcome of major depressive disorder (MDD), based on mostly inpatient cohorts sampled from tertiary centers, emphasizes chronicity and frequent recurrences. We investigated the long-term outcome of a regionally representative psychiatric MDD cohort comprising mainly outpatients. The Vantaa Depression Study included 163 patients with DSM-IV MDD (71.5% of those eligible) diagnosed using structured and semistructured interviews and followed up at 6 months, 18 months, and 5 years with a life chart between February 1, 1997, and April 30, 2004. The effects of comorbid disorders and other predictors on outcome were comprehensively investigated. Over the 5-year follow-up, 98.8% of patients achieved a symptom state below major depressive episode (MDE) criteria, and 88.4% reached full remission, with the median time to full remission being 11.0 months. Nearly one third (29.3%) had no recurrences, whereas 30.0% experienced 1, 12.9% experienced 2, and 27.9% experienced 3 or more recurrences. Preceding dysthymic disorder (p = .028), cluster C personality disorder (p = .041), and longer MDE duration prior to entry (p = .011) were the most significant predictors of longer time in achieving full remission. Severity of MDD and comorbidity, especially social phobia, predicted probability of, shorter time to, and number of recurrences. Previous literature on mostly inpatient MDD may have, by generalizing from patients with the most severe psychopathology, overemphasized chronicity of MDD. The long-term outcome of MDD in psychiatric care is variable, with about one tenth of patients having poor, one third having intermediate, and one half having favorable outcomes. In addition to known predictors, cluster C personality disorders and social phobia warrant further attention as predictors of MDD outcome among outpatients.

  20. A Particle Swarm Optimization Variant with an Inner Variable Learning Strategy

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    Guohua Wu

    2014-01-01

    Full Text Available Although Particle Swarm Optimization (PSO has demonstrated competitive performance in solving global optimization problems, it exhibits some limitations when dealing with optimization problems with high dimensionality and complex landscape. In this paper, we integrate some problem-oriented knowledge into the design of a certain PSO variant. The resulting novel PSO algorithm with an inner variable learning strategy (PSO-IVL is particularly efficient for optimizing functions with symmetric variables. Symmetric variables of the optimized function have to satisfy a certain quantitative relation. Based on this knowledge, the inner variable learning (IVL strategy helps the particle to inspect the relation among its inner variables, determine the exemplar variable for all other variables, and then make each variable learn from the exemplar variable in terms of their quantitative relations. In addition, we design a new trap detection and jumping out strategy to help particles escape from local optima. The trap detection operation is employed at the level of individual particles whereas the trap jumping out strategy is adaptive in its nature. Experimental simulations completed for some representative optimization functions demonstrate the excellent performance of PSO-IVL. The effectiveness of the PSO-IVL stresses a usefulness of augmenting evolutionary algorithms by problem-oriented domain knowledge.

  1. Perceived match or mismatch on the Gottman conflict styles: associations with relationship outcome variables.

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    Busby, Dean M; Holman, Thomas B

    2009-12-01

    Gottman has proposed that there are 3 functional styles of conflict management in couple relationships, labeled Avoidant, Validating, and Volatile, and 1 dysfunctional style, labeled Hostile. Using a sample of 1,983 couples in a committed relationship, we test the association of perceived matches or mismatches on these conflict styles with relationship outcome variables. The results indicate that 32% of the participants perceive there is a mismatch with their conflict style and that of their partner. The Volatile-Avoidant mismatch was particularly problematic and was associated with more stonewalling, relationship problems, and lower levels of relationship satisfaction and stability than the Validating matched style and than other mismatched styles. The most problematic style was the Hostile style. Contrary to existing assumptions by Gottman, the 3 matched functional styles were not equivalent, as the Validating Style was associated with substantially better results on relationship outcome measures than the Volatile and Avoidant styles.

  2. A Meta-Analysis of Educational Data Mining on Improvements in Learning Outcomes

    Science.gov (United States)

    AlShammari, Iqbal A.; Aldhafiri, Mohammed D.; Al-Shammari, Zaid

    2013-01-01

    A meta-synthesis study was conducted of 60 research studies on educational data mining (EDM) and their impacts on and outcomes for improving learning outcomes. After an overview, an examination of these outcomes is provided (Romero, Ventura, Espejo, & Hervas, 2008; Romero, "et al.", 2011). Then, a review of other EDM-related research…

  3. Learning outcomes and tutoring in problem based-learning: how do undergraduate medical students perceive them?

    Science.gov (United States)

    AlHaqwi, Ali I

    2014-04-01

    To explore opinions of undergraduate medical students regarding learning outcomes of the instructional strategy of Problem Based Learning (PBL). In addition their views were sought about the role of tutors and qualities of effective tutors. This was a cross-sectional, questionnaire based study which was conducted in two colleges of Medicine, Central region, Saudi Arabia during the period of 1st of April to 30(th) June 2012. One hundred seventy four undergraduate medical students participated in this study. Seventy percent of participants have indicated that PBL strategy contributed to the development of their knowledge, presentation skills, team work abilities, and accepting criticism from other colleagues. Regarding the tutors' role in PBL tutorials, majority of the participants (75%) indicated that this role is essential, nevertheless, only 58% of students indicated that this role is clear and well identified. Sixty three percent of participants preferred a member role in the PBL tutorials and 80 percent of participants preferred both content and process expert tutors in the PBL tutorials. Significant statistical difference was noted between the views of students and their schools, gender, and study phase. Majority of the participants believed that PBL had a positive impact on the development of their cognitive, personal and teamwork skills. The view of the students in this study and the available evidence suggest that tutor should have both qualities; content and process expertise, in order to have the best outcomes from the PBL tutorials.

  4. Stakeholder Perceptions, Learning Opportunities, and Student Outcomes in Three Clinical Learning Models.

    Science.gov (United States)

    Hendricks, Susan; DeMeester, Deborah; Stephenson, Evelyn; Welch, Janet

    2016-05-01

    Understanding the strengths and challenges of various clinical models is important for nursing education. Three long-standing clinical models (preceptored, hybrid, and traditional) were compared on several outcome measures related to satisfaction, learning opportunities, and student outcomes. Students, faculty, and preceptors participated in this study. Although no differences were noted in satisfaction or standardized examination scores, students in the preceptored clinical model were able to practice more psychomotor skills. Although participants in the preceptored model reported spending more time communicating with staff nurses than did those in the other models, students in the traditional model spent more time with faculty. No differences were noted among groups in student clinical observation time. All clinical learning models were focused on how clinical time was structured, without an emphasis on how faculty and preceptors work with students to develop nursing clinical reasoning skills. Identifying methodology to impact thinking in the clinical environment is a key next step. [J Nurs Educ. 2016;55(5):271-277.]. Copyright 2016, SLACK Incorporated.

  5. The Implementation of Discovery Learning Method to Increase Learning Outcomes and Motivation of Student in Senior High School

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    Nanda Saridewi

    2017-11-01

    Full Text Available Based on data from the observation of high school students grade XI that daily low student test scores due to a lack of role of students in the learning process. This classroom action research aims to improve learning outcomes and student motivation through discovery learning method in colloidal material. This study uses the approach developed by Lewin consisting of planning, action, observation, and reflection. Data collection techniques used the questionnaires and ability tests end. Based on the research that results for students received a positive influence on learning by discovery learning model by increasing the average value of 74 students from the first cycle to 90.3 in the second cycle and increased student motivation in the form of two statements based competence (KD categories (sometimes on the first cycle and the first statement KD category in the second cycle. Thus the results of this study can be used to improve learning outcomes and student motivation

  6. Incorporating Meaningful Gamification in a Blended Learning Research Methods Class: Examining Student Learning, Engagement, and Affective Outcomes

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    Tan, Meng; Hew, Khe Foon

    2016-01-01

    In this study, we investigated how the use of meaningful gamification affects student learning, engagement, and affective outcomes in a short, 3-day blended learning research methods class using a combination of experimental and qualitative research methods. Twenty-two postgraduates were randomly split into two groups taught by the same…

  7. Predicting language outcomes for children learning AAC: Child and environmental factors

    Science.gov (United States)

    Brady, Nancy C.; Thiemann-Bourque, Kathy; Fleming, Kandace; Matthews, Kris

    2014-01-01

    Purpose To investigate a model of language development for nonverbal preschool age children learning to communicate with AAC. Method Ninety-three preschool children with intellectual disabilities were assessed at Time 1, and 82 of these children were assessed one year later at Time 2. The outcome variable was the number of different words the children produced (with speech, sign or SGD). Children’s intrinsic predictor for language was modeled as a latent variable consisting of cognitive development, comprehension, play, and nonverbal communication complexity. Adult input at school and home, and amount of AAC instruction were proposed mediators of vocabulary acquisition. Results A confirmatory factor analysis revealed that measures converged as a coherent construct and an SEM model indicated that the intrinsic child predictor construct predicted different words children produced. The amount of input received at home but not at school was a significant mediator. Conclusions Our hypothesized model accurately reflected a latent construct of Intrinsic Symbolic Factor (ISF). Children who evidenced higher initial levels of ISF and more adult input at home produced more words one year later. Findings support the need to assess multiple child variables, and suggest interventions directed to the indicators of ISF and input. PMID:23785187

  8. Applying a Hybrid Model: Can It Enhance Student Learning Outcomes?

    Science.gov (United States)

    Potter, Jodi

    2015-01-01

    There has been a marked increase in the use of online learning over the past decade. There remains conflict in the current body of research on the efficacy of online versus face to face learning in these environments. One resolution of these issues is the hybrid learning option which is a combination of face-to-face classroom instruction with…

  9. Predicting Refractive Surgery Outcome: Machine Learning Approach With Big Data.

    Science.gov (United States)

    Achiron, Asaf; Gur, Zvi; Aviv, Uri; Hilely, Assaf; Mimouni, Michael; Karmona, Lily; Rokach, Lior; Kaiserman, Igor

    2017-09-01

    To develop a decision forest for prediction of laser refractive surgery outcome. Data from consecutive cases of patients who underwent LASIK or photorefractive surgeries during a 12-year period in a single center were assembled into a single dataset. Training of machine-learning classifiers and testing were performed with a statistical classifier algorithm. The decision forest was created by feature vectors extracted from 17,592 cases and 38 clinical parameters for each patient. A 10-fold cross-validation procedure was applied to estimate the predictive value of the decision forest when applied to new patients. Analysis included patients younger than 40 years who were not treated for monovision. Efficacy of 0.7 or greater and 0.8 or greater was achieved in 16,198 (92.0%) and 14,945 (84.9%) eyes, respectively. Efficacy of less than 0.4 and less than 0.5 was achieved in 322 (1.8%) and 506 (2.9%) eyes, respectively. Patients in the low efficacy group (differences compared with the high efficacy group (≥ 0.8), yet were clinically similar (mean differences between groups of 0.7 years, of 0.43 mm in pupil size, of 0.11 D in cylinder, of 0.22 logMAR in preoperative CDVA, of 0.11 mm in optical zone size, of 1.03 D in actual sphere treatment, and of 0.64 D in actual cylinder treatment). The preoperative subjective CDVA had the highest gain (most important to the model). Correlations analysis revealed significantly decreased efficacy with increased age (r = -0.67, P big data from refractive surgeries may be of interest. [J Refract Surg. 2017;33(9):592-597.]. Copyright 2017, SLACK Incorporated.

  10. The role of socio-cognitive variables in predicting learning satisfaction in smart schools

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    Mohammad Reza Firoozi

    2017-03-01

    Full Text Available The present study aimed to investigate the role of Socio-Cognitive variables in predicting learning satisfaction in Smart Schools. The population was all the primary school students studying in smart schools in the city of Shiraz in the school year 2014-2015. The sample, randomly chosen through multi-stage cluster sampling, was 383 primary school students studying in smart schools in Shiraz. The instruments were the Computer Self-Efficiency Questionnaire developed by Torkzadeh (2003, Performance Expectation Questionnaire developed by Compeau and Higgins (1995, System Functionality and Content Feature Questionnaire developed by Pituch and Lee (2006, Interaction Questionnaire developed by Johnston, Killion and Oomen (2005, Learning Climate Questionnaire developed by Chou` and Liu (2005 and Learning Satisfaction Questionnaire developed by Chou and Liu (2005. In order to determine the possible relationship between variables and to predict the changes in the degree of satisfaction, we made use of correlational procedures and step-wise regression analysis. The results indicated that all the socio-cognitive variables have a positive and significant correlation with learning satisfaction. Out of the socio-cognitive variables in question, Computer Self-Efficiency, Performance Expectation and Learning Climate significantly explained 53% of the variance of learning satisfaction.

  11. The Role of Socio-Cognitive Variables in Predicting Learning Satisfaction in Smart Schools

    Directory of Open Access Journals (Sweden)

    Mohammad Reza FIROOZI

    2017-03-01

    Full Text Available The present study aimed to investigate the role of Socio-Cognitive variables in predicting learning satisfaction in Smart Schools. The population was all the primary school students studying in smart schools in the city of Shiraz in the school year 2014-2015. The sample, randomly chosen through multi-stage cluster sampling, was 383 primary school students studying in smart schools in Shiraz. The instruments were the Computer Self-Efficiency Questionnaire developed by Torkzadeh (2003, Performance Expectation Questionnaire developed by Compeau and Higgins (1995, System Functionality and Content Feature Questionnaire developed by Pituch and Lee (2006, Interaction Questionnaire developed by Johnston, Killion and Oomen (2005, Learning Climate Questionnaire developed by Chou` and Liu (2005 and Learning Satisfaction Questionnaire developed by Chou and Liu (2005. In order to determine the possible relationship between variables and to predict the changes in the degree of satisfaction, we made use of correlational procedures and step-wise regression analysis. The results indicated that all the socio-cognitive variables have a positive and significant correlation with learning satisfaction. Out of the socio-cognitive variables in question, Computer Self-Efficiency, Performance Expectation and Learning Climate significantly explained 53% of the variance of learning satisfaction.

  12. Accuracy of latent-variable estimation in Bayesian semi-supervised learning.

    Science.gov (United States)

    Yamazaki, Keisuke

    2015-09-01

    Hierarchical probabilistic models, such as Gaussian mixture models, are widely used for unsupervised learning tasks. These models consist of observable and latent variables, which represent the observable data and the underlying data-generation process, respectively. Unsupervised learning tasks, such as cluster analysis, are regarded as estimations of latent variables based on the observable ones. The estimation of latent variables in semi-supervised learning, where some labels are observed, will be more precise than that in unsupervised, and one of the concerns is to clarify the effect of the labeled data. However, there has not been sufficient theoretical analysis of the accuracy of the estimation of latent variables. In a previous study, a distribution-based error function was formulated, and its asymptotic form was calculated for unsupervised learning with generative models. It has been shown that, for the estimation of latent variables, the Bayes method is more accurate than the maximum-likelihood method. The present paper reveals the asymptotic forms of the error function in Bayesian semi-supervised learning for both discriminative and generative models. The results show that the generative model, which uses all of the given data, performs better when the model is well specified. Copyright © 2015 Elsevier Ltd. All rights reserved.

  13. Being Nontraditional and Learning Online: Assessing the Psychosocial Learning Environments, Self-Efficacy, and Affective Outcomes among College Student Groups

    Science.gov (United States)

    Ashford, Roslyn La'Toya

    2014-01-01

    The study compared traditional and nontraditional students' attitudes about the psychosocial learning environment and their influence on self-efficacy, enjoyment of online learning, and student satisfaction by using Moos' (1979) Model of Environmental and Personal Variables and the three dimensions of social climate as its theoretical framework.…

  14. Exploration of joint redundancy but not task space variability facilitates supervised motor learning.

    Science.gov (United States)

    Singh, Puneet; Jana, Sumitash; Ghosal, Ashitava; Murthy, Aditya

    2016-12-13

    The number of joints and muscles in a human arm is more than what is required for reaching to a desired point in 3D space. Although previous studies have emphasized how such redundancy and the associated flexibility may play an important role in path planning, control of noise, and optimization of motion, whether and how redundancy might promote motor learning has not been investigated. In this work, we quantify redundancy space and investigate its significance and effect on motor learning. We propose that a larger redundancy space leads to faster learning across subjects. We observed this pattern in subjects learning novel kinematics (visuomotor adaptation) and dynamics (force-field adaptation). Interestingly, we also observed differences in the redundancy space between the dominant hand and nondominant hand that explained differences in the learning of dynamics. Taken together, these results provide support for the hypothesis that redundancy aids in motor learning and that the redundant component of motor variability is not noise.

  15. Diastolic blood pressure variability in 24 hour-ABPM and outcomes of chronic kidney disease
.

    Science.gov (United States)

    Sahutoglu, Tuncay; Sakaci, Tamer

    2018-04-10

    Blood pressure variability (BPV) has been associated with increased morbidity and mortality. There are a few studies that reported worse outcomes of chronic kidney disease (CKD) with greater visit-to-visit BPV (VVV), but data with ambulatory blood pressure monitoring (ABPM) is scarce. Ambulatory hypertensive CKD (stage 2 - 4) patients (> 18 years old) with complete 24 hours of ABPM study (SpaceLabs), who were followed up between January 2012 and December 2016, were retrospectively analyzed for the baseline characteristics and outcomes of CKD. Coefficient of variation (CV) in diastolic blood pressure (DBP) was used as an index of BPV. Data of 191 patients (mean age 59.7 ± 12.4 years, 54.9% males, 42.1% diabetic, mean eGFR-EPI (Chronic Kidney Disease Epidemiology Collaboration) 51.7 ± 22.0 mL/min/1.73m2, mean follow-up 26.2 ± 10.4 months) were available for the analysis. On multivariate linear regression analysis, greater DBP-CV was associated with slower decline in eGFR-EPI per year (B -0.648, p = 0.000). Likewise, the hazard ratio (HR) for dialysis inception (occurred in 9.4%) was found significantly lower with increasing DBP-CV in unadjusted and fully adjusted Cox models (HR 0.730, 95% CI 0.618 - 0.861, p = 0.000, and HR 0.678, 95% CI 0.526 - 0.874, p = 0.003, respectively). These findings suggest that DBP variability in 24-hour ABPM may be a good prognostic factor for the outcomes of CKD. Further studies are needed to determine the impact of 24-hour ABPM BPV on CKD progression and its differences from VVV.
.

  16. Scrub typhus in South India: clinical and laboratory manifestations, genetic variability, and outcome.

    Science.gov (United States)

    Varghese, George M; Janardhanan, Jeshina; Trowbridge, Paul; Peter, John V; Prakash, John A J; Sathyendra, Sowmya; Thomas, Kurien; David, Thambu S; Kavitha, M L; Abraham, Ooriapadickal C; Mathai, Dilip

    2013-11-01

    This study sought to document the clinical and laboratory manifestations, genetic variability, and outcomes of scrub typhus, an often severe infection caused by Orientia tsutsugamushi, in South India. Patients admitted to a large teaching hospital with IgM ELISA-confirmed scrub typhus were evaluated. Clinical examination with a thorough search for an eschar, laboratory testing, chest X-ray, and outcome were documented and analyzed. Additionally, a 410-bp region of the 56-kDa type-specific antigen gene of O. tsutsugamushi was sequenced and compared with isolates from other regions of Asia. Most of the 154 patients evaluated presented with fever and non-specific symptoms. An eschar was found in 86 (55%) patients. Mild hepatic involvement was seen in most, with other organ involvement including respiratory, cardiovascular, and renal. Multi-organ dysfunction was noted in 59 (38.3%), and the fatality rate was 7.8%. Hypotension requiring vasoactive agents was found to be an independent predictor of mortality (p<0.001). The phylogeny of 26 samples showed 17 (65%) clustering with the Kato-like group and eight (31%) with the Karp-like group. The presentation of scrub typhus can be variable, often non-specific, but with potentially severe multi-organ dysfunction. Prompt recognition is key to specific treatment and good outcomes. Further study of the circulating strains is essential for the development of a successful vaccine and sensitive point-of-care testing. Copyright © 2013 International Society for Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

  17. High Intrapatient Variability of Tacrolimus Levels and Outpatient Clinic Nonattendance Are Associated With Inferior Outcomes in Renal Transplant Patients

    Directory of Open Access Journals (Sweden)

    Dawn L. Goodall, MSc

    2017-08-01

    Conclusions. This study shows that high tacrolimus IPV and clinic nonattendance are associated with inferior allograft survival. Interventions to minimize the causes of high variability, particularly nonadherence are essential to improve long-term allograft outcomes.

  18. Intraindividual variability in reaction time predicts cognitive outcomes 5 years later.

    Science.gov (United States)

    Bielak, Allison A M; Hultsch, David F; Strauss, Esther; Macdonald, Stuart W S; Hunter, Michael A

    2010-11-01

    Building on results suggesting that intraindividual variability in reaction time (inconsistency) is highly sensitive to even subtle changes in cognitive ability, this study addressed the capacity of inconsistency to predict change in cognitive status (i.e., cognitive impairment, no dementia [CIND] classification) and attrition 5 years later. Two hundred twelve community-dwelling older adults, initially aged 64-92 years, remained in the study after 5 years. Inconsistency was calculated from baseline reaction time performance. Participants were assigned to groups on the basis of their fluctuations in CIND classification over time. Logistic and Cox regressions were used. Baseline inconsistency significantly distinguished among those who remained or transitioned into CIND over the 5 years and those who were consistently intact (e.g., stable intact vs. stable CIND, Wald (1) = 7.91, p < .01, Exp(β) = 1.49). Average level of inconsistency over time was also predictive of study attrition, for example, Wald (1) = 11.31, p < .01, Exp(β) = 1.24. For both outcomes, greater inconsistency was associated with a greater likelihood of being in a maladaptive group 5 years later. Variability based on moderately cognitively challenging tasks appeared to be particularly sensitive to longitudinal changes in cognitive ability. Mean rate of responding was a comparable predictor of change in most instances, but individuals were at greater relative risk of being in a maladaptive outcome group if they were more inconsistent rather than if they were slower in responding. Implications for the potential utility of intraindividual variability in reaction time as an early marker of cognitive decline are discussed. (c) 2010 APA, all rights reserved

  19. Scaling prediction errors to reward variability benefits error-driven learning in humans.

    Science.gov (United States)

    Diederen, Kelly M J; Schultz, Wolfram

    2015-09-01

    Effective error-driven learning requires individuals to adapt learning to environmental reward variability. The adaptive mechanism may involve decays in learning rate across subsequent trials, as shown previously, and rescaling of reward prediction errors. The present study investigated the influence of prediction error scaling and, in particular, the consequences for learning performance. Participants explicitly predicted reward magnitudes that were drawn from different probability distributions with specific standard deviations. By fitting the data with reinforcement learning models, we found scaling of prediction errors, in addition to the learning rate decay shown previously. Importantly, the prediction error scaling was closely related to learning performance, defined as accuracy in predicting the mean of reward distributions, across individual participants. In addition, participants who scaled prediction errors relative to standard deviation also presented with more similar performance for different standard deviations, indicating that increases in standard deviation did not substantially decrease "adapters'" accuracy in predicting the means of reward distributions. However, exaggerated scaling beyond the standard deviation resulted in impaired performance. Thus efficient adaptation makes learning more robust to changing variability. Copyright © 2015 the American Physiological Society.

  20. The Effect of Learning Type and Avatar Similarity on Learning Outcomes in Educational Video Games

    Science.gov (United States)

    Lewis, Melissa L.

    2009-01-01

    Two theories guide two very different ideas about learning. Social cognitive theory (Bandura, 1977, 1989) places the greater emphasis on observational learning, or learning by watching a model produce a behavior before doing it oneself. Other researchers purport that experiential learning, or learning by doing, results in stronger learning (Kolb,…

  1. The Impacts of Demographic Variables on Technological and Contextual Challenges of E-learning Implementation

    Science.gov (United States)

    Aldowah, Hanan; Ghazal, Samar; Naufal Umar, Irfan; Muniandy, Balakrishnan

    2017-09-01

    Information technology has achieved robust growth which has made it possible for learning to occur quickly. The rapid development of information, communication and technologies (ICT) has initiated an unparalleled transformation in universities all over the world. This development of technology and learning is offering new techniques to represent knowledge, new practices, and new global communities of learners. As a result, today’s economic and social changes force universities to try to find new learning approaches and systems. E-learning seems to be an appropriate approach in this aspect. However, the implementation of e-learning systems in universities is not an easy task because of some challenges related to context, technology, and other challenges. This paper studied the impacts of demographic data and reported the critical points for the decision makers to consider when planning and implementing e-learning in universities. A quantitative approach was used to study the effects of technological and contextual challenges on e-learning implementation in which a questionnaire was used for the data collection. According to the findings of the study, the most important challenges of the implementation of e-learning are related either to organizational (Contextual) and technological (technical) issues. The demographic variables have been found to play a direct and indirect role with the technological and contextual challenges of implementing e-learning. This paper showed that there are some significant differences in the two challenges faced by instructors in terms of the demographic variables. The result revealed that some significant differences exist between demographic variables and the two challenges of e-learning in terms of gender, age, teaching experience, ICT experience and e-learning experience. However, there is no significant difference in terms of e-learning experience. The obtained data, from such study, can provide information about what academic

  2. 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.

  3. Variable sleep schedules and outcomes in children with psychopathological problems: preliminary observations

    Directory of Open Access Journals (Sweden)

    Spruyt K

    2012-02-01

    Full Text Available Karen Spruyt1, Danielle L Raubuck2, Katie Grogan2, David Gozal1, Mark A Stein21Department of Pediatrics and Comer Children’s Hospital, Pritzker School of Medicine, University of Chicago, Chicago, IL; 2Institute for Juvenile Research, Hyperactivity and Learning Problems Clinic, University of Illinois at Chicago, Chicago, ILBackground: Night-to-night variability in sleep of children with attention deficit hyperactivity disorder (ADHD may be a mediator of behavioral phenotype. We examined the potential association between alertness, sleep, and eating behaviors in children with ADHD and comorbid problems.Methods: Sleep was monitored by actigraphy for 7 days. Questionnaires were used to assess sleep complaints, habits and food patterns by parental report, and sleep complaints and sleepiness by child report.Results: The group comprised 18 children, including 15 boys, aged 9.4 ± 1.7 years, 88.9% Caucasian, who took one or multiple medications. Children slept on average for 6 hours and 58 minutes with a variability of 1 hour 3 minutes relative to the mean, and their sleepiness scores were highly variable from day to day. Most children had a normal body mass index (BMI. Sleepiness and BMI were associated with sleep schedules and food patterns, such that they accounted for 76% of variance, predominantly by the association of BMI with mean wake after sleep onset and by bedtime sleepiness, with wake after sleep onset variability. Similarly, 97% of variance was shared with eating behaviors, such as desserts and snacks, and fast food meals were associated with morning sleepiness.Conclusion: Disrupted sleep and sleepiness appears to favor unhealthy food patterns and may place children with ADHD at increased risk for obesity.Keywords: sleep, child, attention deficit hyperactivity disorder, actigraphy

  4. A review of assertions about the processes and outcomes of social learning in natural resource management.

    Science.gov (United States)

    Cundill, G; Rodela, R

    2012-12-30

    Social learning has become a central theme in natural resource management. This growing interest is underpinned by a number of assertions about the outcomes of social learning, and about the processes that support these outcomes. Yet researchers and practitioners who seek to engage with social learning through the natural resource management literature often become disorientated by the myriad processes and outcomes that are identified. We trace the roots of current assertions about the processes and outcomes of social learning in natural resource management, and assess the extent to which there is an emerging consensus on these assertions. Results suggest that, on the one hand, social learning is described as taking place through deliberative interactions amongst multiple stakeholders. During these interactions, it is argued that participants learn to work together and build relationships that allow for collective action. On the other hand, social learning is described as occurring through deliberate experimentation and reflective practice. During these iterative cycles of action, monitoring and reflection, participants learn how to cope with uncertainty when managing complex systems. Both of these processes, and their associated outcomes, are referred to as social learning. Where, therefore, should researchers and practitioners focus their attention? Results suggest that there is an emerging consensus that processes that support social learning involve sustained interaction between stakeholders, on-going deliberation and the sharing of knowledge in a trusting environment. There is also an emerging consensus that the key outcome of such learning is improved decision making underpinned by a growing awareness of human-environment interactions, better relationships and improved problem-solving capacities for participants. Copyright © 2012 Elsevier Ltd. All rights reserved.

  5. Children's Learning in Scientific Thinking: Instructional Approaches and Roles of Variable Identification and Executive Function

    Science.gov (United States)

    Blums, Angela

    The present study examines instructional approaches and cognitive factors involved in elementary school children's thinking and learning the Control of Variables Strategy (CVS), a critical aspect of scientific reasoning. Previous research has identified several features related to effective instruction of CVS, including using a guided learning approach, the use of self-reflective questions, and learning in individual and group contexts. The current study examined the roles of procedural and conceptual instruction in learning CVS and investigated the role of executive function in the learning process. Additionally, this study examined how learning to identify variables is a part of the CVS process. In two studies (individual and classroom experiments), 139 third, fourth, and fifth grade students participated in hands-on and paper and pencil CVS learning activities and, in each study, were assigned to either a procedural instruction, conceptual instruction, or control (no instruction) group. Participants also completed a series of executive function tasks. The study was carried out with two parts--Study 1 used an individual context and Study 2 was carried out in a group setting. Results indicated that procedural and conceptual instruction were more effective than no instruction, and the ability to identify variables was identified as a key piece to the CVS process. Executive function predicted ability to identify variables and predicted success on CVS tasks. Developmental differences were present, in that older children outperformed younger children on CVS tasks, and that conceptual instruction was slightly more effective for older children. Some differences between individual and group instruction were found, with those in the individual context showing some advantage over the those in the group setting in learning CVS concepts. Conceptual implications about scientific thinking and practical implications in science education are discussed.

  6. Deep learning for tissue microarray image-based outcome prediction in patients with colorectal cancer

    Science.gov (United States)

    Bychkov, Dmitrii; Turkki, Riku; Haglund, Caj; Linder, Nina; Lundin, Johan

    2016-03-01

    Recent advances in computer vision enable increasingly accurate automated pattern classification. In the current study we evaluate whether a convolutional neural network (CNN) can be trained to predict disease outcome in patients with colorectal cancer based on images of tumor tissue microarray samples. We compare the prognostic accuracy of CNN features extracted from the whole, unsegmented tissue microarray spot image, with that of CNN features extracted from the epithelial and non-epithelial compartments, respectively. The prognostic accuracy of visually assessed histologic grade is used as a reference. The image data set consists of digitized hematoxylin-eosin (H and E) stained tissue microarray samples obtained from 180 patients with colorectal cancer. The patient samples represent a variety of histological grades, have data available on a series of clinicopathological variables including long-term outcome and ground truth annotations performed by experts. The CNN features extracted from images of the epithelial tissue compartment significantly predicted outcome (hazard ratio (HR) 2.08; CI95% 1.04-4.16; area under the curve (AUC) 0.66) in a test set of 60 patients, as compared to the CNN features extracted from unsegmented images (HR 1.67; CI95% 0.84-3.31, AUC 0.57) and visually assessed histologic grade (HR 1.96; CI95% 0.99-3.88, AUC 0.61). As a conclusion, a deep-learning classifier can be trained to predict outcome of colorectal cancer based on images of H and E stained tissue microarray samples and the CNN features extracted from the epithelial compartment only resulted in a prognostic discrimination comparable to that of visually determined histologic grade.

  7. Variability in Dopamine Genes Dissociates Model-Based and Model-Free Reinforcement Learning.

    Science.gov (United States)

    Doll, Bradley B; Bath, Kevin G; Daw, Nathaniel D; Frank, Michael J

    2016-01-27

    Considerable evidence suggests that multiple learning systems can drive behavior. Choice can proceed reflexively from previous actions and their associated outcomes, as captured by "model-free" learning algorithms, or flexibly from prospective consideration of outcomes that might occur, as captured by "model-based" learning algorithms. However, differential contributions of dopamine to these systems are poorly understood. Dopamine is widely thought to support model-free learning by modulating plasticity in striatum. Model-based learning may also be affected by these striatal effects, or by other dopaminergic effects elsewhere, notably on prefrontal working memory function. Indeed, prominent demonstrations linking striatal dopamine to putatively model-free learning did not rule out model-based effects, whereas other studies have reported dopaminergic modulation of verifiably model-based learning, but without distinguishing a prefrontal versus striatal locus. To clarify the relationships between dopamine, neural systems, and learning strategies, we combine a genetic association approach in humans with two well-studied reinforcement learning tasks: one isolating model-based from model-free behavior and the other sensitive to key aspects of striatal plasticity. Prefrontal function was indexed by a polymorphism in the COMT gene, differences of which reflect dopamine levels in the prefrontal cortex. This polymorphism has been associated with differences in prefrontal activity and working memory. Striatal function was indexed by a gene coding for DARPP-32, which is densely expressed in the striatum where it is necessary for synaptic plasticity. We found evidence for our hypothesis that variations in prefrontal dopamine relate to model-based learning, whereas variations in striatal dopamine function relate to model-free learning. Decisions can stem reflexively from their previously associated outcomes or flexibly from deliberative consideration of potential choice outcomes

  8. Penalized regression procedures for variable selection in the potential outcomes framework.

    Science.gov (United States)

    Ghosh, Debashis; Zhu, Yeying; Coffman, Donna L

    2015-05-10

    A recent topic of much interest in causal inference is model selection. In this article, we describe a framework in which to consider penalized regression approaches to variable selection for causal effects. The framework leads to a simple 'impute, then select' class of procedures that is agnostic to the type of imputation algorithm as well as penalized regression used. It also clarifies how model selection involves a multivariate regression model for causal inference problems and that these methods can be applied for identifying subgroups in which treatment effects are homogeneous. Analogies and links with the literature on machine learning methods, missing data, and imputation are drawn. A difference least absolute shrinkage and selection operator algorithm is defined, along with its multiple imputation analogs. The procedures are illustrated using a well-known right-heart catheterization dataset. Copyright © 2015 John Wiley & Sons, Ltd.

  9. Emotion, cognitive load and learning outcomes during simulation training.

    Science.gov (United States)

    Fraser, Kristin; Ma, Irene; Teteris, Elise; Baxter, Heather; Wright, Bruce; McLaughlin, Kevin

    2012-11-01

    Simulation training has emerged as an effective way to complement clinical training of medical students. Yet outcomes from simulation training must be considered suboptimal when 25-30% of students fail to recognise a cardiac murmur on which they were trained 1 hour previously. There are several possible explanations for failure to improve following simulation training, which include the impact of heightened emotions on learning and cognitive overload caused by interactivity with high-fidelity simulators. This study was conducted to assess emotion during simulation training and to explore the relationships between emotion and cognitive load, and diagnostic performance. We trained 84 Year 1 medical students on a scenario of chest pain caused by symptomatic aortic stenosis. After training, students were asked to rate their emotional state and cognitive load. We then provided training on a dyspnoea scenario before asking participants to diagnose the murmur in which they had been trained (aortic stenosis) and a novel murmur (mitral regurgitation). We used factor analysis to identify the principal components of emotion, and then studied the associations between these components of emotion and cognitive load and diagnostic performance. We identified two principal components of emotion, which we felt represented invigoration and tranquillity. Both of these were associated with cognitive load with adjusted regression coefficients of 0.63 (95% confidence interval [CI] 0.28-0.99; p = 0.001) and - 0.44 (95% CI - 0.77 to - 0.10; p = 0.009), respectively. We found a significant negative association between cognitive load and the odds of subsequently identifying the trained murmur (odds ratio 0.27, 95% CI 0.11-0.67; p = 0.004). We found that increased invigoration and reduced tranquillity during simulation training were associated with increased cognitive load, and that the likelihood of correctly identifying a trained murmur declined with increasing cognitive load. Further

  10. Relations between student perceptions of assessment authenticity, study approaches and learning outcome

    NARCIS (Netherlands)

    Gulikers, J.T.M.; Bastiaens, Th.J.; Kirschner, P.A.; Kester, L.

    2006-01-01

    This article examines the relationships between perceptions of authenticity and alignment on study approach and learning outcome. Senior students of a vocational training program performed an authentic assessment and filled in a questionnaire about the authenticity of various assessment

  11. Comparing Learning Outcomes of Video-Based E-Learning with Face-to-Face Lectures of Agricultural Engineering Courses in Korean Agricultural High Schools

    Science.gov (United States)

    Park, Sung Youl; Kim, Soo-Wook; Cha, Seung-Bong; Nam, Min-Woo

    2014-01-01

    This study investigated the effectiveness of e-learning by comparing the learning outcomes in conventional face-to-face lectures and e-learning methods. Two video-based e-learning contents were developed based on the rapid prototyping model and loaded onto the learning management system (LMS), which was available at http://www.greenehrd.com.…

  12. The New Economy, Technology, and Learning Outcomes Assessment

    Science.gov (United States)

    Moore, Anne H.

    2007-01-01

    Many observers describe the 21st century as a complex age with new demands for education and new requirements for accountability in teaching and learning to meet society's needs in a new, global economy. At the same time, innovations in teaching and learning and proposals for measuring them often seem disconnected from public and political…

  13. Learning outcomes for communication skills across the health professions: a systematic literature review and qualitative synthesis.

    Science.gov (United States)

    Denniston, Charlotte; Molloy, Elizabeth; Nestel, Debra; Woodward-Kron, Robyn; Keating, Jennifer L

    2017-04-07

    The aim of this study was to identify and analyse communication skills learning outcomes via a systematic review and present results in a synthesised list. Summarised results inform educators and researchers in communication skills teaching and learning across health professions. Systematic review and qualitative synthesis. A systematic search of five databases (MEDLINE, PsycINFO, ERIC, CINAHL plus and Scopus), from first records until August 2016, identified published learning outcomes for communication skills in health professions education. Extracted data were analysed through an iterative process of qualitative synthesis. This process was guided by principles of person centredness and an a priori decision guide. 168 papers met the eligibility criteria; 1669 individual learning outcomes were extracted and refined using qualitative synthesis. A final refined set of 205 learning outcomes were constructed and are presented in 4 domains that include: (1) knowledge (eg, describe the importance of communication in healthcare), (2) content skills (eg, explore a healthcare seeker's motivation for seeking healthcare),( 3) process skills (eg, respond promptly to a communication partner's questions) and (4) perceptual skills (eg, reflect on own ways of expressing emotion). This study provides a list of 205 communication skills learning outcomes that provide a foundation for further research and educational design in communication education across the health professions. Areas for future investigation include greater patient involvement in communication skills education design and further identification of learning outcomes that target knowledge and perceptual skills. This work may also prompt educators to be cognisant of the quality and scope of the learning outcomes they design and their application as goals for learning. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  14. The impact of project-based learning on improving student learning outcomes of sustainability concepts in transportation engineering courses

    Science.gov (United States)

    Fini, Elham H.; Awadallah, Faisal; Parast, Mahour M.; Abu-Lebdeh, Taher

    2018-05-01

    This paper describes an intervention to enhance students' learning by involving students in brainstorming activities about sustainability concepts and their implications in transportation engineering. The paper discusses the process of incorporating the intervention into a transportation course, as well as the impact of this intervention on students' learning outcomes. To evaluate and compare students' learning as a result of the intervention, the Laboratory for Innovative Technology and Engineering Education survey instrument was used. The survey instrument includes five constructs: higher-order cognitive skills, self-efficacy, ease of learning subject matter, teamwork, and communication skills. Pre- and post-intervention surveys of student learning outcomes were conducted to determine the effectiveness of the intervention on enhancing students' learning outcomes. The results show that the implementation of the intervention significantly improved higher-order cognitive skills, self-efficacy, teamwork, and communication skills. Involving students in brainstorming activities related to sustainability concepts and their implications in transportation proved to be an effective teaching and learning strategy.

  15. Perceived learning outcome: the relationship between experience, realism and situation awareness during simulator training.

    Science.gov (United States)

    Saus, Evelyn-Rose; Johnsen, Bjørn Helge; Eid, Jarle

    2010-01-01

    Navigation errors are a frequent cause of serious accidents and work-related injuries among seafarers. The present study investigated the effects of experience, perceived realism, and situation awareness (SA) on the perceived learning outcome of simulator-based navigation training. Thirty-two Norwegian Navy officer cadets were assigned to a low and a high mental workload conditions based on previous educational and navigational experience. In the low mental workload condition, experience (negatively associated), perceived realism, and subjective SA explained almost half of the total variance in perceived learning outcome. A hierarchical regression analysis showed that only subjective SA made a unique contribution to the learning outcome. In the high mental workload condition, perceived realism and subjective SA together explained almost half of the variance in perceived learning outcome. Furthermore, both perceived realism and subjective SA were shown to make an independent contribution to perceived learning outcomes. The results of this study show that in order to enhance the learning outcomes from simulator training it is necessary to design training procedures and scenarios that enable students to achieve functional fidelity and to generate and maintain SA during training. This can further improve safety and reduce the risk of maritime disasters.

  16. Evolving Digital Divides in Information Literacy and Learning Outcomes: A BYOD Journey in a Scondary School

    Science.gov (United States)

    Adhikari, Janak; Scogings, Chris; Mathrani, Anuradha; Sofat, Indu

    2017-01-01

    Purpose: The purpose of this paper is to seek answers to questions on how equity of information literacy and learning outcomes have evolved with the ongoing advances in technologies in teaching and learning across schools. The authors' report on a five-year long bring your own device (BYOD) journey of one school, which was one of the earliest…

  17. Exploring Sex and Status Differences in Perceptions, Acceptance, and Outcomes in E- Learning

    Science.gov (United States)

    Kamali, Ali

    2016-01-01

    The integration of electronic technologies in teaching and learning has been a top priority in higher education. However, there is a great deal of controversy in the literature regarding its effectiveness. This bears the question, to what extent are the outcomes (e.g., the student success) in an e-learning environment comparable with that of a…

  18. Assuring Student Learning Outcomes Achievement through Faculty Development: An Online University Example

    Science.gov (United States)

    Lewis, Shelia; Ewing, Christopher

    2016-01-01

    Asynchronous discussions in the online teaching and learning environment significantly contributes to the achievement of student learning outcomes, which is dependent upon qualified and engaged faculty members. The discourse within this article addresses how an online university conducted faculty development through its unique Robust Learning…

  19. A Paradigm for Student Learning Outcome Assessment in Information Systems Education: Continuous Improvement or Chasing Rainbows?

    Science.gov (United States)

    Saulnier, Bruce

    2014-01-01

    A paradigm is presented for student learning outcome assessment in information systems education. Successful deployment of the paradigm is illustrated using the author's home institution. The paradigm is consistent with both the scholarship of teaching and learning and the scholarship of assessment. It is concluded that the deployment of the…

  20. Growth as Product and as Process: Student Learning Outcomes Attained through College Experiences in China

    Science.gov (United States)

    Cen, Yuhao

    2012-01-01

    Little empirical research has been done on student learning outcomes and college experiences in China, where the gross enrollment rate in higher education reached 26.5 percent and the undergraduate population exceeded 22 million in 2010. This study seeks to describe, explain, and interpret student learning as perceived from students in Chinese…

  1. How Do Social Networks Influence Learning Outcomes? A Case Study in an Industrial Setting

    Science.gov (United States)

    Maglajlic, Seid; Helic, Denis

    2012-01-01

    and Purpose: The purpose of this research is to shed light on the impact of implicit social networks to the learning outcome of e-learning participants in an industrial setting. Design/methodology/approach: The paper presents a theoretical framework that allows the authors to measure correlation coefficients between the different affiliations that…

  2. 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.…

  3. Learning Outcomes--A Useful Tool in Quality Assurance? Views from Academic Staff

    Science.gov (United States)

    Aamodt, Per Olaf; Frølich, Nicoline; Stensaker, Bjørn

    2018-01-01

    While the establishment of quality assurance has been seen for decades as the most significant instrument to secure and enhance the quality of teaching and learning in higher education, the concept of developing more specific learning outcomes has in recent years attracted much interest, not least due to the creation of national qualification…

  4. Exploring Service Learning Outcomes in Students: A Mixed Methods Study for Nursing

    Science.gov (United States)

    Martin, John F.

    2017-01-01

    This mixed methods study exploring student outcomes of service learning experiences is inter-disciplinary, near the intersection of higher education research, moral development, and nursing. The specific problem examined in this study is that service learning among university students is utilized by educators, but largely without a full…

  5. A Millennium Learning Goal for Education Post-2015: A Question of Outcomes or Processes

    Science.gov (United States)

    Barrett, Angeline M.

    2011-01-01

    As the target year for the current Millennium Development Goal of universal completion of primary education approaches, three World Bank economists have proposed its replacement with a Millennium Learning Goal. This is part of a trend of increased privileging of learning outcomes. The proposal is assessed from the perspective of human rights-based…

  6. Improving Learner Outcomes in Lifelong Education: Formal Pedagogies in Non-Formal Learning Contexts?

    Science.gov (United States)

    Zepke, Nick; Leach, Linda

    2006-01-01

    This article explores how far research findings about successful pedagogies in formal post-school education might be used in non-formal learning contexts--settings where learning may not lead to formal qualifications. It does this by examining a learner outcomes model adapted from a synthesis of research into retention. The article first…

  7. Collaborative teacher learning across foci of collaboration : perceived activities and outcomes

    NARCIS (Netherlands)

    Doppenberg, J.J.; Brok, den P.J.; Bakx, A.W.E.A.

    2012-01-01

    This study compared teacher collaboration with differing foci, in terms of various learning activities and learning outcomes. A total of 411 teachers from 49 primary schools participated by completing a questionnaire. Foci of collaboration explained significant differences in the frequency with

  8. A Study of Fifth Graders' Environmental Learning Outcomes in Taipei

    Science.gov (United States)

    Lai, Ching-San

    2018-01-01

    Environmental education has recently received much more attention than before among elementary school students' science learning in Taiwan. The major purpose of this study is to explore the learning outcomes on environmental education for 5th graders in Taipei. A quasi-experimental design with a single group was used in this study. Students in the…

  9. Cognitive Load Imposed by Ultrasound-Facilitated Teaching Does Not Adversely Affect Gross Anatomy Learning Outcomes

    Science.gov (United States)

    Jamniczky, Heather A.; Cotton, Darrel; Paget, Michael; Ramji, Qahir; Lenz, Ryan; McLaughlin, Kevin; Coderre, Sylvain; Ma, Irene W. Y.

    2017-01-01

    Ultrasonography is increasingly used in medical education, but its impact on learning outcomes is unclear. Adding ultrasound may facilitate learning, but may also potentially overwhelm novice learners. Based upon the framework of cognitive load theory, this study seeks to evaluate the relationship between cognitive load associated with using…

  10. PBL-GIS in Secondary Geography Education: Does It Result in Higher-Order Learning Outcomes?

    Science.gov (United States)

    Liu, Yan; Bui, Elisabeth N.; Chang, Chew-Hung; Lossman, Hans G.

    2010-01-01

    This article presents research on evaluating problem-based learning using GIS technology in a Singapore secondary school. A quasi-experimental research design was carried to test the PBL pedagogy (PBL-GIS) with an experimental group of students and compare their learning outcomes with a control group who were exposed to PBL but not GIS. The…

  11. Evaluating the Student Learning Outcomes Assessment Process in Undergraduate Parks and Recreation Academic Programs

    Science.gov (United States)

    Ross, Craig M.; Young, Sarah J.; Sturts, Jill R.

    2012-01-01

    Institutions of higher education are increasingly being held more accountable for assessing student learning both in and out of their classrooms along with reporting results to their stakeholders. The purpose of this study, which examined assessment of student learning outcomes in undergraduate park and recreation academic programs, was two-fold:…

  12. Do the Critical Success Factors from Learning Analytics Predict Student Outcomes?

    Science.gov (United States)

    Strang, Kenneth David

    2016-01-01

    This article starts with a detailed literature review of recent studies that focused on using learning analytics software or learning management system data to determine the nature of any relationships between online student activity and their academic outcomes within university-level business courses. The article then describes how data was…

  13. Associations of Subjective Immersion, Immersion Subfactors, and Learning Outcomes in the Revised Game Engagement Model

    Science.gov (United States)

    Barclay, Paul A.; Bowers, Clint

    2018-01-01

    Serious Educational Video Games (SEGs) play a large role in education for both children and adults. However, the budget for SEGs is typically lower than traditional entertainment video games, bringing with it the need to optimize the learning experience. This article looks at the role game immersion plays in improving learning outcomes, using the…

  14. Analysis of Traditional versus Three-Dimensional Augmented Curriculum on Anatomical Learning Outcome Measures

    Science.gov (United States)

    Peterson, Diana Coomes; Mlynarczyk, Gregory S.A.

    2016-01-01

    This study examined whether student learning outcome measures are influenced by the addition of three-dimensional and digital teaching tools to a traditional dissection and lecture learning format curricula. The study was performed in a semester long graduate level course that incorporated both gross anatomy and neuroanatomy curricula. Methods…

  15. Positive pregnancy outcomes in Mexican immigrants: what can we learn?

    Science.gov (United States)

    Page, Robin L

    2004-01-01

    To provide an integrated review of the literature of potential explanations for better than expected pregnancy outcomes in Mexican immigrants, focusing on socioeconomics, social support, desirability of pregnancy, nutrition, substance use, religion, acculturation, and prenatal care. Computerized searches of MEDLINE and CINAHL databases, as well as reference lists from published articles on low birth weight and prematurity in immigrants and acculturation in immigrants from January 1989 to December 2002. Search terms were Mexican immigrant women, childbearing, and pregnancy outcome, and only English-language articles were reviewed. Literature was selected from refereed publications in the areas of nursing, medicine, public health, family, and sociology. Data were extracted using keywords pertinent to pregnancy outcome in Mexican immigrants. Despite having many of the risk factors for poor pregnancy outcomes, Mexican immigrants have superior birth outcomes when compared to U.S.-born women. Social support, familism, healthy diet, limited use of cigarettes and alcohol, and religion may play a role in improved outcomes. The superior outcomes diminish with the process of acculturation as the individual adapts to her new culture. Low birth weight and prematurity are public health concerns in the United States. Through further study of the factors that lead to superior birth outcomes among Mexican immigrant women, rates of low birth weight and prematurity in the United States may be reduced.

  16. Learning Outcomes in Affective Domain within Contemporary Architectural Curricula

    Science.gov (United States)

    Savic, Marko; Kashef, Mohamad

    2013-01-01

    Contemporary architectural education has shifted from the traditional focus on providing students with specific knowledge and skill sets or "inputs" to outcome based, student-centred educational approach. Within the outcome based model, students' performance is assessed against measureable objectives that relate acquired knowledge…

  17. Learning outcomes afforded by self-assessed, segmented video–print combinations

    OpenAIRE

    Jack Koumi

    2015-01-01

    Learning affordances of video and print are examined in order to assess the learning outcomes afforded by hybrid video–print learning packages. The affordances discussed for print are: navigability, surveyability and legibility. Those discussed for video are: design for constructive reflection, provision of realistic experiences, presentational attributes, motivational influences and teacher personalisation. The video affordances are examined through a framework of pedagogic design principles...

  18. The television, school, and family smoking prevention and cessation project. VIII. Student outcomes and mediating variables.

    Science.gov (United States)

    Flay, B R; Miller, T Q; Hedeker, D; Siddiqui, O; Britton, C F; Brannon, B R; Johnson, C A; Hansen, W B; Sussman, S; Dent, C

    1995-01-01

    This paper presents the student outcomes of a large-scale, social-influences-based, school and media-based tobacco use prevention and cessation project in Southern California. The study provided an experimental comparison of classroom delivery with television delivery and the combination of the two in a 2 x 2 plus 1 design. Schools were randomly assigned to conditions. Control groups included "treatment as usual" and an "attention control" with the same outcome expectancies as the treatment conditions. Students were surveyed twice in grade 7 and once in each of grades 8 and 9. The interventions occurred during grade 7. We observed significant effects on mediating variables such as knowledge and prevalence estimates, and coping effort. The knowledge and prevalence estimates effects decayed partially but remained significant up to a 2-year follow-up. The coping effort effect did not persist at follow-ups. There were significant main effects of both classroom training and TV programming on knowledge and prevalence estimates and significant interactions of classroom and TV programming on knowledge (negative), disapproval of parental smoking, and coping effort. There were no consistent program effects on refusal/self-efficacy, smoking intentions, or behavior. Previous reports demonstrated successful development and pilot testing of program components and measures and high acceptance of the program by students and parents. The lack of behavioral effects may have been the result of imperfect program implementation or low base rates of intentions and behavior.

  19. Metacognition as a Mediating Variable Between Neurocognition and Functional Outcome in First Episode Psychosis.

    Science.gov (United States)

    Davies, Geoff; Fowler, David; Greenwood, Kathryn

    2017-07-01

    Neurocognitive and functional outcome deficits have long been acknowledged in schizophrenia and neurocognition has been found to account for functional disability to a greater extent than psychopathology. Much of the variance in functional outcome however still remains unexplained and metacognition may mediate the relationship between neurocognition, functional capacity, and self-reported social and occupational function. Eighty first episode psychosis participants were recruited and completed measures of neurocognition (memory, executive function, and intelligence quotient), metacognition (Beck Cognitive Insight Scale, Metacognitive Awareness Interview), psychopathology (PANSS), and both functional capacity (UPSA) and real-life social and occupational function (The Time Use Survey). Path analyses investigated the relationships between variables through structural equation modeling. A series of path models demonstrated that metacognition partially mediates the relationship between neurocognition and functional capacity, and fully mediates the relationship between functional capacity and social and occupational function. The present study findings identify that metacognition may be critical to translating cognitive and functional skills into real-world contexts, and this relationship is found at early stages of illness. Understanding how individuals translate cognitive and functional skills into the real-world (the competence-performance gap) may offer valuable guidance to intervention programs. This finding is important to models of recovery as it suggests that intervention programs that focus on enhancing metacognition abilities may have a greater impact than traditional rehabilitation programs focusing on cognitive abilities, on social and occupational outcomes. © The Author 2016. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com

  20. Learning Outcomes of 'Understanding Research' as understood by ...

    African Journals Online (AJOL)

    Simon Bhekumuzi

    vision) for using Turnitin as a deterrent, in order to help learners to learn in the process. .... such as the American Psychological Association. (APA) ..... from other people. ..... and enduring concerns (2nd ed). ... Generations: The history of.

  1. Teamwork, organizational learning, patient safety and job outcomes.

    Science.gov (United States)

    Goh, Swee C; Chan, Christopher; Kuziemsky, Craig

    2013-01-01

    This article aims to encourage healthcare administrators to consider the learning organization concept and foster collaborative learning among teams in their attempt to improve patient safety. Relevant healthcare, organizational behavior and human resource management literature was reviewed. A patient safety culture, fostered by healthcare leaders, should include an organizational culture that encourages collaborative learning, replaces the blame culture, prioritizes patient safety and rewards individuals who identify serious mistakes. As healthcare institution staffs are being asked to deliver more complex medical services with fewer resources, there is a need to understand how hospital staff can learn from other organizational settings, especially the non-healthcare sectors. The paper provides suggestions for improving patient safety which are drawn from the health and business management literature.

  2. Robust total energy demand estimation with a hybrid Variable Neighborhood Search – Extreme Learning Machine algorithm

    International Nuclear Information System (INIS)

    Sánchez-Oro, J.; Duarte, A.; Salcedo-Sanz, S.

    2016-01-01

    Highlights: • The total energy demand in Spain is estimated with a Variable Neighborhood algorithm. • Socio-economic variables are used, and one year ahead prediction horizon is considered. • Improvement of the prediction with an Extreme Learning Machine network is considered. • Experiments are carried out in real data for the case of Spain. - Abstract: Energy demand prediction is an important problem whose solution is evaluated by policy makers in order to take key decisions affecting the economy of a country. A number of previous approaches to improve the quality of this estimation have been proposed in the last decade, the majority of them applying different machine learning techniques. In this paper, the performance of a robust hybrid approach, composed of a Variable Neighborhood Search algorithm and a new class of neural network called Extreme Learning Machine, is discussed. The Variable Neighborhood Search algorithm is focused on obtaining the most relevant features among the set of initial ones, by including an exponential prediction model. While previous approaches consider that the number of macroeconomic variables used for prediction is a parameter of the algorithm (i.e., it is fixed a priori), the proposed Variable Neighborhood Search method optimizes both: the number of variables and the best ones. After this first step of feature selection, an Extreme Learning Machine network is applied to obtain the final energy demand prediction. Experiments in a real case of energy demand estimation in Spain show the excellent performance of the proposed approach. In particular, the whole method obtains an estimation of the energy demand with an error lower than 2%, even when considering the crisis years, which are a real challenge.

  3. Learning outcomes in two different teaching approach in nursing education in Iran: e-learning versus lecture.

    Science.gov (United States)

    Mehrdad, Neda; Zolfaghari, Mitra; Bahrani, Naser; Eybpoosh, Sana

    2011-01-01

    Traditional teaching methods used in medical education couldn't meet the need for keeping pace with up to date information. Present study has conducted in order to compare the effect of lecture and e-learning methods on nursing students' learning outcomes in the context of Iran. A cross-over design was applied. Study sample was consisted of 32 students which were in third semester of nursing bachelor program and were passing Maternal Child nursing course. The first part of the course was taught using lecture method during first four weeks; an e-learning method was the technique used to educate the remained part of the course during the second four weeks. Students' learning outcomes in each method, opinion toward and participation with both educational methods was assessed. No significant difference was found between students exam scores in both methods. Considering students' opinion toward educational methods, no significant difference was found between two methods in general but students reported better "capability" and "independency" in e-learning method while lecture was obtained higher scores in "effectiveness on learning" and "motivation" characteristics. E-learning can be used in teaching some nursing courses. It is recommended to use e-learning method with appropriate interactive strategies and attractive virtual environments to motivate students.

  4. The Influence of Problem Based Learning Model toward Students’ Activities and Learning Outcomes on Financial Management Subject

    Directory of Open Access Journals (Sweden)

    Han Tantri Hardini

    2016-12-01

    Full Text Available This research aims to know the influence of problem based learning model toward students’ activities and achievement on Financial Management subject for undergraduate program students of Accounting Education. It was a quantitative research that used true experimental design. Samples of this study were undergraduate program students of Accounting Education in the year of 2014. Class A were control class and class B were experimental class. Data were analyzed by using t-test in order to determine the differences of learning outcomes between control class and experimental class. Then, questionnaires were distributed to gather students’ activities information in their students’ learning model. Findings show that there is an influence of Problem Based Learning model toward students’ activities and learning outcomes on Financial Management subject for undergraduate program students of Accounting Education since t-count ≥ t-table. It is 6.120 ≥ 1.9904. Students’ learning activities with Problem Based Learning model are better than students who are taught by conventional learning model.

  5. Learning Outcomes in Two Different Teaching Approach in Nursing Education in Iran: E-Learning versus Lecture

    Directory of Open Access Journals (Sweden)

    Neda Mehrdad

    2011-05-01

    Full Text Available Traditional teaching methods used in medical education couldn't meet the need for keeping pace with up to date information. Present study has conducted in order to compare the effect of lecture and e-learning methods on nursing students' learning outcomes in the context of Iran. A cross-over design was applied. Study sample was consisted of 32 students which were in third semester of nursing bachelor program and were passing Maternal Child nursing course. The first part of the course was taught using lecture method during first four weeks; an e-learning method was the technique used to educate the remained part of the course during the second four weeks. Students' learning outcomes in each method, opinion toward and participation with both educational methods was assessed. No significant difference was found between students exam scores in both methods. Considering students' opinion toward educational methods, no significant difference was found between two methods in general but students reported better "capability" and "independency" in e-learning method while lecture was obtained higher scores in "effectiveness on learning" and "motivation" characteristics. E-learning can be used in teaching some nursing courses. It is recommended to use e-learning method with appropriate interactive strategies and attractive virtual environments to motivate students

  6. Developing a Learning Outcome-Based Question Examination Paper Tool for Universiti Putra Malaysia

    Science.gov (United States)

    Hassan, Sa'adah; Admodisastro, Novia Indriaty; Kamaruddin, Azrina; Baharom, Salmi; Pa, Noraini Che

    2016-01-01

    Much attention is now given on producing quality graduates. Therefore, outcome-based education (OBE) in teaching and learning is now being implemented in Malaysia at all levels of education especially at higher education institutions. For implementing OBE, the design of curriculum and courses should be based on specified outcomes. Thus, the…

  7. Issues in Institutional Benchmarking of Student Learning Outcomes Using Case Examples

    Science.gov (United States)

    Judd, Thomas P.; Pondish, Christopher; Secolsky, Charles

    2013-01-01

    Benchmarking is a process that can take place at both the inter-institutional and intra-institutional level. This paper focuses on benchmarking intra-institutional student learning outcomes using case examples. The findings of the study illustrate the point that when the outcomes statements associated with the mission of the institution are…

  8. Outcome-Based Education and Student Learning in Managerial Accounting in Hong Kong

    Science.gov (United States)

    Lui, Gladie; Shum, Connie

    2012-01-01

    Although Outcome-based Education has not been successful in public education in several countries, it has been successful in the medical fields in higher education in the U.S. The author implemented OBE in her Managerial Accounting course in H.K. Intended learning outcomes were mapped again Bloom's Cognitive Domain. Teaching and learning…

  9. Naturally Acquired Mentoring Relationships and Young Adult Outcomes among Adolescents with Learning Disabilities

    Science.gov (United States)

    Ahrens, Kym; DuBois, David Lane; Lozano, Paula; Richardson, Laura P.

    2010-01-01

    We evaluated whether having a naturally acquired mentor during adolescence was associated with improved adult outcomes among youth with learning disabilities (YLD). Mentored youth were more likely to have graduated from high school, reported a higher level of self-esteem, and reported a higher overall number of positive outcomes than nonmentored…

  10. Effects of Mobile Instant Messaging on Collaborative Learning Processes and Outcomes: The Case of South Korea

    Science.gov (United States)

    Kim, Hyewon; Lee, MiYoung; Kim, Minjeong

    2014-01-01

    The purpose of this paper was to investigate the effects of mobile instant messaging on collaborative learning processes and outcomes. The collaborative processes were measured in terms of different types of interactions. We measured the outcomes of the collaborations through both the students' taskwork and their teamwork. The collaborative…

  11. Elementary Students' Affective Variables in a Networked Learning Environment Supported by a Blog: A Case Study

    Science.gov (United States)

    Allaire, Stéphane; Thériault, Pascale; Gagnon, Vincent; Lalancette, Evelyne

    2013-01-01

    This study documents to what extent writing on a blog in a networked learning environment could influence the affective variables of elementary-school students' writing. The framework is grounded more specifically in theory of self-determination (Deci & Ryan, 1985), relationship to writing (Chartrand & Prince, 2009) and the transactional…

  12. Analysis of Primary School Student's Science Learning Anxiety According to Some Variables

    Science.gov (United States)

    Karakaya, Ferhat; Avgin, Sakine Serap; Kumperli, Ethem

    2016-01-01

    On this research, it is analyzed if the science learning anxiety level shows difference according to variables which are gender, grade level, science lesson grade, mother education, father education level. Scanning Design is used for this study. Research working group is consisted of 294 primary school from 6th, 7th and 8th graders on 2015-2016…

  13. French Nursery Schools and German Kindergartens: Effects of Individual and Contextual Variables on Early Learning

    Science.gov (United States)

    Tazouti, Youssef; Viriot-Goeldel, Caroline; Matter, Cornelie; Geiger-Jaillet, Anemone; Carol, Rita; Deviterne, Dominique

    2011-01-01

    The present article investigates the effects of individual and contextual variables on children's early learning in French nursery schools and German kindergartens. Our study of 552 children at preschools in France (299 children from French nursery schools) and Germany (253 children from German kindergartens) measured skills that facilitate the…

  14. Psychosocial Variables as Predictors of School Adjustment of Gifted Students with Learning Disabilities in Nigeria

    Science.gov (United States)

    Fakolade, O. A.; Oyedokun, S. O.

    2015-01-01

    The paper considered several psychosocial variables as predictors of school adjustment of 40 gifted students with learning disabilities in Junior Secondary School in Ikenne Local Government Council Area of Ogun State, Nigeria. Purposeful random sampling was employed to select four schools from 13 junior secondary schools in the area, six…

  15. New supervised learning theory applied to cerebellar modeling for suppression of variability of saccade end points.

    Science.gov (United States)

    Fujita, Masahiko

    2013-06-01

    A new supervised learning theory is proposed for a hierarchical neural network with a single hidden layer of threshold units, which can approximate any continuous transformation, and applied to a cerebellar function to suppress the end-point variability of saccades. In motor systems, feedback control can reduce noise effects if the noise is added in a pathway from a motor center to a peripheral effector; however, it cannot reduce noise effects if the noise is generated in the motor center itself: a new control scheme is necessary for such noise. The cerebellar cortex is well known as a supervised learning system, and a novel theory of cerebellar cortical function developed in this study can explain the capability of the cerebellum to feedforwardly reduce noise effects, such as end-point variability of saccades. This theory assumes that a Golgi-granule cell system can encode the strength of a mossy fiber input as the state of neuronal activity of parallel fibers. By combining these parallel fiber signals with appropriate connection weights to produce a Purkinje cell output, an arbitrary continuous input-output relationship can be obtained. By incorporating such flexible computation and learning ability in a process of saccadic gain adaptation, a new control scheme in which the cerebellar cortex feedforwardly suppresses the end-point variability when it detects a variation in saccadic commands can be devised. Computer simulation confirmed the efficiency of such learning and showed a reduction in the variability of saccadic end points, similar to results obtained from experimental data.

  16. The Effect of Visual Variability on the Learning of Academic Concepts.

    Science.gov (United States)

    Bourgoyne, Ashley; Alt, Mary

    2017-06-10

    The purpose of this study was to identify effects of variability of visual input on development of conceptual representations of academic concepts for college-age students with normal language (NL) and those with language-learning disabilities (LLD). Students with NL (n = 11) and LLD (n = 11) participated in a computer-based training for introductory biology course concepts. Participants were trained on half the concepts under a low-variability condition and half under a high-variability condition. Participants completed a posttest in which they were asked to identify and rate the accuracy of novel and trained visual representations of the concepts. We performed separate repeated measures analyses of variance to examine the accuracy of identification and ratings. Participants were equally accurate on trained and novel items in the high-variability condition, but were less accurate on novel items only in the low-variability condition. The LLD group showed the same pattern as the NL group; they were just less accurate. Results indicated that high-variability visual input may facilitate the acquisition of academic concepts in college students with NL and LLD. High-variability visual input may be especially beneficial for generalization to novel representations of concepts. Implicit learning methods may be harnessed by college courses to provide students with basic conceptual knowledge when they are entering courses or beginning new units.

  17. Research on Open-Closed-Loop Iterative Learning Control with Variable Forgetting Factor of Mobile Robots

    Directory of Open Access Journals (Sweden)

    Hongbin Wang

    2016-01-01

    Full Text Available We propose an iterative learning control algorithm (ILC that is developed using a variable forgetting factor to control a mobile robot. The proposed algorithm can be categorized as an open-closed-loop iterative learning control, which produces control instructions by using both previous and current data. However, introducing a variable forgetting factor can weaken the former control output and its variance in the control law while strengthening the robustness of the iterative learning control. If it is applied to the mobile robot, this will reduce position errors in robot trajectory tracking control effectively. In this work, we show that the proposed algorithm guarantees tracking error bound convergence to a small neighborhood of the origin under the condition of state disturbances, output measurement noises, and fluctuation of system dynamics. By using simulation, we demonstrate that the controller is effective in realizing the prefect tracking.

  18. Association between classroom ventilation mode and learning outcome in Danish schools

    DEFF Research Database (Denmark)

    Toftum, Jørn; Kjeldsen, Birthe Uldahl; Wargocki, Pawel

    2015-01-01

    Associations between learning, ventilation mode, and other classroom characteristics were investigated with data from a Danish test scheme and two widespread cross-sectional studies examining air quality in Danish schools. An academic achievement indicator as a measure of the learning outcome...... concentrations and temperatures in 820 classrooms in 389 schools were available. In 56% and 66% of the classrooms included in the two studies, the measured CO2 concentration was higher than 1000ppm. The findings of this study add to the growing evidence that insufficient classroom ventilation have impacts...... on learning outcomes....

  19. Exploring Learning Outcomes in Cognitive Behaviour Therapy and Existential Therapy in Denmark

    DEFF Research Database (Denmark)

    Sørensen, Anders Dræby

    This is a presentation of a research project, which explores lived experience of psychotherapy in terms of learning outcomes. This includes both Existential therapy (ET) and Cognitive-Behavioural Therapy (CBT) and their possible differences and similarities. I can describe learning as any...... experiential change that occurs in the participants understanding as result of the therapy in which they participate. Learning outcomes are concerned with the achievements of the learner rather than the intentions of the educator, as expressed in the objectives of an educational effort. This research points...

  20. Problem- and case-based learning in science: an introduction to distinctions, values, and outcomes.

    Science.gov (United States)

    Allchin, Douglas

    2013-01-01

    Case-based learning and problem-based learning have demonstrated great promise in reforming science education. Yet an instructor, in newly considering this suite of interrelated pedagogical strategies, faces a number of important instructional choices. Different features and their related values and learning outcomes are profiled here, including: the level of student autonomy; instructional focus on content, skills development, or nature-of-science understanding; the role of history, or known outcomes; scope, clarity, and authenticity of problems provided to students; extent of collaboration; complexity, in terms of number of interpretive perspectives; and, perhaps most importantly, the role of applying versus generating knowledge.

  1. Improving the Students' Activity and Learning Outcomes on Social Sciences Subject Using Round Table and Rally Coach of Cooperative Learning Model

    Science.gov (United States)

    Ningsih; Soetjipto, Budi Eko; Sumarmi

    2017-01-01

    The purpose of this study was: (1) to analyze increasing students' learning activity and learning outcomes. Student activities which were observed include the visual, verbal, listening, writing and mental visual activity; (2) to analyze the improvement of student learning outcomes using "Round Table" and "Rally Coach" Model of…

  2. THE IMPLEMENTATION OF JOBSHEET-BASED STUDENT TEAMS ACHIEVEMENT DIVISION LEARNING MODEL TO IMPROVE STUDENTS LEARNING OUTCOMES

    Directory of Open Access Journals (Sweden)

    Kadek Dodi Permana

    2016-09-01

    Full Text Available This study aims to improve the Information and Communications Technology (ICT learning outcomes of the students in SMA N 2 Singaraja through the learning model of Job sheet-based Student Team Achievement Division (STAD. This is a classroom action research. The data analysis reveals that learning outcomes in cycle I gain a mean score of 80. 51 and a classical provisions of 15%. There are three students who pass with a minimum score of 85 in cycle I. From these categories, the students’ learning outcomes in the first cycle have not met the criterion of 85%. The mean score of cycle II is 88. 57 and the classical provisions is 90%. In the second cycle, there are 18 students who gain a minimum score of 85. Based on the success criterion, a research study is successful if the minimum completeness criterion reaches 85 and the minimum classical completeness criterion reaches 85%. From the categories, the students’ learning outcomes have been successfully improved since the percentage of classical completeness in the second cycle has reached its expected results.

  3. Dimensions of organizational learning: contextual variables in companies under lean manufacturing implementation

    Directory of Open Access Journals (Sweden)

    Guilherme Luz Tortorella

    2014-08-01

    Full Text Available The Lean Production (LP is an approach that encompasses a variety of management practices to reduce losses and improve operational efficiency. Due to this fact, the ability to innovate, change and learn continuously presents itself as a key element in the implementation of the LP. Several contextual variables were mentioned in the literature as potential impediments to implementing lean. However, little is known about the influence of these variables on the dimensions of Organizational Learning (OL. This study aims to examine the relationship between six contextual variables and the frequency of occurrence of problems in companies that are implementing the LP. Furthermore, the identification of relevant relationships between dimensions of OL and contextual variables contribute to the identification of the contexts in which problems can be expected to occur. The sample contains thirteen companies implementing the LP. The results indicate that the same contextual variables, which are deemed as influential to implement LP, have a different influence on the ability of organizational learning.

  4. Autonomy, Affiliation, and Ability: Relative Salience of Factors that Influence Online Learner Motivation and Learning Outcomes

    Directory of Open Access Journals (Sweden)

    Kuan-Chung Chen

    2010-03-01

    Full Text Available Autonomy, affiliation, and ability appear as main factors that influence online learners‟ motivation and learning outcomes, however, the relative salience of these three factors remains unclear in the online learning literature. Drawing on Deci and Ryan‟s self-determination theory, this study sought to bridge this gap by investigating the relative salience of perceived autonomy, affiliation, and ability on learner motivation and learning outcomes in two special education online programs (N = 262. This study found that the most salient predictor varied from categories of motivation and learning outcomes, and the number of significant predictors increased by participants‟ level of motivation/self-determination. Results of this study provide implications for online learner support.

  5. PLANNING AND ESTIMATION OF EXPECTED COMPETENCES LEARNING OUTCOMES FOR FSES HPE

    Directory of Open Access Journals (Sweden)

    V. N. Vasilev

    2013-03-01

    Full Text Available The article deals with approach for planning and estimation of competences learning outcomes for Federal State Educational Standard of Higher Professional Education (FSES HPE in the framework of information and educational environment development of the higher education institution, based on the discipline content structuring for formation of the standard competences learning results and the principle of interdisciplinary training. Connection of FSES HPE competences learning outcomes with types and forms of students’ trainings, types and forms of their control in a discipline is analyzed. Techniques of estimation means development for the current, module and intermediate control of expected competences learning outcomes for FSES HPE are considered. Examples of the developed techniques application are given.

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

    Science.gov (United States)

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

    2018-01-13

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

  7. Parental Decisional Regret after Primary Distal Hypospadias Repair: Family and Surgery Variables, and Repair Outcomes.

    Science.gov (United States)

    Ghidini, Filippo; Sekulovic, Sasa; Castagnetti, Marco

    2016-03-01

    Decisional regret is defined as distress after making a health care choice and can be an issue for parents electing distal hypospadias repair for their sons. We assessed the influence on decisional regret of variables related to the family, surgery and outcomes. Charts for 372 patients undergoing primary distal hypospadias repair between 2005 and 2012 were reviewed, and validated questionnaires, including the Decisional Regret Scale, Pediatric Penile Perception Score and Dysfunctional Voiding and Incontinence Scoring System, were administered to parents. Data were available for 172 of 372 families (response rate 46.2%). Of 323 parents 128 (39.6%) presented with moderately strong decisional regret, with good agreement within couples. Predictors of decisional regret included intermediate parental educational level (OR 3.19, 95% CI 1.52-6.69), patient not being the first born (OR 2.01, 95% CI 1.07-3.78), family history of hypospadias (OR 4.42, 95% CI 1.96-9.97), initial desire to avoid surgery (OR 2.07, 95% CI 1.04-4.12), younger age at followup (OR 0.81, 95% CI 0.72-0.91), presence of lower urinary tract symptoms (OR 4.92, 95% CI 1.53-15.81) and lower Pediatric Penile Perception Score (OR 0.86, 95% CI 0.75-0.99). Decisional regret was unrelated to parental desire to avoid circumcision, surgical variables, development of complications and duration of followup. Decisional regret is a problem in a significant proportion of parents electing distal hypospadias repair for their sons. In our experience family variables seemed to be predictors of decisional regret, while surgical variables did not. Predictors of decisional regret included worse parental perception of penile appearance and the presence of lower urinary tract symptoms. However, the latter could be unrelated to surgery. Irrespective of the duration of followup, decisional regret seems decreased in parents of older patients. Copyright © 2016 American Urological Association Education and Research, Inc

  8. Matching Vocabulary Learning Process with Learning Outcome in L2 Academic Writing: An Exploratory Case Study

    Science.gov (United States)

    Ma, Qing

    2013-01-01

    This exploratory case study of two undergraduates links vocabulary learning approaches with lexical quality measured in academic writing. Employing an array of qualitative data, it is shown that in a "semi-language-rich" learning context, Chinese learners may dispense with rote learning and engage in a more natural learning approach in which…

  9. THE RELATIONSHIP BETWEEN LEARNING OUTCOMES ENTREPRENEURSHIP AND LEARNING OUTCOMES VOCATIONAL AUTOMOTIVE INTEREST STUDENT WORK CLASS X IN SMK MUHAMMADIYAH KARANGMOJO

    Directory of Open Access Journals (Sweden)

    Al Hashmy Hardhiansyah

    2016-12-01

    Full Text Available The study aimed to describe (1 correlation between automotive vocational learning with working interest; (2 correlation between entrepreneurship learning achievement with working interest of welding subject; and (3 correlation between automotive vocationallearning and entrepreneurship learning achievement with students’ working interest. This study was ex-post facto research. Data collecting methods were questionnaires and documentation. Data analyzing methods used descriptive analysis, first and second hypothesis testing used partial correlation and third hypothesis testing used double regression. This study shows that (1 there was a positive and significant correlation between automotive vocationallearning with learning achievement with the score of r obs = 0,308 with the significant score 0.015 < 0.05; (2 there was a positive and significant correlation between entrepreneurship  learning achievement  with working interest among with the score of r obs = 0,493 with the significant score 0.015 < 0.05; and (3 there was a positive and significant correlation between automotive vocationallearning and entrepreneurship  learning achievement  with working interest  with the significant score 0.000 < 0.05. The score of determinant coefficient (R2 0.252, it means that automotive vocationallearning and entrepreneurship  learning achievement  gave a positive contribution 25.2% toward working interest, while 74.8 % was influenced by other factors that were not discussed in this study. The automotive vocationallearning gave contribution 12.08% toward students’ working interest and entrepreneurship learning achievement gave contribution 13.12% toward students’ working interest.

  10. Cognitive load imposed by ultrasound-facilitated teaching does not adversely affect gross anatomy learning outcomes.

    Science.gov (United States)

    Jamniczky, Heather A; Cotton, Darrel; Paget, Michael; Ramji, Qahir; Lenz, Ryan; McLaughlin, Kevin; Coderre, Sylvain; Ma, Irene W Y

    2017-03-01

    Ultrasonography is increasingly used in medical education, but its impact on learning outcomes is unclear. Adding ultrasound may facilitate learning, but may also potentially overwhelm novice learners. Based upon the framework of cognitive load theory, this study seeks to evaluate the relationship between cognitive load associated with using ultrasound and learning outcomes. The use of ultrasound was hypothesized to facilitate learning in anatomy for 161 novice first-year medical students. Using linear regression analyses, the relationship between reported cognitive load on using ultrasound and learning outcomes as measured by anatomy laboratory examination scores four weeks after ultrasound-guided anatomy training was evaluated in consenting students. Second anatomy examination scores of students who were taught anatomy with ultrasound were compared with historical controls (those not taught with ultrasound). Ultrasound's perceived utility for learning was measured on a five-point scale. Cognitive load on using ultrasound was measured on a nine-point scale. Primary outcome was the laboratory examination score (60 questions). Learners found ultrasound useful for learning. Weighted factor score on "image interpretation" was negatively, but insignificantly, associated with examination scores [F (1,135) = 0.28, beta = -0.22; P = 0.61]. Weighted factor score on "basic knobology" was positively and insignificantly associated with scores; [F (1,138) = 0.27, beta = 0.42; P = 0.60]. Cohorts exposed to ultrasound had significantly higher scores than historical controls (82.4% ± SD 8.6% vs. 78.8% ± 8.5%, Cohen's d = 0.41, P learning and may improve learning outcomes. Anat Sci Educ 10: 144-151. © 2016 American Association of Anatomists. © 2016 American Association of Anatomists.

  11. The neural coding of expected and unexpected monetary performance outcomes: dissociations between active and observational learning.

    Science.gov (United States)

    Bellebaum, C; Jokisch, D; Gizewski, E R; Forsting, M; Daum, I

    2012-02-01

    Successful adaptation to the environment requires the learning of stimulus-response-outcome associations. Such associations can be learned actively by trial and error or by observing the behaviour and accompanying outcomes in other persons. The present study investigated similarities and differences in the neural mechanisms of active and observational learning from monetary feedback using functional magnetic resonance imaging. Two groups of 15 subjects each - active and observational learners - participated in the experiment. On every trial, active learners chose between two stimuli and received monetary feedback. Each observational learner observed the choices and outcomes of one active learner. Learning performance as assessed via active test trials without feedback was comparable between groups. Different activation patterns were observed for the processing of unexpected vs. expected monetary feedback in active and observational learners, particularly for positive outcomes. Activity for unexpected vs. expected reward was stronger in the right striatum in active learning, while activity in the hippocampus was bilaterally enhanced in observational and reduced in active learning. Modulation of activity by prediction error (PE) magnitude was observed in the right putamen in both types of learning, whereas PE related activations in the right anterior caudate nucleus and in the medial orbitofrontal cortex were stronger for active learning. The striatum and orbitofrontal cortex thus appear to link reward stimuli to own behavioural reactions and are less strongly involved when the behavioural outcome refers to another person's action. Alternative explanations such as differences in reward value between active and observational learning are also discussed. Copyright © 2011 Elsevier B.V. All rights reserved.

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

    Science.gov (United States)

    Ho, Li-An

    2009-01-01

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

  13. Challenge in Enhancing the Teaching and Learning of Variable Measurements in Quantitative Research

    Science.gov (United States)

    Kee, Chang Peng; Osman, Kamisah; Ahmad, Fauziah

    2013-01-01

    Statistical analysis is one component that cannot be avoided in a quantitative research. Initial observations noted that students in higher education institution faced difficulty analysing quantitative data which were attributed to the confusions of various variable measurements. This paper aims to compare the outcomes of two approaches applied in…

  14. Reformulating the Depression Model of Learned Hopelessness for Academic Outcomes

    Science.gov (United States)

    Au, Raymond C. P.; Watkins, David; Hattie, John; Alexander, Patricia

    2009-01-01

    This review explores developments in the construct of learned hopelessness, which originated in the clinical literature dealing with depression. In that context, the model developed by Abramson, Metalsky, and Alloy [Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989). "Hopelessness depression: A theory-based subtype of depression."…

  15. Impact of Arts Education on Children's Learning and Wider Outcomes

    Science.gov (United States)

    See, Beng Huat; Kokotsaki, Dimitra

    2016-01-01

    Almost every educational system in the world regards numeracy and literacy as more important than the arts. In the UK arts interest groups and politicians have, for years, asked for arts education to be accorded the same priority arguing that arts contribute to learning and development of useful skills. It is not clear if these claims were based…

  16. Defining professional excellence : overlapping learning outcomes in Dutch honours education

    NARCIS (Netherlands)

    Robbe, Patricia; Heijne-Penninga, Marjolein; Lappia, Josephine; Pullen, Annedien; Lammers, Marike; Wolfensberger, Marca

    2016-01-01

    Honours programs are selective programs that offer challenging educational opportunities for talented students who are willing and able to do more than regular programs offer them (Wolfensberger et.al.,2012). For optimal learning, these programs should focus on three dimensions of teaching

  17. Council for the Advancement of Standards Learning and Developmental Outcomes

    Science.gov (United States)

    Council for the Advancement of Standards in Higher Education, 2008

    2008-01-01

    The Council for the Advancement of Standards in Higher Education (CAS) promotes standards to enhance opportunities for student learning and development from higher education programs and services. Responding to the increased shift in attention being paid by educators and their stakeholders from higher education inputs (i.e., standards and…

  18. Reinforcing Saccadic Amplitude Variability

    Science.gov (United States)

    Paeye, Celine; Madelain, Laurent

    2011-01-01

    Saccadic endpoint variability is often viewed as the outcome of neural noise occurring during sensorimotor processing. However, part of this variability might result from operant learning. We tested this hypothesis by reinforcing dispersions of saccadic amplitude distributions, while maintaining constant their medians. In a first experiment we…

  19. Effects of feedback in a computer-based learning environment on students’ learning outcomes: a meta-analysis

    NARCIS (Netherlands)

    van der Kleij, Fabienne; Feskens, Remco C.W.; Eggen, Theodorus Johannes Hendrikus Maria

    2015-01-01

    In this meta-analysis, we investigated the effects of methods for providing item-based feedback in a computer-based environment on students’ learning outcomes. From 40 studies, 70 effect sizes were computed, which ranged from −0.78 to 2.29. A mixed model was used for the data analysis. The results

  20. Edutourism Taka Bonerate National Park through Scientific Approach to Improve Student Learning Outcomes

    Science.gov (United States)

    Hayati, R. S.

    2017-02-01

    This research aim is develop the potential of Taka Bonerate National Park as learning resources through edutourism with scientific approach to improve student learning outcomes. Focus of student learning outcomes are students psychomotor abilities and comprehension on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. The edutourism development products are teacher manual, edutourism worksheet, material booklet, guide’s manual, and Taka Bonerate National Park governor manual. The method to develop edutourism products is ADDIE research and development model that consist of analysis, design, development and production, implementation, and evaluation step. The subjects in the implementation step were given a pretest and posttest and observation sheet to see the effect of edutourism Taka Bonerate National Park through scientific approach to student learning outcomes on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. The data were analyzed qualitative descriptively. The research result is edutourism Taka Bonerate National Park through scientific approach can improve students learning outcomes on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics. Edutourism Taka Bonerate National Park can be an alternative of learning method on Biodiversity of Marine Biota, Corals Ecosystem, and Conservation topics.

  1. Assessing learning outcomes and cost effectiveness of an online sleep curriculum for medical students.

    Science.gov (United States)

    Bandla, Hari; Franco, Rose A; Simpson, Deborah; Brennan, Kimberly; McKanry, Jennifer; Bragg, Dawn

    2012-08-15

    Sleep disorders are highly prevalent across all age groups but often remain undiagnosed and untreated, resulting in significant health consequences. To overcome an inadequacy of available curricula and learner and instructor time constraints, this study sought to determine if an online sleep medicine curriculum would achieve equivalent learner outcomes when compared with traditional, classroom-based, face-to-face instruction at equivalent costs. Medical students rotating on a required clinical clerkship received instruction in 4 core clinical sleep-medicine competency domains in 1 of 2 delivery formats: a single 2.5-hour face-to-face workshop or 4 asynchronous e-learning modules. Immediate learning outcomes were assessed in a subsequent clerkship using a multiple-choice examination and standardized patient station, with long-term outcomes assessed through analysis of students' patient write-ups for inclusion of sleep complaints and diagnoses before and after the intervention. Instructional costs by delivery format were tracked. Descriptive and inferential statistical analyses compared learning outcomes and costs by instructional delivery method (face-to-face versus e-learning). Face-to-face learners, compared with online learners, were more satisfied with instruction. Learning outcomes (i.e., multiple-choice examination, standardized patient encounter, patient write-up), as measured by short-term and long-term assessments, were roughly equivalent. Design, delivery, and learner-assessment costs by format were equivalent at the end of 1 year, due to higher ongoing teaching costs associated with face-to-face learning offsetting online development and delivery costs. Because short-term and long-term learner performance outcomes were roughly equivalent, based on delivery method, the cost effectiveness of online learning is an economically and educationally viable instruction platform for clinical clerkships.

  2. Content, Pedagogy, and Learning Outcomes in the International Marketing Course

    Science.gov (United States)

    Crittenden, Victoria L.; Wilson, Elizabeth J.

    2005-01-01

    The early internationalization of business school curricula was in response to corporate needs and expectations, and the Association to Advance Collegiate Schools of Business (AACSB International) fostered changes by instituting accreditation outcomes that focused upon international content in the curriculum. By the late 1990s, a course in…

  3. Outcomes of splenectomy in patients with common variable immunodeficiency (CVID): a survey of 45 patients

    Science.gov (United States)

    Wong, G K; Goldacker, S; Winterhalter, C; Grimbacher, B; Chapel, H; Lucas, M; Alecsandru, D; McEwen, D; Quinti, I; Martini, H; Schmidt, R E; Ernst, D; Espanol, T; Vidaller, A; Carbone, J; Fernandez-Cruz, E; Lougaris, V; Plebani, A; Kutukculer, N; Gonzalez-Granado, L I; Contreras, R; Kiani-Alikhan, S; Ibrahim, M A A; Litzman, J; Jones, A; Gaspar, H B; Hammarstrom, L; Baumann, U; Warnatz, K; Huissoon, A P

    2013-01-01

    Splenectomy has been used in patients with common variable immunodeficiency disorders (CVID), mainly in the context of refractory autoimmune cytopenia and suspected lymphoma, but there are understandable concerns about the potential of compounding an existing immunodeficiency. With increasing use of rituximab as an alternative treatment for refractory autoimmune cytopenia, the role of splenectomy in CVID needs to be re-examined. This retrospective study provides the largest cohesive data set to date describing the outcome of splenectomy in 45 CVID patients in the past 40 years. Splenectomy proved to be an effective long-term treatment in 75% of CVID patients with autoimmune cytopenia, even in some cases when rituximab had failed. Splenectomy does not worsen mortality in CVID and adequate immunoglobulin replacement therapy appears to play a protective role in overwhelming post-splenectomy infections. Future trials comparing the effectiveness and safety of rituximab and splenectomy are needed to provide clearer guidance on the second-line management of autoimmune cytopenia in CVID. PMID:23480186

  4. Teleconsultation with a developing country: student reported outcomes of learning.

    Science.gov (United States)

    Foti, Megan K; Eleazar, Crystal; Furphy, Kimberly A

    2014-01-01

    This qualitative study explored the benefits of implementing (international) teleconsultation in a Master of Science in Occupational Therapy (MSOT) curriculum. Twenty-one students provided supervised teleconsultative services to individuals with disabilities in Guatemala and were responsible for completing assessments, setting goals, and providing resources to address goals and improve quality of life. Data were collected through student presentations and coded for relevant themes. Analysis revealed new learning in the areas of the occupational therapy process, cultural awareness, and technology. Three themes emerged: Increased Understanding of Awareness of and Challenges to Working with People of a Different Culture; Need for Adaptability and Flexibility as Practicing Clinicians; Emerging Role of Technology in Occupational Therapy. Based on results from this study, occupational therapy academicians should consider implementing similar programs into curricula and conduct related research in order to promote not only student learning, but also to advance the use of telehealth technology in occupational therapy practice.

  5. Song practice promotes acute vocal variability at a key stage of sensorimotor learning.

    Directory of Open Access Journals (Sweden)

    Julie E Miller

    Full Text Available BACKGROUND: Trial by trial variability during motor learning is a feature encoded by the basal ganglia of both humans and songbirds, and is important for reinforcement of optimal motor patterns, including those that produce speech and birdsong. Given the many parallels between these behaviors, songbirds provide a useful model to investigate neural mechanisms underlying vocal learning. In juvenile and adult male zebra finches, endogenous levels of FoxP2, a molecule critical for language, decrease two hours after morning song onset within area X, part of the basal ganglia-forebrain pathway dedicated to song. In juveniles, experimental 'knockdown' of area X FoxP2 results in abnormally variable song in adulthood. These findings motivated our hypothesis that low FoxP2 levels increase vocal variability, enabling vocal motor exploration in normal birds. METHODOLOGY/PRINCIPAL FINDINGS: After two hours in either singing or non-singing conditions (previously shown to produce differential area X FoxP2 levels, phonological and sequential features of the subsequent songs were compared across conditions in the same bird. In line with our prediction, analysis of songs sung by 75 day (75d birds revealed that syllable structure was more variable and sequence stereotypy was reduced following two hours of continuous practice compared to these features following two hours of non-singing. Similar trends in song were observed in these birds at 65d, despite higher overall within-condition variability at this age. CONCLUSIONS/SIGNIFICANCE: Together with previous work, these findings point to the importance of behaviorally-driven acute periods during song learning that allow for both refinement and reinforcement of motor patterns. Future work is aimed at testing the observation that not only does vocal practice influence expression of molecular networks, but that these networks then influence subsequent variability in these skills.

  6. Aligning Needs, Expectations, and Learning Outcomes to Sustain Self-Efficacy through Transfer Learning Community Programs

    Science.gov (United States)

    Leptien, Jennifer R.

    2015-01-01

    This chapter addresses strengths and difficulties encountered in implementing transfer learning community models and how efficacy is supported through transfer learning community programming. Transfer programming best practices and recommendations for program improvements are presented.

  7. Comparison of Chemistry Learning Outcomes with Inquiry Learning Model and Learning Cycle 5E in Material Solubility and Solubility Multiplication Results

    Directory of Open Access Journals (Sweden)

    Nur Indah Firdausi

    2015-04-01

    Full Text Available Perbandingan Hasil Belajar Kimia dengan Model Pembelajaran Inquiry dan Learning Cycle 5E pada Materi Kelarutan dan Hasil Kali Kelarutan   Abstract: This research is aimed to compare the effectiveness between inquiry and LC 5E in solubility equilibria and the solubility product for students with different prior knowledge. The effectiveness of both learning models is measured from students learning outcome. This quasi experimental research uses factorial2x2 with posttest only design. Research samples are chosen using cluster random sampling. They are two classes of XI IPA SMAN 1 Kepanjen in the 2012/2013 academic year which consist of 31 students in each class. Cognitive learning outcome is measured by test items consist of four objective items and nine subjective items. Technique of data analysis in this research is two way ANOVA. Research results show that: (1 cognitive learning outcome and higher cognitive learning outcome of students in inquiry class is higher than students in LC 5E class; (2 cognitive learning outcome and higher cognitive learning outcome of students who have upper prior knowledge is higher than students who have lower prior knowledge in both inquiry and LC 5E. Key Words: learning outcome, inquiry, learning cycle 5E, solubility equilibria and the solubility product   Abstrak: Penelitian ini bertujuan membandingkan keefektifan model inquiry dan LC 5E pada materi kelarutan dan hasil kali kelarutan untuk siswa dengan kemampuan awal berbeda. Keefektifan model pembelajaran dilihat dari hasil belajar kognitif siswa. Penelitian ini menggunakan rancangan eksperimen semu dengan desain faktorial 2x2. Subjek penelitian dipilih secara cluster random sampling yaitu dua kelas XI IPA SMAN 1 Kepanjen dengan jumlah masing-masing kelas sebanyak 31 siswa. Instrumen perlakuan yang digunakan adalah silabus dan RPP sedangkan instrumen pengukuran berupa soal tes terdiri dari empat soal objektif dan sembilan soal subjektif. Teknik analisis data

  8. Professional development in sport psychology : relating learning experiences to learning outcomes

    NARCIS (Netherlands)

    Hutter, R. I. (Vana); Oldenhof-Veldman, Tanja; Pijpers, J. R. (Rob); Oudejans, Raôul R.D.

    2017-01-01

    To enhance the training of sport psychology consultants, it is important to know which learning experiences are useful for which components of professional development. We interviewed 15 novice consultants on their learning experiences related to 13 different topics. Traditional learning experiences

  9. Variable complexity online sequential extreme learning machine, with applications to streamflow prediction

    Science.gov (United States)

    Lima, Aranildo R.; Hsieh, William W.; Cannon, Alex J.

    2017-12-01

    In situations where new data arrive continually, online learning algorithms are computationally much less costly than batch learning ones in maintaining the model up-to-date. The extreme learning machine (ELM), a single hidden layer artificial neural network with random weights in the hidden layer, is solved by linear least squares, and has an online learning version, the online sequential ELM (OSELM). As more data become available during online learning, information on the longer time scale becomes available, so ideally the model complexity should be allowed to change, but the number of hidden nodes (HN) remains fixed in OSELM. A variable complexity VC-OSELM algorithm is proposed to dynamically add or remove HN in the OSELM, allowing the model complexity to vary automatically as online learning proceeds. The performance of VC-OSELM was compared with OSELM in daily streamflow predictions at two hydrological stations in British Columbia, Canada, with VC-OSELM significantly outperforming OSELM in mean absolute error, root mean squared error and Nash-Sutcliffe efficiency at both stations.

  10. Learner differences and learning outcomes in an introductory biochemistry class: attitude toward images, visual cognitive skills, and learning approach.

    Science.gov (United States)

    Milner, Rachel E

    2014-01-01

    The practice of using images in teaching is widespread, and in science education images are used so extensively that some have argued they are now the "main vehicle of communication" (C. Ferreira, A. Arroio Problems Educ. 21st Century 2009, 16, 48-53). Although this phenomenon is especially notable in the field of biochemistry, we know little about the role and importance of images in communicating concepts to students in the classroom. This study reports the development of a scale to assess students' attitude toward biochemical images, particularly their willingness and ability to use the images to support their learning. In addition, because it is argued that images are central in the communication of biochemical concepts, we investigated three "learner differences" which might impact learning outcomes in this kind of classroom environment: attitude toward images, visual cognitive skills, and learning approach. Overall, the students reported a positive attitude toward the images, the majority agreeing that they liked images and considered them useful. However, the participants also reported that verbal explanations were more important than images in helping them to understand the concepts. In keeping with this we found that there was no relationship between learning outcomes and the students' self-reported attitude toward images or visual cognitive skills. In contrast, learning outcomes were significantly correlated with the students' self-reported approach to learning. These findings suggest that images are not necessarily the main vehicle of communication in a biochemistry classroom and that verbal explanations and encouragement of a deep learning approach are important considerations in improving our pedagogical approach. © 2013 International Union of Biochemistry and Molecular Biology, Inc.

  11. The Effect of Guided Inquiry Learning with Mind Map to Science Process Skills and Learning Outcomes of Natural Sciences

    Directory of Open Access Journals (Sweden)

    Hilman .

    2015-04-01

    Full Text Available Pengaruh Pembelajaran Inkuiri Terbimbing dengan Mind Map terhadap Keterampilan Proses Sains dan Hasil Belajar IPA   Abstract: Science learning in junior high school aims to enable students conducts scientific inquiry, improves knowledge, concepts, and science skills. Organization materials for students supports learning process so that needs to be explored techniques that allows students to enable it. This study aimed to determine the effect of guided inquiry learning with mind map on science process skills and cognitive learning outcomes. This experimental quasi studey used pretest-posttest control group design and consisted eighth grade students of SMP Negeri 1 Papalang Mamuju of West Sulawesi. The results showed there where significant positive effect of guided inquiry learning with mind map on process science skills and cognitive learning outcomes. Key Words: guided inquiry, mind map, science process skills, cognitive learning outcomes   Abstrak: Pembelajaran Ilmu Pengetahuan Alam (IPA di SMP bertujuan agar siswa dapat melakukan inkuiri ilmiah, meningkatkan pengetahuan, konsep, dan keterampilan IPA. Dalam pembelajaran, organisasi materi berperan penting dalam memudahkan anak belajar sehingga perlu ditelaah teknik yang memudahkan siswa membuat organisasi materi. Penelitian ini bertujuan mengetahui pengaruh pembelajaran inkuiri terbimbing dengan mind map terhadap keterampilan proses sains dan hasil belajar kognitif. Penelitian kuasi eksperimen ini menggunakan rancangan pre test-post test control group design dengan subjek penelitian siswa kelas VIII SMP Negeri 1 Papalang. Hasil penelitian menunjukkan ada pengaruh positif yang signifikan pembelajaran inkuiri terbimbing dengan mind map terhadap kemampuan keterampilan proses sains dan hasil belajar kognitif siswa. Kata kunci:  inkuiri terbimbing, mind map, keterampilan proses sains,  hasil belajar kognitif

  12. Visual Literacy Skills of Students in College-Level Biology: Learning Outcomes Following Digital or Hand-Drawing Activities

    Science.gov (United States)

    Bell, Justine C.

    2014-01-01

    To test the claim that digital learning tools enhance the acquisition of visual literacy in this generation of biology students, a learning intervention was carried out with 33 students enrolled in an introductory college biology course. This study compared learning outcomes following two types of learning tools: a traditional drawing activity, or…

  13. Nonlinear Synchronization for Automatic Learning of 3D Pose Variability in Human Motion Sequences

    Directory of Open Access Journals (Sweden)

    Mozerov M

    2010-01-01

    Full Text Available A dense matching algorithm that solves the problem of synchronizing prerecorded human motion sequences, which show different speeds and accelerations, is proposed. The approach is based on minimization of MRF energy and solves the problem by using Dynamic Programming. Additionally, an optimal sequence is automatically selected from the input dataset to be a time-scale pattern for all other sequences. The paper utilizes an action specific model which automatically learns the variability of 3D human postures observed in a set of training sequences. The model is trained using the public CMU motion capture dataset for the walking action, and a mean walking performance is automatically learnt. Additionally, statistics about the observed variability of the postures and motion direction are also computed at each time step. The synchronized motion sequences are used to learn a model of human motion for action recognition and full-body tracking purposes.

  14. Blood pressure variability in relation to outcome in the International Database of Ambulatory blood pressure in relation to Cardiovascular Outcome

    DEFF Research Database (Denmark)

    Stolarz-Skrzypek, Katarzyna; Thijs, Lutgarde; Richart, Tom

    2010-01-01

    Ambulatory blood pressure (BP) monitoring provides information not only on the BP level but also on the diurnal changes in BP. In the present review, we summarized the main findings of the International Database on Ambulatory BP in relation to Cardiovascular Outcome (IDACO) with regard to risk...

  15. Learning outcomes using video in supervision and peer feedback during clinical skills training

    DEFF Research Database (Denmark)

    Lauridsen, Henrik Hein; Toftgård, Rie Castella; Nørgaard, Cita

    supervision of clinical skills (formative assessment). Demonstrations of these principles will be presented as video podcasts during the session. The learning outcomes of video supervision and peer-feedback were assessed in an online questionnaire survey. Results Results of the supervision showed large self......Objective New technology and learning principles were introduced in a clinical skills training laboratory (iLab). The intension was to move from apprenticeship to active learning principles including peer feedback and supervision using video. The objective of this study was to evaluate student...... learning outcomes in a manual skills training subject using video during feedback and supervision. Methods The iLab classroom was designed to fit four principles of teaching using video. Two of these principles were (a) group work using peer-feedback on videos produced by the students and, (b) video...

  16. Heritage learning outcomes in the Nordic and Baltic area

    DEFF Research Database (Denmark)

    Fristrup, Tine; Kling, Sofia,; Sonne, Lasse

    , there is a cultural heritage sector in a somewhat new arena, where concepts such as citizenship, lifelong learning, social cohesion and human capital are central. This means that museums and archives need to find new ways to justify their activities: it is no longer sufficient to focus on the collection and the care...... and preservation of documents and objects. On the contrary, it has become increasingly important to create new areas of use, relevant to the surrounding society, for the documents and objects chosen for preservation. These guidelines relate to competence development among adult visitors to archives and museums...

  17. Forum: Learning Outcomes in Communication. Upside Down/Side Up: Problematizing Teacher Communication Behaviors and Learning Outcomes in Communication

    Science.gov (United States)

    Dannels, Deanna P.; Toale, Mary C.; Backlund, Philip M.; Frederick, John G. M.; Love, Brad

    2016-01-01

    Could teacher communication behaviors generally assumed to be positive ever be detrimental to student realization of particular outcomes? This essay argues for increased scholarly attention to this question. The authors advocate a research agenda that explores the potential "downside" of teacher communication behaviors (TCBs);…

  18. Political Regime and Learning Outcomes of Stakeholder Participation: Cross-National Study of 81 Biosphere Reserves

    Directory of Open Access Journals (Sweden)

    Alba Mohedano Roldán

    2017-04-01

    Full Text Available Stakeholder participation in natural resource management has spread widely, even to nondemocracies, driven by expectations of beneficial outcomes such as multidirectional learning. However, can we expect participation to be equally effective in achieving multidirectional learning in democracies and nondemocracies? Unsurprisingly, previous studies indicate the relevance of power distribution for learning. Higher levels of repression and accumulation of political capital in nondemocracies should limit the distribution of power across stakeholders. Yet, the relationship between political regime, participation, and learning has rarely been studied empirically. I address this gap by analysing multidirectional learning in stakeholder participation in 81 Man and the Biosphere reserves across 35 countries using ordinary least squares regression, Firth logistic regression, and heat maps. The results suggest that the amount of stakeholders sharing knowledge and learning is similar in both regimes. However, a closer analysis reveals differences in the impact different stakeholders have on the learning process. More concretely, local actors share knowledge more often and have a greater impact on stakeholders’ learning in democracies, while state actors display similar behavior across regimes in terms of learning and sharing knowledge. Thus, although there are notable similarities across regimes, multidirectional learning through stakeholder participation is influenced by the political context.

  19. The Explained Effects of Computer Mediated Conferencing on Student Learning Outcomes and Engagement

    OpenAIRE

    Cain, Darrell L.

    2005-01-01

    There has been an increasing growth in the use of technology resources in traditional classroom styled higher education courses. This growth has received with both optimism and criticism. One of the issues critics have posed is that the use of technology resources does little, if anything, to improve student learning. As a result, this research examined if the use of technology contributes to student learning outcomes and student engagement activities, above and beyond student demographic var...

  20. Teleconsultation with a Developing Country: Student Reported Outcomes of Learning

    Directory of Open Access Journals (Sweden)

    Megan K. Foti

    2014-09-01

    Full Text Available This qualitative study explored the benefits of implementing (international teleconsultation in a Master of Science in Occupational Therapy (MSOT curriculum. Twenty-one students provided supervised teleconsultative services to individuals with disabilities in Guatemala and were responsible for completing assessments, setting goals, and providing resources to address goals and improve quality of life.  Data were collected through student presentations and coded for relevant themes. Analysis revealed new learning in the areas of the occupational therapy process, cultural awareness, and technology. Three themes emerged:  Increased Understanding of Awareness of and Challenges to Working with People of Different Culture; Need for Adaptability and Flexibility as Practicing Clinicians; Emerging Role of Technology in Occupational Therapy. Based on results from this study, occupational therapy academicians should consider implementing similar programs into curricula and conduct related research in order to promote not only student learning, but also to advance the use of technology in occupational therapy practice.          

  1. Using Student Learning and Development Outcomes to Evaluate a First-Year Undergraduate Group Video Project

    Science.gov (United States)

    Jensen, Murray; Mattheis, Allison; Johnson, Brady

    2012-01-01

    Students in an interdisciplinary undergraduate introductory course were required to complete a group video project focused on nutrition and healthy eating. A mixed-methods approach to data collection involved observing and rating video footage of group work sessions and individual and focus group interviews. These data were analyzed and used to evaluate the effectiveness of the assignment in light of two student learning outcomes and two student development outcomes at the University of Minnesota. Positive results support the continued inclusion of the project within the course, and recommend the assignment to other programs as a viable means of promoting both content learning and affective behavioral objectives. PMID:22383619

  2. Soft Tissue Sarcoma: A Prognostic Variables and Treatment Outcomes after Chemo - Radiotherapy and Conservative Surgery

    International Nuclear Information System (INIS)

    Abaza, A.; El-Shanshoury, H.

    2015-01-01

    Soft tissue sarcomas (STS) constitute a group of rare and heterogeneous cancers, that diverse a wide spectrum of histology and varied clinical behavior. The aim was to study, retrospectively the clinico-epidemiologic manifestation, response to therapy and prognostic factors of retroperitoneal (RPS), extremity and other STS patients treated with conservative surgery plus chemo - radiotherapy (CRT) attending the Pediatric Oncology Clinic, National Cancer Institute (NCI), Cairo University during 6 years period (inclusive). Files of 66 STS patients were revised for history, staging, investigations, treatment modalities and outcome of therapy. Their ages ranged from 6 months to 21 years. The male to female ratio was 1.87:1. Most of the patients belong to stage 3 and 1. Radiotherapy (RTH) and surgery remains the backbone of the multi - modality treatment plan. Complete remission (CR) was obtained in 80.3% of STS patients. Meanwhile, 6% of cases had disease progression and 6% died. The 2 - years overall survival rate (OS) and Disease - free survivals (DFS) we re 74.2% and 57.6% respectively. However, 20.8% of patients develop relapse>2 years after the end of treatment. Age at diagnosis, stage of the disease, tumor mass, pathological subtype and the RTH used were statistically significant prognostic variables affecting survival. Finally, the use of RTH in the treatment of STS gives positive impact on the survival of patients. Recommendation regarding further studies would be required to identify methods of increasing the radiation dose selectively. Also, using the newly developed radiation technologies to make dose escalation and sparing normal tissue

  3. Neutropenia in Patients with Common Variable Immunodeficiency: a Rare Event Associated with Severe Outcome.

    Science.gov (United States)

    Guffroy, Aurélien; Mourot-Cottet, Rachel; Gérard, Laurence; Gies, Vincent; Lagresle, Chantal; Pouliet, Aurore; Nitschké, Patrick; Hanein, Sylvain; Bienvenu, Boris; Chanet, Valérie; Donadieu, Jean; Gardembas, Martine; Karmochkine, Marina; Nove-Josserand, Raphaele; Martin, Thierry; Poindron, Vincent; Soulas-Sprauel, Pauline; Rieux-Laucat, Fréderic; Fieschi, Claire; Oksenhendler, Eric; André-Schmutz, Isabelle; Korganow, Anne-Sophie

    2017-10-01

    Common variable immunodeficiency (CVID) is characterized by infections and hypogammaglobulinemia. Neutropenia is rare during CVID. The French DEFI study enrolled patients with primary hypogammaglobulinemia. Patients with CVID and neutropenia were retrospectively analyzed. Among 473 patients with CVID, 16 patients displayed neutropenia (lowest count [0-1400]*10 6 /L). Sex ratio (M/F) was 10/6. Five patients died during the follow-up (11 years) with an increased percentage of deaths compared to the whole DEFI group (31.3 vs 3.4%, P < 0.05). Neutropenia was diagnosed for 10 patients before 22 years old. The most frequent symptoms, except infections, were autoimmune cytopenia, i.e., thrombopenia or anemia (11/16). Ten patients were affected with lymphoproliferative diseases. Two patients were in the infection only group and the others belonged to one or several other CVID groups. The median level of IgG was 2.6 g/L [0.35-4.4]. Most patients presented increased numbers of CD21 low CD38 low B cell, as already described in CVID autoimmune cytopenia group. Neutropenia was considered autoimmune in 11 cases. NGS for 52 genes of interest was performed on 8 patients. No deleterious mutations were found in LRBA, CTLA4, and PIK3. More than one potentially damaging variant in other genes associated with CVID were present in most patients arguing for a multigene process. Neutropenia is generally associated with another cytopenia and presumably of autoimmune origin during CVID. In the DEFI study, neutropenia is coupled with more severe clinical outcomes. It appears as an "alarm bell" considering patients' presentation and the high rate of deaths. Whole exome sequencing diagnosis should improve management.

  4. Regulating task-monitoring systems in response to variable reward contingencies and outcomes in cocaine addicts.

    Science.gov (United States)

    Morie, Kristen P; De Sanctis, Pierfilippo; Garavan, Hugh; Foxe, John J

    2016-03-01

    We investigated anticipatory and consummatory reward processing in cocaine addiction. In addition, we set out to assess whether task-monitoring systems were appropriately recalibrated in light of variable reward schedules. We also examined neural measures of task-monitoring and reward processing as a function of hedonic tone, since anhedonia is a vulnerability marker for addiction that is obviously germane in the context of reward processing. High-density event-related potentials were recorded while participants performed a speeded response task that systematically varied anticipated probabilities of reward receipt. The paradigm dissociated feedback regarding task success (or failure) from feedback regarding the value of reward (or loss), so that task-monitoring and reward processing could be examined in partial isolation. Twenty-three active cocaine abusers and 23 age-matched healthy controls participated. Cocaine abusers showed amplified anticipatory responses to reward predictive cues, but crucially, these responses were not as strongly modulated by reward probability as in controls. Cocaine users also showed blunted responses to feedback about task success or failure and did not use this information to update predictions about reward. In turn, they showed clearly blunted responses to reward feedback. In controls and users, measures of anhedonia were associated with reward motivation. In cocaine users, anhedonia was also associated with diminished monitoring and reward feedback responses. Findings imply that reward anticipation and monitoring deficiencies in addiction are associated with increased responsiveness to reward cues but impaired ability to predict reward in light of task contingencies, compounded by deficits in responding to actual reward outcomes.

  5. Resting heart rate variability predicts safety learning and fear extinction in an interoceptive fear conditioning paradigm.

    Directory of Open Access Journals (Sweden)

    Meike Pappens

    Full Text Available This study aimed to investigate whether interindividual differences in autonomic inhibitory control predict safety learning and fear extinction in an interoceptive fear conditioning paradigm. Data from a previously reported study (N = 40 were extended (N = 17 and re-analyzed to test whether healthy participants' resting heart rate variability (HRV - a proxy of cardiac vagal tone - predicts learning performance. The conditioned stimulus (CS was a slight sensation of breathlessness induced by a flow resistor, the unconditioned stimulus (US was an aversive short-lasting suffocation experience induced by a complete occlusion of the breathing circuitry. During acquisition, the paired group received 6 paired CS-US presentations; the control group received 6 explicitly unpaired CS-US presentations. In the extinction phase, both groups were exposed to 6 CS-only presentations. Measures included startle blink EMG, skin conductance responses (SCR and US-expectancy ratings. Resting HRV significantly predicted the startle blink EMG learning curves both during acquisition and extinction. In the unpaired group, higher levels of HRV at rest predicted safety learning to the CS during acquisition. In the paired group, higher levels of HRV were associated with better extinction. Our findings suggest that the strength or integrity of prefrontal inhibitory mechanisms involved in safety- and extinction learning can be indexed by HRV at rest.

  6. Vocabulary relearning in semantic dementia: Positive and negative consequences of increasing variability in the learning experience.

    Science.gov (United States)

    Hoffman, Paul; Clarke, Natasha; Jones, Roy W; Noonan, Krist A

    2015-09-01

    Anomia therapy typically aims to improve patients' communication ability through targeted practice in naming a set of particular items. For such interventions to be of maximum benefit, the use of trained (or relearned) vocabulary must generalise from the therapy setting into novel situations. We investigated relearning in three patients with semantic dementia, a condition that has been associated with poor generalisation of relearned vocabulary. We tested two manipulations designed to improve generalisation of relearned words by introducing greater variation into the learning experience. In the first study, we found that trained items were retained more successfully when they were presented in a variety of different sequences during learning. In the second study, we found that training items using a range of different pictured exemplars improved the patients' ability to generalise words to novel instances of the same object. However, in one patient this came at the cost of inappropriate over-generalisations, in which trained words were incorrectly used to name semantically or visually similar objects. We propose that more variable learning experiences benefit patients because they shift responsibility for learning away from the inflexible hippocampal learning system and towards the semantic system. The success of this approach therefore depends critically on the integrity of the semantic representations of the items being trained. Patients with naming impairments in the context of relatively mild comprehension deficits are most likely to benefit from this approach, while avoiding the negative consequences of over-generalisation. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

  7. Inferior outcomes for black children with high risk acute lymphoblastic leukemia and the impact of socioeconomic variables.

    Science.gov (United States)

    Walsh, Alexandra; Chewning, Joseph; Li, Xuelin; Dai, Chen; Whelan, Kimberly; Madan-Swain, Avi; Waterbor, John; Baskin, Monica L; Goldman, Frederick D

    2017-02-01

    While significant improvements have been made for children with acute lymphoblastic leukemia (ALL) in the United States over the past 20 years, black patients continue to have inferior outcomes. The full impact of socioeconomic variables on outcomes in this minority population is not entirely understood. Disease characteristics, demographic, and socioeconomic status (SES) variables were collected on black (n = 44) and white (n = 178) patients diagnosed at the University of Alabama at Birmingham. Cox proportional hazard regression was used to evaluate the influence of SES and insurance status on survival. As a cohort, 5-year overall survival (OS) was 87% (82-91%), with a median follow-up of 99 months. In univariable analysis, black race was not significantly associated with a higher risk of death or relapse and death. White and black patients with standard-risk leukemia had excellent outcomes, with 97% (91-99%) and 96% (75-99%) 5-year OS, respectively. In contrast, for high-risk disease, white patients had a statistically significant improved 5-year OS rates compared with black patients (79% [68-87%] vs. 52% [28-72%]). Black children were more likely to have public insurance, and, in multivariable analysis, this was associated with a trend toward an improved outcome. Black patients also had poorer census tract-level SES parameters, but these variables were not associated with survival. Our study demonstrates significantly inferior outcomes for black children with high-risk leukemia. These outcome disparities were not related to SES variables, including poverty or private insurance coverage, suggesting the involvement of other factors and highlighting the need for a prospective investigative analysis. © 2016 Wiley Periodicals, Inc.

  8. Career and Technical Education, Inclusion, and Postsecondary Outcomes for Students With Learning Disabilities.

    Science.gov (United States)

    Theobald, Roddy J; Goldhaber, Dan D; Gratz, Trevor M; Holden, Kristian L

    2018-05-01

    We used longitudinal data from Washington State to investigate the relationships among career and technical education (CTE) enrollment, inclusion in general education, and high school and postsecondary outcomes for students with learning disabilities. We replicated earlier findings that students with learning disabilities who were enrolled in a "concentration" of CTE courses had higher rates of employment after graduation than observably similar students with learning disabilities who were enrolled in fewer CTE courses. We also found that students with learning disabilities who spent more time in general education classrooms in high school had higher rates of on-time graduation, college attendance, and employment than observably similar students with learning disabilities who spent less time in general education classrooms in these grades.

  9. The Impact of Taiwanese College Students' Learning Motivation from Self-Determination Perspective on Learning Outcomes: Moderating Roles of Multi-Traits

    Science.gov (United States)

    Ho, Sophia Shi-Huei

    2017-01-01

    The purpose of this study is to explore the associations among learning motivation, engagement and outcomes, and the moderating role of various traits in the relationship between deep approaches to learning and outcomes. Based on data from 2,340 students in multiple universities in Taiwan, this study proposes two alternative models, tested by…

  10. ACTIVE LEARNING TO OVERCOME SAMPLE SELECTION BIAS: APPLICATION TO PHOTOMETRIC VARIABLE STAR CLASSIFICATION

    Energy Technology Data Exchange (ETDEWEB)

    Richards, Joseph W.; Starr, Dan L.; Miller, Adam A.; Bloom, Joshua S.; Butler, Nathaniel R.; Berian James, J. [Astronomy Department, University of California, Berkeley, CA 94720-7450 (United States); Brink, Henrik [Dark Cosmology Centre, Juliane Maries Vej 30, 2100 Copenhagen O (Denmark); Long, James P.; Rice, John, E-mail: jwrichar@stat.berkeley.edu [Statistics Department, University of California, Berkeley, CA 94720-7450 (United States)

    2012-01-10

    Despite the great promise of machine-learning algorithms to classify and predict astrophysical parameters for the vast numbers of astrophysical sources and transients observed in large-scale surveys, the peculiarities of the training data often manifest as strongly biased predictions on the data of interest. Typically, training sets are derived from historical surveys of brighter, more nearby objects than those from more extensive, deeper surveys (testing data). This sample selection bias can cause catastrophic errors in predictions on the testing data because (1) standard assumptions for machine-learned model selection procedures break down and (2) dense regions of testing space might be completely devoid of training data. We explore possible remedies to sample selection bias, including importance weighting, co-training, and active learning (AL). We argue that AL-where the data whose inclusion in the training set would most improve predictions on the testing set are queried for manual follow-up-is an effective approach and is appropriate for many astronomical applications. For a variable star classification problem on a well-studied set of stars from Hipparcos and Optical Gravitational Lensing Experiment, AL is the optimal method in terms of error rate on the testing data, beating the off-the-shelf classifier by 3.4% and the other proposed methods by at least 3.0%. To aid with manual labeling of variable stars, we developed a Web interface which allows for easy light curve visualization and querying of external databases. Finally, we apply AL to classify variable stars in the All Sky Automated Survey, finding dramatic improvement in our agreement with the ASAS Catalog of Variable Stars, from 65.5% to 79.5%, and a significant increase in the classifier's average confidence for the testing set, from 14.6% to 42.9%, after a few AL iterations.

  11. ACTIVE LEARNING TO OVERCOME SAMPLE SELECTION BIAS: APPLICATION TO PHOTOMETRIC VARIABLE STAR CLASSIFICATION

    International Nuclear Information System (INIS)

    Richards, Joseph W.; Starr, Dan L.; Miller, Adam A.; Bloom, Joshua S.; Butler, Nathaniel R.; Berian James, J.; Brink, Henrik; Long, James P.; Rice, John

    2012-01-01

    Despite the great promise of machine-learning algorithms to classify and predict astrophysical parameters for the vast numbers of astrophysical sources and transients observed in large-scale surveys, the peculiarities of the training data often manifest as strongly biased predictions on the data of interest. Typically, training sets are derived from historical surveys of brighter, more nearby objects than those from more extensive, deeper surveys (testing data). This sample selection bias can cause catastrophic errors in predictions on the testing data because (1) standard assumptions for machine-learned model selection procedures break down and (2) dense regions of testing space might be completely devoid of training data. We explore possible remedies to sample selection bias, including importance weighting, co-training, and active learning (AL). We argue that AL—where the data whose inclusion in the training set would most improve predictions on the testing set are queried for manual follow-up—is an effective approach and is appropriate for many astronomical applications. For a variable star classification problem on a well-studied set of stars from Hipparcos and Optical Gravitational Lensing Experiment, AL is the optimal method in terms of error rate on the testing data, beating the off-the-shelf classifier by 3.4% and the other proposed methods by at least 3.0%. To aid with manual labeling of variable stars, we developed a Web interface which allows for easy light curve visualization and querying of external databases. Finally, we apply AL to classify variable stars in the All Sky Automated Survey, finding dramatic improvement in our agreement with the ASAS Catalog of Variable Stars, from 65.5% to 79.5%, and a significant increase in the classifier's average confidence for the testing set, from 14.6% to 42.9%, after a few AL iterations.

  12. Active Learning to Overcome Sample Selection Bias: Application to Photometric Variable Star Classification

    Science.gov (United States)

    Richards, Joseph W.; Starr, Dan L.; Brink, Henrik; Miller, Adam A.; Bloom, Joshua S.; Butler, Nathaniel R.; James, J. Berian; Long, James P.; Rice, John

    2012-01-01

    Despite the great promise of machine-learning algorithms to classify and predict astrophysical parameters for the vast numbers of astrophysical sources and transients observed in large-scale surveys, the peculiarities of the training data often manifest as strongly biased predictions on the data of interest. Typically, training sets are derived from historical surveys of brighter, more nearby objects than those from more extensive, deeper surveys (testing data). This sample selection bias can cause catastrophic errors in predictions on the testing data because (1) standard assumptions for machine-learned model selection procedures break down and (2) dense regions of testing space might be completely devoid of training data. We explore possible remedies to sample selection bias, including importance weighting, co-training, and active learning (AL). We argue that AL—where the data whose inclusion in the training set would most improve predictions on the testing set are queried for manual follow-up—is an effective approach and is appropriate for many astronomical applications. For a variable star classification problem on a well-studied set of stars from Hipparcos and Optical Gravitational Lensing Experiment, AL is the optimal method in terms of error rate on the testing data, beating the off-the-shelf classifier by 3.4% and the other proposed methods by at least 3.0%. To aid with manual labeling of variable stars, we developed a Web interface which allows for easy light curve visualization and querying of external databases. Finally, we apply AL to classify variable stars in the All Sky Automated Survey, finding dramatic improvement in our agreement with the ASAS Catalog of Variable Stars, from 65.5% to 79.5%, and a significant increase in the classifier's average confidence for the testing set, from 14.6% to 42.9%, after a few AL iterations.

  13. The Effects of Self-Determination on Learning Outcomes in a Blended Learning

    Science.gov (United States)

    Joo, Young Ju; Lim, Kyu Yon; Han, Sang Yoon; Ham, Yoo Kyoung; Kang, Aran

    2013-01-01

    The purpose of the paper is to examine whether the sub-constructs of self-determination, that is, learners' perceived level of autonomy, competence, and relatedness, predict learning flow, persistence, and achievement in a blended learning context. Participants are 102 adult learners who voluntarily registered for a Chinese language learning…

  14. The Impact of a Psychology Learning Community on Academic Success, Retention, and Student Learning Outcomes

    Science.gov (United States)

    Buch, Kim; Spaulding, Sue

    2011-01-01

    Learning communities have become an integral part of the educational reform movement of the past two decades and have been heralded as a promising strategy for restructuring undergraduate education. This study used a matched control group design to examine the impact of participation in a psychology learning community (PLC) on a range of student…

  15. Family, Learning Environments, Learning Approaches, and Student Outcomes in a Malaysian Private University

    Science.gov (United States)

    Kek, Megan A. Yih Chyn; Darmawan, I. Gusti Ngurah; Chen, Yu Sui

    2007-01-01

    This article presents the quantitative findings from a mixed methods study of students and faculty at a private medical university in Malaysia. In particular, the relationships among students' individual characteristics, general self-efficacy, family context, university and classroom learning environments, curriculum, approaches to learning, and…

  16. Outcomes of a Self-Regulated Learning Curriculum Model

    Science.gov (United States)

    Peters-Burton, Erin E.

    2015-10-01

    The purpose of this study was to describe connections among students' views of nature of science in relation to the goals of a curriculum delivered in a unique setting, one where a researcher and two teachers collaborated to develop a course devoted to teaching students about how knowledge is built in science. Students proceeded through a cycle of self-regulated phases, forethought, performance, and self-reflection, during each segment of the curriculum: (a) independent research, (b) knowledge building in the discipline of science, and (c) a citizen science project. Student views were measured at the beginning and end of the course using epistemic network analysis. The pretest map reported student understanding of science as experimentation and indicated three clusters representing the durability of knowledge, empirical evidence, and habits of mind, which were loosely connected and represented knowledge generation as external to personal thinking. The posttest map displayed a broader understanding of scientific endeavors beyond experimentation, a shift toward personal knowledge generation, and indicated a larger number of connections among three more tightly oriented clusters: empirical evidence, habits of mind, and tentativeness. Implications include the potential to build curriculum that purposefully considers reinforcing cycles of learning of the nature of science in different contexts.

  17. Learning outcomes with visual thinking strategies in nursing education.

    Science.gov (United States)

    Moorman, Margaret; Hensel, Desiree; Decker, Kim A; Busby, Katie

    2017-04-01

    There is a need to develop innovative strategies that cultivate broad cognitive, intrapersonal, and interpersonal skills in nursing curricula. The purpose of this project was to explore transferable skills students gained from Visual Thinking Strategies (VTS). This qualitative descriptive study was conducted with 55 baccalaureate nursing students enrolled in an entry level healthy population course. The students participated in a 1h VTS session led by a trained facilitator. Data came from the group's written responses to a question about how they would use skills learned from VTS in caring for patients and in their nursing practice. Content analysis showed students perceived gaining observational, cognitive, interpersonal, and intrapersonal skills from the VTS session. VTS is a unique teaching strategy that holds the potential to help nursing students develop a broad range of skills. Studies are needed on optimal exposure needed to develop observational, communication, collaboration, and critical thinking skills. Research is also needed on how skills gained in VTS translate to practice. Copyright © 2016 Elsevier Ltd. All rights reserved.

  18. The Effectiveness of KNOS-KGS Learning Model to Improve Generic Science Skill and Biology Student Learning Outcomes SMA PGRI 1 Banjarmasin

    OpenAIRE

    Nefianthi, Rezky

    2015-01-01

    This study aims to determine the effectiveness of the model KNOS-KGS, to improve the learning outcomes of Biology at the ecosystem material in class X SMA PGRI 1 Banjarmasin. This research is a classroom action research, conducted in two cycles. Each cycle is done with two meetings. This study was conducted on 25 students in class X1. The research data is the result of student learning that consists of cognitive learning outcomes such as pretest and posttest. Affective learning outcomes such ...

  19. What's the VALUE of Information Literacy? Comparing Learning Community and Non-Learning Community Student Learning Outcomes

    Science.gov (United States)

    Rapchak, Marcia E.; Brungard, Allison B.; Bergfelt, Theodore W.

    2016-01-01

    Using the Information Literacy VALUE Rubric provided by the AAC&U, this study compares thirty final capstone assignments in a research course in a learning community with thirty final assignments in from students not in learning communities. Results indicated higher performance of the non-learning community students; however, transfer skills…

  20. The Association between Students' Style of Learning Preferences, Social Presence, Collaborative Learning and Learning Outcomes

    Science.gov (United States)

    Chen, Clement; Jones, Keith T.; Xu, Shawn

    2018-01-01

    Differences in styles of learning have become important considerations at all levels of education over the last several years. Examining college students' preferred style of learning is useful for course design and effective instructional methods. Using the Felder-Silverman Index of Learning Styles (ILS), we investigate how students' styles of…

  1. Effect of Kolb's Learning Styles under Inductive Guided-Inquiry Learning on Learning Outcomes

    Science.gov (United States)

    Sudria, Ida Bagus Nyoman; Redhana, I. Wayan; Kirna, I. Made; Aini, Diah

    2018-01-01

    This study aimed to examine the effect of Kolb's learning styles on chemical learning activities and achievement of reaction rate taught by inductive guided inquiry learning. The population was eleventh grade Science students of a senior secondary school having relatively good academic input based on national testing results in Bali, Indonesia.…

  2. Exploring Student Perceptions, Learning Outcome and Gender Differences in a Flipped Mathematics Course

    Science.gov (United States)

    Chen, So-Chen; Yang, Stephen J. H.; Hsiao, Chia-Chang

    2016-01-01

    The flipped classroom approach has recently gained prominence in education. However, a review of previous studies shows that the relationship associated with gender difference, student perceptions and learning outcomes has still remained unexplored, and there has been little discussion regarding flipped classroom environment. To fill this gap,…

  3. Tablet Use in Schools: A Critical Review of the Evidence for Learning Outcomes

    Science.gov (United States)

    Haßler, B.; Major, L.; Hennessy, S.

    2016-01-01

    The increased popularity of tablets in general has led to uptake in education. We critically review the literature reporting use of tablets by primary and secondary school children across the curriculum, with a particular emphasis on learning outcomes. The systematic review methodology was used, and our literature search resulted in 33 relevant…

  4. Comparing Delivery Approaches to Teaching Abnormal Psychology: Investigating Student Perceptions and Learning Outcomes

    Science.gov (United States)

    Goette, William F.; Delello, Julie A.; Schmitt, Andrew L.; Sullivan, Jeremy R.; Rangel, Angelica

    2017-01-01

    This study compares the academic performance and perceptions of 114 undergraduate students enrolled in an abnormal psychology course. Specifically, this study focuses on whether face-to-face (F2F) or blended modalities are associated with student learning outcomes. In this study, data analysis was based upon the examination of end-of-course…

  5. New York College of Osteopathic Medicine Learning Outcomes Assessment 2009-2010

    Science.gov (United States)

    McCarthy, John R.; Mead, Pelham; Achziger, Mary Ann; Bruno, Felicia; Bryant, Claire; Goldstein, Leonard; Jeger, Abraham; Zaika, Rodika; Portanova, Ron

    2009-01-01

    This is a document that lays out the Mission of the NY College of Osteopathic Medicine's Mission Statement, It's 13 Goals and subsequent Objectives of Learning Outcomes. Benchmarks were established for each Educational Goal and defined further in Objectives. This document represents an historic attempt by NYCOM to address it's need for complete…

  6. Children with and without Learning Disabilities: A Comparison of Processes and Outcomes Following Group Counseling

    Science.gov (United States)

    Leichtentritt, Judith; Shechtman, Zipora

    2010-01-01

    This study compared outcomes and processes in counseling groups of an expressive-supportive modality for children with learning disabilities (LD) and without them (NLD). Participants were 266 students (ages 10-18), all referred for emotional, social, and behavioral difficulties; of these, 123 were identified with LD and 143 were not. There were 40…

  7. The Effect of Peer Review on Student Learning Outcomes in a Research Methods Course

    Science.gov (United States)

    Crowe, Jessica A.; Silva, Tony; Ceresola, Ryan

    2015-01-01

    In this study, we test the effect of in-class student peer review on student learning outcomes using a quasiexperimental design. We provide an assessment of peer review in a quantitative research methods course, which is a traditionally difficult and technical course. Data were collected from 170 students enrolled in four sections of a…

  8. Measuring Longitudinal Student Performance on Student Learning Outcomes in Sustainability Education

    Science.gov (United States)

    Jarchow, Meghann E.; Formisano, Paul; Nordyke, Shane; Sayre, Matthew

    2018-01-01

    Purpose: The purpose of this paper is to describe the student learning outcomes (SLOs) for a sustainability major, evaluate faculty incorporation of the SLOs into the courses in the sustainability major curriculum and measure student performance on the SLOs from entry into the major to the senior capstone course. Design/methodology/approach:…

  9. Information Problem-Solving Skills in Small Virtual Groups and Learning Outcomes

    Science.gov (United States)

    Garcia, Consuelo; Badia, Antoni

    2017-01-01

    This study investigated the frequency of use of information problem-solving (IPS) skills and its relationship with learning outcomes. During the course of the study, 40 teachers carried out a collaborative IPS task in small virtual groups in a 4-week online training course. The status of IPS skills was collected through self-reports handed in over…

  10. How does classroom composition affect learning outcomes in Ugandan primary schools?

    DEFF Research Database (Denmark)

    Jones, Edward Samuel

    2016-01-01

    There is widespread agreement that schooling quality should be a priority in the post-2015 education agenda, but less agreement on how quality can be enhanced in a cost effective manner. In Uganda, classroom overcrowding is often considered a critical cause of poor learning outcomes. This paper...

  11. Global Culture, Learning Style, and Outcome: An Interdisciplinary Empirical Study of International University Students

    Science.gov (United States)

    Strang, Kenneth David

    2010-01-01

    The study examined 2500 business degree students from 21 countries, enrolled at an Australian university, using a survey to assess learning style, which was integrated into a global culture taxonomy. The research hypothesis was that academic outcome could be explained through an interdisciplinary model, by integrating proven theories from…

  12. The Cognitive Information-Processing Systems of Leaders and Their Relation to Student Learning Outcomes

    Science.gov (United States)

    Cerni, Tom; Curtis, Guy J.; Colmar, Susan H.

    2014-01-01

    Research has shown that school principals who display transformational leadership are likely to influence organizational commitment and job satisfaction (Koh, 1990), and this in turn is thought to influence student learning outcomes. Based on a sample of experienced educational leaders (n = 88), this study examined if transformational leadership…

  13. Effect of Continuous Assessment on Learning Outcomes on Two Chemical Engineering Courses: Case Study

    Science.gov (United States)

    Tuunila, R.; Pulkkinen, M.

    2015-01-01

    In this paper, the effect of continuous assessment on the learning outcomes of two chemical engineering courses is studied over a several-year period. Average grades and passing percentages of courses after the final examination are reported and also student feedback on the courses is collected. The results indicate significantly better learning…

  14. On-Line Investment Analysis and Portfolio Management: Using Learning Outcome Statements To Design Projects.

    Science.gov (United States)

    Pettijohn, James B.; Ragan, Gay A.; Ragan, Kent P.

    2003-01-01

    Describes an Internet-based project to familiarize students with online investment analysis and stock portfolio management. Outlines a process for writing learning outcomes that address three levels of cognition: knowledge/comprehension, application/analysis, and synthesis/evaluation. (SK)

  15. A Mixed Methods Comparison of Teachers' Lunar Modeling Lesson Implementation and Student Learning Outcomes

    Science.gov (United States)

    Lamar, Mary F.; Wilhelm, Jennifer Anne; Cole, Merryn

    2018-01-01

    The authors compare three teachers' adaptations and implementation of a lunar modeling lesson to explain marked differences in student learning outcomes on a spatial-scientific lunar assessment. They used a modified version of the Practices of Science Observation Protocol (P-SOP; Forbes, Biggers, & Zangori, 2013) to identify ways in which…

  16. Teachers' Teaching Experience and Students' Learning Outcomes in Secondary Schools in Ondo State, Nigeria

    Science.gov (United States)

    Adeyemi, T. O.

    2008-01-01

    This article examined teachers' teaching experience and students' learning outcomes in the secondary schools in Ondo State Nigeria. As a correlational survey, the study population comprised all the 257 secondary schools in the State. This population was made up of 147 rural schools and 110 urban schools. It was also made up of 12 single sex…

  17. Strategies for Effective Dissemination of the Outcomes of Teaching and Learning Projects

    Science.gov (United States)

    Southwell, Deborah; Gannaway, Deanne; Orrell, Janice; Chalmers, Denise; Abraham, Catherine

    2010-01-01

    This paper describes an empirical study that addresses the question of how higher education institutions can disseminate effectively the outcomes of projects that seek to achieve large-scale change in teaching and learning. Traditionally, dissemination of innovation and good practice is strongly advocated within universities, but little…

  18. Developing a Rubric to Assess Student Learning Outcomes Using a Class Assignment

    Science.gov (United States)

    Thaler, Nicholas; Kazemi, Ellie; Huscher, Crystal

    2009-01-01

    We developed a rubric to assess several of our department's undergraduate student learning outcomes (SLOs). Target SLOs include applications of principles of research methodology, using appropriate statistics, adherence to the Publication Manual of the American Psychological Association, and written communication skills. We randomly sampled 20…

  19. Differently Structured Advance Organizers Lead to Different Initial Schemata and Learning Outcomes

    Science.gov (United States)

    Gurlitt, Johannes; Dummel, Sebastian; Schuster, Silvia; Nuckles, Matthias

    2012-01-01

    Does the specific structure of advance organizers influence learning outcomes? In the first experiment, 48 psychology students were randomly assigned to three differently structured advance organizers: a well-structured, a well-structured and key-concept emphasizing, and a less structured advance organizer. These were followed by a sorting task, a…

  20. National Assessment Meets Teacher Autonomy: National Assessment of Learning Outcomes in Music in Finnish Basic Education

    Science.gov (United States)

    Juntunen, Marja-Leena

    2017-01-01

    In Finland, teachers' have extensive autonomy, that is freedom from control by others over their professional actions in the classroom, and it is considered a strength of Finnish education. At the same time, national assessment of learning outcomes has been constructed to examine the learner's progress and achievements in relation to the criteria…

  1. A Qualitative Assessment of the Learning Outcomes of Teaching Introductory American Politics in Comparative Perspective

    Science.gov (United States)

    Gelbman, Shamira M.

    2011-01-01

    This article discusses the findings of an ethnographic content analysis of students' written reflections as a means for assessing the learning outcomes of teaching introductory American politics in comparative perspective. It focuses especially on determining whether and how this approach enhanced students' understanding and retention of knowledge…

  2. Assessing Impact of Technology Based Digital Equalizer Programme on Improving Student Learning Outcomes

    Science.gov (United States)

    Sarkar, Subrata; Mohapatra, Sanjay; Sundarakrishnan, J.

    2017-01-01

    The objective of this research was to assess the impact of the Digital Equalizer program (DE Program) in terms of student learning outcomes of students in subjects like science, mathematics and geography after 8 months of implementing the DE program in 283 schools across 30 districts of Odisha, India. This study was a inter group and intra group…

  3. Towards a Model and Methodology for Assessing Student Learning Outcomes and Satisfaction

    Science.gov (United States)

    Duque, Lola C.; Weeks, John R.

    2010-01-01

    Purpose: The purpose of this paper is threefold: first, to introduce a conceptual model for assessing undergraduate student learning outcomes and satisfaction that involves concepts drawn from the services marketing and assessment literatures; second, to illustrate the utility of the model as implemented in an academic department (geography)…

  4. Perceptions versus Realities: Exploring Needs and Science Learning Outcomes In the Mississippi Delta

    Science.gov (United States)

    Fitts, Lacey S.

    The Mississippi Delta (MS Delta) is a high-poverty region in northwestern Mississippi located between the Mississippi and Yazoo rivers. The Delta is home to sixteen rural counties with over seventy failing or underperforming schools. Many of these schools lack the resources necessary to ensure adequate opportunities for all students. Learning outcomes for the state are among the lowest in the nation, and scores in the rural Delta are far below the state average. Graduating seniors take the ACT college entrance exam, with about 10% of Mississippi seniors scoring as "college-ready" in science. The region has a critical shortage of science teachers, and many schools do not offer advanced science courses. This study assessed teachers' needs, identified key characteristics of the secondary science programs in which they teach, and sought to understand conditions affecting science learning outcomes. An inventory of science teachers' needs was administered to teachers in the region. The greatest needs were material resources, high quality training, and strategies for improving poor reading and problem-solving skills of students. Of the factors examined, the percentage of students receiving free lunch had the strongest correlation with science learning outcomes in the school, higher than access to resources, number of science courses offered, and level of self-reported teacher need. A three-tiered approach to improving science learning outcomes has been developed, emphasizing community relationships, targeted professional development, and relevant science curriculum.

  5. Could Learning Outcomes of the First Course in Accounting Predict Overall Academic Performance?

    Science.gov (United States)

    Alanzi, Khalid A.; Alfraih, Mishari M.

    2017-01-01

    Purpose: This study aims to question whether learning outcomes of the first course in accounting could predict the overall academic performance of accounting students as measured by their graduating grade point average (GPA). Design/methodology/approach The sample of the present study was drawn from accounting students who were graduated during…

  6. Assessing the Quality of the Learning Outcome in Vocational Education: The Expero Model

    Science.gov (United States)

    Cervai, Sara; Cian, Luca; Berlanga, Alicia; Borelli, Massimo; Kekale, Tauno

    2013-01-01

    Purpose: This paper aims to present an innovative model to evaluate the quality of the learning outcome in vocational education and training (VET) considering a wide approach that includes, in particular, stakeholders' expectations and perceptions. Design/methodology/approach: The Expero model was implemented in various kinds of vocational schools…

  7. Distance Education in a Cost Accounting Course: Instruction, Interaction, and Multiple Measures of Learning Outcomes

    Science.gov (United States)

    Chen, Clement C.; Jones, Keith T.; Moreland, Keith

    2010-01-01

    Students in online and traditional classroom sections of an intermediate-level cost accounting course responded to a survey about their experiences in the course. Specifically, several items related to the instruction and learning outcomes were addressed. Additionally, student examination performance in the two types of sections was compared. The…

  8. Investigating Students' Perceptions of Graduate Learning Outcomes in Mathematics

    Science.gov (United States)

    King, Deborah; Varsavsky, Cristina; Belward, Shaun; Matthews, Kelly

    2017-01-01

    The purpose of this study is to explore the perceptions mathematics students have of the knowledge and skills they develop throughout their programme of study. It addresses current concerns about the employability of mathematics graduates by contributing much needed insight into how degree programmes are developing broader learning outcomes for…

  9. Pedagogies to Achieve Sustainability Learning Outcomes in Civil and Environmental Engineering Students

    Directory of Open Access Journals (Sweden)

    Angela R. Bielefeldt

    2013-10-01

    Full Text Available The civil and environmental engineering disciplines have identified the levels of knowledge about sustainability that are desirable for students to achieve as they graduate with a bachelor’s degree, as well as sustainability-related competencies to be obtained during a master’s degree, and on-the-job, prior to professional licensure. Different pedagogies are better suited to help students attain these levels of cognitive ability, while also developing affective outcomes. This paper provides examples of different methods that have been used at one institution to educate engineering students about sustainability, supported with data that indicates whether the method successfully achieved the targeted learning outcomes. Lectures, in-class active learning, readings, and appropriately targeted homework assignments can achieve basic sustainability knowledge and comprehension by requiring students to define, identify, and explain aspects of sustainability. Case studies and the application of software tools are good methods to achieve application and analysis competencies. Project-based learning (PBL and project-based service-learning (PBSL design projects can reach the synthesis level and may also develop affective outcomes related to sustainability. The results provide examples that may apply to a wider range of disciplines and suggest sustainability outcomes that are particularly difficult to teach and/or assess.

  10. Beyond Student Learning Outcomes: Developing Comprehensive, Strategic Assessment Plans for Advising Programmes

    Science.gov (United States)

    McClellan, Jeffrey L.

    2011-01-01

    This article argues that while the importance of assessment in academic advising is clear and the current emphasis on defining and measuring student learning outcomes represents an essential component of any comprehensive advising assessment plan, an even more comprehensive understanding of programme assessment is needed. Drawing upon business…

  11. Online Finance and Economics Courses: A Comparative Study of Course Satisfaction and Outcomes across Learning Models

    Science.gov (United States)

    Wiechowski, Linda; Washburn, Terri L.

    2014-01-01

    Student learning outcomes and course satisfaction scores are two key considerations when assessing the success of any degree program. This empirical study was based upon more than 3,000 end-of-semester course evaluations collected from 171 courses in the 2010-2011 academic year. The study, conducted at a Midwestern business college, considered the…

  12. Train-the-Trainers: Implementing Outcomes-Based Teaching and Learning in Malaysian Higher Education

    Science.gov (United States)

    Biggs, John; Tang, Catherine

    2011-01-01

    The decision by the Minister of Higher Education, that Malaysian post-secondary institutions should move to outcomes-based teaching and learning (OBTL), involves a change in teaching in over 1,000 institutions. This massive changeover would be accomplished using the "Train-the-Trainers" model in a series of workshops. We are proud to…

  13. From Process to Outcome: The Effect of Portfolio Assessment on Student Learning.

    Science.gov (United States)

    Tiwari, Agnes; Tang, Catherine

    2003-01-01

    Three findings emerged from 12 Hong Kong student nurses' descriptions of their experiences of portfolio assessment: (1) despite initial anxiety, all favored portfolio use; (2) portfolios had positive academic and affective outcomes; and (3) unexpectedly, spontaneous collaborative learning and increased motivation resulted. (Contains 35…

  14. Evaluating the Quality of the Learning Outcome in Healthcare Sector: The Expero4care Model

    Science.gov (United States)

    Cervai, Sara; Polo, Federica

    2015-01-01

    Purpose: This paper aims to present the Expero4care model. Considering the growing need for a training evaluation model that does not simply fix processes, the Expero4care model represents the first attempt of a "quality model" dedicated to the learning outcomes of healthcare trainings. Design/Methodology/Approach: Created as development…

  15. The Contribution of Learning Outcomes for Listening to Creative Thinking Skills

    Science.gov (United States)

    Aldig, Ebru; Arseven, Ayla

    2017-01-01

    This study aims to examine teacher's opinions on the contribution of learning outcomes for listening defined in the Ministry of National Education's Turkish course curriculum for the 6th, 7th and 8th grades to the development of creative thinking skills. Mixed methods research design was adopted in the study. As the quantitative part of the study,…

  16. The Place of Content and Pedagogy in Shaping Sustainability Learning Outcomes in Higher Education

    Science.gov (United States)

    Mintz, Keren; Tal, Tali

    2018-01-01

    This research investigates the ways in which undergraduate courses dealing with the environment address sustainable development (SD), and contribute to the development of sustainability learning outcomes (SLO). The participants in the study were 13 instructors, and 360 students who were enrolled in 13 courses that addressed the environment in a…

  17. Expectancy-Value and Cognitive Process Outcomes in Mathematics Learning: A Structural Equation Analysis

    Science.gov (United States)

    Phan, Huy P.

    2014-01-01

    Existing research has yielded evidence to indicate that the expectancy-value theoretical model predicts students' learning in various achievement contexts. Achievement values and self-efficacy expectations, for example, have been found to exert positive effects on cognitive process and academic achievement outcomes. We tested a conceptual model…

  18. A Qualitative Study of Information Technology Students' Learning Outcomes during a Cooperative Education Experience

    Science.gov (United States)

    Krejci, Katherine T.

    2010-01-01

    The purpose of this qualitative descriptive study was to describe the learning outcomes of the cooperative-education experience from an Information Technology student's perspective at a large Fortune 500 manufacturing/sales company located in the Midwest United States. Open-ended interview questions were developed based on the four-component model…

  19. Forum: Learning Outcomes in Communication. Responses. On the Importance of Communication Research

    Science.gov (United States)

    Vangelisti, Anita L.

    2016-01-01

    Anita Vangelisti writes in this response that although the recommendations set forward in this "Forum" are well thought out and important additions to the discussion, teacher-scholars in the field of communication can, and should, do more. She agrees that there is a need to identify and describe learning outcomes in communication, and…

  20. Development of a Blended Learning Environment to Support Achievement of Graduate Outcomes through Optimal Learning in an Undergraduate Pharmacy Course

    Directory of Open Access Journals (Sweden)

    Alyson Brown

    2013-10-01

    Full Text Available The development of graduate attributes through health professional courses requires the opportunity to engage with learning and teaching activities that reflect the work-based role to which the student aspires. Such activities allow the contextualisation of discipline-specific knowledge, forging a critical understanding of the underpinning theory, and providing a firm foundation for the development of lifelong learning skills. A blended learning approach can be particularly valuable in supporting achievement of the learning outcomes in modules where performance is measured in terms of competency in work-based scenarios. An action research approach was taken to develop and evaluate a cardiovascular risk assessment as the basis for clinically and professionally relevant problem-based learning. Support for this was provided by means of blended learning including a number of online activities. Talking wall focus groups were used to evaluate the student experience, and this was combined with quantitative data regarding student examination performance. Student performance in the cardiovascular section of the examination paper was significantly higher than in other sections. Students reported very favorably on the use of this approach to support not only examination preparation, but also in terms of developing professional identity and enhancing employability skills.

  1. Cerebrovascular accidents after percutaneous coronary interventions from 2002 to 2014: Incidence, outcomes, and associated variables.

    Science.gov (United States)

    Didier, Romain; Gaglia, Michael A; Koifman, Edward; Kiramijyan, Sarkis; Negi, Smita I; Omar, Al Fazir; Gai, Jiaxing; Torguson, Rebecca; Pichard, Augusto D; Waksman, Ron

    2016-02-01

    Cerebrovascular accident (CVA) and transient ischemic attack (TIA) related to percutaneous coronary intervention (PCI) are relatively rare complications, but they are associated with high morbidity and mortality. Given the evolution of both CVA risk and PCI techniques over time, this study was conducted to evaluate trends in CVA and TIA associated with PCI and to identify variables associated with neurologic events. Consecutive patients undergoing PCI at the Washington Hospital Center between January 2002 and June 2015 were included. Prespecified data were prospectively collected, including baseline and procedural characteristics, in-hospital outcomes, and 1-year mortality. The subjects who had a CVA or TIA during or immediately after PCI were compared with those without procedure-associated CVA or TIA. Overall, 25,626 patients were included in the study. The mean age was 65.0 ± 12.4 years, 16,949 (65.2%) were male, and 7,436 (28.6%) were African American. From 2002 to 2015, 110 neurologic events post-PCI were diagnosed (0.43%); this included 86 CVAs (0.34%) and 24 TIAs (0.09%). The annual rate of postprocedural neurologic events was 0.42% ± 0.12%. There were significant changes in baseline risk factors over time, with increasing age, incidence of insulin-dependent diabetes, and chronic kidney disease. Patients with neurologic events were more often African American (43.6% vs 28.6%, P < .001) with prior history of CVA (24.5% vs 7.8%, P < .001), chronic renal insufficiency (26.6% vs 15.2%, P < .001), and insulin-dependent diabetes (19.1% vs 12.4%, P = .03). Acute myocardial infarction (56% vs 30.4%, P < .001) and cardiogenic shock (20.2% vs 3%, P < .001) were also more common among patients with neurologic events post-PCI. After multivariable adjustment, use of an intraaortic balloon pump was strongly associated with neurologic events (odds ratio [OR] 4.9, 95% CI 2.7-8.8, P < .001), as was prior CVA (OR 2.4, 95% CI 1.4-4.4, P = .002) and African American race (OR

  2. Does Augmented Reality Affect High School Students' Learning Outcomes in Chemistry?

    Science.gov (United States)

    Renner, Jonathan Christopher

    Some teens may prefer using a self-directed, constructivist, and technologic approach to learning rather than traditional classroom instruction. If it can be demonstrated, educators may adjust their teaching methodology. The guiding research question for this study focused on how augmented reality affects high school students' learning outcomes in chemistry, as measured by a pretest and posttest methodology when ensuring that the individual outcomes were not the result of group collaboration. This study employed a quantitative, quasi-experimental study design that used a comparison and experimental group. Inferential statistical analysis was employed. The study was conducted at a high school in southwest Colorado. Eighty-nine respondents returned completed and signed consent forms, and 78 participants completed the study. Results demonstrated that augmented reality instruction caused posttest scores to significantly increase, as compared to pretest scores, but it was not as effective as traditional classroom instruction. Scores did improve under both types of instruction; therefore, more research is needed in this area. The present study was the first quantitative experiment controlling for individual learning to validate augmented reality using mobile handheld digital devices that affected individual students' learning outcomes without group collaboration. This topic was important to the field of education as it may help educators understand how students learn and it may also change the way students are taught.

  3. Structure, Content, Delivery, Service, and Outcomes: Quality e-Learning in higher education

    Directory of Open Access Journals (Sweden)

    Colla J. MacDonald

    2005-07-01

    Full Text Available This paper addresses the need for quality e-Learning experiences. We used the Demand-Driven Learning Model (MacDonald, Stodel, Farres, Breithaupt, and Gabriel, 2001 to evaluate an online Masters in Education course. Multiple data collection methods were used to understand the experiences of stakeholders in this case study: the learners, design team, and facilitators. We found that all five dimensions of the model (structure, content, delivery, service, and outcomes must work in concert to implement a quality e-Learning course. Key themes include evolving learner needs, the search for connection, becoming an able e-participant, valued interactions, social construction of content, integration of delivery partners, and mindful weighing of benefits and trade-offs. By sharing insights into what is needed to design and deliver an e-Learning experience, our findings add to the growing knowledge of online learning. Using this model to evaluate perceptions of quality by key stakeholders has led to insights and recommendations on the Demand Driven Learning Model itself which may be useful for researchers in this area and strengthen the model. Quality has been defined in terms of the design of the e-Learning experience, the contextualized experience of learners, and evidence of learning outcomes (Carr and Carr, 2000; Jung 2000; Salmon, 2000. Quality and design of e-Learning courses, however, are sometimes compromised in an “ . . . effort to simply get something up and running��� in response to pressing consumer demands (Dick, 1996, p. 59. Educators and researchers have voiced concern over the lack of rigorous evaluation studies of e-Learning programs (e.g., Arbaugh, 2000; Howell, Saba, Lindsay, and Williams, 2004; Lockyer, Patterson, and Harper, 1999; Robinson, 2001. McGorry (2003 adds, “although the number of courses being delivered via the Internet is increasing rapidly, our knowledge of what makes these courses effective learning experiences

  4. Implementation of learning outcome attainment measurement system in aviation engineering higher education

    Science.gov (United States)

    Salleh, I. Mohd; Mat Rani, M.

    2017-12-01

    This paper aims to discuss the effectiveness of the Learning Outcome Attainment Measurement System in assisting Outcome Based Education (OBE) for Aviation Engineering Higher Education in Malaysia. Direct assessments are discussed to show the implementation processes that become a key role in the successful outcome measurement system. A case study presented in this paper involves investigation on the implementation of the system in Aircraft Structure course for Bachelor in Aircraft Engineering Technology program in UniKL-MIAT. The data has been collected for five semesters, starting from July 2014 until July 2016. The study instruments used include the report generated in Learning Outcomes Measurements System (LOAMS) that contains information on the course learning outcomes (CLO) individual and course average performance reports. The report derived from LOAMS is analyzed and the data analysis has revealed that there is a positive significant correlation between the individual performance and the average performance reports. The results for analysis of variance has further revealed that there is a significant difference in OBE grade score among the report. Independent samples F-test results, on the other hand, indicate that the variances of the two populations are unequal.

  5. Outcome based education enacted: teachers' tensions in balancing between student learning and bureaucracy.

    Science.gov (United States)

    Barman, Linda; Silén, Charlotte; Bolander Laksov, Klara

    2014-12-01

    This paper reports on how teachers within health sciences education translate outcome-based education (OBE) into practice when they design courses. The study is an empirical contribution to the debate about outcome- and competency-based approaches in health sciences education. A qualitative method was used to study how teachers from 14 different study programmes designed courses before and after OBE was implemented. Using an interpretative approach, analysis of documents and interviews was carried out. The findings show that teachers enacted OBE either to design for more competency-oriented teaching-learning, or to further detail knowledge and thus move towards reductionism. Teachers mainly understood the outcome-based framework as useful to support students' learning, although the demand for accountability created tension and became a bureaucratic hindrance to design for development of professional competence. The paper shows variations of how teachers enacted the same outcome-based framework for instructional design. These differences can add a richer understanding of how outcome- or competency-based approaches relate to teaching-learning at a course level.

  6. A critical review of simulation-based mastery learning with translational outcomes.

    Science.gov (United States)

    McGaghie, William C; Issenberg, Saul B; Barsuk, Jeffrey H; Wayne, Diane B

    2014-04-01

    This article has two objectives. Firstly, we critically review simulation-based mastery learning (SBML) research in medical education, evaluate its implementation and immediate results, and document measured downstream translational outcomes in terms of improved patient care practices, better patient outcomes and collateral effects. Secondly, we briefly address implementation science and its importance in the dissemination of innovations in medical education and health care. This is a qualitative synthesis of SBML with translational (T) science research reports spanning a period of 7 years (2006-2013). We use the 'critical review' approach proposed by Norman and Eva to synthesise findings from 23 medical education studies that employ the mastery learning model and measure downstream translational outcomes. Research in SBML in medical education has addressed a range of interpersonal and technical skills. Measured outcomes have been achieved in educational laboratories (T1), and as improved patient care practices (T2), patient outcomes (T3) and collateral effects (T4). Simulation-based mastery learning in medical education can produce downstream results. Such results derive from integrated education and health services research programmes that are thematic, sustained and cumulative. The new discipline of implementation science holds promise to explain why medical education innovations are adopted slowly and how to accelerate innovation dissemination. © 2014 John Wiley & Sons Ltd.

  7. The development of learning materials based on core model to improve students’ learning outcomes in topic of Chemical Bonding

    Science.gov (United States)

    Avianti, R.; Suyatno; Sugiarto, B.

    2018-04-01

    This study aims to create an appropriate learning material based on CORE (Connecting, Organizing, Reflecting, Extending) model to improve students’ learning achievement in Chemical Bonding Topic. This study used 4-D models as research design and one group pretest-posttest as design of the material treatment. The subject of the study was teaching materials based on CORE model, conducted on 30 students of Science class grade 10. The collecting data process involved some techniques such as validation, observation, test, and questionnaire. The findings were that: (1) all the contents were valid, (2) the practicality and the effectiveness of all the contents were good. The conclusion of this research was that the CORE model is appropriate to improve students’ learning outcomes for studying Chemical Bonding.

  8. Improving Learning Outcomes in Office Automation Subjects Through Development of Video-Based Media Learning Operating Microsoft Publisher 2010

    Directory of Open Access Journals (Sweden)

    Irma Mastumasari

    2017-07-01

    Full Text Available The purpose of this research is to produce instructional media video-based operate Microsoft Publisher 2010 which is validated by experts for student at class X of Office Administration in SMKN 1 Malang through experimental class and control class. This study uses Research and Development research design (R & D through 8 steps, namely: (1 research and information gathering early, (2 planning, (3 product development, (4 validation expert, (5 product revision, (6 the trial court (small groups, (7 the revision of the product, and (8 field trials (large group. Results of validation by material experts, media experts and 12 students, the media is expressed very valid and can be used. Based on t test, it is known that a significant difference between the average student learning outcomes experimental class and control class, so that learning media can be said to be effective for use in the learning process.

  9. A Correlational Study on Critical Thinking in Nursing as an Outcome Variable for Success

    Science.gov (United States)

    Porter, Rebecca Jean

    2018-01-01

    Critical thinking is a required curricular outcome for nursing education; however, the literature shows a gap related to valid and reliable tools to measure critical thinking specific to nursing and relating that critical thinking measurement to meaningful outcomes. This study examined critical thinking scores, as measured by Assessment…

  10. AUTOCLASSIFICATION OF THE VARIABLE 3XMM SOURCES USING THE RANDOM FOREST MACHINE LEARNING ALGORITHM

    International Nuclear Information System (INIS)

    Farrell, Sean A.; Murphy, Tara; Lo, Kitty K.

    2015-01-01

    In the current era of large surveys and massive data sets, autoclassification of astrophysical sources using intelligent algorithms is becoming increasingly important. In this paper we present the catalog of variable sources in the Third XMM-Newton Serendipitous Source catalog (3XMM) autoclassified using the Random Forest machine learning algorithm. We used a sample of manually classified variable sources from the second data release of the XMM-Newton catalogs (2XMMi-DR2) to train the classifier, obtaining an accuracy of ∼92%. We also evaluated the effectiveness of identifying spurious detections using a sample of spurious sources, achieving an accuracy of ∼95%. Manual investigation of a random sample of classified sources confirmed these accuracy levels and showed that the Random Forest machine learning algorithm is highly effective at automatically classifying 3XMM sources. Here we present the catalog of classified 3XMM variable sources. We also present three previously unidentified unusual sources that were flagged as outlier sources by the algorithm: a new candidate supergiant fast X-ray transient, a 400 s X-ray pulsar, and an eclipsing 5 hr binary system coincident with a known Cepheid.

  11. Event-related potential studies of outcome processing and feedback-guided learning

    Directory of Open Access Journals (Sweden)

    René eSan Martín

    2012-11-01

    Full Text Available In order to control behavior in an adaptive manner the brain has to learn how some situations and actions predict positive or negative outcomes. During the last decade cognitive neuroscientists have shown that the brain is able to evaluate and learn from outcomes within a few hundred milliseconds of their occurrence. This research has been primarily focused on the feedback-related negativity (FRN and the P3, two event-related potential (ERP components that are elicited by outcomes. The FRN is a frontally distributed negative-polarity ERP component that typically reaches its maximal amplitude 250 ms after outcome presentation and tends to be larger for negative than for positive outcomes. The FRN has been associated with activity in the anterior cingulate cortex. The P3 (~300-600 ms is a parietally distributed positive-polarity ERP component that tends to be larger for large magnitude than for small magnitude outcomes. The neural sources of the P3 are probably distributed over different regions of the cortex. This paper examines the theories that have been proposed to explain the functional role of these two ERP components during outcome processing. Special attention is paid to extant literature addressing how these ERP components are modulated by outcome valence (negative vs. positive, outcome magnitude (large vs. small, outcome probability (unlikely vs. likely and behavioral adjustment. The literature offers few generalizable conclusions, but is beset with a number of inconsistencies across studies. This paper discusses the potential reasons for these inconsistencies and points out some challenges that will shape the field over the next decade.

  12. Does psychotherapy work with school-aged youth? A meta-analytic examination of moderator variables that influence therapeutic outcomes.

    Science.gov (United States)

    Fedewa, Alicia L; Ahn, Soyeon; Reese, Robert J; Suarez, Marietta M; Macquoid, Ahjane; Davis, Matthew C; Prout, H Thompson

    2016-06-01

    The present study is a quantitative synthesis of the available literature to investigate the efficacy of psychotherapy for children's mental health outcomes. In particular, this study focuses on potential moderating variables-study design, treatment, client, and therapist characteristics-that may influence therapeutic outcomes for youth but have not been thoroughly accounted for in prior meta-analytic studies. An electronic search of relevant databases resulted in 190 unpublished and published studies that met criteria for inclusion in the analysis. Effect sizes differed by study design. Pre-post-test designs resulted in absolute magnitudes of treatment effects ranging from |-0.02| to |-0.76| while treatment versus control group comparison designs resulted in absolute magnitudes of treatment effects ranging from |-0.14| to |-2.39|. Changes in youth outcomes larger than 20% were found, irrespective of study design, for outcomes focused on psychosomatization (29% reduction), school attendance (25% increase), and stress (48% reduction). The magnitude of changes after psychotherapy ranged from 6% (externalizing problems) to 48% (stress). Several moderator variables significantly influenced psychotherapy treatment effect sizes, including frequency and length of treatment as well as treatment format. However, results did not support the superiority of a single type of intervention for most outcomes. Implications for therapy with school-aged youth and future research are discussed. Copyright © 2016 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.

  13. Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes.

    Science.gov (United States)

    Wang, Yuanjia; Chen, Tianle; Zeng, Donglin

    2016-01-01

    Learning risk scores to predict dichotomous or continuous outcomes using machine learning approaches has been studied extensively. However, how to learn risk scores for time-to-event outcomes subject to right censoring has received little attention until recently. Existing approaches rely on inverse probability weighting or rank-based regression, which may be inefficient. In this paper, we develop a new support vector hazards machine (SVHM) approach to predict censored outcomes. Our method is based on predicting the counting process associated with the time-to-event outcomes among subjects at risk via a series of support vector machines. Introducing counting processes to represent time-to-event data leads to a connection between support vector machines in supervised learning and hazards regression in standard survival analysis. To account for different at risk populations at observed event times, a time-varying offset is used in estimating risk scores. The resulting optimization is a convex quadratic programming problem that can easily incorporate non-linearity using kernel trick. We demonstrate an interesting link from the profiled empirical risk function of SVHM to the Cox partial likelihood. We then formally show that SVHM is optimal in discriminating covariate-specific hazard function from population average hazard function, and establish the consistency and learning rate of the predicted risk using the estimated risk scores. Simulation studies show improved prediction accuracy of the event times using SVHM compared to existing machine learning methods and standard conventional approaches. Finally, we analyze two real world biomedical study data where we use clinical markers and neuroimaging biomarkers to predict age-at-onset of a disease, and demonstrate superiority of SVHM in distinguishing high risk versus low risk subjects.

  14. A Critical Perspective on Learning Outcomes and the Effectiveness of Experiential Approaches in Entrepreneurship Education: Do we Innovate or Implement?

    Science.gov (United States)

    Scott, Jonathan M; Penaluna, Andy; Thompson, John L

    2016-01-01

    Purpose: The purpose of this paper is to conduct a critical appraisal of how experiential approaches can more effectively enhance the achievement of desired learning outcomes in entrepreneurship education. In particular, the authors critique whether actual learning outcomes can be profitably used to measure effectiveness; and consider how student…

  15. Internship-Related Learning Outcomes and Their Influential Factors: The Case of Vietnamese Tourism and Hospitality Students

    Science.gov (United States)

    Nghia, Tran Le Huu; Duyen, Nguyen Thi My

    2018-01-01

    Purpose: The purpose of this paper is to explore the experiences of Tourism and Hospitality interns in Vietnam to identify dimensions of internship-related learning outcomes and factors influencing these learning outcomes. Design/methodology/approach: In total, 12 in-depth interviews were conducted with 12 interns to identify the dimensions of…

  16. Comparison and Evaluation of Learning Outcomes from an International Perspective: Development of a Best-Practice Process

    Science.gov (United States)

    Elmgren, Maja; Ho, Felix; Åkesson, Eva; Schmid, Siegbert; Towns, Marcy

    2015-01-01

    Chemistry education focused on learning outcomes is increasingly practiced, providing new opportunities for international comparisons. The interest in intended learning outcomes and constructive alignment has grown in many parts of the world due to both research in higher education and political decisions. In an International Union of Pure and…

  17. Improving Primary Education in Pakistan: An Examination of the Association between School Autonomy and Children's Learning Outcomes

    Science.gov (United States)

    Rahim, Bushra

    2017-01-01

    The purpose of this study is to explore the impact of the delegation of financial authority to public primary schools through Parent-Teacher Councils (PTCs) on learning outcomes of primary school children in the Khyber Pakhtunkhwa (KP) province, Pakistan. The learning outcomes were measured in three subject areas (Urdu, English, and Mathematics).…

  18. LB01.06: VISIT-TO-VISIT BLOOD PRESSURE VARIABILITY AND CARDIOVASCULAR OUTCOMES IN FELODIPINE EVENT REDUCTION STUDY.

    Science.gov (United States)

    Zhang, Y; Zhang, X; Liu, L; Zanchetti, A

    2015-06-01

    Many antihypertensive outcome trials have shown that visit-to-visit blood pressure variability is correlated closely with clinical outcomes in hypertensive patients. The objective of the study was to investigate the relationship between visit-to-visit blood pressure variability (BPV) and the major cardiovascular outcomes in the Chinese hypertensive patients. Felodipine Event Reduction (FEVER) study was a double-blind, randomized trial on 9711 Chinese hypertensive patients, in whom cardiovascular outcomes were significantly reduced by more intense therapy achieving a mean of 138 mmHg SBP compared with less-intense therapy achieving a mean of 142 mmHg. Visit-to-visit BPV during the follow-up period [defined as standard deviation (SD), coefficient of variation (CV), and average real variability(ARV)] was derived from casual cuff BP measures after six months follow-up until the end of the study. Hazard ratios (HRs), for the incidence of CVD associated with SD, CV, and ARV of SBP and DBP were calculated using Cox proportional hazard models. Overall predictive power [area under receiver operating characteristic (AUC ROC) curve] of the level of blood pressure, blood pressure variability and other baseline characteristics was calculated. In FEVER study, visit-to-visit variability in SBP were significant predictors of subsequent stroke [eg, hazard ratios [HR] for ARV, SD and CV was 1.071 (95% CI: 1.025-1.118), 1.373 (95% CI: 1.159-1.626) and 0.572 (95% CI: 0.451-0,726)]. Visit-to-visit variability in DBP were also showed similar trend [eg, HR for ARV, SD and CV was 1.066 (95% CI: 0.992-1.145), 1.931 (95% CI: 1.435-2.598) and 0.558 (95% CI: 0.438-0,710)]. However, using the analysis of AUC ROC analysis, the risk importance sequence of the stroke events in this cohort was level of SBP, age, level of DBP ARV, SD, sex, CV and treatment. Visit-to-visit blood pressure variability has some effects on the cardiovascular outcomes in the Chinese hypertensive patents in the cohort in

  19. Unpacking the Learning-Work Nexus: "Priming" as Lever for High-Quality Learning Outcomes in Work-Integrated Learning Curricula

    Science.gov (United States)

    Smith, Calvin; Worsfold, Kate

    2015-01-01

    This paper describes the impacts of work-integrated learning (WIL) curriculum components on general employability skills--professional work-readiness, self-efficacy and team skills. Regression analyses emphasise the importance of the "authenticity" of WIL placements for the development of these generic outcomes. Other curricula factors…

  20. Retrieving Tract Variables From Acoustics: A Comparison of Different Machine Learning Strategies.

    Science.gov (United States)

    Mitra, Vikramjit; Nam, Hosung; Espy-Wilson, Carol Y; Saltzman, Elliot; Goldstein, Louis

    2010-09-13

    Many different studies have claimed that articulatory information can be used to improve the performance of automatic speech recognition systems. Unfortunately, such articulatory information is not readily available in typical speaker-listener situations. Consequently, such information has to be estimated from the acoustic signal in a process which is usually termed "speech-inversion." This study aims to propose and compare various machine learning strategies for speech inversion: Trajectory mixture density networks (TMDNs), feedforward artificial neural networks (FF-ANN), support vector regression (SVR), autoregressive artificial neural network (AR-ANN), and distal supervised learning (DSL). Further, using a database generated by the Haskins Laboratories speech production model, we test the claim that information regarding constrictions produced by the distinct organs of the vocal tract (vocal tract variables) is superior to flesh-point information (articulatory pellet trajectories) for the inversion process.

  1. On diffusion processes with variable drift rates as models for decision making during learning

    International Nuclear Information System (INIS)

    Eckhoff, P; Holmes, P; Law, C; Connolly, P M; Gold, J I

    2008-01-01

    We investigate Ornstein-Uhlenbeck and diffusion processes with variable drift rates as models of evidence accumulation in a visual discrimination task. We derive power-law and exponential drift-rate models and characterize how parameters of these models affect the psychometric function describing performance accuracy as a function of stimulus strength and viewing time. We fit the models to psychophysical data from monkeys learning the task to identify parameters that best capture performance as it improves with training. The most informative parameter was the overall drift rate describing the signal-to-noise ratio of the sensory evidence used to form the decision, which increased steadily with training. In contrast, secondary parameters describing the time course of the drift during motion viewing did not exhibit steady trends. The results indicate that relatively simple versions of the diffusion model can fit behavior over the course of training, thereby giving a quantitative account of learning effects on the underlying decision process

  2. Learning science in a cooperative setting: Academic achievement and affective outcomes

    Science.gov (United States)

    Lazarowitz, Reuven; Hertz-Lazarowitz, Rachel; Baird, J. Hugh

    A learning unit in earth science was taught to high school students, using a jigsaw-group mastery learning approach. The sample consisted of 73 students in the experimental group and 47 students who learned the topic in an individualized mastery learning approach. The study lasted 5 weeks. Pretests and posttests on academic achievement and affective outcomes were administered. Data were treated with an analysis of covariance. The results show that students of the experimental group achieved significantly higher on academic outcomes, both normative and objective scores. On the creative essay test, the differences in number of ideas and total essay score were not significant between the groups, although the mean scores for number of words were higher for the individualized mastery learning group. On the affective domain, jigsaw-group mastery learning students scored significantly higher on self-esteem, number of friends, and involvement in the classroom. No differences were found in cohesiveness, cooperation, competition, and attitudes toward the subject learned. The results are discussed through the evaluation and comparison of the two methods of instruction used in this study.The cooperative learning movement began in junior high schools as part of the desegregation process, aiming at facilitating positive ethnic relations and increasing academic achievement and social skills among diverse students (Aronson, Stephan, Sikes, Blaney, & Snapp, 1978; Sharan & Hertz-Lazarowitz, 1980; Slavin, 1980). However, elementary teachers quickly recognized the potential of cooperative methods, and such methods were adopted freely in elementary schools before becoming widespread on the junior and senior high level. It has only been during the past few years that application of cooperative learning has been studied extensively with these older students.Cooperative learning methods generally involve heterogeneous groups working together on tasks that are deliberately structured to

  3. Technology Education Using a Novel Approach in e-Learning-Towards Optimizing the Quality of Learning Outcomes

    Science.gov (United States)

    Malkawi, M. I.; Hawarey, M. M.

    2012-04-01

    Ever since the advent of the new era in presenting taught material in Electronic Form, international bodies, academic institutions, public sectors, as well as specialized entities in the private sector, globally, have all persevered to exploit the power of Distance Learning and e-Learning to disseminate the knowledge in Science and Art using the ubiquitous World Wide Web and its supporting Internet and Internetworking. Many Science & Education-sponsoring bodies, like UNESCO, the European Community, and the World Bank have been keen at funding multinational Distance Learning projects, many of which were directed at an educated audience in certain technical areas. Many countries around the Middle East have found a number of interested European partners to launch funding requests, and were generally successful in their solicitation efforts for the needed funds from these funding bodies. Albeit their intricacies in generating a wealth of knowledge in electronic form, many of the e-Learning schemas developed thus far, have only pursued their goals in the most conventional of ways; In essence, there had been little innovation introduced to gain anything, if any, above traditional classroom lecturing, other than, of course, the gained advantage of the simultaneous online testing and evaluation of the learned material by the examinees. In a sincere effort to change the way in which people look at the merits of e-Learning, and seek the most out of it, we shall propose a novel approach aimed at optimizing the learning outcomes of presented materials. In this paper we propose what shall henceforth be called as Iterative e-Learning. In Iterative e-Learning, as the name implies, a student uses some form of electronic media to access course material in a specific subject. At the end of each phase (Section, Chapter, Session, etc.) on a specific topic, the student is assessed online of how much he/she would have achieved before he/she would move on. If the student fails, due to

  4. Statistical Learning and Adaptive Decision-Making Underlie Human Response Time Variability in Inhibitory Control

    Directory of Open Access Journals (Sweden)

    Ning eMa

    2015-08-01

    Full Text Available Response time (RT is an oft-reported behavioral measure in psychological and neurocognitive experiments, but the high level of observed trial-to-trial variability in this measure has often limited its usefulness. Here, we combine computational modeling and psychophysics to examine the hypothesis that fluctuations in this noisy measure reflect dynamic computations in human statistical learning and corresponding cognitive adjustments. We present data from the stop-signal task, in which subjects respond to a go stimulus on each trial, unless instructed not to by a subsequent, infrequently presented stop signal. We model across-trial learning of stop signal frequency, P(stop, and stop-signal onset time, SSD (stop-signal delay, with a Bayesian hidden Markov model, and within-trial decision-making with an optimal stochastic control model. The combined model predicts that RT should increase with both expected P(stop and SSD. The human behavioral data (n=20 bear out this prediction, showing P(stop and SSD both to be significant, independent predictors of RT, with P(stop being a more prominent predictor in 75% of the subjects, and SSD being more prominent in the remaining 25%. The results demonstrate that humans indeed readily internalize environmental statistics and adjust their cognitive/behavioral strategy accordingly, and that subtle patterns in RT variability can serve as a valuable tool for validating models of statistical learning and decision-making. More broadly, the modeling tools presented in this work can be generalized to a large body of behavioral paradigms, in order to extract insights about cognitive and neural processing from apparently quite noisy behavioral measures. We also discuss how this behaviorally validated model can then be used to conduct model-based analysis of neural data, in order to help identify specific brain areas for representing and encoding key computational quantities in learning and decision-making.

  5. Statistical learning and adaptive decision-making underlie human response time variability in inhibitory control.

    Science.gov (United States)

    Ma, Ning; Yu, Angela J

    2015-01-01

    Response time (RT) is an oft-reported behavioral measure in psychological and neurocognitive experiments, but the high level of observed trial-to-trial variability in this measure has often limited its usefulness. Here, we combine computational modeling and psychophysics to examine the hypothesis that fluctuations in this noisy measure reflect dynamic computations in human statistical learning and corresponding cognitive adjustments. We present data from the stop-signal task (SST), in which subjects respond to a go stimulus on each trial, unless instructed not to by a subsequent, infrequently presented stop signal. We model across-trial learning of stop signal frequency, P(stop), and stop-signal onset time, SSD (stop-signal delay), with a Bayesian hidden Markov model, and within-trial decision-making with an optimal stochastic control model. The combined model predicts that RT should increase with both expected P(stop) and SSD. The human behavioral data (n = 20) bear out this prediction, showing P(stop) and SSD both to be significant, independent predictors of RT, with P(stop) being a more prominent predictor in 75% of the subjects, and SSD being more prominent in the remaining 25%. The results demonstrate that humans indeed readily internalize environmental statistics and adjust their cognitive/behavioral strategy accordingly, and that subtle patterns in RT variability can serve as a valuable tool for validating models of statistical learning and decision-making. More broadly, the modeling tools presented in this work can be generalized to a large body of behavioral paradigms, in order to extract insights about cognitive and neural processing from apparently quite noisy behavioral measures. We also discuss how this behaviorally validated model can then be used to conduct model-based analysis of neural data, in order to help identify specific brain areas for representing and encoding key computational quantities in learning and decision-making.

  6. Patient-Therapist Identification in Relation to Both Patient and Therapist Variables and Therapy Outcome

    Science.gov (United States)

    Melnick, Barry

    1972-01-01

    The results of the study confirmed the hypothesis that greater patient identification with the therapist, as defined by increased similarity between the patient's and therapist's semantic differential ratings, moderately correlated with more successful therapy outcome. (Author)

  7. The influence of virtual presence: Effects on experienced cognitive load and learning outcomes in educational computer games

    NARCIS (Netherlands)

    Schrader, Claudia; Bastiaens, Theo

    2018-01-01

    Does the immersive design of an educational gaming environment affect learners’ virtual presence and how much do they learn? Does virtual presence affect learning? This study tries to answer these ques- tions by examining the differences in virtual presence and learning outcomes in two different

  8. An Investigation of the Effects of a Graphic Organizer in an Online Serious Game on Learning Outcomes and Attitudinal Perceptions

    Science.gov (United States)

    Cheon, Jongpil; Chung, Sungwon; Song, Jaeki; Kim, Yongjin

    2015-01-01

    A serious game, which is designed for learning purposes rather than recreational purposes, has been applied for digital game-based Learning. This study investigated the effects of graphic organizers in a serious game, "The Transistor", on learning outcomes and attitudinal perceptions. A total of 99 participants were randomly assigned to…

  9. The kids got game: Computer/video games, gender and learning outcomes in science classrooms

    Science.gov (United States)

    Anderson, Janice Lyn

    In recent years educators have begun to explore how to purposively design computer/video games to support student learning. This interest in video games has arisen in part because educational video games appear to have the potential to improve student motivation and interest in technology, and engage students in learning through the use of a familiar medium (Squire, 2005; Shaffer, 2006; Gee, 2005). The purpose of this dissertation research is to specifically address the issue of student learning through the use of educational computer/video games. Using the Quest Atlantis computer game, this study involved a mixed model research strategy that allowed for both broad understandings of classroom practices and specific analysis of outcomes through the themes that emerged from the case studies of the gendered groups using the game. Specifically, this study examined how fifth-grade students learning about science concepts, such as water quality and ecosystems, unfolds over time as they participate in the Quest Atlantis computer game. Data sources included classroom observations and video, pre- and post-written assessments, pre- and post- student content interviews, student field notebooks, field reports and the field notes of the researcher. To make sense of how students learning unfolded, video was analyzed using a framework of interaction analysis and small group interactions (Jordan & Henderson, 1995; Webb, 1995). These coded units were then examined with respect to student artifacts and assessments and patterns of learning trajectories analyzed. The analysis revealed that overall, student learning outcomes improved from pre- to post-assessments for all students. While there were no observable gendered differences with respect to the test scores and content interviews, there were gendered differences with respect to game play. Implications for game design, use of external scaffolds, games as tools for learning and gendered findings are discussed.

  10. Impact of Climate Variability on Maize Production in Pakistan using Remote Sensing and Machine Learning

    Science.gov (United States)

    Richetti, J.; Ahmad, I.; Aristizabal, F.; Judge, J.

    2017-12-01

    Determining maize agricultural production under climate variability is valuable to policy makers in Pakistan since maize is the third most produced crop by area after wheat and rice. This study aims to predict the maize production under climate variability. Two-hundred ground truth points of both maize and non-maize land covers were collected from the Faisalabad district during the growing seasons of 2015 and 2016. Landsat-8 images taken in second week of May which correspond spatially and temporally to the local, peak growing season for maize were gathered. For classifying the region training data was constructed for a variety of machine learning algorithms by sampling the second, third, and fourth bands of the Landsat-8 imagery at these reference locations. Cross validation was used for parameter tuning as well as estimating the generalized performances. All the classifiers resulted in overall accuracies of greater than 90% for both years and a support vector machine with a radial basis kernel recorded the maximum accuracy of 97%. The tuned models were used to determine the spatial distribution of maize fields for both growing seasons in the Faisalabad district using parallel processing to improve computation time. The overall classified maize growing area represented 12% difference than that reported by the Crop Reporting Service (CRS) of Punjab Pakistan for both 2015 and 2016. For the agricultural production normalized difference vegetation index from Landsat-8 and climate indicators from ground stations will be used as inputs in a variety of machine learning regression algorithms. The expected results will be compared to actual yield from 64 commercial farms. To verify the impact of climate variability in the maize agricultural production historical climate data from previous 30 years will be used in the developed model to asses the impact of climate variability on the maize production.

  11. A Comparison of the Learning Outcomes of Traditional Lecturing with that of Computer-Based Learning in two Optometry Courses

    Directory of Open Access Journals (Sweden)

    H Kangari

    2009-07-01

    Full Text Available Background and purpose: The literature on distance education has provided different reports about the effectiveness of traditional lecture based settings versus computer based study settings. This studyis an attempt to compare the learning outcomes of the traditional lecture based teaching with that of the computer based learning in the optometry curriculum.Methods: Two courses in the optometry curriculum, Optometry I, with 24 students and Optometry II, with 27 students were used in this study. In each course, the students were randomly divided into two groups. In each scheduled class session, one group randomly attended the lecture, while the other studied in the computer stations. The same content was presented to both groups and at end of each session the same quiz was given to both. In the next session, the groups switched place. This processcontinued for four weeks. The quizzes were scored and a paired t-test was used to examine any difference. The data was analyzed by SPSS 15 software.Results: The mean score for Optometry I, lecture settings was 3.36 +0.59, for Optometry I computer based study was 3.27+0.63 , for Optometry II, in lecture setting was 3.22+0.57 and for Optometry II, computer based setting was 2.85+0.69. The paired sample t-test was performed on the scores, revealing no statistical significant difference between the two settings. However, the mean score for lecture sessions was slightly higher in lecture settings.Conclusion: Since this study reveals that the learning outcomes in traditional lecture based settings and computer based study are not significantly different, the lecture sessions can be safely replacedby the computer based study session. Further practice in the computer based setting might reveal better outcomes in computer study settings.Key words: LECTURING, COMPUTER BASED LEARNING, DISTANCE EDUCATION

  12. Dissociable brain systems mediate vicarious learning of stimulus-response and action-outcome contingencies.

    Science.gov (United States)

    Liljeholm, Mimi; Molloy, Ciara J; O'Doherty, John P

    2012-07-18

    Two distinct strategies have been suggested to support action selection in humans and other animals on the basis of experiential learning: a goal-directed strategy that generates decisions based on the value and causal antecedents of action outcomes, and a habitual strategy that relies on the automatic elicitation of actions by environmental stimuli. In the present study, we investigated whether a similar dichotomy exists for actions that are acquired vicariously, through observation of other individuals rather than through direct experience, and assessed whether these strategies are mediated by distinct brain regions. We scanned participants with functional magnetic resonance imaging while they performed an observational learning task designed to encourage either goal-directed encoding of the consequences of observed actions, or a mapping of observed actions to conditional discriminative cues. Activity in different parts of the action observation network discriminated between the two conditions during observational learning and correlated with the degree of insensitivity to outcome devaluation in subsequent performance. Our findings suggest that, in striking parallel to experiential learning, neural systems mediating the observational acquisition of actions may be dissociated into distinct components: a goal-directed, outcome-sensitive component and a less flexible stimulus-response component.

  13. Reciprocal Interaction of 24-Hour Blood Pressure Variability and Systolic Blood Pressure on Outcome in Stroke Thrombolysis.

    Science.gov (United States)

    Kellert, Lars; Hametner, Christian; Ahmed, Niaz; Rauch, Geraldine; MacLeod, Mary J; Perini, Francesco; Lees, Kennedy R; Ringleb, Peter A

    2017-07-01

    Significance and management of blood pressure (BP) changes in acute stroke care are unclear. Here, we aimed to investigate the impact of 24-hour BP variability (BPV) on outcome in patients with acute ischemic stroke treated with intravenous thrombolysis. From the Safe Implementation of Treatment in Stroke International Stroke Thrombolysis registry, 28 976 patients with documented pre-treatment systolic BP at 2 and 24 hours were analyzed. The primary measure of BP variability was successive variability. Data were preprocessed using coarsened exact matching. We assessed early neurological improvement, symptomatic intracerebral hemorrhage (SICH), and long-term functional outcome (modified Rankin Scale [mRS] at 90 days) by binary and ordinal regression analyses. Attempts to explain successive variation for analysis of BPV with patients characteristics at admission found systolic BP (5.5% variance) to be most influential, yet 92% of BPV variance remained unexplained. Independently from systolic BP, successive variation for analysis of BPV was associated with poor functional outcome mRS score of 0 to 2 (odds ratio [OR], 0.94; 95% confidence interval [CI], 0.90-0.98), disadvantage across the shift of mRS (OR, 1.04; 95% CI, 1.01-1.08), mortality (OR, 1.10; 95% CI, 1.01-1.08), SICH SITS (OR, 1.14; 95% CI, 1.06-1.23), and SICH ECASS (OR, 1.24; 95% CI, 1.10-1.40; ECASS [European Cooperative Acute Stroke Study 2]). Analyzing successive variation for analysis of BPV as a function of pre-treatment, systolic BP significantly improved the prediction of functional outcome (mRS score of 0-1, mRS score of 0-2, neurological improvement, mRS-shift: all P interaction accounting for pre-treatment BP and the acute BP course (ie, BPV) to achieve best possible outcome for the patient. © 2017 American Heart Association, Inc.

  14. 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.

  15. Dynamics of melanoma tumor therapy with vesicular stomatitis virus: explaining the variability in outcomes using mathematical modeling.

    Science.gov (United States)

    Rommelfanger, D M; Offord, C P; Dev, J; Bajzer, Z; Vile, R G; Dingli, D

    2012-05-01

    Tumor selective, replication competent viruses are being tested for cancer gene therapy. This approach introduces a new therapeutic paradigm due to potential replication of the therapeutic agent and induction of a tumor-specific immune response. However, the experimental outcomes are quite variable, even when studies utilize highly inbred strains of mice and the same cell line and virus. Recognizing that virotherapy is an exercise in population dynamics, we utilize mathematical modeling to understand the variable outcomes observed when B16ova malignant melanoma tumors are treated with vesicular stomatitis virus in syngeneic, fully immunocompetent mice. We show how variability in the initial tumor size and the actual amount of virus delivered to the tumor have critical roles on the outcome of therapy. Virotherapy works best when tumors are small, and a robust innate immune response can lead to superior tumor control. Strategies that reduce tumor burden without suppressing the immune response and methods that maximize the amount of virus delivered to the tumor should optimize tumor control in this model system.

  16. Transitioning a bachelor of science in nursing program to blended learning: Successes, challenges & outcomes.

    Science.gov (United States)

    Posey, Laurie; Pintz, Christine

    2017-09-01

    To help address the challenges of providing undergraduate nursing education in an accelerated time frame, the Teaching and Transforming through Technology (T3) project was funded to transition a second-degree ABSN program to a blended learning format. The project has explored the use of blended learning to: enable flexible solutions to support teaching goals and address course challenges; provide students with new types of independent learning activities outside of the traditional classroom; increase opportunities for active learning in the classroom; and improve students' digital literacy and lifelong learning skills. Program evaluation included quality reviews of the redesigned courses, surveys of student perceptions, pre- and post-program assessment of students' digital literacy and interviews with faculty about their experiences with the new teaching methods. Adopting an established quality framework to guide course design and evaluation for quality contributed to the efficient and effective development of a high-quality undergraduate blended nursing program. Program outcomes and lessons learned are presented to inform future teaching innovation and research related to blended learning in undergraduate nursing education. Copyright © 2016 Elsevier Ltd. All rights reserved.

  17. Digital and traditional slides for teaching cellular morphology: a comparative analysis of learning outcomes.

    Science.gov (United States)

    Solberg, Brooke L

    2012-01-01

    Recent advances in technology have brought forth an intriguing new tool for teaching hematopoietic cellular identification skills: the digital slide. Although digitized slides offer a number of appealing options for educators, little research has been done to examine how their utilization would impact learning outcomes. To fill that void, this study was designed to examine student performance, skill retention and transferability, and self-efficacy beliefs amongst undergraduate MLS students learning cellular morphology with digital versus traditional slides. Results showed that students learning with digital slides performed better on assessments containing only traditional slide specimens than students learning with traditional slides, both immediately following the learning activity and after a considerable duration of time. Students learning with digital slides also reported slightly higher levels of self-efficacy related to cellular identification. The findings of this study suggest that students learning cellular identification skills with digital slides are able to transfer that skill directly to traditional slides, and that their ability to identify cells is not negatively affected in present or future settings.

  18. Active learning on the ward: outcomes from a comparative trial with traditional methods.

    Science.gov (United States)

    Melo Prado, Hegla; Hannois Falbo, Gilliatt; Rodrigues Falbo, Ana; Natal Figueirôa, José

    2011-03-01

    Academic activity during internship is essentially practical and ward rounds are traditionally considered the cornerstone of clinical education. However, the efficacy and effectiveness of ward rounds for learning purposes have been under-investigated and it is necessary to assess alternative educational paradigms for this activity. This study aimed to compare the educational effectiveness of ward rounds conducted with two different learning methodologies. Student subjects were first tested on 30 true/false questions to assess their initial degree of knowledge on pneumonia and diarrhoea. Afterwards, they attended ward rounds conducted using an active and a traditional learning methodology. The participants were submitted to a second test 48hours later in order to assess knowledge acquisition and were asked to answer two questions about self-directed learning and their opinions on the two learning methodologies used. Seventy-two medical students taking part in a paediatric clinic rotation were enrolled. The active methodology proved to be more effective than the traditional methodology for the three outcomes considered: knowledge acquisition (33 students [45.8%] versus 21 students [29.2%]; p=0.03); self-directed learning (38 students [52.8%] versus 11 students [15.3%]; pmethods (61 students [84.7%] versus 38 students [52.8%]; ptraditional methodology in a ward-based context. This study seems to be valuable in terms of the new evidence it demonstrates on learning methodologies in the context of the ward round. © Blackwell Publishing Ltd 2011.

  19. Cortical ensemble activity increasingly predicts behaviour outcomes during learning of a motor task

    Science.gov (United States)

    Laubach, Mark; Wessberg, Johan; Nicolelis, Miguel A. L.

    2000-06-01

    When an animal learns to make movements in response to different stimuli, changes in activity in the motor cortex seem to accompany and underlie this learning. The precise nature of modifications in cortical motor areas during the initial stages of motor learning, however, is largely unknown. Here we address this issue by chronically recording from neuronal ensembles located in the rat motor cortex, throughout the period required for rats to learn a reaction-time task. Motor learning was demonstrated by a decrease in the variance of the rats' reaction times and an increase in the time the animals were able to wait for a trigger stimulus. These behavioural changes were correlated with a significant increase in our ability to predict the correct or incorrect outcome of single trials based on three measures of neuronal ensemble activity: average firing rate, temporal patterns of firing, and correlated firing. This increase in prediction indicates that an association between sensory cues and movement emerged in the motor cortex as the task was learned. Such modifications in cortical ensemble activity may be critical for the initial learning of motor tasks.

  20. Student learning outcomes associated with video vs. paper cases in a public health dentistry course.

    Science.gov (United States)

    Chi, Donald L; Pickrell, Jacqueline E; Riedy, Christine A

    2014-01-01

    Educational technologies such as video cases can improve health professions student learning outcomes, but few studies in dentistry have evaluated video-based technologies. The goal of this study was to compare outcomes associated with video and paper cases used in an introductory public health dentistry course. This was a retrospective cohort study with a historical control group. Based on dual coding theory, the authors tested the hypotheses that dental students who received a video case (n=37) would report better affective, cognitive, and overall learning outcomes than students who received a paper case (n=75). One-way ANOVA was used to test the hypotheses across ten cognitive, two affective, and one general assessment measures (α=0.05). Students in the video group reported a significantly higher overall mean effectiveness score than students in the paper group (4.2 and 3.3, respectively; p<0.001). Video cases were also associated with significantly higher mean scores across the remaining twelve measures and were effective in helping students achieve cognitive (e.g., facilitating good discussions, identifying public health problems, realizing how health disparities might impact their future role as dentists) and affective (e.g., empathizing with vulnerable individuals, appreciating how health disparities impact real people) goals. Compared to paper cases, video cases significantly improved cognitive, affective, and overall learning outcomes for dental students.

  1. The interrupted learner: How distractions during live and video lectures influence learning outcomes.

    Science.gov (United States)

    Zureick, Andrew H; Burk-Rafel, Jesse; Purkiss, Joel A; Hortsch, Michael

    2017-11-27

    New instructional technologies have been increasingly incorporated into the medical school learning environment, including lecture video recordings as a substitute for live lecture attendance. The literature presents varying conclusions regarding how this alternative experience impacts students' academic success. Previously, a multi-year study of the first-year medical histology component at the University of Michigan found that live lecture attendance was positively correlated with learning success, while lecture video use was negatively correlated. Here, three cohorts of first-year medical students (N = 439 respondents, 86.6% response rate) were surveyed in greater detail regarding lecture attendance and video usage, focusing on study behaviors that may influence histology learning outcomes. Students who reported always attending lectures or viewing lecture videos had higher average histology scores than students who employed an inconsistent strategy (i.e., mixing live attendance and video lectures). Several behaviors were negatively associated with histology performance. Students who engaged in "non-lecture activities" (e.g., social media use), students who reported being interrupted while watching the lecture video, or feeling sleepy/losing focus had lower scores than their counterparts not engaging in these behaviors. This study suggests that interruptions and distractions during medical learning activities-whether live or recorded-can have an important impact on learning outcomes. Anat Sci Educ 00: 000-000. © 2017 American Association of Anatomists. © 2017 American Association of Anatomists.

  2. Selected engagement factors and academic learning outcomes of undergraduate engineering students

    Science.gov (United States)

    Justice, Patricia J.

    The concept of student engagement and its relationship to successful student performance and learning outcomes has a long history in higher education (Kuh, 2007). Attention to faculty and student engagement has only recently become of interest to the engineering education community. This interest can be attributed to long-standing research by George Kuh's, National Survey of Student Engagement (NSSE) at the Indiana University Center for Postsecondary Research. In addition, research projects sponsored by the National Science Foundation, the Academic Pathway Study (APS) at the Center for the Advancement of Engineering Education (CAEE) and the Center for the Advancement of Scholarship on Engineering Education (CASEE), Measuring Student and Faculty Engagement in Engineering Education, at the National Academy of Engineering. These research studies utilized the framework and data from the Engineering Change study by the Center for the Study of Higher Education, Pennsylvania State, that evaluated the impact of the new Accreditation Board of Engineering and Technology (ABET) EC2000 "3a through k" criteria identify 11 learning outcomes expected of engineering graduates. The purpose of this study was to explore the extent selected engagement factors of 1. institution, 2. social, 3. cognitive, 4. finance, and 5. technology influence undergraduate engineering students and quality student learning outcomes. Through the descriptive statistical analysis indicates that there maybe problems in the engineering program. This researcher would have expected at least 50% of the students to fall in the Strongly Agree and Agree categories. The data indicated that the there maybe problems in the engineering program problems in the data. The problems found ranked in this order: 1). Dissatisfaction with faculty instruction methods and quality of instruction and not a clear understanding of engineering majors , 2). inadequate Engineering faculty and advisors availability especially applicable

  3. Case-Mix Variables and Predictors for Outcomes of Laparoscopic Hysterectomy: A Systematic Review.

    Science.gov (United States)

    Driessen, Sara R C; Sandberg, Evelien M; la Chapelle, Claire F; Twijnstra, Andries R H; Rhemrev, Johann P T; Jansen, Frank Willem

    2016-01-01

    The assessment of surgical quality is complex, and an adequate case-mix correction is missing in currently applied quality indicators. The purpose of this study is to give an overview of all studies mentioning statistically significant associations between patient characteristics and surgical outcomes for laparoscopic hysterectomy (LH). Additionally, we identified a set of potential case-mix characteristics for LH. This systematic review was conducted according to the Meta-Analysis of Observational Studies in Epidemiology guidelines. We searched PubMed and EMBASE from January 1, 2000 to August 1, 2015. All articles describing statistically significant associations between patient characteristics and adverse outcomes of LH for benign indications were included. Primary outcomes were blood loss, operative time, conversion, and complications. The methodologic quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. The included articles were summed per predictor and surgical outcome. Three sets of case-mix characteristics were determined, stratified by different levels of evidence. Eighty-five of 1549 identified studies were considered eligible. Uterine weight and body mass index (BMI) were the most mentioned predictors (described, respectively, 83 and 45 times) in high quality studies. For longer operative time and higher blood loss, uterine weight ≥ 250 to 300 g and ≥500 g and BMI ≥ 30 kg/m(2) dominated as predictors. Previous operations, adhesions, and higher age were also considered as predictors for longer operative time. For complications and conversions, the patient characteristics varied widely, and uterine weight, BMI, previous operations, adhesions, and age predominated. Studies of high methodologic quality indicated uterine weight and BMI as relevant case-mix characteristics for all surgical outcomes. For future development of quality indicators of LH and to compare surgical outcomes adequately, a case

  4. Motivation in foreign language learning: a look at type of school environment as a contextual variable

    Directory of Open Access Journals (Sweden)

    Pavičić Takać Višnja

    2014-12-01

    Full Text Available Impelled by the observation that motivation might be one of the most important factors within the affective domain influencing foreign language learning (FLL, the field of second language acquisition (SLA has seen an intense worldwide interest in empirical research in motivational issues. The studies have been rooted in different theories and methodologies, (most notably those advanced by Gardner and Dörnyei and their respective associates that have given precedence to a number of variables assumed to play an important role in understanding the phenomenon of FLL motivation. The present study is set between the macroperspective of the social-psychological period–by giving a general view of second language motivation–and the situation-specific period–by taking into consideration the immediate learning context. It focuses on exploring the nature of FLL motivation in Croatia at secondary education level where FLL is part of core curriculum. In particular, it explores the role of one specific contextual variable that has been largely ignored in SLA motivational research, i.e. type of school environment, and its interaction with gender and success in FLL.

  5. The development of interactive multimedia based on auditory, intellectually, repetition in repetition algorithm learning to increase learning outcome

    Science.gov (United States)

    Munir; Sutarno, H.; Aisyah, N. S.

    2018-05-01

    This research aims to find out how the development of interactive multimedia based on auditory, intellectually, and repetition can improve student learning outcomes. This interactive multimedia is developed through 5 stages. Analysis stages include the study of literature, questionnaire, interviews and observations. The design phase is done by the database design, flowchart, storyboards and repetition algorithm material while the development phase is done by the creation of web-based framework. Presentation material is adapted to the model of learning such as auditory, intellectually, repetition. Auditory points are obtained by recording the narrative material that presented by a variety of intellectual points. Multimedia as a product is validated by material and media experts. Implementation phase conducted on grade XI-TKJ2 SMKN 1 Garut. Based on index’s gain, an increasing of student learning outcomes in this study is 0.46 which is fair due to interest of student in using interactive multimedia. While the multimedia assessment earned 84.36% which is categorized as very well.

  6. Improve Outcomes Study subjects Chemistry Teaching and Learning Strategies through independent study with the help of computer-based media

    Science.gov (United States)

    Sugiharti, Gulmah

    2018-03-01

    This study aims to see the improvement of student learning outcomes by independent learning using computer-based learning media in the course of STBM (Teaching and Learning Strategy) Chemistry. Population in this research all student of class of 2014 which take subject STBM Chemistry as many as 4 class. While the sample is taken by purposive as many as 2 classes, each 32 students, as control class and expriment class. The instrument used is the test of learning outcomes in the form of multiple choice with the number of questions as many as 20 questions that have been declared valid, and reliable. Data analysis techniques used one-sided t test and improved learning outcomes using a normalized gain test. Based on the learning result data, the average of normalized gain values for the experimental class is 0,530 and for the control class is 0,224. The result of the experimental student learning result is 53% and the control class is 22,4%. Hypothesis testing results obtained t count> ttable is 9.02> 1.6723 at the level of significance α = 0.05 and db = 58. This means that the acceptance of Ha is the use of computer-based learning media (CAI Computer) can improve student learning outcomes in the course Learning Teaching Strategy (STBM) Chemistry academic year 2017/2018.

  7. Effects of surgeon variability on oncologic and functional outcomes in a population-based setting.

    Science.gov (United States)

    Carlsson, Sigrid; Berglund, Anders; Sjoberg, Daniel; Khatami, Ali; Stranne, Johan; Bergdahl, Svante; Lodding, Pär; Aus, Gunnar; Vickers, Andrew; Hugosson, Jonas

    2014-03-06

    Oncologic and functional outcomes after radical prostatectomy (RP) can vary between surgeons to a greater extent than is expected by chance. We sought to examine the effects of surgeon variation on functional and oncologic outcomes for patients undergoing RP for prostate cancer in a European center. The study comprised 1,280 men who underwent open retropubic RP performed by one of nine surgeons at an academic institution in Sweden between 2001 and 2008. Potency and continence outcomes were measured preoperatively and 18 months postoperatively by patient-administered questionnaires. Biochemical recurrence (BCR) was defined as a prostate-specific antigen (PSA) value > 0.2 ng/mL with at least one confirmatory rise. Multivariable random effect models were used to evaluate heterogeneity between surgeons, adjusting for case mix (age, PSA, pathological stage and grade), year of surgery, and surgical experience. Of 679 men potent at baseline, 647 provided data at 18 months with 122 (19%) reporting potency. We found no evidence for heterogeneity of potency outcomes between surgeons (P = 1). The continence rate for patients at 18 months was 85%, with 836 of the 979 patients who provided data reporting continence. There was statistically significant heterogeneity between surgeons (P = 0.001). We did not find evidence of an association between surgeons' adjusted probabilities of functional recovery and 5-year probability of freedom from BCR. Our data support previous studies regarding a large heterogeneity among surgeons in continence outcomes for patients undergoing RP. This indicates that some patients are receiving sub-optimal care. Quality assurance measures involving performance feedback, should be considered. When surgeons are aware of their outcomes, they can improve them to provide better care to patients.

  8. Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending.

    Science.gov (United States)

    Rose, Sherri

    2018-03-11

    To propose nonparametric double robust machine learning in variable importance analyses of medical conditions for health spending. 2011-2012 Truven MarketScan database. I evaluate how much more, on average, commercially insured enrollees with each of 26 of the most prevalent medical conditions cost per year after controlling for demographics and other medical conditions. This is accomplished within the nonparametric targeted learning framework, which incorporates ensemble machine learning. Previous literature studying the impact of medical conditions on health care spending has almost exclusively focused on parametric risk adjustment; thus, I compare my approach to parametric regression. My results demonstrate that multiple sclerosis, congestive heart failure, severe cancers, major depression and bipolar disorders, and chronic hepatitis are the most costly medical conditions on average per individual. These findings differed from those obtained using parametric regression. The literature may be underestimating the spending contributions of several medical conditions, which is a potentially critical oversight. If current methods are not capturing the true incremental effect of medical conditions, undesirable incentives related to care may remain. Further work is needed to directly study these issues in the context of federal formulas. © Health Research and Educational Trust.

  9. Learning outcomes of occupational therapy and physiotherapy students during their communitybased education attachment

    Directory of Open Access Journals (Sweden)

    T Ndlovu

    2017-12-01

    Full Text Available Background. Community-based education (CBE is a learning approach that enables students to acquire skills by means of applied learning in the community. The goals of CBE include creating adequate knowledge, skills and attitudes that facilitate service delivery in communities. These goals ensure the provision of efficient health services to marginalised communities with significant resource constraints. The Department of Rehabilitation at the University of Zimbabwe, Harare, has adopted CBE as one of the learning approaches that enables students to acquire comprehensive skills for future service provision in the community.Objectives. To determine the learning outcomes of rehabilitation students at the University of Zimbabwe and to identify factors affecting learning during the CBE attachments.Methods. A descriptive cross-sectional survey was conducted at the University of Zimbabwe. Thirty-five final-year occupational therapy and physiotherapy students responded to a self-administered questionnaire. Data were analysed using Microsoft Excel 2013 (USA and SPSS version 21 (IBM Corp., USA.Results. All the students reported that the CBE attachment improved their community-engagement skills, professional skills and personal growth. Barriers to effective learning included inadequate transport (100%, poor internet connectivity (82%, lack of research-related objectives (74% and inadequate resources for CBE activities (60%.Conclusion. The CBE attachment enabled students to gain skills in community engagement, professionalism and personal growth. However, more funding directed towards CBE activities and introducing objectives related to research, are some of the strategies that might improve the students’ learning outcomes during the attachments.

  10. A dynamic perspective on School Learning Environment and its impact on student learning outcomes

    NARCIS (Netherlands)

    Kyriakides, Leonidas; Creemers, Bert P.M.; Kuger, Susanne; Jude, Nina; Kaplan, David

    2016-01-01

    In this chapter, a brief review of studies looking at various psychological dimensions of the School Learning Environment (SLE) is provided, and the methods used to measure these dimensions of SLE are presented. Since the focus of the Programme for International Student Assessment (PISA) 2015 was on

  11. Blended Learning in Chemistry Laboratory Courses: Enhancing Learning Outcomes and Aligning Student Needs with Available Resources

    Science.gov (United States)

    Burchett, Shayna Brianne

    2016-01-01

    Freshman science courses are intended to prepare students for the rigor and expectations of subsequent college science. While secondary education aims to prepare students for the college curriculum, many incoming freshman lack the sense of responsibility for their own learning that is essential for success in a college-level course. The freshman…

  12. Learning outcomes and effective communication techniques for hazard recognition learning programmes in the transportation thrust area.

    CSIR Research Space (South Africa)

    Krige, PD

    2001-12-01

    Full Text Available on South African mines ............................................ 32 4.3 People development and training techniques associated with confidence, attitudes and leadership............................................ 34 Page 4 4.4 Recommended learning... to rules and procedures, safety commitment of management, supervision style, organising for safety, equipment design and maintenance. Only the last two are engineering issues. The trend is clear. Improvements in engineering design have significantly...

  13. Learning Behaviour and Learning Outcomes: The Roles for Social Influence and Field of Study

    Science.gov (United States)

    Smyth, Lillian; Mavor, Kenneth I.; Platow, Michael J.

    2017-01-01

    Research has demonstrated a significant role of discipline social identification in predicting learning approaches, even controlling for individual differences. Smyth et al. ("Educ Psychol" 35(1):53-72, 2015. doi:10.1080/01443410.2013.822962) suggest that learners share discipline-based social identifications, and that this…

  14. Assessing Metacognition as a Learning Outcome in a Postsecondary Strategic Learning Course

    Science.gov (United States)

    Mytkowicz, Patricia; Goss, Diane; Steinberg, Bruce

    2014-01-01

    While metacognition is an important component of the learning process for college students, development of metacognitive knowledge and regulation is particularly important for students with LD and/or ADHD. The researchers used Schraw and Dennison's (1994) "Metacognitive Awareness Inventory" (MAI) to assess first year college students'…

  15. Optional Anatomy and Physiology e-Learning Resources: Student Access, Learning Approaches, and Academic Outcomes

    Science.gov (United States)

    Guy, Richard,; Byrne, Bruce; Dobos, Marian

    2018-01-01

    Anatomy and physiology interactive video clips were introduced into a blended learning environment, as an optional resource, and were accessed by ~50% of the cohort. Student feedback indicated that clips were engaging, assisted understanding of course content, and provided lecture support. Students could also access two other optional online…

  16. How do task characteristics affect learning and performance? The roles of variably mapped and dynamic tasks.

    Science.gov (United States)

    Macnamara, Brooke N; Frank, David J

    2018-05-01

    For well over a century, scientists have investigated individual differences in performance. The majority of studies have focused on either differences in practice, or differences in cognitive resources. However, the predictive ability of either practice or cognitive resources varies considerably across tasks. We are the first to examine task characteristics' impact on learning and performance in a complex task while controlling for other task characteristics. In 2 experiments we test key theoretical task characteristic thought to moderate the relationship between practice, cognitive resources, and performance. We devised a task where each of several key task characteristics can be manipulated independently. Participants played 5 rounds of a game similar to the popular tower defense videogame Plants vs. Zombies where both cognitive load and game characteristics were manipulated. In Experiment 1, participants either played a consistently mapped version-the stimuli and the associated meaning of their properties were constant across the 5 rounds-or played a variably mapped version-the stimuli and the associated meaning of their properties changed every few minutes. In Experiment 2, participants either played a static version-that is, turn taking with no time pressure-or played a dynamic version-that is, the stimuli moved regardless of participants' response rates. In Experiment 1, participants' accuracy and efficiency were substantially hindered in the variably mapped conditions. In Experiment 2, learning and performance accuracy were hindered in the dynamic conditions, especially when under cognitive load. Our results suggest that task characteristics impact the relative importance of cognitive resources and practice on predicting learning and performance. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  17. Association between socioeconomic status, learned helplessness, and disease outcome in patients with inflammatory polyarthritis.

    Science.gov (United States)

    Camacho, E M; Verstappen, S M M; Symmons, D P M

    2012-08-01

    Independent investigations have shown that socioeconomic status (SES) and learned helplessness (LH) are associated with poor disease outcome in patients with rheumatoid arthritis (RA). Our aim was to investigate the cross-sectional relationship between SES, LH, and disease outcome in patients with recent-onset inflammatory polyarthritis (IP), the broader group of conditions of which RA is the major constituent. SES was measured using the Index of Multiple Deprivation 2007 for 553 patients consecutively recruited to the Norfolk Arthritis Register. Patients also completed the Rheumatology Attitudes Index, a measure of LH. SES and LH were investigated as predictors of disease outcome (functional disability [Health Assessment Questionnaire (HAQ)] and disease activity [Disease Activity Score in 28 joints]) in a regression analysis, adjusted for age, sex, and symptom duration. The role of LH in the relationship between SES and disease outcome was then investigated. Compared to patients of the highest SES, those of the lowest SES had a significantly worse outcome (median difference in HAQ score 0.42; 95% confidence interval [95% CI] 0.08, 0.75). Compared to patients with normal LH, patients with low LH had a significantly better outcome and patients with high LH had a significantly worse outcome (median difference in HAQ score 1.12; 95% CI 0.82, 1.41). There was a significant likelihood that LH mediated the association between SES and disease outcome (P = 0.04). LH is robustly associated with cross-sectional disease outcome in patients with IP, and appears to mediate the relationship between SES and disease outcome. As LH is potentially modifiable, these findings have potential clinical implications. Copyright © 2012 by the American College of Rheumatology.

  18. Age at disease onset and peak ammonium level rather than interventional variables predict the neurological outcome in urea cycle disorders.

    Science.gov (United States)

    Posset, Roland; Garcia-Cazorla, Angeles; Valayannopoulos, Vassili; Teles, Elisa Leão; Dionisi-Vici, Carlo; Brassier, Anaïs; Burlina, Alberto B; Burgard, Peter; Cortès-Saladelafont, Elisenda; Dobbelaere, Dries; Couce, Maria L; Sykut-Cegielska, Jolanta; Häberle, Johannes; Lund, Allan M; Chakrapani, Anupam; Schiff, Manuel; Walter, John H; Zeman, Jiri; Vara, Roshni; Kölker, Stefan

    2016-09-01

    Patients with urea cycle disorders (UCDs) have an increased risk of neurological disease manifestation. Determining the effect of diagnostic and therapeutic interventions on the neurological outcome. Evaluation of baseline, regular follow-up and emergency visits of 456 UCD patients prospectively followed between 2011 and 2015 by the E-IMD patient registry. About two-thirds of UCD patients remained asymptomatic until age 12 days [i.e. the median age at diagnosis of patients identified by newborn screening (NBS)] suggesting a potential benefit of NBS. In fact, NBS lowered the age at diagnosis in patients with late onset of symptoms (>28 days), and a trend towards improved long-term neurological outcome was found for patients with argininosuccinate synthetase and lyase deficiency as well as argininemia identified by NBS. Three to 17 different drug combinations were used for maintenance therapy, but superiority of any single drug or specific drug combination above other combinations was not demonstrated. Importantly, non-interventional variables of disease severity, such as age at disease onset and peak ammonium level of the initial hyperammonemic crisis (cut-off level: 500 μmol/L) best predicted the neurological outcome. Promising results of NBS for late onset UCD patients are reported and should be re-evaluated in a larger and more advanced age group. However, non-interventional variables affect the neurological outcome of UCD patients. Available evidence-based guideline recommendations are currently heterogeneously implemented into practice, leading to a high variability of drug combinations that hamper our understanding of optimised long-term and emergency treatment.

  19. Semiparametric methods for estimation of a nonlinear exposure‐outcome relationship using instrumental variables with application to Mendelian randomization

    Science.gov (United States)

    Staley, James R.

    2017-01-01

    ABSTRACT Mendelian randomization, the use of genetic variants as instrumental variables (IV), can test for and estimate the causal effect of an exposure on an outcome. Most IV methods assume that the function relating the exposure to the expected value of the outcome (the exposure‐outcome relationship) is linear. However, in practice, this assumption may not hold. Indeed, often the primary question of interest is to assess the shape of this relationship. We present two novel IV methods for investigating the shape of the exposure‐outcome relationship: a fractional polynomial method and a piecewise linear method. We divide the population into strata using the exposure distribution, and estimate a causal effect, referred to as a localized average causal effect (LACE), in each stratum of population. The fractional polynomial method performs metaregression on these LACE estimates. The piecewise linear method estimates a continuous piecewise linear function, the gradient of which is the LACE estimate in each stratum. Both methods were demonstrated in a simulation study to estimate the true exposure‐outcome relationship well, particularly when the relationship was a fractional polynomial (for the fractional polynomial method) or was piecewise linear (for the piecewise linear method). The methods were used to investigate the shape of relationship of body mass index with systolic blood pressure and diastolic blood pressure. PMID:28317167

  20. Measuring Learning Outcomes. Evolution of Cognitive Skills among Graduate Students in Auditing

    DEFF Research Database (Denmark)

    Holm, Claus; Steenholdt, Niels

    with the knowledge provided in a graduate course the student learns from his prior experiences and stores the important aspects of each experience in memory in accordance with such schemas. The schemas available for students taking a graduate auditing course reflects prior accounting work experience for some...... students and undergraduate accounting coursework experience for all students. This paper extends prior research on the role of declarative and procedural knowledge in performing auditing tasks. Measuring learning outcomes is a complex matter requiring sensible measures for both declarative knowledge...... outcomes in the context of an auditing course by posing a broad set of questions testing declarative knowledge and the full range of intellectual skills from discrimination to the use of higher-order-rules . The paper presents data collected in September 1999 including 34 graduate students representing...