Sample records for individual learning system

  1. Age-related declines of stability in visual perceptual learning.

    PubMed

    Chang, Li-Hung; Shibata, Kazuhisa; Andersen, George J; Sasaki, Yuka; Watanabe, Takeo

    2014-12-15

    One of the biggest questions in learning is how a system can resolve the plasticity and stability dilemma. Specifically, the learning system needs to have not only a high capability of learning new items (plasticity) but also a high stability to retain important items or processing in the system by preventing unimportant or irrelevant information from being learned. This dilemma should hold true for visual perceptual learning (VPL), which is defined as a long-term increase in performance on a visual task as a result of visual experience. Although it is well known that aging influences learning, the effect of aging on the stability and plasticity of the visual system is unclear. To address the question, we asked older and younger adults to perform a task while a task-irrelevant feature was merely exposed. We found that older individuals learned the task-irrelevant features that younger individuals did not learn, both the features that were sufficiently strong for younger individuals to suppress and the features that were too weak for younger individuals to learn. At the same time, there was no plasticity reduction in older individuals within the task tested. These results suggest that the older visual system is less stable to unimportant information than the younger visual system. A learning problem with older individuals may be due to a decrease in stability rather than a decrease in plasticity, at least in VPL. Copyright © 2014 Elsevier Ltd. All rights reserved.

  2. Am I Extravert or Introvert? Considering the Personality Effect toward e-Learning System

    ERIC Educational Resources Information Center

    Al-Dujaily, Amal; Kim, Jieun; Ryu, Hokyoung

    2013-01-01

    A concern of computer-based learning system design is how to accommodate learners' individual differences during learning activities. Previous research suggests that adaptive e-learning systems can effectively address such individual differences and, consequently, they enable more directed tutoring via computer-assisted instruction. In this paper,…

  3. Elevated depressive symptoms enhance reflexive but not reflective auditory category learning.

    PubMed

    Maddox, W Todd; Chandrasekaran, Bharath; Smayda, Kirsten; Yi, Han-Gyol; Koslov, Seth; Beevers, Christopher G

    2014-09-01

    In vision an extensive literature supports the existence of competitive dual-processing systems of category learning that are grounded in neuroscience and are partially-dissociable. The reflective system is prefrontally-mediated and uses working memory and executive attention to develop and test rules for classifying in an explicit fashion. The reflexive system is striatally-mediated and operates by implicitly associating perception with actions that lead to reinforcement. Although categorization is fundamental to auditory processing, little is known about the learning systems that mediate auditory categorization and even less is known about the effects of individual difference in the relative efficiency of the two learning systems. Previous studies have shown that individuals with elevated depressive symptoms show deficits in reflective processing. We exploit this finding to test critical predictions of the dual-learning systems model in audition. Specifically, we examine the extent to which the two systems are dissociable and competitive. We predicted that elevated depressive symptoms would lead to reflective-optimal learning deficits but reflexive-optimal learning advantages. Because natural speech category learning is reflexive in nature, we made the prediction that elevated depressive symptoms would lead to superior speech learning. In support of our predictions, individuals with elevated depressive symptoms showed a deficit in reflective-optimal auditory category learning, but an advantage in reflexive-optimal auditory category learning. In addition, individuals with elevated depressive symptoms showed an advantage in learning a non-native speech category structure. Computational modeling suggested that the elevated depressive symptom advantage was due to faster, more accurate, and more frequent use of reflexive category learning strategies in individuals with elevated depressive symptoms. The implications of this work for dual-process approach to auditory learning and depression are discussed. Copyright © 2014 Elsevier Ltd. All rights reserved.

  4. Elevated Depressive Symptoms Enhance Reflexive but not Reflective Auditory Category Learning

    PubMed Central

    Maddox, W. Todd; Chandrasekaran, Bharath; Smayda, Kirsten; Yi, Han-Gyol; Koslov, Seth; Beevers, Christopher G.

    2014-01-01

    In vision an extensive literature supports the existence of competitive dual-processing systems of category learning that are grounded in neuroscience and are partially-dissociable. The reflective system is prefrontally-mediated and uses working memory and executive attention to develop and test rules for classifying in an explicit fashion. The reflexive system is striatally-mediated and operates by implicitly associating perception with actions that lead to reinforcement. Although categorization is fundamental to auditory processing, little is known about the learning systems that mediate auditory categorization and even less is known about the effects of individual difference in the relative efficiency of the two learning systems. Previous studies have shown that individuals with elevated depressive symptoms show deficits in reflective processing. We exploit this finding to test critical predictions of the dual-learning systems model in audition. Specifically, we examine the extent to which the two systems are dissociable and competitive. We predicted that elevated depressive symptoms would lead to reflective-optimal learning deficits but reflexive-optimal learning advantages. Because natural speech category learning is reflexive in nature, we made the prediction that elevated depressive symptoms would lead to superior speech learning. In support of our predictions, individuals with elevated depressive symptoms showed a deficit in reflective-optimal auditory category learning, but an advantage in reflexive-optimal auditory category learning. In addition, individuals with elevated depressive symptoms showed an advantage in learning a non-native speech category structure. Computational modeling suggested that the elevated depressive symptom advantage was due to faster, more accurate, and more frequent use of reflexive category learning strategies in individuals with elevated depressive symptoms. The implications of this work for dual-process approach to auditory learning and depression are discussed. PMID:25041936

  5. An Empirical Examination of Individual and System Characteristics on Enhancing E-Learning Acceptance

    ERIC Educational Resources Information Center

    Lee, Yi-Hsuan; Hsiao, Chan; Purnomo, Sutrisno Hadi

    2014-01-01

    Due to the continued prevalence of e-learning underutilization in Indonesia's higher education context, this study empirically examines individual and system characteristics believed to influence students' acceptance of e-learning systems. The proposed research model is developed to examine the influence of five characteristics of the Technology…

  6. An Approach to Building a Learning Management System that Emphasizes on Incorporating Individualized Dissemination with Intelligent Tutoring

    NASA Astrophysics Data System (ADS)

    Ghosh, Sreya

    2017-02-01

    This article proposes a new six-model architecture for an intelligent tutoring system to be incorporated in a learning management system with domain-independence feature and individualized dissemination. The present six model architecture aims to simulate a human tutor. Some recent extensions of using intelligent tutoring system (ITS) explores learning management systems to behave as a real teacher during a teaching-learning process, by taking care of, mainly, the dynamic response system. However, the present paper argues that to mimic a human teacher it needs not only the dynamic response but also the incorporation of the teacher's dynamic review of students' performance and keeping track of their current level of understanding. Here, the term individualization has been used to refer to tailor making of contents and its dissemination fitting to the individual needs and capabilities of learners who is taking a course online and is subjected to teaching in absentia. This paper describes how the individual models of the proposed architecture achieves the features of ITS.

  7. Dissociation of spatial memory systems in Williams syndrome.

    PubMed

    Bostelmann, Mathilde; Fragnière, Emilie; Costanzo, Floriana; Di Vara, Silvia; Menghini, Deny; Vicari, Stefano; Lavenex, Pierre; Lavenex, Pamela Banta

    2017-11-01

    Williams syndrome (WS), a genetic deletion syndrome, is characterized by severe visuospatial deficits affecting performance on both tabletop spatial tasks and on tasks which assess orientation and navigation. Nevertheless, previous studies of WS spatial capacities have ignored the fact that two different spatial memory systems are believed to contribute parallel spatial representations supporting navigation. The place learning system depends on the hippocampal formation and creates flexible relational representations of the environment, also known as cognitive maps. The spatial response learning system depends on the striatum and creates fixed stimulus-response representations, also known as habits. Indeed, no study assessing WS spatial competence has used tasks which selectively target these two spatial memory systems. Here, we report that individuals with WS exhibit a dissociation in their spatial abilities subserved by these two memory systems. As compared to typically developing (TD) children in the same mental age range, place learning performance was impaired in individuals with WS. In contrast, their spatial response learning performance was facilitated. Our findings in individuals with WS and TD children suggest that place learning and response learning interact competitively to control the behavioral strategies normally used to support human spatial navigation. Our findings further suggest that the neural pathways supporting place learning may be affected by the genetic deletion that characterizes WS, whereas those supporting response learning may be relatively preserved. The dissociation observed between these two spatial memory systems provides a coherent theoretical framework to characterize the spatial abilities of individuals with WS, and may lead to the development of new learning strategies based on their facilitated response learning abilities. © 2017 Wiley Periodicals, Inc.

  8. A Novel Approach for Enhancing Lifelong Learning Systems by Using Hybrid Recommender System

    ERIC Educational Resources Information Center

    Kardan, Ahmad A.; Speily, Omid R. B.; Modaberi, Somayyeh

    2011-01-01

    The majority of current web-based learning systems are closed learning environments where courses and learning materials are fixed, and the only dynamic aspect is the organization of the material that can be adapted to allow a relatively individualized learning environment. In this paper, we propose an evolving web-based learning system which can…

  9. Capturing the complexity: Content, type, and amount of instruction and quality of the classroom learning environment synergistically predict third graders’ vocabulary and reading comprehension outcomes

    PubMed Central

    Connor, Carol McDonald; Spencer, Mercedes; Day, Stephanie L.; Giuliani, Sarah; Ingebrand, Sarah W.; McLean, Leigh; Morrison, Frederick J.

    2014-01-01

    We examined classrooms as complex systems that affect students’ literacy learning through interacting effects of content and amount of time individual students spent in literacy instruction along with the global quality of the classroom-learning environment. We observed 27 third grade classrooms serving 315 target students using two different observation systems. The first assessed instruction at a more micro-level; specifically, the amount of time individual students spent in literacy instruction defined by the type of instruction, role of the teacher, and content. The second assessed the quality of the classroom-learning environment at a more macro level focusing on classroom organization, teacher responsiveness, and support for vocabulary and language. Results revealed that both global quality of the classroom learning environment and time individual students spent in specific types of literacy instruction covering specific content interacted to predict students’ comprehension and vocabulary gains whereas neither system alone did. These findings support a dynamic systems model of how individual children learn in the context of classroom literacy instruction and the classroom-learning environment, which can help to improve observations systems, advance research, elevate teacher evaluation and professional development, and enhance student achievement. PMID:25400293

  10. An Assessment-for-Learning System in Mathematics for Individuals with Visual Impairments

    ERIC Educational Resources Information Center

    Hansen, Eric G.; Shute, Valerie J.; Landau, Steven

    2010-01-01

    This study examined the usability of an assessment-for-learning (AfL) system that provides audio-tactile graphics for algebra content (geometric sequences) for individuals with visual impairments--two who are blind and two with low vision. It found that the system is generally usable as a mathematics AfL system. (Contains 4 tables.)

  11. Marking Machinima: A Case Study in Assessing Student Use of a Web 2.0 Technology

    ERIC Educational Resources Information Center

    Barwell, Graham; Moore, Chris; Walker, Ruth

    2011-01-01

    The model of learning best suited to the future may be one which sees learning as the process of managing the different kinds of participation an individual might have in complex social systems. Learning capability and engagement is thus dependent on the relationship between an individual identity and social systems. We report on the incorporation…

  12. Exploring the Dynamic System of TCFL: Individual Differences, Learning and Instruction

    ERIC Educational Resources Information Center

    Su, Henghua

    2012-01-01

    In the setting of TCFL, this dissertation is an exploration of the dynamic development of individual differences and the learning and instruction environment. Major research studies done on motivation and learning strategies are reviewed. The motivation research in foreign language learning is introduced from three different perspectives in…

  13. Social stress reactivity alters reward and punishment learning

    PubMed Central

    Frank, Michael J.; Allen, John J. B.

    2011-01-01

    To examine how stress affects cognitive functioning, individual differences in trait vulnerability (punishment sensitivity) and state reactivity (negative affect) to social evaluative threat were examined during concurrent reinforcement learning. Lower trait-level punishment sensitivity predicted better reward learning and poorer punishment learning; the opposite pattern was found in more punishment sensitive individuals. Increasing state-level negative affect was directly related to punishment learning accuracy in highly punishment sensitive individuals, but these measures were inversely related in less sensitive individuals. Combined electrophysiological measurement, performance accuracy and computational estimations of learning parameters suggest that trait and state vulnerability to stress alter cortico-striatal functioning during reinforcement learning, possibly mediated via medio-frontal cortical systems. PMID:20453038

  14. Social stress reactivity alters reward and punishment learning.

    PubMed

    Cavanagh, James F; Frank, Michael J; Allen, John J B

    2011-06-01

    To examine how stress affects cognitive functioning, individual differences in trait vulnerability (punishment sensitivity) and state reactivity (negative affect) to social evaluative threat were examined during concurrent reinforcement learning. Lower trait-level punishment sensitivity predicted better reward learning and poorer punishment learning; the opposite pattern was found in more punishment sensitive individuals. Increasing state-level negative affect was directly related to punishment learning accuracy in highly punishment sensitive individuals, but these measures were inversely related in less sensitive individuals. Combined electrophysiological measurement, performance accuracy and computational estimations of learning parameters suggest that trait and state vulnerability to stress alter cortico-striatal functioning during reinforcement learning, possibly mediated via medio-frontal cortical systems.

  15. Information Technologies and Workplace Learning.

    ERIC Educational Resources Information Center

    Roth, Gene L.

    1995-01-01

    Information technologies are important tools for individual, team, and organizational learning. Developments in virtual reality and the Internet, performance support systems that increase the efficiency of individuals and groups, and other innovations have the potential to enhance the relationship between work and learning. (SK)

  16. The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

    ERIC Educational Resources Information Center

    Shin, Won Sug; Kang, Minseok

    2015-01-01

    This study investigates online students' acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning's acceptance, and…

  17. Education Technology Policy for a 21st Century Learning System. Policy Brief 13-3

    ERIC Educational Resources Information Center

    Kerchner, Charles Taylor

    2013-01-01

    Internet-related technology has the capacity to change the learning production system in three important ways. First, it creates the capacity to move from the existing batch processing system of teaching and learning to a much more individualized learning system capable of matching instructional style and pace to a student's needs. Second,…

  18. Toward a dual-learning systems model of speech category learning

    PubMed Central

    Chandrasekaran, Bharath; Koslov, Seth R.; Maddox, W. T.

    2014-01-01

    More than two decades of work in vision posits the existence of dual-learning systems of category learning. The reflective system uses working memory to develop and test rules for classifying in an explicit fashion, while the reflexive system operates by implicitly associating perception with actions that lead to reinforcement. Dual-learning systems models hypothesize that in learning natural categories, learners initially use the reflective system and, with practice, transfer control to the reflexive system. The role of reflective and reflexive systems in auditory category learning and more specifically in speech category learning has not been systematically examined. In this article, we describe a neurobiologically constrained dual-learning systems theoretical framework that is currently being developed in speech category learning and review recent applications of this framework. Using behavioral and computational modeling approaches, we provide evidence that speech category learning is predominantly mediated by the reflexive learning system. In one application, we explore the effects of normal aging on non-speech and speech category learning. Prominently, we find a large age-related deficit in speech learning. The computational modeling suggests that older adults are less likely to transition from simple, reflective, unidimensional rules to more complex, reflexive, multi-dimensional rules. In a second application, we summarize a recent study examining auditory category learning in individuals with elevated depressive symptoms. We find a deficit in reflective-optimal and an enhancement in reflexive-optimal auditory category learning. Interestingly, individuals with elevated depressive symptoms also show an advantage in learning speech categories. We end with a brief summary and description of a number of future directions. PMID:25132827

  19. The School Climate Improvement "Process": Essential Elements. School Climate Brief, Number 4

    ERIC Educational Resources Information Center

    National School Climate Center, 2012

    2012-01-01

    Student learning and development are a function of both individual and systemic factors. Individual factors include students' motivation as well as their intellectual and social abilities. Systemic factors include teacher quality, administrative leadership, community engagement, and learning environments. The increasing numbers of children living…

  20. Bottlenose dolphins can use learned vocal labels to address each other

    PubMed Central

    King, Stephanie L.; Janik, Vincent M.

    2013-01-01

    In animal communication research, vocal labeling refers to incidents in which an animal consistently uses a specific acoustic signal when presented with a specific object or class of objects. Labeling with learned signals is a foundation of human language but is notably rare in nonhuman communication systems. In natural animal systems, labeling often occurs with signals that are not influenced by learning, such as in alarm and food calling. There is a suggestion, however, that some species use learned signals to label conspecific individuals in their own communication system when mimicking individually distinctive calls. Bottlenose dolphins (Tursiops truncatus) are a promising animal for exploration in this area because they are capable of vocal production learning and can learn to use arbitrary signals to report the presence or absence of objects. Bottlenose dolphins develop their own unique identity signal, the signature whistle. This whistle encodes individual identity independently of voice features. The copying of signature whistles may therefore allow animals to label or address one another. Here, we show that wild bottlenose dolphins respond to hearing a copy of their own signature whistle by calling back. Animals did not respond to whistles that were not their own signature. This study provides compelling evidence that a dolphin’s learned identity signal is used as a label when addressing conspecifics. Bottlenose dolphins therefore appear to be unique as nonhuman mammals to use learned signals as individually specific labels for different social companions in their own natural communication system. PMID:23878217

  1. Caudate nucleus reactivity predicts perceptual learning rate for visual feature conjunctions.

    PubMed

    Reavis, Eric A; Frank, Sebastian M; Tse, Peter U

    2015-04-15

    Useful information in the visual environment is often contained in specific conjunctions of visual features (e.g., color and shape). The ability to quickly and accurately process such conjunctions can be learned. However, the neural mechanisms responsible for such learning remain largely unknown. It has been suggested that some forms of visual learning might involve the dopaminergic neuromodulatory system (Roelfsema et al., 2010; Seitz and Watanabe, 2005), but this hypothesis has not yet been directly tested. Here we test the hypothesis that learning visual feature conjunctions involves the dopaminergic system, using functional neuroimaging, genetic assays, and behavioral testing techniques. We use a correlative approach to evaluate potential associations between individual differences in visual feature conjunction learning rate and individual differences in dopaminergic function as indexed by neuroimaging and genetic markers. We find a significant correlation between activity in the caudate nucleus (a component of the dopaminergic system connected to visual areas of the brain) and visual feature conjunction learning rate. Specifically, individuals who showed a larger difference in activity between positive and negative feedback on an unrelated cognitive task, indicative of a more reactive dopaminergic system, learned visual feature conjunctions more quickly than those who showed a smaller activity difference. This finding supports the hypothesis that the dopaminergic system is involved in visual learning, and suggests that visual feature conjunction learning could be closely related to associative learning. However, no significant, reliable correlations were found between feature conjunction learning and genotype or dopaminergic activity in any other regions of interest. Copyright © 2015 Elsevier Inc. All rights reserved.

  2. RASCAL: A Rudimentary Adaptive System for Computer-Aided Learning.

    ERIC Educational Resources Information Center

    Stewart, John Christopher

    Both the background of computer-assisted instruction (CAI) systems in general and the requirements of a computer-aided learning system which would be a reasonable assistant to a teacher are discussed. RASCAL (Rudimentary Adaptive System for Computer-Aided Learning) is a first attempt at defining a CAI system which would individualize the learning…

  3. Supporting Teachers in Identifying Students' Learning Styles in Learning Management Systems: An Automatic Student Modelling Approach

    ERIC Educational Resources Information Center

    Graf, Sabine; Kinshuk; Liu, Tzu-Chien

    2009-01-01

    In learning management systems (LMSs), teachers have more difficulties to notice and know how individual students behave and learn in a course, compared to face-to-face education. Enabling teachers to know their students' learning styles and making students aware of their own learning styles increases teachers' and students' understanding about…

  4. Intelligent tutoring systems as tools for investigating individual differences in learning

    NASA Technical Reports Server (NTRS)

    Shute, Valerie J.

    1987-01-01

    The ultimate goal of this research is to build an improved model-based selection and classification system for the United States Air Force. Researchers are developing innovative approaches to ability testing. The Learning Abilities Measurement Program (LAMP) examines individual differences in learning abilities, seeking answers to the questions of why some people learn more and better than others and whether there are basic cognitive processes applicable across tasks and domains that are predictive of successful performance (or whether there are more complex problem solving behaviors involved).

  5. Getting Students to Learn about Information Systems Project Management: An Experiment in Student-centred Learning.

    ERIC Educational Resources Information Center

    Allan, George

    1999-01-01

    A student-centered learning model for a course on information systems project management consisted of individual study and group discussion with facilitator guidance. Data from session records, repertory grids, and a learning network diagram showed that interactive learning was more effective and students took responsibility, although some…

  6. Exploring Online Learning Data Using Fractal Dimensions. Research Report. ETS RR-17-15

    ERIC Educational Resources Information Center

    Guo, Hongwen

    2017-01-01

    Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…

  7. Intelligent Tutoring Systems for Collaborative Learning: Enhancements to Authoring Tools

    ERIC Educational Resources Information Center

    Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol

    2013-01-01

    Collaborative and individual instruction may support different types of knowledge. Optimal instruction for a subject domain may therefore need to combine these two modes of instruction. There has not been much research, however, on combining individual and collaborative learning with Intelligent Tutoring Systems (ITSs). A first step is to expand…

  8. The Design and Development of Identification of Students' Misconceptions in Individualized Learning Environment (iSMILE) System

    ERIC Educational Resources Information Center

    Bhagat, Kaushal Kumar; Subheesh, N. P.; Bhattacharya, Bani; Chang, Chun-Yen

    2017-01-01

    With the rapid development of technology, incorporation of Information Communication Technology (ICT) for formative assessment purpose has been increasing over the past decade. This article describes the design and development of identification of students' misconceptions in an individualized learning environment (iSMILE) system that includes…

  9. Supporting Social Constructivist Learning through the KEEP SLS ePortfolio System

    ERIC Educational Resources Information Center

    Zhang, Xuesong; Olfman, Lorne; Firpo, Daniel

    2010-01-01

    Traditional ePortfolio systems are usually used as an individual learning unit, or an assessment tool in education. However, these systems often lack social constructivist learning features such as sharing, peer review, and group collaboration. This paper describes a new ePortfolio system that supports both personal and social constructivist…

  10. Using Students' Performance to Improve Ontologies for Intelligent E-Learning System

    ERIC Educational Resources Information Center

    Icoz, Kutay; Sanalan, Vehbi A.; Ozdemir, Esra Benli; Kaya, Sukru; Cakar, Mehmet Akif

    2015-01-01

    Ontologies have often been recommended for E-learning systems, but few efforts have successfully incorporated student data to represent knowledge conceptualizations. Defining key concepts and their relations between each other establishes the backbone of our E-learning system. The system guides an individual student through his/her course by…

  11. The MIKS (Member Integrated Knowledge System) Model: A Visualization of the Individual Organizational Member's Role When a Knowledge Management System Is Utilized in the Learning Organization

    ERIC Educational Resources Information Center

    Grobmeier, Cynthia

    2007-01-01

    Relating knowledge management (KM) case studies in various organizational contexts to existing theoretical constructs of learning organizations, a new model, the MIKS (Member Integrated Knowledge System) Model is proposed to include the role of the individual in the process. Their degree of motivation as well as communication and learning…

  12. Putting Words in Their Mouths: The Alignment of Identities with System Goals through the Use of Individual Learning Plans

    ERIC Educational Resources Information Center

    Hamilton, Mary

    2009-01-01

    This article analyses the role of Individual Learning Plans (ILPs) in teachers' work in the "Skills for Life" sector. It shows how ILPs, originally a means of formative assessment, have become part of a system of performance indicators and function as a key mediating mechanism between local interactions and system goals. The article…

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

    ERIC Educational Resources Information Center

    Lubega, Khalid

    2003-01-01

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

  14. A Genetic Algorithm Approach to Recognise Students' Learning Styles

    ERIC Educational Resources Information Center

    Yannibelli, Virginia; Godoy, Daniela; Amandi, Analia

    2006-01-01

    Learning styles encapsulate the preferences of the students, regarding how they learn. By including information about the student learning style, computer-based educational systems are able to adapt a course according to the individual characteristics of the students. In accomplishing this goal, educational systems have been mostly based on the…

  15. Developing a Dynamic Inference Expert System to Support Individual Learning at Work

    ERIC Educational Resources Information Center

    Hung, Yu Hsin; Lin, Chun Fu; Chang, Ray I.

    2015-01-01

    In response to the rapid growth of information in recent decades, knowledge-based systems have become an essential tool for organizational learning. The application of electronic performance-support systems in learning activities has attracted considerable attention from researchers. Nevertheless, the vast, ever-increasing amount of information is…

  16. Understanding Learner Acceptance of Learning Objects: The Roles of Learning Object Characteristics and Individual Differences

    ERIC Educational Resources Information Center

    Lau, Siong-Hoe; Woods, Peter C.

    2009-01-01

    Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…

  17. Constraints on decision making: implications from genetics, personality, and addiction.

    PubMed

    Baker, Travis E; Stockwell, Tim; Holroyd, Clay B

    2013-09-01

    An influential neurocomputational theory of the biological mechanisms of decision making, the "basal ganglia go/no-go model," holds that individual variability in decision making is determined by differences in the makeup of a striatal system for approach and avoidance learning. The model has been tested empirically with the probabilistic selection task (PST), which determines whether individuals learn better from positive or negative feedback. In accordance with the model, in the present study we examined whether an individual's ability to learn from positive and negative reinforcement can be predicted by genetic factors related to the midbrain dopamine system. We also asked whether psychiatric and personality factors related to substance dependence and dopamine affect PST performance. Although we found characteristics that predicted individual differences in approach versus avoidance learning, these observations were qualified by additional findings that appear inconsistent with the predictions of the go/no-go model. These results highlight a need for future research to validate the PST as a measure of basal ganglia reward learning.

  18. Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning

    PubMed Central

    Turk-Browne, Nicholas B.; Botvinick, Matthew M.; Norman, Kenneth A.

    2017-01-01

    A growing literature suggests that the hippocampus is critical for the rapid extraction of regularities from the environment. Although this fits with the known role of the hippocampus in rapid learning, it seems at odds with the idea that the hippocampus specializes in memorizing individual episodes. In particular, the Complementary Learning Systems theory argues that there is a computational trade-off between learning the specifics of individual experiences and regularities that hold across those experiences. We asked whether it is possible for the hippocampus to handle both statistical learning and memorization of individual episodes. We exposed a neural network model that instantiates known properties of hippocampal projections and subfields to sequences of items with temporal regularities. We found that the monosynaptic pathway—the pathway connecting entorhinal cortex directly to region CA1—was able to support statistical learning, while the trisynaptic pathway—connecting entorhinal cortex to CA1 through dentate gyrus and CA3—learned individual episodes, with apparent representations of regularities resulting from associative reactivation through recurrence. Thus, in paradigms involving rapid learning, the computational trade-off between learning episodes and regularities may be handled by separate anatomical pathways within the hippocampus itself. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872368

  19. Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning.

    PubMed

    Schapiro, Anna C; Turk-Browne, Nicholas B; Botvinick, Matthew M; Norman, Kenneth A

    2017-01-05

    A growing literature suggests that the hippocampus is critical for the rapid extraction of regularities from the environment. Although this fits with the known role of the hippocampus in rapid learning, it seems at odds with the idea that the hippocampus specializes in memorizing individual episodes. In particular, the Complementary Learning Systems theory argues that there is a computational trade-off between learning the specifics of individual experiences and regularities that hold across those experiences. We asked whether it is possible for the hippocampus to handle both statistical learning and memorization of individual episodes. We exposed a neural network model that instantiates known properties of hippocampal projections and subfields to sequences of items with temporal regularities. We found that the monosynaptic pathway-the pathway connecting entorhinal cortex directly to region CA1-was able to support statistical learning, while the trisynaptic pathway-connecting entorhinal cortex to CA1 through dentate gyrus and CA3-learned individual episodes, with apparent representations of regularities resulting from associative reactivation through recurrence. Thus, in paradigms involving rapid learning, the computational trade-off between learning episodes and regularities may be handled by separate anatomical pathways within the hippocampus itself.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Author(s).

  20. PELS: A Noble Architecture and Framework for a Personal E-Learning System (PELS)

    ERIC Educational Resources Information Center

    Dewan, Jahangir; Chowdhury, Morshed; Batten, Lynn

    2014-01-01

    This article presents a personal e-learning system architecture in the context of a social network environment. The main objective of a personal e-learning system is to develop individual skills on a specific subject and share resources with peers. The authors' system architecture defines the organisation and management of a personal learning…

  1. On Learning: Metrics Based Systems for Countering Asymmetric Threats

    DTIC Science & Technology

    2006-05-25

    of self- education . While this alone cannot guarantee organizational learning , no organization can learn without a spirit of individual learning ...held views on globalization and the impact of Information Age technology . The emerging environment conceptually links to the learning model as part...On Learning : Metrics Based Systems for Countering Asymmetric Threats A Monograph by MAJ Rafael Lopez U.S. Army School of Advanced Military

  2. Systemic Obstacles to Lifelong Learning: The Influence of the Educational System Design on Learning Attitudes

    ERIC Educational Resources Information Center

    Lavrijsen, Jeroen; Nicaise, Ides

    2017-01-01

    Comparative research has often emphasized the importance of external barriers (e.g. enrolment costs) to explain inequalities in lifelong learning participation. However, individuals, in particular the low educated, are often not only prevented from participation by external barriers, but also by negative psychological dispositions about learning.…

  3. Inclusive E-Learning - Towards an Integrated System Design.

    PubMed

    Patzer, Yasmin; Pinkwart, Niels

    2017-01-01

    At first sight there seem to be issues combining technical accessibility guidelines and educational needs when designing inclusive E-Learning. Furthermore Universal Design for Learning seems to contradict individualization. In this paper we address both issues with an inclusive E-Learning design for the LAYA system, which targets disabled and non-disabled learners.

  4. Identification of Learning Styles Online by Observing Learners Browsing Behaviour through a Neural Network

    ERIC Educational Resources Information Center

    Lo, Jia-Jiunn; Shu, Pai-Chuan

    2005-01-01

    Identification of individual learning style is important when developing adaptive educational hypermedia systems. Current systems ask learners to complete questionnaires to identify their learning styles, which might not be appropriate in some contexts. The goal of this research is to identify the learner's learning style by simply observing…

  5. Acceptance of Competency-Based Workplace e-Learning Systems: Effects of Individual and Peer Learning Support

    ERIC Educational Resources Information Center

    Cheng, Bo; Wang, Minhong; Yang, Stephen J. H.; Kinshuk; Peng, Jun

    2011-01-01

    Current endeavors to integrate competency-based learning approaches with e-learning systems designed for delivery of training to adult learners in the workplace are growing. However, academic efforts in examining learners' perceptions of, and reactions toward, this technology-delivered pedagogical innovation are limited. Drawing together…

  6. Unit Mastery Learning in an Introductory Geography Course

    ERIC Educational Resources Information Center

    Healy, John R.; Stephenson, Larry K.

    1975-01-01

    The unit mastery learning system is a method of individualized, self-paced learning which, through repeatable testing, enables students to attain a mastery of the content of one unit before proceeding to the next in the program. This article describes the unit mastery learning system and its application in an introductory geography course at Hilo…

  7. Exploring Adaptability through Learning Layers and Learning Loops

    ERIC Educational Resources Information Center

    Lof, Annette

    2010-01-01

    Adaptability in social-ecological systems results from individual and collective action, and multi-level interactions. It can be understood in a dual sense as a system's ability to adapt to disturbance and change, and to navigate system transformation. Inherent in this conception, as found in resilience thinking, are the concepts of learning and…

  8. Contextual Learning Issues.

    ERIC Educational Resources Information Center

    1999

    This document contains four symposium papers on contextual learning issues. "Learning to Learn Strategies of Successful Real Estate Professionals: Implications for Learning in the Workplace" (Margot B. Weinstein) describes a multicase study in which a model called the Individual Learning System was used to identify the strategies and…

  9. Learning bias, cultural evolution of language, and the biological evolution of the language faculty.

    PubMed

    Smith, Kenny

    2011-04-01

    The biases of individual language learners act to determine the learnability and cultural stability of languages: learners come to the language learning task with biases which make certain linguistic systems easier to acquire than others. These biases are repeatedly applied during the process of language transmission, and consequently should effect the types of languages we see in human populations. Understanding the cultural evolutionary consequences of particular learning biases is therefore central to understanding the link between language learning in individuals and language universals, common structural properties shared by all the world’s languages. This paper reviews a range of models and experimental studies which show that weak biases in individual learners can have strong effects on the structure of socially learned systems such as language, suggesting that strong universal tendencies in language structure do not require us to postulate strong underlying biases or constraints on language learning. Furthermore, understanding the relationship between learner biases and language design has implications for theories of the evolution of those learning biases: models of gene-culture coevolution suggest that, in situations where a cultural dynamic mediates between properties of individual learners and properties of language in this way, biological evolution is unlikely to lead to the emergence of strong constraints on learning.

  10. Learning Analytics for Supporting Seamless Language Learning Using E-Book with Ubiquitous Learning System

    ERIC Educational Resources Information Center

    Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki

    2018-01-01

    Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…

  11. 34 CFR 464.3 - What kinds of activities may be assisted?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... instruction; (B) Video tapes; (C) Interactive systems; and (D) Data link systems; or (ii) Assessing learning style, screening for learning disabilities, and providing individualized remedial reading instruction...

  12. LIA: An Intelligent Advisor for E-Learning

    ERIC Educational Resources Information Center

    Capuano, Nicola; Gaeta, Matteo; Marengo, Agostino; Miranda, Sergio; Orciuoli, Francesco; Ritrovato, Pierluigi

    2009-01-01

    Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, until now very few systems were able to leave academic laboratories and be integrated into real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA)…

  13. Educational Systems Integrators/Integrated Learning System Project: Titan Schools 1993-94. OER Report.

    ERIC Educational Resources Information Center

    New York City Board of Education, Brooklyn, NY. Office of Educational Research.

    The 1993-94 Integrated Learning System (ILS) project, a means of delivering individualized instruction through a computer network, involved approximately 70 schools from New York City school districts. To help schools learn about and operate the technology in an ILS, districts were given the option of hiring one of the following companies…

  14. Improving Social Understanding of Individuals of Intellectual and Developmental disabilities through a 3D-Facial Expression Intervention Program

    ERIC Educational Resources Information Center

    Cheng, Yufang; Chen, Shuhui

    2010-01-01

    Individuals with intellectual and developmental disabilities (IDD) have specific difficulties in cognitive social-emotional capability, which affect numerous aspects of social competence. This study evaluated the learning effects of using 3D-emotion system intervention program for individuals with IDD in learning socially based-emotions capability…

  15. The Technology-Related Assistance to Individuals with Disabilities Act: Relevance to Individuals with Learning Disabilities and Their Advocates.

    ERIC Educational Resources Information Center

    Bryant, Brian R.; Seay, Penny Crews

    1998-01-01

    Discusses implications of the Technology-Related Assistance to Individuals with Disabilities Act (1988, 1994) for people with learning disabilities. It discusses the rationale for the act; its provisions and goals; and systems change and advocacy activities of state projects concerning policy analysis, funding, interagency collaboration, consumer…

  16. Oxytocin and vasopressin neural networks: implications for social behavioral diversity and translational neuroscience

    PubMed Central

    Johnson, Zachary V.; Young, Larry J.

    2017-01-01

    Oxytocin- and vasopressin-related systems are present in invertebrate and vertebrate bilaterian animals, including humans, and exhibit conserved neuroanatomical and functional properties. In vertebrates, these systems innervate conserved neural networks that regulate social learning and behavior, including conspecific recognition, social attachment, and parental behavior. Individual and species-level variation in central organization of oxytocin and vasopressin systems has been linked to individual and species variation in social learning and behavior. In humans, genetic polymorphisms in the genes encoding oxytocin and vasopressin peptides and/or their respective target receptors have been associated with individual variation in social recognition, social attachment phenotypes, parental behavior, and psychiatric phenotypes such as autism. Here we describe both conserved and variable features of central oxytocin and vasopressin systems in the context of social behavioral diversity, with a particular focus on neural networks that modulate social learning, behavior, and salience of sociosensory stimuli during species-typical social contexts. PMID:28434591

  17. Awareness as an Enactivist Framework for the Mathematical Learning of Teachers, Mentors and Institutions

    ERIC Educational Resources Information Center

    Preciado-Babb, Armando Paulino; Metz, Martina; Marcotte, Chenoa

    2015-01-01

    This paper explores the learning of both individuals and organizations within the context of a 3-year professional development program for mathematics and science teachers in a middle school. We propose to extend the notion of awareness from individuals to autonomous systems as a means to study the learning of teachers, mentors, the school, and…

  18. Emotion-based learning systems and the development of morality.

    PubMed

    Blair, R J R

    2017-10-01

    In this paper it is proposed that important components of moral development and moral judgment rely on two forms of emotional learning: stimulus-reinforcement and response-outcome learning. Data in support of this position will be primarily drawn from work with individuals with the developmental condition of psychopathy as well as fMRI studies with healthy individuals. Individuals with psychopathy show impairment on moral judgment tasks and a pronounced increased risk for instrumental antisocial behavior. It will be argued that these impairments are developmental consequences of impaired stimulus-aversive conditioning on the basis of distress cue reinforcers and response-outcome learning in individuals with this disorder. Copyright © 2017. Published by Elsevier B.V.

  19. Online Self-Organizing Social Systems: The Decentralized Future of Online Learning.

    ERIC Educational Resources Information Center

    Wiley, David A.; Edwards, Erin K.

    2002-01-01

    Describes an online self-organizing social system (OSOSS) which allows large numbers of individuals to self-organize in a highly decentralized manner to solve problems and accomplish other goals. Topics include scalability and bandwidth in online learning; self-organization; learning objects; instructional design underlying OSOSS, including…

  20. Adaptive versus Learner Control in a Multiple Intelligence Learning Environment

    ERIC Educational Resources Information Center

    Kelly, Declan

    2008-01-01

    Within the field of technology enhanced learning, adaptive educational systems offer an advanced form of learning environment that attempts to meet the needs of different students. Such systems capture and represent, for each student, various characteristics such as knowledge and traits in an individual learner model. Subsequently, using the…

  1. TEx-Sys Model for Building Intelligent Tutoring Systems

    ERIC Educational Resources Information Center

    Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani

    2008-01-01

    Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…

  2. Can E-Learning System Enhance Learning Culture in the Workplace? A Comparison among Companies in South Korea

    ERIC Educational Resources Information Center

    Yoo, Sun Joo; Huang, Wenhao David

    2016-01-01

    How organizations need to act in order to develop their learning capacities has always been a focal interest of research and practice in the workplace. In practice, an e-learning system is often utilized to foster professional development as it is capable of delivering information and knowledge to individuals across organizations. However, the…

  3. Aberrant Learning Achievement Detection Based on Person-Fit Statistics in Personalized e-Learning Systems

    ERIC Educational Resources Information Center

    Liu, Ming-Tsung; Yu, Pao-Ta

    2011-01-01

    A personalized e-learning service provides learning content to fit learners' individual differences. Learning achievements are influenced by cognitive as well as non-cognitive factors such as mood, motivation, interest, and personal styles. This paper proposes the Learning Caution Indexes (LCI) to detect aberrant learning patterns. The philosophy…

  4. System Thinking Scales and Learning Environment of Family Planning Field Workers in East Java, Indonesia

    ERIC Educational Resources Information Center

    Listyawardani, Dwi; Hariastuti, Iswari

    2016-01-01

    Systems thinking is needed due to the growing complexity of the problems faced family planning field workers in the external environment that is constantly changing. System thinking ability could not be separated from efforts to develop learning for the workers, both learning at the individual, group, or organization level. The design of the study…

  5. Empirical Validation of the Importance of Employees' Learning Motivation for Workplace E-Learning in Taiwanese Organisations

    ERIC Educational Resources Information Center

    Chen, Hsiu-Ju; Kao, Chia-Hung

    2012-01-01

    E-learning systems, adopted by organisations for employee training to enhance employees' performance, are characterised by self-directed, autonomous learning. Learning motivation is then of importance in the design of e-learning practices in workplace. However, empirical study of the alignment of e-learning with individual learning needs and…

  6. Developing the OBTL Curriculum with Blended Learning to Enhance Student Learning Effectiveness in the Undergraduate ECE Program

    ERIC Educational Resources Information Center

    Leung, Chi-hung

    2012-01-01

    Background: The project included continuous assessment, group presentation, self-learning, and individual assignment to assess students' learning outcomes. A self-learning system was set up as e-learning for students to monitor their learning progress during the semester, including two online exercises and a checklist of learning outcomes. The…

  7. Hybrid Multiagent System for Automatic Object Learning Classification

    NASA Astrophysics Data System (ADS)

    Gil, Ana; de La Prieta, Fernando; López, Vivian F.

    The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories. This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives.

  8. [Anaesthetists learn--do institutions also learn? Importance of institutional learning and corporate culture in clinics].

    PubMed

    Schüpfer, G; Gfrörer, R; Schleppers, A

    2007-10-01

    In only a few contexts is the need for substantial learning more pronounced than in health care. For a health care provider, the ability to learn is essential in a changing environment. Although individual humans are programmed to learn naturally, organisations are not. Learning that is limited to individual professions and traditional approaches to continuing medical education is not sufficient to bring about substantial changes in the learning capacity of an institution. Also, organisational learning is an important issue for anaesthesia departments. Future success of an organisation often depends on new capabilities and competencies. Organisational learning is the capacity or processes within an organisation to maintain or improve performance based on experience. Learning is seen as a system-level phenomenon as it stays in the organisation regardless of the players involved. Experience from other industries shows that learning strategies tend to focus on single loop learning, with relatively little double loop learning and virtually no meta-learning or non-learning. The emphasis on team delivery of health care reinforces the need for team learning. Learning organisations make learning an intrinsic part of their organisations and are a place where people continually learn how to learn together. Organisational learning practice can help to improve existing skills and competencies and to change outdated assumptions, procedures and structures. So far, learning theory has been ignored in medicine, due to a wide variety of complex political, economic, social, organisational culture and medical factors that prevent innovation and resist change. The organisational culture is central to every stage of the learning process. Learning organisations move beyond simple employee training into organisational problem solving, innovation and learning. Therefore, teamwork and leadership are necessary. Successful organisations change the competencies of individuals, the systems, the organisation, the strategy and the culture.

  9. Enabling Student Learning. Systems and Strategies. Staff and Educational Development Series.

    ERIC Educational Resources Information Center

    Wisker, Gina, Ed.; Brown, Sally, Ed.

    The 16 chapters of this book explore, from a British perspective, a range of strategies, both institutional and individual, developed to foster an environment conducive to learning for university students. Section 1 concentrates on systems and structures to assist student learning while Section 2 offers applications at both the undergraduate and…

  10. Learning Transfer--Validation of the Learning Transfer System Inventory in Portugal

    ERIC Educational Resources Information Center

    Velada, Raquel; Caetano, Antonio; Bates, Reid; Holton, Ed

    2009-01-01

    Purpose: The purpose of this paper is to analyze the construct validity of learning transfer system inventory (LTSI) for use in Portugal. Furthermore, it also aims to analyze whether LTSI dimensions differ across individual variables such as gender, age, educational level and job tenure. Design/methodology/approach: After a rigorous translation…

  11. Embedding Mixed-Reality Laboratories into E-Learning Systems for Engineering Education

    ERIC Educational Resources Information Center

    Al-Tikriti, Munther N.; Al-Aubidy, Kasim M.

    2013-01-01

    E-learning, virtual learning and mixed reality techniques are now a global integral part of the academic and educational systems. They provide easier access to educational opportunities to a very wide spectrum of individuals to pursue their educational and qualification objectives. These modern techniques have the potentials to improve the quality…

  12. Designing Interactive Learning Systems.

    ERIC Educational Resources Information Center

    Barker, Philip

    1990-01-01

    Describes multimedia, computer-based interactive learning systems that support various forms of individualized study. Highlights include design models; user interfaces; design guidelines; media utilization paradigms, including hypermedia and learner-controlled models; metaphors and myths; authoring tools; optical media; workstations; four case…

  13. Patient-Centered Precision Health In A Learning Health Care System: Geisinger's Genomic Medicine Experience.

    PubMed

    Williams, Marc S; Buchanan, Adam H; Davis, F Daniel; Faucett, W Andrew; Hallquist, Miranda L G; Leader, Joseph B; Martin, Christa L; McCormick, Cara Z; Meyer, Michelle N; Murray, Michael F; Rahm, Alanna K; Schwartz, Marci L B; Sturm, Amy C; Wagner, Jennifer K; Williams, Janet L; Willard, Huntington F; Ledbetter, David H

    2018-05-01

    Health care delivery is increasingly influenced by the emerging concepts of precision health and the learning health care system. Although not synonymous with precision health, genomics is a key enabler of individualized care. Delivering patient-centered, genomics-informed care based on individual-level data in the current national landscape of health care delivery is a daunting challenge. Problems to overcome include data generation, analysis, storage, and transfer; knowledge management and representation for patients and providers at the point of care; process management; and outcomes definition, collection, and analysis. Development, testing, and implementation of a genomics-informed program requires multidisciplinary collaboration and building the concepts of precision health into a multilevel implementation framework. Using the principles of a learning health care system provides a promising solution. This article describes the implementation of population-based genomic medicine in an integrated learning health care system-a working example of a precision health program.

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

    ERIC Educational Resources Information Center

    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…

  15. Learning in a Different Era: "Do Our Education Systems Do Enough to Enable Learners to Flourish as Independent, Autonomous and Well-Balanced Individuals?"

    ERIC Educational Resources Information Center

    Cheng, Kai-ming

    2015-01-01

    There is a prime necessity to make a distinction between "education" and "learning." Learning is a human instinct. Education is not. Education is about learning processes designed by adults for the young. In the past two centuries in the industrial era, education has developed into society-wide "school" systems. Young…

  16. A Pirate's Life: A Model and a Metaphor for Learning.

    ERIC Educational Resources Information Center

    Solomon, David L.

    2002-01-01

    Discusses various ways in which context may be interpreted to enhance learning and performance; illustrates domains of learning using a hockey team as an example; and suggests implications for learning, performance, and instructional design. Highlights include an ecological systems model; and examples of individual development, team learning, and…

  17. Using Mixed-Modality Vocabulary Learning on Mobile Devices: Design and Evaluation

    ERIC Educational Resources Information Center

    Ou-Yang, Fang Chuan; Wu, Wen-Chi Vivian

    2017-01-01

    To achieve better adaptive learning for mobile-assisted language learning (MALL), individual prior knowledge proficiency, perceptual learning style, and learning behavior should all be considered in system development. While reviewing the existing literature about MALL research, the researchers of this study found very few recent studies exploring…

  18. A Study of the Design and Implementation of the ASR-Based iCASL System with Corrective Feedback to Facilitate English Learning

    ERIC Educational Resources Information Center

    Wang, Yi-Hsuan; Young, Shelley Shwu-Ching

    2014-01-01

    The purpose of the study is to explore and describe how to implement a pedagogical ASR-based intelligent computer-assisted speaking learning (iCASL) system to support adult learners with a private, flexible and individual learning environment to practice English pronunciation. The iCASL system integrates multiple levels of corrective feedback and…

  19. Lifelong Learning as Transitional Learning

    ERIC Educational Resources Information Center

    Glastra, Folke J.; Hake, Barry J.; Schedler, Petra E.

    2004-01-01

    Globalization and individualization have radically changed both the economic system and the personal life world in industrial or postindustrial nation-states. To survive hypercompetition and volatile consumer choice, learning organizations and a workforce engaged in lifelong learning are needed. Constructing "the good life" has become an…

  20. An Infrastructure for Web-Based Computer Assisted Learning

    ERIC Educational Resources Information Center

    Joy, Mike; Muzykantskii, Boris; Rawles, Simon; Evans, Michael

    2002-01-01

    We describe an initiative under way at Warwick to provide a technical foundation for computer aided learning and computer-assisted assessment tools, which allows a rich dialogue sensitive to individual students' response patterns. The system distinguishes between dialogues for individual problems and the linking of problems. This enables a subject…

  1. 75 FR 6362 - Privacy Act of 1974; System of Records

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-09

    ..., Department of Defense. NM01500-9 SYSTEM NAME: Integrated Learning Environment (ILE) Classes (September 19... personal identifier number assigned to individual, pay plan/grade, rank, occupation, Unit Identification... register to take classes offered under Navy eLearning.'' AUTHORITY FOR MAINTENANCE OF THE SYSTEM: Delete...

  2. A Solution-Based Intelligent Tutoring System Integrated with an Online Game-Based Formative Assessment: Development and Evaluation

    ERIC Educational Resources Information Center

    Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Abdollahi, Abbas; Horng, Shi-Jinn; Lim, Heuiseok

    2016-01-01

    Nowadays, intelligent tutoring systems are considered an effective research tool for learning systems and problem-solving skill improvement. Nonetheless, such individualized systems may cause students to lose learning motivation when interaction and timely guidance are lacking. In order to address this problem, a solution-based intelligent…

  3. Learning in networks: individual teacher learning versus organizational learning in a regional health-promoting schools network.

    PubMed

    Flaschberger, Edith; Gugglberger, Lisa; Dietscher, Christina

    2013-12-01

    To change a school into a health-promoting organization, organizational learning is required. The evaluation of an Austrian regional health-promoting schools network provides qualitative data on the views of the different stakeholders on learning in this network (steering group, network coordinator and representatives of the network schools; n = 26). Through thematic analysis and deep-structure analyses, the following three forms of learning in the network were identified: (A) individual learning through input offered by the network coordination, (B) individual learning between the network schools, i.e. through exchange between the representatives of different schools and (C) learning within the participating schools, i.e. organizational learning. Learning between (B) or within the participating schools (C) seems to be rare in the network; concepts of individual teacher learning are prevalent. Difficulties detected relating to the transfer of information from the network to the member schools included barriers to organizational learning such as the lack of collaboration, coordination and communication in the network schools, which might be effects of the school system in which the observed network is located. To ensure connectivity of the information offered by the network, more emphasis should be put on linking health promotion to school development and the core processes of schools.

  4. Emotional learning and the development of differential moralities: implications from research on psychopathy.

    PubMed

    Blair, R James R; White, Stuart F; Meffert, Harma; Hwang, Soonjo

    2013-09-01

    In this paper, we will argue that (1) four classes of norm can be distinguished from a neuro-cognitive perspective; (2) learning the prohibitive power of these norms relies on relatively independent emotional systems; (3) individuals with psychopathy show selective impairment for one of these emotional learning systems and two classes of norm: care based and justice based; and (4) while emotional learning systems are necessary for appropriate moral development/reasoning, they are not sufficient for moral development/reasoning.

  5. Using Knowledge-Based Systems to Support Learning of Organizational Knowledge: A Case Study

    NASA Technical Reports Server (NTRS)

    Cooper, Lynne P.; Nash, Rebecca L.; Phan, Tu-Anh T.; Bailey, Teresa R.

    2003-01-01

    This paper describes the deployment of a knowledge system to support learning of organizational knowledge at the Jet Propulsion Laboratory (JPL), a US national research laboratory whose mission is planetary exploration and to 'do what no one has done before.' Data collected over 19 weeks of operation were used to assess system performance with respect to design considerations, participation, effectiveness of communication mechanisms, and individual-based learning. These results are discussed in the context of organizational learning research and implications for practice.

  6. Advancing a Complex Systems Approach to Personalized Learning Communities: Bandwidth, Sightlines, and Teacher Generativity

    ERIC Educational Resources Information Center

    Hamilton, Eric

    2015-01-01

    Educational technologies have advanced one of the most important visions of educational reformers, to customize formal and informal learning to individuals. The application of a complex systems framework to the design of learning ecologies suggests that each of a series of ten desirable and malleable features stimulates or propels the other ten,…

  7. Introduction to the MCS. Visual Media Learning Guide.

    ERIC Educational Resources Information Center

    Spokane Falls Community Coll., WA.

    This student learning guide is designed to introduce graphics arts students t the MCS (Modular Composition System) compugraphic typesetting system. Addressed in the individual units of the competency-based guide are the following tasks: programming the compugraphic typesetting system, creating a new file and editing a file, operating a…

  8. An Expert System-based Context-Aware Ubiquitous Learning Approach for Conducting Science Learning Activities

    ERIC Educational Resources Information Center

    Wu, Po-Han; Hwang, Gwo-Jen; Tsai, Wen-Hung

    2013-01-01

    Context-aware ubiquitous learning has been recognized as being a promising approach that enables students to interact with real-world learning targets with supports from the digital world. Several researchers have indicated the importance of providing learning guidance or hints to individual students during the context-aware ubiquitous learning…

  9. Towards Individualized Online Learning: The Design and Development of an Adaptive Web Based Learning Environment

    ERIC Educational Resources Information Center

    Inan, Fethi A.; Flores, Raymond; Ari, Fatih; Arslan-Ari, Ismahan

    2011-01-01

    The purpose of this study was to document the design and development of an adaptive system which individualizes instruction such as content, interfaces, instructional strategies, and resources dependent on two factors, namely student motivation and prior knowledge levels. Combining adaptive hypermedia methods with strategies proposed by…

  10. Executive Function Is Associated With Off-Line Motor Learning in People With Chronic Stroke.

    PubMed

    Al-Dughmi, Mayis; Al-Sharman, Alham; Stevens, Suzanne; Siengsukon, Catherine F

    2017-04-01

    Sleep has been shown to promote off-line motor learning in individuals following stroke. Executive function ability has been shown to be a predictor of participation in rehabilitation and motor recovery following stroke. The purpose of this study was to explore the association between executive function and off-line motor learning in individuals with chronic stroke compared with healthy control participants. Seventeen individuals with chronic stroke (>6 months poststroke) and 9 healthy adults were included in the study. Participants underwent 3 consecutive nights of polysomnography, practiced a continuous tracking task the morning of the third day, and underwent a retention test the morning after the third night. Participants underwent testing on 4 executive function tests after the continuous tracking task retention test. Participants with stroke showed a significant positive correlation between the off-line motor learning score and performance on the Trail-Making Test from Delis-Kaplan Executive Function System (r = 0.652; P = 0.005), while the healthy control participants did not. Regression analysis showed that the Trail-Making Test-Delis-Kaplan Executive Function System is a significant predictor of off-line motor learning (P = 0.008). This is the first study to demonstrate that better performance on an executive function test of attention and set-shifting predicts a higher magnitude of off-line motor learning in individuals with chronic stroke. This emphasizes the need to consider attention and set-shifting abilities of individuals following stroke as these abilities are associated with motor learning. This in turn could affect learning of activities of daily living and impact functional recovery following stroke.Video Abstract available for more insights from the authors (see Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A166).

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

    NASA Astrophysics Data System (ADS)

    Liao, Peiwen; Yu, Chien; Yi, Chincheh

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

  12. Achieving enlightenment: what do we know about the implicit learning system and its interaction with explicit knowledge?

    PubMed

    Vidoni, Eric D; Boyd, Lara A

    2007-09-01

    Two major memory and learning systems operate in the brain: one for facts and ideas (ie, the declarative or explicit system), one for habits and behaviors (ie, the procedural or implicit system). Broadly speaking these two memory systems can operate either in concert or entirely independently of one another during the performance and learning of skilled motor behaviors. This Special Issue article has two parts. In the first, we present a review of implicit motor skill learning that is largely centered on the interactions between declarative and procedural learning and memory. Because distinct neuroanatomical substrates support unique aspects of learning and memory and thus focal injury can cause impairments that are dependent on lesion location, we also broadly consider which brain regions mediate implicit and explicit learning and memory. In the second part of this article, the interactive nature of these two memory systems is illustrated by the presentation of new data that reveal that both learning implicitly and acquiring explicit knowledge through physical practice lead to motor sequence learning. In our new data, we discovered that for healthy individuals use of the implicit versus explicit memory system differently affected variability of performance during acquisition practice; variability was higher early in practice for the implicit group and later in practice for the acquired explicit group. Despite the difference in performance variability, by retention both groups demonstrated comparable change in tracking accuracy and thus, motor sequence learning. Clinicians should be aware of the potential effects of implicit and explicit interactions when designing rehabilitation interventions, particularly when delivering explicit instructions before task practice, working with individuals with focal brain damage, and/or adjusting therapeutic parameters based on acquisition performance variability.

  13. E-learning environment as intelligent tutoring system

    NASA Astrophysics Data System (ADS)

    Nagyová, Ingrid

    2017-07-01

    The development of computers and artificial intelligence theory allow their application in the field of education. Intelligent tutoring systems reflect student learning styles and adapt the curriculum according to their individual needs. The building of intelligent tutoring systems requires not only the creation of suitable software, but especially the search and application of the rules enabling ICT to individually adapt the curriculum. The main idea of this paper is to attempt to specify the rules for dividing the students to systematically working students and more practically or pragmatically inclined students. The paper shows that monitoring the work of students in e-learning environment, analysis of various approaches to educational materials and correspondence assignments show different results for the defined groups of students.

  14. Virginia Improves Teaching and Learning (VITAL): A Comprehensive Statewide Data System for Teacher Quality

    ERIC Educational Resources Information Center

    McLaughlin, Virginia L.; Ward, Thomas J.; Massa, Tod R.

    2008-01-01

    This article describes the development of Virginia Improves Teaching and Learning (VITAL) as a statewide data warehouse focused on teacher education. The VITAL system is a longitudinal data system that tracks individuals from their entry into teacher preparation programs to employment in public schools. The system goes far beyond typical…

  15. Evolving from Course-Centric to Learning-Centric: Portfolios, Wikis, and Social Learning

    ERIC Educational Resources Information Center

    Everhart, Deborah

    2006-01-01

    Teaching and learning strategies for using course management systems have evolved from basic "fill in the blank" models to interactive designs that encourage multi-formatted individual contributions and collaborative forms of learning. In keeping with the participatory development of online resources, web-based courses are shifting from…

  16. Predicting Student Performance in a Collaborative Learning Environment

    ERIC Educational Resources Information Center

    Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol

    2015-01-01

    Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

  17. 44 CFR 6.86 - General exemptions.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... system of records would give individuals an opportunity to learn whether they are of record either as... being conducted, (C) to learn the nature of the investigation to which they are being subjected, (D) to learn the type of surveillance being utilized, (E) to learn whether they are only suspects or identified...

  18. 44 CFR 6.86 - General exemptions.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... system of records would give individuals an opportunity to learn whether they are of record either as... being conducted, (C) to learn the nature of the investigation to which they are being subjected, (D) to learn the type of surveillance being utilized, (E) to learn whether they are only suspects or identified...

  19. Learning in Strategic Alliances: A Vygotskian Perspective

    ERIC Educational Resources Information Center

    Ghosh, Abhijit

    2004-01-01

    Although organizational learning occurs through individuals, it would be a mistake to conclude that organizational learning is nothing but the cumulative result of their members' learning. Organizations do not have brains, but they have cognitive systems and memories. A device cited in this literature as an important tool for organizational…

  20. Using Eye Tracking to Investigate First Year Students' Digital Proficiency and Their Use of a Learning Management System in an Open Distance Environment

    ERIC Educational Resources Information Center

    Mabila, Jabulisiwe; Gelderblom, Helene; Ssemugabi, Samuel

    2014-01-01

    The internet gives individuals access to learning through online technologies. The prolific use of Learning Management Systems (LMSs) in higher education institutions makes Information and Communication Technology (ICT) skills or e-skills very important. ICT skill levels have been positively related to students' effectiveness and efficiency in…

  1. Individualized Teaching and Autonomous Learning: Developing EFL Learners' CLA in a Web-Based Language Skills Training System

    ERIC Educational Resources Information Center

    Lu, Zhihong; Wen, Fuan; Li, Ping

    2012-01-01

    Teaching listening and speaking in English in China has been given top priority on the post-secondary level. This has lead to the question of how learners develop communicative language ability (CLA) effectively in computer-assisted language learning (CALL) environments. The authors demonstrate a self-developed language skill learning system with…

  2. How States Use Student Learning Objectives in Teacher Evaluation Systems: A Review of State Websites. REL 2014-013

    ERIC Educational Resources Information Center

    Lacireno-Paquet, Natalie; Morgan, Claire; Mello, Daniel

    2014-01-01

    Motivated by the need to improve teaching and learning and by federal priorities reflected in requirements for grant programs such as Race to the Top and the Teacher Incentive Fund, many states are developing teacher evaluation systems that include measures of individual teachers' contributions to their students' learning growth. One way to…

  3. How States Use Student Learning Objectives in Teacher Evaluation Systems: A Review of State Websites. Summary. REL 2014-013

    ERIC Educational Resources Information Center

    Lacireno-Paquet, Natalie; Morgan, Claire; Mello, Daniel

    2014-01-01

    Motivated by the need to improve teaching and learning and by federal priorities reflected in requirements for grant programs such as Race to the Top and the Teacher Incentive Fund, many states are developing teacher evaluation systems that include measures of individual teachers' contributions to their students' learning growth. One way to…

  4. Influence of an Integrated Learning Diagnosis and Formative Assessment-Based Personalized Web Learning Approach on Students' Learning Performances and Perceptions

    ERIC Educational Resources Information Center

    Wongwatkit, Charoenchai; Srisawasdi, Niwat; Hwang, Gwo-Jen; Panjaburee, Patcharin

    2017-01-01

    The advancement of computer and communication technologies has enabled students to learn across various real-world contexts with supports from the learning system. In the meantime, researchers have emphasized the necessity of providing personalized learning guidance or support by considering individual students' status and needs in order to…

  5. Mammalian social odours: attraction and individual recognition

    PubMed Central

    Brennan, Peter A; Kendrick, Keith M

    2006-01-01

    Mammalian social systems rely on signals passed between individuals conveying information including sex, reproductive status, individual identity, ownership, competitive ability and health status. Many of these signals take the form of complex mixtures of molecules sensed by chemosensory systems and have important influences on a variety of behaviours that are vital for reproductive success, such as parent–offspring attachment, mate choice and territorial marking. This article aims to review the nature of these chemosensory cues and the neural pathways mediating their physiological and behavioural effects. Despite the complexities of mammalian societies, there are instances where single molecules can act as classical pheromones attracting interest and approach behaviour. Chemosignals with relatively high volatility can be used to signal at a distance and are sensed by the main olfactory system. Most mammals also possess a vomeronasal system, which is specialized to detect relatively non-volatile chemosensory cues following direct contact. Single attractant molecules are sensed by highly specific receptors using a labelled line pathway. These act alongside more complex mixtures of signals that are required to signal individual identity. There are multiple sources of such individuality chemosignals, based on the highly polymorphic genes of the major histocompatibility complex (MHC) or lipocalins such as the mouse major urinary proteins. The individual profile of volatile components that make up an individual odour signature can be sensed by the main olfactory system, as the pattern of activity across an array of broadly tuned receptor types. In addition, the vomeronasal system can respond highly selectively to non-volatile peptide ligands associated with the MHC, acting at the V2r class of vomeronasal receptor. The ability to recognize individuals or their genetic relatedness plays an important role in mammalian social behaviour. Thus robust systems for olfactory learning and recognition of chemosensory individuality have evolved, often associated with major life events, such as mating, parturition or neonatal development. These forms of learning share common features, such as increased noradrenaline evoked by somatosensory stimulation, which results in neural changes at the level of the olfactory bulb. In the main olfactory bulb, these changes are likely to refine the pattern of activity in response to the learned odour, enhancing its discrimination from those of similar odours. In the accessory olfactory bulb, memory formation is hypothesized to involve a selective inhibition, which disrupts the transmission of the learned chemosignal from the mating male. Information from the main olfactory and vomeronasal systems is integrated at the level of the corticomedial amygdala, which forms the most important pathway by which social odours mediate their behavioural and physiological effects. Recent evidence suggests that this region may also play an important role in the learning and recognition of social chemosignals. PMID:17118924

  6. Interactions Among Working Memory, Reinforcement Learning, and Effort in Value-Based Choice: A New Paradigm and Selective Deficits in Schizophrenia.

    PubMed

    Collins, Anne G E; Albrecht, Matthew A; Waltz, James A; Gold, James M; Frank, Michael J

    2017-09-15

    When studying learning, researchers directly observe only the participants' choices, which are often assumed to arise from a unitary learning process. However, a number of separable systems, such as working memory (WM) and reinforcement learning (RL), contribute simultaneously to human learning. Identifying each system's contributions is essential for mapping the neural substrates contributing in parallel to behavior; computational modeling can help to design tasks that allow such a separable identification of processes and infer their contributions in individuals. We present a new experimental protocol that separately identifies the contributions of RL and WM to learning, is sensitive to parametric variations in both, and allows us to investigate whether the processes interact. In experiments 1 and 2, we tested this protocol with healthy young adults (n = 29 and n = 52, respectively). In experiment 3, we used it to investigate learning deficits in medicated individuals with schizophrenia (n = 49 patients, n = 32 control subjects). Experiments 1 and 2 established WM and RL contributions to learning, as evidenced by parametric modulations of choice by load and delay and reward history, respectively. They also showed interactions between WM and RL, where RL was enhanced under high WM load. Moreover, we observed a cost of mental effort when controlling for reinforcement history: participants preferred stimuli they encountered under low WM load. Experiment 3 revealed selective deficits in WM contributions and preserved RL value learning in individuals with schizophrenia compared with control subjects. Computational approaches allow us to disentangle contributions of multiple systems to learning and, consequently, to further our understanding of psychiatric diseases. Copyright © 2017 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

  7. E-Learning System for Experiments Involving Construction of Practical Electronic Circuits

    ERIC Educational Resources Information Center

    Takemura, Atsushi

    2013-01-01

    This paper proposes a novel e-learning system for technical experiments involving the construction of practical electronic circuits; this system would meet the various demands of individual experimenters. This mixed mode is beneficial for practical use in that an experimenter who does not have sufficient circuit components for circuit making can…

  8. The Relationship between National Culture and the Usability of an E-Learning System

    ERIC Educational Resources Information Center

    Downey, Steve; Wentling, Rose Mary; Wentling, Tim; Wadsworth, Andrew

    2004-01-01

    This study sought to measure the relationship between national culture and the usability of an e-Learning system by using Hofstede's cultural dimensions and Nielson's usability attributes. The study revealed that high uncertainty avoidance cultures found the system more frustrating to use. The study also revealed that individuals from cultures…

  9. Comparison of Computer-Based Versus Counselor-Based Occupational Information Systems with Disadvantaged Vocational Students

    ERIC Educational Resources Information Center

    Maola, Joseph; Kane, Gary

    1976-01-01

    Subjects, who were Occupational Work Experience students, were randomly assigned to individual guidance from either a computerized occupational information system, to a counselor-based information system or to a control group. Results demonstrate a hierarchical learning effect: The computer group learned more than the counseled group, which…

  10. Mountain Plains Learning Experience Guide: Automotive Repair. Course: Emission Systems.

    ERIC Educational Resources Information Center

    Schramm, C.; Osland, Walt

    One of twelve individualized courses included in an automotive repair curriculum, this course covers the theory, testing, and servicing of automotive emission control systems. The course is comprised of one unit, Fundamentals of Emission Systems. The unit begins with a Unit Learning Experience Guide that gives directions for unit completion. The…

  11. An e-Learning System with MR for Experiments Involving Circuit Construction to Control a Robot

    ERIC Educational Resources Information Center

    Takemura, Atsushi

    2016-01-01

    This paper proposes a novel e-Learning system for technological experiments involving electronic circuit-construction and controlling robot motion that are necessary in the field of technology. The proposed system performs automated recognition of circuit images transmitted from individual learners and automatically supplies the learner with…

  12. Individual response technology to promote active learning within the caring sciences: An experimental research study.

    PubMed

    Hedén, Lena; Ahlstrom, Linda

    2016-01-01

    One major challenge in delivering lectures to large and diverse classes is the maintenance of a high standard of lecturing in order to engage students and increase their participation and involvement. The lecturer's assignment is to arrange and prepare the lecture before teaching, hence enabling students' enhanced learning. Individual response technology could encourage students' active learning and activate higher cognitive levels. The aim of this study was to evaluate individual response technology as a complement during lectures for students in higher education, in terms of the students' experiences of participation, engagement, and active learning. Also of interest was whether this technology can be considered a supportive technical system. Data were collected through a questionnaire where levels of each condition were reported on a numeric rating scale (0-10) at baseline and after the introduction of individual response technology. To get a broader perspective, two types of lectures (pediatric and statistical) were included, giving a total of four assessment times. The participants comprised 59 students in Bachelor of Nursing program at a Swedish metropolitan university. Overall, when individual response technology was used, students reported increased experience of engagement (n=82, mean 6.1 vs. n=65, mean 7.3, p<0.001), participation (n=92, mean 6.1 vs. n=79, mean 7.7, p<0.001), and active learning (n=92, mean 7.3 vs. n=79, mean 8.2 p<0.001). Additionally, the students experienced this technology as a supportive technical system during lectures (mean 6.6 vs. mean 8.1, p<0.001). The use of individual response technology during teaching is one way to enhance students' experiences of engagement, participation, and learning within the caring sciences. Copyright © 2015 Elsevier Ltd. All rights reserved.

  13. Meta-Assessment in a Project-Based Systems Engineering Course

    ERIC Educational Resources Information Center

    Wengrowicz, Niva; Dori, Yehudit Judy; Dori, Dov

    2017-01-01

    Project-based learning (PBL) facilitates significant learning, but it poses a major assessment challenge for assessing individual content knowledge. We developed and implemented an assessment approach and tool for a mandatory undergraduate systems engineering PBL-based course. We call this type of assessment "student-oriented"…

  14. 34 CFR 464.3 - What kinds of activities may be assisted?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... literacy instructors in reading instruction and in— (i) Selecting and making the most effective use of... instruction; (B) Video tapes; (C) Interactive systems; and (D) Data link systems; or (ii) Assessing learning style, screening for learning disabilities, and providing individualized remedial reading instruction...

  15. 34 CFR 464.3 - What kinds of activities may be assisted?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... literacy instructors in reading instruction and in— (i) Selecting and making the most effective use of... instruction; (B) Video tapes; (C) Interactive systems; and (D) Data link systems; or (ii) Assessing learning style, screening for learning disabilities, and providing individualized remedial reading instruction...

  16. 34 CFR 464.3 - What kinds of activities may be assisted?

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... literacy instructors in reading instruction and in— (i) Selecting and making the most effective use of... instruction; (B) Video tapes; (C) Interactive systems; and (D) Data link systems; or (ii) Assessing learning style, screening for learning disabilities, and providing individualized remedial reading instruction...

  17. 34 CFR 464.3 - What kinds of activities may be assisted?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... literacy instructors in reading instruction and in— (i) Selecting and making the most effective use of... instruction; (B) Video tapes; (C) Interactive systems; and (D) Data link systems; or (ii) Assessing learning style, screening for learning disabilities, and providing individualized remedial reading instruction...

  18. Using Taxonomic Indexing Trees to Efficiently Retrieve SCORM-Compliant Documents in e-Learning Grids

    ERIC Educational Resources Information Center

    Shih, Wen-Chung; Tseng, Shian-Shyong; Yang, Chao-Tung

    2008-01-01

    With the flourishing development of e-Learning, more and more SCORM-compliant teaching materials are developed by institutes and individuals in different sites. In addition, the e-Learning grid is emerging as an infrastructure to enhance traditional e-Learning systems. Therefore, information retrieval schemes supporting SCORM-compliant documents…

  19. How to Personalize Learning in K-12 Schools: Five Essential Design Features

    ERIC Educational Resources Information Center

    Lee, Dabae

    2014-01-01

    Personalized learning (PL) is spotlighted as a way to transform K-12 educational systems. PL customizes learning pace, instructional methods, and learning content to individual students. As much as PL sounds promising and complex, little guidance is available to educators and policymakers about how to effectively design PL. Five essential features…

  20. How Can Organisations Learn: An Information Systems Development Perspective

    ERIC Educational Resources Information Center

    Baxter, Gavin J.; Connolly, Thomas M.; Stansfield, Mark

    2009-01-01

    This article sets out to argue that organisations can learn but that they cannot do so in their own right without infrastructural support. This article further examines the notion that individuals in organisations also require the cognitive participation of the organisation itself as a learning entity to learn. The close reliance and affiliation…

  1. Detecting Learning Style through Biometric Technology for Mobile GBL

    ERIC Educational Resources Information Center

    Mehigan, Tracey J.; Pitt, Ian

    2012-01-01

    Adaptive learning systems tailor content delivery to meet specific needs of the individual for improved learning-outcomes. Learning-styles and personalities are usually determined through the completion of questionnaires. There are a number of models available for this purpose including the Myer-Briggs Model (MBTI), the Big Five Model, and the…

  2. The emergence of coordination in public good games

    NASA Astrophysics Data System (ADS)

    Hichri, W.; Kirman, A.

    2007-01-01

    In physical models it is well understood that the aggregate behaviour of a system is not in one to one correspondence with the behaviour of the average individual element of that system. Yet, in many economic models the behaviour of aggregates is thought of as corresponding to that of an individual. A typical example is that of public goods experiments. A systematic feature of such experiments is that, with repetition, people contribute less to public goods. A typical explanation is that people “learn to play Nash” or something approaching it. To justify such an explanation, an individual learning model is tested on average or aggregate data. In this paper we will examine this idea by analysing average and individual behaviour in a series of public goods experiments. We analyse data from a series of games of contributions to public goods and as is usual, we test a learning model on the average data. We then look at individual data, examine the changes that this produces and see if some general model such as the EWA (Expected Weighted Attraction) with varying parameters can account for individual behaviour. We find that once we disaggregate data such models have poor explanatory power. Groups do not learn as supposed, their behaviour differs markedly from one group to another, and the behaviour of the individuals who make up the groups also varies within groups. The decline in aggregate contributions cannot be explained by resorting to a uniform model of individual behaviour. However, the Nash equilibrium of such a game is a total payment for all the individuals and there is some convergence of the group in this respect. Yet the individual contributions do not converge. How the individuals “self-organsise” to coordinate, even in this limited way remains to be explained.

  3. Faculty Technology Usage Resulting from Institutional Migration to a New Learning Management System

    ERIC Educational Resources Information Center

    Rucker, Ryan; Downey, Steve

    2016-01-01

    Research literature is flush with articles discussing how teachers use individual learning management systems. However, very few studies examine how faculty are affected as they move from one platform to another. This study addresses that gap and examines how faculty adapt their online teaching practices as they migrate systems. In doing so,…

  4. The Impact of Student Response Systems on the Learning Experience of Undergraduate Psychology Students

    ERIC Educational Resources Information Center

    Walklet, Elaine; Davis, Sarah; Farrelly, Daniel; Muse, Kate

    2016-01-01

    Student response systems (SRS) are hand-held devices or mobile phone polling systems which collate real-time, individual responses to on-screen questions. Previous research examining their role in higher education has highlighted both advantages and disadvantages of their use. This paper explores how different SRS influence the learning experience…

  5. Young Children's Learning of Water Physics by Constructing Working Systems

    ERIC Educational Resources Information Center

    Levy, Sharona T.

    2013-01-01

    The present study explored young 5-6-year old children's design-based learning of science through building working physical systems and examined their evolving conceptions of water flow. Fifteen children in an experimental group individually built water-pipe systems during four sessions that included end-of-session interviews. In addition,…

  6. Proposing a Web-Based Tutorial System to Teach Malay Language Braille Code to the Sighted

    ERIC Educational Resources Information Center

    Wah, Lee Lay; Keong, Foo Kok

    2010-01-01

    The "e-KodBrailleBM Tutorial System" is a web-based tutorial system which is specially designed to teach, facilitate and support the learning of Malay Language Braille Code to individuals who are sighted. The targeted group includes special education teachers, pre-service teachers, and parents. Learning Braille code involves memorisation…

  7. Functioning information in the learning health system.

    PubMed

    Stucki, Gerold; Bickenbach, Jerome

    2017-02-01

    In this methodological note on applying the ICF in rehabilitation, we introduce functioning information as fundamental for the "learning health system" and the continuous improvement of the health system's response to people's functioning needs by means of the provision of rehabilitation. A learning health system for rehabilitation operates at the micro-level of the individual patient, meso-level of operational management, and the macro-level of policy that guides rehabilitation programming. All three levels rely on the capacity of the informational system of the health system for standardized documentation and coding of functioning information, and the development of national rehabilitation quality management systems. This methodological note describes how functioning information is used for the continuous improvement of functioning outcomes in a learning health system across these three levels.

  8. Simulation in otolaryngology: smart dummies and more.

    PubMed

    Deutsch, Ellen S

    2011-12-01

    Simulation is revolutionizing medical education, certification, and ongoing professional development. Simulation encompasses a variety of technologies as well as nontechnical approaches to improve individual psychomotor skills, group effectiveness, and systems processes, all without direct risk to patients. Simulation-enhanced learning experiences, addressing learning objectives based on the needs of the individual or the group and following the principles of adult education, can be used to ensure consistent and comprehensive learning opportunities, thereby creatively complementing didactic and clinical learning experiences. Pockets of simulation expertise are already present in the field of otolaryngology; more will develop as these exciting and important innovations blossom.

  9. Individualized Special Education with Cognitive Skill Assessment.

    ERIC Educational Resources Information Center

    Kurhila, Jaakko; Laine, Tei

    2000-01-01

    Describes AHMED (Adaptive and Assistive Hypermedia in Education), a computer learning environment which supports the evaluation of disabled children's cognitive skills in addition to supporting openness in learning materials and adaptivity in learning events. Discusses cognitive modeling and compares it to previous intelligent tutoring systems.…

  10. Motivation as a Method of Controlling the Social Subject Self-Learning

    ERIC Educational Resources Information Center

    Isaev, Andrey V.; Kravets, Alla G.; Isaeva, Ludmila A.

    2014-01-01

    The paper substantiates inertial nature of the motivation system impact on the individual. Such exposure is a major shift from the level of motivational signs of external perception on the level of the individual internal motivation system. This approach justifies the ability to control the quality of the individual education as in the process of…

  11. Discovering the Power of Individual-Based Modelling in Teaching and Learning: The Study of a Predator-Prey System

    ERIC Educational Resources Information Center

    Ginovart, Marta

    2014-01-01

    The general aim is to promote the use of individual-based models (biological agent-based models) in teaching and learning contexts in life sciences and to make their progressive incorporation into academic curricula easier, complementing other existing modelling strategies more frequently used in the classroom. Modelling activities for the study…

  12. The Implementation of an Individualized Curriculum in Periodontology at the Temple University School of Dentistry.

    ERIC Educational Resources Information Center

    Salkin, Leslie M.; And Others

    An individualized, self-paced curriculum at Temple University Dental School is being used to break the lock-step pattern of the lecture-oriented system and to help students reach the clinical learning environment more quickly. Freshmen begin work in periodontology with 12 programed lessons studied in a Learning Resources Center open 75 hours a…

  13. What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated.

    PubMed

    Kumaran, Dharshan; Hassabis, Demis; McClelland, James L

    2016-07-01

    We update complementary learning systems (CLS) theory, which holds that intelligent agents must possess two learning systems, instantiated in mammalians in neocortex and hippocampus. The first gradually acquires structured knowledge representations while the second quickly learns the specifics of individual experiences. We broaden the role of replay of hippocampal memories in the theory, noting that replay allows goal-dependent weighting of experience statistics. We also address recent challenges to the theory and extend it by showing that recurrent activation of hippocampal traces can support some forms of generalization and that neocortical learning can be rapid for information that is consistent with known structure. Finally, we note the relevance of the theory to the design of artificial intelligent agents, highlighting connections between neuroscience and machine learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

  14. Exploring the Use of Individualized, Reflective Guidance In an Educational Multi-User Virtual Environment

    NASA Astrophysics Data System (ADS)

    Nelson, Brian C.

    2007-02-01

    This study examines the patterns of use and potential impact of individualized, reflective guidance in an educational Multi-User Virtual Environment (MUVE). A guidance system embedded within a MUVE-based scientific inquiry curriculum was implemented with a sample of middle school students in an exploratory study investigating (a) whether access to the guidance system was associated with improved learning, (b) whether students viewing more guidance messages saw greater improvement on content tests than those viewing less, and (c) whether there were any differences in guidance use among boys and girls. Initial experimental findings showed that basic access to individualized guidance used with a MUVE had no measurable impact on learning. However, post-hoc exploratory analyses indicated that increased use of the system among those with access to it was positively associated with content test score gains. In addition, differences were found in overall learning outcomes by gender and in patterns of guidance use by boys and girls, with girls outperforming boys across a spectrum of guidance system use. Based on these exploratory findings, the paper suggests design guidelines for the development of guidance systems embedded in MUVEs and outlines directions for further research.

  15. Modelling the Factors that Affect Individuals' Utilisation of Online Learning Systems: An Empirical Study Combining the Task Technology Fit Model with the Theory of Planned Behaviour

    ERIC Educational Resources Information Center

    Yu, Tai-Kuei; Yu, Tai-Yi

    2010-01-01

    Understanding learners' behaviour, perceptions and influence in terms of learner performance is crucial to predict the use of electronic learning systems. By integrating the task-technology fit (TTF) model and the theory of planned behaviour (TPB), this paper investigates the online learning utilisation of Taiwanese students. This paper provides a…

  16. Using an adapted form of the picture exchange communication system to increase independent requesting in deafblind adults with learning disabilities.

    PubMed

    Bracken, Maeve; Rohrer, Nicole

    2014-02-01

    The current study assessed the effectiveness of an adapted form of the Picture Exchange Communication System (PECS) in increasing independent requesting in deafblind adults with learning disabilities. PECS cards were created to accommodate individual needs, including adaptations such as enlarging photographs and using swelled images which consisted of images created on raised line drawing paper. Training included up to Phase III of PECS and procedures ensuring generalizations across individuals and contexts were included. The effects of the intervention were evaluated using a multiple baseline design across participants. Results demonstrated an increase in independent requesting with each of the participants reaching mastery criterion. These results suggest that PECS, in combination with some minor adaptations, may be an effective communicative alternative for individuals who are deafblind and have learning impairments. Copyright © 2013 Elsevier Ltd. All rights reserved.

  17. Gateway to Learning: Empowering Individuals?

    ERIC Educational Resources Information Center

    Salveson, Paul; And Others

    Gateway to Learning is a British government initiative that aims to provide new guidance opportunities for adults through a voucher system. In Leeds (England), Gateway to Learning services are targeted toward the following groups: long-term unemployed; short-term unemployed; people facing redundancy; and Asian communities. The program's…

  18. R&D Organizations As Learning Systems

    ERIC Educational Resources Information Center

    Carlsson, Barbara; And Others

    1976-01-01

    Describes how the authors developed an understanding of the research and development process at the Proctor and Gamble Company by applying David Kolb's Learning Model for Individuals to the organizational learning process. (Available from Alfred P. Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139;…

  19. Effect of the learning climate of residency programs on faculty's teaching performance as evaluated by residents.

    PubMed

    Lombarts, Kiki M J M H; Heineman, Maas Jan; Scherpbier, Albert J J A; Arah, Onyebuchi A

    2014-01-01

    To understand teaching performance of individual faculty, the climate in which residents' learning takes place, the learning climate, may be important. There is emerging evidence that specific climates do predict specific outcomes. Until now, the effect of learning climate on the performance of the individual faculty who actually do the teaching was unknown. THIS STUDY: (i) tested the hypothesis that a positive learning climate was associated with better teaching performance of individual faculty as evaluated by residents, and (ii) explored which dimensions of learning climate were associated with faculty's teaching performance. We conducted two cross-sectional questionnaire surveys amongst residents from 45 residency training programs and multiple specialties in 17 hospitals in the Netherlands. Residents evaluated the teaching performance of individual faculty using the robust System for Evaluating Teaching Qualities (SETQ) and evaluated the learning climate of residency programs using the Dutch Residency Educational Climate Test (D-RECT). The validated D-RECT questionnaire consisted of 11 subscales of learning climate. Main outcome measure was faculty's overall teaching (SETQ) score. We used multivariable adjusted linear mixed models to estimate the separate associations of overall learning climate and each of its subscales with faculty's teaching performance. In total 451 residents completed 3569 SETQ evaluations of 502 faculty. Residents also evaluated the learning climate of 45 residency programs in 17 hospitals in the Netherlands. Overall learning climate was positively associated with faculty's teaching performance (regression coefficient 0.54, 95% confidence interval: 0.37 to 0.71; P<0.001). Three out of 11 learning climate subscales were substantially associated with better teaching performance: 'coaching and assessment', 'work is adapted to residents' competence', and 'formal education'. Individual faculty's teaching performance evaluations are positively affected by better learning climate of residency programs.

  20. Maintenance and Exchange of Learning Objects in a Web Services Based e-Learning System

    ERIC Educational Resources Information Center

    Vossen, Gottfried; Westerkamp, Peter

    2004-01-01

    "Web services" enable partners to exploit applications via the Internet. Individual services can be composed to build new and more complex ones with additional and more comprehensive functionality. In this paper, we apply the Web service paradigm to electronic learning, and show how to exchange and maintain learning objects is a…

  1. Lifelong Learning NCES Task Force: Final Report, Volume I. Working Paper Series.

    ERIC Educational Resources Information Center

    Binkley, Marilyn; Hudson, Lisa; Knepper, Paula; Kolstad, Andy; Stowe, Peter; Wirt, John

    In September 1998, the National Center for Education Statistics (NCES) established a 1-year task force to review the NCES's role concerning lifelong learning. The eight-member task force established a working definition of lifelong learning ("a process or system through which individuals are able and willing to learn at all stages of life,…

  2. Can More Become Less? Effects of an Intensive Assessment Environment on Students' Learning Performance

    ERIC Educational Resources Information Center

    Khawaja, M. Asif; Prusty, Gangadhara B.; Ford, Robin A. J.; Marcus, Nadine; Russell, Carol

    2013-01-01

    Online interactive systems offer the beguiling prospect of an improved environment for learning at minimum extra cost. We have developed online interactive tutorials that adapt the learning environment to the current learning status of each individual student. These Adaptive Tutorials (ATs) modify the tasks given to each student according to their…

  3. Competency-Based Accounting Instruction

    ERIC Educational Resources Information Center

    Graham, John E.

    1977-01-01

    Shows how the proposed model (an individualized competency based learning system) can be used effectively to produce a course in accounting principles which adapts to different entering competencies and to different rates and styles of learning. (TA)

  4. Science Methods by Learning Contract

    ERIC Educational Resources Information Center

    Heimler, Charles H.; Cunningham, James

    1972-01-01

    Describes a program employed for teaching a science methods course. The goal of individualized instruction may be achieved by adopting a learning contract system. The appendix includes examples of contracts used in this program. (PS)

  5. Impairments of Multisensory Integration and Cross-Sensory Learning as Pathways to Dyslexia

    PubMed Central

    Hahn, Noemi; Foxe, John J.; Molholm, Sophie

    2014-01-01

    Two sensory systems are intrinsic to learning to read. Written words enter the brain through the visual system and associated sounds through the auditory system. The task before the beginning reader is quite basic. She must learn correspondences between orthographic tokens and phonemic utterances, and she must do this to the point that there is seamless automatic ‘connection’ between these sensorially distinct units of language. It is self-evident then that learning to read requires formation of cross-sensory associations to the point that deeply encoded multisensory representations are attained. While the majority of individuals manage this task to a high degree of expertise, some struggle to attain even rudimentary capabilities. Why do dyslexic individuals, who learn well in myriad other domains, fail at this particular task? Here, we examine the literature as it pertains to multisensory processing in dyslexia. We find substantial support for multisensory deficits in dyslexia, and make the case that to fully understand its neurological basis, it will be necessary to thoroughly probe the integrity of auditory-visual integration mechanisms. PMID:25265514

  6. Patients with Parkinson's Disease Learn to Control Complex Systems via Procedural as Well as Non-Procedural Learning

    ERIC Educational Resources Information Center

    Osman, Magda; Wilkinson, Leonora; Beigi, Mazda; Castaneda, Cristina Sanchez; Jahanshahi, Marjan

    2008-01-01

    The striatum is considered to mediate some forms of procedural learning. Complex dynamic control (CDC) tasks involve an individual having to make a series of sequential decisions to achieve a specific outcome (e.g. learning to operate and control a car), and they involve procedural learning. The aim of this study was to test the hypothesis that…

  7. Performance & Emotion--A Study on Adaptive E-Learning Based on Visual/Verbal Learning Styles

    ERIC Educational Resources Information Center

    Beckmann, Jennifer; Bertel, Sven; Zander, Steffi

    2015-01-01

    Adaptive e-Learning systems are able to adjust to a user's learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for e-Learning, furthered in part by the recent rapid increase in the use of MOOCs (Massive Open Online Courses). A lack of general, individual, and situational data…

  8. Shared Values as Anchors of a Learning Community: A Case Study in Information Systems Design

    ERIC Educational Resources Information Center

    Giordano, Daniela

    2004-01-01

    This paper examines the role in both individual and organizational learning of the system of values sustained by a community undertaking a design task. The discussion is based on the results of a longitudinal study of a community of novice information system designers supported by a Web-based shared design memory which allows reuse of design…

  9. Construct Validation of an Arabic Version of the Learning Transfer System Inventory for Use in Jordan

    ERIC Educational Resources Information Center

    Khasawneh, Samer; Bates, Reid; Holton, Elwood F., III

    2006-01-01

    The purpose of this study was to translate and validate an Arabic version of the Learning Transfer System Inventory (LTSI) for use in Jordan. The study also investigated the perceptions of transfer system characteristics across selected individual and situational variables. The LTSI was administered to 450 employees of 28 different public and…

  10. The Role of Age and Executive Function in Auditory Category Learning

    PubMed Central

    Reetzke, Rachel; Maddox, W. Todd; Chandrasekaran, Bharath

    2015-01-01

    Auditory categorization is a natural and adaptive process that allows for the organization of high-dimensional, continuous acoustic information into discrete representations. Studies in the visual domain have identified a rule-based learning system that learns and reasons via a hypothesis-testing process that requires working memory and executive attention. The rule-based learning system in vision shows a protracted development, reflecting the influence of maturing prefrontal function on visual categorization. The aim of the current study is two-fold: (a) to examine the developmental trajectory of rule-based auditory category learning from childhood through adolescence, into early adulthood; and (b) to examine the extent to which individual differences in rule-based category learning relate to individual differences in executive function. Sixty participants with normal hearing, 20 children (age range, 7–12), 21 adolescents (age range, 13–19), and 19 young adults (age range, 20–23), learned to categorize novel dynamic ripple sounds using trial-by-trial feedback. The spectrotemporally modulated ripple sounds are considered the auditory equivalent of the well-studied Gabor patches in the visual domain. Results revealed that auditory categorization accuracy improved with age, with young adults outperforming children and adolescents. Computational modeling analyses indicated that the use of the task-optimal strategy (i.e. a conjunctive rule-based learning strategy) improved with age. Notably, individual differences in executive flexibility significantly predicted auditory category learning success. The current findings demonstrate a protracted development of rule-based auditory categorization. The results further suggest that executive flexibility coupled with perceptual processes play important roles in successful rule-based auditory category learning. PMID:26491987

  11. Working-memory capacity protects model-based learning from stress.

    PubMed

    Otto, A Ross; Raio, Candace M; Chiang, Alice; Phelps, Elizabeth A; Daw, Nathaniel D

    2013-12-24

    Accounts of decision-making have long posited the operation of separate, competing valuation systems in the control of choice behavior. Recent theoretical and experimental advances suggest that this classic distinction between habitual and goal-directed (or more generally, automatic and controlled) choice may arise from two computational strategies for reinforcement learning, called model-free and model-based learning. Popular neurocomputational accounts of reward processing emphasize the involvement of the dopaminergic system in model-free learning and prefrontal, central executive-dependent control systems in model-based choice. Here we hypothesized that the hypothalamic-pituitary-adrenal (HPA) axis stress response--believed to have detrimental effects on prefrontal cortex function--should selectively attenuate model-based contributions to behavior. To test this, we paired an acute stressor with a sequential decision-making task that affords distinguishing the relative contributions of the two learning strategies. We assessed baseline working-memory (WM) capacity and used salivary cortisol levels to measure HPA axis stress response. We found that stress response attenuates the contribution of model-based, but not model-free, contributions to behavior. Moreover, stress-induced behavioral changes were modulated by individual WM capacity, such that low-WM-capacity individuals were more susceptible to detrimental stress effects than high-WM-capacity individuals. These results enrich existing accounts of the interplay between acute stress, working memory, and prefrontal function and suggest that executive function may be protective against the deleterious effects of acute stress.

  12. Working-memory capacity protects model-based learning from stress

    PubMed Central

    Otto, A. Ross; Raio, Candace M.; Chiang, Alice; Phelps, Elizabeth A.; Daw, Nathaniel D.

    2013-01-01

    Accounts of decision-making have long posited the operation of separate, competing valuation systems in the control of choice behavior. Recent theoretical and experimental advances suggest that this classic distinction between habitual and goal-directed (or more generally, automatic and controlled) choice may arise from two computational strategies for reinforcement learning, called model-free and model-based learning. Popular neurocomputational accounts of reward processing emphasize the involvement of the dopaminergic system in model-free learning and prefrontal, central executive–dependent control systems in model-based choice. Here we hypothesized that the hypothalamic-pituitary-adrenal (HPA) axis stress response—believed to have detrimental effects on prefrontal cortex function—should selectively attenuate model-based contributions to behavior. To test this, we paired an acute stressor with a sequential decision-making task that affords distinguishing the relative contributions of the two learning strategies. We assessed baseline working-memory (WM) capacity and used salivary cortisol levels to measure HPA axis stress response. We found that stress response attenuates the contribution of model-based, but not model-free, contributions to behavior. Moreover, stress-induced behavioral changes were modulated by individual WM capacity, such that low-WM-capacity individuals were more susceptible to detrimental stress effects than high-WM-capacity individuals. These results enrich existing accounts of the interplay between acute stress, working memory, and prefrontal function and suggest that executive function may be protective against the deleterious effects of acute stress. PMID:24324166

  13. Detecting Symptoms of Low Performance Using Production Rules

    ERIC Educational Resources Information Center

    Bravo, Javier; Ortigosa, Alvaro

    2009-01-01

    E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning material. Such material can be accessed at any time from anywhere using different devices, and can be personalized according to the individual student's needs, goals and…

  14. Shaping Interpersonal Learning in the Jazz Improvisation Lesson: Observing a Dynamic Systems Approach

    ERIC Educational Resources Information Center

    de Bruin, Leon Rene

    2018-01-01

    Music institutions predominantly utilize the one-to-one lesson in developing and supporting music students' learning of skill and knowledge. This article explores the effect that interpersonal interaction plays in shaping pedagogical applications between teacher and student. Observing the learning of improvisation within this individualized social…

  15. Learned Helplessness and Academic Failure.

    ERIC Educational Resources Information Center

    Hayes, Carolyn

    Some individuals more readily develop learned helplessness in the classroom, so it is necessary for the educational system to acknowledge it and develop teaching methods to prevent it. Creating awareness among educators of this condition could greatly decrease its occurrence. Children who have a high risk of developing learned helplessness,…

  16. Organization of Distributed Adaptive Learning

    ERIC Educational Resources Information Center

    Vengerov, Alexander

    2009-01-01

    The growing sensitivity of various systems and parts of industry, society, and even everyday individual life leads to the increased volume of changes and needs for adaptation and learning. This creates a new situation where learning from being purely academic knowledge transfer procedure is becoming a ubiquitous always-on essential part of all…

  17. A survey of university students' perceptions of learning management systems in a low-resource setting using a technology acceptance model.

    PubMed

    Chipps, Jennifer; Kerr, Jane; Brysiewicz, Petra; Walters, Fiona

    2015-02-01

    Learning management systems have been widely advocated for the support of distance learning. In low-resource settings, the uptake of these systems by students has been mixed. This study aimed to identify, through the use of the Technology Acceptance Model, the individual, organizational, and technological factors that could be influencing the use of learning management systems. A simple quantitative descriptive survey was conducted of nursing and health science students at a university in South Africa as part of their first exposure to a learning management system. A total of 274 respondents (56.7%) completed the survey questionnaire, made up of 213 nursing respondents (87.7%) and 61 health sciences respondents (25%). Overall, the respondents found the learning management system easy to use and useful for learning. There were significant differences between the two groups of respondents, with the respondents from health sciences being both younger and more computer literate. The nursing respondents, who received more support and orientations, reported finding the learning management system more useful. Recommendations are made for training and support to ensure uptake.

  18. Learning from People, Things, and Signs

    ERIC Educational Resources Information Center

    Hoffmann, Michael H. G.

    2007-01-01

    Starting from the observation that small children can count more objects than numbers--a phenomenon that I am calling the "lifeworld dependency of cognition"--and an analysis of finger calculation, the paper shows how learning can be explained as the development of cognitive systems. Parts of those systems are not only an individual's different…

  19. Credit and Attendance Alternatives for a Competency-Based Instructional Program.

    ERIC Educational Resources Information Center

    Georgia State Dept. of Education, Atlanta. Office of Planning and Development.

    Credit alternatives allow local school systems to take advantage of community learning resources as an enrichment for, or supplement to, school learning experiences. The first part of this handbook describes credit alternatives that may be used by local school systems to provide individualized curricula for diagnostic and prescriptive instruction.…

  20. Adapting Instruction to Individual Learner Differences: A Research Paradigm for Computer-Based Instruction.

    ERIC Educational Resources Information Center

    Mills, Steven C.; Ragan, Tillman J.

    This paper examines a research paradigm that is particularly suited to experimentation-related computer-based instruction and integrated learning systems. The main assumption of the model is that one of the most powerful capabilities of computer-based instruction, and specifically of integrated learning systems, is the capacity to adapt…

  1. Investigating Effects of Embedding Collaboration in an Intelligent Tutoring System for Elementary School Students

    ERIC Educational Resources Information Center

    Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent

    2016-01-01

    Intelligent Tutoring Systems (ITSs) are beneficial for individual students learning in several domains, including mathematics where they have been used to support both secondary and elementary students. Collaborative learning may be beneficial to include in ITSs, particularly for conceptual knowledge. There is little work on collaborative ITSs,…

  2. A Web-Based Tutor for Java™: Evidence of Meaningful Learning

    ERIC Educational Resources Information Center

    Emurian, Henry H.

    2006-01-01

    Students in a graduate class and an undergraduate class in Information Systems completed a Web-based programmed instruction tutor that taught a simple Java applet as the first technical training exercise in a computer programming course. The tutor is a competency-based instructional system for individualized distance learning. When a student…

  3. Recommendation System for Adaptive Learning.

    PubMed

    Chen, Yunxiao; Li, Xiaoou; Liu, Jingchen; Ying, Zhiliang

    2018-01-01

    An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An important question then follows: How should recommendations be made? To answer this question, a mathematical framework is proposed that characterizes the recommendation process as a Markov decision problem, for which decisions are made based on the current knowledge of the learner and that of the learning materials. In particular, two plain vanilla systems are introduced, for which the optimal recommendation at each stage can be obtained analytically.

  4. The Science of the Individual

    ERIC Educational Resources Information Center

    Rose, L. Todd; Rouhani, Parisa; Fischer, Kurt W.

    2013-01-01

    Our goal is to establish a science of the individual, grounded in dynamic systems, and focused on the analysis of individual variability. Our argument is that individuals behave, learn, and develop in distinctive ways, showing patterns of variability that are not captured by models based on statistical averages. As such, any meaningful attempt to…

  5. Helping Diabetic Patients Learn

    PubMed Central

    Spaulding, William B.

    1981-01-01

    Family physicians can be highly effective in helping diabetic patients learn about their disease. Educational principles should be followed. It is essential to motivate the patient, the family doctor, the nurse and the receptionist to be knowledgeable and responsible about diabetes. Individualized, Socratic probing to find out what has been learned and to provide feedback should characterize the educational dialogue. Learning resources, particularly pamphlets and books, should be provided for patients to meet individual educational needs. Every family practice should have an effective appointment and follow up system. Newer knowledge about nutrition and home blood sugar monitoring makes education of diabetic patients even more worth while. PMID:21289787

  6. Individualizing the Teaching of Reading through Test Management Systems.

    ERIC Educational Resources Information Center

    Fry, Edward

    Test management systems are suggested for individualizing the teaching of reading in the elementary classroom. Test management systems start with a list of objectives or specific goals which cover all or some major areas of the learning to read process. They then develop a large number of criterion referenced tests which match the skill areas at…

  7. La necessite d'un apprentissage tout au long de la vie (The Need for Lifelong Learning).

    ERIC Educational Resources Information Center

    Marchand, Louise

    2000-01-01

    In the past, adult education focused on basic training, providing general skills that lasted a lifetime. Today social and economic pressures are pushing adults into lifelong learning. For lifelong learning to become a reality, a system is needed that allows individuals to further their learning, with regular periodic breaks, without penalties or…

  8. The University of Missouri Adult Basic Education System.

    ERIC Educational Resources Information Center

    Mocker, Donald W.; Veri, Clive C.

    The University of Missouri adult basic education (ABE) system, developed from the ABE laboratory with the help of Title III funds, consists of a series of subsystems designed to effect behavioral change in undereducated adults through an individualized flexible approach to learning. The subsystems of diagnostic testing; individual counseling,…

  9. Informal learning processes in support of clinical service delivery in a service-oriented community pharmacy.

    PubMed

    Patterson, Brandon J; Bakken, Brianne K; Doucette, William R; Urmie, Julie M; McDonough, Randal P

    The evolving health care system necessitates pharmacy organizations' adjustments by delivering new services and establishing inter-organizational relationships. One approach supporting pharmacy organizations in making changes may be informal learning by technicians, pharmacists, and pharmacy owners. Informal learning is characterized by a four-step cycle including intent to learn, action, feedback, and reflection. This framework helps explain individual and organizational factors that influence learning processes within an organization as well as the individual and organizational outcomes of those learning processes. A case study of an Iowa independent community pharmacy with years of experience in offering patient care services was made. Nine semi-structured interviews with pharmacy personnel revealed initial evidence in support of the informal learning model in practice. Future research could investigate more fully the informal learning model in delivery of patient care services in community pharmacies. Copyright © 2016 Elsevier Inc. All rights reserved.

  10. Implementation of learning outcome attainment measurement system in aviation engineering higher education

    NASA Astrophysics Data System (ADS)

    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.

  11. Military Curricula for Vocational & Technical Education. Basic Electricity and Electronics Individualized Learning System. CANTRAC A-100-0010. Module Eleven: Capacitance. Study Booklet.

    ERIC Educational Resources Information Center

    Chief of Naval Education and Training Support, Pensacola, FL.

    This individualized learning module on capacitance is one in a series of modules for a course in basic electricity and electronics. The course is one of a number of military-developed curriculum packages selected for adaptation to vocational instructional and curriculum development in a civilian setting. Seven lessons are included in the module:…

  12. Military Curricula for Vocational & Technical Education. Basic Electricity and Electronics Individualized Learning System. CANTRAC A-100-0010. Module Two: Voltage. Study Booklet.

    ERIC Educational Resources Information Center

    Chief of Naval Education and Training Support, Pensacola, FL.

    This individualized learning module on voltage is one in a series of modules for a course in basic electricity and electronics. The course is one of a number of military-developed curriculum packages selected for adaptation to vocational instructional and curriculum development in a civilian setting. Six lessons are included in the module: (1)…

  13. Military Curricula for Vocational & Technical Education. Basic Electricity and Electronics Individualized Learning System. CANTRAC A-100-0010. Module Ten: Transformers. Study Booklet.

    ERIC Educational Resources Information Center

    Chief of Naval Education and Training Support, Pensacola, FL.

    This individualized learning module on transformers is one in a series of modules for a course in basic electricity and electronics. The course is one of a number of military-developed curriculum packages selected for adaptation to vocational instructional and curriculum development in a civilian setting. Six lessons are included in the module:…

  14. Military Curricula for Vocational & Technical Education. Basic Electricity and Electronics Individualized Learning System. CANTRAC A-100-0010. Module Six: Parallel Circuits. Study Booklet.

    ERIC Educational Resources Information Center

    Chief of Naval Education and Training Support, Pensacola, FL.

    This individualized learning module on parallel circuits is one in a series of modules for a course in basic electricity and electronics. The course is one of a number of military-developed curriculum packages selected for adaptation to vocational instructional and curriculum development in a civilian setting. Four lessons are included in the…

  15. Cognitive and Affective Outcomes in Children as a Function of Participation in SCIL, an Individualized Version of the SCIS Program.

    ERIC Educational Resources Information Center

    Appel, Marilyn; And Others

    An overview and rationale for the Science Curriculum for Individualized Learning (SCIL) are provided. SCIL is the result of the individualization of the SCIS program. The SCIL management system is based on the exploration, invention, and discovery concepts of Piagetian theory. An evaluation study of two SCIl units, Interactions and Systems and…

  16. A Research Agenda for Professional Learning Communities: Moving Forward

    ERIC Educational Resources Information Center

    Hairon, Salleh; Goh, Jonathan Wee Pin; Chua, Catherine Siew Kheng; Wang, Li-yi

    2017-01-01

    Professional learning communities (PLCs) as a means of raising the teaching profession are becoming more attractive in education systems seeking to improve school improvement processes and outcomes. The main intention is to increase the individual and collective capacity of teachers so as to support school-wide capacity for teaching and learning.…

  17. LSQuiz: A Collaborative Classroom Response System to Support Active Learning through Ubiquitous Computing

    ERIC Educational Resources Information Center

    Caceffo, Ricardo; Azevedo, Rodolfo

    2014-01-01

    The constructivist theory indicates that knowledge is not something finished and complete. However, the individuals must construct it through the interaction with the physical and social environment. The Active Learning is a methodology designed to support the constructivism through the involvement of students in their learning process, allowing…

  18. Individual and Collective Reflection: How to Meet the Needs of Development in Teaching

    ERIC Educational Resources Information Center

    Nissila, Sade-Pirkko

    2005-01-01

    The following five core ideas explain how learning organizations function as wholes. The core ideas are central when school is examined as a learning organization. Personal mastery, mental models, team learning, shared visions and system thinking offer different angles to examine the organization. (1) Personal mastery. Without personal commitment,…

  19. The Development of a Decision Support System for Mobile Learning: A Case Study in Taiwan

    ERIC Educational Resources Information Center

    Chiu, Po-Sheng; Huang, Yueh-Min

    2016-01-01

    While mobile learning (m-learning) has considerable potential, most of previous strategies for developing this new approach to education were analysed using the knowledge, experience and judgement of individuals, with the support of statistical software. Although these methods provide systematic steps for the implementation of m-learning…

  20. Lifting as We Climb: Developing Constellations of Learning within an Informal Online Radio Format

    ERIC Educational Resources Information Center

    Mistry, Margaret Egan

    2012-01-01

    This mixed-methods study combines the sociocultural theories of Vygotsky's research on thought and language, Mezirow's Transformational Learning Theory, situated learning theory of Rogoff, Lave, and Wenger, to explore individual and group process and resulting products within an online university radio station system. The study…

  1. Complexity-Based Learning and Teaching: A Case Study in Higher Education

    ERIC Educational Resources Information Center

    Fabricatore, Carlo; López, María Ximena

    2014-01-01

    This paper presents a learning and teaching strategy based on complexity science and explores its impacts on a higher education game design course. The strategy aimed at generating conditions fostering individual and collective learning in educational complex adaptive systems, and led the design of the course through an iterative and adaptive…

  2. Designing for Discovery Learning of Complexity Principles of Congestion by Driving Together in the TrafficJams Simulation

    ERIC Educational Resources Information Center

    Levy, Sharona T.; Peleg, Ran; Ofeck, Eyal; Tabor, Naamit; Dubovi, Ilana; Bluestein, Shiri; Ben-Zur, Hadar

    2018-01-01

    We propose and evaluate a framework supporting collaborative discovery learning of complex systems. The framework blends five design principles: (1) individual action: amidst (2) social interactions; challenged with (3) multiple tasks; set in (4) a constrained interactive learning environment that draws attention to (5) highlighted target…

  3. The Impact of Individual Differences on E-Learning System Satisfaction: A Contingency Approach

    ERIC Educational Resources Information Center

    Lu, Hsi-Peng; Chiou, Ming-Jen

    2010-01-01

    This study investigated the impact of contingent variables on the relationship between four predictors and students' satisfaction with e-learning. Five hundred and twenty-two university students from 10 intact classes engaging in online instruction were asked to answer questionnaires about their learning styles, perceptions of the quality of the…

  4. Interactive web-based learning modules prior to general medicine advanced pharmacy practice experiences.

    PubMed

    Isaacs, Alex N; Walton, Alison M; Nisly, Sarah A

    2015-04-25

    To implement and evaluate interactive web-based learning modules prior to advanced pharmacy practice experiences (APPEs) on inpatient general medicine. Three clinical web-based learning modules were developed for use prior to APPEs in 4 health care systems. The aim of the interactive modules was to strengthen baseline clinical knowledge before the APPE to enable the application of learned material through the delivery of patient care. For the primary endpoint, postassessment scores increased overall and for each individual module compared to preassessment scores. Postassessment scores were similar among the health care systems. The survey demonstrated positive student perceptions of this learning experience. Prior to inpatient general medicine APPEs, web-based learning enabled the standardization and assessment of baseline student knowledge across 4 health care systems.

  5. A Person-Centered, Registry-Based Learning Health System for Palliative Care: A Path to Coproducing Better Outcomes, Experience, Value, and Science

    PubMed Central

    Kamal, Arif H.; Kirkland, Kathryn B.; Meier, Diane E.; Nelson, Eugene C.; Pantilat, Steven Z.

    2018-01-01

    Abstract Background: Palliative care offers an approach to the care of people with serious illness that focuses on quality of life and aligning care with individual and family goals, and values in the context of what is medically achievable. Objective: Measurement of the impact of palliative care is critical for determining what works for which patients in what settings, to learn, improve care, and ensure access to high value care for people with serious illness. Methods: A learning health system that includes patients and families partnering with clinicians and care teams, is directly linked to a registry to support networks for improvement and research, and offers an ideal framework for measuring what matters to a range of stakeholders interested in improving care for this population. Measurements: Measurement focuses on the individual patient and family experience as the fundamental outcome of interest around which all care delivery is organized. Results: We describe an approach to codesigning and implementing a palliative care registry that functions as a learning health system, by combining patient and family inputs and clinical data to support person-centered care, quality improvement, accountability, transparency, and scientific research. Discussion: The potential for a palliative care learning health system that, by design, brings together enriched information environments to support coproduction of healthcare and facilitated peer networks to support patients and families, collaborative clinician networks to support palliative care program improvement, and collaboratories to support research and the application of research to benefit individual patients is immense. PMID:29091509

  6. Discovering the Power of Individual-Based Modelling in Teaching and Learning: The Study of a Predator-Prey System

    NASA Astrophysics Data System (ADS)

    Ginovart, Marta

    2014-08-01

    The general aim is to promote the use of individual-based models (biological agent-based models) in teaching and learning contexts in life sciences and to make their progressive incorporation into academic curricula easier, complementing other existing modelling strategies more frequently used in the classroom. Modelling activities for the study of a predator-prey system for a mathematics classroom in the first year of an undergraduate program in biosystems engineering have been designed and implemented. These activities were designed to put two modelling approaches side by side, an individual-based model and a set of ordinary differential equations. In order to organize and display this, a system with wolves and sheep in a confined domain was considered and studied. With the teaching material elaborated and a computer to perform the numerical resolutions involved and the corresponding individual-based simulations, the students answered questions and completed exercises to achieve the learning goals set. Students' responses regarding the modelling of biological systems and these two distinct methodologies applied to the study of a predator-prey system were collected via questionnaires, open-ended queries and face-to-face dialogues. Taking into account the positive responses of the students when they were doing these activities, it was clear that using a discrete individual-based model to deal with a predator-prey system jointly with a set of ordinary differential equations enriches the understanding of the modelling process, adds new insights and opens novel perspectives of what can be done with computational models versus other models. The complementary views given by the two modelling approaches were very well assessed by students.

  7. Supporting Active Learning in an Undergraduate Geotechnical Engineering Course Using Group-Based Audience Response Systems Quizzes

    ERIC Educational Resources Information Center

    Donohue, Shane

    2014-01-01

    The use of audience response systems (ARSs) or "clickers" in higher education has increased over the recent years, predominantly owing to their ability to actively engage students, for promoting individual and group learning, and for providing instantaneous feedback to students and teachers. This paper describes how group-based ARS…

  8. Extending E-Book with Contextual Knowledge Recommender for Reading Support on a Web-Based Learning System

    ERIC Educational Resources Information Center

    Chen, Gwo-Dong; Wei, Fu-Hsiang; Wang, Chin-Yeh; Lee, Jih-Hsien

    2007-01-01

    Reading content of the Web is increasingly popular. When students read the same material, each student has a unique comprehension of the text and requires individual support from appropriate references. Most references in typical web learning systems are unorganized. Students are often required to disrupt their reading to locate references. This…

  9. Predictive Effects of Online Peer Feedback Types on Performance Quality

    ERIC Educational Resources Information Center

    Yu, Fu-Yun; Wu, Chun-Ping

    2013-01-01

    This study examined the individual and combined predictive effects of two types of feedback (i.e., quantitative ratings and descriptive comments) in online peer-assessment learning systems on the quality of produced work. A total of 233 students participated in the study for six weeks. An online learning system that allows students to contribute…

  10. Temporal structure of motor variability is dynamically regulated and predicts motor learning ability.

    PubMed

    Wu, Howard G; Miyamoto, Yohsuke R; Gonzalez Castro, Luis Nicolas; Ölveczky, Bence P; Smith, Maurice A

    2014-02-01

    Individual differences in motor learning ability are widely acknowledged, yet little is known about the factors that underlie them. Here we explore whether movement-to-movement variability in motor output, a ubiquitous if often unwanted characteristic of motor performance, predicts motor learning ability. Surprisingly, we found that higher levels of task-relevant motor variability predicted faster learning both across individuals and across tasks in two different paradigms, one relying on reward-based learning to shape specific arm movement trajectories and the other relying on error-based learning to adapt movements in novel physical environments. We proceeded to show that training can reshape the temporal structure of motor variability, aligning it with the trained task to improve learning. These results provide experimental support for the importance of action exploration, a key idea from reinforcement learning theory, showing that motor variability facilitates motor learning in humans and that our nervous systems actively regulate it to improve learning.

  11. Temporal structure of motor variability is dynamically regulated and predicts motor learning ability

    PubMed Central

    Wu, Howard G; Miyamoto, Yohsuke R; Castro, Luis Nicolas Gonzalez; Ölveczky, Bence P; Smith, Maurice A

    2015-01-01

    Individual differences in motor learning ability are widely acknowledged, yet little is known about the factors that underlie them. Here we explore whether movement-to-movement variability in motor output, a ubiquitous if often unwanted characteristic of motor performance, predicts motor learning ability. Surprisingly, we found that higher levels of task-relevant motor variability predicted faster learning both across individuals and across tasks in two different paradigms, one relying on reward-based learning to shape specific arm movement trajectories and the other relying on error-based learning to adapt movements in novel physical environments. We proceeded to show that training can reshape the temporal structure of motor variability, aligning it with the trained task to improve learning. These results provide experimental support for the importance of action exploration, a key idea from reinforcement learning theory, showing that motor variability facilitates motor learning in humans and that our nervous systems actively regulate it to improve learning. PMID:24413700

  12. Adaptive and perceptual learning technologies in medical education and training.

    PubMed

    Kellman, Philip J

    2013-10-01

    Recent advances in the learning sciences offer remarkable potential to improve medical education and maximize the benefits of emerging medical technologies. This article describes 2 major innovation areas in the learning sciences that apply to simulation and other aspects of medical learning: Perceptual learning (PL) and adaptive learning technologies. PL technology offers, for the first time, systematic, computer-based methods for teaching pattern recognition, structural intuition, transfer, and fluency. Synergistic with PL are new adaptive learning technologies that optimize learning for each individual, embed objective assessment, and implement mastery criteria. The author describes the Adaptive Response-Time-based Sequencing (ARTS) system, which uses each learner's accuracy and speed in interactive learning to guide spacing, sequencing, and mastery. In recent efforts, these new technologies have been applied in medical learning contexts, including adaptive learning modules for initial medical diagnosis and perceptual/adaptive learning modules (PALMs) in dermatology, histology, and radiology. Results of all these efforts indicate the remarkable potential of perceptual and adaptive learning technologies, individually and in combination, to improve learning in a variety of medical domains. Reprint & Copyright © 2013 Association of Military Surgeons of the U.S.

  13. Addressing Learning Style Criticism: The Unified Learning Style Model Revisited

    NASA Astrophysics Data System (ADS)

    Popescu, Elvira

    Learning style is one of the individual differences that play an important but controversial role in the learning process. This paper aims at providing a critical analysis regarding learning styles and their use in technology enhanced learning. The identified criticism issues are addressed by reappraising the so called Unified Learning Style Model (ULSM). A detailed description of the ULSM components is provided, together with their rationale. The practical applicability of the model in adaptive web-based educational systems and its advantages versus traditional learning style models are also outlined.

  14. The impact of social context on learning and cognitive demands for interactive virtual human simulations

    PubMed Central

    Lyons, Rebecca; Johnson, Teresa R.; Khalil, Mohammed K.

    2014-01-01

    Interactive virtual human (IVH) simulations offer a novel method for training skills involving person-to-person interactions. This article examines the effectiveness of an IVH simulation for teaching medical students to assess rare cranial nerve abnormalities in both individual and small-group learning contexts. Individual (n = 26) and small-group (n = 30) interaction with the IVH system was manipulated to examine the influence on learning, learner engagement, perceived cognitive demands of the learning task, and instructional efficiency. Results suggested the IVH activity was an equally effective and engaging instructional tool in both learning structures, despite learners in the group learning contexts having to share hands-on access to the simulation interface. Participants in both conditions demonstrated a significant increase in declarative knowledge post-training. Operation of the IVH simulation technology imposed moderate cognitive demand but did not exceed the demands of the task content or appear to impede learning. PMID:24883241

  15. Variation across individuals and items determine learning outcomes from fast mapping.

    PubMed

    Coutanche, Marc N; Koch, Griffin E

    2017-11-01

    An approach to learning words known as "fast mapping" has been linked to unique neurobiological and behavioral markers in adult humans, including rapid lexical integration. However, the mechanisms supporting fast mapping are still not known. In this study, we sought to help change this by examining factors that modulate learning outcomes. In 90 subjects, we systematically manipulated the typicality of the items used to support fast mapping (foils), and quantified learners' inclination to employ semantic, episodic, and spatial memory through the Survey of Autobiographical Memory (SAM). We asked how these factors affect lexical competition and recognition performance, and then asked how foil typicality and lexical competition are related in an independent dataset. We find that both the typicality of fast mapping foils, and individual differences in how different memory systems are employed, influence lexical competition effects after fast mapping, but not after other learning approaches. Specifically, learning a word through fast mapping with an atypical foil led to lexical competition, while a typical foil led to lexical facilitation. This effect was particularly evident in individuals with a strong tendency to employ semantic memory. We further replicated the relationship between continuous foil atypicality and lexical competition in an independent dataset. These findings suggest that semantic properties of the foils that support fast mapping can influence the degree and nature of subsequent lexical integration. Further, the effects of foils differ based on an individual's tendency to draw-on the semantic memory system. Copyright © 2017 Elsevier Ltd. All rights reserved.

  16. The reality of virtual learning for nurses in the largest integrated health care system in the nation.

    PubMed

    Rick, Cathy; Kearns, Martha A; Thompson, Nancy A

    2003-01-01

    The health care network and hospital system within the Department of Veterans Affairs (VA), the Veterans Health Administration (VHA), provides employment to more than 56,000 nursing personnel and serves as clinical education site to countless other nursing and health professional students. Nurse administrators and educators are posed with the challenge of providing an environment in which each nurse is able to gain needed knowledge, learn new skills, and share and communicate this knowledge with other colleagues. The education of nurses improves the health status of veterans while also realizing individual professional enhancement. Regional and cultural diversity of the system present challenges to education, in both delivery and content. VHA's learning organizations, the Employee Education System and the Office of Special Projects, have maximized new technologies and information systems to provide innovative, virtual education opportunities, capitalizing on the benefits of informal and formal learning, thus moving VHA to the forefront in knowledge sharing and dissemination. The Virtual Learning Center, VA Knowledge Network, Learning Catalog, and VA Learning Online provide VHA's nurses with interactive, desktop virtual learning opportunities.

  17. Statistical Learning Is Constrained to Less Abstract Patterns in Complex Sensory Input (but not the Least)

    PubMed Central

    Emberson, Lauren L.; Rubinstein, Dani

    2016-01-01

    The influence of statistical information on behavior (either through learning or adaptation) is quickly becoming foundational to many domains of cognitive psychology and cognitive neuroscience, from language comprehension to visual development. We investigate a central problem impacting these diverse fields: when encountering input with rich statistical information, are there any constraints on learning? This paper examines learning outcomes when adult learners are given statistical information across multiple levels of abstraction simultaneously: from abstract, semantic categories of everyday objects to individual viewpoints on these objects. After revealing statistical learning of abstract, semantic categories with scrambled individual exemplars (Exp. 1), participants viewed pictures where the categories as well as the individual objects predicted picture order (e.g., bird1—dog1, bird2—dog2). Our findings suggest that participants preferentially encode the relationships between the individual objects, even in the presence of statistical regularities linking semantic categories (Exps. 2 and 3). In a final experiment we investigate whether learners are biased towards learning object-level regularities or simply construct the most detailed model given the data (and therefore best able to predict the specifics of the upcoming stimulus) by investigating whether participants preferentially learn from the statistical regularities linking individual snapshots of objects or the relationship between the objects themselves (e.g., bird_picture1— dog_picture1, bird_picture2—dog_picture2). We find that participants fail to learn the relationships between individual snapshots, suggesting a bias towards object-level statistical regularities as opposed to merely constructing the most complete model of the input. This work moves beyond the previous existence proofs that statistical learning is possible at both very high and very low levels of abstraction (categories vs. individual objects) and suggests that, at least with the current categories and type of learner, there are biases to pick up on statistical regularities between individual objects even when robust statistical information is present at other levels of abstraction. These findings speak directly to emerging theories about how systems supporting statistical learning and prediction operate in our structure-rich environments. Moreover, the theoretical implications of the current work across multiple domains of study is already clear: statistical learning cannot be assumed to be unconstrained even if statistical learning has previously been established at a given level of abstraction when that information is presented in isolation. PMID:27139779

  18. Adaptive Semantic and Social Web-based learning and assessment environment for the STEM

    NASA Astrophysics Data System (ADS)

    Babaie, Hassan; Atchison, Chris; Sunderraman, Rajshekhar

    2014-05-01

    We are building a cloud- and Semantic Web-based personalized, adaptive learning environment for the STEM fields that integrates and leverages Social Web technologies to allow instructors and authors of learning material to collaborate in semi-automatic development and update of their common domain and task ontologies and building their learning resources. The semi-automatic ontology learning and development minimize issues related to the design and maintenance of domain ontologies by knowledge engineers who do not have any knowledge of the domain. The social web component of the personal adaptive system will allow individual and group learners to interact with each other and discuss their own learning experience and understanding of course material, and resolve issues related to their class assignments. The adaptive system will be capable of representing key knowledge concepts in different ways and difficulty levels based on learners' differences, and lead to different understanding of the same STEM content by different learners. It will adapt specific pedagogical strategies to individual learners based on their characteristics, cognition, and preferences, allow authors to assemble remotely accessed learning material into courses, and provide facilities for instructors to assess (in real time) the perception of students of course material, monitor their progress in the learning process, and generate timely feedback based on their understanding or misconceptions. The system applies a set of ontologies that structure the learning process, with multiple user friendly Web interfaces. These include the learning ontology (models learning objects, educational resources, and learning goal); context ontology (supports adaptive strategy by detecting student situation), domain ontology (structures concepts and context), learner ontology (models student profile, preferences, and behavior), task ontologies, technological ontology (defines devices and places that surround the student), pedagogy ontology, and learner ontology (defines time constraint, comment, profile).

  19. Military Curricula for Vocational & Technical Education. Basic Electricity and Electronics Individualized Learning System. CANTRAC A-100-0010. Module Five: Relationships of Current, Voltage, and Resistance. Study Booklet.

    ERIC Educational Resources Information Center

    Chief of Naval Education and Training Support, Pensacola, FL.

    This individualized learning module on the relationships of current, voltage, and resistance is one in a series of modules for a course in basic electricity and electronics. The course is one of a number of military-developed curriculum packages selected for adaptaticn to vocational instructional and curriculum development in a civilian setting.…

  20. The Neurodevelopmental Evaluation in a Private Pediatric Setting.

    ERIC Educational Resources Information Center

    Fomalont, Robert

    1986-01-01

    A comprehensive neurodevelopment evaluation technique known as PEERAMID is recommended for pediatricians in the evaluation of learning disabilities. This multifaceted system assesses the learning process individually, analyzing: minor neurological indicators, fine and gross motor function, language ability, temporal-sequential organization,…

  1. Supporting Students in Open and Distance Learning. Open and Distance Learning Series.

    ERIC Educational Resources Information Center

    Simpson, Ormond

    This book, which is intended for individuals involved in recruiting and teaching students in open and distance learning (ODL) situations, examines academic and nonacademic student support issues in ODL. The following are among the topics discussed in the book's 14 chapters: (1) models and definitions of ODL systems; (2) rationale for student…

  2. Computer-Mediated Counter-Arguments and Individual Learning

    ERIC Educational Resources Information Center

    Hsu, Jack Shih-Chieh; Huang, Hsieh-Hong; Linden, Lars P.

    2011-01-01

    This study explores a de-bias function for a decision support systems (DSS) that is designed to help a user avoid confirmation bias by increasing the user's learning opportunities. Grounded upon the theory of mental models, the use of DSS is viewed as involving a learning process, whereby a user is directed to build mental models so as to reduce…

  3. A Systemic Framework for Managing E-Learning Adoption in Campus Universities: Individual Strategies in Context

    ERIC Educational Resources Information Center

    Russell, Carol

    2009-01-01

    There are hopes that new learning technologies will help to transform university learning and teaching into a more engaging experience for twenty-first-century students. But since 2000 the changes in campus university teaching have been more limited than expected. I have drawn on ideas from organisational change management research to investigate…

  4. The Perplexing Role of Learner Control in E-Learning: Will Learning and Transfer Benefit or Suffer?

    ERIC Educational Resources Information Center

    Granger, Benjamin P.; Levine, Edward L.

    2010-01-01

    The appeal of e-learning is not surprising given its many proposed advantages (e.g. flexibility, responsiveness to trainees' individual needs, potential cost-effectiveness). However, as pointed out by Ruel et al., academic research in support of the proposed advantages of electronic human resource management systems is scarce. Although this is…

  5. Personalization of Student in Course Management Systems on the Basis Using Method of Data Mining

    ERIC Educational Resources Information Center

    Magdin, Martin; Turcáni, Milan

    2015-01-01

    Individualization of learning through ICT [Information and Communication Technology] allows to students not only the possibility choose the time and place to study, but especially pace adoption of new knowledge on the basis of preferred learning styles. Analysis of learning processes should give the answer to difficult questions from pedagogical…

  6. A Flow Theory Perspective on Learner Motivation and Behavior in Distance Education

    ERIC Educational Resources Information Center

    Liao, Li-Fen

    2006-01-01

    Motivating learners to continue to study and enjoy learning is one of the critical factors in distance education. Flow theory is a useful framework for studying the individual experience of learning through using computers. In this study, I examine students' emotional and cognitive responses to distance learning systems by constructing two models…

  7. Empowering Personalized Learning with an Interactive E-Book Learning System for Elementary School Students

    ERIC Educational Resources Information Center

    Huang, Yueh-Min; Liang, Tsung-Ho; Su, Yen-Ning; Chen, Nian-Shing

    2012-01-01

    Today various types of tablet computers are used, including iPad and Android Tablets. These individual portable digital devices can be used as e-book readers to support mobile personalized learning. Though many studies have investigated e-books by targeting undergraduate students, yet less attention has been paid to children. Therefore, an…

  8. Semantic Annotation of Resources to Learn with Connected Things

    ERIC Educational Resources Information Center

    Bouchereau, Aymeric; Roxin, Ioan

    2017-01-01

    Computer systems tend to be ubiquitous as they become more integrated in our everyday activities, embedded in tables, shoes, watch and plenty of others connected things (CT). In the e-learning field, the transformations induced by the Internet of Things (IoT) allow individuals to learn whenever they want, accessing a quantity of diverse digital…

  9. A Dynamic Programming Approach to Identifying the Shortest Path in Virtual Learning Environments

    ERIC Educational Resources Information Center

    Fazlollahtabar, Hamed

    2008-01-01

    E-learning has been widely adopted as a promising solution by many organizations to offer learning-on-demand opportunities to individual employees (learners) in order to reduce training time and cost. While successful information systems models have received much attention among researchers, little research has been conducted to assess the success…

  10. Standardization of computer-assisted semen analysis using an e-learning application.

    PubMed

    Ehlers, J; Behr, M; Bollwein, H; Beyerbach, M; Waberski, D

    2011-08-01

    Computer-assisted semen analysis (CASA) is primarily used to obtain accurate and objective kinetic sperm measurements. Additionally, AI centers use computer-assessed sperm concentration in the sample as a basis for calculating the number of insemination doses available from a given ejaculate. The reliability of data is often limited and results can vary even when the same CASA systems with identical settings are used. The objective of the present study was to develop a computer-based training module for standardized measurements with a CASA system and to evaluate its training effect on the quality of the assessment of sperm motility and concentration. A digital versatile disc (DVD) has been produced showing the standardization of sample preparation and analysis with the CASA system SpermVision™ version 3.0 (Minitube, Verona, WI, USA) in words, pictures, and videos, as well as the most probable sources of error. Eight test persons educated in spermatology, but with different levels of experience with the CASA system, prepared and assessed 10 aliquots from one prediluted bull ejaculate using the same CASA system and laboratory equipment before and after electronic learning (e-learning). After using the e-learning application, the coefficient of variation was reduced on average for the sperm concentration from 26.1% to 11.3% (P ≤ 0.01), and for motility from 5.8% to 3.1% (P ≤ 0.05). For five test persons, the difference in the coefficient of variation before and after use of the e-learning application was significant (P ≤ 0.05). Individual deviations of means from the group mean before e-learning were reduced compared with individual deviations from the group mean after e-learning. According to a survey, the e-learning application was highly accepted by users. In conclusion, e-learning presents an effective, efficient, and accepted tool for improvement of the precision of CASA measurements. This study provides a model for the standardization of other laboratory procedures using e-learning. Copyright © 2011 Elsevier Inc. All rights reserved.

  11. Post-weaning social and cognitive performance of piglets raised pre-weaning either in a complex multi-suckling group housing system or in a conventional system with a crated sow.

    PubMed

    van Nieuwamerongen, S E; Mendl, M; Held, S; Soede, N M; Bolhuis, J E

    2017-09-01

    We studied the social and cognitive performance of piglets raised pre-weaning either in a conventional system with a sow in a farrowing crate (FC) or in a multi-suckling (MS) system in which 5 sows and their piglets could interact in a more physically enriched and spacious environment. After weaning at 4 weeks of age, 8 groups of 4 litter-mates per pre-weaning housing treatment were studied under equal and enriched post-weaning housing conditions. From each pen, one pair consisting of a dominant and a submissive pig was selected, based on a feed competition test (FCT) 2 weeks post-weaning. This pair was used in an informed forager test (IFT) which measured aspects of spatial learning and foraging strategies in a competitive context. During individual training, submissive (informed) pigs learned to remember a bait location in a testing arena with 8 buckets (the same bucket was baited in a search visit and a subsequent relocation visit), whereas dominant (non-informed) pigs always found the bait in a random bucket (search visits only). After learning their task, the informed pigs' individual search visit was followed by a pairwise relocation visit in which they were accompanied by the non-informed pig. Effects of pre-weaning housing treatment were not distinctly present regarding the occurrence of aggression in the FCT and the learning performance during individual training in the IFT. During paired visits, informed and non-informed pigs changed their behaviour in response to being tested pairwise instead of individually, but MS and FC pigs showed few distinct behavioural differences.

  12. Stress and the Student with Autism Spectrum Disorders: Strategies for Stress Reduction and Enhanced Learning

    ERIC Educational Resources Information Center

    Lytle, Rebecca; Todd, Teri

    2009-01-01

    Shane, who is in Ms. Jones's third-grade class, has autism. Ms. Jones has provided him with a schedule, a picture communication system, and a positive reinforcement system for his learning tasks. He is demonstrating progress toward his individualized education program (IEP) goals, but he still struggles with attending for any length of time,…

  13. Computer Assisted Diagnostic Prescriptive Program in Reading and Mathematics. An Exemplary Micro-Computer Program and a Developer/Demonstrator Project, National Diffusion Network.

    ERIC Educational Resources Information Center

    Roberson, E. Wayne; Glowinski, Debra J.

    The Computer Assisted Diagnostic Prescriptive Program (CADPP) is a customized databased curriculum management system which permits the user to load the following into a filing/retrieval software system: (1) learning characteristics of individual students (e.g., age, instructional level, learning modality); (2) skill-oriented characteristics of…

  14. Attitudes of Students Taking Distance Education in Theology Undergraduate Education Program Towards E-Learning Management System

    ERIC Educational Resources Information Center

    Yalman, Murat; Basaran, Bülent; Gönen, Selahattin

    2016-01-01

    Education is one of the biggest problems experienced by developing societies. Education is has an important place in individuals' lives since it allows them to prove themselves within their society and to maintain their future lives. Today, with the development of the Internet, education can be given via e-learning management systems designed on…

  15. Utilizing constructivism learning theory in collaborative testing as a creative strategy to promote essential nursing skills.

    PubMed

    Duane, Barbara T; Satre, Maria E

    2014-01-01

    In nursing education, students participate in individual learner testing. This process follows the instructionist learning theory of a system model. However, in the practice of nursing, success depends upon collaboration with numerous people in different capacities, critical thinking, clinical reasoning, and the ability to communicate with others. Research has shown that collaborative testing, a constructivism learning activity and a form of collaborative learning, enhances students' abilities to master these areas. Collaborative testing is a clear, creative strategy which constructivists would say supports the socio-linguistic base of their learning theory. The test becomes an active implementation of peer-mediated learning where individual knowledge is enhanced through problem solving or defense of an individual position with the collaborative method. There is criticism for the testing method's potential of grade inflation and for students to receive grade benefits with little effort. After a review of various collaborative testing methods, this nursing faculty implemented a collaborative testing format that addresses both the positive and negative aspects of the process. Copyright © 2013 Elsevier Ltd. All rights reserved.

  16. Development of an Online Smartphone-Based eLearning Nutrition Education Program for Low-Income Individuals.

    PubMed

    Stotz, Sarah; Lee, Jung Sun

    2018-01-01

    The objective of this report was to describe the development process of an innovative smartphone-based electronic learning (eLearning) nutrition education program targeted to Supplemental Nutrition Assistance Program-Education-eligible individuals, entitled Food eTalk. Lessons learned from the Food eTalk development process suggest that it is critical to include all key team members from the program's inception using effective inter-team communication systems, understand the unique resources needed, budget ample time for development, and employ an iterative development and evaluation model. These lessons have implications for researchers and funding agencies in developing an innovative evidence-based eLearning nutrition education program to an increasingly technology-savvy, low-income audience. Copyright © 2016 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

  17. Implicit perceptual-motor skill learning in mild cognitive impairment and Parkinson's disease.

    PubMed

    Gobel, Eric W; Blomeke, Kelsey; Zadikoff, Cindy; Simuni, Tanya; Weintraub, Sandra; Reber, Paul J

    2013-05-01

    Implicit skill learning is hypothesized to depend on nondeclarative memory that operates independent of the medial temporal lobe (MTL) memory system and instead depends on cortico striatal circuits between the basal ganglia and cortical areas supporting motor function and planning. Research with the Serial Reaction Time (SRT) task suggests that patients with memory disorders due to MTL damage exhibit normal implicit sequence learning. However, reports of intact learning rely on observations of no group differences, leading to speculation as to whether implicit sequence learning is fully intact in these patients. Patients with Parkinson's disease (PD) often exhibit impaired sequence learning, but this impairment is not universally observed. Implicit perceptual-motor sequence learning was examined using the Serial Interception Sequence Learning (SISL) task in patients with amnestic Mild Cognitive Impairment (MCI; n = 11) and patients with PD (n = 15). Sequence learning in SISL is resistant to explicit learning and individually adapted task difficulty controls for baseline performance differences. Patients with MCI exhibited robust sequence learning, equivalent to healthy older adults (n = 20), supporting the hypothesis that the MTL does not contribute to learning in this task. In contrast, the majority of patients with PD exhibited no sequence-specific learning in spite of matched overall task performance. Two patients with PD exhibited performance indicative of an explicit compensatory strategy suggesting that impaired implicit learning may lead to greater reliance on explicit memory in some individuals. The differences in learning between patient groups provides strong evidence in favor of implicit sequence learning depending solely on intact basal ganglia function with no contribution from the MTL memory system.

  18. Complexity theory and the "puzzling" competencies: Systems-based Practice And Practice-based Learning explored.

    PubMed

    Gonnering, Russell S

    2010-01-01

    Of all the clinical competencies, the least understood are Systems-Based Practice and Practice-Based Learning and Improvement. With a shift to competency-based education and evaluation across the spectrum of surgical education and practice, a clear understanding of the power and utility of each competency is paramount. Health care operates as a complex adaptive system, with dynamics foreign to many health care professionals and educators. The adaptation and evolution of such a system is related directly to both the individual and the organizational learning of the agents within the system and knowledge management strategies. Far from being "difficult," Systems-Based Practice and Practice-Based Learning form the heart of quality improvement initiatives and future productivity advances in health care. Copyright 2010 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  19. Web 2.0 systems supporting childhood chronic disease management: design guidelines based on information behaviour and social learning theories.

    PubMed

    Ekberg, Joakim; Ericson, Leni; Timpka, Toomas; Eriksson, Henrik; Nordfeldt, Sam; Hanberger, Lena; Ludvigsson, Johnny

    2010-04-01

    Self-directed learning denotes that the individual is in command of what should be learned and why it is important. In this study, guidelines for the design of Web 2.0 systems for supporting diabetic adolescents' every day learning needs are examined in light of theories about information behaviour and social learning. A Web 2.0 system was developed to support a community of practice and social learning structures were created to support building of relations between members on several levels in the community. The features of the system included access to participation in the culture of diabetes management practice, entry to information about the community and about what needs to be learned to be a full practitioner or respected member in the community, and free sharing of information, narratives and experience-based knowledge. After integration with the key elements derived from theories of information behaviour, a preliminary design guideline document was formulated.

  20. Do Lifestyles Shape Self-Regulated Learning Strategies?

    ERIC Educational Resources Information Center

    Tezci, Erdogan; Sezer, Fahri; Aktan, Sumer; Gurgan, Ugur

    2016-01-01

    Problem Statement: Being a virtuous citizen, developing communication skills, and becoming a life-long learner are directly proportionate to the individuals' perspectives on life. Provided that an education system is able to positively change the individuals' perspectives on life, it may allow individuals to acquire terminal behaviors easier. This…

  1. Adaptive Intelligent Support to Improve Peer Tutoring in Algebra

    ERIC Educational Resources Information Center

    Walker, Erin; Rummel, Nikol; Koedinger, Kenneth R.

    2014-01-01

    Adaptive collaborative learning support (ACLS) involves collaborative learning environments that adapt their characteristics, and sometimes provide intelligent hints and feedback, to improve individual students' collaborative interactions. ACLS often involves a system that can automatically assess student dialogue, model effective and…

  2. Brain potentials predict learning, transmission and modification of an artificial symbolic system.

    PubMed

    Lumaca, Massimo; Baggio, Giosuè

    2016-12-01

    It has recently been argued that symbolic systems evolve while they are being transmitted across generations of learners, gradually adapting to the relevant brain structures and processes. In the context of this hypothesis, little is known on whether individual differences in neural processing capacity account for aspects of 'variation' observed in symbolic behavior and symbolic systems. We addressed this issue in the domain of auditory processing. We conducted a combined behavioral and EEG study on 2 successive days. On day 1, participants listened to standard and deviant five-tone sequences: as in previous oddball studies, an mismatch negativity (MMN) was elicited by deviant tones. On day 2, participants learned an artificial signaling system from a trained confederate of the experimenters in a coordination game in which five-tone sequences were associated to affective meanings (emotion-laden pictures of human faces). In a subsequent game with identical structure, participants transmitted and occasionally changed the signaling system learned during the first game. The MMN latency from day 1 predicted learning, transmission and structural modification of signaling systems on day 2. Our study introduces neurophysiological methods into research on cultural transmission and evolution, and relates aspects of variation in symbolic systems to individual differences in neural information processing. © The Author (2016). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

  3. Social learning of predators in the dark: understanding the role of visual, chemical and mechanical information.

    PubMed

    Manassa, R P; McCormick, M I; Chivers, D P; Ferrari, M C O

    2013-08-22

    The ability of prey to observe and learn to recognize potential predators from the behaviour of nearby individuals can dramatically increase survival and, not surprisingly, is widespread across animal taxa. A range of sensory modalities are available for this learning, with visual and chemical cues being well-established modes of transmission in aquatic systems. The use of other sensory cues in mediating social learning in fishes, including mechano-sensory cues, remains unexplored. Here, we examine the role of different sensory cues in social learning of predator recognition, using juvenile damselfish (Amphiprion percula). Specifically, we show that a predator-naive observer can socially learn to recognize a novel predator when paired with a predator-experienced conspecific in total darkness. Furthermore, this study demonstrates that when threatened, individuals release chemical cues (known as disturbance cues) into the water. These cues induce an anti-predator response in nearby individuals; however, they do not facilitate learnt recognition of the predator. As such, another sensory modality, probably mechano-sensory in origin, is responsible for information transfer in the dark. This study highlights the diversity of sensory cues used by coral reef fishes in a social learning context.

  4. Web-Based Learning Support System

    NASA Astrophysics Data System (ADS)

    Fan, Lisa

    Web-based learning support system offers many benefits over traditional learning environments and has become very popular. The Web is a powerful environment for distributing information and delivering knowledge to an increasingly wide and diverse audience. Typical Web-based learning environments, such as Web-CT, Blackboard, include course content delivery tools, quiz modules, grade reporting systems, assignment submission components, etc. They are powerful integrated learning management systems (LMS) that support a number of activities performed by teachers and students during the learning process [1]. However, students who study a course on the Internet tend to be more heterogeneously distributed than those found in a traditional classroom situation. In order to achieve optimal efficiency in a learning process, an individual learner needs his or her own personalized assistance. For a web-based open and dynamic learning environment, personalized support for learners becomes more important. This chapter demonstrates how to realize personalized learning support in dynamic and heterogeneous learning environments by utilizing Adaptive Web technologies. It focuses on course personalization in terms of contents and teaching materials that is according to each student's needs and capabilities. An example of using Rough Set to analyze student personal information to assist students with effective learning and predict student performance is presented.

  5. Action learning across the decades.

    PubMed

    Eason, Ken

    2017-05-02

    Purpose The purpose of this paper is to explore how action learning concepts were used in two healthcare projects undertaken many decades apart. The specific purpose in both cases was to examine how action learning can contribute to shared learning across key stakeholders in a complex socio-technical system. In each case study, action learning supported joint design programmes and the sharing of perspectives about the complex system under investigation. Design/methodology/approach Two action learning projects are described: first, the Hospital Internal Communications (HIC) project led by Reg Revans in the 1960s. Senior staff in ten London hospitals formed action learning teams to address communication issues. Second, in the Better Outcomes for People with Learning Disabilities: Transforming Care (BOLDTC) project, videoconferencing equipment enabled people with learning disabilities to increase their opportunities to communicate. A mutual learning process was established to enable stakeholders to explore the potential of the technical system to improve individual care. Findings The HIC project demonstrated the importance of evidence being shared between team members and that action had to engage the larger healthcare system outside the hospital. The BOLDTC project confirmed the continuing relevance of action learning to healthcare today. Mutual learning was achieved between health and social care specialists and technologists. Originality/value This work draws together the socio-technical systems tradition (considering both social and technical issues in organisations) and action learning to demonstrate that complex systems development needs to be undertaken as a learning process in which action provides the fuel for learning and design.

  6. Methods to prefetch comparison images in image management and communication system

    NASA Astrophysics Data System (ADS)

    Levin, Kenneth; Fielding, Robert

    1990-08-01

    A high-level description of a system to pre-fetch comparison radiographs in an Image Management and Communication System (IMAC) is presented. This rule based system estimates the relevance of previous examinations for comparison to the current examination arid uses this determination to pre-fetch comparison studies. A machine learning module should allow the system to improve its skill in pre-fetching examinations for each individual radiologist. This system could be tailored to fit the desires of individual radiologists.

  7. The Croton-Yorktown Model of Individualized Earth Science.

    ERIC Educational Resources Information Center

    Matthias, George F.; Snyder, Edward B.

    1980-01-01

    The individualized learning model, discussed in this article, uses an efficient feedback mechanism which incorporates an innovative student evaluation program and a unique system of classroom management. The design provides a model for monitoring student progress. (Author/SA)

  8. Privacy Act System of Records: Federal Lead-Based Paint Program System of Records, EPA-54

    EPA Pesticide Factsheets

    Learn about the Federal Lead-Based Paint Program System of Records (FLPPSOR), including the security classification, individuals covered by the system, categories of records, routine uses of the records, and other security procedures.

  9. An Integrated Learning Management System for Islamic Studies: An Innovation from Jordan

    ERIC Educational Resources Information Center

    Rumzan, Ismael; Chowdhury, Imran; Mirza, Saudah; Idil, Raidah Shah

    2010-01-01

    The use of ICT in the Middle East is expanding at a fast rate; hence managers and decision makers must decide on the best learning solution for their organizations. This article describes how a small team of individuals in Jordan developed an effective learning solution to a social problem. This may provide some useful lessons for other…

  10. Learning Resource Center at the Baraboo Campus of the University of Wisconsin Center System.

    ERIC Educational Resources Information Center

    Umhoefer, Aural

    The Learning Resource Center (LRC) at the Baraboo campus of the University of Wisconsin was designed to be an integral part of the teaching program, and to embody the multimedia approach to individual self-paced learning by using the most appropriate medium or combination of media for a given instructional situation. The collection includes books,…

  11. Affinity Spaces: How Young People Live and Learn on Line and out of School

    ERIC Educational Resources Information Center

    Gee, James Paul

    2018-01-01

    In the digital age, young people's most powerful learning opportunities often occur online, in experiences and environments created by people working outside of the K-12 school system. In a sense, the internet has given new life to an older, less formal approach to education, in which individuals seek out and learn from others who share their…

  12. "Making a difference" - Medical students' opportunities for transformational change in health care and learning through quality improvement projects.

    PubMed

    Bergh, Anne-Marie; Bac, Martin; Hugo, Jannie; Sandars, John

    2016-07-11

    Quality improvement is increasingly becoming an essential aspect of the medical curriculum, with the intention of improving the health care system to provide better health care. The aim of this study was to explore undergraduate medical students' experiences of their involvement in quality improvement projects during a district health rotation. Student group reports from rotations in learning centres of the University of Pretoria in Mpumalanga Province, South Africa were analysed for the period 2012 to 2015. Interviews were conducted with health care providers at four learning centres in 2013. Three main themes were identified: (1) 'Situated learning', describing students' exposure to the discrepancies between ideal and reality in a real-life situation and how they learned to deal with complex situations, individually and as student group; (2) 'Facing dilemmas', describing how students were challenged about the non-ideal reality; (3) 'Making a difference', describing the impact of the students' projects, with greater understanding of themselves and others through working in teams but also making a change in the health care system. Quality improvement projects can provide an opportunity for both the transformation of health care and for transformative learning, with individual and 'collective' self-authorship.

  13. Work-based learning: A training model for state wide system changes.

    PubMed

    Clay, Zakia; Barrett, Nora; Reilly, Ann; Zazzarino, Anthony

    2016-12-01

    Despite the substantial amount of money invested in staff training each year, many people trained fail to transfer what they learn to the workplace. We document a training initiative that was implemented to develop and maintain a competent workforce. A work-based learning (WBL) model was used as a guide to teach the knowledge and skills necessary to effectively deliver psychiatric rehabilitation services. This training framework afforded practitioners an opportunity to acquire the critical knowledge and skills to improve the quality of life for individuals living with serious mental illnesses. Preliminary pre and posttest results show an overall increase in practitioner knowledge. Additionally, individualized technical assistance has the potential to increase positive learning outcomes. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  14. Suitable Learning Styles for Intelligent Tutoring Technologies (Styles d’Apprentissage Appropries pour les Technologies Tuteurs Intelligents)

    DTIC Science & Technology

    2010-05-01

    mind, (ii) forms of mental self-government, and (iii) stylistic preferences. Importantly, Sternberg does not think that cognitive style...summarizes a study examining suitable cognitive and learning styles for intelligent tutoring technologies to improve the Canadian Forces (CF) distance...are the appropriate tool to address CF learning needs, as e-learning systems: • Cater to all individuals in the CF regardless of their cognitive or

  15. Intelligent Learning System using cognitive science theory and artificial intelligence methods

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Cristensen, D.L.

    1986-01-01

    This dissertation is a presentation of a theoretical model of an intelligent Learning System (ILS). The approach view intelligent computer-based instruction on a curricular-level and educational-theory base, instead of the conventional instructional-only level. The ILS is divided into two components: (1) macro-level, curricular; and (2) micro-level (MAIS), instructional. The primary purpose of the ILS macro level is to establish the initial conditions of learning by considering individual difference variables within specification of the curriculum content domain. Second, the ILS macro-level will iteratively update the conditions of learning as the individual student progresses through the given curriculum. The term dynamic ismore » used to describe the expert tutor that establishes and monitors the conditions of instruction between the ILS macro level and the micro level. As the student progresses through the instruction, appropriate information is sent back continuously to the macro level to constantly improve decision making for succeeding conditions of instruction.« less

  16. Individual Study in Undergraduate Science. Higher Education Learning Project (h.e.l.p.) - Physics.

    ERIC Educational Resources Information Center

    Ogborn, Jon, Ed.; And Others

    The bulk of this book consists of case studies of a variety of forms of individualized instruction, including Keller Plan courses. The last third of the book deals with the general aspects of using an individualized system of instruction. This portion contains many suggestions about the operational details of an individualized course. (Author/BB)

  17. Instant Feedback for Learner Training: Using Individual Assessment Cards.

    ERIC Educational Resources Information Center

    Lovelock, Clive

    2002-01-01

    Describes individual assessment cards devised by an English-as-a-Foreign-Language teacher in Japan. This system consists of giving each student her own individual assessment card at the beginning of each lesson. The focus of the information recorded on the card relates to the process of learning English. (Author/VWL)

  18. Don't Think, Just Feel the Music: Individuals with Strong Pavlovian-to-Instrumental Transfer Effects Rely Less on Model-based Reinforcement Learning.

    PubMed

    Sebold, Miriam; Schad, Daniel J; Nebe, Stephan; Garbusow, Maria; Jünger, Elisabeth; Kroemer, Nils B; Kathmann, Norbert; Zimmermann, Ulrich S; Smolka, Michael N; Rapp, Michael A; Heinz, Andreas; Huys, Quentin J M

    2016-07-01

    Behavioral choice can be characterized along two axes. One axis distinguishes reflexive, model-free systems that slowly accumulate values through experience and a model-based system that uses knowledge to reason prospectively. The second axis distinguishes Pavlovian valuation of stimuli from instrumental valuation of actions or stimulus-action pairs. This results in four values and many possible interactions between them, with important consequences for accounts of individual variation. We here explored whether individual variation along one axis was related to individual variation along the other. Specifically, we asked whether individuals' balance between model-based and model-free learning was related to their tendency to show Pavlovian interferences with instrumental decisions. In two independent samples with a total of 243 participants, Pavlovian-instrumental transfer effects were negatively correlated with the strength of model-based reasoning in a two-step task. This suggests a potential common underlying substrate predisposing individuals to both have strong Pavlovian interference and be less model-based and provides a framework within which to interpret the observation of both effects in addiction.

  19. Development of cyberblog-based intelligent tutorial system to improve students learning ability algorithm

    NASA Astrophysics Data System (ADS)

    Wahyudin; Riza, L. S.; Putro, B. L.

    2018-05-01

    E-learning as a learning activity conducted online by the students with the usual tools is favoured by students. The use of computer media in learning provides benefits that are not owned by other learning media that is the ability of computers to interact individually with students. But the weakness of many learning media is to assume that all students have a uniform ability, when in reality this is not the case. The concept of Intelligent Tutorial System (ITS) combined with cyberblog application can overcome the weaknesses in neglecting diversity. An Intelligent Tutorial System-based Cyberblog application (ITS) is a web-based interactive application program that implements artificial intelligence which can be used as a learning and evaluation media in the learning process. The use of ITS-based Cyberblog in learning is one of the alternative learning media that is interesting and able to help students in measuring ability in understanding the material. This research will be associated with the improvement of logical thinking ability (logical thinking) of students, especially in algorithm subjects.

  20. Implicit Perceptual-Motor Skill Learning in Mild Cognitive Impairment and Parkinson's Disease

    PubMed Central

    Gobel, Eric W.; Blomeke, Kelsey; Zadikoff, Cindy; Simuni, Tanya; Weintraub, Sandy; Reber, Paul J.

    2015-01-01

    Objective Implicit skill learning is hypothesized to depend on nondeclarative memory that operates independent of the medial temporal lobe (MTL) memory system and instead depends on cortico-striatal circuits between the basal ganglia and cortical areas supporting motor function and planning. Research with the Serial Reaction Time (SRT) task suggests that patients with memory-disorders due to MTL damage exhibit normal implicit sequence learning. However, reports of intact learning rely on observations of no group differences, leading to speculation whether implicit sequence learning is fully intact in these patients. Patients with Parkinson's Disease (PD) often exhibit impaired sequence learning, but this impairment is not universally observed. Method Implicit perceptual-motor sequence learning was examined using the Serial Interception Sequence Learning (SISL) task in patients with amnestic Mild Cognitive Impairment (MCI; n=11) and patients with PD (n=15). Sequence learning in SISL is resistant to explicit learning and individually adapted task difficulty controls for baseline performance differences. Results Patients with MCI exhibited robust sequence learning, equivalent to healthy older adults (n=20), supporting the hypothesis that the MTL does not contribute to learning in this task. In contrast, the majority of patients with PD exhibited no sequence-specific learning in spite of matched overall task performance. Two patients with PD exhibited performance indicative of an explicit compensatory strategy suggesting that impaired implicit learning may lead to greater reliance on explicit memory in some individuals. Conclusion The differences in learning between patient groups provides strong evidence in favor of implicit sequence learning depending solely on intact basal ganglia function with no contribution from the MTL memory system. PMID:23688213

  1. Patient source of learning about health technologies and ratings of trust in technologies used in their care

    PubMed Central

    Montague, Enid

    2011-01-01

    In order to design effective health technologies and systems, it is important to understand how patients learn and make decisions about health technologies used in their care. The objective of this study was to examine patients' source of learning about technologies used in their care and how the source related to their trust in the technology used. Individual face-to-face and telephone interviews were conducted with 24 patients. Thirteen unique sources of information about technology were identified and three major themes emerged; outside of the work system versus inside the work system, when the health information was provided, and the medium used. Patients used multiple sources outside of the health care work system to learn about technologies that will be used in their care. Results showed a relationship between learning about technologies from web sources and trust in technologies but no relationship between learning about technologies from health care providers and trust in technologies. PMID:20967654

  2. Consider the category: The effect of spacing depends on individual learning histories.

    PubMed

    Slone, Lauren K; Sandhofer, Catherine M

    2017-07-01

    The spacing effect refers to increased retention following learning instances that are spaced out in time compared with massed together in time. By one account, the advantages of spaced learning should be independent of task particulars and previous learning experiences given that spacing effects have been demonstrated in a variety of tasks across the lifespan. However, by another account, spaced learning should be affected by previous learning because past learning affects the memory and attention processes that form the crux of the spacing effect. The current study investigated whether individuals' learning histories affect the role of spacing in category learning. We examined the effect of spacing on 24 2- to 3.5-year-old children's learning of categories organized by properties to which children's previous learning experiences have biased them to attend (i.e., shape) and properties to which children are less biased to attend (i.e., texture and color). Spaced presentations led to significantly better learning of shape categories, but not of texture or color categories, compared with massed presentations. In addition, generalized estimating equations analyses revealed positive relations between the size of children's "shape-side" productive vocabularies and their shape category learning and between the size of children's "against-the-system" productive vocabularies and their texture category learning. These results suggest that children's attention to and memory for novel object categories are strongly related to their individual word-learning histories. Moreover, children's learned attentional biases affected the types of categories for which spacing facilitated learning. These findings highlight the importance of considering how learners' previous experiences may influence future learning. Copyright © 2017 Elsevier Inc. All rights reserved.

  3. Understanding Dyscalculia for Teaching

    ERIC Educational Resources Information Center

    Vaidya, Sheila Rao

    2004-01-01

    Dyscalculia, a poor understanding of the number concept and the number system, is a learning problem affecting many individuals. However, less is known about this disability than about the reading disability, dyslexia, because society accepts learning problems in mathematics as quite normal. This article provides a summary of the research on…

  4. Learning Disabilities. Final Report.

    ERIC Educational Resources Information Center

    Delaware State Dept. of Education, Dover.

    This report responds to Delaware state legislation requiring the development of proposed revised regulations for the classification of students as learning disabled (LD). The report first describes the current system, noting that in 1997 15 percent of the student population were served under the Individuals with Disabilities Education Act and over…

  5. Cognitive Load Measurement in a Virtual Reality-based Driving System for Autism Intervention

    PubMed Central

    Zhang, Lian; Wade, Joshua; Bian, Dayi; Fan, Jing; Swanson, Amy; Weitlauf, Amy; Warren, Zachary; Sarkar, Nilanjan

    2016-01-01

    Autism Spectrum Disorder (ASD) is a highly prevalent neurodevelopmental disorder with enormous individual and social cost. In this paper, a novel virtual reality (VR)-based driving system was introduced to teach driving skills to adolescents with ASD. This driving system is capable of gathering eye gaze, electroencephalography, and peripheral physiology data in addition to driving performance data. The objective of this paper is to fuse multimodal information to measure cognitive load during driving such that driving tasks can be individualized for optimal skill learning. Individualization of ASD intervention is an important criterion due to the spectrum nature of the disorder. Twenty adolescents with ASD participated in our study and the data collected were used for systematic feature extraction and classification of cognitive loads based on five well-known machine learning methods. Subsequently, three information fusion schemes—feature level fusion, decision level fusion and hybrid level fusion—were explored. Results indicate that multimodal information fusion can be used to measure cognitive load with high accuracy. Such a mechanism is essential since it will allow individualization of driving skill training based on cognitive load, which will facilitate acceptance of this driving system for clinical use and eventual commercialization. PMID:28966730

  6. Cognitive Load Measurement in a Virtual Reality-based Driving System for Autism Intervention.

    PubMed

    Zhang, Lian; Wade, Joshua; Bian, Dayi; Fan, Jing; Swanson, Amy; Weitlauf, Amy; Warren, Zachary; Sarkar, Nilanjan

    2017-01-01

    Autism Spectrum Disorder (ASD) is a highly prevalent neurodevelopmental disorder with enormous individual and social cost. In this paper, a novel virtual reality (VR)-based driving system was introduced to teach driving skills to adolescents with ASD. This driving system is capable of gathering eye gaze, electroencephalography, and peripheral physiology data in addition to driving performance data. The objective of this paper is to fuse multimodal information to measure cognitive load during driving such that driving tasks can be individualized for optimal skill learning. Individualization of ASD intervention is an important criterion due to the spectrum nature of the disorder. Twenty adolescents with ASD participated in our study and the data collected were used for systematic feature extraction and classification of cognitive loads based on five well-known machine learning methods. Subsequently, three information fusion schemes-feature level fusion, decision level fusion and hybrid level fusion-were explored. Results indicate that multimodal information fusion can be used to measure cognitive load with high accuracy. Such a mechanism is essential since it will allow individualization of driving skill training based on cognitive load, which will facilitate acceptance of this driving system for clinical use and eventual commercialization.

  7. Mountain Plains Learning Experience Guide: Automotive Repair. Course: Electrical Systems.

    ERIC Educational Resources Information Center

    Schramm, C.; Osland, Walt

    One of twelve individualized courses included in an automotive repair curriculum, this course covers the theory, diagnosis, repair, and adjustment of automotive electrical systems. The course is comprised of six units: (1) Fundamentals of Electrical Systems, (2) Battery Servicing, (3) Starting Systems, (4) Charging Systems, (5) Ignition Systems,…

  8. Capturing the Complexity: Content, Type, and Amount of Instruction and Quality of the Classroom Learning Environment Synergistically Predict Third Graders' Vocabulary and Reading Comprehension Outcomes

    ERIC Educational Resources Information Center

    Connor, Carol McDonald; Spencer, Mercedes; Day, Stephanie L.; Giuliani, Sarah; Ingebrand, Sarah W.; McLean, Leigh; Morrison, Frederick J.

    2014-01-01

    We examined classrooms as complex systems that affect students' literacy learning through interacting effects of content and amount of time individual students spent in literacy instruction along with the global quality of the classroom learning environment. We observed 27 3rd-grade classrooms serving 315 target students using 2 different…

  9. Constructive and problem-based learning using blended learning anchored instruction approaches

    NASA Astrophysics Data System (ADS)

    Mayer, M.

    2012-04-01

    Based on an anchored instruction approach, an enriched blended learning lecture course ("Introduction into GNSS positioning") was established in order to enable constructive and problem-based learning. The lecture course "Introduction into GNSS positioning" is a compulsory part of the Bachelor study course "Geodesy and Geoinformatics" and also a supplementary module of the Bachelor study course "Geophysics". Within the lecture course, basic knowledge and basic principles of Global Navigation Satellite Systems, like GPS, are imparted. The presented higher education technique "anchored instruction" uses a real and up-to-date and therefore authentic scientific paper dealing with a recent large-scale geodetic project (Fehmarn Belt Fixed Link) in order to introduce the topic of GNSS-based positioning to the students. In the beginning of the semester, the students have to read the paper individually and carefully. This enables them to realize a lot of not-known GNSS-related facts. Therefore, questions can be formulated focusing on new, unclear or not-understood aspects of the paper. The lecture course deals with these questions, in order to answer them throughout the semester. During the lecture course this paper is referred, e.g., in the middle of the semester, the paper has to be read again in order to check which questions have been answered; in addition, new question arise. At the end of the lecture course, the author of the scientific paper gave a concluding lecture. The framing anchor technique enables the students to anchor their GNSS knowledge. The presented case study uses a teaching resp. learning setting consisting of classroom lectures (given by teachers and learners), practical trainings (e.g., field exercises, students select topics individually), and online lectures (learning management system ILIAS is used as data, result, and asynchronous communication platform). The implementation and the elements of the anchoring technique, which enables student-centered, cooperative, and individual learning, are going to be discussed in detail. A special focus of the presentation is on work assignments, time schedule, and work load. The anchor technique is applied within a blended learning teaching concept, therefore the role of the learning management system ILIAS will be treated as well.

  10. Action observation versus motor imagery in learning a complex motor task: a short review of literature and a kinematics study.

    PubMed

    Gatti, R; Tettamanti, A; Gough, P M; Riboldi, E; Marinoni, L; Buccino, G

    2013-04-12

    Both motor imagery and action observation have been shown to play a role in learning or re-learning complex motor tasks. According to a well accepted view they share a common neurophysiological basis in the mirror neuron system. Neurons within this system discharge when individuals perform a specific action and when they look at another individual performing the same or a motorically related action. In the present paper, after a short review of literature on the role of action observation and motor imagery in motor learning, we report the results of a kinematics study where we directly compared motor imagery and action observation in learning a novel complex motor task. This involved movement of the right hand and foot in the same angular direction (in-phase movement), while at the same time moving the left hand and foot in an opposite angular direction (anti-phase movement), all at a frequency of 1Hz. Motor learning was assessed through kinematics recording of wrists and ankles. The results showed that action observation is better than motor imagery as a strategy for learning a novel complex motor task, at least in the fast early phase of motor learning. We forward that these results may have important implications in educational activities, sport training and neurorehabilitation. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

  11. Enhanced procedural learning of speech sound categories in a genetic variant of FOXP2.

    PubMed

    Chandrasekaran, Bharath; Yi, Han-Gyol; Blanco, Nathaniel J; McGeary, John E; Maddox, W Todd

    2015-05-20

    A mutation of the forkhead box protein P2 (FOXP2) gene is associated with severe deficits in human speech and language acquisition. In rodents, the humanized form of FOXP2 promotes faster switching from declarative to procedural learning strategies when the two learning systems compete. Here, we examined a polymorphism of FOXP2 (rs6980093) in humans (214 adults; 111 females) for associations with non-native speech category learning success. Neurocomputational modeling results showed that individuals with the GG genotype shifted faster to procedural learning strategies, which are optimal for the task. These findings support an adaptive role for the FOXP2 gene in modulating the function of neural learning systems that have a direct bearing on human speech category learning. Copyright © 2015 the authors 0270-6474/15/357808-05$15.00/0.

  12. New Learning - The IPP Programme: Improvements in Learning and Self Esteem by Changing the Organization of Learning

    NASA Astrophysics Data System (ADS)

    Garber, Klaus; Ausserer, Oskar; Giacomuzzi, Salvatore

    "New learning" is basically an individualized learning style. "New learning" starts by the individual itself. The individual is the basis for conditions, learning contents, rhythm, duration and intensity of the teaching. The appropriate slogan is: fetch the individual at his personal conditions.

  13. Harmony in Career Learning and Scholastic System (Project HI-CLASS). Transitional Bilingual Education, 1991-92. Final Evaluation Profile. OREA Report.

    ERIC Educational Resources Information Center

    Angelina, Edward; Duque, Diana L.

    An evaluation was done of the first year of a 2-year renewal program at three high schools in New York City, Harmony in Career Learning and Scholastic System (Project HI-CLASS), designed to provide support services to students of limited English proficiency (LEP). The project proposed to provide individualized instruction focusing on basic skills,…

  14. Our Deming Users' Group.

    ERIC Educational Resources Information Center

    Dinklocker, Christina

    1992-01-01

    After training in the Total Quality Management concept, a suburban Ohio school district created a Deming Users' Group to link agencies, individuals, and ideas. The group has facilitated ongoing school/business collaboration, networking among individuals from diverse school systems, mentoring and cooperative learning activities, and resource…

  15. Comparing Three Innovative Instructional Systems.

    ERIC Educational Resources Information Center

    Dunn, Rita; Waggoner, Barbara

    1995-01-01

    Examines the differences between three instructional systems: learning styles, neuro-linguistic programming, and "Suggestopoedia." Topics include the philosophical basis of each system; teaching methodologies; the use of multimedia; the use of time; environmental settings; and approaches to human emotion, individual sociological differences, and…

  16. Knowledge acquisition and learning process description in context of e-learning

    NASA Astrophysics Data System (ADS)

    Kiselev, B. G.; Yakutenko, V. A.; Yuriev, M. A.

    2017-01-01

    This paper investigates the problem of design of e-learning and MOOC systems. It describes instructional design-based approaches to e-learning systems design: IMS Learning Design, MISA and TELOS. To solve this problem we present Knowledge Field of Educational Environment with Competence boundary conditions - instructional engineering method for self-learning systems design. It is based on the simplified TELOS approach and enables a user to create their individual learning path by choosing prerequisite and target competencies. The paper provides the ontology model for the described instructional engineering method, real life use cases and the classification of the presented model. Ontology model consists of 13 classes and 15 properties. Some of them are inherited from Knowledge Field of Educational Environment and some are new and describe competence boundary conditions and knowledge validation objects. Ontology model uses logical constraints and is described using OWL 2 standard. To give TELOS users better understanding of our approach we list mapping between TELOS and KFEEC.

  17. Multidimensional Learner Model In Intelligent Learning System

    NASA Astrophysics Data System (ADS)

    Deliyska, B.; Rozeva, A.

    2009-11-01

    The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.

  18. Aspects of the Teaching of Russian.

    ERIC Educational Resources Information Center

    Baker, Robert L.

    The process of learning Russian should be no more difficult than the process of learning other languages although it may take somewhat longer. The phonetic system should not present major difficulties with respect to individual sounds, but intonation may be difficult because Russian pitch patterns represent different intentions and emotions than…

  19. Use of the Dichotic Listening Technique with Learning Disabilities

    ERIC Educational Resources Information Center

    Obrzut, John E.; Mahoney, Emery B.

    2011-01-01

    Dichotic listening (DL) techniques have been used extensively as a non-invasive procedure to assess language lateralization among children with and without learning disabilities (LD), and with individuals who have other auditory system related brain disorders. Results of studies using DL have indicated that language is lateralized in children with…

  20. Effects of Different Student Response Modes on Science Learning

    ERIC Educational Resources Information Center

    Kho, Lee Sze; Chen, Chwen Jen

    2017-01-01

    Student response systems (SRSs) are wireless answering devices that enable students to provide simple real-time feedback to instructors. This study aims to evaluate the effects of different SRS interaction modes on elementary school students' science learning. Three interaction modes which include SRS Individual, SRS Collaborative, and Classroom…

  1. Module Eleven: Capacitance; Basic Electricity and Electronics Individualized Learning System.

    ERIC Educational Resources Information Center

    Bureau of Naval Personnel, Washington, DC.

    In this module the student will learn about another circuit quantity, capacitance, and discover the effects of this component on circuit current, voltage, and power. The module is divided into seven lessons: the capacitor, theory of capacitance, total capacitance, RC (resistive-capacitive circuit) time constant, capacitive reactance, phase and…

  2. Learning Activity Package, Physical Science. LAP Numbers 1, 2, 3, and 4.

    ERIC Educational Resources Information Center

    Williams, G. J.

    These four units of the Learning Activity Packages (LAPs) for individualized instruction in physical science cover measuring techniques, operations of instruments, metric system heat, matter, energy, elements, atomic numbers, isotopes, molecules, mixtures, compounds, physical and chemical properties, liquids, solids, and gases. Each unit contains…

  3. On the Performance of Self-Directed Learning within the French Continuing Vocational Training System.

    ERIC Educational Resources Information Center

    Dif, M'Hamed

    Continuing vocational training (CVT) was officially introduced and codified in France in 1971 to promote individuals' employability, career development, and job flexibility. Self-directed learning was initially considered among the most important instruments for its implementation in addition to employer-directed CVT. Despite increased and…

  4. It's All about Student Learning: Assessing Teacher Candidates' Ability to Impact P-12 Students

    ERIC Educational Resources Information Center

    Wise, A. E., Ed.; Ehrenberg, P., Ed.; Leibbrand, J., Ed.

    2010-01-01

    "It's All About Student Learning Assessing Teacher Candidates' Ability to Impact P-12 Students", provides practical assistance for institutions designing or revising assessment systems or individual assessments for use by units or programs. The publication includes performance assessments currently used by teacher preparation institutions and…

  5. Integrating an Information Literacy Quiz into the Learning Management System

    ERIC Educational Resources Information Center

    Lowe, M. Sara; Booth, Char; Tagge, Natalie; Stone, Sean

    2014-01-01

    The Claremont Colleges Library Instruction Services Department developed a quiz that could be integrated into the consortial learning management software to accompany a local online, open-source information literacy tutorial. The quiz is integrated into individual course pages, allowing students to receive a grade for completion and improving…

  6. The Cross-Cultural Study of Language Acquisition.

    ERIC Educational Resources Information Center

    Heath, Shirley Brice

    1985-01-01

    One approach to studying the nature of diverse speech exchange systems across sociocultural groups starts from the premise that all learning is cultural learning, and that language socialization is the way individuals become members of both their primary speech community and their secondary speech communities. Researchers must recognize that the…

  7. Dynamical Systems Theory: Application to Pedagogy

    NASA Astrophysics Data System (ADS)

    Abraham, Jane L.

    Theories of learning affect how cognition is viewed, and this subsequently leads to the style of pedagogical practice that is used in education. Traditionally, educators have relied on a variety of theories on which to base pedagogy. Behavioral learning theories influenced the teaching/learning process for over 50 years. In the 1960s, the information processing approach brought the mind back into the learning process. The current emphasis on constructivism integrates the views of Piaget, Vygotsky, and cognitive psychology. Additionally, recent scientific advances have allowed researchers to shift attention to biological processes in cognition. The problem is that these theories do not provide an integrated approach to understanding principles responsible for differences among students in cognitive development and learning ability. Dynamical systems theory offers a unifying theoretical framework to explain the wider context in which learning takes place and the processes involved in individual learning. This paper describes how principles of Dynamic Systems Theory can be applied to cognitive processes of students, the classroom community, motivation to learn, and the teaching/learning dynamic giving educational psychologists a framework for research and pedagogy.

  8. A nursing theory of personal system empathy: interpreting a conceptualization of empathy in King's interacting systems.

    PubMed

    Alligood, M R; May, B A

    2000-07-01

    This article presents a theory of empathy discovered through rational hermeneutic interpretation within King's personal system. Personal system concepts from King's general systems framework include perception, self, growth and development, body image, space, time, and learning. Propositions for each concept in the personal system were explicated and a theory of nursing empathy was developed. This nursing theory proposes that empathy organizes perceptions; facilitates awareness of self and others; increases sensitivity; promotes shared respect, mutual goals, and social awareness; cultivates understanding of individuals within a historical and social context; and affects learning.

  9. Experimental Evaluation of Performance Feedback Using the Dismounted Infantry Virtual After Action Review System. Long Range Navy and Marine Corps Science and Technology Program

    DTIC Science & Technology

    2007-11-14

    Artificial intelligence and 4 23 education , Volume 1: Learning environments and tutoring systems. Hillsdale, NJ: Erlbaum. Wickens, C.D. (1984). Processing...and how to use it to best optimize the learning process. Some researchers (see Loftin & Savely, 1991) have proposed adding intelligent systems to the...is experienced as the cognitive centers in an individual’s brain process visual, tactile, kinesthetic , olfactory, proprioceptive, and auditory

  10. Development of Intelligent Computer-Assisted Instruction Systems to Facilitate Reading Skills of Learning-Disabled Children

    DTIC Science & Technology

    1993-12-01

    Unclassified/Unlimited 13. ABSTRACT ~Maximum 2W0 worr*J The purpose of this thesis is to develop a high-level model to create seli"adapting software which...Department of Computer Science ABSTRACT The purpose of this thesis is to develop a high-level model to create self-adapting software which teaches learning...stimulating and demanding. The power of the system model described herein is that it can vary as needed by the individual student. The system will

  11. Sensorimotor Learning: Neurocognitive Mechanisms and Individual Differences.

    PubMed

    Seidler, R D; Carson, R G

    2017-07-13

    Here we provide an overview of findings and viewpoints on the mechanisms of sensorimotor learning presented at the 2016 Biomechanics and Neural Control of Movement (BANCOM) conference in Deer Creek, OH. This field has shown substantial growth in the past couple of decades. For example it is now well accepted that neural systems outside of primary motor pathways play a role in learning. Frontoparietal and anterior cingulate networks contribute to sensorimotor adaptation, reflecting strategic aspects of exploration and learning. Longer term training results in functional and morphological changes in primary motor and somatosensory cortices. Interestingly, re-engagement of strategic processes once a skill has become well learned may disrupt performance. Efforts to predict individual differences in learning rate have enhanced our understanding of the neural, behavioral, and genetic factors underlying skilled human performance. Access to genomic analyses has dramatically increased over the past several years. This has enhanced our understanding of cellular processes underlying the expression of human behavior, including involvement of various neurotransmitters, receptors, and enzymes. Surprisingly our field has been slow to adopt such approaches in studying neural control, although this work does require much larger sample sizes than are typically used to investigate skill learning. We advocate that individual differences approaches can lead to new insights into human sensorimotor performance. Moreover, a greater understanding of the factors underlying the wide range of performance capabilities seen across individuals can promote personalized medicine and refinement of rehabilitation strategies, which stand to be more effective than "one size fits all" treatments.

  12. Personal Food System Mapping

    ERIC Educational Resources Information Center

    Wilsey, David; Dover, Sally

    2014-01-01

    Personal food system mapping is a practical means to engage community participants and educators in individualized and shared learning about food systems, decisions, and behaviors. Moreover, it is a useful approach for introducing the food system concept, which is somewhat abstract. We developed the approach to capture diversity of personal food…

  13. Concentrated photovoltaics system costs and learning curve analysis

    NASA Astrophysics Data System (ADS)

    Haysom, Joan E.; Jafarieh, Omid; Anis, Hanan; Hinzer, Karin

    2013-09-01

    An extensive set of costs in /W for the installed costs of CPV systems has been amassed from a range of public sources, including both individual company prices and market reports. Cost reductions over time are very evident, with current prices for 2012 in the range of 3.0 ± 0.7 /W and a predicted cost of 1.5 /W for 2020. Cost data is combined with deployment volumes in a learning curve analysis, providing a fitted learning rate of either 18.5% or 22.3% depending on the methodology. This learning rate is compared to that of PV modules and PV installed systems, and the influence of soft costs is discussed. Finally, if an annual growth rate of 39% is assumed for deployed volumes, then, using the learning rate of 20%, this would predict the achievement of a cost point of 1.5 /W by 2016.

  14. Increasing participation of people with learning disabilities in bowel screening.

    PubMed

    Gray, Jonathan

    2018-03-08

    Learning disability nurses have a key role in addressing the health inequalities experienced by people with learning disabilities. People with learning disabilities are less likely to participate in bowel screening than other sectors of the population, despite there being evidence of this population being at an increased risk of developing bowel cancer. There are a range of barriers at individual and systemic levels that impact on participation in bowel screening by people with learning disabilities. Actions to address these barriers have been identified in the literature and learning disability nurses are a key agent of change in enabling people with learning disabilities to participate in the national screening programmes.

  15. eLearning in education and advanced training in neuroradiology: introduction of a web-based teaching and learning application.

    PubMed

    Zajaczek, J E W; Götz, F; Kupka, T; Behrends, M; Haubitz, B; Donnerstag, F; Rodt, T; Walter, G F; Matthies, H K; Becker, H

    2006-09-01

    New information technologies offer the possibility of major improvements in the professional education and advanced training of physicians. The web-based, multimedia teaching and learning application Schoolbook has been created and utilized for neuroradiology. Schoolbook is technically based as a content management system and is realized in a LAMP environment. The content is generated with the help of the developed system and stored in a database. The layout is defined by a PHP application, and the webpages are generated from the system. Schoolbook is realized as an authoring tool so that it can be integrated into daily practice. This enables the teacher to autonomously process the content into the web-based application which is used for lectures, seminars and self-study. A multimedia case library is the central building block of Schoolbook for neuroradiology, whereby the learner is provided with original diagnostic and therapeutic data from numerous individual cases. The user can put individual emphasis on key learning points as there are various ways to work with the case histories. Besides the case-based way of teaching and learning, a systematically structured way of dealing with the content is available. eLearning offers various opportunities for teaching and learning in academic and scientific as well as in economic contexts. Web-based applications such as Schoolbook may be beneficial not only for basic university education but also for the realization of international educational programmes such as the European Master of Medical Science with a major in neuroradiology.

  16. Acquiring and Producing Sentences: Whether Learners Use Verb-Specific or Verb-General Information Depends on Cue Validity

    PubMed Central

    Thothathiri, Malathi; Rattinger, Michelle G.

    2016-01-01

    Learning to produce sentences involves learning patterns that enable the generation of new utterances. Language contains both verb-specific and verb-general regularities that are relevant to this capacity. Previous research has focused on whether one source is more important than the other. We tested whether the production system can flexibly learn to use either source, depending on the predictive validity of different cues in the input. Participants learned new sentence structures in a miniature language paradigm. In three experiments, we manipulated whether individual verbs or verb-general mappings better predicted the structures heard during learning. Evaluation of participants’ subsequent production revealed that they could use either the structural preferences of individual verbs or abstract meaning-to-form mappings to construct new sentences. Further, this choice varied according to cue validity. These results demonstrate flexibility within the production architecture and the importance of considering how language was learned when discussing how language is used. PMID:27047428

  17. Early Foundations for Mathematics Learning and Their Relations to Learning Disabilities.

    PubMed

    Geary, David C

    2013-02-01

    Children's quantitative competencies upon entry into school can have lifelong consequences. Children who start behind generally stay behind, and mathematical skills at school completion influence employment prospects and wages in adulthood. I review the current debate over whether early quantitative learning is supported by (a) an inherent system for representing approximate magnitudes, (b) an attentional-control system that enables explicit processing of quantitative symbols, such as Arabic numerals, or (c) the logical problem-solving abilities that facilitate learning of the relations among numerals. Studies of children with mathematical learning disabilities and difficulties have suggested that each of these competencies may be involved, but to different degrees and at different points in the learning process. Clarifying how and when these competencies facilitate early quantitative learning and developing interventions to address their impact on children have the potential to yield substantial benefits for individuals and for society.

  18. A Systemic Integration of Technology for New-Paradigm Education

    ERIC Educational Resources Information Center

    Watson, William R.; Watson, Sunnie Lee; Reigeluth, Charles M.

    2012-01-01

    Educational reform efforts have failed to create widespread improvement. The authors argue that rather than trying to improve the existing system of education, a new learner-centered paradigm is needed that supports individualized learning. Such a significantly different system of education will require the systemic application of technology to…

  19. The Impact of Pictorial Display on Operator Learning and Performance. M.S. Thesis

    NASA Technical Reports Server (NTRS)

    Miller, R. A.; Messing, L. J.; Jagacinski, R. J.

    1984-01-01

    The effects of pictorially displayed information on human learning and performance of a simple control task were investigated. The controlled system was a harmonic oscillator and the system response was displayed to subjects as either an animated pendulum or a horizontally moving dot. Results indicated that the pendulum display did not effect performance scores but did significantly effect the learning processes of individual operators. The subjects with the pendulum display demonstrated more vertical internal models early in the experiment and the manner in which their internal models were tuned with practice showed increased variability between subjects.

  20. State of Digital Education Options in the areas of Medical Terminology and the History, Theory and Ethics of Medicine

    PubMed Central

    Schochow, Maximilian; Steger, Florian

    2015-01-01

    Background: Institutes of the history of medicine, the theory of medicine, and medical ethics at German institutions of higher learning have created various e-learning options that are based on different learning platforms and tailored to the specific curricular needs of individual teaching. Up to now no valid data has been available about the types of such e-learning options as well as possibilities of future developments thanks to coordinated cooperation among the different institutes. Methods: Of 31 German institutes of the history and theory of medicine and medical ethics that were asked to fill out a questionnaire, 30 answered, which equals a return rate of 97 per cent. The questionnaire was completed between July and August 2012 using a telephone survey. Results: Available to students online, digitally interactive teaching tools have boomed in the course of the last few years at German institutes of the history of medicine, the theory of medicine, and medical ethics. This trend is also reflected in a willingness of more than half of the respective departments (67 per cent) to expand their e-learning options on the basis of previous experience. The offered e-learning systems are accepted very well by the students. 57 per cent of the institutes stated, that 90-100 per cent of the students use the offered systems regularly. E-learning courses for terminology are offered particularly often, this is also reflected in the intended extension of these courses by the majority of institutes which plan to expand their e-learning systems. Conclusions: This article discusses the results of a comprehensive empirical survey about e-learning. It illustrates ways in which individual German institutes plan to expand their e-learning options in the future. Finally, specific proposals for cooperation among institutions (not just online) are introduced, the purpose of which is to produce synergy in e-learning. PMID:26038682

  1. State of Digital Education Options in the areas of Medical Terminology and the History, Theory and Ethics of Medicine.

    PubMed

    Schochow, Maximilian; Steger, Florian

    2015-01-01

    Institutes of the history of medicine, the theory of medicine, and medical ethics at German institutions of higher learning have created various e-learning options that are based on different learning platforms and tailored to the specific curricular needs of individual teaching. Up to now no valid data has been available about the types of such e-learning options as well as possibilities of future developments thanks to coordinated cooperation among the different institutes. Of 31 German institutes of the history and theory of medicine and medical ethics that were asked to fill out a questionnaire, 30 answered, which equals a return rate of 97 per cent. The questionnaire was completed between July and August 2012 using a telephone survey. Available to students online, digitally interactive teaching tools have boomed in the course of the last few years at German institutes of the history of medicine, the theory of medicine, and medical ethics. This trend is also reflected in a willingness of more than half of the respective departments (67 per cent) to expand their e-learning options on the basis of previous experience. The offered e-learning systems are accepted very well by the students. 57 per cent of the institutes stated, that 90-100 per cent of the students use the offered systems regularly. E-learning courses for terminology are offered particularly often, this is also reflected in the intended extension of these courses by the majority of institutes which plan to expand their e-learning systems. This article discusses the results of a comprehensive empirical survey about e-learning. It illustrates ways in which individual German institutes plan to expand their e-learning options in the future. Finally, specific proposals for cooperation among institutions (not just online) are introduced, the purpose of which is to produce synergy in e-learning.

  2. Recommender System for Learning SQL Using Hints

    ERIC Educational Resources Information Center

    Lavbic, Dejan; Matek, Tadej; Zrnec, Aljaž

    2017-01-01

    Today's software industry requires individuals who are proficient in as many programming languages as possible. Structured query language (SQL), as an adopted standard, is no exception, as it is the most widely used query language to retrieve and manipulate data. However, the process of learning SQL turns out to be challenging. The need for a…

  3. The Effects of Looping in the Cuban Classroom: Teacher Perception and Academic Achievement

    ERIC Educational Resources Information Center

    Pickett, Gabriela

    2016-01-01

    The system of public education in the United States lacks responsiveness to differing maturation rates and learning styles of young children. U.S. public education focuses more on satisfying governmental mandates and a common curriculum measured through standardized tests than on addressing the individual learning needs of each student.…

  4. Assessment of In-Service Training Activities for Junior High Mathematics Teachers

    ERIC Educational Resources Information Center

    Izci, Eyup; Göktas, Özlem

    2017-01-01

    The current education system aimed to train active deliberative individuals who learn to learn with the adoption of the constructivist educational approach. Based on this objective, there have been significant changes in the roles of teachers. To assist the development of teachers, the Ministry of Education organizes several in-service training…

  5. Developing "Reflective" Development Practitioners through an Action-Learning Curriculum: Problems and Challenges in a South African Context.

    ERIC Educational Resources Information Center

    Luckett, S.; Luckett, K.

    1999-01-01

    A South African university's community development program attempted to integrate Checkland's soft-systems method into Kolb's learning-cycle theory. Evaluation revealed shortcomings in the curriculum design, including the assumption of learner autonomy, necessity of assessing students individually, and difficulty of allowing learners to construct…

  6. Bridging Learning Opportunities: AMTEC '93 Conference Proceedings (Windsor, Ontario, Canada, June 14-16, 1993).

    ERIC Educational Resources Information Center

    Selby, Stuart, Ed.; Marzotto, Esio, Ed.

    The bridging theme of the AMTEC'93 conference provided the stimulation to look beyond traditional boundaries: across international borders; across levels of disciplines and school systems; across social differences and across individual differences. These bridges can help make learning more effective, as can attention to related contemporary…

  7. A Method to Improve Learning Analysing Communication in Team Working

    ERIC Educational Resources Information Center

    Bermejo, Miren; Sanchez, Ana; Gutierrez, Julian; Perez, Tomas A.

    2011-01-01

    In recent years learning how to work in teams has become a common subject in higher education. Communication between student team members can be monitored using a bulletin board system, and hence, analyse individual and group role development. The composition and distribution of roles in a team are relevant characteristics that will considerably…

  8. Continuing Education for Texas: Special Studies of Non-Traditional Approaches to Education.

    ERIC Educational Resources Information Center

    Neidhart, Anthony C., Ed.

    The report presents 13 studies, undertaken by Texas institutions of higher learning, responding to educational needs for improved delivery systems of higher education services to adults, and adult continuing education programs. The individual studies are: The Urban University and the Learning Society (J. E. Champagne, R. Hopper, B. Leaman); The…

  9. Learning Qualitative and Quantitative Reasoning in a Microworld for Elastic Impacts.

    ERIC Educational Resources Information Center

    Ploetzner, Rolf; And Others

    1990-01-01

    Discusses the artificial-intelligence-based microworld DiBi and MULEDS, a multilevel diagnosis system. Developed to adapt tutoring style to the individual learner. Explains that DiBi sets up a learning environment, and simulates elastic impacts as a subtopic of classical mechanics, and supporting reasoning on different levels of mental domain…

  10. Analysis and Visualization of Relations in eLearning

    NASA Astrophysics Data System (ADS)

    Dráždilová, Pavla; Obadi, Gamila; Slaninová, Kateřina; Martinovič, Jan; Snášel, Václav

    The popularity of eLearning systems is growing rapidly; this growth is enabled by the consecutive development in Internet and multimedia technologies. Web-based education became wide spread in the past few years. Various types of learning management systems facilitate development of Web-based courses. Users of these courses form social networks through the different activities performed by them. This chapter focuses on searching the latent social networks in eLearning systems data. These data consist of students activity records wherein latent ties among actors are embedded. The social network studied in this chapter is represented by groups of students who have similar contacts and interact in similar social circles. Different methods of data clustering analysis can be applied to these groups, and the findings show the existence of latent ties among the group members. The second part of this chapter focuses on social network visualization. Graphical representation of social network can describe its structure very efficiently. It can enable social network analysts to determine the network degree of connectivity. Analysts can easily determine individuals with a small or large amount of relationships as well as the amount of independent groups in a given network. When applied to the field of eLearning, data visualization simplifies the process of monitoring the study activities of individuals or groups, as well as the planning of educational curriculum, the evaluation of study processes, etc.

  11. Mountain Plains Learning Experience Guide: Heating, Refrigeration, & Air Conditioning.

    ERIC Educational Resources Information Center

    Carey, John

    This Heating, Refrigeration, and Air Conditioning course is comprised of eleven individualized units: (1) Refrigeration Tools, Materials, and Refrigerant; (2) Basic Heating and Air Conditioning; (3) Sealed System Repairs; (4) Basic Refrigeration Systems; (5) Compression Systems and Compressors; (6) Refrigeration Controls; (7) Electric Circuit…

  12. Privacy Impact Assessment for the PC Label System

    EPA Pesticide Factsheets

    The PC Label System collects contact information for individuals with an interest in EPA's Region 1. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies

  13. Automating Individualized Formative Feedback in Large Classes Based on a Directed Concept Graph

    PubMed Central

    Schaffer, Henry E.; Young, Karen R.; Ligon, Emily W.; Chapman, Diane D.

    2017-01-01

    Student learning outcomes within courses form the basis for course completion and time-to-graduation statistics, which are of great importance in education, particularly higher education. Budget pressures have led to large classes in which student-to-instructor interaction is very limited. Most of the current efforts to improve student progress in large classes, such as “learning analytics,” (LA) focus on the aspects of student behavior that are found in the logs of Learning Management Systems (LMS), for example, frequency of signing in, time spent on each page, and grades. These are important, but are distant from providing help to the student making insufficient progress in a course. We describe a computer analytical methodology which includes a dissection of the concepts in the course, expressed as a directed graph, that are applied to test questions, and uses performance on these questions to provide formative feedback to each student in any course format: face-to-face, blended, flipped, or online. Each student receives individualized assistance in a scalable and affordable manner. It works with any class delivery technology, textbook, and learning management system. PMID:28293202

  14. Auditory temporal perceptual learning and transfer in Chinese-speaking children with developmental dyslexia.

    PubMed

    Zhang, Manli; Xie, Weiyi; Xu, Yanzhi; Meng, Xiangzhi

    2018-03-01

    Perceptual learning refers to the improvement of perceptual performance as a function of training. Recent studies found that auditory perceptual learning may improve phonological skills in individuals with developmental dyslexia in alphabetic writing system. However, whether auditory perceptual learning could also benefit the reading skills of those learning the Chinese logographic writing system is, as yet, unknown. The current study aimed to investigate the remediation effect of auditory temporal perceptual learning on Mandarin-speaking school children with developmental dyslexia. Thirty children with dyslexia were screened from a large pool of students in 3th-5th grades. They completed a series of pretests and then were assigned to either a non-training control group or a training group. The training group worked on a pure tone duration discrimination task for 7 sessions over 2 weeks with thirty minutes per session. Post-tests immediately after training and a follow-up test 2 months later were conducted. Analyses revealed a significant training effect in the training group relative to non-training group, as well as near transfer to the temporal interval discrimination task and far transfer to phonological awareness, character recognition and reading fluency. Importantly, the training effect and all the transfer effects were stable at the 2-month follow-up session. Further analyses found that a significant correlation between character recognition performance and learning rate mainly existed in the slow learning phase, the consolidation stage of perceptual learning, and this effect was modulated by an individuals' executive function. These findings indicate that adaptive auditory temporal perceptual learning can lead to learning and transfer effects on reading performance, and shed further light on the potential role of basic perceptual learning in the remediation and prevention of developmental dyslexia. Copyright © 2018 Elsevier Ltd. All rights reserved.

  15. Is There a Relationship between Individual Learning, Team Learning, and Organizational Learning?

    ERIC Educational Resources Information Center

    Tanyaovalaksna, Sumeth; Li, Xiaobin

    2013-01-01

    Scholars suggest that there is a need for more research, particularly quantitative designs, that aim to examine the relationship between individual learning, team learning, and organizational learning. The purpose of this study is to investigate whether there is a relationship between perceived individual learning, team learning, and…

  16. A Generalized Mechanism for Perception of Pitch Patterns

    PubMed Central

    Loui, Psyche; Wu, Elaine H.; Wessel, David L.; Knight, Robert T.

    2009-01-01

    Surviving in a complex and changeable environment relies upon the ability to extract probable recurring patterns. Here we report a neurophysiological mechanism for rapid probabilistic learning of a new system of music. Participants listened to different combinations of tones from a previously-unheard system of pitches based on the Bohlen-Pierce scale, with chord progressions that form 3:1 ratios in frequency, notably different from 2:1 frequency ratios in existing musical systems. Event-related brain potentials elicited by improbable sounds in the new music system showed emergence over a one-hour period of physiological signatures known to index sound expectation in standard Western music. These indices of expectation learning were eliminated when sound patterns were played equiprobably, and co-varied with individual behavioral differences in learning. These results demonstrate that humans utilize a generalized probability-based perceptual learning mechanism to process novel sound patterns in music. PMID:19144845

  17. Culture and biology in the origins of linguistic structure.

    PubMed

    Kirby, Simon

    2017-02-01

    Language is systematically structured at all levels of description, arguably setting it apart from all other instances of communication in nature. In this article, I survey work over the last 20 years that emphasises the contributions of individual learning, cultural transmission, and biological evolution to explaining the structural design features of language. These 3 complex adaptive systems exist in a network of interactions: individual learning biases shape the dynamics of cultural evolution; universal features of linguistic structure arise from this cultural process and form the ultimate linguistic phenotype; the nature of this phenotype affects the fitness landscape for the biological evolution of the language faculty; and in turn this determines individuals' learning bias. Using a combination of computational simulation, laboratory experiments, and comparison with real-world cases of language emergence, I show that linguistic structure emerges as a natural outcome of cultural evolution once certain minimal biological requirements are in place.

  18. Imaging evidence for disturbances in multiple learning and memory systems in persons with autism spectrum disorders.

    PubMed

    Goh, Suzanne; Peterson, Bradley S

    2012-03-01

    The aim of this article is to review neuroimaging studies of autism spectrum disorders (ASD) that examine declarative, socio-emotional, and procedural learning and memory systems. We conducted a search of PubMed from 1996 to 2010 using the terms 'autism,''learning,''memory,' and 'neuroimaging.' We limited our review to studies correlating learning and memory function with neuroimaging features of the brain. The early literature supports the following preliminary hypotheses: (1) abnormalities of hippocampal subregions may contribute to autistic deficits in episodic and relational memory; (2) disturbances to an amygdala-based network (which may include the fusiform gyrus, superior temporal cortex, and mirror neuron system) may contribute to autistic deficits in socio-emotional learning and memory; and (3) abnormalities of the striatum may contribute to developmental dyspraxia in individuals with ASD. Characterizing the disturbances to learning and memory systems in ASD can inform our understanding of the neural bases of autistic behaviors and the phenotypic heterogeneity of ASD. © The Authors. Developmental Medicine & Child Neurology © 2012 Mac Keith Press.

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

    PubMed Central

    Dasgupta, Sakyasingha; Wörgötter, Florentin; Manoonpong, Poramate

    2014-01-01

    Goal-directed decision making in biological systems is broadly based on associations between conditional and unconditional stimuli. This can be further classified as classical conditioning (correlation-based learning) and operant conditioning (reward-based learning). A number of computational and experimental studies have well established the role of the basal ganglia in reward-based learning, where as the cerebellum plays an important role in developing specific conditioned responses. Although viewed as distinct learning systems, recent animal experiments point toward their complementary role in behavioral learning, and also show the existence of substantial two-way communication between these two brain structures. Based on this notion of co-operative learning, in this paper we hypothesize that the basal ganglia and cerebellar learning systems work in parallel and interact with each other. We envision that such an interaction is influenced by reward modulated heterosynaptic plasticity (RMHP) rule at the thalamus, guiding the overall goal directed behavior. Using a recurrent neural network actor-critic model of the basal ganglia and a feed-forward correlation-based learning model of the cerebellum, we demonstrate that the RMHP rule can effectively balance the outcomes of the two learning systems. This is tested using simulated environments of increasing complexity with a four-wheeled robot in a foraging task in both static and dynamic configurations. Although modeled with a simplified level of biological abstraction, we clearly demonstrate that such a RMHP induced combinatorial learning mechanism, leads to stabler and faster learning of goal-directed behaviors, in comparison to the individual systems. Thus, in this paper we provide a computational model for adaptive combination of the basal ganglia and cerebellum learning systems by way of neuromodulated plasticity for goal-directed decision making in biological and bio-mimetic organisms. PMID:25389391

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

    PubMed

    Dasgupta, Sakyasingha; Wörgötter, Florentin; Manoonpong, Poramate

    2014-01-01

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

  1. As technology and generations in medical education change, what remains is the intersection between educator, learners, assessment and context.

    PubMed

    Azzam, Amin

    2013-06-01

    The information era has begun to create major shifts in educational systems, including those in undergraduate medical and graduate psychiatric training programmes. Despite these changes, teaching and learning in formal educational settings remains predominately the product of the intersection between educator, learners, assessment and context. This article reviews intrinsic and external forces influencing each of these elements, such as intergenerational differences in teaching and learning styles, education technologies as they relate to delivery and maintenance of curricula, competency frameworks of assessment, and individual learning and teaching development plans. Maintaining a focus on the relationship between these factors and re-conceptualizing psychiatric education and formal medical education systems in general as a mutual two-way learning exchange between participants will promote careers of lifelong learning.

  2. Self-assessed learning style correlates to use of supplemental learning materials in an online course management system.

    PubMed

    Halbert, Caitlin; Kriebel, Richard; Cuzzolino, Robert; Coughlin, Patrick; Fresa-Dillon, Kerin

    2011-01-01

    The benefit of online learning materials in medical education is not well defined. The study correlated certain self-identified learning styles with the use of self-selected online learning materials. First-year osteopathic medical students were given access to review and/or summary materials via an online course management system (CMS) while enrolled in a pre-clinical course. At the end of the course, students completed a self-assessment of learning style based on the Index of Learning Styles and a brief survey regarding their usage and perceived advantage of the online learning materials. Students who accessed the online materials earned equivalent grades to those who did not. However, the study found that students who described their learning styles as active, intuitive, global, and/or visual were more likely to use online educational resources than those who identified their learning style as reflective, sensing, sequential, and/or verbal. Identification of a student's learning style can help medical educators direct students to learning resources that best suit their individual needs.

  3. Privacy Impact Assessment for MyWorkplace

    EPA Pesticide Factsheets

    Users of this system can retrieve names, personal contact information, and hierarchy information about individuals. Learn how the data will be collected in the system, how it will be used, access to the data, and the purpose of data collection.

  4. Procedural Learning and Individual Differences in Language

    PubMed Central

    Lee, Joanna C.; Tomblin, J. Bruce

    2014-01-01

    The aim of the current study was to examine different aspects of procedural memory in young adults who varied with regard to their language abilities. We selected a sample of procedural memory tasks, each of which represented a unique type of procedural learning, and has been linked, at least partially, to the functionality of the corticostriatal system. The findings showed that variance in language abilities is associated with performance on different domains of procedural memory, including the motor domain (as shown in the pursuit rotor task), the cognitive domain (as shown in the weather prediction task), and the linguistic domain (as shown in the nonword repetition priming task). These results implicate the corticostriatal system in individual differences in language. PMID:26190949

  5. Individualized Instruction in Science, Earth-Space Project, Self-Directed Activities.

    ERIC Educational Resources Information Center

    Kuczma, R. M.

    As a supplement to Learning Activity Packages (LAP) of the earth-space project, this manual presents self-directed activities especially designed for individualized instruction. Besides an introduction to LAP characteristics, sets of instructions are given in connection with the metric system, the earth's dimensions, indirect evidence for atomic…

  6. Identifying Critical Thinking Styles to Enhance Volunteer Development

    ERIC Educational Resources Information Center

    Gay, Keegan D.; Terry, Bryan; Lamm, Alexa J.

    2015-01-01

    Diversity in learning options can increase efficacy of volunteer development systems. The University of Florida Critical Thinking Inventory (UFCTI) is designed to explicate an individual's critical thinking style based upon a continuum from Seeking Information to Engagement. Static and interpretive materials are best used with individuals of a…

  7. Individualization for Education at Scale: MIIC Design and Preliminary Evaluation

    ERIC Educational Resources Information Center

    Brinton, Christopher G.; Rill, Ruediger; Ha, Sangtae; Chiang, Mung; Smith, Robert; Ju, William

    2015-01-01

    We present the design, implementation, and preliminary evaluation of our Adaptive Educational System (AES): the Mobile Integrated and Individualized Course (MIIC). MIIC is a platform for personalized course delivery which integrates lecture videos, text, assessments, and social learning into a mobile native app, and collects clickstream-level…

  8. The Enduring Appeal of "Learning Styles"

    ERIC Educational Resources Information Center

    Scott, Catherine

    2010-01-01

    Individualism is the dominant value system in Western cultures and, as such, it affects the conduct of every aspect of human endeavour, including education. One of the most enduring effects on education has been the search for individual differences that can explain and predict variation in student achievement, with the hope that pedagogical…

  9. 77 FR 26522 - Proposed Priority; Technical Assistance on State Data Collection, Analysis, and Reporting...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-05-04

    ..., parents of individuals with disabilities, data system experts, representatives of other early learning and... to improve their capacity to meet the Individuals with Disabilities Education Act (IDEA) data... data for infants, toddlers, and young children with disabilities (birth through age 5) served through...

  10. Project Basic Instructional Guide: Volume III, Citizenship.

    ERIC Educational Resources Information Center

    Maryland State Dept. of Education, Baltimore.

    A series of elementary and secondary school learning activities which correlate to citizenship education goals of the Maryland State Board of Education are presented. The five goals are to understand individual and group responsibilities in a democracy, know the functions of law and support a system of justice, value individual, societal, and…

  11. EdREC: Design and Development of Adaptive Platform for Scaling-up Flipped Mastery Learning

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gautam, Thakur

    EdREC is an adaptive learning and management platform designed to enhance the adoption of differential classroom and mastery flipped learning in K-12 school system. The platform is an innovative approach to teaching and learning that addresses education needs of each student separately by providing customized education plans and adaptive learning methodologies that tunes to the students abilities as well as giving students freedom to learn in their own way. On one side, EdREC provides innovative ways to help students learn; on the other side, it reduces educators' workload and empowers them to understand their students better. EdREC comes with amore » state-of-the-art computer algorithm package that enables educators to store and retrieve their students' information and augment their abilities to individualize student attention, get real-time feedback about student education progress, and provide corrective actions. The platform provides approaches to design and develop a differential classroom concept that frees much needed time by the teachers to focus more on the students at the individual level and to increase communication and collaboration opportunities among them.« less

  12. Maintaining the Median in Early Childhood Educational Methodology

    ERIC Educational Resources Information Center

    Hewes, Dorothy W.

    2005-01-01

    History shows that educational systems and educational theorists have consciously or unconsciously structured the education of young children toward one end or the other of the continuum between "internals" and "externals". Systems in which teacher-guided learning was based on efforts to satisfy individual needs, systems that…

  13. Collaborative filtering for brain-computer interaction using transfer learning and active class selection.

    PubMed

    Wu, Dongrui; Lance, Brent J; Parsons, Thomas D

    2013-01-01

    Brain-computer interaction (BCI) and physiological computing are terms that refer to using processed neural or physiological signals to influence human interaction with computers, environment, and each other. A major challenge in developing these systems arises from the large individual differences typically seen in the neural/physiological responses. As a result, many researchers use individually-trained recognition algorithms to process this data. In order to minimize time, cost, and barriers to use, there is a need to minimize the amount of individual training data required, or equivalently, to increase the recognition accuracy without increasing the number of user-specific training samples. One promising method for achieving this is collaborative filtering, which combines training data from the individual subject with additional training data from other, similar subjects. This paper describes a successful application of a collaborative filtering approach intended for a BCI system. This approach is based on transfer learning (TL), active class selection (ACS), and a mean squared difference user-similarity heuristic. The resulting BCI system uses neural and physiological signals for automatic task difficulty recognition. TL improves the learning performance by combining a small number of user-specific training samples with a large number of auxiliary training samples from other similar subjects. ACS optimally selects the classes to generate user-specific training samples. Experimental results on 18 subjects, using both k nearest neighbors and support vector machine classifiers, demonstrate that the proposed approach can significantly reduce the number of user-specific training data samples. This collaborative filtering approach will also be generalizable to handling individual differences in many other applications that involve human neural or physiological data, such as affective computing.

  14. Collaborative Filtering for Brain-Computer Interaction Using Transfer Learning and Active Class Selection

    PubMed Central

    Wu, Dongrui; Lance, Brent J.; Parsons, Thomas D.

    2013-01-01

    Brain-computer interaction (BCI) and physiological computing are terms that refer to using processed neural or physiological signals to influence human interaction with computers, environment, and each other. A major challenge in developing these systems arises from the large individual differences typically seen in the neural/physiological responses. As a result, many researchers use individually-trained recognition algorithms to process this data. In order to minimize time, cost, and barriers to use, there is a need to minimize the amount of individual training data required, or equivalently, to increase the recognition accuracy without increasing the number of user-specific training samples. One promising method for achieving this is collaborative filtering, which combines training data from the individual subject with additional training data from other, similar subjects. This paper describes a successful application of a collaborative filtering approach intended for a BCI system. This approach is based on transfer learning (TL), active class selection (ACS), and a mean squared difference user-similarity heuristic. The resulting BCI system uses neural and physiological signals for automatic task difficulty recognition. TL improves the learning performance by combining a small number of user-specific training samples with a large number of auxiliary training samples from other similar subjects. ACS optimally selects the classes to generate user-specific training samples. Experimental results on 18 subjects, using both nearest neighbors and support vector machine classifiers, demonstrate that the proposed approach can significantly reduce the number of user-specific training data samples. This collaborative filtering approach will also be generalizable to handling individual differences in many other applications that involve human neural or physiological data, such as affective computing. PMID:23437188

  15. Artificial intelligence costs, benefits, risks for selected spacecraft ground system automation scenarios

    NASA Technical Reports Server (NTRS)

    Truszkowski, Walter F.; Silverman, Barry G.; Kahn, Martha; Hexmoor, Henry

    1988-01-01

    In response to a number of high-level strategy studies in the early 1980s, expert systems and artificial intelligence (AI/ES) efforts for spacecraft ground systems have proliferated in the past several years primarily as individual small to medium scale applications. It is useful to stop and assess the impact of this technology in view of lessons learned to date, and hopefully, to determine if the overall strategies of some of the earlier studies both are being followed and still seem relevant. To achieve that end four idealized ground system automation scenarios and their attendant AI architecture are postulated and benefits, risks, and lessons learned are examined and compared. These architectures encompass: (1) no AI (baseline), (2) standalone expert systems, (3) standardized, reusable knowledge base management systems (KBMS), and (4) a futuristic unattended automation scenario. The resulting artificial intelligence lessons learned, benefits, and risks for spacecraft ground system automation scenarios are described.

  16. Artificial intelligence costs, benefits, and risks for selected spacecraft ground system automation scenarios

    NASA Technical Reports Server (NTRS)

    Truszkowski, Walter F.; Silverman, Barry G.; Kahn, Martha; Hexmoor, Henry

    1988-01-01

    In response to a number of high-level strategy studies in the early 1980s, expert systems and artificial intelligence (AI/ES) efforts for spacecraft ground systems have proliferated in the past several years primarily as individual small to medium scale applications. It is useful to stop and assess the impact of this technology in view of lessons learned to date, and hopefully, to determine if the overall strategies of some of the earlier studies both are being followed and still seem relevant. To achieve that end four idealized ground system automation scenarios and their attendant AI architecture are postulated and benefits, risks, and lessons learned are examined and compared. These architectures encompass: (1) no AI (baseline); (2) standalone expert systems; (3) standardized, reusable knowledge base management systems (KBMS); and (4) a futuristic unattended automation scenario. The resulting artificial intelligence lessons learned, benefits, and risks for spacecraft ground system automation scenarios are described.

  17. Individual Learning Route as a Way of Highly Qualified Specialists Training for Extraction of Solid Commercial Minerals Enterprises

    NASA Astrophysics Data System (ADS)

    Oschepkova, Elena; Vasinskaya, Irina; Sockoluck, Irina

    2017-11-01

    In view of changing educational paradigm (adopting of two-tier system of higher education concept - undergraduate and graduate programs) a need of using of modern learning and information and communications technologies arises putting into practice learner-centered approaches in training of highly qualified specialists for extraction and processing of solid commercial minerals enterprises. In the unstable market demand situation and changeable institutional environment, from one side, and necessity of work balancing, supplying conditions and product quality when mining-and-geological parameters change, from the other side, mining enterprises have to introduce and develop the integrated management process of product and informative and logistic flows under united management system. One of the main limitations, which keeps down the developing process on Russian mining enterprises, is staff incompetence at all levels of logistic management. Under present-day conditions extraction and processing of solid commercial minerals enterprises need highly qualified specialists who can do self-directed researches, develop new and improve present arranging, planning and managing technologies of technical operation and commercial exploitation of transport and transportation and processing facilities based on logistics. Learner-centered approach and individualization of the learning process necessitate the designing of individual learning route (ILR), which can help the students to realize their professional facilities according to requirements for specialists for extraction and processing of solid commercial minerals enterprises.

  18. Diagnosing Parkinson's Diseases Using Fuzzy Neural System

    PubMed Central

    Abiyev, Rahib H.; Abizade, Sanan

    2016-01-01

    This study presents the design of the recognition system that will discriminate between healthy people and people with Parkinson's disease. A diagnosing of Parkinson's diseases is performed using fusion of the fuzzy system and neural networks. The structure and learning algorithms of the proposed fuzzy neural system (FNS) are presented. The approach described in this paper allows enhancing the capability of the designed system and efficiently distinguishing healthy individuals. It was proved through simulation of the system that has been performed using data obtained from UCI machine learning repository. A comparative study was carried out and the simulation results demonstrated that the proposed fuzzy neural system improves the recognition rate of the designed system. PMID:26881009

  19. Towards adaptation in e-learning 2.0

    NASA Astrophysics Data System (ADS)

    Cristea, Alexandra I.; Ghali, Fawaz

    2011-04-01

    This paper presents several essential steps from an overall study on shaping new ways of learning and teaching, by using the synergetic merger of three different fields: Web 2.0, e-learning and adaptation (in particular, personalisation to the learner). These novel teaching and learning ways-the latter focus of this paper-are reflected in and finally adding to various versions of the My Online Teacher 2.0 adaptive system. In particular, this paper focuses on a study of how to more effectively use and combine the recommendation of peers and content adaptation to enhance the learning outcome in e-learning systems based on Web 2.0. In order to better isolate and examine the effects of peer recommendation and adaptive content presentation, we designed experiments inspecting collaboration between individuals based on recommendation of peers who have greater knowledge, and compare this to adaptive content recommendation, as well as to "simple" learning in a system with a minimum of Web 2.0 support. Overall, the results of adding peer recommendation and adaptive content presentation were encouraging, and are further discussed in detail in this paper.

  20. Atypical birdsong and artificial languages provide insights into how communication systems are shaped by learning, use, and transmission.

    PubMed

    Fehér, Olga

    2017-02-01

    In this article, I argue that a comparative approach focusing on the cognitive capacities and behavioral mechanisms that underlie vocal learning in songbirds and humans can provide valuable insights into the evolutionary origins of language. The experimental approaches I discuss use abnormal song and atypical linguistic input to study the processes of individual learning, social interaction, and cultural transmission. Atypical input places increased learning and communicative pressure on learners, so exploring how they respond to this type of input provides a particularly clear picture of the biases and constraints at work during learning and use. Furthermore, simulating the cultural transmission of these unnatural communication systems in the laboratory informs us about how learning and social biases influence the structure of communication systems in the long run. Findings based on these methods suggest fundamental similarities in the basic social-cognitive mechanisms underlying vocal learning in birds and humans, and continuing research promises insights into the uniquely human mechanisms and into how human cognition and social behavior interact, and ultimately impact on the evolution of language.

  1. Metabolic learning and memory formation by the brain influence systemic metabolic homeostasis.

    PubMed

    Zhang, Yumin; Liu, Gang; Yan, Jingqi; Zhang, Yalin; Li, Bo; Cai, Dongsheng

    2015-04-07

    Metabolic homeostasis is regulated by the brain, but whether this regulation involves learning and memory of metabolic information remains unexplored. Here we use a calorie-based, taste-independent learning/memory paradigm to show that Drosophila form metabolic memories that help in balancing food choice with caloric intake; however, this metabolic learning or memory is lost under chronic high-calorie feeding. We show that loss of individual learning/memory-regulating genes causes a metabolic learning defect, leading to elevated trehalose and lipid levels. Importantly, this function of metabolic learning requires not only the mushroom body but also the hypothalamus-like pars intercerebralis, while NF-κB activation in the pars intercerebralis mimics chronic overnutrition in that it causes metabolic learning impairment and disorders. Finally, we evaluate this concept of metabolic learning/memory in mice, suggesting that the hypothalamus is involved in a form of nutritional learning and memory, which is critical for determining resistance or susceptibility to obesity. In conclusion, our data indicate that the brain, and potentially the hypothalamus, direct metabolic learning and the formation of memories, which contribute to the control of systemic metabolic homeostasis.

  2. Business Process Reengineering towards an Integrated Learning Management System

    ERIC Educational Resources Information Center

    Basal, Abdelraheem Mousa

    2010-01-01

    The task of managing an information technology (IT) system in a school environment poses unique challenges. For example, one of the greatest challenges facing individual schools is the lack of integration among various information systems. The present situation in many schools is that there are many disconnected systems managing many different…

  3. Altruistic learning.

    PubMed

    Seymour, Ben; Yoshida, Wako; Dolan, Ray

    2009-01-01

    The origin of altruism remains one of the most enduring puzzles of human behaviour. Indeed, true altruism is often thought either not to exist, or to arise merely as a miscalculation of otherwise selfish behaviour. In this paper, we argue that altruism emerges directly from the way in which distinct human decision-making systems learn about rewards. Using insights provided by neurobiological accounts of human decision-making, we suggest that reinforcement learning in game-theoretic social interactions (habitisation over either individuals or games) and observational learning (either imitative of inference based) lead to altruistic behaviour. This arises not only as a result of computational efficiency in the face of processing complexity, but as a direct consequence of optimal inference in the face of uncertainty. Critically, we argue that the fact that evolutionary pressure acts not over the object of learning ('what' is learned), but over the learning systems themselves ('how' things are learned), enables the evolution of altruism despite the direct threat posed by free-riders.

  4. Learning in Artificial Neural Systems

    NASA Technical Reports Server (NTRS)

    Matheus, Christopher J.; Hohensee, William E.

    1987-01-01

    This paper presents an overview and analysis of learning in Artificial Neural Systems (ANS's). It begins with a general introduction to neural networks and connectionist approaches to information processing. The basis for learning in ANS's is then described, and compared with classical Machine learning. While similar in some ways, ANS learning deviates from tradition in its dependence on the modification of individual weights to bring about changes in a knowledge representation distributed across connections in a network. This unique form of learning is analyzed from two aspects: the selection of an appropriate network architecture for representing the problem, and the choice of a suitable learning rule capable of reproducing the desired function within the given network. The various network architectures are classified, and then identified with explicit restrictions on the types of functions they are capable of representing. The learning rules, i.e., algorithms that specify how the network weights are modified, are similarly taxonomized, and where possible, the limitations inherent to specific classes of rules are outlined.

  5. The Role of Learning and Career Guidance for Managing Mid-Career Transitions--Comparing Germany and Denmark

    ERIC Educational Resources Information Center

    Haasler, Simone R.; Barabasch, Antje

    2015-01-01

    In Germany and Denmark, the systems of further education and career guidance are well developed, offering a wide range of services and learning opportunities for targeted, specific and also general skills development. Based on an empirical study with mid-career individuals in both countries, the article investigates how the different systems…

  6. Voices on Word Matters: Learning about Phonics and Spelling in the Literacy Classroom.

    ERIC Educational Resources Information Center

    Fountas, Irene C., Ed.; Pinnell, Gay Su, Ed.

    Extending the editors' system for word study, this book presents essays by scholars and practitioners who explore letter and word learning in a variety of reading, writing, and language contexts in the primary classroom, with articles that range from detailed observations of individual readers and writers to full-scale analyses of classroom…

  7. Design and Validation of a Web-Based System for Assigning Members to Teams Using Instructor-Specified Criteria

    ERIC Educational Resources Information Center

    Layton, Richard A.; Loughry, Misty L.; Ohland, Matthew W.; Ricco, George D.

    2010-01-01

    A significant body of research identifies a large number of team composition characteristics that affect the success of individuals and teams in cooperative learning and project-based team environments. Controlling these factors when assigning students to teams should result in improved learning experiences. However, it is very difficult for…

  8. Time and Attention in Urban High Schools: Lessons for School Systems

    ERIC Educational Resources Information Center

    Frank, Stephen

    2010-01-01

    There is no disputing that for high school students to be college and career ready, they need adequate time to learn, and individualized attention to meet each student's academic goals, learning styles, and social needs. Over the past decade, Education Resource Strategies (ERS) has partnered with urban schools and districts to improve their use of…

  9. Open Secrets: Using the Internet to Learn about the Influence of Money in Politics

    ERIC Educational Resources Information Center

    Scheuerell, Scott K.

    2008-01-01

    With the 2008 election quickly approaching, candidates continue the scramble to fund their campaigns--collecting money from individuals, corporations, and labor unions. Students can learn a great deal about the political system by examining how politicians are financed. The vast majority of high school students do not understand the influence of…

  10. Learning Management Systems in Traditional Face-to-Face Courses: A Narrative Inquiry Study

    ERIC Educational Resources Information Center

    Washington, Gloria

    2017-01-01

    The purpose of the qualitative narrative inquiry study was to explore accounts of individual higher education instructors' experiences utilizing LMSs as a potential platform for teaching and learning in the traditional face-to-face classroom environment. The pedagogical use of LMSs in traditional face-to-face courses from real life experiences of…

  11. Using the Personalized System of Instruction to Differentiate Instruction in Fitness

    ERIC Educational Resources Information Center

    Viness, Stephanie; Colquitt, Gavin; Pritchard, Tony; Johnson, Christine

    2017-01-01

    The purpose of this article is to provide an overview of how PE teachers can personalize learning to meet a variety of student needs. Differentiated instruction (DI) is a term frequently used in classroom-based learning to describe a method of personalization for individual students. The term can also describe a theoretical model for teaching and…

  12. Value Education through Distance Learning: Opinions of Students Who Already Completed Value Education

    ERIC Educational Resources Information Center

    Deveci, Handan

    2015-01-01

    Individuals in a society should be systematically trained on value education so that they can appreciate values such as love, respect, tolerance, and honesty. Employment of value training approaches within Anadolu University Open and Distance Learning System will make it possible to educate many people on values. The purpose of this research is to…

  13. Module Two: Voltage; Basic Electricity and Electronics Individualized Learning System.

    ERIC Educational Resources Information Center

    Bureau of Naval Personnel, Washington, DC.

    In this module the student will study and learn what voltage is, how it is generated, what AC (alternating current) and DC (direct current) are and why both kinds are needed, and how to measure voltages. The module is divided into six lessons: EMF (electromotive force) from chemical action, magnetism, electromagnetic induction, AC voltage, the…

  14. Technology, Demographic Characteristics and E-Learning Acceptance: A Conceptual Model Based on Extended Technology Acceptance Model

    ERIC Educational Resources Information Center

    Tarhini, Ali; Elyas, Tariq; Akour, Mohammad Ali; Al-Salti, Zahran

    2016-01-01

    The main aim of this paper is to develop an amalgamated conceptual model of technology acceptance that explains how individual, social, cultural and organizational factors affect the students' acceptance and usage behaviour of the Web-based learning systems. More specifically, the proposed model extends the Technology Acceptance Model (TAM) to…

  15. Module Six: Parallel Circuits; Basic Electricity and Electronics Individualized Learning System.

    ERIC Educational Resources Information Center

    Bureau of Naval Personnel, Washington, DC.

    In this module the student will learn the rules that govern the characteristics of parallel circuits; the relationships between voltage, current, resistance and power; and the results of common troubles in parallel circuits. The module is divided into four lessons: rules of voltage and current, rules for resistance and power, variational analysis,…

  16. Module Fifteen: Special Topics; Basic Electricity and Electronics Individualized Learning System.

    ERIC Educational Resources Information Center

    Bureau of Naval Personnel, Washington, DC.

    The final module emphasizes utilizing the information learned in modules 1-14 to analyze and evaluate the power supply constructed in Module 0. The module contains the following narrative--power supply evaluation; experiment 1--resistance analysis of the half-wave and semiconductor power supply; experiment 2--voltage analysis of the half-wave and…

  17. Informality of Teaching and Learning in Nonformal Schools: Socio-Cultural Processes as Mesosystems of Student Development

    ERIC Educational Resources Information Center

    Shohel, M. Mahruf C.; Howes, Andrew J.

    2008-01-01

    The flexible environment of nonformal primary schools in a community context in Bangladesh facilitates the individual development of young people who would otherwise be excluded from the school system. This paper aims to explore the features of institutional and wider context which support this nonformal learning environment, as well as…

  18. Setting the Pace: Experiments with Keller's PSI

    ERIC Educational Resources Information Center

    Purao, Sandeep; Sein, Maung; Nilsen, Hallgeir; Larsen, Even Åby

    2017-01-01

    The ideal of self-paced learning, which was introduced nearly 50 years ago by Keller in his Personalized System of Instruction (PSI), has not yet been widely adopted. In spite of its perceived promise of helping students to learn at the speed aligned to their individual backgrounds, motivation, and skills, PSI has been challenging to implement.…

  19. Teacher Education and Social Ethics

    ERIC Educational Resources Information Center

    Ayeni, M. A.; Adeleye, J. O.

    2014-01-01

    It poses no difficulty to argue that the success of any nation depends to a large extent on the quality of her teachers. This is because the outcome of teaching, which is learning, manifests in all services rendered by the individual in all sectors of life. If the products of the school system do not learn well both academically and morally, they…

  20. AX+/BX- Discrimination Learning in the Fear-Potentiated Startle Paradigm in Monkeys

    ERIC Educational Resources Information Center

    Winslow, James T.; Noble, Pamela L.; Davis, Michael

    2008-01-01

    Individuals with anxiety disorders often do not respond to safety signals and hence continue to be afraid and anxious. Consequently, it is important to develop paradigms in animals that can directly study brain systems involved in learning about, and responding to, safety signals. We previously developed a discrimination procedure in rats of the…

  1. A Review of MS-DOS Bulletin Board Software Suitable for Long Distance Learning.

    ERIC Educational Resources Information Center

    Sessa, Anneliese

    This paper describes the advantages of using computer bulletin boards systems (BBS) for distance learning, including the use of the New York City Education Network (NYCENET) to access various databases and to communicate with individuals or the public. Questions to be answered in order to determine the most appropriate software for running a BBS…

  2. Evolutionarily stable learning schedules and cumulative culture in discrete generation models.

    PubMed

    Aoki, Kenichi; Wakano, Joe Yuichiro; Lehmann, Laurent

    2012-06-01

    Individual learning (e.g., trial-and-error) and social learning (e.g., imitation) are alternative ways of acquiring and expressing the appropriate phenotype in an environment. The optimal choice between using individual learning and/or social learning may be dictated by the life-stage or age of an organism. Of special interest is a learning schedule in which social learning precedes individual learning, because such a schedule is apparently a necessary condition for cumulative culture. Assuming two obligatory learning stages per discrete generation, we obtain the evolutionarily stable learning schedules for the three situations where the environment is constant, fluctuates between generations, or fluctuates within generations. During each learning stage, we assume that an organism may target the optimal phenotype in the current environment by individual learning, and/or the mature phenotype of the previous generation by oblique social learning. In the absence of exogenous costs to learning, the evolutionarily stable learning schedules are predicted to be either pure social learning followed by pure individual learning ("bang-bang" control) or pure individual learning at both stages ("flat" control). Moreover, we find for each situation that the evolutionarily stable learning schedule is also the one that optimizes the learned phenotype at equilibrium. Copyright © 2012 Elsevier Inc. All rights reserved.

  3. Research on B Cell Algorithm for Learning to Rank Method Based on Parallel Strategy.

    PubMed

    Tian, Yuling; Zhang, Hongxian

    2016-01-01

    For the purposes of information retrieval, users must find highly relevant documents from within a system (and often a quite large one comprised of many individual documents) based on input query. Ranking the documents according to their relevance within the system to meet user needs is a challenging endeavor, and a hot research topic-there already exist several rank-learning methods based on machine learning techniques which can generate ranking functions automatically. This paper proposes a parallel B cell algorithm, RankBCA, for rank learning which utilizes a clonal selection mechanism based on biological immunity. The novel algorithm is compared with traditional rank-learning algorithms through experimentation and shown to outperform the others in respect to accuracy, learning time, and convergence rate; taken together, the experimental results show that the proposed algorithm indeed effectively and rapidly identifies optimal ranking functions.

  4. Research on B Cell Algorithm for Learning to Rank Method Based on Parallel Strategy

    PubMed Central

    Tian, Yuling; Zhang, Hongxian

    2016-01-01

    For the purposes of information retrieval, users must find highly relevant documents from within a system (and often a quite large one comprised of many individual documents) based on input query. Ranking the documents according to their relevance within the system to meet user needs is a challenging endeavor, and a hot research topic–there already exist several rank-learning methods based on machine learning techniques which can generate ranking functions automatically. This paper proposes a parallel B cell algorithm, RankBCA, for rank learning which utilizes a clonal selection mechanism based on biological immunity. The novel algorithm is compared with traditional rank-learning algorithms through experimentation and shown to outperform the others in respect to accuracy, learning time, and convergence rate; taken together, the experimental results show that the proposed algorithm indeed effectively and rapidly identifies optimal ranking functions. PMID:27487242

  5. E-learning implementation in superior technical educational system

    NASA Astrophysics Data System (ADS)

    Musca, Gavril; Mihalache, Andrei; Musca, Elena

    2016-11-01

    E-learning methods apply to most modern and various domains but also represent a great tool for the mechanical educational system where there are a lot of sustained efforts for its implementation. Using, administrating and maintaining an e-learning system for a certain field of study requires knowledge related to computation system's utilization but also the understanding the working mechanisms behind it that allows the system to be fully customized in order to be perfect fitted to the user's needs and requirements. A Moodle based test is evaluated from several points of views such as coherence clarity, concise content, information synthesis capacity and the presentation mode which makes the difference between clear or fuzzy graphical representations or terms. The authors appreciate that the ability of managing information in real time by the professor is a decisive decision in order to successfully implement an e-learning web platform. Updating information and structuring trainee's activities from thoroughgoing study up to their individual proposals for conceived applications leads to a better understanding and practical knowledge of theory.

  6. An Instructional Systems Technology Model for Institutional Change.

    ERIC Educational Resources Information Center

    Dudgeon, Paul J.

    A program based on instructional systems technology was developed at Canadore College as a means of devising the optimal learning experience for each individual student. The systems approach is used to solve educational problems through a process of analysis, synthesis, modeling, and simulation, based on the LOGOS (Language for Optimizing…

  7. Utilization of Information Provided by the Wisconsin Management System.

    ERIC Educational Resources Information Center

    Rossmiller, Richard A.

    The management system developed by the Wisconsin Center for Cognitive Learning (CCL) is useful to principal investigators of individual projects for proposal development, project management, and project reporting, as well as to the CCL management for program planning, program management, and reporting to funding agencies. The system aids proposal…

  8. Communication and abnormal behaviour.

    PubMed

    Crown, S

    1979-01-01

    In this paper the similarities between normal and abnormal behaviour are emphasized and selected aspects of communication, normal and aberrant, between persons are explored. Communication in a social system may be verbal or non-verbal: one person's actions cause a response in another person. This response may be cognitive, behavioural or physiological. Communication may be approached through the individual, the social situation or social interaction. Psychoanalysis approaches the individual in terms of the coded communications of psychoneurotic symptoms or psychotic behaviour; the humanist-existential approach is concerned more with emotional expression. Both approaches emphasize the development of individual identity. The interaction between persons and their social background is stressed. Relevant are sociological concepts such as illness behaviour, stigma, labelling, institutionalization and compliance. Two approaches to social interactions are considered: the gamesplaying metaphor, e.g. back pain as a psychosocial manipulation--the 'pain game'; and the 'spiral of reciprocal perspectives' which emphasizes the interactional complexities of social perceptions. Communicatory aspects of psychological treatments are noted: learning a particular metaphor such as 'resolution' of the problem (psychotherapy), learning more 'rewarding' behaviour (learning theory) or learning authenticity or self-actualization (humanist-existential).

  9. Strategies and Rubrics for Teaching Complex Systems Theory to Novices (Invited)

    NASA Astrophysics Data System (ADS)

    Fichter, L. S.

    2010-12-01

    Bifurcation. Self-similarity. Fractal. Sensitive dependent. Agents. Self-organized criticality. Avalanche behavior. Power laws. Strange attractors. Emergence. The language of complexity is fundamentally different from the language of equilibrium. If students do not know these phenomena, and what they tell us about the pulse of dynamic systems, complex systems will be opaque. A complex system is a group of agents. (individual interacting units, like birds in a flock, sand grains in a ripple, or individual friction units along a fault zone), existing far from equilibrium, interacting through positive and negative feedbacks, following simple rules, forming interdependent, dynamic, evolutionary networks. Complex systems produce behaviors that cannot be predicted deductively from knowledge of the behaviors of the individual components themselves; they must be experienced. What complexity theory demonstrates is that, by following simple rules, all the agents end up coordinating their behavior—self organizing—so that what emerges is not chaos, but meaningful patterns. How can we introduce Freshman, non-science, general education students to complex systems theories, in 3 to 5 classes; in a way they really get it, and can use the principles to understand real systems? Complex systems theories are not a series of unconnected or disconnected equations or models; they are developed as narratives that makes sense of how all the pieces and properties are interrelated. The principles of complex systems must be taught as deliberately and systematically as the equilibrium principles normally taught; as, say, the systematic training from pre-algebra and geometry to algebra. We have developed a sequence of logically connected narratives (strategies and rubrics) that introduce complex systems principles using models that can be simulated in a computer, in class, in real time. The learning progression has a series of 12 models (e.g. logistic system, bifurcation diagrams, genetic algorithms, etc.) leading to 19 learning outcomes that encompass most of the universality properties that characterize complex systems. They are developed in a specific order to achieve specific ends of understanding. We use these models in various depths and formats in courses ranging from gened courses, to evolutionary systems and environmental systems, to upper level geology courses. Depending on the goals of a course, the learning outcomes can be applied to understanding many other complex systems; e.g. oscillating chemical reactions (reaction-diffusion and activator-inhibitor systems), autocatalytic networks, hysteresis (bistable) systems, networks, and the rise/collapse of complex societies. We use these and other complex systems concepts in various classes to talk about the origin of life, ecosystem organization, game theory, extinction events, and environmental system behaviors. The applications are almost endless. The complete learning progression with models, computer programs, experiments, and learning outcomes is available at: www.jmu.edu/geology/ComplexEvolutionarySystems/

  10. Reading faces: investigating the use of a novel face-based orthography in acquired alexia.

    PubMed

    Moore, Michelle W; Brendel, Paul C; Fiez, Julie A

    2014-02-01

    Skilled visual word recognition is thought to rely upon a particular region within the left fusiform gyrus, the visual word form area (VWFA). We investigated whether an individual (AA1) with pure alexia resulting from acquired damage to the VWFA territory could learn an alphabetic "FaceFont" orthography, in which faces rather than typical letter-like units are used to represent phonemes. FaceFont was designed to distinguish between perceptual versus phonological influences on the VWFA. AA1 was unable to learn more than five face-phoneme mappings, performing well below that of controls. AA1 succeeded, however, in learning and using a proto-syllabary comprising 15 face-syllable mappings. These results suggest that the VWFA provides a "linguistic bridge" into left hemisphere speech and language regions, irrespective of the perceptual characteristics of a written language. They also suggest that some individuals may be able to acquire a non-alphabetic writing system more readily than an alphabetic writing system. Copyright © 2013 Elsevier Inc. All rights reserved.

  11. Reading faces: Investigating the use of a novel face-based orthography in acquired alexia

    PubMed Central

    Moore, Michelle W.; Brendel, Paul C.; Fiez, Julie A.

    2014-01-01

    Skilled visual word recognition is thought to rely upon a particular region within the left fusiform gyrus, the visual word form area (VWFA). We investigated whether an individual (AA1) with pure alexia resulting from acquired damage to the VWFA territory could learn an alphabetic “FaceFont” orthography, in which faces rather than typical letter-like units are used to represent phonemes. FaceFont was designed to distinguish between perceptual versus phonological influences on the VWFA. AA1 was unable to learn more than five face-phoneme mappings, performing well below that of controls. AA1 succeeded, however, in learning and using a proto-syllabary comprising 15 face-syllable mappings. These results suggest that the VWFA provides a “linguistic bridge” into left hemisphere speech and language regions, irrespective of the perceptual characteristics of a written language. They also suggest that some individuals may be able to acquire a non-alphabetic writing system more readily than an alphabetic writing system. PMID:24463310

  12. Early prediction of student goals and affect in narrative-centered learning environments

    NASA Astrophysics Data System (ADS)

    Lee, Sunyoung

    Recent years have seen a growing recognition of the role of goal and affect recognition in intelligent tutoring systems. Goal recognition is the task of inferring users' goals from a sequence of observations of their actions. Because of the uncertainty inherent in every facet of human computer interaction, goal recognition is challenging, particularly in contexts in which users can perform many actions in any order, as is the case with intelligent tutoring systems. Affect recognition is the task of identifying the emotional state of a user from a variety of physical cues, which are produced in response to affective changes in the individual. Accurately recognizing student goals and affect states could contribute to more effective and motivating interactions in intelligent tutoring systems. By exploiting knowledge of student goals and affect states, intelligent tutoring systems can dynamically modify their behavior to better support individual students. To create effective interactions in intelligent tutoring systems, goal and affect recognition models should satisfy two key requirements. First, because incorrectly predicted goals and affect states could significantly diminish the effectiveness of interactive systems, goal and affect recognition models should provide accurate predictions of user goals and affect states. When observations of users' activities become available, recognizers should make accurate early" predictions. Second, goal and affect recognition models should be highly efficient so they can operate in real time. To address key issues, we present an inductive approach to recognizing student goals and affect states in intelligent tutoring systems by learning goals and affect recognition models. Our work focuses on goal and affect recognition in an important new class of intelligent tutoring systems, narrative-centered learning environments. We report the results of empirical studies of induced recognition models from observations of students' interactions in narrative-centered learning environments. Experimental results suggest that induced models can make accurate early predictions of student goals and affect states, and they are sufficiently efficient to meet the real-time performance requirements of interactive learning environments.

  13. Collective states in social systems with interacting learning agents

    NASA Astrophysics Data System (ADS)

    Semeshenko, Viktoriya; Gordon, Mirta B.; Nadal, Jean-Pierre

    2008-08-01

    We study the implications of social interactions and individual learning features on consumer demand in a simple market model. We consider a social system of interacting heterogeneous agents with learning abilities. Given a fixed price, agents repeatedly decide whether or not to buy a unit of a good, so as to maximize their expected utilities. This model is close to Random Field Ising Models, where the random field corresponds to the idiosyncratic willingness to pay. We show that the equilibrium reached depends on the nature of the information agents use to estimate their expected utilities. It may be different from the systems’ Nash equilibria.

  14. Developmental regulation of fear learning and anxiety behavior by endocannabinoids

    PubMed Central

    Lee, Tiffany T.-Y.; Hill, Matthew N.; Lee, Francis S.

    2015-01-01

    The developing brain undergoes substantial maturation into adulthood and the development of specific neural structures occurs on differing timelines. Transient imbalances between developmental trajectories of corticolimbic structures, which are known to contribute to regulation over fear learning and anxiety, can leave an individual susceptible to mental illness, particularly anxiety disorders. There is a substantial body of literature indicating that the endocannabinoid system critically regulates stress responsivity and emotional behavior throughout the life span, making this system a novel therapeutic target for stress- and anxiety-related disorders. During early life and adolescence, corticolimbic endocannabinoid signaling changes dynamically and coincides with different sensitive periods of fear learning, suggesting that endocannabinoid signaling underlies age-specific fear learning responses. Moreover, perturbations to these normative fluctuations in corticolimbic endocannabinoid signaling, such as stress or cannabinoid exposure, could serve as a neural substrate contributing to alterations to the normative developmental trajectory of neural structures governing emotional behavior and fear learning. In this review, we first introduce the components of the endocannabinoid system and discuss clinical and rodent models demonstrating endocannabinoid regulation of fear learning and anxiety in adulthood. Next, we highlight distinct fear learning and regulation profiles throughout development and discuss the ontogeny of the endocannabinoid system in the central nervous system, and models of pharmacological augmentation of endocannabinoid signaling during development in the context of fear learning and anxiety. PMID:26419643

  15. An extended ASLD trading system to enhance portfolio management.

    PubMed

    Hung, Kei-Keung; Cheung, Yiu-Ming; Xu, Lei

    2003-01-01

    An adaptive supervised learning decision (ASLD) trading system has been presented by Xu and Cheung (1997) to optimize the expected returns of investment without considering risks. In this paper, we propose an extension of the ASLD system (EASLD), which combines the ASLD with a portfolio optimization scheme to take a balance between the expected returns and risks. This new system not only keeps the learning adaptability of the ASLD, but also dynamically controls the risk in pursuit of great profits by diversifying the capital to a time-varying portfolio of N assets. Consequently, it is shown that: 1) the EASLD system gives the investment risk much smaller than the ASLD one; and 2) more returns are gained through the EASLD system in comparison with the two individual portfolio optimization schemes that statically determine the portfolio weights without adaptive learning. We have justified these two issues by the experiments.

  16. Intelligent tutoring system for clinical reasoning skill acquisition in dental students.

    PubMed

    Suebnukarn, Siriwan

    2009-10-01

    Learning clinical reasoning is an important core activity of the modern dental curriculum. This article describes an intelligent tutoring system (ITS) for clinical reasoning skill acquisition. The system is designed to provide an experience that emulates that of live human-tutored problem-based learning (PBL) sessions as much as possible, while at the same time permitting the students to participate collaboratively from disparate locations. The system uses Bayesian networks to model individual student knowledge and activity, as well as that of the group. Tutoring algorithms use the models to generate tutoring hints. The system incorporates a multimodal interface that integrates text and graphics so as to provide a rich communication channel between the students and the system, as well as among students in the group. Comparison of learning outcomes shows that student clinical reasoning gains from the ITS are similar to those obtained from human-tutored sessions.

  17. Real-time individualized training vectors for experiential learning.

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Willis, Matt; Tucker, Eilish Marie; Raybourn, Elaine Marie

    2011-01-01

    Military training utilizing serious games or virtual worlds potentially generate data that can be mined to better understand how trainees learn in experiential exercises. Few data mining approaches for deployed military training games exist. Opportunities exist to collect and analyze these data, as well as to construct a full-history learner model. Outcomes discussed in the present document include results from a quasi-experimental research study on military game-based experiential learning, the deployment of an online game for training evidence collection, and results from a proof-of-concept pilot study on the development of individualized training vectors. This Lab Directed Research & Development (LDRD)more » project leveraged products within projects, such as Titan (Network Grand Challenge), Real-Time Feedback and Evaluation System, (America's Army Adaptive Thinking and Leadership, DARWARS Ambush! NK), and Dynamic Bayesian Networks to investigate whether machine learning capabilities could perform real-time, in-game similarity vectors of learner performance, toward adaptation of content delivery, and quantitative measurement of experiential learning.« less

  18. Impaired learning of event frequencies in tone deafness

    PubMed Central

    Loui, Psyche; Schlaug, Gottfried

    2013-01-01

    Musical knowledge is ubiquitous, effortless, and implicitly acquired all over the world via exposure to musical materials in one’s culture. In contrast, one group of individuals who show insensitivity to music, specifically the inability to discriminate pitches and melodies, is the tone-deaf. In this study, we asked whether difficulties in pitch and melody discrimination among the tone-deaf could be related to learning difficulties, and, if so, what processes of learning might be affected in the tone-deaf. We investigated the learning of frequency information in a new musical system in tone-deaf individuals and matched controls. Results showed significantly impaired learning abilities in frequency matching in the tone-deaf. This impairment was positively correlated with the severity of tone deafness as assessed by the Montreal Battery for Evaluation of Amusia. Taken together, the results suggest that tone deafness is characterized by an impaired ability to acquire frequency information from pitched materials in the sound environment. PMID:22524379

  19. Impaired learning of event frequencies in tone deafness.

    PubMed

    Loui, Psyche; Schlaug, Gottfried

    2012-04-01

    Musical knowledge is ubiquitous, effortless, and implicitly acquired all over the world via exposure to musical materials in one's culture. In contrast, one group of individuals who show insensitivity to music, specifically the inability to discriminate pitches and melodies, is the tone-deaf. In this study, we asked whether difficulties in pitch and melody discrimination among the tone-deaf could be related to learning difficulties, and, if so, what processes of learning might be affected in the tone-deaf. We investigated the learning of frequency information in a new musical system in tone-deaf individuals and matched controls. Results showed significantly impaired learning abilities in frequency matching in the tone-deaf. This impairment was positively correlated with the severity of tone deafness as assessed by the Montreal Battery for Evaluation of Amusia. Taken together, the results suggest that tone deafness is characterized by an impaired ability to acquire frequency information from pitched materials in the sound environment. © 2012 New York Academy of Sciences.

  20. Pitfalls in the psychoeducational assessment of adolescents with learning and school adjustment problems.

    PubMed

    Pollak, J M

    1985-01-01

    Over the past decade there has been a growing interest on the part of educators, medical specialists, mental health personnel, and the lay public in the diagnosis, evaluation, and remediation of specific learning disabilities in the school-age child. This paper attempts to show through case illustrations of five high school-age adolescents how parents can seek from clinical evaluators a diagnostic impression of primary learning disability for their nonlearning disabled children; how this otherwise legitimate diagnostic category can be inappropriately used in the service of denying the salient individual, emotional, and family system factors at work in the school-related difficulties; and how the label of learning disability can work as a formidable resistance on the part of the family when, following comprehensive, in-depth assessment, professional recommendations focus less on specific educational remediation and more on the need for individual or family psychotherapy. Suggestions are made for dealing with this clinical issue.

  1. Chimpanzees demonstrate individual differences in social information use.

    PubMed

    Watson, Stuart K; Vale, Gillian L; Hopper, Lydia M; Dean, Lewis G; Kendal, Rachel L; Price, Elizabeth E; Wood, Lara A; Davis, Sarah J; Schapiro, Steven J; Lambeth, Susan P; Whiten, Andrew

    2018-06-19

    Studies of transmission biases in social learning have greatly informed our understanding of how behaviour patterns may diffuse through animal populations, yet within-species inter-individual variation in social information use has received little attention and remains poorly understood. We have addressed this question by examining individual performances across multiple experiments with the same population of primates. We compiled a dataset spanning 16 social learning studies (26 experimental conditions) carried out at the same study site over a 12-year period, incorporating a total of 167 chimpanzees. We applied a binary scoring system to code each participant's performance in each study according to whether they demonstrated evidence of using social information from conspecifics to solve the experimental task or not (Social Information Score-'SIS'). Bayesian binomial mixed effects models were then used to estimate the extent to which individual differences influenced SIS, together with any effects of sex, rearing history, age, prior involvement in research and task type on SIS. An estimate of repeatability found that approximately half of the variance in SIS was accounted for by individual identity, indicating that individual differences play a critical role in the social learning behaviour of chimpanzees. According to the model that best fit the data, females were, depending on their rearing history, 15-24% more likely to use social information to solve experimental tasks than males. However, there was no strong evidence of an effect of age or research experience, and pedigree records indicated that SIS was not a strongly heritable trait. Our study offers a novel, transferable method for the study of individual differences in social learning.

  2. Individualized Instruction, Discipline, and Behavior Modification in an Alternative School Environment.

    ERIC Educational Resources Information Center

    Womack, Sid T.

    Withdrawn and disruptive students can make progress in an alternative school where they receive individualized instruction and attention with a system of earned credits and fines. The student body in an alternative school may be hetereogeneous, ranging from the borderline mentally retarded and learning disabled to the emotionally disturbed. Their…

  3. Individual Differences: Interplay of Learner Characteristics and Learning Environment

    ERIC Educational Resources Information Center

    Dornyei, Zoltan

    2009-01-01

    The notion of language as a complex adaptive system has been conceived within an agent-based framework, which highlights the significance of individual-level variation in the characteristics and contextual circumstances of the learner/speaker. Yet, in spite of this emphasis, currently we know relatively little about the interplay among language,…

  4. A Hierarchical Bayesian Model for Crowd Emotions

    PubMed Central

    Urizar, Oscar J.; Baig, Mirza S.; Barakova, Emilia I.; Regazzoni, Carlo S.; Marcenaro, Lucio; Rauterberg, Matthias

    2016-01-01

    Estimation of emotions is an essential aspect in developing intelligent systems intended for crowded environments. However, emotion estimation in crowds remains a challenging problem due to the complexity in which human emotions are manifested and the capability of a system to perceive them in such conditions. This paper proposes a hierarchical Bayesian model to learn in unsupervised manner the behavior of individuals and of the crowd as a single entity, and explore the relation between behavior and emotions to infer emotional states. Information about the motion patterns of individuals are described using a self-organizing map, and a hierarchical Bayesian network builds probabilistic models to identify behaviors and infer the emotional state of individuals and the crowd. This model is trained and tested using data produced from simulated scenarios that resemble real-life environments. The conducted experiments tested the efficiency of our method to learn, detect and associate behaviors with emotional states yielding accuracy levels of 74% for individuals and 81% for the crowd, similar in performance with existing methods for pedestrian behavior detection but with novel concepts regarding the analysis of crowds. PMID:27458366

  5. The Impact of Individual Learning Accounts: A Study of the Early and Potential Impact of Individual Learning Accounts on Learning Providers and Learning. Research Report.

    ERIC Educational Resources Information Center

    Gray, Michael; Peters, Jane; Fletcher, Mick; Kirk, Gordon

    The impact of individual learning accounts (ILAs) on the success of learners in post-16 education sector in the United Kingdom was explored through an examination of available research on ILAs. The following were among the study's 12 messages for providers, the Department for Education and Skills, and the Individual Learning Account Centre: (1)…

  6. Modelling individual differences in the form of Pavlovian conditioned approach responses: a dual learning systems approach with factored representations.

    PubMed

    Lesaint, Florian; Sigaud, Olivier; Flagel, Shelly B; Robinson, Terry E; Khamassi, Mehdi

    2014-02-01

    Reinforcement Learning has greatly influenced models of conditioning, providing powerful explanations of acquired behaviour and underlying physiological observations. However, in recent autoshaping experiments in rats, variation in the form of Pavlovian conditioned responses (CRs) and associated dopamine activity, have questioned the classical hypothesis that phasic dopamine activity corresponds to a reward prediction error-like signal arising from a classical Model-Free system, necessary for Pavlovian conditioning. Over the course of Pavlovian conditioning using food as the unconditioned stimulus (US), some rats (sign-trackers) come to approach and engage the conditioned stimulus (CS) itself - a lever - more and more avidly, whereas other rats (goal-trackers) learn to approach the location of food delivery upon CS presentation. Importantly, although both sign-trackers and goal-trackers learn the CS-US association equally well, only in sign-trackers does phasic dopamine activity show classical reward prediction error-like bursts. Furthermore, neither the acquisition nor the expression of a goal-tracking CR is dopamine-dependent. Here we present a computational model that can account for such individual variations. We show that a combination of a Model-Based system and a revised Model-Free system can account for the development of distinct CRs in rats. Moreover, we show that revising a classical Model-Free system to individually process stimuli by using factored representations can explain why classical dopaminergic patterns may be observed for some rats and not for others depending on the CR they develop. In addition, the model can account for other behavioural and pharmacological results obtained using the same, or similar, autoshaping procedures. Finally, the model makes it possible to draw a set of experimental predictions that may be verified in a modified experimental protocol. We suggest that further investigation of factored representations in computational neuroscience studies may be useful.

  7. Modelling Individual Differences in the Form of Pavlovian Conditioned Approach Responses: A Dual Learning Systems Approach with Factored Representations

    PubMed Central

    Lesaint, Florian; Sigaud, Olivier; Flagel, Shelly B.; Robinson, Terry E.; Khamassi, Mehdi

    2014-01-01

    Reinforcement Learning has greatly influenced models of conditioning, providing powerful explanations of acquired behaviour and underlying physiological observations. However, in recent autoshaping experiments in rats, variation in the form of Pavlovian conditioned responses (CRs) and associated dopamine activity, have questioned the classical hypothesis that phasic dopamine activity corresponds to a reward prediction error-like signal arising from a classical Model-Free system, necessary for Pavlovian conditioning. Over the course of Pavlovian conditioning using food as the unconditioned stimulus (US), some rats (sign-trackers) come to approach and engage the conditioned stimulus (CS) itself – a lever – more and more avidly, whereas other rats (goal-trackers) learn to approach the location of food delivery upon CS presentation. Importantly, although both sign-trackers and goal-trackers learn the CS-US association equally well, only in sign-trackers does phasic dopamine activity show classical reward prediction error-like bursts. Furthermore, neither the acquisition nor the expression of a goal-tracking CR is dopamine-dependent. Here we present a computational model that can account for such individual variations. We show that a combination of a Model-Based system and a revised Model-Free system can account for the development of distinct CRs in rats. Moreover, we show that revising a classical Model-Free system to individually process stimuli by using factored representations can explain why classical dopaminergic patterns may be observed for some rats and not for others depending on the CR they develop. In addition, the model can account for other behavioural and pharmacological results obtained using the same, or similar, autoshaping procedures. Finally, the model makes it possible to draw a set of experimental predictions that may be verified in a modified experimental protocol. We suggest that further investigation of factored representations in computational neuroscience studies may be useful. PMID:24550719

  8. Nash Equilibrium of Social-Learning Agents in a Restless Multiarmed Bandit Game.

    PubMed

    Nakayama, Kazuaki; Hisakado, Masato; Mori, Shintaro

    2017-05-16

    We study a simple model for social-learning agents in a restless multiarmed bandit (rMAB). The bandit has one good arm that changes to a bad one with a certain probability. Each agent stochastically selects one of the two methods, random search (individual learning) or copying information from other agents (social learning), using which he/she seeks the good arm. Fitness of an agent is the probability to know the good arm in the steady state of the agent system. In this model, we explicitly construct the unique Nash equilibrium state and show that the corresponding strategy for each agent is an evolutionarily stable strategy (ESS) in the sense of Thomas. It is shown that the fitness of an agent with ESS is superior to that of an asocial learner when the success probability of social learning is greater than a threshold determined from the probability of success of individual learning, the probability of change of state of the rMAB, and the number of agents. The ESS Nash equilibrium is a solution to Rogers' paradox.

  9. Punishment sensitivity modulates the processing of negative feedback but not error-induced learning.

    PubMed

    Unger, Kerstin; Heintz, Sonja; Kray, Jutta

    2012-01-01

    Accumulating evidence suggests that individual differences in punishment and reward sensitivity are associated with functional alterations in neural systems underlying error and feedback processing. In particular, individuals highly sensitive to punishment have been found to be characterized by larger mediofrontal error signals as reflected in the error negativity/error-related negativity (Ne/ERN) and the feedback-related negativity (FRN). By contrast, reward sensitivity has been shown to relate to the error positivity (Pe). Given that Ne/ERN, FRN, and Pe have been functionally linked to flexible behavioral adaptation, the aim of the present research was to examine how these electrophysiological reflections of error and feedback processing vary as a function of punishment and reward sensitivity during reinforcement learning. We applied a probabilistic learning task that involved three different conditions of feedback validity (100%, 80%, and 50%). In contrast to prior studies using response competition tasks, we did not find reliable correlations between punishment sensitivity and the Ne/ERN. Instead, higher punishment sensitivity predicted larger FRN amplitudes, irrespective of feedback validity. Moreover, higher reward sensitivity was associated with a larger Pe. However, only reward sensitivity was related to better overall learning performance and higher post-error accuracy, whereas highly punishment sensitive participants showed impaired learning performance, suggesting that larger negative feedback-related error signals were not beneficial for learning or even reflected maladaptive information processing in these individuals. Thus, although our findings indicate that individual differences in reward and punishment sensitivity are related to electrophysiological correlates of error and feedback processing, we found less evidence for influences of these personality characteristics on the relation between performance monitoring and feedback-based learning.

  10. I Like the Way This Feels: Using Classroom Response System Technology to Enhance Tactile Learners' Introductory American Government Experience

    ERIC Educational Resources Information Center

    Ulbig, Stacy G.

    2016-01-01

    Do individual-level student learning styles affect appreciation for and benefit from the use of classroom response system technology? This research investigates the benefit of in-class electronic classroom response systems ("classroom clickers"). With these systems, students answer questions posed to them in a PowerPoint presentation…

  11. Architecture and Design Process of the Individualized Assessment System Integrable to Distance Education Softwares

    ERIC Educational Resources Information Center

    Ozyurt, Hacer; Ozyurt, Ozcan; Baki, Adnan

    2012-01-01

    Assessment is one of the methods used for evaluation of the learning outputs. Nowadays, use of adaptive assessment systems estimating ability level and abilities of the students is becoming widespread instead of traditional assessment systems. Adaptive assessment system evaluates students not only according to their marks that they take in test…

  12. Facilitating the use of implicit memory and learning in the physical therapy management of individuals with Alzheimer disease: a case series.

    PubMed

    White, Laura; Ford, Matthew P; Brown, Cynthia J; Peel, Claire; Triebel, Kristen L

    2014-01-01

    Physical rehabilitation of individuals with Alzheimer disease (AD) is often complicated by impairments in explicit memory and learning. Rehabilitation strategies that facilitate the use of the preserved implicit memory system may be effective in treating patients with AD. The purpose of this case series is to describe the application of these strategies, including high-repetition practice, errorless learning (EL), and spaced retrieval, to the physical therapy management of individuals with moderate AD. Three women aged 89 to 95 years with moderate AD who resided in an assisted living facility participated in physical therapy to address their mobility limitations. Twelve physical therapy sessions were scheduled over a period of 4 weeks. Interventions were individually designed to address the mobility needs of each patient, and rehabilitation strategies based on implicit learning principles were integrated into the interventions. All patients participated in at least 10 of the 12 physical therapy sessions. Improvements in performance of objective measures of balance were observed in all patients, although only 1 patient's balance score exceeded the minimal detectable change. No significant clinical change was observed in any patients on the Timed Up and Go Test or self-selected gait speed. Principles of implicit learning were integrated into the interventions for these patients with moderate AD. However, the feasibility of applying the EL paradigm was limited. Further research on the effectiveness of EL, spaced retrieval, and other rehabilitation strategies that facilitate implicit learning of mobility skills in patients with AD is needed to promote optimal physical therapy outcomes in this patient population.

  13. M3D (Media 3D): a new programming language for web-based virtual reality in E-Learning and Edutainment

    NASA Astrophysics Data System (ADS)

    Chakaveh, Sepideh; Skaley, Detlef; Laine, Patricia; Haeger, Ralf; Maad, Soha

    2003-01-01

    Today, interactive multimedia educational systems are well established, as they prove useful instruments to enhance one's learning capabilities. Hitherto, the main difficulty with almost all E-Learning systems was latent in the rich media implementation techniques. This meant that each and every system should be created individually as reapplying the media, be it only a part, or the whole content was not directly possible, as everything must be applied mechanically i.e. by hand. Consequently making E-learning systems exceedingly expensive to generate, both in time and money terms. Media-3D or M3D is a new platform independent programming language, developed at the Fraunhofer Institute Media Communication to enable visualisation and simulation of E-Learning multimedia content. M3D is an XML-based language, which is capable of distinguishing between the3D models from that of the 3D scenes, as well as handling provisions for animations, within the programme. Here we give a technical account of M3D programming language and briefly describe two specific application scenarios where M3D is applied to create virtual reality E-Learning content for training of technical personnel.

  14. One lens missing? Clarifying the clinical microsystem framework with learning theories.

    PubMed

    Norman, Ann-Charlott; Fritzen, Lena; Fridh, Marianne Lindblad

    2013-01-01

    The clinical microsystem (CMS) approach is widely used and is perceived as helpful in practice but, we ask the question: "Is its learning potential sufficiently utilized?" To scrutinize aspects of learning within the CMS framework and to clarify the learning aspects the framework includes and thereby support the framework with the enhanced learning perspective that becomes visible. Literature on the CMS framework was systematically searched and selected using inclusion criteria. An analytical tool was constructed in the form of a theoretical lens that was used to clarify learning aspects that are associated with the framework. The analysis revealed 3 learning aspects: (1) The CMS framework describes individual and social learning but not how to adapt learning strategies for purposes of change. (2) The metaphorical language of how to reach a holistic health care system for each patient has developed over time but can still be improved by naming social interactions to transcend organizational boundaries. (3) Power structures are recognized but not as a characteristic that restricts learning due to asymmetric communication. The "lens" perspective reveals new meanings to learning that enhance our understanding of health care as a social system and provides new practical learning strategies.

  15. An e-Learning Collaborative Filtering Approach to Suggest Problems to Solve in Programming Online Judges

    ERIC Educational Resources Information Center

    Toledo, Raciel Yera; Mota, Yailé Caballero

    2014-01-01

    The paper proposes a recommender system approach to cover online judge's domains. Online judges are e-learning tools that support the automatic evaluation of programming tasks done by individual users, and for this reason they are usually used for training students in programming contest and for supporting basic programming teachings. The…

  16. Using Systemic and Psychodynamic Psychotherapy with a Couple in a Community Learning Disabilities Context: A Case Study

    ERIC Educational Resources Information Center

    Barnes, Jennifer Clare; Summers, S. J.

    2012-01-01

    This paper describes the process of couple therapy with a client who has a mild learning disability and cerebral palsy, and her partner, who also has cerebral palsy (all information has been anonymised and pseudonyms are used throughout). Informed consent was gained from both individuals for the purposes of writing about their case. Therapy…

  17. Mindgames: Altering Simulations Use at the Brigade Level

    DTIC Science & Technology

    2014-05-22

    Kahneman, Daniel. Thinking, Fast and Slow. New York: Farrar, Strous, and Giroux, 2011. Kolb , David A. Experiential Learning : Experience as the...guidelines utilized in procuring these systems. Contemporary learning theories are discussed to provide a frame of reference to support the idea...and training theory involving both individuals and organizations offers reasons to either emphasize or change some training requirements in order to

  18. vPELS: An E-Learning Social Environment for VLSI Design with Content Security Using DRM

    ERIC Educational Resources Information Center

    Dewan, Jahangir; Chowdhury, Morshed; Batten, Lynn

    2014-01-01

    This article provides a proposal for personal e-learning system (vPELS [where "v" stands for VLSI: very large scale integrated circuit])) architecture in the context of social network environment for VLSI Design. The main objective of vPELS is to develop individual skills on a specific subject--say, VLSI--and share resources with peers.…

  19. Lifelong Guidance: How Guidance and Counselling Support Lifelong Learning in the Contrasting Contexts of China and Denmark

    ERIC Educational Resources Information Center

    Zhang, Zhixin

    2016-01-01

    Due to the effects of globalisation and rapid technological development, traditional linear life course patterns of the past are gradually disappearing, and this affects education and learning systems as well as labour markets. Individuals are forced to develop lifestyles and survival strategies to manage job insecurity and make their skills and…

  20. A Calendar Savant with Episodic Memory Impairments

    PubMed Central

    Olson, Ingrid R.; Berryhill, Marian E.; Drowos, David B.; Brown, Lawrence; Chatterjee, Anjan

    2010-01-01

    Patients with memory disorders have severely restricted learning and memory. For instance, patients with anterograde amnesia can learn motor procedures as well as retaining some restricted ability to learn new words and factual information. However, such learning is inflexible and frequently inaccessible to conscious awareness. Here we present a case of patient AC596, a 25-year old male with severe episodic memory impairments, presumably due to anoxia during a preterm birth. In contrast to his poor episodic memory, he exhibits savant-like memory for calendar information that can be flexibly accessed by day, month, and year cues. He also has the ability to recollect the exact date of a wide range of personal experiences over the past 20 years. The patient appears to supplement his generally poor episodic memory by using memorized calendar information as a retrieval cue for autobiographical events. These findings indicate that islands of preserved memory functioning, such as a highly developed semantic memory system, can exist in individuals with severely impaired episodic memory systems. In this particular case, our patient’s memory for dates far outstripped that of normal individuals and served as a keen retrieval cue, allowing him to access information that was otherwise unavailable. PMID:20104390

  1. Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface

    PubMed Central

    Waytowich, Nicholas R.; Lawhern, Vernon J.; Bohannon, Addison W.; Ball, Kenneth R.; Lance, Brent J.

    2016-01-01

    Recent advances in signal processing and machine learning techniques have enabled the application of Brain-Computer Interface (BCI) technologies to fields such as medicine, industry, and recreation; however, BCIs still suffer from the requirement of frequent calibration sessions due to the intra- and inter-individual variability of brain-signals, which makes calibration suppression through transfer learning an area of increasing interest for the development of practical BCI systems. In this paper, we present an unsupervised transfer method (spectral transfer using information geometry, STIG), which ranks and combines unlabeled predictions from an ensemble of information geometry classifiers built on data from individual training subjects. The STIG method is validated in both off-line and real-time feedback analysis during a rapid serial visual presentation task (RSVP). For detection of single-trial, event-related potentials (ERPs), the proposed method can significantly outperform existing calibration-free techniques as well as outperform traditional within-subject calibration techniques when limited data is available. This method demonstrates that unsupervised transfer learning for single-trial detection in ERP-based BCIs can be achieved without the requirement of costly training data, representing a step-forward in the overall goal of achieving a practical user-independent BCI system. PMID:27713685

  2. Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface.

    PubMed

    Waytowich, Nicholas R; Lawhern, Vernon J; Bohannon, Addison W; Ball, Kenneth R; Lance, Brent J

    2016-01-01

    Recent advances in signal processing and machine learning techniques have enabled the application of Brain-Computer Interface (BCI) technologies to fields such as medicine, industry, and recreation; however, BCIs still suffer from the requirement of frequent calibration sessions due to the intra- and inter-individual variability of brain-signals, which makes calibration suppression through transfer learning an area of increasing interest for the development of practical BCI systems. In this paper, we present an unsupervised transfer method (spectral transfer using information geometry, STIG), which ranks and combines unlabeled predictions from an ensemble of information geometry classifiers built on data from individual training subjects. The STIG method is validated in both off-line and real-time feedback analysis during a rapid serial visual presentation task (RSVP). For detection of single-trial, event-related potentials (ERPs), the proposed method can significantly outperform existing calibration-free techniques as well as outperform traditional within-subject calibration techniques when limited data is available. This method demonstrates that unsupervised transfer learning for single-trial detection in ERP-based BCIs can be achieved without the requirement of costly training data, representing a step-forward in the overall goal of achieving a practical user-independent BCI system.

  3. Privacy Impact Assessment for the Integrated Financial Management System

    EPA Pesticide Factsheets

    This system contact information and Social Security Numbers for individuals who owe, or are owed money by the EPA. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

  4. Privacy Impact Assessment for the Libby Asbestos Exposure Assessment Records

    EPA Pesticide Factsheets

    This system collects health screening results for individuals in Libby, Montana. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

  5. Creating Business Intelligence from Course Management Systems

    ERIC Educational Resources Information Center

    van Dyk, Liezl; Conradie, Pieter

    2007-01-01

    Purpose: This article seeks to address the interface between individual learning facilitators that use course management systems (CMS) data to support decision-making and course design and institutional infrastructure providers that are responsible for institutional business intelligence. Design/methodology/approach: The design of a data warehouse…

  6. You and the System: An Alternative to Revolution.

    ERIC Educational Resources Information Center

    Rodeck, Mrs. Willard; And Others

    This curriculum guide for secondary grades encourages new young voters to understand and participate in the political system. A major objective is to help students consider the political system as an agent of change, and, moreover, to help them understand how individuals control, influence, and change government. Students learn that there are many…

  7. Self, System, Synergy: A Career-Life Development Framework for Individuals and Organizations.

    ERIC Educational Resources Information Center

    Gelatt, H. B.

    1998-01-01

    The Self-System-Synergy model provides the philosophical framework for the concept of career resiliency, which has become the basis for many organizational initiatives. The three elements are self-reliance (the power of personal beliefs), interdependence (the connectedness of multiple systems), and self-renewal through continuous learning. (JOW)

  8. Starledger: A Business Activity Model Using SAP R/3 as a Classroom Tool to Measure Learning Outcomes

    ERIC Educational Resources Information Center

    Ragan, Joseph M.; Leahan, Zachary B.; Malonoski, Robert G.; Savino, Christopher J.

    2010-01-01

    Integrating enterprise system applications within the accounting curriculum has been a major challenge for over eight years. Enterprise systems education is surprisingly well documented within the literature of enterprise system education. Not surprisingly, most of these papers provide a descriptive study of individual experiences of an…

  9. Resident Self-Assessment and Learning Goal Development: Evaluation of Resident-Reported Competence and Future Goals.

    PubMed

    Li, Su-Ting T; Paterniti, Debora A; Tancredi, Daniel J; Burke, Ann E; Trimm, R Franklin; Guillot, Ann; Guralnick, Susan; Mahan, John D

    2015-01-01

    To determine incidence of learning goals by competency area and to assess which goals fall into competency areas with lower self-assessment scores. Cross-sectional analysis of existing deidentified American Academy of Pediatrics' PediaLink individualized learning plan data for the academic year 2009-2010. Residents self-assessed competencies in the 6 Accreditation Council for Graduate Medical Education (ACGME) competency areas and wrote learning goals. Textual responses for goals were mapped to 6 ACGME competency areas, future practice, or personal attributes. Adjusted mean differences and associations were estimated using multiple linear and logistic regression. A total of 2254 residents reported 6078 goals. Residents self-assessed their systems-based practice (51.8) and medical knowledge (53.0) competencies lowest and professionalism (68.9) and interpersonal and communication skills (62.2) highest. Residents were most likely to identify goals involving medical knowledge (70.5%) and patient care (50.5%) and least likely to write goals on systems-based practice (11.0%) and professionalism (6.9%). In logistic regression analysis adjusting for postgraduate year (PGY), gender, and degree type (MD/DO), resident-reported goal area showed no association with the learner's relative self-assessment score for that competency area. In the conditional logistic regression analysis, with each learner serving as his or her own control, senior residents (PGY2/3+s) who rated themselves relatively lower in a competency area were more likely to write a learning goal in that area than were PGY1s. Senior residents appear to develop better skills and/or motivation to explicitly turn self-assessed learning gaps into learning goals, suggesting that individualized learning plans may help improve self-regulated learning during residency. Copyright © 2015 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

  10. A review on machine learning principles for multi-view biological data integration.

    PubMed

    Li, Yifeng; Wu, Fang-Xiang; Ngom, Alioune

    2018-03-01

    Driven by high-throughput sequencing techniques, modern genomic and clinical studies are in a strong need of integrative machine learning models for better use of vast volumes of heterogeneous information in the deep understanding of biological systems and the development of predictive models. How data from multiple sources (called multi-view data) are incorporated in a learning system is a key step for successful analysis. In this article, we provide a comprehensive review on omics and clinical data integration techniques, from a machine learning perspective, for various analyses such as prediction, clustering, dimension reduction and association. We shall show that Bayesian models are able to use prior information and model measurements with various distributions; tree-based methods can either build a tree with all features or collectively make a final decision based on trees learned from each view; kernel methods fuse the similarity matrices learned from individual views together for a final similarity matrix or learning model; network-based fusion methods are capable of inferring direct and indirect associations in a heterogeneous network; matrix factorization models have potential to learn interactions among features from different views; and a range of deep neural networks can be integrated in multi-modal learning for capturing the complex mechanism of biological systems.

  11. Mind map learning for advanced engineering study: case study in system dynamics

    NASA Astrophysics Data System (ADS)

    Woradechjumroen, Denchai

    2018-01-01

    System Dynamics (SD) is one of the subjects that were use in learning Automatic Control Systems in dynamic and control field. Mathematical modelling and solving skills of students for engineering systems are expecting outcomes of the course which can be further used to efficiently study control systems and mechanical vibration; however, the fundamental of the SD includes strong backgrounds in Dynamics and Differential Equations, which are appropriate to the students in governmental universities that have strong skills in Mathematics and Scientifics. For private universities, students are weak in the above subjects since they obtained high vocational certificate from Technical College or Polytechnic School, which emphasize the learning contents in practice. To enhance their learning for improving their backgrounds, this paper applies mind maps based problem based learning to relate the essential relations of mathematical and physical equations. With the advantages of mind maps, each student is assigned to design individual mind maps for self-leaning development after they attend the class and learn overall picture of each chapter from the class instructor. Four problems based mind maps learning are assigned to each student. Each assignment is evaluated via mid-term and final examinations, which are issued in terms of learning concepts and applications. In the method testing, thirty students are tested and evaluated via student learning backgrounds in the past. The result shows that well-design mind maps can improve learning performance based on outcome evaluation. Especially, mind maps can reduce time-consuming and reviewing for Mathematics and Physics in SD significantly.

  12. A Comparison of the Efficacy of Individual and Collaborative Music Learning in Ensemble Rehearsals

    ERIC Educational Resources Information Center

    Brandler, Brian J.; Peynircioglu, Zehra F.

    2015-01-01

    Collaboration is essential in learning ensemble music. It is unclear, however, whether an individual benefits more from collaborative or individual rehearsal in the initial stages of such learning. In nonmusical domains, the effect of collaboration has been mixed, sometimes enhancing and sometimes inhibiting an individual's learning process. In…

  13. Learning Alone or Together? A Combination Can Be Best!

    ERIC Educational Resources Information Center

    Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent

    2017-01-01

    Collaborative and individual learning are both frequently used in classrooms to support learning. However, little research has investigated the benefits of combining individual and collaborative learning, as compared to learning only individually or only collaboratively. With our study, we address this research gap. We compared a combined…

  14. Managing Contextual Complexity in an Experiential Learning Course: A Dynamic Systems Approach through the Identification of Turning Points in Students' Emotional Trajectories

    PubMed Central

    Nogueiras, Gloria; Kunnen, E. Saskia; Iborra, Alejandro

    2017-01-01

    This study adopts a dynamic systems approach to investigate how individuals successfully manage contextual complexity. To that end, we tracked individuals' emotional trajectories during a challenging training course, seeking qualitative changes–turning points—and we tested their relationship with the perceived complexity of the training. The research context was a 5-day higher education course based on process-oriented experiential learning, and the sample consisted of 17 students. The students used a five-point Likert scale to rate the intensity of 16 emotions and the complexity of the training on 8 measurement points. Monte Carlo permutation tests enabled to identify 30 turning points in the 272 emotional trajectories analyzed (17 students * 16 emotions each). 83% of the turning points indicated a change of pattern in the emotional trajectories that consisted of: (a) increasingly intense positive emotions or (b) decreasingly intense negative emotions. These turning points also coincided with particularly complex periods in the training as perceived by the participants (p = 0.003, and p = 0.001 respectively). The relationship between positively-trended turning points in the students' emotional trajectories and the complexity of the training may be interpreted as evidence of a successful management of the cognitive conflict arising from the clash between the students' prior ways of meaning-making and the challenging demands of the training. One of the strengths of this study is that it provides a relatively simple procedure for identifying turning points in developmental trajectories, which can be applied to various longitudinal experiences that are very common in educational and developmental contexts. Additionally, the findings contribute to sustaining that the assumption that complex contextual demands lead unfailingly to individuals' learning is incomplete. Instead, it is how individuals manage complexity which may or may not lead to learning. Finally, this study can also be considered a first step in research on the developmental potential of process-oriented experiential learning training. PMID:28515703

  15. A simple computational algorithm of model-based choice preference.

    PubMed

    Toyama, Asako; Katahira, Kentaro; Ohira, Hideki

    2017-08-01

    A broadly used computational framework posits that two learning systems operate in parallel during the learning of choice preferences-namely, the model-free and model-based reinforcement-learning systems. In this study, we examined another possibility, through which model-free learning is the basic system and model-based information is its modulator. Accordingly, we proposed several modified versions of a temporal-difference learning model to explain the choice-learning process. Using the two-stage decision task developed by Daw, Gershman, Seymour, Dayan, and Dolan (2011), we compared their original computational model, which assumes a parallel learning process, and our proposed models, which assume a sequential learning process. Choice data from 23 participants showed a better fit with the proposed models. More specifically, the proposed eligibility adjustment model, which assumes that the environmental model can weight the degree of the eligibility trace, can explain choices better under both model-free and model-based controls and has a simpler computational algorithm than the original model. In addition, the forgetting learning model and its variation, which assume changes in the values of unchosen actions, substantially improved the fits to the data. Overall, we show that a hybrid computational model best fits the data. The parameters used in this model succeed in capturing individual tendencies with respect to both model use in learning and exploration behavior. This computational model provides novel insights into learning with interacting model-free and model-based components.

  16. Undergraduate Research as a Process for STEM Teaching and Learning Systemic Change: Lessons Learned from the Council on Undergraduate Research NSF CCLI and TUES Projects

    NASA Astrophysics Data System (ADS)

    Ambos, E. L.; Havholm, K. G.; Malachowski, M.; Osborn, J.; Karukstis, K.

    2013-12-01

    For more than seven years, the Council on Undergraduate Research (CUR), the primary organization supporting programs, services, and advocacy for undergraduate research, has been working with support from the NSF's Division of Undergraduate Education (DUE) to enhance, sustain, and institutionalize undergraduate research in diverse STEM disciplines and higher education settings. The Council on Undergraduate Research comprises more than 9000 individual and 670 institutional members within a divisional structure that includes geosciences, as well as 11 other thematic areas. Through its most recent grant: 'Transformational Learning through Undergraduate Research: Comprehensive Support for Faculty, Institutions, State Systems and Consortia' (NSF DUE CCLI III Award #09-20275), CUR has been collaborating with six higher education systems, each selected after a rigorous national application process in 2010 and 2011. These six systems, which collectively represent 79 individual institutions, are the Council of Public Liberal Arts Colleges (COPLAC), University of Wisconsin System (UWS), California State University System (CSU), City University of New York (CUNY), Great Lakes Colleges Association (GLCA), and Pennsylvania State System of Higher Education (PASSHE). The more than 350 participants of faculty and senior-level administrators from the six systems are engaged in shared multi-faceted and multi-year professional development experiences. Teams from each system attended customized institutes facilitated by CUR experts in 2011-2012, during which the teams developed specific action plans focused on institutionalizing undergraduate research on their campus and within their system. The systems were reconvened as a group a year after the first institute, to chart progress toward achieving their goals. Based on interviews and surveys with participants, campus teams are making substantial progress toward implementation of robust undergraduate research programs, and are making concerted efforts to affect policy, workload, tenure and promotion and resource issues, which are often core factors in any STEM education change process. Several systems are now connecting individual campus-based undergraduate research efforts more effectively, and tying undergraduate research to regional workforce and economic development programs. Many campus teams are moving their department and colleges toward curricular innovations that emphasize scaffolding undergraduate research throughout the undergraduate curriculum. An NSF EAGER/WIDER supplement to the CUR CCLI III award was received in October 2012 and expanded the scope of the project to include deeper study of the changes processes underway at each of the six systems and to tease out the factors that can either promote or retard expansion of undergraduate research as a teaching and learning paradigm. Lessons learned from one of the six systems, the University of Wisconsin, will be highlighted.

  17. Student Mastery of the Sun-Earth-Moon System in a Flipped Classroom of Pre-service Elementary Education Students

    NASA Astrophysics Data System (ADS)

    Larsen, Kristine

    2014-01-01

    One of the current trends in pedagogy at all levels(K-college) is the so-called ‘flipped classroom’, in which students prepare for a class meeting through self-study of the material. It is based on a rejection of the classic model of the faculty member as the ‘sage on the stage’ instead, responsibility for learning shifts to the individual student. The faculty member takes on the role of learning facilitator or mentor, and focuses the students’ learning by crafting and administering timely formative assessments (in multiple formats and applied multiple times) that aid both students and the faculty member in tracking the students’ mastery of the learning outcomes. In a flipped, freshman-only, section of SCI 111 Elementary Earth-Physical Sciences (a required introductory science course for pre-service elementary school teachers) the students learned through a combination of individual and group hands-on in-class activities, technology (including PowerPoint presentations and short videos viewed prior to attending class), in-class worksheets, and in-class discussions. Students self-differentiated in how they interacted with the available teaching materials, deciding which activities to spend the most time on based on their individual needs (based on an online quiz taken the night before the class period, and their personal self-confidence with the material). Available in-class activities and worksheets were developed by the faculty member based on student scores on the online quiz as well as personal messages submitted through the course management system the night before the class meeting. While this placed a significant burden on the faculty member in terms of course preparation, it allowed for just-in-time teaching to take place. This poster describes the results of student mastery of content centered on the sun-earth-moon system (specifically seasons, moon phases, and eclipses) as compared to traditional classroom sections.

  18. An Interactive Attention Board: Improving the Attention of Individuals with Autism and Mental Retardation

    ERIC Educational Resources Information Center

    Sahin, Yasar Guneri; Cimen, Fatih Mehmet

    2011-01-01

    This paper presents a tool named "Interactive Attention Board" (IAB) and an associated software named "Interactive Attention Boards Software" (IABS) for individuals with Mental Retardation and Autism. The proposed system is based on several theories such as perception and learning theories, and it is intended to improve hand-eye coordination and…

  19. "A Cellular Encounter": Constructing the Cell as a Whole System Using Illustrative Models

    ERIC Educational Resources Information Center

    Cohen, Joel I.

    2014-01-01

    A standard part of biology curricula is a project-based assessment of cell structure and function. However, these are often individual assignments that promote little problem-solving or group learning and avoid the subject of organelle chemical interactions. I evaluate a model-based cell project designed to foster group and individual guided…

  20. Cultivating an Inclusive Individuality: Critical Reflections on the Idea of Quality Education in Contemporary China

    ERIC Educational Resources Information Center

    Zhang, Huajun

    2010-01-01

    Quality education reform in China gives high importance to developing the individual's full potential. However, the education system is dominated by a kind of exclusive competitiveness in which high stakes examinations shape the learning process. This paper seeks to bring a philosophical perspective regarding the disjunction between the intent of…

  1. Re-Thinking Assessment: Self- and Peer-Assessment as Drivers of Self-Direction in Learning

    ERIC Educational Resources Information Center

    Harrison, Kathy; O'Hara, Joe; McNamara, Gerry

    2015-01-01

    Problem Statement: This paper focuses on assessment in Irish education, which, despite best intentions, shepherds students through the process to an extent that the individual is prone to undervalue her/his ability to trust in the self as a rational, self-thinking individual. In Ireland's assessment system lies the paradox whereby from childhood…

  2. Children in the Learning Factory: The Search for a Humanizing Teacher.

    ERIC Educational Resources Information Center

    Flescher, Irwin

    According to this book of "psychological talks to parents and teachers," the American education system is a major social tragedy because it fails to recognize the potential of the individual. Individual differences are often ignored in the "assembly-line" approach to education and labeling children according to test scores is a way of dehumanizing…

  3. You've Been Evaluated. Now What?: Use Results to Pump up Professional Learning's Potential

    ERIC Educational Resources Information Center

    Hirsh, Stephanie

    2013-01-01

    This school year, countless teachers are participating in new evaluation systems. Individual teachers working on their own examining evaluation feedback will have valuable information to inform individual improvement. However, teacher evaluations have the potential to achieve more, and to do it more quickly, when they are part of a comprehensive…

  4. Infantile Amnesia: A Critical Period of Learning to Learn and Remember

    PubMed Central

    Travaglia, Alessio

    2017-01-01

    Infantile amnesia, the inability of adults to recollect early episodic memories, is associated with the rapid forgetting that occurs in childhood. It has been suggested that infantile amnesia is due to the underdevelopment of the infant brain, which would preclude memory consolidation, or to deficits in memory retrieval. Although early memories are inaccessible to adults, early-life events, such as neglect or aversive experiences, can greatly impact adult behavior and may predispose individuals to various psychopathologies. It remains unclear how a brain that rapidly forgets, or is not yet able to form long-term memories, can exert such a long-lasting and important influence. Here, with a particular focus on the hippocampal memory system, we review the literature and discuss new evidence obtained in rats that illuminates the paradox of infantile amnesia. We propose that infantile amnesia reflects a developmental critical period during which the learning system is learning how to learn and remember. PMID:28615475

  5. Designing a Digital Instructional Management System To Optimize Early Education.

    ERIC Educational Resources Information Center

    Mooij, Ton

    2002-01-01

    Discusses digital instructional management systems (DIMSs) and describes a pilot study conducted in two Dutch kindergartens with a prototype DIMS that included individualization and optimization, that is matching curriculum with learner characteristics. Topics include learning processes for children at risk; and future plans. (LRW)

  6. Fetal Alcohol Spectrum Disorders and the Criminal Justice System

    ERIC Educational Resources Information Center

    Fast, Diane K.; Conry, Julianne

    2009-01-01

    The life-long neurological impairments found in people with fetal alcohol spectrum disorders (FASDs), including learning disabilities, impulsivity, hyperactivity, social ineptness, and poor judgment, can increase susceptibility to victimization and involvement in the criminal justice system (CJS). Individuals with FASDs become involved in the CJS…

  7. Development of a health care systems curriculum.

    PubMed

    Pruitt, Zachary; Mhaskar, Rahul; Kane, Bryan G; Barraco, Robert D; DeWaay, Deborah J; Rosenau, Alex M; Bresnan, Kristin A; Greenberg, Marna Rayl

    2017-01-01

    There is currently no gold standard for delivery of systems-based practice in medical education, and it is challenging to incorporate into medical education. Health systems competence requires physicians to understand patient care within the broader health care system and is vital to improving the quality of care clinicians provide. We describe a health systems curriculum that utilizes problem-based learning across 4 years of systems-based practice medical education at a single institution. This case study describes the application of a problem-based learning approach to system-based practice medical education. A series of behavioral statements, called entrustable professional activities, was created to assess student health system competence. Student evaluation of course curriculum design, delivery, and assessment was provided through web-based surveys. To meet competency standards for system-based practice, a health systems curriculum was developed and delivered across 4 years of medical school training. Each of the health system lectures and problem-based learning activities are described herein. The majority of first and second year medical students stated they gained working knowledge of health systems by engaging in these sessions. The majority of the 2016 graduating students (88.24%) felt that the course content, overall, prepared them for their career. A health systems curriculum in undergraduate medical education using a problem-based learning approach is feasible. The majority of students learning health systems curriculum through this format reported being prepared to improve individual patient care and optimize the health system's value (better care and health for lower cost).

  8. [Neurodynamic Bases of Imitation Learning and Episodic Memory].

    PubMed

    Tsukerman, V D

    2016-01-01

    In this review, three essentially important processes in development of cognitive behavior are considered: knowledge of a spatial environment by means of physical activity, coding and a call of an existential context of episodic memory and imitation learning based on the mirror neural mechanism. The data show that the parietal and frontal system of learning by imitation, allows the developing organism to seize skills of management and motive synergies in perisomatic space, to understand intentions and the purposes of observed actions of other individuals. At the same time a widely distributed parietal and frontal and entorhinal-hippocampal system mediates spatial knowledge and the solution of the navigation tasks important for creation of an existential context of episodic memory.

  9. Developmental regulation of fear learning and anxiety behavior by endocannabinoids.

    PubMed

    Lee, T T-Y; Hill, M N; Lee, F S

    2016-01-01

    The developing brain undergoes substantial maturation into adulthood and the development of specific neural structures occurs on differing timelines. Transient imbalances between developmental trajectories of corticolimbic structures, which are known to contribute to regulation over fear learning and anxiety, can leave an individual susceptible to mental illness, particularly anxiety disorders. There is a substantial body of literature indicating that the endocannabinoid (eCB) system critically regulates stress responsivity and emotional behavior throughout the life span, making this system a novel therapeutic target for stress- and anxiety-related disorders. During early life and adolescence, corticolimbic eCB signaling changes dynamically and coincides with different sensitive periods of fear learning, suggesting that eCB signaling underlies age-specific fear learning responses. Moreover, perturbations to these normative fluctuations in corticolimbic eCB signaling, such as stress or cannabinoid exposure, could serve as a neural substrate contributing to alterations to the normative developmental trajectory of neural structures governing emotional behavior and fear learning. In this review, we first introduce the components of the eCB system and discuss clinical and rodent models showing eCB regulation of fear learning and anxiety in adulthood. Next, we highlight distinct fear learning and regulation profiles throughout development and discuss the ontogeny of the eCB system in the central nervous system, and models of pharmacological augmentation of eCB signaling during development in the context of fear learning and anxiety. © 2015 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.

  10. The left hemisphere learns what is right: Hemispatial reward learning depends on reinforcement learning processes in the contralateral hemisphere.

    PubMed

    Aberg, Kristoffer Carl; Doell, Kimberly Crystal; Schwartz, Sophie

    2016-08-01

    Orienting biases refer to consistent, trait-like direction of attention or locomotion toward one side of space. Recent studies suggest that such hemispatial biases may determine how well people memorize information presented in the left or right hemifield. Moreover, lesion studies indicate that learning rewarded stimuli in one hemispace depends on the integrity of the contralateral striatum. However, the exact neural and computational mechanisms underlying the influence of individual orienting biases on reward learning remain unclear. Because reward-based behavioural adaptation depends on the dopaminergic system and prediction error (PE) encoding in the ventral striatum, we hypothesized that hemispheric asymmetries in dopamine (DA) function may determine individual spatial biases in reward learning. To test this prediction, we acquired fMRI in 33 healthy human participants while they performed a lateralized reward task. Learning differences between hemispaces were assessed by presenting stimuli, assigned to different reward probabilities, to the left or right of central fixation, i.e. presented in the left or right visual hemifield. Hemispheric differences in DA function were estimated through differential fMRI responses to positive vs. negative feedback in the left vs. right ventral striatum, and a computational approach was used to identify the neural correlates of PEs. Our results show that spatial biases favoring reward learning in the right (vs. left) hemifield were associated with increased reward responses in the left hemisphere and relatively better neural encoding of PEs for stimuli presented in the right (vs. left) hemifield. These findings demonstrate that trait-like spatial biases implicate hemisphere-specific learning mechanisms, with individual differences between hemispheres contributing to reinforcing spatial biases. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Managing Your Mathematics Program: A Total System. A Guide to the U-SAIL Basic Mathematics System.

    ERIC Educational Resources Information Center

    Hales, Carma M.; Jones, Maurine E.

    The Utah System Approach to Individual Learning (U-SAIL) Mathematics System was developed to make it possible for teachers to provide excellence in arithmetic instruction. It is based on the premise that in order to teach arithmetic well, teachers must accurately assess, teach directly, provide students with focused practice, corrective feedback,…

  12. Conceptions of how a learning or teaching curriculum, workplace culture and agency of individuals shape medical student learning and supervisory practices in the clinical workplace.

    PubMed

    Strand, Pia; Edgren, Gudrun; Borna, Petter; Lindgren, Stefan; Wichmann-Hansen, Gitte; Stalmeijer, Renée E

    2015-05-01

    The role of workplace supervisors in the clinical education of medical students is currently under debate. However, few studies have addressed how supervisors conceptualize workplace learning and how conceptions relate to current sociocultural workplace learning theory. We explored physician conceptions of: (a) medical student learning in the clinical workplace and (b) how they contribute to student learning. The methodology included a combination of a qualitative, inductive (conventional) and deductive (directed) content analysis approach. The study triangulated two types of interview data from 4 focus group interviews and 34 individual interviews. A total of 55 physicians participated. Three overarching themes emerged from the data: learning as membership, learning as partnership and learning as ownership. The themes described how physician conceptions of learning and supervision were guided by the notions of learning-as-participation and learning-as-acquisition. The clinical workplace was either conceptualized as a context in which student learning is based on a learning curriculum, continuity of participation and partnerships with supervisors, or as a temporary source of knowledge within a teaching curriculum. The process of learning was shaped through the reciprocity between different factors in the workplace context and the agency of students and supervising physicians. A systems-thinking approach merged with the "co-participation" conceptual framework advocated by Billet proved to be useful for analyzing variations in conceptions. The findings suggest that mapping workplace supervisor conceptions of learning can be a valuable starting point for medical schools and educational developers working with changes in clinical educational and faculty development practices.

  13. Analyzing Convergence in e-Learning Resource Filtering Based on ACO Techniques: A Case Study with Telecommunication Engineering Students

    ERIC Educational Resources Information Center

    Munoz-Organero, Mario; Ramirez, Gustavo A.; Merino, Pedro Munoz; Kloos, Carlos Delgado

    2010-01-01

    The use of swarm intelligence techniques in e-learning scenarios provides a way to combine simple interactions of individual students to solve a more complex problem. After getting some data from the interactions of the first students with a central system, the use of these techniques converges to a solution that the rest of the students can…

  14. Understanding of the Alphabetic Principle through Invented Spelling among Hearing-Impaired Children Learning to Read and Write: Experimentation with a Pedagogical Approach

    ERIC Educational Resources Information Center

    Sirois, Pauline; Boisclair, Andree; Giasson, Jocelyne

    2008-01-01

    Given the problems experienced by hearing-impaired individuals in learning the written language, a pedagogical approach was tested. The study examined the links between the development of representations of alphabetic system and the results in reading and writing of first graders. In the study, there were 31 hearing-impaired children and 25…

  15. Use of individualized learning plans among fourth-year sub-interns in pediatrics and internal medicine.

    PubMed

    Shepard, Michelle E; Sastre, Elizabeth A; Davidson, Mario A; Fleming, Amy E

    2012-01-01

    Individualized Learning Plans (ILPs) are an effective tool for promoting self-directed learning among residents. However, no literature details ILP use among medical students. Fifty fourth-year sub-interns in pediatrics and internal medicine created ILPs, including a self-assessment of strengths and weaknesses based on ACGME core competencies and the setting of learning objectives. During weekly follow-up meetings with faculty mentors and peers, students discussed challenges and revised goals. Upon completion of the rotation, students completed a survey of Likert-scale questions addressing satisfaction with and perceived utility of ILP components. Students most often self-identified strengths in the areas of Professionalism and Interpersonal and Communication Skills and weaknesses in Patient Care and Systems-Based Practice. Eighty-two percent set at least one learning objective in an identified area of weakness. Students expressed high confidence in their abilities to create achievable learning objectives and to generate strategies to meet those objectives. Students agreed that discussions during group meetings were meaningful, and they identified the setting learning objectives and weekly meetings as the most important elements of the exercise. Fourth-year sub-interns reported that ILPs helped them to accomplish rotation goals, with the setting of learning objectives and weekly discussions being the most useful elements.

  16. Individual differences in implicit motor learning: task specificity in sensorimotor adaptation and sequence learning

    PubMed Central

    Raza, Meher; Ivry, Richard B.

    2016-01-01

    In standard taxonomies, motor skills are typically treated as representative of implicit or procedural memory. We examined two emblematic tasks of implicit motor learning, sensorimotor adaptation and sequence learning, asking whether individual differences in learning are correlated between these tasks, as well as how individual differences within each task are related to different performance variables. As a prerequisite, it was essential to establish the reliability of learning measures for each task. Participants were tested twice on a visuomotor adaptation task and on a sequence learning task, either the serial reaction time task or the alternating reaction time task. Learning was evident in all tasks at the group level and reliable at the individual level in visuomotor adaptation and the alternating reaction time task but not in the serial reaction time task. Performance variability was predictive of learning in both domains, yet the relationship was in the opposite direction for adaptation and sequence learning. For the former, faster learning was associated with lower variability, consistent with models of sensorimotor adaptation in which learning rates are sensitive to noise. For the latter, greater learning was associated with higher variability and slower reaction times, factors that may facilitate the spread of activation required to form predictive, sequential associations. Interestingly, learning measures of the different tasks were not correlated. Together, these results oppose a shared process for implicit learning in sensorimotor adaptation and sequence learning and provide insight into the factors that account for individual differences in learning within each task domain. NEW & NOTEWORTHY We investigated individual differences in the ability to implicitly learn motor skills. As a prerequisite, we assessed whether individual differences were reliable across test sessions. We found that two commonly used tasks of implicit learning, visuomotor adaptation and the alternating serial reaction time task, exhibited good test-retest reliability in measures of learning and performance. However, the learning measures did not correlate between the two tasks, arguing against a shared process for implicit motor learning. PMID:27832611

  17. Social Learning as a Way to Overcome Choice-Induced Preferences? Insights from Humans and Rhesus Macaques

    PubMed Central

    Monfardini, Elisabetta; Gaveau, Valérie; Boussaoud, Driss; Hadj-Bouziane, Fadila; Meunier, Martine

    2012-01-01

    Much theoretical attention is currently devoted to social learning. Yet, empirical studies formally comparing its effectiveness relative to individual learning are rare. Here, we focus on free choice, which is at the heart of individual reward-based learning, but absent in social learning. Choosing among two equally valued options is known to create a preference for the selected option in both humans and monkeys. We thus surmised that social learning should be more helpful when choice-induced preferences retard individual learning than when they optimize it. To test this prediction, the same task requiring to find which among two items concealed a reward was applied to rhesus macaques and humans. The initial trial was individual or social, rewarded or unrewarded. Learning was assessed on the second trial. Choice-induced preference strongly affected individual learning. Monkeys and humans performed much more poorly after an initial negative choice than after an initial positive choice. Comparison with social learning verified our prediction. For negative outcome, social learning surpassed or at least equaled individual learning in all subjects. For positive outcome, the predicted superiority of individual learning did occur in a majority of subjects (5/6 monkeys and 6/12 humans). A minority kept learning better socially though, perhaps due to a more dominant/aggressive attitude toward peers. Poor learning from errors due to over-valuation of personal choices is among the decision-making biases shared by humans and animals. The present study suggests that choice-immune social learning may help curbing this potentially harmful tendency. Learning from successes is an easier path. The present data suggest that whether one tends to walk it alone or with a peer’s help might depend on the social dynamics within the actor/observer dyad. PMID:22969703

  18. [E-Learning in radiology; the practical use of the content management system ILIAS].

    PubMed

    Schütze, B; Mildenberger, P; Kämmerer, M

    2006-05-01

    Due to the possibility of using different kinds of visualization, e-learning has the advantage of allowing individualized learning. A check should be performed to determine whether the use of the web-based content management system ILIAS simplifies the writing and production of electronic learning modules in radiology. Internet-based e-learning provides access to existing learning modules regardless of time and location, since fast Internet connections are readily available. Web Content Management Systems (WCMS) are suitable platforms for imparting radiology-related information (visual abilities like the recognition of patterns as well as interdisciplinary specialized knowledge). The open source product ILIAS is a free WCMS. It is used by many universities and is accepted by both students and lecturers. Its modular and object-oriented software architecture makes it easy to adapt and enlarge the platform. The employment of e-learning standards such as LOM and SCORM within ILIAS makes it possible to reuse contents, even if the platform has to be changed. ILIAS renders it possible to provide students with texts, images, or files of any other kind within a learning context which is defined by the lecturer. Students can check their acquired knowledge via online testing and receive direct performance feedback. The significant interest that students have shown in ILIAS proves that e-learning can be a useful addition to conventional learning methods.

  19. Types of Seizures Affecting Individuals with TSC

    MedlinePlus

    ... Cannabis you can review. *New Terms for Seizure Classifications The International League Against Epilepsy has approved a ... seizures. This new system will make diagnosis and classification of seizures easier and more accurate. Learn more ...

  20. A typology of time-scale mismatches and behavioral interventions to diagnose and solve conservation problems

    USGS Publications Warehouse

    Wilson, Robyn S.; Hardisty, David J.; Epanchin-Niell, Rebecca S.; Runge, Michael C.; Cottingham, Kathryn L.; Urban, Dean L.; Maguire, Lynn A.; Hastings, Alan; Mumby, Peter J.; Peters, Debra P.C.

    2016-01-01

    Ecological systems often operate on time scales significantly longer or shorter than the time scales typical of human decision making, which causes substantial difficulty for conservation and management in socioecological systems. For example, invasive species may move faster than humans can diagnose problems and initiate solutions, and climate systems may exhibit long-term inertia and short-term fluctuations that obscure learning about the efficacy of management efforts in many ecological systems. We adopted a management-decision framework that distinguishes decision makers within public institutions from individual actors within the social system, calls attention to the ways socioecological systems respond to decision makers’ actions, and notes institutional learning that accrues from observing these responses. We used this framework, along with insights from bedeviling conservation problems, to create a typology that identifies problematic time-scale mismatches occurring between individual decision makers in public institutions and between individual actors in the social or ecological system. We also considered solutions that involve modifying human perception and behavior at the individual level as a means of resolving these problematic mismatches. The potential solutions are derived from the behavioral economics and psychology literature on temporal challenges in decision making, such as the human tendency to discount future outcomes at irrationally high rates. These solutions range from framing environmental decisions to enhance the salience of long-term consequences, to using structured decision processes that make time scales of actions and consequences more explicit, to structural solutions aimed at altering the consequences of short-sighted behavior to make it less appealing. Additional application of these tools and long-term evaluation measures that assess not just behavioral changes but also associated changes in ecological systems are needed.

  1. A typology of time-scale mismatches and behavioral interventions to diagnose and solve conservation problems.

    PubMed

    Wilson, Robyn S; Hardisty, David J; Epanchin-Niell, Rebecca S; Runge, Michael C; Cottingham, Kathryn L; Urban, Dean L; Maguire, Lynn A; Hastings, Alan; Mumby, Peter J; Peters, Debra P C

    2016-02-01

    Ecological systems often operate on time scales significantly longer or shorter than the time scales typical of human decision making, which causes substantial difficulty for conservation and management in socioecological systems. For example, invasive species may move faster than humans can diagnose problems and initiate solutions, and climate systems may exhibit long-term inertia and short-term fluctuations that obscure learning about the efficacy of management efforts in many ecological systems. We adopted a management-decision framework that distinguishes decision makers within public institutions from individual actors within the social system, calls attention to the ways socioecological systems respond to decision makers' actions, and notes institutional learning that accrues from observing these responses. We used this framework, along with insights from bedeviling conservation problems, to create a typology that identifies problematic time-scale mismatches occurring between individual decision makers in public institutions and between individual actors in the social or ecological system. We also considered solutions that involve modifying human perception and behavior at the individual level as a means of resolving these problematic mismatches. The potential solutions are derived from the behavioral economics and psychology literature on temporal challenges in decision making, such as the human tendency to discount future outcomes at irrationally high rates. These solutions range from framing environmental decisions to enhance the salience of long-term consequences, to using structured decision processes that make time scales of actions and consequences more explicit, to structural solutions aimed at altering the consequences of short-sighted behavior to make it less appealing. Additional application of these tools and long-term evaluation measures that assess not just behavioral changes but also associated changes in ecological systems are needed. © 2015 Society for Conservation Biology.

  2. Rapid learning dynamics in individual honeybees during classical conditioning.

    PubMed

    Pamir, Evren; Szyszka, Paul; Scheiner, Ricarda; Nawrot, Martin P

    2014-01-01

    Associative learning in insects has been studied extensively by a multitude of classical conditioning protocols. However, so far little emphasis has been put on the dynamics of learning in individuals. The honeybee is a well-established animal model for learning and memory. We here studied associative learning as expressed in individual behavior based on a large collection of data on olfactory classical conditioning (25 datasets, 3298 animals). We show that the group-averaged learning curve and memory retention score confound three attributes of individual learning: the ability or inability to learn a given task, the generally fast acquisition of a conditioned response (CR) in learners, and the high stability of the CR during consecutive training and memory retention trials. We reassessed the prevailing view that more training results in better memory performance and found that 24 h memory retention can be indistinguishable after single-trial and multiple-trial conditioning in individuals. We explain how inter-individual differences in learning can be accommodated within the Rescorla-Wagner theory of associative learning. In both data-analysis and modeling we demonstrate how the conflict between population-level and single-animal perspectives on learning and memory can be disentangled.

  3. Rapid learning dynamics in individual honeybees during classical conditioning

    PubMed Central

    Pamir, Evren; Szyszka, Paul; Scheiner, Ricarda; Nawrot, Martin P.

    2014-01-01

    Associative learning in insects has been studied extensively by a multitude of classical conditioning protocols. However, so far little emphasis has been put on the dynamics of learning in individuals. The honeybee is a well-established animal model for learning and memory. We here studied associative learning as expressed in individual behavior based on a large collection of data on olfactory classical conditioning (25 datasets, 3298 animals). We show that the group-averaged learning curve and memory retention score confound three attributes of individual learning: the ability or inability to learn a given task, the generally fast acquisition of a conditioned response (CR) in learners, and the high stability of the CR during consecutive training and memory retention trials. We reassessed the prevailing view that more training results in better memory performance and found that 24 h memory retention can be indistinguishable after single-trial and multiple-trial conditioning in individuals. We explain how inter-individual differences in learning can be accommodated within the Rescorla–Wagner theory of associative learning. In both data-analysis and modeling we demonstrate how the conflict between population-level and single-animal perspectives on learning and memory can be disentangled. PMID:25309366

  4. Mountain Plains Learning Experience Guide: Automotive Repair. Course: Automotive Fuel Systems.

    ERIC Educational Resources Information Center

    Osland, Walt

    One of twelve individualized courses included in an automotive repair curriculum, this course covers the theory, operation, and repair of the carburetor, fuel pump, and other related fuel system components and parts. The course is comprised of six units: (1) Fundamentals of Fuel Systems, (2) Fuel Pumps, (3) Fuel Lines and Filters, (4) Carburetors,…

  5. Mountain Plains Learning Experience Guide: Automotive Repair. Course: Brake Systems.

    ERIC Educational Resources Information Center

    Schramm, C.; Osland, Walt

    One of twelve individualized courses included in an automotive repair curriculum, this course covers theory, operation, and repair of drum brakes, disc brakes, and brake system components. The course is comprised of six units: (1) Fundamentals of Brake Systems, (2) Master Cylinder, (3) Drum Brakes, (4) Disc Brakes, (5) Power Brakes, and (6)…

  6. A Description of a Prototype System at NTID which Merges Computer Assisted Instruction and Instructional Television.

    ERIC Educational Resources Information Center

    vonFeldt, James R.

    The development of a prototype system is described which merges the strengths of computer assisted instruction, data gathering, interactive learning, individualized instruction, and the motion in color, and audio features of television. Creation of the prototype system will allow testing of both TV and interactive CAI/TV strategies in auditory and…

  7. Leadership within Emergent Events in Complex Systems: Micro-Enactments and the Mechanisms of Organisational Learning and Change

    ERIC Educational Resources Information Center

    Hazy, James K.; Silberstang, Joyce

    2009-01-01

    One tradition within the complexity paradigm considers organisations as complex adaptive systems in which autonomous individuals interact, often in complex ways with difficult to predict, non-linear outcomes. Building upon this tradition, and more specifically following the complex systems leadership theory approach, we describe the ways in which…

  8. 3D Virtual Reality for Teaching Astronomy

    NASA Astrophysics Data System (ADS)

    Speck, Angela; Ruzhitskaya, L.; Laffey, J.; Ding, N.

    2012-01-01

    We are developing 3D virtual learning environments (VLEs) as learning materials for an undergraduate astronomy course, in which will utilize advances both in technologies available and in our understanding of the social nature of learning. These learning materials will be used to test whether such VLEs can indeed augment science learning so that it is more engaging, active, visual and effective. Our project focuses on the challenges and requirements of introductory college astronomy classes. Here we present our virtual world of the Jupiter system and how we plan to implement it to allow students to learn course material - physical laws and concepts in astronomy - while engaging them into exploration of the Jupiter's system, encouraging their imagination, curiosity, and motivation. The VLE can allow students to work individually or collaboratively. The 3D world also provides an opportunity for research in astronomy education to investigate impact of social interaction, gaming features, and use of manipulatives offered by a learning tool on students’ motivation and learning outcomes. Use of this VLE is also a valuable source for exploration of how the learners’ spatial awareness can be enhanced by working in 3D environment. We will present the Jupiter-system environment along with a preliminary study of the efficacy and usability of our Jupiter 3D VLE.

  9. Self-Assembling Texts & Courses of Study.

    ERIC Educational Resources Information Center

    Gibson, David

    This paper describes the development of an interoperable meta-database system--a system of applications using metadata--that is intended to facilitate learner-centered collaboration, access to learning resources, and the fitness of channels of information to the emerging needs of learners at both individual and group levels. Highlights include:…

  10. Intelligent Tutoring Systems and Learning Outcomes: A Meta-Analysis

    ERIC Educational Resources Information Center

    Ma, Wenting; Adesope, Olusola O.; Nesbit, John C.; Liu, Qing

    2014-01-01

    Intelligent Tutoring Systems (ITS) are computer programs that model learners' psychological states to provide individualized instruction. They have been developed for diverse subject areas (e.g., algebra, medicine, law, reading) to help learners acquire domain-specific, cognitive and metacognitive knowledge. A meta-analysis was conducted on…

  11. Guidance Systems across Europe: Heritage, Change and the Art of Becoming

    ERIC Educational Resources Information Center

    Moreno da Fonseca, Pedro

    2015-01-01

    Guidance systems exist within learning, working and welfare cultures, which are upheld by prevailing institutions and stakeholders. Implementing a lifelong approach questions rooted codes and idiosyncrasies of the sectors across which guidance is distributed. To support individuals' careers, unlock their potential and increase their contribution…

  12. Video Based Developmental Mathematics Learning System For Community College Students.

    ERIC Educational Resources Information Center

    Gormley, Tyrone D.

    The University of Maine at Augusta uses an individualized video-taped mathematics instructional system to eliminate students' math weaknesses before they attempt college math. The course, "1 Mth Developmental Mathematics," is part of the Educational Assistance Program and teaches basic skills and concepts of arithmetic and algebra. The…

  13. Dynamic User Modeling within a Game-Based ITS

    ERIC Educational Resources Information Center

    Snow, Erica L.

    2015-01-01

    Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…

  14. A qualitative content analysis of global health engagements in Peacekeeping and Stability Operations Institute's stability operations lessons learned and information management system.

    PubMed

    Nang, Roberto N; Monahan, Felicia; Diehl, Glendon B; French, Daniel

    2015-04-01

    Many institutions collect reports in databases to make important lessons-learned available to their members. The Uniformed Services University of the Health Sciences collaborated with the Peacekeeping and Stability Operations Institute to conduct a descriptive and qualitative analysis of global health engagements (GHEs) contained in the Stability Operations Lessons Learned and Information Management System (SOLLIMS). This study used a summative qualitative content analysis approach involving six steps: (1) a comprehensive search; (2) two-stage reading and screening process to identify first-hand, health-related records; (3) qualitative and quantitative data analysis using MAXQDA, a software program; (4) a word cloud to illustrate word frequencies and interrelationships; (5) coding of individual themes and validation of the coding scheme; and (6) identification of relationships in the data and overarching lessons-learned. The individual codes with the most number of text segments coded included: planning, personnel, interorganizational coordination, communication/information sharing, and resources/supplies. When compared to the Department of Defense's (DoD's) evolving GHE principles and capabilities, the SOLLIMS coding scheme appeared to align well with the list of GHE capabilities developed by the Department of Defense Global Health Working Group. The results of this study will inform practitioners of global health and encourage additional qualitative analysis of other lessons-learned databases. Reprint & Copyright © 2015 Association of Military Surgeons of the U.S.

  15. Collective learning for the emergence of social norms in networked multiagent systems.

    PubMed

    Yu, Chao; Zhang, Minjie; Ren, Fenghui

    2014-12-01

    Social norms such as social rules and conventions play a pivotal role in sustaining system order by regulating and controlling individual behaviors toward a global consensus in large-scale distributed systems. Systematic studies of efficient mechanisms that can facilitate the emergence of social norms enable us to build and design robust distributed systems, such as electronic institutions and norm-governed sensor networks. This paper studies the emergence of social norms via learning from repeated local interactions in networked multiagent systems. A collective learning framework, which imitates the opinion aggregation process in human decision making, is proposed to study the impact of agent local collective behaviors on the emergence of social norms in a number of different situations. In the framework, each agent interacts repeatedly with all of its neighbors. At each step, an agent first takes a best-response action toward each of its neighbors and then combines all of these actions into a final action using ensemble learning methods. Extensive experiments are carried out to evaluate the framework with respect to different network topologies, learning strategies, numbers of actions, influences of nonlearning agents, and so on. Experimental results reveal some significant insights into the manipulation and control of norm emergence in networked multiagent systems achieved through local collective behaviors.

  16. Preserved learning of novel information in amnesia: evidence for multiple memory systems.

    PubMed

    Gordon, B

    1988-06-01

    Four of five patients with marked global amnesia, and others with new learning impairments, showed normal processing facilitation for novel stimuli (nonwords) and/or for familiar stimuli (words) on a word/nonword (lexical) decision task. The data are interpreted as a reflection of the learning capabilities of in-line neural processing stages with multiple, distinct, informational codes. These in-line learning processes are separate from the recognition/recall memory impaired by amygdalohippocampal/dosomedial thalamic damage, but probably supplement such memory in some tasks in normal individuals. Preserved learning of novel information seems incompatible with explanations of spared learning in amnesia that are based on the episodic/semantic or memory/habit distinctions, but is consistent with the procedural/declarative hypothesis.

  17. Interdisciplinary research and education in the Vienna Doctoral Programme on Water Resource Systems: a framework for evaluation

    NASA Astrophysics Data System (ADS)

    Bloeschl, G.; Carr, G.; Loucks, D. P.

    2017-12-01

    Greater understanding of how interdisciplinary research and education evolves is critical for identifying and implementing appropriate programme management strategies. We propose a program evaluation framework that is based on social learning processes (individual learning, interdisciplinary research practices, and interaction between researchers with different backgrounds); social capital outcomes (ability to interact, interpersonal connectivity, and shared understanding); and knowledge and human capital outcomes (new knowledge that integrates multiple research fields). The framework is tested on established case study doctoral program: the Vienna Doctoral Program on Water Resource Systems. Data are collected via mixed qualitative/quantitative methods that include semi-structured interviews, publication co-author analysis, analysis of research proposals, categorisation of the interdisciplinarity of publications and graduate analysis. Through the evaluation and analysis, several interesting findings about how interdisciplinary research evolves and can be supported are identified. Firstly, different aspects of individual learning seem to contribute to a researcher's ability to interact with researchers from other research fields and work collaboratively. These include learning new material from different research fields, learning how to learn new material and learning how to integrate different material. Secondly, shared interdisciplinary research practices can be identified that may be common to other programs and support interaction and shared understanding between different researchers. They include clarification and questioning, harnessing differences and setting defensible research boundaries. Thirdly, intensive interaction between researchers from different backgrounds support connectivity between the researchers, further enabling cross-disciplinary collaborative work. The case study data suggest that social learning processes and social capital outcomes precede new interdisciplinary research findings and are therefore a critical aspect to consider in interdisciplinary program management.

  18. The Impact of Team-Based Learning on Nervous System Examination Knowledge of Nursing Students.

    PubMed

    Hemmati Maslakpak, Masomeh; Parizad, Naser; Zareie, Farzad

    2015-12-01

    Team-based learning is one of the active learning approaches in which independent learning is combined with small group discussion in the class. This study aimed to determine the impact of team-based learning in nervous system examination knowledge of nursing students. This quasi-experimental study was conducted on 3(rd) grade nursing students, including 5th semester (intervention group) and 6(th) semester (control group). The traditional lecture method and the team-based learning method were used for educating the examination of the nervous system for intervention and control groups, respectively. The data were collected by a test covering 40-questions (multiple choice, matching, gap-filling and descriptive questions) before and after intervention in both groups. Individual Readiness Assurance Test (RAT) and Group Readiness Assurance Test (GRAT) used to collect data in the intervention group. In the end, the collected data were analyzed by SPSS ver. 13 using descriptive and inferential statistical tests. In team-based learning group, mean and standard deviation was 13.39 (4.52) before the intervention, which had been increased to 31.07 (3.20) after the intervention and this increase was statistically significant. Also, there was a statistically significant difference between the scores of RAT and GRAT in team-based learning group. Using team-based learning approach resulted in much better improvement and stability in the nervous system examination knowledge of nursing students compared to traditional lecture method; therefore, this method could be efficiently used as an effective educational approach in nursing education.

  19. Hebb learning, verbal short-term memory, and the acquisition of phonological forms in children.

    PubMed

    Mosse, Emma K; Jarrold, Christopher

    2008-04-01

    Recent work using the Hebb effect as a marker for implicit long-term acquisition of serial order has demonstrated a functional equivalence across verbal and visuospatial short-term memory. The current study extends this observation to a sample of five- to six-year-olds using verbal and spatial immediate serial recall and also correlates the magnitude of Hebb learning with explicit measures of word and nonword paired-associate learning. Comparable Hebb effects were observed in both domains, but only nonword learning was significantly related to the magnitude of Hebb learning. Nonword learning was also independently related to individuals' general level of verbal serial recall. This suggests that vocabulary acquisition depends on both a domain-specific short-term memory system and a domain-general process of learning through repetition.

  20. Fuzzy Logic Based Anomaly Detection for Embedded Network Security Cyber Sensor

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Ondrej Linda; Todd Vollmer; Jason Wright

    Resiliency and security in critical infrastructure control systems in the modern world of cyber terrorism constitute a relevant concern. Developing a network security system specifically tailored to the requirements of such critical assets is of a primary importance. This paper proposes a novel learning algorithm for anomaly based network security cyber sensor together with its hardware implementation. The presented learning algorithm constructs a fuzzy logic rule based model of normal network behavior. Individual fuzzy rules are extracted directly from the stream of incoming packets using an online clustering algorithm. This learning algorithm was specifically developed to comply with the constrainedmore » computational requirements of low-cost embedded network security cyber sensors. The performance of the system was evaluated on a set of network data recorded from an experimental test-bed mimicking the environment of a critical infrastructure control system.« less

  1. Evolution of costly explicit memory and cumulative culture.

    PubMed

    Nakamaru, Mayuko

    2016-06-21

    Humans can acquire new information and modify it (cumulative culture) based on their learning and memory abilities, especially explicit memory, through the processes of encoding, consolidation, storage, and retrieval. Explicit memory is categorized into semantic and episodic memories. Animals have semantic memory, while episodic memory is unique to humans and essential for innovation and the evolution of culture. As both episodic and semantic memory are needed for innovation, the evolution of explicit memory influences the evolution of culture. However, previous theoretical studies have shown that environmental fluctuations influence the evolution of imitation (social learning) and innovation (individual learning) and assume that memory is not an evolutionary trait. If individuals can store and retrieve acquired information properly, they can modify it and innovate new information. Therefore, being able to store and retrieve information is essential from the perspective of cultural evolution. However, if both storage and retrieval were too costly, forgetting and relearning would have an advantage over storing and retrieving acquired information. In this study, using mathematical analysis and individual-based simulations, we investigate whether cumulative culture can promote the coevolution of costly memory and social and individual learning, assuming that cumulative culture improves the fitness of each individual. The conclusions are: (1) without cumulative culture, a social learning cost is essential for the evolution of storage-retrieval. Costly storage-retrieval can evolve with individual learning but costly social learning does not evolve. When low-cost social learning evolves, the repetition of forgetting and learning is favored more than the evolution of costly storage-retrieval, even though a cultural trait improves the fitness. (2) When cumulative culture exists and improves fitness, storage-retrieval can evolve with social and/or individual learning, which is not influenced by the degree of the social learning cost. Whether individuals socially learn a low level of culture from observing a high or the low level of culture influences the evolution of memory and learning, especially individual learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

  2. Learning comunication strategies for distributed artificial intelligence

    NASA Astrophysics Data System (ADS)

    Kinney, Michael; Tsatsoulis, Costas

    1992-08-01

    We present a methodology that allows collections of intelligent system to automatically learn communication strategies, so that they can exchange information and coordinate their problem solving activity. In our methodology communication between agents is determined by the agents themselves, which consider the progress of their individual problem solving activities compared to the communication needs of their surrounding agents. Through learning, communication lines between agents might be established or disconnected, communication frequencies modified, and the system can also react to dynamic changes in the environment that might force agents to cease to exist or to be added. We have established dynamic, quantitative measures of the usefulness of a fact, the cost of a fact, the work load of an agent, and the selfishness of an agent (a measure indicating an agent's preference between transmitting information versus performing individual problem solving), and use these values to adapt the communication between intelligent agents. In this paper we present the theoretical foundations of our work together with experimental results and performance statistics of networks of agents involved in cooperative problem solving activities.

  3. Hands-On Practical Chemistry for All: Why and How?

    NASA Astrophysics Data System (ADS)

    Bradley, John D.; Durbach, S.; Bell, B.; Mungarulire, J.; Kimel, H.

    1998-11-01

    Practical work in chemistry is invariably described as essential in chemical education, and a variety of aims is claimed for it. Yet in schools around the world it is frequently absent from the real curriculum. Although some of the explanations advanced for this conundrum are little more than excuses, there is truth in the cost explanation. In this article we report on our development of a system based on microscale chemistry kits for individual students. These reusable kits comprise a number of components specially designed around a Comboplate made of optically clear plastic. The kits are supplied in individual zip-lock bags with a variety of configurations to suit different grades and curricula. Chemicals are supplied as solids and prepared solutions in quantities suitable for a whole class for one year, and student worksheets are available. The total system is cost-effective, safe, environmentally friendly, and versatile. The system has been very well received in both wealthy and poor contexts and countries by both teachers and students. It is so convenient and user-friendly it appeals to teachers. For students, pride of ownership is tapped by the individual kits. Their portability facilitates fieldwork and also distance learning. The system, developed through academic-industrial cooperation, may well achieve a global revolution in chemistry teaching and learning.

  4. Quantum neural network based machine translator for Hindi to English.

    PubMed

    Narayan, Ravi; Singh, V P; Chakraverty, S

    2014-01-01

    This paper presents the machine learning based machine translation system for Hindi to English, which learns the semantically correct corpus. The quantum neural based pattern recognizer is used to recognize and learn the pattern of corpus, using the information of part of speech of individual word in the corpus, like a human. The system performs the machine translation using its knowledge gained during the learning by inputting the pair of sentences of Devnagri-Hindi and English. To analyze the effectiveness of the proposed approach, 2600 sentences have been evaluated during simulation and evaluation. The accuracy achieved on BLEU score is 0.7502, on NIST score is 6.5773, on ROUGE-L score is 0.9233, and on METEOR score is 0.5456, which is significantly higher in comparison with Google Translation and Bing Translation for Hindi to English Machine Translation.

  5. Memory and cognitive control circuits in mathematical cognition and learning.

    PubMed

    Menon, V

    2016-01-01

    Numerical cognition relies on interactions within and between multiple functional brain systems, including those subserving quantity processing, working memory, declarative memory, and cognitive control. This chapter describes recent advances in our understanding of memory and control circuits in mathematical cognition and learning. The working memory system involves multiple parietal-frontal circuits which create short-term representations that allow manipulation of discrete quantities over several seconds. In contrast, hippocampal-frontal circuits underlying the declarative memory system play an important role in formation of associative memories and binding of new and old information, leading to the formation of long-term memories that allow generalization beyond individual problem attributes. The flow of information across these systems is regulated by flexible cognitive control systems which facilitate the integration and manipulation of quantity and mnemonic information. The implications of recent research for formulating a more comprehensive systems neuroscience view of the neural basis of mathematical learning and knowledge acquisition in both children and adults are discussed. © 2016 Elsevier B.V. All rights reserved.

  6. Resource sharing of online teaching materials: The lon-capa project

    NASA Astrophysics Data System (ADS)

    Bauer, Wolfgang

    2004-03-01

    The use of information technology resources in conventional lecture-based courses, in distance-learning offerings, as well as hybrid courses, is increasing. But this may put additional burden on faculty, who are now asked to deliver this new content. Additionally, it may require the installation of commercial courseware systems, putting the colleges and universities in new financial licensing dependencies. To address exactly these two problems, the lon-capa system was invented to provide an open-source, gnu public license based, courseware system that allows for sharing of educational resources across institutional and disciplinary boundaries. This presentation will focus on both aspects of the system, the courseware capabilities that allow for customized environments for individual students, and the educational resources library that enables teachers to take full advantages of the work of their colleagues. Research results on learning effectiveness, resource and system usage patterns, and customization for different learning styles will be shown. Institutional perceptions of and responses to open source courseware systems will be discussed.

  7. Memory and cognitive control circuits in mathematical cognition and learning

    PubMed Central

    Menon, V.

    2018-01-01

    Numerical cognition relies on interactions within and between multiple functional brain systems, including those subserving quantity processing, working memory, declarative memory, and cognitive control. This chapter describes recent advances in our understanding of memory and control circuits in mathematical cognition and learning. The working memory system involves multiple parietal–frontal circuits which create short-term representations that allow manipulation of discrete quantities over several seconds. In contrast, hippocampal–frontal circuits underlying the declarative memory system play an important role in formation of associative memories and binding of new and old information, leading to the formation of long-term memories that allow generalization beyond individual problem attributes. The flow of information across these systems is regulated by flexible cognitive control systems which facilitate the integration and manipulation of quantity and mnemonic information. The implications of recent research for formulating a more comprehensive systems neuroscience view of the neural basis of mathematical learning and knowledge acquisition in both children and adults are discussed. PMID:27339012

  8. The Formation and Development of Cognitive Activity of Students in the Learning Process

    ERIC Educational Resources Information Center

    Saparkyzy, Zhannat; Isatayeva, Gulzhan; Kozhabekova, Zahida; Zhakesheva, Aimzhan; Koptayeva, Gulzhamal; Agabekova, Gulzhan; Agabekova, Sholpan

    2016-01-01

    In this article we will discuss how the holding of a special and dedicated work helped to change the levels of formation of the major components of cognitive activity. Cognitive activity with the content aspect is a system of perceptual, mnemonic and intellectual activity and from the form--as an individual, joint, or pseudo-individual pseudo…

  9. Exploring Customization in Higher Education: An Experiment in Leveraging Computer Spreadsheet Technology to Deliver Highly Individualized Online Instruction to Undergraduate Business Students

    ERIC Educational Resources Information Center

    Kunzler, Jayson S.

    2012-01-01

    This dissertation describes a research study designed to explore whether customization of online instruction results in improved learning in a college business statistics course. The study involved utilizing computer spreadsheet technology to develop an intelligent tutoring system (ITS) designed to: a) collect and monitor individual real-time…

  10. Different Reward Structures to Motivate Student Interaction with Electronic Response Systems in Astronomy

    NASA Astrophysics Data System (ADS)

    Len, Patrick M.

    Electronic response systems ("clickers") are used in introductory astronomy classes as a real-time assessment tool. Different reward structures for student responses to clicker questions are used to motivate individual participation or group collaboration before responding. The impact of two reward structures on student behavior and learning is investigated. This study finds that a success-bonus incentive (in which individual participation points are doubled when the class attains a threshold success rate) strongly motivated students to collaborate, whereas a participation-only credit (no success-bonus) incentive resulted in one-third of the students answering individually without collaboration. With a participation-only incentive, students who answered individually ("self-testers") were found to have more positive attitudes toward astronomy and science, and higher self-confidence in their learning than students who interacted before answering without a success-bonus incentive ("collaborators"). These collaborators experienced downward shifts in attitudes and self-confidence, in contrast to the static attitudes and self-confidence of self-testers. The implication is that students with little or no background in science prefer to answer collaboratively rather than independently and that these students are also negatively impacted by a one-semester introductory astronomy course.

  11. Designing boosting ensemble of relational fuzzy systems.

    PubMed

    Scherer, Rafał

    2010-10-01

    A method frequently used in classification systems for improving classification accuracy is to combine outputs of several classifiers. Among various types of classifiers, fuzzy ones are tempting because of using intelligible fuzzy if-then rules. In the paper we build an AdaBoost ensemble of relational neuro-fuzzy classifiers. Relational fuzzy systems bond input and output fuzzy linguistic values by a binary relation; thus, fuzzy rules have additional, comparing to traditional fuzzy systems, weights - elements of a fuzzy relation matrix. Thanks to this the system is better adjustable to data during learning. In the paper an ensemble of relational fuzzy systems is proposed. The problem is that such an ensemble contains separate rule bases which cannot be directly merged. As systems are separate, we cannot treat fuzzy rules coming from different systems as rules from the same (single) system. In the paper, the problem is addressed by a novel design of fuzzy systems constituting the ensemble, resulting in normalization of individual rule bases during learning. The method described in the paper is tested on several known benchmarks and compared with other machine learning solutions from the literature.

  12. Active and observational reward learning in adults with autism spectrum disorder: relationship with empathy in an atypical sample.

    PubMed

    Bellebaum, Christian; Brodmann, Katja; Thoma, Patrizia

    2014-01-01

    Autism spectrum disorders (ASDs) are characterised by disturbances in social behaviour. A prevailing hypothesis suggests that these problems are related to deficits in assigning rewarding value to social stimuli. The present study aimed to examine monetary reward processing in adults with ASDs by means of event-related potentials (ERPs). Ten individuals with mild ASDs (Asperger's syndrome and high-functioning autism) and 12 healthy control subjects performed an active and an observational probabilistic reward-learning task. Both groups showed similar overall learning performance. With respect to reward processing, subjects with ASDs exhibited a general reduction in feedback-related negativity (FRN) amplitude, irrespective of feedback valence and type of learning (active or observational). Individuals with ASDs showed lower scores for cognitive empathy, while affective empathy did not differ between groups. Correlation analyses revealed that higher empathy (both cognitive and affective) negatively affected performance in observational learning in controls and in active learning in ASDs (only cognitive empathy). No relationships were seen between empathy and ERPs. Reduced FRN amplitudes are discussed in terms of a deficit in fast reward processing in ASDs, which may indicate altered reward system functioning.

  13. Procedural learning is impaired in dyslexia: Evidence from a meta-analysis of serial reaction time studies☆

    PubMed Central

    Lum, Jarrad A.G.; Ullman, Michael T.; Conti-Ramsden, Gina

    2013-01-01

    A number of studies have investigated procedural learning in dyslexia using serial reaction time (SRT) tasks. Overall, the results have been mixed, with evidence of both impaired and intact learning reported. We undertook a systematic search of studies that examined procedural learning using SRT tasks, and synthesized the data using meta-analysis. A total of 14 studies were identified, representing data from 314 individuals with dyslexia and 317 typically developing control participants. The results indicate that, on average, individuals with dyslexia have worse procedural learning abilities than controls, as indexed by sequence learning on the SRT task. The average weighted standardized mean difference (the effect size) was found to be 0.449 (CI95: .204, .693), and was significant (p < .001). However, moderate levels of heterogeneity were found between study-level effect sizes. Meta-regression analyses indicated that studies with older participants that used SRT tasks with second order conditional sequences, or with older participants that used sequences that were presented a large number of times, were associated with smaller effect sizes. These associations are discussed with respect to compensatory and delayed memory systems in dyslexia. PMID:23920029

  14. Classification of older adults with/without a fall history using machine learning methods.

    PubMed

    Lin Zhang; Ou Ma; Fabre, Jennifer M; Wood, Robert H; Garcia, Stephanie U; Ivey, Kayla M; McCann, Evan D

    2015-01-01

    Falling is a serious problem in an aged society such that assessment of the risk of falls for individuals is imperative for the research and practice of falls prevention. This paper introduces an application of several machine learning methods for training a classifier which is capable of classifying individual older adults into a high risk group and a low risk group (distinguished by whether or not the members of the group have a recent history of falls). Using a 3D motion capture system, significant gait features related to falls risk are extracted. By training these features, classification hypotheses are obtained based on machine learning techniques (K Nearest-neighbour, Naive Bayes, Logistic Regression, Neural Network, and Support Vector Machine). Training and test accuracies with sensitivity and specificity of each of these techniques are assessed. The feature adjustment and tuning of the machine learning algorithms are discussed. The outcome of the study will benefit the prediction and prevention of falls.

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

    PubMed

    Bektas, Murat; Ozturk, Candan; Armstrong, Merry

    2010-01-01

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

  16. Is the introduction of an accreditation program likely to generate organization-wide quality, change and learning?

    PubMed

    Lanteigne, Gilles; Bouchard, Chantal

    2016-07-01

    This research assesses whether integration of Accreditation Canada's program brings about change and organizational learning. Two health organizations, the Health Authority of Anguilla and the Ca' Foncella Opetale di Treviso, are studied on three levels: (1) members; (2) accreditation teams; and (3) organization. The methods used to collect data consisted of individual questionnaires administered to team members, semi-formal interviews with team leaders and quality coordinators, a documentation review and periodic assessments of compliance with the standards. The findings indicate that the organizations made strategic, organizational and relational changes. They improved their systems and management practices as well as their internal and external communications. There was also useful learning by individuals, teams and the organizations. Individual learning involved quality practice, client-focused approach, risk management, ethics, participatory management and assessment of services. The "self-assessment" and "make improvements and follow up on recommendations" stages of the accreditation cycle contributed the most to change and organizational learning. The interdisciplinary accreditation teams were the preferred vehicle for achieving these changes and this learning. The Health Authority of Anguilla and Ca' Foncella Opetale di Treviso have gradually improved their level of compliance with the standards in all quality dimensions. However, improvement in the overall compliance level was below the program's minimum requirements to obtain accreditation status without major restrictions. The scope of the changes and learning achieved raises the issue of the capacity of organizations to formalize this new knowledge throughout the organization. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

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

    PubMed

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

    2018-05-01

    Machine learning may contribute to understanding the relationship between the external load and internal load in professional soccer. Therefore, the relationship between external load indicators (ELIs) and the rating of perceived exertion (RPE) was examined using machine learning techniques on a group and individual level. Training data were collected from 38 professional soccer players over 2 seasons. The external load was measured using global positioning system technology and accelerometry. The internal load was obtained using the RPE. Predictive models were constructed using 2 machine learning techniques, artificial neural networks and least absolute shrinkage and selection operator (LASSO) models, and 1 naive baseline method. The predictions were based on a large set of ELIs. Using each technique, 1 group model involving all players and 1 individual model for each player were constructed. These models' performance on predicting the reported RPE values for future training sessions was compared with the naive baseline's performance. Both the artificial neural network and LASSO models outperformed the baseline. In addition, the LASSO model made more accurate predictions for the RPE than did the artificial neural network model. Furthermore, decelerations were identified as important ELIs. Regardless of the applied machine learning technique, the group models resulted in equivalent or better predictions for the reported RPE values than the individual models. Machine learning techniques may have added value in predicting RPE for future sessions to optimize training design and evaluation. These techniques may also be used in conjunction with expert knowledge to select key ELIs for load monitoring.

  18. Procedural learning and dyslexia.

    PubMed

    Nicolson, R I; Fawcett, A J; Brookes, R L; Needle, J

    2010-08-01

    Three major 'neural systems', specialized for different types of information processing, are the sensory, declarative, and procedural systems. It has been proposed (Trends Neurosci., 30(4), 135-141) that dyslexia may be attributable to impaired function in the procedural system together with intact declarative function. We provide a brief overview of the increasing evidence relating to the hypothesis, noting that the framework involves two main claims: first that 'neural systems' provides a productive level of description avoiding the underspecificity of cognitive descriptions and the overspecificity of brain structural accounts; and second that a distinctive feature of procedural learning is its extended time course, covering from minutes to months. In this article, we focus on the second claim. Three studies-speeded single word reading, long-term response learning, and overnight skill consolidation-are reviewed which together provide clear evidence of difficulties in procedural learning for individuals with dyslexia, even when the tasks are outside the literacy domain. The educational implications of the results are then discussed, and in particular the potential difficulties that impaired overnight procedural consolidation would entail. It is proposed that response to intervention could be better predicted if diagnostic tests on the different forms of learning were first undertaken. 2010 John Wiley & Sons, Ltd.

  19. Health Informatics via Machine Learning for the Clinical Management of Patients.

    PubMed

    Clifton, D A; Niehaus, K E; Charlton, P; Colopy, G W

    2015-08-13

    To review how health informatics systems based on machine learning methods have impacted the clinical management of patients, by affecting clinical practice. We reviewed literature from 2010-2015 from databases such as Pubmed, IEEE xplore, and INSPEC, in which methods based on machine learning are likely to be reported. We bring together a broad body of literature, aiming to identify those leading examples of health informatics that have advanced the methodology of machine learning. While individual methods may have further examples that might be added, we have chosen some of the most representative, informative exemplars in each case. Our survey highlights that, while much research is taking place in this high-profile field, examples of those that affect the clinical management of patients are seldom found. We show that substantial progress is being made in terms of methodology, often by data scientists working in close collaboration with clinical groups. Health informatics systems based on machine learning are in their infancy and the translation of such systems into clinical management has yet to be performed at scale.

  20. [Learning and memory in Drosophila: physiologic and genetic bases].

    PubMed

    Zhuravlev, A V; Nikitina, E A; Savvateeva-Popova, E V

    2015-01-01

    Elucidation of molecular mechanisms of cognitive functions is one of the major achievements in neurobiology. At most, this is due to the studies on the simple nervous systems, such as the CNS in Drosophila melanogaster. Many of its functional characteristics are pretty similar to higher vertebrates. Among these are: 1) evolutionary conservation of genes and molecular systems involved in the regulation of learning acquisition and memory formation; 2) presence of highly specialized and differentiated sensory, associative and motor centers; 3) utilization of similar modes of informational coding and analysis; 4) availability of major learning forms including non-associative, as well as associative learning; 5) diversity of different memories, including short-term- and protein synthesis- dependent long-term memory; 6) presence of aminergic reinforcement systems in the brain; 7) feed-back loops of circadian clocks, current organism experience and individual organism characters affecting cognitive process per se. In this review the main attention is paid to the two mostly studied Drosophila learning forms, namely to olfactory Iearning and courtship suppression conditioning (CCS). A separate consideration is given to the impacts of kynurenins and metabolite of actin remodeling signal cascade.

  1. Statistically Modeling Individual Students' Learning over Successive Collaborative Practice Opportunities

    ERIC Educational Resources Information Center

    Olsen, Jennifer; Aleven, Vincent; Rummel, Nikol

    2017-01-01

    Within educational data mining, many statistical models capture the learning of students working individually. However, not much work has been done to extend these statistical models of individual learning to a collaborative setting, despite the effectiveness of collaborative learning activities. We extend a widely used model (the additive factors…

  2. Association of Amine-Receptor DNA Sequence Variants with Associative Learning in the Honeybee.

    PubMed

    Lagisz, Malgorzata; Mercer, Alison R; de Mouzon, Charlotte; Santos, Luana L S; Nakagawa, Shinichi

    2016-03-01

    Octopamine- and dopamine-based neuromodulatory systems play a critical role in learning and learning-related behaviour in insects. To further our understanding of these systems and resulting phenotypes, we quantified DNA sequence variations at six loci coding octopamine-and dopamine-receptors and their association with aversive and appetitive learning traits in a population of honeybees. We identified 79 polymorphic sequence markers (mostly SNPs and a few insertions/deletions) located within or close to six candidate genes. Intriguingly, we found that levels of sequence variation in the protein-coding regions studied were low, indicating that sequence variation in the coding regions of receptor genes critical to learning and memory is strongly selected against. Non-coding and upstream regions of the same genes, however, were less conserved and sequence variations in these regions were weakly associated with between-individual differences in learning-related traits. While these associations do not directly imply a specific molecular mechanism, they suggest that the cross-talk between dopamine and octopamine signalling pathways may influence olfactory learning and memory in the honeybee.

  3. Semiotic individuation and Ernst Cassirer's challenge.

    PubMed

    Hoffmeyer, Jesper

    2015-12-01

    The concept of individuation has suffered from its being mostly connected with Jungian psychology or nominalist philosophy. In this paper, "individuation" will be understood rather as a process; and in particular, as a series of stages (morphological and/or cognitive) that an organism passes through during its lifespan. In most species, individuation is restricted to a short period in early life, as when birds acquire their species specific songs; while in humans - and a few other species of birds or mammals (although to a much lesser degree) - individuation is a life-long, open-ended process. In this understanding, individuation becomes narrowly connected to learning. And since learning necessarily depends on what is already learned, the trajectory of learning-based individuation is necessarily indefinite and dependent on the concrete chance events and steps whereby the process has proceeded. Semiotic individuation is a historical process, and this fact explains why systems biology, as established by Ludwig van Bertalanffy, has not been capable of meeting the hope, expressed long ago by Ernst Cassirer, of bridging the mechanicist-vitalist gap in biology. Instead, a semiotic approach is called for. Human individuation, moreover, is special in a very important sense: language use implies that humans from earliest childhood inescapably become entangled in an 'as-if-world', a virtual reality, a story about who we are and how our life 'here and now' belongs within our own life-history, as well as within the greater pattern of the world around us. Human individuation is thus a double-tracked process, consisting in an incessant reconciliation or negotiation between the virtual reality that we have constructed in our minds and mind-independent reality as it impresses itself upon our lives. Human life cannot therefore be defined by its uniqueness as a particular genetic combination, but must be instead be defined by its uniqueness as a temporal outcome of semiotic individuation. Accordingly, this double-tracked character of human semiotic individuation implies that it is cast as just one particular outcome of a combinatorics with an infinite number of possible outcomes. It is suggested here that our ingrained feeling of possessing a free will is buried in this fact. Copyright © 2015. Published by Elsevier Ltd.

  4. Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning

    PubMed Central

    Schad, Daniel J.; Jünger, Elisabeth; Sebold, Miriam; Garbusow, Maria; Bernhardt, Nadine; Javadi, Amir-Homayoun; Zimmermann, Ulrich S.; Smolka, Michael N.; Heinz, Andreas; Rapp, Michael A.; Huys, Quentin J. M.

    2014-01-01

    Theories of decision-making and its neural substrates have long assumed the existence of two distinct and competing valuation systems, variously described as goal-directed vs. habitual, or, more recently and based on statistical arguments, as model-free vs. model-based reinforcement-learning. Though both have been shown to control choices, the cognitive abilities associated with these systems are under ongoing investigation. Here we examine the link to cognitive abilities, and find that individual differences in processing speed covary with a shift from model-free to model-based choice control in the presence of above-average working memory function. This suggests shared cognitive and neural processes; provides a bridge between literatures on intelligence and valuation; and may guide the development of process models of different valuation components. Furthermore, it provides a rationale for individual differences in the tendency to deploy valuation systems, which may be important for understanding the manifold neuropsychiatric diseases associated with malfunctions of valuation. PMID:25566131

  5. Learning and Collective Knowledge Construction With Social Media: A Process-Oriented Perspective

    PubMed Central

    Kimmerle, Joachim; Moskaliuk, Johannes; Oeberst, Aileen; Cress, Ulrike

    2015-01-01

    Social media are increasingly being used for educational purposes. The first part of this article briefly reviews literature that reports on educational applications of social media tools. The second part discusses theories that may provide a basis for analyzing the processes that are relevant for individual learning and collective knowledge construction. We argue that a systems-theoretical constructivist approach is appropriate to examine the processes of educational social media use, namely, self-organization, the internalization of information, the externalization of knowledge, and the interplay of externalization and internalization providing the basis of a co-evolution of cognitive and social systems. In the third part we present research findings that illustrate and support this systems-theoretical framework. Concluding, we discuss the implications for educational design and for future research on learning and collective knowledge construction with social media. PMID:26246643

  6. Evolution of learning in fluctuating environments: when selection favors both social and exploratory individual learning.

    PubMed

    Borenstein, Elhanan; Feldman, Marcus W; Aoki, Kenichi

    2008-03-01

    Cumulative cultural change requires organisms that are capable of both exploratory individual learning and faithful social learning. In our model, an organism's phenotype is initially determined innately (by its genotypic value) or by social learning (copying a phenotype from the parental generation), and then may or may not be modified by individual learning (exploration around the initial phenotype). The environment alternates periodically between two states, each defined as a certain range of phenotypes that can survive. These states may overlap, in which case the same phenotype can survive in both states, or they may not. We find that a joint social and exploratory individual learning strategy-the strategy that supports cumulative culture-is likely to spread when the environmental states do not overlap. In particular, when the environmental states are contiguous and mutation is allowed among the genotypic values, this strategy will spread in either moderately or highly stable environments, depending on the exact nature of the individual learning applied. On the other hand, natural selection often favors a social learning strategy without exploration when the environmental states overlap. We find only partial support for the "consensus" view, which holds that individual learning, social learning, and innate determination of behavior will evolve at short, intermediate, and long environmental periodicities, respectively.

  7. The many selves of social insects.

    PubMed

    Queller, David C; Strassmann, Joan E

    2002-04-12

    Social insects show multiple levels of self identity. Most individuals are sterile workers who selflessly labor for their colony, which is often viewed as a superorganism. The superorganism protects itself with colony recognition systems based on learned odors, typically cuticular hydrocarbons. Transfer of these odors within the colony obscures separate clan identities. Residual individual interests do appear to cause conflicts within colonies over sex ratio, male production, caste, and reproductive dominance. However, genomic imprinting theory predicts that the individual's maternal and paternal genes will evolve separate infraorganismal identities, perhaps leaving virtually no coherent individual identity.

  8. Outcomes-Based Authentic Learning, Portfolio Assessment, and a Systems Approach to "Complex Problem-Solving": Related Pillars for Enhancing the Innovative Role of PBL in Future Higher Education

    ERIC Educational Resources Information Center

    Richards, Cameron

    2015-01-01

    The challenge of better reconciling individual and collective aspects of innovative problem-solving can be productively addressed to enhance the role of PBL as a key focus of the creative process in future higher education. This should involve "active learning" approaches supported by related processes of teaching, assessment and…

  9. Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface

    DOE PAGES

    Waytowich, Nicholas R.; Lawhern, Vernon J.; Bohannon, Addison W.; ...

    2016-09-22

    Recent advances in signal processing and machine learning techniques have enabled the application of Brain-Computer Interface (BCI) technologies to fields such as medicine, industry, and recreation; however, BCIs still suffer from the requirement of frequent calibration sessions due to the intra- and inter-individual variability of brain-signals, which makes calibration suppression through transfer learning an area of increasing interest for the development of practical BCI systems. In this paper, we present an unsupervised transfer method (spectral transfer using information geometry,STIG),which ranks and combines unlabeled predictions from an ensemble of information geometry classifiers built on data from individual training subjects. The STIGmore » method is validated in both off-line and real-time feedback analysis during a rapid serial visual presentation task (RSVP). For detection of single-trial, event-related potentials (ERPs), the proposed method can significantly outperform existing calibration-free techniques as well as out perform traditional within-subject calibration techniques when limited data is available. Here, this method demonstrates that unsupervised transfer learning for single-trial detection in ERP-based BCIs can be achieved without the requirement of costly training data, representing a step-forward in the overall goal of achieving a practical user-independent BCI system.« less

  10. Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Waytowich, Nicholas R.; Lawhern, Vernon J.; Bohannon, Addison W.

    Recent advances in signal processing and machine learning techniques have enabled the application of Brain-Computer Interface (BCI) technologies to fields such as medicine, industry, and recreation; however, BCIs still suffer from the requirement of frequent calibration sessions due to the intra- and inter-individual variability of brain-signals, which makes calibration suppression through transfer learning an area of increasing interest for the development of practical BCI systems. In this paper, we present an unsupervised transfer method (spectral transfer using information geometry,STIG),which ranks and combines unlabeled predictions from an ensemble of information geometry classifiers built on data from individual training subjects. The STIGmore » method is validated in both off-line and real-time feedback analysis during a rapid serial visual presentation task (RSVP). For detection of single-trial, event-related potentials (ERPs), the proposed method can significantly outperform existing calibration-free techniques as well as out perform traditional within-subject calibration techniques when limited data is available. Here, this method demonstrates that unsupervised transfer learning for single-trial detection in ERP-based BCIs can be achieved without the requirement of costly training data, representing a step-forward in the overall goal of achieving a practical user-independent BCI system.« less

  11. Cetacean vocal learning and communication.

    PubMed

    Janik, Vincent M

    2014-10-01

    The cetaceans are one of the few mammalian clades capable of vocal production learning. Evidence for this comes from synchronous changes in song patterns of baleen whales and experimental work on toothed whales in captivity. While baleen whales like many vocal learners use this skill in song displays that are involved in sexual selection, toothed whales use learned signals in individual recognition and the negotiation of social relationships. Experimental studies demonstrated that dolphins can use learned signals referentially. Studies on wild dolphins demonstrated how this skill appears to be useful in their own communication system, making them an interesting subject for comparative communication studies. Copyright © 2014. Published by Elsevier Ltd.

  12. Agent Reward Shaping for Alleviating Traffic Congestion

    NASA Technical Reports Server (NTRS)

    Tumer, Kagan; Agogino, Adrian

    2006-01-01

    Traffic congestion problems provide a unique environment to study how multi-agent systems promote desired system level behavior. What is particularly interesting in this class of problems is that no individual action is intrinsically "bad" for the system but that combinations of actions among agents lead to undesirable outcomes, As a consequence, agents need to learn how to coordinate their actions with those of other agents, rather than learn a particular set of "good" actions. This problem is ubiquitous in various traffic problems, including selecting departure times for commuters, routes for airlines, and paths for data routers. In this paper we present a multi-agent approach to two traffic problems, where far each driver, an agent selects the most suitable action using reinforcement learning. The agent rewards are based on concepts from collectives and aim to provide the agents with rewards that are both easy to learn and that if learned, lead to good system level behavior. In the first problem, we study how agents learn the best departure times of drivers in a daily commuting environment and how following those departure times alleviates congestion. In the second problem, we study how agents learn to select desirable routes to improve traffic flow and minimize delays for. all drivers.. In both sets of experiments,. agents using collective-based rewards produced near optimal performance (93-96% of optimal) whereas agents using system rewards (63-68%) barely outperformed random action selection (62-64%) and agents using local rewards (48-72%) performed worse than random in some instances.

  13. Identifying Cognitive Remediation Change Through Computational Modelling—Effects on Reinforcement Learning in Schizophrenia

    PubMed Central

    Cella, Matteo; Bishara, Anthony J.; Medin, Evelina; Swan, Sarah; Reeder, Clare; Wykes, Til

    2014-01-01

    Objective: Converging research suggests that individuals with schizophrenia show a marked impairment in reinforcement learning, particularly in tasks requiring flexibility and adaptation. The problem has been associated with dopamine reward systems. This study explores, for the first time, the characteristics of this impairment and how it is affected by a behavioral intervention—cognitive remediation. Method: Using computational modelling, 3 reinforcement learning parameters based on the Wisconsin Card Sorting Test (WCST) trial-by-trial performance were estimated: R (reward sensitivity), P (punishment sensitivity), and D (choice consistency). In Study 1 the parameters were compared between a group of individuals with schizophrenia (n = 100) and a healthy control group (n = 50). In Study 2 the effect of cognitive remediation therapy (CRT) on these parameters was assessed in 2 groups of individuals with schizophrenia, one receiving CRT (n = 37) and the other receiving treatment as usual (TAU, n = 34). Results: In Study 1 individuals with schizophrenia showed impairment in the R and P parameters compared with healthy controls. Study 2 demonstrated that sensitivity to negative feedback (P) and reward (R) improved in the CRT group after therapy compared with the TAU group. R and P parameter change correlated with WCST outputs. Improvements in R and P after CRT were associated with working memory gains and reduction of negative symptoms, respectively. Conclusion: Schizophrenia reinforcement learning difficulties negatively influence performance in shift learning tasks. CRT can improve sensitivity to reward and punishment. Identifying parameters that show change may be useful in experimental medicine studies to identify cognitive domains susceptible to improvement. PMID:24214932

  14. Conducting correlation seminars in basic sciences at KIST Medical College, Nepal

    PubMed Central

    2011-01-01

    KIST Medical College is a new medical school in Lalitpur, Nepal. In Nepal, six basic science subjects are taught together in an integrated organ system-based manner with early clinical exposure and community medicine. Correlation seminars are conducted at the end of covering each organ system. The topics are decided by the core academic group (consisting of members from each basic science department, the Department of Community Medicine, the academic director, and the clinical and program coordinators) considering the public health importance of the condition and its ability to include learning objectives from a maximum number of subjects. The learning objectives are decided by individual departments and finalized after the meeting of the core group. There are two student coordinators for each seminar and an evaluation group evaluates each seminar and presenter. Correlation seminars help students revise the organ system covered and understand its clinical importance, promote teamwork and organization, and supports active learning. Correlation seminars should be considered as a learning modality by other medical schools. PMID:22066033

  15. Individual differences in the learning potential of human beings

    NASA Astrophysics Data System (ADS)

    Stern, Elsbeth

    2017-01-01

    To the best of our knowledge, the genetic foundations that guide human brain development have not changed fundamentally during the past 50,000 years. However, because of their cognitive potential, humans have changed the world tremendously in the past centuries. They have invented technical devices, institutions that regulate cooperation and competition, and symbol systems, such as script and mathematics, that serve as reasoning tools. The exceptional learning ability of humans allows newborns to adapt to the world they are born into; however, there are tremendous individual differences in learning ability among humans that become obvious in school at the latest. Cognitive psychology has developed models of memory and information processing that attempt to explain how humans learn (general perspective), while the variation among individuals (differential perspective) has been the focus of psychometric intelligence research. Although both lines of research have been proceeding independently, they increasingly converge, as both investigate the concepts of working memory and knowledge construction. This review begins with presenting state-of-the-art research on human information processing and its potential in academic learning. Then, a brief overview of the history of psychometric intelligence research is combined with presenting recent work on the role of intelligence in modern societies and on the nature-nurture debate. Finally, promising approaches to integrating the general and differential perspective will be discussed in the conclusion of this review.

  16. Social learning solves the problem of narrow-peaked search landscapes: experimental evidence in humans.

    PubMed

    Acerbi, Alberto; Tennie, Claudio; Mesoudi, Alex

    2016-09-01

    The extensive use of social learning is considered a major reason for the ecological success of humans. Theoretical considerations, models and experiments have explored the evolutionary basis of social learning, showing the conditions under which learning from others is more adaptive than individual learning. Here we present an extension of a previous experimental set-up, in which individuals go on simulated 'hunts' and their success depends on the features of a 'virtual arrowhead' they design. Individuals can modify their arrowhead either by individual trial and error or by copying others. We study how, in a multimodal adaptive landscape, the smoothness of the peaks influences learning. We compare narrow peaks, in which solutions close to optima do not provide useful feedback to individuals, to wide peaks, where smooth landscapes allow an effective hill-climbing individual learning strategy. We show that individual learning is more difficult in narrow-peaked landscapes, but that social learners perform almost equally well in both narrow- and wide-peaked search spaces. There was a weak trend for more copying in the narrow than wide condition, although as in previous experiments social information was generally underutilized. Our results highlight the importance of tasks' design space when studying the adaptiveness of high-fidelity social learning.

  17. Individual differences in implicit motor learning: task specificity in sensorimotor adaptation and sequence learning.

    PubMed

    Stark-Inbar, Alit; Raza, Meher; Taylor, Jordan A; Ivry, Richard B

    2017-01-01

    In standard taxonomies, motor skills are typically treated as representative of implicit or procedural memory. We examined two emblematic tasks of implicit motor learning, sensorimotor adaptation and sequence learning, asking whether individual differences in learning are correlated between these tasks, as well as how individual differences within each task are related to different performance variables. As a prerequisite, it was essential to establish the reliability of learning measures for each task. Participants were tested twice on a visuomotor adaptation task and on a sequence learning task, either the serial reaction time task or the alternating reaction time task. Learning was evident in all tasks at the group level and reliable at the individual level in visuomotor adaptation and the alternating reaction time task but not in the serial reaction time task. Performance variability was predictive of learning in both domains, yet the relationship was in the opposite direction for adaptation and sequence learning. For the former, faster learning was associated with lower variability, consistent with models of sensorimotor adaptation in which learning rates are sensitive to noise. For the latter, greater learning was associated with higher variability and slower reaction times, factors that may facilitate the spread of activation required to form predictive, sequential associations. Interestingly, learning measures of the different tasks were not correlated. Together, these results oppose a shared process for implicit learning in sensorimotor adaptation and sequence learning and provide insight into the factors that account for individual differences in learning within each task domain. We investigated individual differences in the ability to implicitly learn motor skills. As a prerequisite, we assessed whether individual differences were reliable across test sessions. We found that two commonly used tasks of implicit learning, visuomotor adaptation and the alternating serial reaction time task, exhibited good test-retest reliability in measures of learning and performance. However, the learning measures did not correlate between the two tasks, arguing against a shared process for implicit motor learning. Copyright © 2017 the American Physiological Society.

  18. A knowledge representation approach using fuzzy cognitive maps for better navigation support in an adaptive learning system.

    PubMed

    Chrysafiadi, Konstantina; Virvou, Maria

    2013-12-01

    In this paper a knowledge representation approach of an adaptive and/or personalized tutoring system is presented. The domain knowledge should be represented in a more realistic way in order to allow the adaptive and/or personalized tutoring system to deliver the learning material to each individual learner dynamically taking into account her/his learning needs and her/his different learning pace. To succeed this, the domain knowledge representation has to depict the possible increase or decrease of the learner's knowledge. Considering that the domain concepts that constitute the learning material are not independent from each other, the knowledge representation approach has to allow the system to recognize either the domain concepts that are already partly or completely known for a learner, or the domain concepts that s/he has forgotten, taking into account the learner's knowledge level of the related concepts. In other words, the system should be informed about the knowledge dependencies that exist among the domain concepts of the learning material, as well as the strength on impact of each domain concept on others. Fuzzy Cognitive Maps (FCMs) seem to be an ideal way for representing graphically this kind of information. The suggested knowledge representation approach has been implemented in an e-learning adaptive system for teaching computer programming. The particular system was used by the students of a postgraduate program in the field of Informatics in the University of Piraeus and was compared with a corresponding system, in which the domain knowledge was represented using the most common used technique of network of concepts. The results of the evaluation were very encouraging.

  19. A hierarchical model of the evolution of cooperation in cultural systems.

    PubMed

    Savatsky, K; Reynolds, R G

    1989-01-01

    In this paper the following problem is addressed: "Under what conditions can a collection of individual organisms learn to cooperate when cooperation appears to outwardly degrade individual performance at the outset. In order to attempt a theoretical solution to this problem, data from a real world problem in anthropology is used. A distributed simulation model of this system was developed to assess its long term behavior using using an approach suggested by Zeigler (Zeigler, B.P., 1984, Multifaceted Modelling and Discrete Event Simulation (Academic Press, London)). The results of the simulation are used to show that although cooperation degrades the performance potential of each individual, it enhances the persistence of the individual's partial solution to the problem in certain situations."

  20. The Design and the Formative Evaluation of an Adaptive Educational System Based on Cognitive Styles

    ERIC Educational Resources Information Center

    Triantafillou, Evangelos; Pomportsis, Andreas; Demetriadis, Stavros

    2003-01-01

    Adaptive Hypermedia Systems (AHS) can be developed to accommodate a variety of individual differences, including learning style and cognitive style. The current research is an attempt to examine some of the critical variables, which may be important in the design of an Adaptive Educational System (AES) based on student's cognitive style. Moreover,…

  1. Fostering Undergraduate Research Change at the System and Consortium Level: Perspectives from the Council on Undergraduate Research

    ERIC Educational Resources Information Center

    Malachowski, Mitchell; Osborn, Jeffrey M.; Karukstis, Kerry K.; Ambos, Elizabeth L.; Kincaid, Shontay L.; Weiler, Daniel

    2015-01-01

    In this final chapter, we summarize the lessons learned from working with six systems/consortia to enhance and expand undergraduate research. The theory of change model for systems/consortia differs in significant ways from the change processes exhibited by individual institutions, offering important insights for academic leaders as they seek to…

  2. Design and Evaluation of an Interactive Exercise Coaching System for Older Adults: Lessons Learned

    PubMed Central

    Ofli, Ferda; Kurillo, Gregorij; Obdržálek, Štěpán; Bajcsy, Ruzena; Jimison, Holly; Pavel, Misha

    2016-01-01

    Although the positive effects of exercise on the well-being and quality of independent living for older adults are well-accepted, many elderly individuals lack access to exercise facilities, or the skills and motivation to perform exercise at home. To provide a more engaging environment that promotes physical activity, various fitness applications have been proposed. Many of the available products, however, are geared toward a younger population and are not appropriate or engaging for an older population. To address these issues, we developed an automated interactive exercise coaching system using the Microsoft Kinect. The coaching system guides users through a series of video exercises, tracks and measures their movements, provides real-time feedback, and records their performance over time. Our system consists of exercises to improve balance, flexibility, strength, and endurance, with the aim of reducing fall risk and improving performance of daily activities. In this paper, we report on the development of the exercise system, discuss the results of our recent field pilot study with six independently-living elderly individuals, and highlight the lessons learned relating to the in-home system setup, user tracking, feedback, and exercise performance evaluation. PMID:25594988

  3. Teaching topography-based and selection-based verbal behavior to developmentally disabled individuals: Some considerations

    PubMed Central

    Shafer, Esther

    1993-01-01

    Augmentative and alternative communication systems are widely recommended for nonvocal developmentally disabled individuals, with selection-based systems becoming increasingly popular. However, theoretical and experimental evidence suggests that topography-based communication systems are easier to learn. This paper discusses research relevant to the ease of acquisition of topography-based and selection-based systems. Additionally, current practices for choosing and designing communication systems are reviewed in order to investigate the extent to which links have been made with available theoretical and experimental knowledge. A stimulus equivalence model is proposed as a clearer direction for practitioners to follow when planning a communication training program. Suggestions for future research are also offered. PMID:22477085

  4. Development of a health care systems curriculum

    PubMed Central

    Pruitt, Zachary; Mhaskar, Rahul; Kane, Bryan G; Barraco, Robert D; DeWaay, Deborah J; Rosenau, Alex M; Bresnan, Kristin A; Greenberg, Marna Rayl

    2017-01-01

    Background There is currently no gold standard for delivery of systems-based practice in medical education, and it is challenging to incorporate into medical education. Health systems competence requires physicians to understand patient care within the broader health care system and is vital to improving the quality of care clinicians provide. We describe a health systems curriculum that utilizes problem-based learning across 4 years of systems-based practice medical education at a single institution. Methods This case study describes the application of a problem-based learning approach to system-based practice medical education. A series of behavioral statements, called entrustable professional activities, was created to assess student health system competence. Student evaluation of course curriculum design, delivery, and assessment was provided through web-based surveys. Results To meet competency standards for system-based practice, a health systems curriculum was developed and delivered across 4 years of medical school training. Each of the health system lectures and problem-based learning activities are described herein. The majority of first and second year medical students stated they gained working knowledge of health systems by engaging in these sessions. The majority of the 2016 graduating students (88.24%) felt that the course content, overall, prepared them for their career. Conclusion A health systems curriculum in undergraduate medical education using a problem-based learning approach is feasible. The majority of students learning health systems curriculum through this format reported being prepared to improve individual patient care and optimize the health system’s value (better care and health for lower cost). PMID:29138614

  5. An Investigation on Individual Students' Perceptions of Interest Utilizing a Blended Learning Approach

    ERIC Educational Resources Information Center

    Shroff, Ronnie H.; Vogel, Douglas R.

    2010-01-01

    Research has established that individual student interest has a positive effect on learning and academic achievement. However, little is known about the impact of a blended learning approach on individual student interest and whether combinations of online and face-to-face learning activities significantly enhance student interest. This paper…

  6. Scientific and Policy Statements on Environmental Agents Associated with Neurodevelopmental Disorders

    ERIC Educational Resources Information Center

    Gilbert, Steven G.; Miller, Elise; Martin, Joyce; Abulafia, Laura

    2010-01-01

    Damage to the brain or nervous system at an early developmental stage creates lifelong challenges for the individual. To examine one source of harm to the developing nervous system, the Collaborative on Health and the Environment's (CHE) Learning and Developmental Disabilities Initiative (LDDI) (Collaborative on Health and the Environment, 2009)…

  7. Going in Cycles: Courseware and Material Development for Written Communication

    ERIC Educational Resources Information Center

    Schulze, Mathias; Liebscher, Grit

    2010-01-01

    The development of both the materials for an intermediate-level hybrid German writing course and the software in a virtual learning environment for the course may be viewed as activity systems. Viewing the individual components of each system as interrelated enables us to conceptualize the complexities of the development process, which goes well…

  8. The International System.

    ERIC Educational Resources Information Center

    East, Maurice A.

    Designed as a unit for an international relations course, this systems approach paper outlines a learning method which contributes to the student's awareness that the United States is only one of many actors in the world. It also makes the student aware that there are limitations on the U. S. individual actions because of this interdependence and…

  9. The Regis Plan for Individualization.

    ERIC Educational Resources Information Center

    Newton, Robert R.

    The trend away from closed teaching systems and toward open learning systems between 1965 and 1975 led to the introduction of a number of isolated innovations in Regis High School, a Catholic school in New York City. To provide a sense of coherence and direction to these changes, the faculty designed a comprehensive model for program development…

  10. A Bayesian Tutoring System for Newtonian Mechanics: Can It Adapt to Different Learners?

    ERIC Educational Resources Information Center

    Pek, Peng-Kiat; Poh, Kim-Leng

    2004-01-01

    Newtonian mechanics is a core module in technology courses, but is difficult for many students to learn. Computerized tutoring can assist the teachers to provide individualized instruction. This article presents the application of decision theory to develop a tutoring system, "iTutor", to select optimal tutoring actions under uncertainty of…

  11. Knowledge Production within the Innovation System: A Case Study from the United Kingdom

    ERIC Educational Resources Information Center

    Wilson-Medhurst, Sarah

    2010-01-01

    This paper focuses on a key issue for university managers, educational developers and teaching practitioners: that of producing new operational knowledge in the innovation system. More specifically, it explores the knowledge required to guide individual and institutional styles of teaching and learning in a large multi-disciplinary faculty. The…

  12. Manufacturing Systems. Grades 9-10. Course #8115 (Semester). Technology Education Course Guide. Industrial Arts/Technology Education.

    ERIC Educational Resources Information Center

    North Carolina State Dept. of Public Instruction, Raleigh. Div. of Vocational Education.

    The course materials included in this guide are intended to introduce students to the manufacturing industry and its relationships with society, individuals, and the environment. The following topics are covered in the nine learning modules: manufacturing and society and manufacturing systems; manufacturing materials and processes (types of…

  13. Organizational Learning as an Analogy to Individual Learning? A Case of Augmented Interaction Intensity

    ERIC Educational Resources Information Center

    Döös, Marianne; Johansson, Peter; Wilhelmson, Lena

    2015-01-01

    This paper attempts to explore an analogy between individual and organizational learning within experiential learning theory (ELT). The focus is on both the possibility of identifying a learning subject that learns in action, and on the genesis process behind the learning of a suggested learning subject at organizational level. The exploration…

  14. Human Factors Throughout the Life Cycle: Lessons Learned from the Shuttle Program. [Human Factors in Ground Processing

    NASA Technical Reports Server (NTRS)

    Kanki, Barbara G.

    2011-01-01

    With the ending of the Space Shuttle Program, it is critical that we not forget the Human Factors lessons we have learned over the years. At every phase of the life cycle, from manufacturing, processing and integrating vehicle and payload, to launch, flight operations, mission control and landing, hundreds of teams have worked together to achieve mission success in one of the most complex, high-risk socio-technical enterprises ever designed. Just as there was great diversity in the types of operations performed at every stage, there was a myriad of human factors that could further complicate these human systems. A single mishap or close call could point to issues at the individual level (perceptual or workload limitations, training, fatigue, human error susceptibilities), the task level (design of tools, procedures and aspects of the workplace), as well as the organizational level (appropriate resources, safety policies, information access and communication channels). While we have often had to learn through human mistakes and technological failures, we have also begun to understand how to design human systems in which individuals can excel, where tasks and procedures are not only safe but efficient, and how organizations can foster a proactive approach to managing risk and supporting human enterprises. Panelists will talk about their experiences as they relate human factors to a particular phase of the shuttle life cycle. They will conclude with a framework for tying together human factors lessons-learned into system-level risk management strategies.

  15. Status Report: Mathematics Curriculum-Development Projects Today

    ERIC Educational Resources Information Center

    Arithmetic Teacher, 1972

    1972-01-01

    Brief reports on the Cambridge Conference on School Mathematics, Comprehensive School Mathematics Program, Computer-Assisted Instruction Projects at Stanford, Individually Prescribed Instruction Project, The Madison Project, Mathematics/Science Learning System, MINNEMAST, and School Mathematics Study Group. (MM)

  16. Designing learning environments to teach interactive Quantum Physics

    NASA Astrophysics Data System (ADS)

    Gómez Puente, Sonia M.; Swagten, Henk J. M.

    2012-10-01

    This study aims at describing and analysing systematically an interactive learning environment designed to teach Quantum Physics, a second-year physics course. The instructional design of Quantum Physics is a combination of interactive lectures (using audience response systems), tutorials and self-study in unit blocks, carried out with small groups. Individual formative feedback was introduced as a rapid assessment tool to provide an overview on progress and identify gaps by means of questioning students at three levels: conceptual; prior knowledge; homework exercises. The setup of Quantum Physics has been developed as a result of several loops of adjustments and improvements from a traditional-like type of teaching to an interactive classroom. Results of this particular instructional arrangement indicate significant gains in students' achievements in comparison with the traditional structure of this course, after recent optimisation steps such as the implementation of an individual feedback system.

  17. A Digital Approach to Learning Petrology

    NASA Astrophysics Data System (ADS)

    Reid, M. R.

    2011-12-01

    In the undergraduate igneous and metamorphic petrology course at Northern Arizona University, we are employing petrographic microscopes equipped with relatively inexpensive ( $200) digital cameras that are linked to pen-tablet computers. The camera-tablet systems can assist student learning in a variety of ways. Images provided by the tablet computers can be used for helping students filter the visually complex specimens they examine. Instructors and students can simultaneously view the same petrographic features captured by the cameras and exchange information about them by pointing to salient features using the tablet pen. These images can become part of a virtual mineral/rock/texture portfolio tailored to individual student's needs. Captured digital illustrations can be annotated with digital ink or computer graphics tools; this activity emulates essential features of more traditional line drawings (visualizing an appropriate feature and selecting a representative image of it, internalizing the feature through studying and annotating it) while minimizing the frustration that many students feel about drawing. In these ways, we aim to help a student progress more efficiently from novice to expert. A number of our petrology laboratory exercises involve use of the camera-tablet systems for collaborative learning. Observational responsibilities are distributed among individual members of teams in order to increase interdependence and accountability, and to encourage efficiency. Annotated digital images are used to share students' findings and arrive at an understanding of an entire rock suite. This interdependence increases the individual's sense of responsibility for their work, and reporting out encourages students to practice use of technical vocabulary and to defend their observations. Pre- and post-course student interest in the camera-tablet systems has been assessed. In a post-course survey, the majority of students reported that, if available, they would use camera-tablet systems to capture microscope images (77%) and to make notes on images (71%). An informal focus group recommended introducing the cameras as soon as possible and having them available for making personal mineralogy/petrology portfolios. Because the stakes are perceived as high, use of the camera-tablet systems for peer-peer learning has been progressively modified to bolster student confidence in their collaborative efforts.

  18. With you or against you: social orientation dependent learning signals guide actions made for others.

    PubMed

    Christopoulos, George I; King-Casas, Brooks

    2015-01-01

    In social environments, it is crucial that decision-makers take account of the impact of their actions not only for oneself, but also on other social agents. Previous work has identified neural signals in the striatum encoding value-based prediction errors for outcomes to oneself; also, recent work suggests that neural activity in prefrontal cortex may similarly encode value-based prediction errors related to outcomes to others. However, prior work also indicates that social valuations are not isomorphic, with social value orientations of decision-makers ranging on a cooperative to competitive continuum; this variation has not been examined within social learning environments. Here, we combine a computational model of learning with functional neuroimaging to examine how individual differences in orientation impact neural mechanisms underlying 'other-value' learning. Across four experimental conditions, reinforcement learning signals for other-value were identified in medial prefrontal cortex, and were distinct from self-value learning signals identified in striatum. Critically, the magnitude and direction of the other-value learning signal depended strongly on an individual's cooperative or competitive orientation toward others. These data indicate that social decisions are guided by a social orientation-dependent learning system that is computationally similar but anatomically distinct from self-value learning. The sensitivity of the medial prefrontal learning signal to social preferences suggests a mechanism linking such preferences to biases in social actions and highlights the importance of incorporating heterogeneous social predispositions in neurocomputational models of social behavior. Published by Elsevier Inc.

  19. Forum for Organisational Learning: Combining Learning at Work, Organisational Learning and Training in New Ways.

    ERIC Educational Resources Information Center

    Simons, P. R. J.; Germans, J.; Ruijters, M.

    2003-01-01

    The Forum for Organisational Learning is designed to bridge gaps among individual, group/team, and organizational learning. Organizational representatives form communities of learning; their core content involves five paradoxes: top-down and bottom-up approaches, working and learning, individual and organizational goals, structure and empowerment…

  20. Competency-based Education and Training of medical staff. A Programm of the Medical Academy Waldbreitbach: Concept – Implementation – Materials

    PubMed Central

    Hasske, Eva; Beil, Michael; Keller, Katrin

    2017-01-01

    Objective: The aim of the Medical Academy Waldbreitbach is to connect individual and organisational requirements in order to promote an appropriate and multi-locational development of medical competency in the face of the continuously evolving challenges of clinical practice. Integral processes in this are the reduction of organisational learning barriers and the successive integration of competency-oriented learning events in the structures of personnel and organisational development. The modular system for the further development of doctors’ skills serves here as a supplementary and recommendation system for both existing curricula and those defined by regulatory organisations and professional associations. Methods: The Medical Academy’s modular system has a two-dimensional structure. In addition to the axis of biography orientation, the model orients itself around issues relating to the needs of a doctor in any individual professional position, as well as with whom he comes into contact and where his primary challenges lie. In order to achieve better integration in day-to-day routine and a needs-specific orientation of content, the modular system provides a combination of “one, two or three day and two- three- or four-hour training units” depending upon the topic. The transfer of experiential knowledge with the aid of practical exercises is a central element of the didactic model. Results: Through the combined use of summative and formative assessment, the significance of a dialogue-orientated approach in both planning and in the organisational process was highlighted. In feedback discussions and quantitative evaluation sheets, participants identified in particular cross-generational knowledge sharing as a central element for the development of personal values alongside the interdisciplinary transfer of knowledge. The combination of specialist and interdisciplinary topics, for example on team processes or communication, is frequently emphasised, indicating that this had been taught insufficiently and impractically during medical school. Longitudinal evaluations of continuous course units support this, so that the reinforcement of informal learning processes through feedback and exchange of experience is established as an effective and integral learning pattern within the modular system. Conclusion: The of the modular system of the Medical Academy Waldbreitbach – as an institution of the Marienhaus Hospitals Ltd. – is to develop the knowledge, ability and motivation of doctors both individually and professionally. Here, an equally high demand is placed upon the advancement of individual dispositions, attitudes and values, as well as on specialised topics, in order to promote/develop solutions-based and overall medical activity. PMID:29085885

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