From Neurons to Brainpower: Cognitive Neuroscience and Brain-Based Learning

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Phillips, Janet M.

2005-01-01

We have learned more about the brain in the past five years than the previous 100. Neuroimaging, lesion studies, and animal studies have revealed the intricate inner workings of the brain and learning. Synaptogenesis, pruning, sensitive periods, and plasticity have all become accepted concepts of cognitive neuroscience that are now being applied…

Brain-Based Learning and Educational Neuroscience: Boundary Work

Science.gov (United States)

Edelenbosch, Rosanne; Kupper, Frank; Krabbendam, Lydia; Broerse, Jacqueline E. W.

2015-01-01

Much attention has been given to "bridging the gap" between neuroscience and educational practice. In order to gain better understanding of the nature of this gap and of possibilities to enable the linking process, we have taken a boundary perspective on these two fields and the brain-based learning approach, focusing on…

The Neuroscience of Mathematical Cognition and Learning. OECD Education Working Papers, No. 136

Science.gov (United States)

Looi, Chung Yen; Thompson, Jacqueline; Krause, Beatrix; Kadosh, Roi Cohen

2016-01-01

The synergistic potential of cognitive neuroscience and education for efficient learning has attracted considerable interest from the general public, teachers, parents, academics and policymakers alike. This review is aimed at providing 1) an accessible and general overview of the research progress made in cognitive neuroscience research in…

Advances in the Use of Neuroscience Methods in Research on Learning and Instruction

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De Smedt, Bert

2014-01-01

Cognitive neuroscience offers a series of tools and methodologies that allow researchers in the field of learning and instruction to complement and extend the knowledge they have accumulated through decades of behavioral research. The appropriateness of these methods depends on the research question at hand. Cognitive neuroscience methods allow…

Tackling student neurophobia in neurosciences block with team-based learning

Directory of Open Access Journals (Sweden)

Khurshid Anwar

2015-07-01

Full Text Available Introduction: Traditionally, neurosciences is perceived as a difficult course in undergraduate medical education with literature suggesting use of the term “Neurophobia” (fear of neurology among medical students. Instructional strategies employed for the teaching of neurosciences in undergraduate curricula traditionally include a combination of lectures, demonstrations, practical classes, problem-based learning and clinico-pathological conferences. Recently, team-based learning (TBL, a student-centered instructional strategy, has increasingly been regarded by many undergraduate medical courses as an effective method to assist student learning. Methods: In this study, 156 students of year-three neuroscience block were divided into seven male and seven female groups, comprising 11–12 students in each group. TBL was introduced during the 6 weeks of this block, and a total of eight TBL sessions were conducted during this duration. We evaluated the effect of TBL on student learning and correlated it with the student's performance in summative assessment. Moreover, the students’ perceptions regarding the process of TBL was assessed by online survey. Results: We found that students who attended TBL sessions performed better in the summative examinations as compared to those who did not. Furthermore, students performed better in team activities compared to individual testing, with male students performing better with a more favorable impact on their grades in the summative examination. There was an increase in the number of students achieving higher grades (grade B and above in this block when compared to the previous block (51.7% vs. 25%. Moreover, the number of students at risk for lower grades (Grade B- and below decreased in this block when compared to the previous block (30.6% vs. 55%. Students generally elicited a favorable response regarding the TBL process, as well as expressed satisfaction with the content covered and felt that such

Integrated neuroscience program: an alternative approach to teaching neurosciences to chiropractic students.

Science.gov (United States)

He, Xiaohua; La Rose, James; Zhang, Niu

2009-01-01

Most chiropractic colleges do not offer independent neuroscience courses because of an already crowded curriculum. The Palmer College of Chiropractic Florida has developed and implemented an integrated neuroscience program that incorporates neurosciences into different courses. The goals of the program have been to bring neurosciences to students, excite students about the interrelationship of neuroscience and chiropractic, improve students' understanding of neuroscience, and help the students understand the mechanisms underpinning the chiropractic practice. This study provides a descriptive analysis on how the integrated neuroscience program is taught via students' attitudes toward neuroscience and the comparison of students' perceptions of neuroscience content knowledge at different points in the program. A questionnaire consisting of 58 questions regarding the neuroscience courses was conducted among 339 students. The questionnaire was developed by faculty members who were involved in teaching neuroscience and administered in the classroom by faculty members who were not involved in the study. Student perceptions of their neuroscience knowledge, self-confidence, learning strategies, and knowledge application increased considerably through the quarters, especially among the 2nd-year students. The integrated neuroscience program achieved several of its goals, including an increase in students' confidence, positive attitude, ability to learn, and perception of neuroscience content knowledge. The authors believe that such gains can expand student ability to interpret clinical cases and inspire students to become excited about chiropractic research. The survey provides valuable information for teaching faculty to make the course content more relevant to chiropractic students.

Do the Modern Neurosciences Call for a New Model of Organizational Cognition?

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Seni, Dan Alexander

2012-10-01

Our purpose in this paper is to try to make a significant contribution to the analysis of cognitive capabilities of the organization of active social systems such as the business enterprise by re-examining the concepts of organizational intelligence, organizational memory and organizational learning in light of the findings of modern neuroscience. In fact, in this paper we propose that neuroscience shows that sociocognitivity is for real. In other words, cognition, in the broad sense, is not exclusive to living organisms: Certain kinds of social organizations (e.g. the enterprise) possess elementary cognitive capabilities by virtue of their structure and their functions. The classical theory of organizational cognition is the theory of Artificial Intelligence. We submit that this approach has proven to be false and barren, and that a materialist emergentist neuroscientific approach, in the tradition of Mario Bunge (2003, 2006), leads to a far more fruitful viewpoint, both for theory development and for eventual factual verification. Our proposals for sociocognitivity are based on findings in three areas of modern neuroscience and biopsychology: (1) The theory of intelligence and of intelligent systems; (2) The neurological theory of memory as distributed, hierarchical neuronal systems; (3) The theory of cognitive action in general and of learning in particular. We submit that findings in every one of these areas are applicable to the social organization.

Perceptual category learning and visual processing: An exercise in computational cognitive neuroscience.

Science.gov (United States)

Cantwell, George; Riesenhuber, Maximilian; Roeder, Jessica L; Ashby, F Gregory

2017-05-01

The field of computational cognitive neuroscience (CCN) builds and tests neurobiologically detailed computational models that account for both behavioral and neuroscience data. This article leverages a key advantage of CCN-namely, that it should be possible to interface different CCN models in a plug-and-play fashion-to produce a new and biologically detailed model of perceptual category learning. The new model was created from two existing CCN models: the HMAX model of visual object processing and the COVIS model of category learning. Using bitmap images as inputs and by adjusting only a couple of learning-rate parameters, the new HMAX/COVIS model provides impressively good fits to human category-learning data from two qualitatively different experiments that used different types of category structures and different types of visual stimuli. Overall, the model provides a comprehensive neural and behavioral account of basal ganglia-mediated learning. Copyright © 2017 Elsevier Ltd. All rights reserved.

Introduction to The neurosciences and music IV: learning and memory.

Science.gov (United States)

Altenmüller, E; Demorest, S M; Fujioka, T; Halpern, A R; Hannon, E E; Loui, P; Majno, M; Oechslin, M S; Osborne, N; Overy, K; Palmer, C; Peretz, I; Pfordresher, P Q; Särkämö, T; Wan, C Y; Zatorre, R J

2012-04-01

The conference entitled "The Neurosciences and Music-IV: Learning and Memory'' was held at the University of Edinburgh from June 9-12, 2011, jointly hosted by the Mariani Foundation and the Institute for Music in Human and Social Development, and involving nearly 500 international delegates. Two opening workshops, three large and vibrant poster sessions, and nine invited symposia introduced a diverse range of recent research findings and discussed current research directions. Here, the proceedings are introduced by the workshop and symposia leaders on topics including working with children, rhythm perception, language processing, cultural learning, memory, musical imagery, neural plasticity, stroke rehabilitation, autism, and amusia. The rich diversity of the interdisciplinary research presented suggests that the future of music neuroscience looks both exciting and promising, and that important implications for music rehabilitation and therapy are being discovered. © 2012 New York Academy of Sciences.

The potential relevance of cognitive neuroscience for the development and use of technology-enhanced learning

NARCIS (Netherlands)

Howard-Jones, Paul; Ott, Michela; van Leeuwen, Theo; De Smedt, Bert

2015-01-01

There is increasing interest in the application of cognitive neuroscience in educational thinking and practice, and here we review findings from neuroscience that demonstrate its potential relevance to technology-enhanced learning (TEL). First, we identify some of the issues in integrating

Wisdom, the Body, and Adult Learning: Insights from Neuroscience

Science.gov (United States)

Swartz, Ann L.

2011-01-01

In adult education, there has recently been a recognition of the body's role in adult learning. Attention to neuroscience is somewhat limited, though is emerging. These two perspectives are not integrated. With this article, the author argues that adult education must look to science to achieve a deeper understanding of the evolving…

Effectiveness of interactive, online games in learning neuroscience and students' perception of the games as learning tools. A pre-experimental study.

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Thompson, Marilyn E; Ford, Ruth; Webster, Andrew

2011-01-01

Neurological concepts applicable to a doctorate in occupational therapy are often challenging to comprehend, and students are required to demonstrate critical reasoning skills beyond simply recalling the information. To achieve this, various learning and teaching strategies are used, including the use of technology in the classroom. The availability of technology in academic settings has allowed for diverse and active teaching approaches. This includes videos, web-based instruction, and interactive online games. In this quantitative pre-experimental analysis, the learning and retention of neuroscience concepts by 30 occupational therapy doctoral students, who participated in an interactive online learning experience, were assessed. The results suggest that student use of these tools may enhance their learning of neuroscience. Furthermore, the students felt that the sites were appropriate, beneficial to them, and easy to use. Thus, the use of online, interactive neuroscience games may be effective in reinforcing lecture materials. This needs to be further assessed in a larger sample size.

The MVP Model as an Organizing Framework for Neuroscience Findings Related to Learning

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Zakrajsek, Todd M.

2017-01-01

This chapter describes the ways in which the MVP model relates to recent research on neuroscience and learning, and demonstrates how those relationships may be used to better understand physiological impacts on motivation, and to facilitate improved learning.

Toward an Integration of Deep Learning and Neuroscience

Science.gov (United States)

Marblestone, Adam H.; Wayne, Greg; Kording, Konrad P.

2016-01-01

Neuroscience has focused on the detailed implementation of computation, studying neural codes, dynamics and circuits. In machine learning, however, artificial neural networks tend to eschew precisely designed codes, dynamics or circuits in favor of brute force optimization of a cost function, often using simple and relatively uniform initial architectures. Two recent developments have emerged within machine learning that create an opportunity to connect these seemingly divergent perspectives. First, structured architectures are used, including dedicated systems for attention, recursion and various forms of short- and long-term memory storage. Second, cost functions and training procedures have become more complex and are varied across layers and over time. Here we think about the brain in terms of these ideas. We hypothesize that (1) the brain optimizes cost functions, (2) the cost functions are diverse and differ across brain locations and over development, and (3) optimization operates within a pre-structured architecture matched to the computational problems posed by behavior. In support of these hypotheses, we argue that a range of implementations of credit assignment through multiple layers of neurons are compatible with our current knowledge of neural circuitry, and that the brain's specialized systems can be interpreted as enabling efficient optimization for specific problem classes. Such a heterogeneously optimized system, enabled by a series of interacting cost functions, serves to make learning data-efficient and precisely targeted to the needs of the organism. We suggest directions by which neuroscience could seek to refine and test these hypotheses. PMID:27683554

Learning with Interactive Computer Graphics in the Undergraduate Neuroscience Classroom

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Pani, John R.; Chariker, Julia H.; Naaz, Farah; Mattingly, William; Roberts, Joshua; Sephton, Sandra E.

2014-01-01

Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of…

Neuroscience and the fallacies of functionalism.

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Reddy, William M

2010-01-01

Smail's "On Deep History and the Brain" is rightly critical of the functionalist fallacies that have plagued evolutionary theory, sociobiology, and evolutionary psychology. However, his attempt to improve on these efforts relies on functional explanations that themselves oversimplify the lessons of neuroscience. In addition, like explanations in evolutionary psychology, they are highly speculative and cannot be confirmed or disproved by evidence. Neuroscience research is too diverse to yield a single picture of brain functioning. Some recent developments in neuroscience research, however, do suggest that cognitive processing provides a kind of “operating system” that can support a great diversity of cultural material. These developments include evidence of “top-down” processing in motor control, in visual processing, in speech recognition, and in “emotion regulation.” The constraints that such a system may place on cultural learning and transmission are worth investigating. At the same time, historians are well advised to remain wary of the pitfalls of functionalism.

The Potential Relevance of Cognitive Neuroscience for the Development and Use of Technology-Enhanced Learning

Science.gov (United States)

Howard-Jones, Paul; Ott, Michela; van Leeuwen, Theo; De Smedt, Bert

2015-01-01

There is increasing interest in the application of cognitive neuroscience in educational thinking and practice, and here we review findings from neuroscience that demonstrate its potential relevance to technology-enhanced learning (TEL). First, we identify some of the issues in integrating neuroscientific concepts into TEL research. We caution…

Theories and control models and motor learning: clinical applications in neuro-rehabilitation.

Science.gov (United States)

Cano-de-la-Cuerda, R; Molero-Sánchez, A; Carratalá-Tejada, M; Alguacil-Diego, I M; Molina-Rueda, F; Miangolarra-Page, J C; Torricelli, D

2015-01-01

In recent decades there has been a special interest in theories that could explain the regulation of motor control, and their applications. These theories are often based on models of brain function, philosophically reflecting different criteria on how movement is controlled by the brain, each being emphasised in different neural components of the movement. The concept of motor learning, regarded as the set of internal processes associated with practice and experience that produce relatively permanent changes in the ability to produce motor activities through a specific skill, is also relevant in the context of neuroscience. Thus, both motor control and learning are seen as key fields of study for health professionals in the field of neuro-rehabilitation. The major theories of motor control are described, which include, motor programming theory, systems theory, the theory of dynamic action, and the theory of parallel distributed processing, as well as the factors that influence motor learning and its applications in neuro-rehabilitation. At present there is no consensus on which theory or model defines the regulations to explain motor control. Theories of motor learning should be the basis for motor rehabilitation. The new research should apply the knowledge generated in the fields of control and motor learning in neuro-rehabilitation. Copyright © 2011 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

Giving up on convergence and autonomy: Why the theories of psychology and neuroscience are codependent as well as irreconcilable.

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Hochstein, Eric

2016-04-01

There is a long-standing debate in the philosophy of mind and philosophy of science regarding how best to interpret the relationship between neuroscience and psychology. It has traditionally been argued that either the two domains will evolve and change over time until they converge on a single unified account of human behaviour, or else that they will continue to work in isolation given that they identify properties and states that exist autonomously from one another (due to the multiple-realizability of psychological states). In this paper, I argue that progress in psychology and neuroscience is contingent on the fact that both of these positions are false. Contra the convergence position, I argue that the theories of psychology and the theories of neuroscience are scientifically valuable as representational tools precisely because they cannot be integrated into a single account. However, contra the autonomy position, I propose that the theories of psychology and neuroscience are deeply dependent on one another for further refinement and improvement. In this respect, there is an irreconcilable codependence between psychology and neuroscience that is necessary for both domains to improve and progress. The two domains are forever linked while simultaneously being unable to integrate. Copyright © 2015 Elsevier Ltd. All rights reserved.

Implications of Attachment Theory and Neuroscience for the Psychotherapeutic Treatment of Obesity and Overeating.

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Weiss, Fran

2018-05-07

This article examines psychological sequelae underlying dysregulated eating in the overweight and obese patient and proposes a psychotherapy approach informed by classical and modern attachment theory, developmental trauma, and neuroscience to address these structural deficits.

A competency-based longitudinal core curriculum in medical neuroscience.

Science.gov (United States)

Merlin, Lisa R; Horak, Holli A; Milligan, Tracey A; Kraakevik, Jeff A; Ali, Imran I

2014-07-29

Current medical educational theory encourages the development of competency-based curricula. The Accreditation Council for Graduate Medical Education's 6 core competencies for resident education (medical knowledge, patient care, professionalism, interpersonal and communication skills, practice-based learning, and systems-based practice) have been embraced by medical schools as the building blocks necessary for becoming a competent licensed physician. Many medical schools are therefore changing their educational approach to an integrated model in which students demonstrate incremental acquisition and mastery of all competencies as they progress through medical school. Challenges to medical schools include integration of preclinical and clinical studies as well as development of learning objectives and assessment measures for each competency. The Undergraduate Education Subcommittee (UES) of the American Academy of Neurology (AAN) assembled a group of neuroscience educators to outline a longitudinal competency-based curriculum in medical neuroscience encompassing both preclinical and clinical coursework. In development of this curriculum, the committee reviewed United States Medical Licensing Examination content outlines, Liaison Committee on Medical Education requirements, prior AAN-mandated core curricula for basic neuroscience and clinical neurology, and survey responses from educators in US medical schools. The newly recommended curriculum provides an outline of learning objectives for each of the 6 competencies, listing each learning objective in active terms. Documentation of experiences is emphasized, and assessment measures are suggested to demonstrate adequate achievement in each competency. These guidelines, widely vetted and approved by the UES membership, aspire to be both useful as a stand-alone curriculum and also provide a framework for neuroscience educators who wish to develop a more detailed focus in certain areas of study. © 2014 American Academy

Neuroscience is Bad

DEFF Research Database (Denmark)

Presskorn-Thygesen, Thomas

The title is telling: I will argue first that ‘traditional’ cognitive neuroscience is conceptually flawed and secondly – as an open question – inquire whether theories of brain plasticity are scientifically more sound and more apt to enter into collaboration with the social sciences. The ascripti......The title is telling: I will argue first that ‘traditional’ cognitive neuroscience is conceptually flawed and secondly – as an open question – inquire whether theories of brain plasticity are scientifically more sound and more apt to enter into collaboration with the social sciences...

Reflections on Neuroscience in Teacher Education

Science.gov (United States)

Coch, Donna

2018-01-01

The majority of teacher preparation programs do not address neuroscience in their curricula. This is curious, as learning occurs in the brain in context and teachers fundamentally foster and facilitate learning. On the one hand, merging neuroscience knowledge into teacher training programs is fraught with challenges, such as reconciling how…

The practical and principled problems with educational neuroscience.

Science.gov (United States)

Bowers, Jeffrey S

2016-10-01

The core claim of educational neuroscience is that neuroscience can improve teaching in the classroom. Many strong claims are made about the successes and the promise of this new discipline. By contrast, I show that there are no current examples of neuroscience motivating new and effective teaching methods, and argue that neuroscience is unlikely to improve teaching in the future. The reasons are twofold. First, in practice, it is easier to characterize the cognitive capacities of children on the basis of behavioral measures than on the basis of brain measures. As a consequence, neuroscience rarely offers insights into instruction above and beyond psychology. Second, in principle, the theoretical motivations underpinning educational neuroscience are misguided, and this makes it difficult to design or assess new teaching methods on the basis of neuroscience. Regarding the design of instruction, it is widely assumed that remedial instruction should target the underlying deficits associated with learning disorders, and neuroscience is used to characterize the deficit. However, the most effective forms of instruction may often rely on developing compensatory (nonimpaired) skills. Neuroscience cannot determine whether instruction should target impaired or nonimpaired skills. More importantly, regarding the assessment of instruction, the only relevant issue is whether the child learns, as reflected in behavior. Evidence that the brain changed in response to instruction is irrelevant. At the same time, an important goal for neuroscience is to characterize how the brain changes in response to learning, and this includes learning in the classroom. Neuroscientists cannot help educators, but educators can help neuroscientists. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Toward a Neuroscience of Adult Cognitive Developmental Theory

Directory of Open Access Journals (Sweden)

Fady Girgis

2018-01-01

Full Text Available Piaget's genetic epistemology has provided the constructivist approach upon which child developmental theories were founded, in that infants are thought to progress through distinct cognitive stages until they reach maturity in their early 20's. However, it is now well established that cognition continues to develop after early adulthood, and several “neo-Piagetian” theories have emerged in an attempt to better characterize adult cognitive development. For example, Kegan's Constructive Developmental Theory (CDT argues that the thought processes used by adults to construct their reality change over time, and reaching higher stages of cognitive development entails becoming objectively aware of emotions and beliefs that were previously in the realm of the subconscious. In recent years, neuroscience has shown a growing interest in the biological substrates and neural mechanisms encompassing adult cognitive development, because psychological and psychiatric disorders can arise from deficiencies therein. In this article, we will use Kegan's CDT as a framework to discuss adult cognitive development in relation to closely correlated existing constructs underlying social processing, such as the perception of self and others. We will review the functional imaging and electrophysiologic evidence behind two key concepts relating to these posited developmental changes. These include self-related processing, a field that distinguishes between having conscious experiences (“being a self” and being aware of oneself having conscious experiences (“being aware of being a self”; and theory of mind, which is the objective awareness of possessing mental states such as beliefs and desires (i.e., having a “mind” and the understanding that others possess mental states that can be different from one's own. We shall see that cortical midline structures, including the medial prefrontal cortex and cingulate gyrus, as well as the temporal lobe, are associated

Toward a Neuroscience of Adult Cognitive Developmental Theory.

Science.gov (United States)

Girgis, Fady; Lee, Darrin J; Goodarzi, Amir; Ditterich, Jochen

2018-01-01

Piaget's genetic epistemology has provided the constructivist approach upon which child developmental theories were founded, in that infants are thought to progress through distinct cognitive stages until they reach maturity in their early 20's. However, it is now well established that cognition continues to develop after early adulthood, and several "neo-Piagetian" theories have emerged in an attempt to better characterize adult cognitive development. For example, Kegan's Constructive Developmental Theory (CDT) argues that the thought processes used by adults to construct their reality change over time, and reaching higher stages of cognitive development entails becoming objectively aware of emotions and beliefs that were previously in the realm of the subconscious. In recent years, neuroscience has shown a growing interest in the biological substrates and neural mechanisms encompassing adult cognitive development, because psychological and psychiatric disorders can arise from deficiencies therein. In this article, we will use Kegan's CDT as a framework to discuss adult cognitive development in relation to closely correlated existing constructs underlying social processing, such as the perception of self and others. We will review the functional imaging and electrophysiologic evidence behind two key concepts relating to these posited developmental changes. These include self-related processing, a field that distinguishes between having conscious experiences ("being a self") and being aware of oneself having conscious experiences ("being aware of being a self"); and theory of mind, which is the objective awareness of possessing mental states such as beliefs and desires (i.e., having a "mind") and the understanding that others possess mental states that can be different from one's own. We shall see that cortical midline structures, including the medial prefrontal cortex and cingulate gyrus, as well as the temporal lobe, are associated with psychological tasks that

Neuroscience applied to learning alphabetic principles: new proposals

Directory of Open Access Journals (Sweden)

Leonor Scliar-Cabral

2012-12-01

Full Text Available http://dx.doi.org/10.5007/2175-8026.2012n63p187   This study reviews recent data on functional illiteracy and advances on neuroscience about the reading process. alarming figures on functional illiteracy will be presented with examples of UK and brazil. Empirical evidences brought by neuroscience prove the neuropsychological basis constructs, namely invariance already claimed by modern linguistics. however, emphasis will be given to the psychological reality of letters’ feature invariance, demonstrated by various experiments which had been recently run by neuroscientists. two types of invariance are shown, the spatial and the font invariance, exemplified by a description of invariant features of the roman alphabet. We then cite the major difficulties faced at by beginning readers, namely, how to dismember the chain speech into words (separated in the written space by blanks and the syllable into its units, in order to link them to their correspondent graphemes (composed by one or more letters.  in addition, one of the major difficulties is how to teach neurons to dissymmetrize the letter features. neuroscience conclusions from experiments about the readingprocess demonstrate that neurons of the  occipito-temporalventral region of the left hemisphere must be recycled in orderto learn how to recognize the written word.  altogether withthe results obtained on a well succeeded experience run by theprogram Early intervention initiative (Eii and by an experimentrun in a Florianopolis school, in 2012, they give support to thestrategies to prevent functional illiteracy.

[From brain imaging to good teaching? implicating from neuroscience for research on learning and instruction].

Science.gov (United States)

Stubenrauch, Christa; Krinzinger, Helga; Konrad, Kerstin

2014-07-01

Psychiatric disorders in childhood and adolescence, in particular attention deficit disorder or specific learning disorders like developmental dyslexia and developmental dyscalculia, affect academic performance and learning at school. Recent advances in neuroscientific research have incited an intensive debate both in the general public and in the field of educational and instructional science as well as to whether and to what extent these new findings in the field of neuroscience might be of importance for school-related learning and instruction. In this review, we first summarize neuroscientific findings related to the development of attention, working memory and executive functions in typically developing children and then evaluate their relevance for school-related learning. We present an overview of neuroimaging studies of specific learning disabilities such as developmental dyslexia and developmental dyscalculia, and critically discuss their practical implications for educational and teaching practice, teacher training, early diagnosis as well as prevention and disorder-specific therapy. We conclude that the new interdisciplinary field of neuroeducation cannot be expected to provide direct innovative educational applications (e.g., teaching methods). Rather, the future potential of neuroscience lies in creating a deeper understanding of the underlying cognitive mechanisms and pathomechanisms of learning processes and learning disorders.

The development of a neuroscience-based methodology for the nuclear energy learning/teaching process

International Nuclear Information System (INIS)

Barabas, Roberta de C.; Sabundjian, Gaiane

2015-01-01

When compared to other energy sources such as fossil fuels, coal, oil, and gas, nuclear energy has perhaps the lowest impact on the environment. Moreover, nuclear energy has also benefited other fields such as medicine, pharmaceutical industry, and agriculture, among others. However, despite all benefits that result from the peaceful uses of nuclear energy, the theme is still addressed with prejudice. Education may be the starting point for public acceptance of nuclear energy as it provides pedagogical approaches, learning environments, and human resources, which are essential conditions for effective learning. So far nuclear energy educational researches have been conducted using only conventional assessment methods. The global educational scenario has demonstrated absence of neuroscience-based methods for the teaching of nuclear energy, and that may be an opportunity for developing new strategic teaching methods that will help demystifying the theme consequently improving public acceptance of this type of energy. This work aims to present the first step of a methodology in progress based on researches in neuroscience to be applied to Brazilian science teachers in order to contribute to an effective teaching/learning process. This research will use the Implicit Association Test (IAT) to verify implicit attitudes of science teachers concerning nuclear energy. Results will provide data for the next steps of the research. The literature has not reported a similar neuroscience-based methodology applied to the nuclear energy learning/teaching process; therefore, this has demonstrated to be an innovating methodology. The development of the methodology is in progress and the results will be presented in future works. (author)

The development of a neuroscience-based methodology for the nuclear energy learning/teaching process

Energy Technology Data Exchange (ETDEWEB)

Barabas, Roberta de C.; Sabundjian, Gaiane, E-mail: robertabarabas@usp.br, E-mail: gdjian@ipen.br [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

2015-07-01

When compared to other energy sources such as fossil fuels, coal, oil, and gas, nuclear energy has perhaps the lowest impact on the environment. Moreover, nuclear energy has also benefited other fields such as medicine, pharmaceutical industry, and agriculture, among others. However, despite all benefits that result from the peaceful uses of nuclear energy, the theme is still addressed with prejudice. Education may be the starting point for public acceptance of nuclear energy as it provides pedagogical approaches, learning environments, and human resources, which are essential conditions for effective learning. So far nuclear energy educational researches have been conducted using only conventional assessment methods. The global educational scenario has demonstrated absence of neuroscience-based methods for the teaching of nuclear energy, and that may be an opportunity for developing new strategic teaching methods that will help demystifying the theme consequently improving public acceptance of this type of energy. This work aims to present the first step of a methodology in progress based on researches in neuroscience to be applied to Brazilian science teachers in order to contribute to an effective teaching/learning process. This research will use the Implicit Association Test (IAT) to verify implicit attitudes of science teachers concerning nuclear energy. Results will provide data for the next steps of the research. The literature has not reported a similar neuroscience-based methodology applied to the nuclear energy learning/teaching process; therefore, this has demonstrated to be an innovating methodology. The development of the methodology is in progress and the results will be presented in future works. (author)

Computational neuroscience a first course

CERN Document Server

Mallot, Hanspeter A

2013-01-01

Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and  equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.

Integrating neuroscience in the training of psychiatrists: a patient-centered didactic curriculum based on adult learning principles.

Science.gov (United States)

Ross, David A; Rohrbaugh, Robert

2014-04-01

The authors describe the development and implementation of a new adult psychiatry residency didactic curriculum based on adult learning principles and an integrative, patient-centered approach that includes a progressive 4-year neuroscience curriculum. The authors describe the process of conducting a needs assessment, engaging stakeholders and developing guiding principles for the new curriculum. The curriculum was evaluated using qualitative measures, a resident survey, course evaluations, and a pilot version of a specialized assessment tool. Feedback from the resident survey and from course evaluations was positive, and residents indicated interest in receiving additional training in neuroscience. Residents self-reported not incorporating neuroscience into formulation and treatment planning as often as other perspectives. They also reported that neuroscience was reinforced less by clinical faculty than other perspectives. Performance on the curriculum assessment corroborated that clinical application of neuroscience may benefit from additional reinforcement. Residents responded well to the design and content of the new didactic curriculum. The neuroscience component appears to have achieved its primary objective of enhancing attitudes to the field. Continued work including enhancing the culture of neuroscience at the clinical sites may be required to achieve broader behavioral goals.

Towards an Understanding of Neuroscience for Science Educators

Science.gov (United States)

Oliver, Mary

2011-01-01

Advances in neuroscience have brought new insights to the development of cognitive functions. These data are of considerable interest to educators concerned with how students learn. This review documents some of the recent findings in neuroscience, which is richer in describing cognitive functions than affective aspects of learning. A brief…

Attitudes toward neuroscience education among psychiatry residents and fellows.

Science.gov (United States)

Fung, Lawrence K; Akil, Mayada; Widge, Alik; Roberts, Laura Weiss; Etkin, Amit

2014-04-01

The purpose of this study is to assess the attitudes of psychiatry trainees toward neuroscience education in psychiatry residency and subsequent training in order to inform neuroscience education approaches in the future. This online survey was designed to capture demographic information, self-assessed neuroscience knowledge, attitudes toward neuroscience education, preferences in learning modalities, and interest in specific neuroscience topics. Volunteers were identified through the American Psychiatric Association, which invited 2,563 psychiatry trainees among their members. Four hundred thirty-six trainees completed the survey. Nearly all agreed that there is a need for more neuroscience education in psychiatry residency training (94%) and that neuroscience education could help destigmatize mental illness (91%). Nearly all (94%) expressed interest in attending a 3-day course on neuroscience. Many neuroscience topics and modes of learning were viewed favorably by participants. Residents in their first 2 years of training expressed attitudes similar to those of more advanced residents and fellows. Some differences were found based on the level of interest in a future academic role. This web-based study demonstrates that psychiatry residents see neuroscience education as important in their training and worthy of greater attention. Our results suggest potential opportunities for advancing neuroscience education.

Preparing for Future Learning with a Tangible User Interface: The Case of Neuroscience

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Schneider, B.; Wallace, J.; Blikstein, P.; Pea, R.

2013-01-01

In this paper, we describe the development and evaluation of a microworld-based learning environment for neuroscience. Our system, BrainExplorer, allows students to discover the way neural pathways work by interacting with a tangible user interface. By severing and reconfiguring connections, users can observe how the visual field is impaired and,…

Connecting Neuroscience, Cognitive, and Educational Theories and Research to Practice: A Review of Mathematics Intervention Programs

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Kroeger, Lori A.; Brown, Rhonda Douglas; O'Brien, Beth A.

2012-01-01

Research Findings: This article describes major theories and research on math cognition across the fields of neuroscience, cognitive psychology, and education and connects these literatures to intervention practices. Commercially available math intervention programs were identified and evaluated using the following questions: (a) Did neuroscience…

Towards a synergy framework across neuroscience and robotics: Lessons learned and open questions. Reply to comments on: "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands"

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Santello, Marco; Bianchi, Matteo; Gabiccini, Marco; Ricciardi, Emiliano; Salvietti, Gionata; Prattichizzo, Domenico; Ernst, Marc; Moscatelli, Alessandro; Jorntell, Henrik; Kappers, Astrid M. L.; Kyriakopoulos, Kostas; Schaeffer, Alin Abu; Castellini, Claudio; Bicchi, Antonio

2016-07-01

We would like to thank all commentators for their insightful commentaries. Thanks to their diverse and complementary expertise in neuroscience and robotics, the commentators have provided us with the opportunity to further discuss state-of-the-art and gaps in the integration of neuroscience and robotics reviewed in our article. We organized our reply in two sections that capture the main points of all commentaries [1-9]: (1) Advantages and limitations of the synergy approach in neuroscience and robotics, and (2) Learning and role of sensory feedback in biological and robotics synergies.

Model-based cognitive neuroscience: a conceptual introduction

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Forstmann, B.U.; Wagenmakers, E.-J.; Forstmann, B.U.; Wagenmakers, E.-J.

2015-01-01

This tutorial chapter shows how the separate fields of mathematical psychology and cognitive neuroscience can interact to their mutual benefit. Historically, the field of mathematical psychology is mostly concerned with formal theories of behavior, whereas cognitive neuroscience is mostly concerned

Four Social Neuroscience On-Going Requisites for Effective Collaborative Learning and the Altruistic Turn

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Murphey, Tim

2016-01-01

Understandings from the field of social neuroscience can help educators cultivate collaborative students who get excited about learning from one another. To facilitate a collaborative atmosphere, educators first need to be able to show concern for their students beyond the subject matter. They also can help students understand how being social…

Does Neuroscience Matter for Education?

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Schrag, Francis

2011-01-01

In this review essay, Francis Schrag focuses on two recent anthologies dealing completely or in part with the role of neuroscience in learning and education: The "Jossey-Bass Reader on the Brain and Learning", edited by Jossey-Bass Publishers, and "New Philosophies of Learning", edited by Ruth Cigman and Andrew Davis. Schrag argues that…

Where Evolutionary Psychology Meets Cognitive Neuroscience: A Précis to Evolutionary Cognitive Neuroscience1

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Austen L. Krill

2007-01-01

Full Text Available Cognitive neuroscience, the study of brain-behavior relationships, has long attempted to map the brain. The discipline is flourishing, with an increasing number of functional neuroimaging studies appearing in the scientific literature daily. Unlike biology and even psychology, the cognitive neurosciences have only recently begun to apply evolutionary meta-theory and methodological guidance. Approaching cognitive neuroscience from an evolutionary perspective allows scientists to apply biologically based theoretical guidance to their investigations and can be conducted in both humans and nonhuman animals. In fact, several investigations of this sort are underway in laboratories around the world. This paper and two new volumes (Platek, Keenan, and Shackelford [Eds.], 2007; Platek and Shackelford [Eds.], under contract represent the first formal attempts to document the burgeoning field of evolutionary cognitive neuroscience. Here, we briefly review the current state of the science of evolutionary cognitive neuroscience, the methods available to the evolutionary cognitive neuroscientist, and what we foresee as the future directions of the discipline.

Promoting a Dialogue between Neuroscience and Education

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Turner, David A.

2011-01-01

There have been a number of calls for a 'dialogue' between neuroscience and education. However, 'dialogue' implies an equal conversation between partners. The outcome of collaboration between neuroscientists and educators not normally expected to be so balanced. Educationists are expected to learn from neuroscience how to conduct research with…

Mysteries of hypnosis and the self are revealed by the psychology and neuroscience of empathy.

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Wickramasekera, Ian E

2015-01-01

This article reviews a growing body of research and theory in hypnosis and neuroscience that supports the empathic involvement theory (EIT) of hypnosis (Wickramasekera II, 2001; Wickramasekera II & Szlyk, 2003; Wickramasekera II, 2007c). The EIT is a unified transpersonal theory of hypnosis and the self, which weaves together empathic elements of Dzogchen, neodissociative, neuroscience, psychoanalytic, sociocognitive, and other theories by proposing that hypnotic phenomena are inherently characterized by their deep involvement with processes of empathy and the self. The EIT proposes that the experience of hypnosis is embodied in a system of neural networks in the brain that utilizes empathy-related processes, adaptive resonance between perceptual input and top-down expectancies, and connectionist learning algorithms to (a) empathically enact the affect, cognition, body language, response expectancies, social roles, sensations, etc. that are presented to them during hypnosis in accordance with socio-cognitive theories of hypnosis; (b) engage in a convergent psychophysiological relationship with another person in accordance with psychoanalytic, Ericksonian, and polyvagal/social engagement system theories; (c) alter the empathic self/other (theory of mind) coding of phenomenological experiences during hypnosis in accordance with aspects of the neo-dissociative and socio-cognitive traditions; and (d) develop an experiential understanding of the illusion of self that may lead, in some people, to its transcendence in accordance with Bon-Buddhist, Dzogchen, and transpersonal scholars. A unified definition of hypnosis is proposed based on findings in the empathic neuroscience of hypnosis as well as a working model of the neuromatrix of the self.

Three Requirements for Justifying an Educational Neuroscience

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Hruby, George G.

2012-01-01

Background: Over the past quarter century, efforts to bridge between research in the neurosciences and research, theory, and practice in education have grown from a mere hope to noteworthy scholarly sophistication. Many dedicated educational researchers have developed the secondary expertise in the necessary neurosciences and related fields to…

[Neurosciences and philosophy of mind].

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Saal, Aarón

2005-01-01

In this paper we argue that the interaction between neurosciences and philosophy of the mind is on the way to understand consciousness, and to solve the mind-body or mind-brain problem. Naturalism is the view that mental processes are just brain processes and that consciousness is a natural phenomenon. It is possible to construct a theory about its nature by blending insights from neuroscience, philosophy of the mind, phenomenology, psychology and evolutionary biology.

The promise of educational neuroscience: Comment on Bowers (2016).

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Gabrieli, John D E

2016-10-01

Bowers (2016) argues that there are practical and principled problems with how educational neuroscience may contribute to education, including lack of direct influences on teaching in the classroom. Some of the arguments made are convincing, including the critique of unsubstantiated claims about the impact of educational neuroscience and the reminder that the primary outcomes of education are behavioral, such as skill in reading or mathematics. Bowers' analysis falls short in 3 major respects. First, educational neuroscience is a basic science that has made unique contributions to basic education research; it is not part of applied classroom instruction. Second, educational neuroscience contributes to ideas about education practices and policies beyond classroom curriculum that are important for helping vulnerable students. Third, educational neuroscience studies using neuroimaging have not only revealed for the first time the brain basis of neurodevelopmental differences that have profound influences on educational outcomes, but have also identified individual brain differences that predict which students learn more or learn less from various curricula. In several cases, the brain measures significantly improved or vastly outperformed conventional behavioral measures in predicting what works for individual children. These findings indicate that educational neuroscience, at a minimum, has provided novel insights into the possibilities of individualized education for students, rather than the current practice of learning through failure that a curriculum did not support a student. In the best approach to improving education, educational neuroscience ought to contribute to basic research addressing the needs of students and teachers. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Three requirements for justifying an educational neuroscience.

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Hruby, George G

2012-03-01

Over the past quarter century, efforts to bridge between research in the neurosciences and research, theory, and practice in education have grown from a mere hope to noteworthy scholarly sophistication. Many dedicated educational researchers have developed the secondary expertise in the necessary neurosciences and related fields to generate both empirical research and theoretical syntheses of noteworthy promise. Nonetheless, thoughtful and critical scholars in education have expressed concern about both the intellectual coherence and ethical dangers of this new area. It is still an open question whether educational neuroscience is for some time yet to remain only a formative study area for adventurous scholars or is already a fully fledged field of educational scholarship. In this paper, I suggest that to be a worthy field of educational research, educational neuroscience will need to address three issues: intellectual coherence, mutually informing and respected scholarly expertise, and an ethical commitment to the moral implications and obligations shared within educational research generally. I shall set forth some examples of lapses in this regard, focusing primarily on work on reading development, as that is my area of expertise, and make recommendations for due diligence. Arguments. First, intellectual coherence requires both precision in definition of technical terms (so that diverse scholars and professionals may communicate findings and insights consistently across fields), and precision in the logical warrants by which educational implications are drawn from empirical data from the neurosciences. Both needs are facilitated by careful attention to categorical boundary and avoidance of category error. Second, educational neuroscientists require focused and broad expertise in both the neurosciences and educational scholarship on teaching and learning in classrooms (and/or ancillary fields). If history is our guide, neuroscience implications for practice will

The Neuropsychoanalytic Approach: Using Neuroscience as the Basic Science of Psychoanalysis.

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Johnson, Brian; Flores Mosri, Daniela

2016-01-01

Neuroscience was the basic science behind Freud's psychoanalytic theory and technique. He worked as a neurologist for 20 years before being aware that a new approach to understand complex diseases, namely the hysterias, was needed. Solms coined the term neuropsychoanalysis to affirm that neuroscience still belongs in psychoanalysis. The neuropsychoanalytic field has continued Freud's original ideas as stated in 1895. Developments in psychoanalysis that have been created or revised by the neuropsychoanalysis movement include pain/relatedness/opioids, drive, structural model, dreams, cathexis, and dynamic unconscious. Neuroscience has contributed to the development of new psychoanalytic theory, such as Bazan's (2011) description of anxiety driven by unconscious intentions or "phantoms." Results of adopting the "dual aspect monism" approach of idiographic psychoanalytic clinical observation combined with nomothetic investigation of related human phenomena include clarification and revision of theory, restoration of the scientific base of psychoanalysis, and improvement of clinical treatments. By imbricating psychoanalytic thinking with neuroscience, psychoanalysts are also positioned to make contributions to neuroscience research. Freud's original Project for a Scientific Psychology/Psychology for Neurologists can be carried forward in a way that moves psychoanalysis into the twenty-first century as a core contemporary science (Kandel, 1999). Neuroscience as the basic science of psychoanalysis both improves the field, and enhances its scientific and cultural status.

Learning Theory Foundations of Simulation-Based Mastery Learning.

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McGaghie, William C; Harris, Ilene B

2018-06-01

Simulation-based mastery learning (SBML), like all education interventions, has learning theory foundations. Recognition and comprehension of SBML learning theory foundations are essential for thoughtful education program development, research, and scholarship. We begin with a description of SBML followed by a section on the importance of learning theory foundations to shape and direct SBML education and research. We then discuss three principal learning theory conceptual frameworks that are associated with SBML-behavioral, constructivist, social cognitive-and their contributions to SBML thought and practice. We then discuss how the three learning theory frameworks converge in the course of planning, conducting, and evaluating SBML education programs in the health professions. Convergence of these learning theory frameworks is illustrated by a description of an SBML education and research program in advanced cardiac life support. We conclude with a brief coda.

Cognitive Neuroscience and Mathematics Learning: How Far Have We Come? Where Do We Need to Go?

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Ansari, Daniel; Lyons, Ian M.

2016-01-01

In this commentary on the ZDM special issue: "Cognitive neuroscience and mathematics learning--revisited after 5 years," we explore the progress that has been made since ZDM published a similar special issue in 2010. We consider the extent to which future frontiers and methodological concerns raised in the commentary on the 2010 issue by…

The Neuropsychoanalytic Approach: Using Neuroscience as the Basic Science of Psychoanalysis

Science.gov (United States)

Johnson, Brian; Flores Mosri, Daniela

2016-01-01

Neuroscience was the basic science behind Freud's psychoanalytic theory and technique. He worked as a neurologist for 20 years before being aware that a new approach to understand complex diseases, namely the hysterias, was needed. Solms coined the term neuropsychoanalysis to affirm that neuroscience still belongs in psychoanalysis. The neuropsychoanalytic field has continued Freud's original ideas as stated in 1895. Developments in psychoanalysis that have been created or revised by the neuropsychoanalysis movement include pain/relatedness/opioids, drive, structural model, dreams, cathexis, and dynamic unconscious. Neuroscience has contributed to the development of new psychoanalytic theory, such as Bazan's (2011) description of anxiety driven by unconscious intentions or “phantoms.” Results of adopting the “dual aspect monism” approach of idiographic psychoanalytic clinical observation combined with nomothetic investigation of related human phenomena include clarification and revision of theory, restoration of the scientific base of psychoanalysis, and improvement of clinical treatments. By imbricating psychoanalytic thinking with neuroscience, psychoanalysts are also positioned to make contributions to neuroscience research. Freud's original Project for a Scientific Psychology/Psychology for Neurologists can be carried forward in a way that moves psychoanalysis into the twenty-first century as a core contemporary science (Kandel, 1999). Neuroscience as the basic science of psychoanalysis both improves the field, and enhances its scientific and cultural status. PMID:27790160

What is important in transdisciplinary pain neuroscience education? A qualitative study.

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Wijma, Amarins J; Speksnijder, Caroline M; Crom-Ottens, Astrid F; Knulst-Verlaan, J M Corine; Keizer, Doeke; Nijs, Jo; van Wilgen, C Paul

2017-05-19

The main focus of Pain Neuroscience Education is around changing patients' pain perceptions and minimizing further medical care. Even though Pain Neuroscience Education has been studied extensively, the experiences of patients regarding the Pain Neuroscience Education process remain to be explored. Therefore, the aim of this study was to explore the experiences in patients with non-specific chronic pain. Fifteen patients with non-specific chronic pain from a transdisciplinary treatment centre were in-depth interviewed. Data collection and analysis were performed according to Grounded Theory. Five interacting topics emerged: (1) "the pre-Pain Neuroscience Education phase", involving the primary needs to provide Pain Neuroscience Education, with subthemes containing (a) "a broad intake" and (b) "the healthcare professionals"; (2) "a comprehensible Pain Neuroscience Education" containing (a) "understandable explanation" and (b) "interaction between the physiotherapist and psychologist"; (3) "outcomes of Pain Neuroscience Education" including (a) "awareness", b) "finding peace of mind", and (c) "fewer symptoms"; 4) "scepticism" containing (a) "doubt towards the diagnosis and Pain Neuroscience Education", (b) "disagreement with the diagnosis and Pain Neuroscience Education", and (c) "Pain Neuroscience Education can be confronting". This is the first study providing insight into the constructs contributing to the Pain Neuroscience Education experience of patients with non-specific chronic pain. The results reveal the importance of the therapeutic alliance between the patient and caregiver, taking time, listening, providing a clear explanation, and the possible outcomes when doing so. The findings from this study can be used to facilitate healthcare professionals in providing Pain Neuroscience Education to patients with non-specific chronic pain. Implications for Rehabilitation An extensive biopsychosocial patient centred intake is crucial prior to providing Pain

Neurosciences

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... this page: //medlineplus.gov/ency/article/007456.htm Neurosciences To use the sharing features on this page, please enable JavaScript. Neurosciences (or clinical neurosciences) refers to the branch of ...

Prospect theory on the brain? Toward a cognitive neuroscience of decision under risk.

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Trepel, Christopher; Fox, Craig R; Poldrack, Russell A

2005-04-01

Most decisions must be made without advance knowledge of their consequences. Economists and psychologists have devoted much attention to modeling decisions made under conditions of risk in which options can be characterized by a known probability distribution over possible outcomes. The descriptive shortcomings of classical economic models motivated the development of prospect theory (D. Kahneman, A. Tversky, Prospect theory: An analysis of decision under risk. Econometrica, 4 (1979) 263-291; A. Tversky, D. Kahneman, Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5 (4) (1992) 297-323) the most successful behavioral model of decision under risk. In the prospect theory, subjective value is modeled by a value function that is concave for gains, convex for losses, and steeper for losses than for gains; the impact of probabilities are characterized by a weighting function that overweights low probabilities and underweights moderate to high probabilities. We outline the possible neural bases of the components of prospect theory, surveying evidence from human imaging, lesion, and neuropharmacology studies as well as animal neurophysiology studies. These results provide preliminary suggestions concerning the neural bases of prospect theory that include a broad set of brain regions and neuromodulatory systems. These data suggest that focused studies of decision making in the context of quantitative models may provide substantial leverage towards a fuller understanding of the cognitive neuroscience of decision making.

The Neuroscience of Improvisation

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Landau, Andrew T.; Limb, Charles J.

2017-01-01

Current research in the neuroscience of musical creativity reveals promising implications for the value of learning to improvise. This article outlines the neuroscientific literature on musical improvisation and relates these findings to the benefits of musical creativity. We begin by describing the neural substrates of flow with respect to the…

Can Neuroscience Contribute to Practical Ethics? A Critical Review and Discussion of the Methodological and Translational Challenges of the Neuroscience of Ethics.

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Racine, Eric; Dubljević, Veljko; Jox, Ralf J; Baertschi, Bernard; Christensen, Julia F; Farisco, Michele; Jotterand, Fabrice; Kahane, Guy; Müller, Sabine

2017-06-01

Neuroethics is an interdisciplinary field that arose in response to novel ethical challenges posed by advances in neuroscience. Historically, neuroethics has provided an opportunity to synergize different disciplines, notably proposing a two-way dialogue between an 'ethics of neuroscience' and a 'neuroscience of ethics'. However, questions surface as to whether a 'neuroscience of ethics' is a useful and unified branch of research and whether it can actually inform or lead to theoretical insights and transferable practical knowledge to help resolve ethical questions. In this article, we examine why the neuroscience of ethics is a promising area of research and summarize what we have learned so far regarding its most promising goals and contributions. We then review some of the key methodological challenges which may have hindered the use of results generated thus far by the neuroscience of ethics. Strategies are suggested to address these challenges and improve the quality of research and increase neuroscience's usefulness for applied ethics and society at large. Finally, we reflect on potential outcomes of a neuroscience of ethics and discuss the different strategies that could be used to support knowledge transfer to help different stakeholders integrate knowledge from the neuroscience of ethics. © 2017 John Wiley & Sons Ltd.

Dynasting Theory: Lessons in learning grounded theory

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Johnben Teik-Cheok Loy, MBA, MTS, Ph.D.

2011-06-01

Full Text Available This article captures the key learning lessons gleaned from the author’s experience learning and developing a grounded theory for his doctoral dissertation using the classic methodology as conceived by Barney Glaser. The theory was developed through data gathered on founders and successors of Malaysian Chinese family-own businesses. The main concern for Malaysian Chinese family businesses emerged as dynasting . the building, maintaining, and growing the power and resources of the business within the family lineage. The core category emerged as dynasting across cultures, where founders and successors struggle to transition from traditional Chinese to hybrid cultural and modernized forms of family business from one generation to the next. The key learning lessons were categorized under five headings: (a sorting through different versions of grounded theory, (b educating and managing research stakeholders, (c embracing experiential learning, (d discovering the core category: grounded intuition, and (e recognizing limitations and possibilities.Keywords: grounded theory, learning, dynasting, family business, Chinese

Contributions of Neuroscience to Develop Teaching Strategies and Learning of Mathematics

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Eddy Mogollón

2010-12-01

Full Text Available The goal of the present work is to develop some strategies based on research in neurosciences that contribute to the teaching and learning of mathematics. The interrelationship of education with the brain, as well as the relationship of cerebral structures with mathematical thinking was discussed. Strategies were developed taking into consideration levels that include cognitive, semiotic, language, affect and the overcoming of phobias to the subject. The fundamental conclusion was the imperative educational requirement in the near future of a new teacher, whose pedagogic formation must include the knowledge on the cerebral function, its structures and its implications to education, as well as a change in pedagogy and curricular structure in the teaching of mathematics.

Constructivism, the so-called semantic learning theories, and situated cognition versus the psychological learning theories.

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Aparicio, Juan José; Rodríguez Moneo, María

2005-11-01

In this paper, the perspective of situated cognition, which gave rise both to the pragmatic theories and the so-called semantic theories of learning and has probably become the most representative standpoint of constructivism, is examined. We consider the claim of situated cognition to provide alternative explanations of the learning phenomenon to those of psychology and, especially, to those of the symbolic perspective, currently predominant in cognitive psychology. The level of analysis of situated cognition (i.e., global interactive systems) is considered an inappropriate approach to the problem of learning. From our analysis, it is concluded that the pragmatic theories and the so-called semantic theories of learning which originated in situated cognition can hardly be considered alternatives to the psychological learning theories, and they are unlikely to add anything of interest to the learning theory or to contribute to the improvement of our knowledge about the learning phenomenon.

Learning Theories In Instructional Multimedia For English Learning

OpenAIRE

Farani, Rizki

2016-01-01

Learning theory is the concept of human learning. This concept is one of the important components in instructional for learning, especially English learning. English subject becomes one of important subjects for students but learning English needs specific strategy since it is not our vernacular. Considering human learning process in English learning is expected to increase students' motivation to understand English better. Nowadays, the application of learning theories in English learning ha...

Psychologic theories in functional neurologic disorders.

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Carson, A; Ludwig, L; Welch, K

2016-01-01

In this chapter we review key psychologic theories that have been mooted as possible explanations for the etiology of functional neurologic symptoms, conversion disorder, and hysteria. We cover Freudian psychoanalysis and later object relations and attachment theories, social theories, illness behavior, classic and operant conditioning, social learning theory, self-regulation theory, cognitive-behavioral theories, and mindfulness. Dissociation and modern cognitive neuroscience theories are covered in other chapters in this series and, although of central importance, are omitted from this chapter. Our aim is an overview with the emphasis on breadth of coverage rather than depth. © 2016 Elsevier B.V. All rights reserved.

Using personality neuroscience to study personality disorder.

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Abram, Samantha V; DeYoung, Colin G

2017-01-01

Personality neuroscience integrates techniques from personality psychology and neuroscience to elucidate the neural basis of individual differences in cognition, emotion, motivation, and behavior. This endeavor is pertinent not only to our understanding of healthy personality variation, but also to the aberrant trait manifestations present in personality disorders and severe psychopathology. In the current review, we focus on the advances and limitations of neuroimaging methods with respect to personality neuroscience. We discuss the value of personality theory as a means to link specific neural mechanisms with various traits (e.g., the neural basis of the "Big Five"). Given the overlap between dimensional models of normal personality and psychopathology, we also describe how researchers can reconceptualize psychopathological disorders along key dimensions, and, in turn, formulate specific neural hypotheses, extended from personality theory. Examples from the borderline personality disorder literature are used to illustrate this approach. We provide recommendations for utilizing neuroimaging methods to capture the neural mechanisms that underlie continuous traits across the spectrum from healthy to maladaptive. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

A Model for Bridging the Gap between Neuroscience and Education

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Tommerdahl, Jodi

2010-01-01

As the brain sciences make advances in our understanding of how the human brain functions, many educators are looking to findings from the neurosciences to inform classroom teaching methodologies. This paper takes the view that the neurosciences are an excellent source of knowledge regarding learning processes, but also provides a warning…

Learned helplessness at fifty: Insights from neuroscience.

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Maier, Steven F; Seligman, Martin E P

2016-07-01

Learned helplessness, the failure to escape shock induced by uncontrollable aversive events, was discovered half a century ago. Seligman and Maier (1967) theorized that animals learned that outcomes were independent of their responses-that nothing they did mattered-and that this learning undermined trying to escape. The mechanism of learned helplessness is now very well-charted biologically, and the original theory got it backward. Passivity in response to shock is not learned. It is the default, unlearned response to prolonged aversive events and it is mediated by the serotonergic activity of the dorsal raphe nucleus, which in turn inhibits escape. This passivity can be overcome by learning control, with the activity of the medial prefrontal cortex, which subserves the detection of control leading to the automatic inhibition of the dorsal raphe nucleus. So animals learn that they can control aversive events, but the passive failure to learn to escape is an unlearned reaction to prolonged aversive stimulation. In addition, alterations of the ventromedial prefrontal cortex-dorsal raphe pathway can come to subserve the expectation of control. We speculate that default passivity and the compensating detection and expectation of control may have substantial implications for how to treat depression. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Theory and method at the intersection of anthropology and cultural neuroscience

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Brown, Ryan A.

2010-01-01

Anthropologists have become increasingly interested in embodiment—that is, the ways that socio-cultural factors influence the form, behavior and subjective experience of human bodies. At the same time, social cognitive neuroscience has begun to reveal the mechanisms of embodiment by investigating the neural underpinnings and consequences of social experience. Despite this overlap, the two fields have barely engaged one another. We suggest three interconnected domains of inquiry in which the intersection of neuroscience and anthropology can productively inform our understanding of the relationship between human brains and their socio-cultural contexts. These are: the social construction of emotion, cultural psychiatry, and the embodiment of ritual. We build on both current research findings in cultural neuroscience and ethnographic data on cultural differences in thought and behavior, to generate novel, ecologically informed hypotheses for future study. In addition, we lay out a specific suggestion for operationalizing insights from anthropology in the context of cultural neuroscience research. Specifically, we advocate the development of field studies that use portable measurement technologies to connect individual patterns of biological response with socio-cultural processes. We illustrate the potential of such an approach with data from a study of psychophysiology and religious devotion in Northeastern Brazil. PMID:19965815

The Emerging Neuroscience of Intrinsic Motivation: A New Frontier in Self-Determination Research

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Di Domenico, Stefano I.; Ryan, Richard M.

2017-01-01

Intrinsic motivation refers to people’s spontaneous tendencies to be curious and interested, to seek out challenges and to exercise and develop their skills and knowledge, even in the absence of operationally separable rewards. Over the past four decades, experimental and field research guided by self-determination theory (SDT; Ryan and Deci, 2017) has found intrinsic motivation to predict enhanced learning, performance, creativity, optimal development and psychological wellness. Only recently, however, have studies begun to examine the neurobiological substrates of intrinsic motivation. In the present article, we trace the history of intrinsic motivation research, compare and contrast intrinsic motivation to closely related topics (flow, curiosity, trait plasticity), link intrinsic motivation to key findings in the comparative affective neurosciences, and review burgeoning neuroscience research on intrinsic motivation. We review converging evidence suggesting that intrinsically motivated exploratory and mastery behaviors are phylogenetically ancient tendencies that are subserved by dopaminergic systems. Studies also suggest that intrinsic motivation is associated with patterns of activity across large-scale neural networks, namely, those that support salience detection, attentional control and self-referential cognition. We suggest novel research directions and offer recommendations for the application of neuroscience methods in the study of intrinsic motivation. PMID:28392765

The Emerging Neuroscience of Intrinsic Motivation: A New Frontier in Self-Determination Research.

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Di Domenico, Stefano I; Ryan, Richard M

2017-01-01

Intrinsic motivation refers to people's spontaneous tendencies to be curious and interested, to seek out challenges and to exercise and develop their skills and knowledge, even in the absence of operationally separable rewards. Over the past four decades, experimental and field research guided by self-determination theory (SDT; Ryan and Deci, 2017) has found intrinsic motivation to predict enhanced learning, performance, creativity, optimal development and psychological wellness. Only recently, however, have studies begun to examine the neurobiological substrates of intrinsic motivation. In the present article, we trace the history of intrinsic motivation research, compare and contrast intrinsic motivation to closely related topics (flow, curiosity, trait plasticity), link intrinsic motivation to key findings in the comparative affective neurosciences, and review burgeoning neuroscience research on intrinsic motivation. We review converging evidence suggesting that intrinsically motivated exploratory and mastery behaviors are phylogenetically ancient tendencies that are subserved by dopaminergic systems. Studies also suggest that intrinsic motivation is associated with patterns of activity across large-scale neural networks, namely, those that support salience detection, attentional control and self-referential cognition. We suggest novel research directions and offer recommendations for the application of neuroscience methods in the study of intrinsic motivation.

[Neuroethics as the neuroscience of ethics].

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Álvarez-Díaz, Jorge Alberto

2013-10-16

The neurosciences have developed at a stunningly fast rate. Key points accounting for this progression include the introduction of functional neuroimaging techniques and the boost resulting from the Decade of the Brain project. This expansion has also allowed new disciplines such as neuroethics to appear. Those who have worked on neuroethics can be divided into three groups (neuroreductionists, neurosceptics and neurocritics), and each group has its own standpoint as regards what neuroethics is, with several scopes and limitations in their proposals. Neuroethics is a discipline that, prior to the year 2002, was understood only as an ethics of neuroscience (a branch of bioethics). As of that date, however, it is also understood as a neuroscience of ethics (a new discipline). Neuroreductionism proposes that all ethical life has a basis in the brain that determines ethical actions; neuroscepticism holds that neuroscience cannot be considered a normative function; and neurocriticism considers that the neuroscientific advances cannot be ignored and must be taken into account in some way in order to draw up ethical theories.

Meeting the Challenge of Instructor Shortages: A Blended Teaching and Learning Model for a Neuroscience Course in a Doctor of Physical Therapy Program.

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Ge, Weiqing

2018-01-01

Physical therapy workforce shortages are expected to increase for all 50 states through 2030. There is a recognized nationwide unprecedented shortage of well-prepared physical therapy instructors. One practical solution can be to share instructors among Doctor of Physical Therapy (DPT) programs using a blended teaching and learning model. The purpose of this project was to evaluate the effectiveness of a blended teaching and learning model for a neuroscience course in a DPT program. Faculty members from two DPT programs collaborated to develop, implement, and evaluate a blended teaching and learning model. The Blackboard Learning Management System (LMS) was available at both institutions and chosen as the learning platform. The design of this research study was retrospective nonexperimental observational. The overall feedback from the students was positive. Most students (91.6%) strongly agreed or agreed that the content of the course was appropriate for learning neuroscience. The students taking this blended course performed slightly better than the students taking the traditional course, though there was no significant difference (p=0.06). The results support the use of a blended teaching and learning model to meet faculty shortage challenges. Future research with a larger sample size is necessary.

Brain-(Not) Based Education: Dangers of Misunderstanding and Misapplication of Neuroscience Research

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Alferink, Larry A.; Farmer-Dougan, Valeri

2010-01-01

Oversimplification or inappropriate interpretation of complex neuroscience research is widespread among curricula claiming that brain-based approaches are effective for improved learning and retention. We examine recent curricula claiming to be based on neuroscience research, discuss the implications of such misinterpretation for special…

Chinese Learning Through Internet Inspired by Contructivist Learning Theory

OpenAIRE

Yan, Huang

2011-01-01

With the changing concept of education, there is growing emphasis on “student-centered”principle. This is one of the characteristics of Constructivist learning theory. On network teachingChinese, Constructivist learning theory is indispensable. This article is the design of online Chineseteaching which is basic on the Constructivist learning theory.

Neuroscience, Education and Mental Health

Science.gov (United States)

Arboccó de los Heros, Manuel

2016-01-01

The following article presents a series of investigations, reflections, and quotes about neuroscience, education, and psychology. Each area is specialized in some matters but at some point they share territory and mutually benefit one another, and help us to increasingly understand the complex world of learning, the brain, and human behavior. We…

The function of mirror neurons in the learning process

OpenAIRE

Mara Daniel

2017-01-01

In the last years, Neurosciences have developed very much, being elaborated many important theories scientific research in the field. The main goal of neuroscience is to understand how groups of neurons interact to create the behavior. Neuroscientists studying the action of molecules, genes and cells. It also explores the complex interactions involved in motion perception, thoughts, emotions and learning. Brick fundamental nervous system is the nerve cell, neuron. Neurons exchange information...

Infusing Neuroscience into Teacher Professional Development

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Dubinsky, Janet M.; Roehrig, Gillian; Varma, Sashank

2013-01-01

Bruer advocated connecting neuroscience and education indirectly through the intermediate discipline of psychology. We argue for a parallel route: The neurobiology of learning, and in particular the core concept of "plasticity," have the potential to directly transform teacher preparation and professional development, and ultimately to…

Some ideas for learning CP-theories

OpenAIRE

Fierens, Daan

2008-01-01

Causal Probabilistic logic (CP-logic) is a language for describing complex probabilistic processes. In this talk we consider the problem of learning CP-theories from data. We briefly discuss three possible approaches. First, we review the existing algorithm by Meert et al. Second, we show how simple CP-theories can be learned by using the learning algorithm for Logical Bayesian Networks and converting the result into a CP-theory. Third, we argue that for learning more complex CP-theories, an ...

Optimal Learning in Schools--Theoretical Evidence: Part 2 Updating Piaget

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Crossland, John

2017-01-01

Part 1 in this four-part series of articles discussed Piaget's theories of learning and development (Crossland, 2016). Part 2 explores how post-Piagetian researchers have addressed criticisms of Piaget's theories by linking recent evidence including that from neuroscience. The outcomes show that good teachers make a difference by implementing…

Investigating the Learning-Theory Foundations of Game-Based Learning: A Meta-Analysis

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Wu, W-H.; Hsiao, H-C.; Wu, P-L.; Lin, C-H.; Huang, S-H.

2012-01-01

Past studies on the issue of learning-theory foundations in game-based learning stressed the importance of establishing learning-theory foundation and provided an exploratory examination of established learning theories. However, we found research seldom addressed the development of the use or failure to use learning-theory foundations and…

The neuroscience of social decision-making.

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Rilling, James K; Sanfey, Alan G

2011-01-01

Given that we live in highly complex social environments, many of our most important decisions are made in the context of social interactions. Simple but sophisticated tasks from a branch of experimental economics known as game theory have been used to study social decision-making in the laboratory setting, and a variety of neuroscience methods have been used to probe the underlying neural systems. This approach is informing our knowledge of the neural mechanisms that support decisions about trust, reciprocity, altruism, fairness, revenge, social punishment, social norm conformity, social learning, and competition. Neural systems involved in reward and reinforcement, pain and punishment, mentalizing, delaying gratification, and emotion regulation are commonly recruited for social decisions. This review also highlights the role of the prefrontal cortex in prudent social decision-making, at least when social environments are relatively stable. In addition, recent progress has been made in understanding the neural bases of individual variation in social decision-making.

Building a functional neurocognitive theory of the multiple intelligences anatomical framework

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Carlo eCerruti

2013-12-01

Full Text Available A key goal of educational neuroscience is to conduct constrained experimental research that is theory-driven and yet also clearly related to educators’ complex set of questions and concerns. However, the fields of education, cognitive psychology and neuroscience use different levels of description to characterize human ability. An important advance in research in educational neuroscience would be the identification of a cognitive and neurocognitive framework at a level of description relatively intuitive to educators. I argue that the theory of multiple intelligences (Gardner, 1983, a conception of the mind that motivated a past generation of teachers, may provide such an opportunity. I criticize MI for doing little to clarify for teachers a core misunderstanding, specifically that MI was only an anatomical map of the mind but not a functional theory that detailed how the mind actually processes information. In an attempt to build a functional MI theory, I integrate into MI basic principles of cognitive and neural functioning, namely interregional neural facilitation and inhibition. In so doing I hope to forge a path towards constrained experimental research that bears upon teachers’ concerns about teaching and learning.

Learning theory and gestalt therapy.

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Harper, R; Bauer, R; Kannarkat, J

1976-01-01

This article discusses the theory and operations of Gestalt Therapy from the viewpoint of learning theory. General comparative issues are elaborated as well as the concepts of introjection, retroflextion, confluence, and projection. Principles and techniques of Gestalt Therapy are discussed in terms of learning theory paradigm. Practical implications of the various Gestalt techniques are presented.

New techniques in systems neuroscience

CERN Document Server

2015-01-01

This volume is essential reading for anyone wishing to understand the recent explosion of experimental tools in neuroscience that now make it possible to manipulate, record, and understand neuronal activity within the intact brain, and which are helping us to learn how the many neurons that comprise a network act together to control behavior. Leaders in the field discuss the latest developments in optogenetics, functional imaging, circuit mapping, and the application of these tools to complex biological problems. New Techniques in Systems Neuroscience Explores cutting-edge methodological developments and their biological motivations Covers state-of-the-art advances in optogenetics, imaging, circuit mapping, and the molecular characterization of individual neurons Describes key examples of how these methods have been applied in different model organisms Is appropriate for experts and those just entering the field alike.

Computational psychiatry as a bridge from neuroscience to clinical applications.

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Huys, Quentin J M; Maia, Tiago V; Frank, Michael J

2016-03-01

Translating advances in neuroscience into benefits for patients with mental illness presents enormous challenges because it involves both the most complex organ, the brain, and its interaction with a similarly complex environment. Dealing with such complexities demands powerful techniques. Computational psychiatry combines multiple levels and types of computation with multiple types of data in an effort to improve understanding, prediction and treatment of mental illness. Computational psychiatry, broadly defined, encompasses two complementary approaches: data driven and theory driven. Data-driven approaches apply machine-learning methods to high-dimensional data to improve classification of disease, predict treatment outcomes or improve treatment selection. These approaches are generally agnostic as to the underlying mechanisms. Theory-driven approaches, in contrast, use models that instantiate prior knowledge of, or explicit hypotheses about, such mechanisms, possibly at multiple levels of analysis and abstraction. We review recent advances in both approaches, with an emphasis on clinical applications, and highlight the utility of combining them.

The social neuroscience and the theory of integrative levels.

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Bello-Morales, Raquel; Delgado-García, José María

2015-01-01

The theory of integrative levels provides a general description of the evolution of matter through successive orders of complexity and integration. Along its development, material forms pass through different levels of organization, such as physical, chemical, biological or sociological. The appearance of novel structures and dynamics during this process of development of matter in complex systems has been called emergence. Social neuroscience (SN), an interdisciplinary field that aims to investigate the biological mechanisms that underlie social structures, processes, and behavior and the influences between social and biological levels of organization, has affirmed the necessity for including social context as an essential element to understand the human behavior. To do this, SN proposes a multilevel integrative approach by means of three principles: multiple determinism, nonadditive determinism and reciprocal determinism. These theoretical principles seem to share the basic tenets of the theory of integrative levels but, in this paper, we aim to reveal the differences among both doctrines. First, SN asserts that combination of neural and social variables can produce emergent phenomena that would not be predictable from a neuroscientific or social psychological analysis alone; SN also suggests that to achieve a complete understanding of social structures we should use an integrative analysis that encompasses levels of organization ranging from the genetic level to the social one; finally, SN establishes that there can be mutual influences between biological and social factors in determining behavior, accepting, therefore, a double influence, upward from biology to social level, and downward, from social level to biology. In contrast, following the theory of integrative levels, emergent phenomena are not produced by the combination of variables from two levels, but by the increment of complexity at one level. In addition, the social behavior and structures might be

The social neuroscience and the theory of integrative levels

Directory of Open Access Journals (Sweden)

Raquel eBello-Morales

2015-10-01

Full Text Available The theory of integrative levels provides a general description of the evolution of matter through successive orders of complexity and integration. Along its development, material forms pass through different levels of organization, such as physical, chemical, biological or sociological. The appearance of novel structures and dynamics during this process of development of matter in complex systems has been called emergence. Social neuroscience (SN, an interdisciplinary field that aims to investigate the biological mechanisms that underlie social structures, processes, and behavior and the influences between social and biological levels of organization, has affirmed the necessity for including social context as an essential element to understand the human behavior. To do this, SN proposes a multilevel integrative approach by means of three principles: multiple determinism, nonadditive determinism and reciprocal determinism. These theoretical principles seem to share the basic tenets of the theory of integrative levels but, in this paper, we aim to reveal the differences among both doctrines.First, SN asserts that combination of neural and social variables can produce emergent phenomena that would not be predictable from a neuroscientific or social psychological analysis alone; SN also suggests that to achieve a complete understanding of social structures we should use an integrative analysis that encompasses levels of organization ranging from the genetic level to the social one; finally, SN establishes that there can be mutual influences between biological and social factors in determining behavior, accepting, therefore, a double influence, upward from biology to social level, and downward, from social level to biology.In contrast, following the theory of integrative levels, emergent phenomena are not produced by the combination of variables from two levels, but by the increment of complexity at one level. In addition, the social behavior and

Dynamical principles in neuroscience

International Nuclear Information System (INIS)

Rabinovich, Mikhail I.; Varona, Pablo; Selverston, Allen I.; Abarbanel, Henry D. I.

2006-01-01

Dynamical modeling of neural systems and brain functions has a history of success over the last half century. This includes, for example, the explanation and prediction of some features of neural rhythmic behaviors. Many interesting dynamical models of learning and memory based on physiological experiments have been suggested over the last two decades. Dynamical models even of consciousness now exist. Usually these models and results are based on traditional approaches and paradigms of nonlinear dynamics including dynamical chaos. Neural systems are, however, an unusual subject for nonlinear dynamics for several reasons: (i) Even the simplest neural network, with only a few neurons and synaptic connections, has an enormous number of variables and control parameters. These make neural systems adaptive and flexible, and are critical to their biological function. (ii) In contrast to traditional physical systems described by well-known basic principles, first principles governing the dynamics of neural systems are unknown. (iii) Many different neural systems exhibit similar dynamics despite having different architectures and different levels of complexity. (iv) The network architecture and connection strengths are usually not known in detail and therefore the dynamical analysis must, in some sense, be probabilistic. (v) Since nervous systems are able to organize behavior based on sensory inputs, the dynamical modeling of these systems has to explain the transformation of temporal information into combinatorial or combinatorial-temporal codes, and vice versa, for memory and recognition. In this review these problems are discussed in the context of addressing the stimulating questions: What can neuroscience learn from nonlinear dynamics, and what can nonlinear dynamics learn from neuroscience?

Dynamical principles in neuroscience

Science.gov (United States)

Rabinovich, Mikhail I.; Varona, Pablo; Selverston, Allen I.; Abarbanel, Henry D. I.

2006-10-01

Dynamical modeling of neural systems and brain functions has a history of success over the last half century. This includes, for example, the explanation and prediction of some features of neural rhythmic behaviors. Many interesting dynamical models of learning and memory based on physiological experiments have been suggested over the last two decades. Dynamical models even of consciousness now exist. Usually these models and results are based on traditional approaches and paradigms of nonlinear dynamics including dynamical chaos. Neural systems are, however, an unusual subject for nonlinear dynamics for several reasons: (i) Even the simplest neural network, with only a few neurons and synaptic connections, has an enormous number of variables and control parameters. These make neural systems adaptive and flexible, and are critical to their biological function. (ii) In contrast to traditional physical systems described by well-known basic principles, first principles governing the dynamics of neural systems are unknown. (iii) Many different neural systems exhibit similar dynamics despite having different architectures and different levels of complexity. (iv) The network architecture and connection strengths are usually not known in detail and therefore the dynamical analysis must, in some sense, be probabilistic. (v) Since nervous systems are able to organize behavior based on sensory inputs, the dynamical modeling of these systems has to explain the transformation of temporal information into combinatorial or combinatorial-temporal codes, and vice versa, for memory and recognition. In this review these problems are discussed in the context of addressing the stimulating questions: What can neuroscience learn from nonlinear dynamics, and what can nonlinear dynamics learn from neuroscience?

Neuroscience, Education and Metal Health

Directory of Open Access Journals (Sweden)

Manuel Arboccó de los Heros

2016-04-01

Full Text Available The following article presents a series of investigations, reflections, and quotes about neuroscience, education, and psychology. Each area is specialized in some matters but at some point they share territory and mutually benefit one another, and help us to increasingly understand the complex world of learning, the brain, and human behavior. We hope them to be of interest and a promoter of new thoughts.

Neuroscience and education: an ideal partnership for producing evidence-based solutions to Guide 21(st) Century Learning.

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Carew, Thomas J; Magsamen, Susan H

2010-09-09

Neuro-Education is a nascent discipline that seeks to blend the collective fields of neuroscience, psychology, cognitive science, and education to create a better understanding of how we learn and how this information can be used to create more effective teaching methods, curricula, and educational policy. Though still in its infancy as a research discipline, this initiative is already opening critical new dialog between teachers, administrators, parents, and brain scientists. 2010 Elsevier Inc. All rights reserved.

An Elementary Introduction to Statistical Learning Theory

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Kulkarni, Sanjeev

2011-01-01

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and

Intentional Excellence in the Baldwin Wallace University Neuroscience Program

Science.gov (United States)

Morris, Jacqueline K.; Peppers, Kieth; Mickley, G. Andrew

2015-01-01

The Society for Neuroscience recognized Baldwin Wallace University’s (BWU) undergraduate Neuroscience program as their Program of the Year for 2012. This award acknowledged the “accomplishments of a neuroscience department or program for excellence in educating neuroscientists and providing innovative models to which other programs can aspire.” The Neuroscience program grew out of students interested in studying the biological basis of behavior. BWU’s neuroscience major is research-intensive, and all students are required to produce an empirically-based senior thesis. This requirement challenges program resources, and the demand for faculty attention is high. Thus, we developed an intentional 3-step peer mentoring system that encourages our students to collaborate with and learn from, not only faculty, but each other. Peer mentoring occurs in the curriculum, faculty research labs, and as students complete their senior theses. As the program has grown with over 80 current majors, we have developed a new Neuroscience Methods course to train students on the safety, ethics, and practice of research in the neuroscience laboratory space. Students in this course leave with the skills and knowledge to assist senior level students with their theses and to begin the process of developing their own projects in the laboratory. Further, our students indicate that their “peer mentorship was excellent,” “helped them gain confidence,” and “allowed them to be more successful in their research.” PMID:26240522

Attitudes toward neuroscience education in psychiatry: a national multi-stakeholder survey.

Science.gov (United States)

Fung, Lawrence K; Akil, Mayada; Widge, Alik; Roberts, Laura Weiss; Etkin, Amit

2015-04-01

The objective of this study is to assess the attitudes of chairs of psychiatry departments, psychiatrists, and psychiatry trainees toward neuroscience education in residency programs and beyond in order to inform future neuroscience education approaches. This multi-stakeholder survey captured data on demographics, self-assessments of neuroscience knowledge, attitudes toward neuroscience education, preferences in learning modalities, and interests in specific neuroscience topics. In 2012, the authors distributed the surveys: by paper to 133 US psychiatry department chairs and electronically through the American Psychiatric Association to 3,563 of its members (1,000 psychiatrists and 2,563 trainees). The response rates for the chair, psychiatrist, and trainee surveys were 53, 9, and 18 %, respectively. A large majority of respondents agreed with the need for more neuroscience education in general and with respect to their own training. Most respondents believed that neuroscience will help destigmatize mental illness and begin producing new treatments or personalized medicines in 5-10 years. Only a small proportion of trainees and psychiatrists, however, reported a strong knowledge base in neuroscience. Respondents also reported broad enthusiasm for transdiagnostic topics in neuroscience (such as emotion regulation and attention/cognition) and description at the level of neural circuits. This study demonstrates the opportunity and enthusiasm for teaching more neuroscience in psychiatry among a broad range of stakeholder groups. A high level of interest was also found for transdiagnostic topics and approaches. We suggest that a transdiagnostic framework may be an effective way to deliver neuroscience education to the psychiatric community and illustrate this through a case example, drawing the similarity between this neuroscience approach and problem-based formulations familiar to clinicians.

Experiential learning: transforming theory into practice.

Science.gov (United States)

Yardley, Sarah; Teunissen, Pim W; Dornan, Tim

2012-01-01

Whilst much is debated about the importance of experiential learning in curriculum development, the concept only becomes effective if it is applied in an appropriate way. We believe that this effectiveness is directly related to a sound understanding of the theory, supporting the learning. The purpose of this article is to introduce readers to the theories underpinning experiential learning, which are then expanded further in an AMEE Guide, which considers the theoretical basis of experiential learning from a social learning, constructionist perspective and applies it to three stages of medical education: early workplace experience, clerkships and residency. This article argues for the importance and relevance of experiential learning and addresses questions that are commonly asked about it. First, we answer the questions 'what is experiential learning?' and 'how does it relate to social learning theory?' to orientate readers to the principles on which our arguments are based. Then, we consider why those ideas (theories) are relevant to educators--ranging from those with responsibilities for curriculum design to 'hands-on' teachers and workplace supervisors. The remainder of this article discusses how experiential learning theories and a socio-cultural perspective can be applied in practice. We hope that this will give readers a taste for our more detailed AMEE Guide and the further reading recommended at the end of it.

The Neuroscience of Growth Mindset and Intrinsic Motivation.

Science.gov (United States)

Ng, Betsy

2018-01-26

Our actions can be triggered by intentions, incentives or intrinsic values. Recent neuroscientific research has yielded some results about the growth mindset and intrinsic motivation. With the advances in neuroscience and motivational studies, there is a global need to utilize this information to inform educational practice and research. Yet, little is known about the neuroscientific interplay between growth mindset and intrinsic motivation. This paper attempts to draw on the theories of growth mindset and intrinsic motivation, together with contemporary ideas in neuroscience, outline the potential for neuroscientific research in education. It aims to shed light on the relationship between growth mindset and intrinsic motivation in terms of supporting a growth mindset to facilitate intrinsic motivation through neural responses. Recent empirical research from the educational neuroscience perspective that provides insights into the interplay between growth mindset and intrinsic motivation will also be discussed.

Learning theories application in nursing education

Science.gov (United States)

Aliakbari, Fatemeh; Parvin, Neda; Heidari, Mohammad; Haghani, Fariba

2015-01-01

Learning theories are the main guide for educational systems planning in the classroom and clinical training included in nursing. The teachers by knowing the general principles of these theories can use their knowledge more effectively according to various learning situations. In this study, Eric, Medline, and Cochrane databases were used for articles in English and for the Persian literature, Magiran, Iran doc, Iran medex, and Sid databases were used with the help of keywords including social cognitive learning, learning theory, behavioral theory, cognitive theory, constructive theory, and nursing education. The search period was considered from 1990 to 2012. Some related books were also studied about each method, its original vision, the founders, practical application of the training theory, especially training of nursing and its strengths and weaknesses. Behaviorists believe that learning is a change in an observable behavior and it happens when the communication occurs between the two events, a stimulus and a response. Among the applications of this approach is the influence on the learner's emotional reactions. Among the theories of this approach, Thorndike and Skinner works are subject to review and critique. Cognitive psychologists unlike the behaviorists believe that learning is an internal process objective and they focus on thinking, understanding, organizing, and consciousness. Fundamentalists believe that learners should be equipped with the skills of inquiry and problem solving in order to learn by the discovery and process of information. Among this group, we will pay attention to analyze Wertheimer, Brunner, Ausubel theories, Ganyeh information processing model, in addition to its applications in nursing education. Humanists in learning pay attention to the feelings and experiences. Carl Rogers support the retention of learning-centered approach and he is believed to a semantic continuum. At the other end of the continuum, experiential learning is

Learning theories application in nursing education.

Science.gov (United States)

Aliakbari, Fatemeh; Parvin, Neda; Heidari, Mohammad; Haghani, Fariba

2015-01-01

Learning theories are the main guide for educational systems planning in the classroom and clinical training included in nursing. The teachers by knowing the general principles of these theories can use their knowledge more effectively according to various learning situations. In this study, Eric, Medline, and Cochrane databases were used for articles in English and for the Persian literature, Magiran, Iran doc, Iran medex, and Sid databases were used with the help of keywords including social cognitive learning, learning theory, behavioral theory, cognitive theory, constructive theory, and nursing education. The search period was considered from 1990 to 2012. Some related books were also studied about each method, its original vision, the founders, practical application of the training theory, especially training of nursing and its strengths and weaknesses. Behaviorists believe that learning is a change in an observable behavior and it happens when the communication occurs between the two events, a stimulus and a response. Among the applications of this approach is the influence on the learner's emotional reactions. Among the theories of this approach, Thorndike and Skinner works are subject to review and critique. Cognitive psychologists unlike the behaviorists believe that learning is an internal process objective and they focus on thinking, understanding, organizing, and consciousness. Fundamentalists believe that learners should be equipped with the skills of inquiry and problem solving in order to learn by the discovery and process of information. Among this group, we will pay attention to analyze Wertheimer, Brunner, Ausubel theories, Ganyeh information processing model, in addition to its applications in nursing education. Humanists in learning pay attention to the feelings and experiences. Carl Rogers support the retention of learning-centered approach and he is believed to a semantic continuum. At the other end of the continuum, experiential learning is

Virk: An Active Learning-based System for Bootstrapping Knowledge Base Development in the Neurosciences

Directory of Open Access Journals (Sweden)

Kyle H. Ambert

2013-12-01

Full Text Available The frequency and volume of newly-published scientific literature is quickly making manual maintenance of publicly-available databases of primary data unrealistic and costly. Although machine learning can be useful for developing automated approaches to identifying scientific publications containing relevant information for a database, developing such tools necessitates manually annotating an unrealistic number of documents. One approach to this problem, active learning, builds classification models by iteratively identifying documents that provide the most information to a classifier. Although this approach has been shown to be effective for related problems, in the context of scientific databases curation, it falls short. We present Virk, an active learning system that, while being trained, simultaneously learns a classification model and identifies documents having information of interest for a knowledge base. Our approach uses a support vector machine classifier with input features derived from neuroscience-related publications from the primary literature. Using our approach, we were able to increase the size of the Neuron Registry, a knowledge base of neuron-related information, by a factor of 90%, a knowledge base of neuron-related information, in 3 months. Using standard biocuration methods, it would have taken between 1-2 years to make the same number of contributions to the Neuron Registry. Here, we describe the system pipeline in detail, and evaluate its performance against other approaches to sampling in active learning.

Contemplative Neuroscience as an Approach to Volitional Consciousness

Science.gov (United States)

Thompson, Evan

This chapter presents a methodological approach to volitional consciousness for cognitive neuroscience based on studying the voluntary self-generation and self-regulation of mental states in meditation. Called contemplative neuroscience, this approach views attention, awareness, and emotion regulation as flexible and trainable skills, and works with experimental participants who have undergone training in contemplative practices designed to hone these skills. Drawing from research on the dynamical neural correlates of contemplative mental states and theories of large-scale neural coordination dynamics, I argue for the importance of global system causation in brain activity and present an "interventionist" approach to intentional causation.

An Algebra-Based Introductory Computational Neuroscience Course with Lab.

Science.gov (United States)

Fink, Christian G

2017-01-01

A course in computational neuroscience has been developed at Ohio Wesleyan University which requires no previous experience with calculus or computer programming, and which exposes students to theoretical models of neural information processing and techniques for analyzing neural data. The exploration of theoretical models of neural processes is conducted in the classroom portion of the course, while data analysis techniques are covered in lab. Students learn to program in MATLAB and are offered the opportunity to conclude the course with a final project in which they explore a topic of their choice within computational neuroscience. Results from a questionnaire administered at the beginning and end of the course indicate significant gains in student facility with core concepts in computational neuroscience, as well as with analysis techniques applied to neural data.

Where neuroscience and dynamic system theory meet autonomous robotics: a contracting basal ganglia model for action selection.

Science.gov (United States)

Girard, B; Tabareau, N; Pham, Q C; Berthoz, A; Slotine, J-J

2008-05-01

Action selection, the problem of choosing what to do next, is central to any autonomous agent architecture. We use here a multi-disciplinary approach at the convergence of neuroscience, dynamical system theory and autonomous robotics, in order to propose an efficient action selection mechanism based on a new model of the basal ganglia. We first describe new developments of contraction theory regarding locally projected dynamical systems. We exploit these results to design a stable computational model of the cortico-baso-thalamo-cortical loops. Based on recent anatomical data, we include usually neglected neural projections, which participate in performing accurate selection. Finally, the efficiency of this model as an autonomous robot action selection mechanism is assessed in a standard survival task. The model exhibits valuable dithering avoidance and energy-saving properties, when compared with a simple if-then-else decision rule.

Consideration on Singularities in Learning Theory and the Learning Coefficient

Directory of Open Access Journals (Sweden)

Miki Aoyagi

2013-09-01

Full Text Available We consider the learning coefficients in learning theory and give two new methods for obtaining these coefficients in a homogeneous case: a method for finding a deepest singular point and a method to add variables. In application to Vandermonde matrix-type singularities, we show that these methods are effective. The learning coefficient of the generalization error in Bayesian estimation serves to measure the learning efficiency in singular learning models. Mathematically, the learning coefficient corresponds to a real log canonical threshold of singularities for the Kullback functions (relative entropy in learning theory.

Progress in Application of the Neurosciences to an Understanding of Human Learning: The Challenge of Finding a Middle-Ground Neuroeducational Theory

Science.gov (United States)

Anderson, O. Roger

2014-01-01

Modern neuroscientific research has substantially enhanced our understanding of the human brain. However, many challenges remain in developing a strong, brain-based theory of human learning, especially in complex environments such as educational settings. Some of the current issues and challenges in our progress toward developing comprehensive…

The Neuroscience of Growth Mindset and Intrinsic Motivation

Directory of Open Access Journals (Sweden)

Betsy Ng

2018-01-01

Full Text Available Our actions can be triggered by intentions, incentives or intrinsic values. Recent neuroscientific research has yielded some results about the growth mindset and intrinsic motivation. With the advances in neuroscience and motivational studies, there is a global need to utilize this information to inform educational practice and research. Yet, little is known about the neuroscientific interplay between growth mindset and intrinsic motivation. This paper attempts to draw on the theories of growth mindset and intrinsic motivation, together with contemporary ideas in neuroscience, outline the potential for neuroscientific research in education. It aims to shed light on the relationship between growth mindset and intrinsic motivation in terms of supporting a growth mindset to facilitate intrinsic motivation through neural responses. Recent empirical research from the educational neuroscience perspective that provides insights into the interplay between growth mindset and intrinsic motivation will also be discussed.

The Human Brain and Information Science: Lessons from Popular Neuroscience

Directory of Open Access Journals (Sweden)

Paul Sturges

2013-06-01

Full Text Available Insights from the recent wealth of popular books on neuroscience are offered to suggest a strengthening of theory in information science. Information theory has traditionally neglected the human dimension in favour of 'scientific' theory often derived from the Shannon-Weaver model. Neuroscientists argue in excitingly fresh ways from the evidence of case studies, non-intrusive experimentation and the measurements that can be obtained from technologies that include electroencephalography, positron emission tomography (PET, functional magnetic resonance imaging (fMRI, and magnetoencephalography (MEG. The way in which the findings of neuroscience intersect with ideas such as those of Kahneman on fast and slow thinking and Csikszentmihalyi on flow, is tentatively explored as lines of connection with information science. It is argued that the beginnings of a theoretical underpinning for current web-based information searching in relation to established information retrieval methods can be drawn from this.

The Retention of Tacit Knowledge in Higher Learning Administration

Science.gov (United States)

Muniz, Andrew Everardo

2013-01-01

Higher education institutions (HEIs) could be among organizations without effective programs for preserving tacit knowledge (TK) when knowledge workers retire, quit, take a leave of absence, or are terminated. The theoretical underpinnings of this study were neuroscience related to brain learning physiology, transformational leadership theory,…

The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience

Science.gov (United States)

Akil, Huda; Ascoli, Giorgio A.; Bowden, Douglas M.; Bug, William; Donohue, Duncan E.; Goldberg, David H.; Grafstein, Bernice; Grethe, Jeffrey S.; Gupta, Amarnath; Halavi, Maryam; Kennedy, David N.; Marenco, Luis; Martone, Maryann E.; Miller, Perry L.; Müller, Hans-Michael; Robert, Adrian; Shepherd, Gordon M.; Sternberg, Paul W.; Van Essen, David C.; Williams, Robert W.

2009-01-01

With support from the Institutes and Centers forming the NIH Blueprint for Neuroscience Research, we have designed and implemented a new initiative for integrating access to and use of Web-based neuroscience resources: the Neuroscience Information Framework. The Framework arises from the expressed need of the neuroscience community for neuroinformatic tools and resources to aid scientific inquiry, builds upon prior development of neuroinformatics by the Human Brain Project and others, and directly derives from the Society for Neuroscience’s Neuroscience Database Gateway. Partnered with the Society, its Neuroinformatics Committee, and volunteer consultant-collaborators, our multi-site consortium has developed: (1) a comprehensive, dynamic, inventory of Web-accessible neuroscience resources, (2) an extended and integrated terminology describing resources and contents, and (3) a framework accepting and aiding concept-based queries. Evolving instantiations of the Framework may be viewed at http://nif.nih.gov, http://neurogateway.org, and other sites as they come on line. PMID:18946742

Dispelling the Myth: Training in Education or Neuroscience Decreases but Does Not Eliminate Beliefs in Neuromyths.

Science.gov (United States)

Macdonald, Kelly; Germine, Laura; Anderson, Alida; Christodoulou, Joanna; McGrath, Lauren M

2017-01-01

Neuromyths are misconceptions about brain research and its application to education and learning. Previous research has shown that these myths may be quite pervasive among educators, but less is known about how these rates compare to the general public or to individuals who have more exposure to neuroscience. This study is the first to use a large sample from the United States to compare the prevalence and predictors of neuromyths among educators, the general public, and individuals with high neuroscience exposure. Neuromyth survey responses and demographics were gathered via an online survey hosted at TestMyBrain.org. We compared performance among the three groups of interest: educators ( N = 598), high neuroscience exposure ( N = 234), and the general public ( N = 3,045) and analyzed predictors of individual differences in neuromyths performance. In an exploratory factor analysis, we found that a core group of 7 "classic" neuromyths factored together (items related to learning styles, dyslexia, the Mozart effect, the impact of sugar on attention, right-brain/left-brain learners, and using 10% of the brain). The general public endorsed the greatest number of neuromyths ( M = 68%), with significantly fewer endorsed by educators ( M = 56%), and still fewer endorsed by the high neuroscience exposure group ( M = 46%). The two most commonly endorsed neuromyths across all groups were related to learning styles and dyslexia. More accurate performance on neuromyths was predicted by age (being younger), education (having a graduate degree), exposure to neuroscience courses, and exposure to peer-reviewed science. These findings suggest that training in education and neuroscience can help reduce but does not eliminate belief in neuromyths. We discuss the possible underlying roots of the most prevalent neuromyths and implications for classroom practice. These empirical results can be useful for developing comprehensive training modules for educators that target general

Dispelling the Myth: Training in Education or Neuroscience Decreases but Does Not Eliminate Beliefs in Neuromyths

Directory of Open Access Journals (Sweden)

Kelly Macdonald

2017-08-01

Full Text Available Neuromyths are misconceptions about brain research and its application to education and learning. Previous research has shown that these myths may be quite pervasive among educators, but less is known about how these rates compare to the general public or to individuals who have more exposure to neuroscience. This study is the first to use a large sample from the United States to compare the prevalence and predictors of neuromyths among educators, the general public, and individuals with high neuroscience exposure. Neuromyth survey responses and demographics were gathered via an online survey hosted at TestMyBrain.org. We compared performance among the three groups of interest: educators (N = 598, high neuroscience exposure (N = 234, and the general public (N = 3,045 and analyzed predictors of individual differences in neuromyths performance. In an exploratory factor analysis, we found that a core group of 7 “classic” neuromyths factored together (items related to learning styles, dyslexia, the Mozart effect, the impact of sugar on attention, right-brain/left-brain learners, and using 10% of the brain. The general public endorsed the greatest number of neuromyths (M = 68%, with significantly fewer endorsed by educators (M = 56%, and still fewer endorsed by the high neuroscience exposure group (M = 46%. The two most commonly endorsed neuromyths across all groups were related to learning styles and dyslexia. More accurate performance on neuromyths was predicted by age (being younger, education (having a graduate degree, exposure to neuroscience courses, and exposure to peer-reviewed science. These findings suggest that training in education and neuroscience can help reduce but does not eliminate belief in neuromyths. We discuss the possible underlying roots of the most prevalent neuromyths and implications for classroom practice. These empirical results can be useful for developing comprehensive training modules for educators that target

Dispelling the Myth: Training in Education or Neuroscience Decreases but Does Not Eliminate Beliefs in Neuromyths

Science.gov (United States)

Macdonald, Kelly; Germine, Laura; Anderson, Alida; Christodoulou, Joanna; McGrath, Lauren M.

2017-01-01

Neuromyths are misconceptions about brain research and its application to education and learning. Previous research has shown that these myths may be quite pervasive among educators, but less is known about how these rates compare to the general public or to individuals who have more exposure to neuroscience. This study is the first to use a large sample from the United States to compare the prevalence and predictors of neuromyths among educators, the general public, and individuals with high neuroscience exposure. Neuromyth survey responses and demographics were gathered via an online survey hosted at TestMyBrain.org. We compared performance among the three groups of interest: educators (N = 598), high neuroscience exposure (N = 234), and the general public (N = 3,045) and analyzed predictors of individual differences in neuromyths performance. In an exploratory factor analysis, we found that a core group of 7 “classic” neuromyths factored together (items related to learning styles, dyslexia, the Mozart effect, the impact of sugar on attention, right-brain/left-brain learners, and using 10% of the brain). The general public endorsed the greatest number of neuromyths (M = 68%), with significantly fewer endorsed by educators (M = 56%), and still fewer endorsed by the high neuroscience exposure group (M = 46%). The two most commonly endorsed neuromyths across all groups were related to learning styles and dyslexia. More accurate performance on neuromyths was predicted by age (being younger), education (having a graduate degree), exposure to neuroscience courses, and exposure to peer-reviewed science. These findings suggest that training in education and neuroscience can help reduce but does not eliminate belief in neuromyths. We discuss the possible underlying roots of the most prevalent neuromyths and implications for classroom practice. These empirical results can be useful for developing comprehensive training modules for educators that target general

The sign learning theory

African Journals Online (AJOL)

KING OF DAWN

The sign learning theory also holds secrets that could be exploited in accomplishing motor tasks. ... Introduction ... In his classic work: Cognitive Map in Rats and Men (1948),Tolman talked about five groups of experiments viz: latent learning ...

Optimising, generalising and integrating educational practice using neuroscience

Science.gov (United States)

Colvin, Robert

2016-07-01

Practical collaboration at the intersection of education and neuroscience research is difficult because the combined discipline encompasses both the activity of microscopic neurons and the complex social interactions of teachers and students in a classroom. Taking a pragmatic view, this paper discusses three education objectives to which neuroscience can be effectively applied: optimising, generalising and integrating instructional techniques. These objectives are characterised by: (1) being of practical importance; (2) building on existing education and cognitive research; and (3) being infeasible to address based on behavioural experiments alone. The focus of the neuroscientific aspect of collaborative research should be on the activity of the brain before, during and after learning a task, as opposed to performance of a task. The objectives are informed by literature that highlights possible pitfalls with educational neuroscience research, and are described with respect to the static and dynamic aspects of brain physiology that can be measured by current technology.

The principles and practices of educational neuroscience: Comment on Bowers (2016).

Science.gov (United States)

Howard-Jones, Paul A; Varma, Sashank; Ansari, Daniel; Butterworth, Brian; De Smedt, Bert; Goswami, Usha; Laurillard, Diana; Thomas, Michael S C

2016-10-01

In his recent critique of Educational Neuroscience, Bowers argues that neuroscience has no role to play in informing education, which he equates with classroom teaching. Neuroscience, he suggests, adds nothing to what we can learn from psychology. In this commentary, we argue that Bowers' assertions misrepresent the nature and aims of the work in this new field. We suggest that, by contrast, psychological and neural levels of explanation complement rather than compete with each other. Bowers' analysis also fails to include a role for educational expertise-a guiding principle of our new field. On this basis, we conclude that his critique is potentially misleading. We set out the well-documented goals of research in Educational Neuroscience, and show how, in collaboration with educators, significant progress has already been achieved, with the prospect of even greater progress in the future. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

A Dynamic Logic for Learning Theory

DEFF Research Database (Denmark)

Baltag, Alexandru; Gierasimczuk, Nina; Özgün, Aybüke

2017-01-01

Building on previous work that bridged Formal Learning Theory and Dynamic Epistemic Logic in a topological setting, we introduce a Dynamic Logic for Learning Theory (DLLT), extending Subset Space Logics with dynamic observation modalities, as well as with a learning operator, which encodes the le...... the learner’s conjecture after observing a finite sequence of data. We completely axiomatise DLLT, study its expressivity and use it to characterise various notions of knowledge, belief, and learning. ...

[The Biology of Learning].

Science.gov (United States)

Campo-Cabal, Gerardo

2012-01-01

The effort to relate mental and biological functioning has fluctuated between two doctrines: 1) an attempt to explain mental functioning as a collective property of the brain and 2) as one relatied to other mental processes associated with specific regions of the brain. The article reviews the main theories developed over the last 200 years: phrenology, the psuedo study of the brain, mass action, cellular connectionism and distributed processing among others. In addition, approaches have emerged in recent years that allows for an understanding of the biological determinants and individual differences in complex mental processes through what is called cognitive neuroscience. Knowing the definition of neuroscience, the learning of memory, the ways in which learning occurs, the principles of the neural basis of memory and learning and its effects on brain function, among other things, allows us the basic understanding of the processes of memory and learning and is an important requirement to address the best manner to commit to the of training future specialists in Psychiatry. Copyright © 2012 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

Constructivist learning theories and complex learning environments

NARCIS (Netherlands)

R-J. Simons; Dr. S. Bolhuis

2004-01-01

Learning theories broadly characterised as constructivist, agree on the importance to learning of the environment, but differ on what exactly it is that constitutes this importance. Accordingly, they also differ on the educational consequences to be drawn from the theoretical perspective. Cognitive

Effective Learning Environments in Relation to Different Learning Theories

NARCIS (Netherlands)

Guney, A.; Al, S.

2012-01-01

There are diverse learning theories which explain learning processes which are discussed within this paper, through cognitive structure of learning process. Learning environments are usually described in terms of pedagogical philosophy, curriculum design and social climate. There have been only just

Advanced Learning Theories Applied to Leadership Development

Science.gov (United States)

2006-11-01

Center for Army Leadership Technical Report 2006-2 Advanced Learning Theories Applied to Leadership Development Christina Curnow...2006 5a. CONTRACT NUMBER W91QF4-05-F-0026 5b. GRANT NUMBER 4. TITLE AND SUBTITLE Advanced Learning Theories Applied to Leadership Development 5c...ABSTRACT This report describes the development and implementation of an application of advanced learning theories to leadership development. A

An Online, Interactive Approach to Teaching Neuroscience to Adolescents

OpenAIRE

Miller, Leslie; Moreno, Janette; Willcockson, Irmgard; Smith, Donna; Mayes, Janice

2006-01-01

Most of today's students are skilled in instant messaging, Web browsing, online games, and blogs. These have become part of the social landscape and have changed how we learn and where we learn. The question becomes how to harness the attractiveness and ubiquity of electronic venues toward the goal of teaching neuroscience. At the Rice University Center for Technology in Teaching and Learning, a central focus is the creation of innovative materials that appeal to middle school students. A rec...

A survey of the neuroscience resource landscape: perspectives from the neuroscience information framework.

Science.gov (United States)

Cachat, Jonathan; Bandrowski, Anita; Grethe, Jeffery S; Gupta, Amarnath; Astakhov, Vadim; Imam, Fahim; Larson, Stephen D; Martone, Maryann E

2012-01-01

The number of available neuroscience resources (databases, tools, materials, and networks) available via the Web continues to expand, particularly in light of newly implemented data sharing policies required by funding agencies and journals. However, the nature of dense, multifaceted neuroscience data and the design of classic search engine systems make efficient, reliable, and relevant discovery of such resources a significant challenge. This challenge is especially pertinent for online databases, whose dynamic content is largely opaque to contemporary search engines. The Neuroscience Information Framework was initiated to address this problem of finding and utilizing neuroscience-relevant resources. Since its first production release in 2008, NIF has been surveying the resource landscape for the neurosciences, identifying relevant resources and working to make them easily discoverable by the neuroscience community. In this chapter, we provide a survey of the resource landscape for neuroscience: what types of resources are available, how many there are, what they contain, and most importantly, ways in which these resources can be utilized by the research community to advance neuroscience research. Copyright © 2012 Elsevier Inc. All rights reserved.

Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theory.

Science.gov (United States)

Gopnik, Alison; Wellman, Henry M

2012-11-01

We propose a new version of the "theory theory" grounded in the computational framework of probabilistic causal models and Bayesian learning. Probabilistic models allow a constructivist but rigorous and detailed approach to cognitive development. They also explain the learning of both more specific causal hypotheses and more abstract framework theories. We outline the new theoretical ideas, explain the computational framework in an intuitive and nontechnical way, and review an extensive but relatively recent body of empirical results that supports these ideas. These include new studies of the mechanisms of learning. Children infer causal structure from statistical information, through their own actions on the world and through observations of the actions of others. Studies demonstrate these learning mechanisms in children from 16 months to 4 years old and include research on causal statistical learning, informal experimentation through play, and imitation and informal pedagogy. They also include studies of the variability and progressive character of intuitive theory change, particularly theory of mind. These studies investigate both the physical and the psychological and social domains. We conclude with suggestions for further collaborative projects between developmental and computational cognitive scientists.

Chaos and Complexities Theories. Superposition and Standardized Testing: Are We Coming or Going?

Science.gov (United States)

Erwin, Susan

2005-01-01

The purpose of this paper is to explore the possibility of using the principle of "superposition of states" (commonly illustrated by Schrodinger's Cat experiment) to understand the process of using standardized testing to measure a student's learning. Comparisons from literature, neuroscience, and Schema Theory will be used to expound upon the…

Moral learning as intuitive theory revision.

Science.gov (United States)

Rhodes, Marjorie; Wellman, Henry

2017-10-01

We argue that moral learning, like much of conceptual development more generally, involves development and change in children's intuitive theories of the world. Children's intuitive theories involve coherent and abstract representations of the world, which point to domain-specific, unobservable causal-explanatory entities. From this perspective, children rely on intuitive sociological theories (in particular, an abstract expectation that group memberships constrain people's obligations), and their intuitive psychological theories (including expectations that mental states motivate individual behavior) to predict, explain, and evaluate morally-relevant action. Thus, moral learning involves development and change in each of these theories of the world across childhood, as well as developmental change in how children integrate information from these two intuitive theories. This perspective is supported by a series of research studies on young children's moral reasoning and learning, and compared to other developmental approaches, including more traditional forms of constructivism and more recent nativist perspectives. Copyright © 2016 Elsevier B.V. All rights reserved.

A learning theory account of depression.

Science.gov (United States)

Ramnerö, Jonas; Folke, Fredrik; Kanter, Jonathan W

2015-06-11

Learning theory provides a foundation for understanding and deriving treatment principles for impacting a spectrum of functional processes relevant to the construct of depression. While behavioral interventions have been commonplace in the cognitive behavioral tradition, most often conceptualized within a cognitive theoretical framework, recent years have seen renewed interest in more purely behavioral models. These modern learning theory accounts of depression focus on the interchange between behavior and the environment, mainly in terms of lack of reinforcement, extinction of instrumental behavior, and excesses of aversive control, and include a conceptualization of relevant cognitive and emotional variables. These positions, drawn from extensive basic and applied research, cohere with biological theories on reduced reward learning and reward responsiveness and views of depression as a heterogeneous, complex set of disorders. Treatment techniques based on learning theory, often labeled Behavioral Activation (BA) focus on activating the individual in directions that increase contact with potential reinforcers, as defined ideographically with the client. BA is considered an empirically well-established treatment that generalizes well across diverse contexts and populations. The learning theory account is discussed in terms of being a parsimonious model and ground for treatments highly suitable for large scale dissemination. © 2015 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Wavelets in neuroscience

CERN Document Server

Hramov, Alexander E; Makarov, Valeri A; Pavlov, Alexey N; Sitnikova, Evgenia

2015-01-01

This book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing in detail different practical applications of the wavelet theory in the areas of neurodynamics and neurophysiology and providing a review of fundamental work that has been carried out in these fields over the last decade. Chapters 1 and 2 introduce and review the relevant foundations of neurophysics and wavelet theory, respectively, pointing on one hand to the various current challenges in neuroscience and introducing on the other the mathematical techniques of the wavelet transform in its two variants (discrete and continuous) as a powerful and versatile tool for investigating the relevant neuronal dynamics. Chapter 3 then analyzes results from examining individual neuron dynamics and intracellular processes. The principles for recognizing neuronal spikes from extracellular recordings and the advantages of using wavelets to address these issues are described and combined with approaches based on wavelet neural ...

A Case Study in the Use of Primary Literature in the Context of Authentic Learning Pedagogy in the Undergraduate Neuroscience Classroom.

Science.gov (United States)

O'Keeffe, Gerard W; McCarthy, Marian M

2017-01-01

Providing opportunities for undergraduate science students to develop causal reasoning skills and the ability to think like research scientists is a crucial part of their preparation for professional practice as a scientist and/or a clinician. This has led many to question whether the traditional academic in-class lecture still has a functional role in today's undergraduate science education. Here, we performed a case study to attempt to maximize the use of in-class time to create a more authentic learning opportunity for undergraduate neuroscience students in our institution, the majority of whom go on to be research active scientists. We hypothesised that using seminal research papers as a teaching tool in a flipped classroom setting would model for neuroscience students what it means to think like a research scientist, would provide an opportunity for them to develop their causal reasoning skills and allow them to become more comfortable with the nature of professional practice (i.e., research) in the context of the discipline. We describe the design and implementation of this teaching approach to undergraduate final year neuroscience students, and evaluate their perception of it. We provide evidence that this approach models for the students what it means to reason like a research scientist, and discuss the implications of these findings for future practice. We propose that these findings will help add to the educational experience of all Neuroscience students whether they are on pre-med or on a research track.

An Integrated Neuroscience Perspective on Formulation and Treatment Planning for Posttraumatic Stress Disorder: An Educational Review.

Science.gov (United States)

Ross, David A; Arbuckle, Melissa R; Travis, Michael J; Dwyer, Jennifer B; van Schalkwyk, Gerrit I; Ressler, Kerry J

2017-04-01

Posttraumatic stress disorder (PTSD) is a common psychiatric illness, increasingly in the public spotlight in the United States due its prevalence in the soldiers returning from combat in Iraq and Afghanistan. This educational review presents a contemporary approach for how to incorporate a modern neuroscience perspective into an integrative case formulation. The article is organized around key neuroscience "themes" most relevant for PTSD. Within each theme, the article highlights how seemingly diverse biological, psychological, and social perspectives all intersect with our current understanding of neuroscience. Any contemporary neuroscience formulation of PTSD should include an understanding of fear conditioning, dysregulated circuits, memory reconsolidation, epigenetics, and genetic factors. Fear conditioning and other elements of basic learning theory offer a framework for understanding how traumatic events can lead to a range of behaviors associated with PTSD. A circuit dysregulation framework focuses more broadly on aberrant network connectivity, including between the prefrontal cortex and limbic structures. In the process of memory reconsolidation, it is now clear that every time a memory is reactivated it becomes momentarily labile-with implications for the genesis, maintenance, and treatment of PTSD. Epigenetic changes secondary to various experiences, especially early in life, can have long-term effects, including on the regulation of the hypothalamic-pituitary-adrenal axis, thereby affecting an individual's ability to regulate the stress response. Genetic factors are surprisingly relevant: PTSD has been shown to be highly heritable despite being definitionally linked to specific experiences. The relevance of each of these themes to current clinical practice and its potential to transform future care are discussed. Together, these perspectives contribute to an integrative, neuroscience-informed approach to case formulation and treatment planning. This may

Towards a Theory of Revealed Economic Behavior: The Economic-Neurosciences Interface

NARCIS (Netherlands)

Pennings, J.M.E.; Garcia, P.; Hendrix, E.M.T.

2005-01-01

Based on recent findings from economics and the neurosciences, we present a conceptual decision-making model that provides insight into human decision-making and illustrates how behavioral outcomes are transformed into phenomena. The model may be viewed as a bridge between the seemingly disparate

Adopting neuroscience : parenting and affective indeterminacy

OpenAIRE

MacKenzie, Adrian Bruce; Roberts, Celia Mary

2017-01-01

What happens when neuroscientific knowledges move from laboratories and clinics into therapeutic settings concerned with the care of children? ‘Brain-based parenting’ is a set of discourses and practices emerging at the confluence of attachment theory, neuroscience, psychotherapy and social work. The neuroscientific knowledges involved understand affective states such as fear, anger and intimacy as dynamic patterns of coordination between brain localities, as well as flows of biochemical sign...

The Scientific Status of Learning Styles Theories

Science.gov (United States)

Willingham, Daniel T.; Hughes, Elizabeth M.; Dobolyi, David G.

2015-01-01

Theories of learning styles suggest that individuals think and learn best in different ways. These are not differences of ability but rather preferences for processing certain types of information or for processing information in certain types of way. If accurate, learning styles theories could have important implications for instruction because…

The Activity Theory Approach to Learning

Directory of Open Access Journals (Sweden)

Ritva Engeström

2014-12-01

Full Text Available In this paper the author offers a practical view of the theory-grounded research on education action. She draws on studies carried out at the Center for Research on Activity, Development and Learning (CRADLE at the University of Helsinki in Finland. In its work, the Center draws on cultural-historical activity theory (CHAT and is well-known for the theory of Expansive Learning and its more practical application called Developmental Work Research (DWR. These approaches are widely used to understand professional learning and have served as a theoreticaland methodological foundation for studies examining change and professional development in various human activities.

Revisioning Fordham's 'Defences of the self' in light of modern relational theory and contemporary neuroscience.

Science.gov (United States)

Kalsched, Donald E

2015-09-01

This paper explores the evolution of Michael Fordham's ideas concerning 'defences of the self', including his application of this concept to a group of 'difficult' adult patients in his famous 1974 paper by the same name. After tracing the relevance of Fordham's ideas to my own discovery of a 'self-care system' in the psychological material of early trauma patients (Kalsched ), I describe how Fordham's seminal notions might be revisioned in light of contemporary relational theory as well as early attachment theory and affective neuroscience. These revisionings involve an awareness that the severe woundings of early unremembered trauma are not transformable through interpretation but will inevitably be repeated in the transference, leading to mutual 'enactments' between the analytic partners and, hopefully, to a new outcome. A clinical example of one such mutual enactment between the author and his patient is provided. The paper concludes with reflections on the clinical implications of this difficult case and what it means to become a 'real person' to our patients. Finally, Jung's alchemical views on transference are shown to be useful analogies in our understanding of the necessary mutuality in the healing process with these patients. © 2015, The Society of Analytical Psychology.

Learning network theory : its contribution to our understanding of work-based learning projects and learning climate

NARCIS (Netherlands)

Poell, R.F.; Moorsel, M.A.A.H. van

1996-01-01

This paper discusses the relevance of Van der Krogt's learning network theory (1995) for our understanding of the concepts of work-related learning projects and learning climate in organisations. The main assumptions of the learning network theory are presented and transferred to the level of

Learned-Helplessness Theory: Implications for Research in Learning Disabilities.

Science.gov (United States)

Canino, Frank J.

1981-01-01

The application of learned helplessness theory to achievement is discussed within the context of implications for research in learning disabilities. Finally, the similarities between helpless children and learning disabled students in terms of problems solving and attention are discussed. (Author)

Optimal Learning in Schools--Theoretical Evidence: Part 4 Metacognition

Science.gov (United States)

Crossland, John

2017-01-01

Parts 1 and 2 in this four-part series of articles (Crossland, 2016, 2017a) discussed the recent research from neuroscience linked to concepts from cognitive development that brought Piaget's theories into the 21st century and showed the most effective provision towards more optimal learning strategies. Part 2 reviewed Demetriou's latest thinking…

A Survey of Quantum Learning Theory

OpenAIRE

Arunachalam, Srinivasan; de Wolf, Ronald

2017-01-01

This paper surveys quantum learning theory: the theoretical aspects of machine learning using quantum computers. We describe the main results known for three models of learning: exact learning from membership queries, and Probably Approximately Correct (PAC) and agnostic learning from classical or quantum examples.

A Model For Teaching Advanced Neuroscience Methods: A Student-Run Seminar to Increase Practical Understanding and Confidence.

Science.gov (United States)

Harrison, Theresa M; Ching, Christopher R K; Andrews, Anne M

2016-01-01

Neuroscience doctoral students must master specific laboratory techniques and approaches to complete their thesis work (hands-on learning). Due to the highly interdisciplinary nature of the field, learning about a diverse range of methodologies through literature surveys and coursework is also necessary for student success (hands-off learning). Traditional neuroscience coursework stresses what is known about the nervous system with relatively little emphasis on the details of the methods used to obtain this knowledge. Furthermore, hands-off learning is made difficult by a lack of detail in methods sections of primary articles, subfield-specific jargon and vague experimental rationales. We designed a student-taught course to enable first-year neuroscience doctoral students to overcome difficulties in hands-off learning by introducing a new approach to reading and presenting primary research articles that focuses on methodology. In our literature-based course students were encouraged to present a method with which they had no previous experience. To facilitate weekly discussions, "experts" were invited to class sessions. Experts were advanced graduate students who had hands-on experience with the method being covered and served as discussion co-leaders. Self-evaluation worksheets were administered on the first and last days of the 10-week course and used to assess students' confidence in discussing research and methods outside of their primary research expertise. These evaluations revealed that the course significantly increased the students' confidence in reading, presenting and discussing a wide range of advanced neuroscience methods.

Empathy Examined From Perspectives of Neuroscience and Artistic Imagination.

Science.gov (United States)

Franklin, Michael A; Grossenbacher, Peter G

2016-01-01

This response to Ian E. Wickramasekera II's article, Mysteries of Hypnosis and the Self Are Revealed by the Psychology and Neuroscience of Empathy, is addressed from a joint perspective on consciousness comprising two related orientations: neuroscience and artistic imagination. We find that the central importance of empathy to empathic involvement theory (Wickramasekera II, 2015) reflects the pivotal nature of empathy in the brain and in the relational exchange implicit in the psychotherapeutic process, particularly when using art in therapy. We offer a preliminary unpacking of the roles related to key psychological processes, such as imagination, that are implicated in clinical uses of verbal and visual empathic resonance.

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

Science.gov (United States)

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

2017-06-01

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

Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications

Directory of Open Access Journals (Sweden)

Guoqi Qian

2016-01-01

Full Text Available Regression clustering is a mixture of unsupervised and supervised statistical learning and data mining method which is found in a wide range of applications including artificial intelligence and neuroscience. It performs unsupervised learning when it clusters the data according to their respective unobserved regression hyperplanes. The method also performs supervised learning when it fits regression hyperplanes to the corresponding data clusters. Applying regression clustering in practice requires means of determining the underlying number of clusters in the data, finding the cluster label of each data point, and estimating the regression coefficients of the model. In this paper, we review the estimation and selection issues in regression clustering with regard to the least squares and robust statistical methods. We also provide a model selection based technique to determine the number of regression clusters underlying the data. We further develop a computing procedure for regression clustering estimation and selection. Finally, simulation studies are presented for assessing the procedure, together with analyzing a real data set on RGB cell marking in neuroscience to illustrate and interpret the method.

Statistical Learning Theory: Models, Concepts, and Results

OpenAIRE

von Luxburg, Ulrike; Schoelkopf, Bernhard

2008-01-01

Statistical learning theory provides the theoretical basis for many of today's machine learning algorithms. In this article we attempt to give a gentle, non-technical overview over the key ideas and insights of statistical learning theory. We target at a broad audience, not necessarily machine learning researchers. This paper can serve as a starting point for people who want to get an overview on the field before diving into technical details.

Reconstructing Constructivism: Causal Models, Bayesian Learning Mechanisms, and the Theory Theory

Science.gov (United States)

Gopnik, Alison; Wellman, Henry M.

2012-01-01

We propose a new version of the "theory theory" grounded in the computational framework of probabilistic causal models and Bayesian learning. Probabilistic models allow a constructivist but rigorous and detailed approach to cognitive development. They also explain the learning of both more specific causal hypotheses and more abstract framework…

Dreaming of mathematical neuroscience for half a century.

Science.gov (United States)

Amari, Shun-ichi

2013-01-01

Theoreticians have been enchanted by the secrets of the brain for many years: how and why does it work so well? There has been a long history of searching for its mechanisms. Theoretical or even mathematical scientists have proposed various models of neural networks which has led to the birth of a new field of research. We can think of the 'pre-historic' period of Rashevski and Wiener, and then the period of perceptrons which is the beginning of learning machines, neurodynamics approaches, and further connectionist approaches. Now is currently the period of computational neuroscience. I have been working in this field for nearly half a century, and have experienced its repeated rise and fall. Now having reached very old age, I would like to state my own endeavors on establishing mathematical neuroscience for half a century, from a personal, even biased, point of view. It would be my pleasure if my experiences could encourage young researchers to participate in mathematical neuroscience. Copyright © 2012 Elsevier Ltd. All rights reserved.

Game Engagement Theory and Adult Learning

Science.gov (United States)

Whitton, Nicola

2011-01-01

One of the benefits of computer game-based learning is the ability of certain types of game to engage and motivate learners. However, theories of learning and engagement, particularly in the sphere of higher education, typically fail to consider gaming engagement theory. In this article, the author examines the principles of engagement from games…

Effective Learning Environments in Relation to Different Learning Theories

OpenAIRE

Guney, Ali; Al, Selda

2012-01-01

There are diverse learning theories which explain learning processes which are discussed within this paper, through cognitive structure of learning process. Learning environments are usually described in terms of pedagogical philosophy, curriculum design and social climate. There have been only just a few studies about how physical environment is related to learning process. Many researchers generally consider teaching and learning issues as if independent from physical environment, whereas p...

Learning network theory : its contribution to our understanding of work-based learning projects and learning climate

OpenAIRE

Poell, R.F.; Moorsel, M.A.A.H. van

1996-01-01

This paper discusses the relevance of Van der Krogt's learning network theory (1995) for our understanding of the concepts of work-related learning projects and learning climate in organisations. The main assumptions of the learning network theory are presented and transferred to the level of learning groups in organisations. Four theoretical types of learning projects are distinguished. Four different approaches to the learning climate of work groups are compared to the approach offered by t...

Advanced data analysis in neuroscience integrating statistical and computational models

CERN Document Server

Durstewitz, Daniel

2017-01-01

This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering.  Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanat ory frameworks, but become powerfu...

Brain literate: making neuroscience accessible to a wider audience of undergraduates.

Science.gov (United States)

Salomon, Danielle; Martin-Harris, Laurel; Mullen, Brian; Odegaard, Brian; Zvinyatskovskiy, Aleksey; Chandler, Scott H

2015-01-01

The ability to critically evaluate neuroscientific findings is a skill that is rapidly becoming important in non-science professions. As neuroscience research is increasingly being used in law, business, education, and politics, it becomes imperative to educate future leaders in all areas of society about the brain. Undergraduate general education courses are an ideal way to expose students to issues of critical importance, but non-science students may avoid taking a neuroscience course because of the perception that neuroscience is more challenging than other science courses. A recently developed general education cluster course at UCLA aims to make neuroscience more palatable to undergraduates by pairing neuroscientific concepts with philosophy and history, and by building a learning community that supports the development of core academic skills and intellectual growth over the course of a year. This study examined the extent to which the course was successful in delivering neuroscience education to a broader undergraduate community. The results indicate that a majority of students in the course mastered the basics of the discipline regardless of their major. Furthermore, 77% of the non-life science majors (approximately two-thirds of students in the course) indicated that they would not have taken an undergraduate neuroscience course if this one was not offered. The findings also demonstrate that the course helped students develop core academic skills and improved their ability to think critically about current events in neuroscience. Faculty reported that teaching the course was highly rewarding and did not require an inordinate amount of time.

The state of the art in organizational cognitive neuroscience: the therapeutic gap and possible implications for clinical practice.

Science.gov (United States)

Senior, Carl; Lee, Nick

2013-01-01

In the last decade, researchers in the social sciences have increasingly adopted neuroscientific techniques, with the consequent rise of research inspired by neuroscience in disciplines such as economics, marketing, decision sciences, and leadership. In 2007, we introduced the term organizational cognitive neuroscience (OCN), in an attempt to clearly demarcate research carried out in these many areas, and provide an overarching paradigm for research utilizing cognitive neuroscientific methods, theories, and concepts, within the organizational and business research fields. Here we will revisit and further refine the OCN paradigm, and define an approach where we feel the marriage of organizational theory and neuroscience will return even greater dividends in the future and that is within the field of clinical practice.

Optimal Learning in Schools--Theoretical Evidence: Part 3 Individual Differences

Science.gov (United States)

Crossland, John

2017-01-01

Parts 1 and 2 in this four-part series of articles (Crossland, 2016, 2017) discussed the recent research from neuroscience linked to concepts from cognitive development that brought Piaget's theories into the 21st century and showed the most effective provision towards more optimal learning strategies. Then the discussion moved onto Demetriou's…

"Thinking like a Neuroscientist": Using Scaffolded Grant Proposals to Foster Scientific Thinking in a Freshman Neuroscience Course.

Science.gov (United States)

Köver, Hania; Wirt, Stacey E; Owens, Melinda T; Dosmann, Andrew J

2014-01-01

Learning and practicing scientific inquiry is an essential component of a STEM education, but it is often difficult to teach to novices or those outside of a laboratory setting. To promote scientific thinking in a freshmen introductory neuroscience course without a lab component, we developed a series of learning activities and assignments designed to foster scientific thinking through the use of scientific grant proposals. Students wrote three short grant proposals on topics ranging from molecular to cognitive neuroscience during a 10-week class (one quarter). We made this challenging and advanced task feasible for novice learners through extensive instructional scaffolding, opportunity for practice, and frequent peer and instructor feedback. Student and instructor reports indicate that the assignments were highly intellectually engaging and that they promoted critical thinking, a deeper understanding of neuroscience material, and effective written communication skills. Here we outline the mechanics of the assignment, student and instructor impressions of learning outcomes, and the advantages and disadvantages of implementing this approach.

What does the interactive brain hypothesis mean for social neuroscience? A dialogue

Science.gov (United States)

Di Paolo, Ezequiel; Adolphs, Ralph

2016-01-01

A recent framework inspired by phenomenological philosophy, dynamical systems theory, embodied cognition and robotics has proposed the interactive brain hypothesis (IBH). Whereas mainstream social neuroscience views social cognition as arising solely from events in the brain, the IBH argues that social cognition requires, in addition, causal relations between the brain and the social environment. We discuss, in turn, the foundational claims for the IBH in its strongest form; classical views of cognition that can be raised against the IBH; a defence of the IBH in the light of these arguments; and a response to this. Our goal is to initiate a dialogue between cognitive neuroscience and enactive views of social cognition. We conclude by suggesting some new directions and emphases that social neuroscience might take. PMID:27069056

Critical evidence for the prediction error theory in associative learning.

Science.gov (United States)

Terao, Kanta; Matsumoto, Yukihisa; Mizunami, Makoto

2015-03-10

In associative learning in mammals, it is widely accepted that the discrepancy, or error, between actual and predicted reward determines whether learning occurs. Complete evidence for the prediction error theory, however, has not been obtained in any learning systems: Prediction error theory stems from the finding of a blocking phenomenon, but blocking can also be accounted for by other theories, such as the attentional theory. We demonstrated blocking in classical conditioning in crickets and obtained evidence to reject the attentional theory. To obtain further evidence supporting the prediction error theory and rejecting alternative theories, we constructed a neural model to match the prediction error theory, by modifying our previous model of learning in crickets, and we tested a prediction from the model: the model predicts that pharmacological intervention of octopaminergic transmission during appetitive conditioning impairs learning but not formation of reward prediction itself, and it thus predicts no learning in subsequent training. We observed such an "auto-blocking", which could be accounted for by the prediction error theory but not by other competitive theories to account for blocking. This study unambiguously demonstrates validity of the prediction error theory in associative learning.

Grounded understanding of abstract concepts: The case of STEM learning.

Science.gov (United States)

Hayes, Justin C; Kraemer, David J M

2017-01-01

Characterizing the neural implementation of abstract conceptual representations has long been a contentious topic in cognitive science. At the heart of the debate is whether the "sensorimotor" machinery of the brain plays a central role in representing concepts, or whether the involvement of these perceptual and motor regions is merely peripheral or epiphenomenal. The domain of science, technology, engineering, and mathematics (STEM) learning provides an important proving ground for sensorimotor (or grounded) theories of cognition, as concepts in science and engineering courses are often taught through laboratory-based and other hands-on methodologies. In this review of the literature, we examine evidence suggesting that sensorimotor processes strengthen learning associated with the abstract concepts central to STEM pedagogy. After considering how contemporary theories have defined abstraction in the context of semantic knowledge, we propose our own explanation for how body-centered information, as computed in sensorimotor brain regions and visuomotor association cortex, can form a useful foundation upon which to build an understanding of abstract scientific concepts, such as mechanical force. Drawing from theories in cognitive neuroscience, we then explore models elucidating the neural mechanisms involved in grounding intangible concepts, including Hebbian learning, predictive coding, and neuronal recycling. Empirical data on STEM learning through hands-on instruction are considered in light of these neural models. We conclude the review by proposing three distinct ways in which the field of cognitive neuroscience can contribute to STEM learning by bolstering our understanding of how the brain instantiates abstract concepts in an embodied fashion.

Linking theory to practice in learning technology research

Directory of Open Access Journals (Sweden)

Cathy Gunn

2012-03-01

Full Text Available We present a case to reposition theory so that it plays a pivotal role in learning technology research and helps to build an ecology of learning. To support the case, we present a critique of current practice based on a review of articles published in two leading international journals from 2005 to 2010. Our study reveals that theory features only incidentally or not at all in many cases. We propose theory development as a unifying theme for learning technology research study design and reporting. The use of learning design as a strategy to develop and test theories in practice is integral to our argument. We conclude by supporting other researchers who recommend educational design research as a theory focused methodology to move the field forward in productive and consistent ways. The challenge of changing common practice will be involved. However, the potential to raise the profile of learning technology research and improve educational outcomes justifies the effort required.

Practice of Connectivism As Learning Theory: Enhancing Learning Process Through Social Networking Site (Facebook

Directory of Open Access Journals (Sweden)

Fahriye Altınay Aksal

2013-12-01

Full Text Available The impact of the digital age within learning and social interaction has been growing rapidly. The realm of digital age and computer mediated communication requires reconsidering instruction based on collaborative interactive learning process and socio-contextual experience for learning. Social networking sites such as facebook can help create group space for digital dialogue to inform, question and challenge within a frame of connectivism as learning theory within the digital age. The aim of this study is to elaborate the practice of connectivism as learning theory in terms of internship course. Facebook group space provided social learning platform for dialogue and negotiation beside the classroom learning and teaching process in this study. The 35 internship students provided self-reports within a frame of this qualitative research. This showed how principles of theory practiced and how this theory and facebook group space contribute learning, selfleadership, decision making and reflection skills. As the research reflects a practice of new theory based on action research, learning is not individualistic attempt in the digital age as regards the debate on learning in digital age within a frame of connectivism

Learning and dynamic choices under uncertainty: from weighted regret and rejoice to expected utility

OpenAIRE

Zagonari, Fabio

2016-01-01

This paper identifies the globally stable conditions under which an individual facing the same choice in many subsequent times learns to behave as prescribed by the expected-utility model. To do so, the analysis moves from the relevant behavioural models suggested by psychology (i.e., weighted probabilities applied to regret and rejoice theory), and by updating probability estimations and outcome preferences according to the learning models suggested by neuroscience (i.e., adaptive learning a...

Empathy at the confluence of neuroscience and empirical literary studies

NARCIS (Netherlands)

Burke, M.; Mangen, Anne; Kuzmicova, Anezka; Schilhab, Theresa

2016-01-01

The objective of this article is to review extant empirical studies of empathy in narrative reading in light of (a) contemporary literary theory, and (b) neuroscientific studies of empathy, and to discuss how a closer interplay between neuroscience and literary studies may enhance our understanding

Social Learning Strategies: Bridge-Building between Fields.

Science.gov (United States)

Kendal, Rachel L; Boogert, Neeltje J; Rendell, Luke; Laland, Kevin N; Webster, Mike; Jones, Patricia L

2018-07-01

While social learning is widespread, indiscriminate copying of others is rarely beneficial. Theory suggests that individuals should be selective in what, when, and whom they copy, by following 'social learning strategies' (SLSs). The SLS concept has stimulated extensive experimental work, integrated theory, and empirical findings, and created impetus to the social learning and cultural evolution fields. However, the SLS concept needs updating to accommodate recent findings that individuals switch between strategies flexibly, that multiple strategies are deployed simultaneously, and that there is no one-to-one correspondence between psychological heuristics deployed and resulting population-level patterns. The field would also benefit from the simultaneous study of mechanism and function. SLSs provide a useful vehicle for bridge-building between cognitive psychology, neuroscience, and evolutionary biology. Copyright © 2018. Published by Elsevier Ltd.

The role of prediction in social neuroscience

Science.gov (United States)

Brown, Elliot C.; Brüne, Martin

2012-01-01

Research has shown that the brain is constantly making predictions about future events. Theories of prediction in perception, action and learning suggest that the brain serves to reduce the discrepancies between expectation and actual experience, i.e., by reducing the prediction error. Forward models of action and perception propose the generation of a predictive internal representation of the expected sensory outcome, which is matched to the actual sensory feedback. Shared neural representations have been found when experiencing one's own and observing other's actions, rewards, errors, and emotions such as fear and pain. These general principles of the “predictive brain” are well established and have already begun to be applied to social aspects of cognition. The application and relevance of these predictive principles to social cognition are discussed in this article. Evidence is presented to argue that simple non-social cognitive processes can be extended to explain complex cognitive processes required for social interaction, with common neural activity seen for both social and non-social cognitions. A number of studies are included which demonstrate that bottom-up sensory input and top-down expectancies can be modulated by social information. The concept of competing social forward models and a partially distinct category of social prediction errors are introduced. The evolutionary implications of a “social predictive brain” are also mentioned, along with the implications on psychopathology. The review presents a number of testable hypotheses and novel comparisons that aim to stimulate further discussion and integration between currently disparate fields of research, with regard to computational models, behavioral and neurophysiological data. This promotes a relatively new platform for inquiry in social neuroscience with implications in social learning, theory of mind, empathy, the evolution of the social brain, and potential strategies for treating

Computer-based teaching module design: principles derived from learning theories.

Science.gov (United States)

Lau, K H Vincent

2014-03-01

The computer-based teaching module (CBTM), which has recently gained prominence in medical education, is a teaching format in which a multimedia program serves as a single source for knowledge acquisition rather than playing an adjunctive role as it does in computer-assisted learning (CAL). Despite empirical validation in the past decade, there is limited research into the optimisation of CBTM design. This review aims to summarise research in classic and modern multimedia-specific learning theories applied to computer learning, and to collapse the findings into a set of design principles to guide the development of CBTMs. Scopus was searched for: (i) studies of classic cognitivism, constructivism and behaviourism theories (search terms: 'cognitive theory' OR 'constructivism theory' OR 'behaviourism theory' AND 'e-learning' OR 'web-based learning') and their sub-theories applied to computer learning, and (ii) recent studies of modern learning theories applied to computer learning (search terms: 'learning theory' AND 'e-learning' OR 'web-based learning') for articles published between 1990 and 2012. The first search identified 29 studies, dominated in topic by the cognitive load, elaboration and scaffolding theories. The second search identified 139 studies, with diverse topics in connectivism, discovery and technical scaffolding. Based on their relative representation in the literature, the applications of these theories were collapsed into a list of CBTM design principles. Ten principles were identified and categorised into three levels of design: the global level (managing objectives, framing, minimising technical load); the rhetoric level (optimising modality, making modality explicit, scaffolding, elaboration, spaced repeating), and the detail level (managing text, managing devices). This review examined the literature in the application of learning theories to CAL to develop a set of principles that guide CBTM design. Further research will enable educators to

Geometrical methods in learning theory

International Nuclear Information System (INIS)

Burdet, G.; Combe, Ph.; Nencka, H.

2001-01-01

The methods of information theory provide natural approaches to learning algorithms in the case of stochastic formal neural networks. Most of the classical techniques are based on some extremization principle. A geometrical interpretation of the associated algorithms provides a powerful tool for understanding the learning process and its stability and offers a framework for discussing possible new learning rules. An illustration is given using sequential and parallel learning in the Boltzmann machine

Learning Theory and Prosocial Behavior

Science.gov (United States)

Rosenhan, D. L.

1972-01-01

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

An evaluation of post-registration neuroscience focused education and neuroscience nurses' perceived educational needs.

Science.gov (United States)

Braine, Mary E; Cook, Neal

2015-11-01

People with complex neurological conditions require co-ordinated care provided by nurses educated in meeting service needs, understanding the pathophysiological processes of disease and the preparation to care for those with complex needs. However, evidence suggests that neuroscience specific education provision is largely unregulated and set outside of a cohesive professional development context. Furthermore, it largely seems to only address the induction phase into working within neurosciences. To evaluate the nature of post-registration neuroscience focused education across Europe and neuroscience nurses' perceived educational needs. Post qualifying nurses working in the field of neurosciences were invited to complete a self-reported 29-item on-line questionnaire that contained closed and open-ended questions exploring professional background, clinical and educational experience, educational opportunities available to them and their perspectives on their educational needs. 154 participants from fourteen countries across Europe completed the survey. 75% (n=110) of respondents had undertaken neuroscience focused education with the most accessible education opportunities found to be conferences 77% (n=96) and study days 69% (n=86). Overall, 52.6% of courses were multidisciplinary in nature, and 47.4% were exclusively nursing. Most identified that their courses were funded by their employer (57%, n=63) or partly funded by their employer. Results illustrate a significant variance across Europe, highlighting the need for more effective communication between neuroscience nurses across Europe. Implications for future education provision, recruitment/retention, and funding are discussed, resulting in recommendations for the future of neuroscience nursing. This study, the largest of its kind to survey neuroscience nurses, illustrates the absence of a cohesive career development pathway for neuroscience nurses in Europe. Nurses need quality assured specialist education to

Neuroeconomics: Bringing Neuroscience and Economics Together

Directory of Open Access Journals (Sweden)

Gelengül KOÇASLAN

2010-12-01

Full Text Available There are revealed situations in economics where the key axioms of mainstream theory are violated. Bandwagon, snob and Veblen effects are the examples from the demand theory . Maurice Allais and Daniel Ellsberg have determined the behavior anomalies under risk and uncertainty in 1953 and in 1962 respectively. Deviations from the optimal economic behavior have been argued by several economists and psychologists. Currently the components of economic behavior is being discussed at a neural base by neuroeconomists combining the methods of neuroscience and economics. This study is designed to understand neuroeconomics, its techniques and applications and also it is aimed to better understand the basic motives underlying economic behavior in real life situations

The metaphysical lessons of synthetic biology and neuroscience.

Science.gov (United States)

Baertschi, Bernard

2015-01-01

In this paper, I examine some important metaphysical lessons that are often presented as derived from two new scientific disciplines: synthetic biology and neuroscience. I analyse four of them: the nature of life, the existence of a soul (the mind-body problem), personhood, and free will. Many caveats are in order, and each 'advance' or each case should be assessed for itself. I conclude that a main lesson can nevertheless be learned: in conjunction with modern science, neuroscience and synthetic biology allow us to enrich old metaphysical debates, to deepen and even renew them. In particular, it becomes less and less plausible to consider life, mind, person, and agency as non-natural or non-physical entities. Copyright © 2015 Académie des sciences. Published by Elsevier SAS. All rights reserved.

Quantum physics in neuroscience and psychology: A neurophysicalmodel o f mind/brain interaction

Energy Technology Data Exchange (ETDEWEB)

Stapp, Henry P.; Schwartz, Jeffrey M.; Beauregard, Mario

2004-06-01

Contemporary physical theory brings directly and irreducibly into the overall causal structure certain psychologically described choices made by human beings about how they will act. This key development in basic physical theory is applicable to neuroscience, and it provides neuroscientists and psychologists with an alternative conceptual structure for describing neural processes.

The state of the art in organisational cognitive neuroscience: The therapeutic gap and possible implications for clinical practice

Directory of Open Access Journals (Sweden)

Carl eSenior

2013-12-01

Full Text Available In the last decade, researchers in the social sciences have increasingly adopted neuroscientific techniques, with the consequent rise of research inspired by neuroscience in disciplines such as economics, marketing, decision sciences, and leadership. In 2007, we introduced the term organizational cognitive neuroscience (OCN, in an attempt to clearly demarcate research carried out in these many areas, and provide an overarching paradigm for research utilising cognitive neuroscientific methods, theories, and concepts, within the organizational and business research fields. Here we will revisit and further refine the OCN paradigm, and define an approach where we feel the marriage of organisational theory and neuroscience will return even greater dividends in the future and that is within the field of clinical practice.

A Comparative Analysis of Three Unique Theories of Organizational Learning

Science.gov (United States)

Leavitt, Carol C.

2011-01-01

The purpose of this paper is to present three classical theories on organizational learning and conduct a comparative analysis that highlights their strengths, similarities, and differences. Two of the theories -- experiential learning theory and adaptive -- generative learning theory -- represent the thinking of the cognitive perspective, while…

Cognitive Neuroscience of Foreign Language Education: Myths and Realities

Directory of Open Access Journals (Sweden)

Ali Nouri

2015-04-01

Full Text Available This paper summarizes the educational implications of current research on cognitive neuroscience for foreign-language learning to provide an overview of myths and realities in this appealing area of research. Although the potential benefits of neuroscientific research into language acquisition are great, there are a number of popular myths that none of which are supported by scientific evidence. In this paper, three prominent examples of these myths are introduced and discussed how they are based on misinterpretation and misapplication from neuroscience research. The first pervasive example of such misconception is the prevalent belief of being the certain critical periods for learning a second language. It implies that the opportunity to acquire foreign languages is lost forever by missing these biological windows. In fact, however, extensive research shows that there are sensitive periods, but not critical periods, during which an individual can acquire certain aspects of language with greater ease than at other times. Another example of myths is a false conclusion implies that exposing children to a foreign language too early interrupts knowledge of their first language. The reality is that learning a second language not only improves language abilities in the first language, but also positively affects reading abilities and general literacy in school. Like the other myths, there is also a popular conception about ability to learn second language during sleep. It is demonstrated that previously acquired memories are consolidated and new association are learned during sleep, but learning a foreign language requires conscious effort and available data do not support this hypothesis that second language acquire during sleep. The main conclusion arising from this argument is that, while our understanding of the neural bases of language learning is continually evolving, our interpretation of the implications of these findings for foreign language

“Thinking like a Neuroscientist”: Using Scaffolded Grant Proposals to Foster Scientific Thinking in a Freshman Neuroscience Course

Science.gov (United States)

Köver, Hania; Wirt, Stacey E.; Owens, Melinda T.; Dosmann, Andrew J.

2014-01-01

Learning and practicing scientific inquiry is an essential component of a STEM education, but it is often difficult to teach to novices or those outside of a laboratory setting. To promote scientific thinking in a freshmen introductory neuroscience course without a lab component, we developed a series of learning activities and assignments designed to foster scientific thinking through the use of scientific grant proposals. Students wrote three short grant proposals on topics ranging from molecular to cognitive neuroscience during a 10-week class (one quarter). We made this challenging and advanced task feasible for novice learners through extensive instructional scaffolding, opportunity for practice, and frequent peer and instructor feedback. Student and instructor reports indicate that the assignments were highly intellectually engaging and that they promoted critical thinking, a deeper understanding of neuroscience material, and effective written communication skills. Here we outline the mechanics of the assignment, student and instructor impressions of learning outcomes, and the advantages and disadvantages of implementing this approach. PMID:25565917

Mobile Affordances and Learning Theories in Supporting and Enhancing Learning

Science.gov (United States)

MacCallum, Kathryn; Day, Stephanie; Skelton, David; Verhaart, Michael

2017-01-01

Mobile technology promises to enhance and better support students' learning. The exploration and adoption of appropriate pedagogies that enhance learning is crucial for the wider adoption of mobile learning. An increasing number of studies have started to address how existing learning theory can be used to underpin and better frame mobile learning…

The brain at the centre of the information universe: lessons from popular neuroscience

Directory of Open Access Journals (Sweden)

Paul Sturges

2015-03-01

Full Text Available Insights from the recent wealth of popular books on neuroscience are offered to suggest a strengthening of theory in information science. Information theory has traditionally neglected the human dimension in favour of ‘scientific’ theory often derived from the Shannon-Weaver model. Neuroscientists argue in excitingly fresh ways from the evidence of case studies, non-intrusive experimentation and the measurements that can be obtained from technologies that include electroencephalography, positron emission tomography (PET, functional magnetic resonance imaging (fMRI, and magnetoencephalography (MEG. The way in which the findings of neuroscience intersect with ideas such as those of Kahneman on fast and slow thinking and Csikszentmihalyi on flow, is tentatively explored as lines of connection with information science. It is argued that the beginnings of a theoretical underpinning for current web-based information searching in relation to established information retrieval methods can be drawn from this.

What does the interactive brain hypothesis mean for social neuroscience? A dialogue.

Science.gov (United States)

De Jaegher, Hanne; Di Paolo, Ezequiel; Adolphs, Ralph

2016-05-05

A recent framework inspired by phenomenological philosophy, dynamical systems theory, embodied cognition and robotics has proposed the interactive brain hypothesis (IBH). Whereas mainstream social neuroscience views social cognition as arising solely from events in the brain, the IBH argues that social cognition requires, in addition, causal relations between the brain and the social environment. We discuss, in turn, the foundational claims for the IBH in its strongest form; classical views of cognition that can be raised against the IBH; a defence of the IBH in the light of these arguments; and a response to this. Our goal is to initiate a dialogue between cognitive neuroscience and enactive views of social cognition. We conclude by suggesting some new directions and emphases that social neuroscience might take. © 2016 The Author(s).

Open source tools for large-scale neuroscience.

Science.gov (United States)

Freeman, Jeremy

2015-06-01

New technologies for monitoring and manipulating the nervous system promise exciting biology but pose challenges for analysis and computation. Solutions can be found in the form of modern approaches to distributed computing, machine learning, and interactive visualization. But embracing these new technologies will require a cultural shift: away from independent efforts and proprietary methods and toward an open source and collaborative neuroscience. Copyright © 2015 The Author. Published by Elsevier Ltd.. All rights reserved.

Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies.

Science.gov (United States)

Oudeyer, P-Y; Gottlieb, J; Lopes, M

2016-01-01

This chapter studies the bidirectional causal interactions between curiosity and learning and discusses how understanding these interactions can be leveraged in educational technology applications. First, we review recent results showing how state curiosity, and more generally the experience of novelty and surprise, can enhance learning and memory retention. Then, we discuss how psychology and neuroscience have conceptualized curiosity and intrinsic motivation, studying how the brain can be intrinsically rewarded by novelty, complexity, or other measures of information. We explain how the framework of computational reinforcement learning can be used to model such mechanisms of curiosity. Then, we discuss the learning progress (LP) hypothesis, which posits a positive feedback loop between curiosity and learning. We outline experiments with robots that show how LP-driven attention and exploration can self-organize a developmental learning curriculum scaffolding efficient acquisition of multiple skills/tasks. Finally, we discuss recent work exploiting these conceptual and computational models in educational technologies, showing in particular how intelligent tutoring systems can be designed to foster curiosity and learning. © 2016 Elsevier B.V. All rights reserved.

What Can Neuroscience Bring to Education?

Science.gov (United States)

Ferrari, Michel

2011-01-01

Educational neuroscience promises to incorporate emerging insights from neuroscience into education, and is an exiting renovation of cognitive science in education. But unlike cognitive neuroscience--which aims to explain how the mind is embodied--educational neuroscience necessarily incorporates values that reflect the kind of citizen and the…

The Aristotelian conception of habit and its contribution to human neuroscience

Directory of Open Access Journals (Sweden)

Javier eBernacer

2014-11-01

Full Text Available The notion of habit used in neuroscience is an inheritance from a particular theoretical origin, whose main source is William James. Thus, habits have been characterized as rigid, automatic, unconscious, and opposed to goal-directed actions. This analysis leaves unexplained several aspects of human behavior and cognition where habits are of great importance. We intend to demonstrate the utility that another philosophical conception of habit, the Aristotelian, may have for neuroscientific research. We first summarize the current notion of habit in neuroscience, its philosophical inspiration and the problems that arise from it, mostly centered on the sharp distinction between goal-directed actions and habitual behavior. We then introduce the Aristotelian view and we compare it with that of William James. For Aristotle, a habit is an acquired disposition to perform certain types of action. If this disposition involves an enhanced cognitive control of actions, it can be considered a habit-as-learning. The current view of habit in neuroscience, which lacks cognitive control and we term habit-as-routine, is also covered by the Aristotelian conception. He classifies habits into three categories: 1 theoretical, or the retention of learning understood as knowing that x is so; 2 behavioral, through which the agent achieves a rational control of emotion-permeated behavior (knowing how to behave; and 3 technical or learned skills (knowing how to make or to do. Finally, we propose new areas of research where this novel conception of habit could serve as a framework concept, from the cognitive enrichment of actions to the role of habits in pathological conditions. In all, this contribution may shed light on the understanding of habits as an important feature of human action. Habits, viewed as cognitively controlled behaviors that in turn improve cognitive control of behavior, are a crucial resource for enhancing human learning and behavioral plasticity.

Linking theory to practice in learning technology research

OpenAIRE

Cathy Gunn; Caroline Steel

2012-01-01

We present a case to reposition theory so that it plays a pivotal role in learning technology research and helps to build an ecology of learning. To support the case, we present a critique of current practice based on a review of articles published in two leading international journals from 2005 to 2010. Our study reveals that theory features only incidentally or not at all in many cases. We propose theory development as a unifying theme for learning technology research study design and repor...

The Attribution Theory of Learning and Advising Students on Academic Probation

Science.gov (United States)

Demetriou, Cynthia

2011-01-01

Academic advisors need to be knowledgeable of the ways students learn. To aid advisors in their exploration of learning theories, I provide an overview of the attribution theory of learning, including recent applications of the theory to research in college student learning. An understanding of this theory may help advisors understand student…

From Cognitive to Educational Neuroscience

Science.gov (United States)

Dündar, Sefa; Ayvaz, Ülkü

2016-01-01

In recent years, several theoretical discussions as to the relationship between neuroscience and education have been held. Researchers have started to have cooperation over neuroscience and the interdisciplinary researches in which education is included. It was found that there were interactions between cognitive neuroscience and educational…

Learning theories application in nursing education

OpenAIRE

Aliakbari, Fatemeh; Parvin, Neda; Heidari, Mohammad; Haghani, Fariba

2015-01-01

Learning theories are the main guide for educational systems planning in the classroom and clinical training included in nursing. The teachers by knowing the general principles of these theories can use their knowledge more effectively according to various learning situations. In this study, Eric, Medline, and Cochrane databases were used for articles in English and for the Persian literature, Magiran, Iran doc, Iran medex, and Sid databases were used with the help of keywords including socia...

Learning theory of distributed spectral algorithms

International Nuclear Information System (INIS)

Guo, Zheng-Chu; Lin, Shao-Bo; Zhou, Ding-Xuan

2017-01-01

Spectral algorithms have been widely used and studied in learning theory and inverse problems. This paper is concerned with distributed spectral algorithms, for handling big data, based on a divide-and-conquer approach. We present a learning theory for these distributed kernel-based learning algorithms in a regression framework including nice error bounds and optimal minimax learning rates achieved by means of a novel integral operator approach and a second order decomposition of inverse operators. Our quantitative estimates are given in terms of regularity of the regression function, effective dimension of the reproducing kernel Hilbert space, and qualification of the filter function of the spectral algorithm. They do not need any eigenfunction or noise conditions and are better than the existing results even for the classical family of spectral algorithms. (paper)

Reconstructing constructivism: Causal models, Bayesian learning mechanisms and the theory theory

OpenAIRE

Gopnik, Alison; Wellman, Henry M.

2012-01-01

We propose a new version of the “theory theory” grounded in the computational framework of probabilistic causal models and Bayesian learning. Probabilistic models allow a constructivist but rigorous and detailed approach to cognitive development. They also explain the learning of both more specific causal hypotheses and more abstract framework theories. We outline the new theoretical ideas, explain the computational framework in an intuitive and non-technical way, and review an extensive but ...

Contemporary neuroscience in the media.

Science.gov (United States)

Racine, Eric; Waldman, Sarah; Rosenberg, Jarett; Illes, Judy

2010-08-01

Technological innovations in neuroscience have opened new windows to the understanding of brain function and the neuronal underpinnings of brain activity in neuropsychiatric disorders and social behavior. Public interest and support for neuroscience research through initiatives like the Decade of the Brain project and increasingly diverse brain-related initiatives have created new interfaces between neuroscience and society. Against this backdrop of dynamic innovation, we set out to examine how different features of neuroscience are depicted in print media. We used the 'guided news' function of the LexisNexis Academic database with keyword searches to find news articles published between 1995 and 2004 in major U.S. and U.K. English-language news sources. We performed searches on headlines, lead paragraphs, and body terms to maximize search yields. All articles were coded for overall tone of coverage, details on reported studies, presence of ethical, legal, and social discussion as well as the emerging interpretations of neuroscience - in the form of neuro-essentialism, neuro-realism, and neuro-policy. We found that print media coverage of the use of neurotechnology for diagnosis or therapy in neuropsychiatric disorders was generally optimistic. We also found that, even within articles that were identified as research reports, many did not provide details about research studies. We also gained additional insights into the previously identified phenomena of neuro-essentialism, neuro-realism, and neuro-policy showing some profound impacts of neuroscience on personal identity and policy-making. Our results highlight the implications of transfer of neuroscience knowledge to society given the substantial and authoritative weight ascribed to neuroscience knowledge in defining who we are. We also discuss the impact of these findings on neuroscience and on the respective contributions of the social sciences and the biological sciences in contemporary psychiatry and mental

Developing Scale for Assimilate the Integration between Learning Theories and E-learning.

Directory of Open Access Journals (Sweden)

George Maher Iskander

2014-03-01

Full Text Available As e-learning tend to get more and more significant for all kind of universities, researchers and consultants are becoming aware of the fact that a high technology approach and Blackboard do not guarantee successful teaching and learning. Thus, a move to pedagogy-based theories can be observed within the field of e-learning. This study describes the procedure of the development of an empirically-based psychometrically-sound instrument to measure instructional model for e-learning system at Middle East universities. In order to accelerate the acceptance of e-learning and implementation of institution-wide adoption of e-learning, it is important to understand students' perceptions with instructional model for e- learning. The 19-item scale developed shows a high probability of differentiating between positive and negative perceptions and the methods which can be used for embedding the traditional learning theories into e-learning.

Theory and method at the intersection of anthropology and cultural neuroscience

OpenAIRE

Seligman, Rebecca; Brown, Ryan A.

2009-01-01

Anthropologists have become increasingly interested in embodiment—that is, the ways that socio-cultural factors influence the form, behavior and subjective experience of human bodies. At the same time, social cognitive neuroscience has begun to reveal the mechanisms of embodiment by investigating the neural underpinnings and consequences of social experience. Despite this overlap, the two fields have barely engaged one another. We suggest three interconnected domains of inquiry in which the i...

Learning "in" or "with" Games? Quality Criteria for Digital Learning Games from the Perspectives of Learning, Emotion, and Motivation Theory

Science.gov (United States)

Hense, Jan; Mandl, Heinz

2012-01-01

This conceptual paper aims to clarify the theoretical underpinnings of game based learning (GBL) and learning with digital learning games (DLGs). To do so, it analyses learning of game related skills and contents, which occurs constantly during playing conventional entertainment games, from three perspectives: learning theory, emotion theory, and…

Learning Theory Bases of Communicative Methodology and the Notional/Functional Syllabus

OpenAIRE

Jacqueline D., Beebe

1992-01-01

This paper examines the learning theories that underlie the philosophy and practices known as communicative language teaching methodology. These theories are identified first as a reaction against the behavioristic learning theory of audiolingualism. Approaches to syllabus design based on both the "weak" version of communicative language teaching-learning to use the second language-and the "strong" version-using the second language to learn it-are examined. The application of cognitive theory...

Why formal learning theory matters for cognitive science.

Science.gov (United States)

Fulop, Sean; Chater, Nick

2013-01-01

This article reviews a number of different areas in the foundations of formal learning theory. After outlining the general framework for formal models of learning, the Bayesian approach to learning is summarized. This leads to a discussion of Solomonoff's Universal Prior Distribution for Bayesian learning. Gold's model of identification in the limit is also outlined. We next discuss a number of aspects of learning theory raised in contributed papers, related to both computational and representational complexity. The article concludes with a description of how semi-supervised learning can be applied to the study of cognitive learning models. Throughout this overview, the specific points raised by our contributing authors are connected to the models and methods under review. Copyright © 2013 Cognitive Science Society, Inc.

Advancing Ethical Neuroscience Research.

Science.gov (United States)

Borah, B Rashmi; Strand, Nicolle K; Chillag, Kata L

2016-12-01

As neuroscience research advances, researchers, clinicians, and other stakeholders will face a host of ethical challenges. The Presidential Commission for the Study of Bioethical Issues (Bioethics Commission) has published two reports that provide recommendations on how to advance research endeavors ethically. The commission addressed, among other issues, how to prioritize different types of neuroscience research and how to include research participants who have impaired consent capacity. The Bioethics Commission's recommendations provide a foundation for ethical guidelines as neuroscience research advances and progresses. © 2016 American Medical Association. All Rights Reserved.

Neuroscience, Music, and Culture: Finding Pathways to Effective Multicultural Music Education

Science.gov (United States)

Halick, Mary E.

2017-01-01

There is a long-standing belief in U.S. music education that students should learn music from other cultures. Research that incorporates elements of neuroscience, music, and culture can provide evidence teachers need to improve the design and implementation of multicultural music education curricula. The purpose of this short-form literature…

Introduction to Views of Connectivism Theory of Learning

Directory of Open Access Journals (Sweden)

Sa’adi Sa’adi

2016-07-01

Full Text Available ‘Traditional’ theories of learning as pratical dimensions of psychology majorly tend to focus their interest on humans’ inner factors that influence the process of learning such as intelligences, motivation, interest, attitude, concentration and aptitude. They never connect it with instruments and technological inventions such as multimedia, cyber celluler, internet, even social organization, cultural values, traditions etc., while these are very influential nowdays towards the progress and behaviors of human life. As such the application of connectivism theory of learning which connect those dimensions of life with learning activities, is now and then insparable from any effort to promote the quality of humans’ learning itself, including in teaching and learning languages.

Simulation Methodology in Nursing Education and Adult Learning Theory

Science.gov (United States)

Rutherford-Hemming, Tonya

2012-01-01

Simulation is often used in nursing education as a teaching methodology. Simulation is rooted in adult learning theory. Three learning theories, cognitive, social, and constructivist, explain how learners gain knowledge with simulation experiences. This article takes an in-depth look at each of these three theories as each relates to simulation.…

Neuroscience and approach/avoidance personality traits: a two stage (valuation-motivation) approach.

Science.gov (United States)

Corr, Philip J; McNaughton, Neil

2012-11-01

Many personality theories link specific traits to the sensitivities of the neural systems that control approach and avoidance. But there is no consensus on the nature of these systems. Here we combine recent advances in economics and neuroscience to provide a more solid foundation for a neuroscience of approach/avoidance personality. We propose a two-stage integration of valuation (loss/gain) sensitivities with motivational (approach/avoidance/conflict) sensitivities. Our key conclusions are: (1) that valuation of appetitive and aversive events (e.g. gain and loss as studied by behavioural economists) is an independent perceptual input stage--with the economic phenomenon of loss aversion resulting from greater negative valuation sensitivity compared to positive valuation sensitivity; (2) that valuation of an appetitive stimulus then interacts with a contingency of presentation or omission to generate a motivational 'attractor' or 'repulsor', respectively (vice versa for an aversive stimulus); (3) the resultant behavioural tendencies to approach or avoid have distinct sensitivities to those of the valuation systems; (4) while attractors and repulsors can reinforce new responses they also, more usually, elicit innate or previously conditioned responses and so the perception/valuation-motivation/action complex is best characterised as acting as a 'reinforcer' not a 'reinforcement'; and (5) approach-avoidance conflict must be viewed as activating a third motivation system that is distinct from the basic approach and avoidance systems. We provide examples of methods of assessing each of the constructs within approach-avoidance theories and of linking these constructs to personality measures. We sketch a preliminary five-element reinforcer sensitivity theory (RST-5) as a first step in the integration of existing specific approach-avoidance theories into a coherent neuroscience of personality. Copyright © 2012 Elsevier Ltd. All rights reserved.

Neuroscience research in Africa: Current status

OpenAIRE

Abd-Allah, Foad; Kissani, Najib; William, Anthony; Oraby, Mohammed Ibrahim; Moustafa, Ramez Reda; Shaker, Ehab; El-Tamawy, Mohamed Soliman; Shakir, Raad

2015-01-01

There are limited data on the contribution of the African continent to neuroscience research and publications. This review aims to provide a clear view on the state of neuroscience research among African countries, and to compare neuroscience research within the 52 African countries. A literature review search was conducted for all published articles by African authors in both local and international journals using Medline and other primary databases. Neuroscience represents 9.1% of the total...

Reflection of Learning Theories in Iranian ELT Textbooks

Science.gov (United States)

Neghad, Hossein Hashem

2014-01-01

This study was undertaken to evaluate Iranian ELT English textbooks (Senior High school and Pre-University) in the light of three learning theories i.e., behaviourism, cognitivism, and constructivism. Each of these learning theories embedding an array of instructional strategies and techniques acted as evaluation checklist. That is, Iranian ELT…

Jigsaw Cooperative Learning: Acid-Base Theories

Science.gov (United States)

Tarhan, Leman; Sesen, Burcin Acar

2012-01-01

This study focused on investigating the effectiveness of jigsaw cooperative learning instruction on first-year undergraduates' understanding of acid-base theories. Undergraduates' opinions about jigsaw cooperative learning instruction were also investigated. The participants of this study were 38 first-year undergraduates in chemistry education…

Task-Based Language Teaching and Expansive Learning Theory

Science.gov (United States)

Robertson, Margaret

2014-01-01

Task-Based Language Teaching (TBLT) has become increasingly recognized as an effective pedagogy, but its location in generalized sociocultural theories of learning has led to misunderstandings and criticism. The purpose of this article is to explain the congruence between TBLT and Expansive Learning Theory and the benefits of doing so. The merit…

A case for human systems neuroscience.

Science.gov (United States)

Gardner, J L

2015-06-18

Can the human brain itself serve as a model for a systems neuroscience approach to understanding the human brain? After all, how the brain is able to create the richness and complexity of human behavior is still largely mysterious. What better choice to study that complexity than to study it in humans? However, measurements of brain activity typically need to be made non-invasively which puts severe constraints on what can be learned about the internal workings of the brain. Our approach has been to use a combination of psychophysics in which we can use human behavioral flexibility to make quantitative measurements of behavior and link those through computational models to measurements of cortical activity through magnetic resonance imaging. In particular, we have tested various computational hypotheses about what neural mechanisms could account for behavioral enhancement with spatial attention (Pestilli et al., 2011). Resting both on quantitative measurements and considerations of what is known through animal models, we concluded that weighting of sensory signals by the magnitude of their response is a neural mechanism for efficient selection of sensory signals and consequent improvements in behavioral performance with attention. While animal models have many technical advantages over studying the brain in humans, we believe that human systems neuroscience should endeavor to validate, replicate and extend basic knowledge learned from animal model systems and thus form a bridge to understanding how the brain creates the complex and rich cognitive capacities of humans. Copyright © 2014 IBRO. Published by Elsevier Ltd. All rights reserved.

Speech perception under adverse conditions: Insights from behavioral, computational and neuroscience research

Directory of Open Access Journals (Sweden)

Sara eGuediche

2014-01-01

Full Text Available Adult speech perception reflects the long-term regularities of the native language, but it is also flexible such that it accommodates and adapts to adverse listening conditions and short-term deviations from native-language norms. The purpose of this review article is to examine how the broader neuroscience literature can inform and advance research efforts in understanding the neural basis of flexibility and adaptive plasticity in speech perception. In particular, we consider several domains of neuroscience research that offer insight into how perception can be adaptively tuned to short-term deviations while also maintaining without affecting the long-term learned regularities for mapping sensory input. We review several literatures to highlight the potential role of learning algorithms that rely on prediction error signals and discuss specific neural structures that are likely to contribute to such learning. Already, a few studies have alluded to a potential role of these mechanisms in adaptive plasticity in speech perception. Better understanding the application and limitations of these algorithms for the challenges of flexible speech perception under adverse conditions promises to inform theoretical models of speech.

Motivation to learn: an overview of contemporary theories.

Science.gov (United States)

Cook, David A; Artino, Anthony R

2016-10-01

To succinctly summarise five contemporary theories about motivation to learn, articulate key intersections and distinctions among these theories, and identify important considerations for future research. Motivation has been defined as the process whereby goal-directed activities are initiated and sustained. In expectancy-value theory, motivation is a function of the expectation of success and perceived value. Attribution theory focuses on the causal attributions learners create to explain the results of an activity, and classifies these in terms of their locus, stability and controllability. Social- cognitive theory emphasises self-efficacy as the primary driver of motivated action, and also identifies cues that influence future self-efficacy and support self-regulated learning. Goal orientation theory suggests that learners tend to engage in tasks with concerns about mastering the content (mastery goal, arising from a 'growth' mindset regarding intelligence and learning) or about doing better than others or avoiding failure (performance goals, arising from a 'fixed' mindset). Finally, self-determination theory proposes that optimal performance results from actions motivated by intrinsic interests or by extrinsic values that have become integrated and internalised. Satisfying basic psychosocial needs of autonomy, competence and relatedness promotes such motivation. Looking across all five theories, we note recurrent themes of competence, value, attributions, and interactions between individuals and the learning context. To avoid conceptual confusion, and perhaps more importantly to maximise the theory-building potential of their work, researchers must be careful (and precise) in how they define, operationalise and measure different motivational constructs. We suggest that motivation research continue to build theory and extend it to health professions domains, identify key outcomes and outcome measures, and test practical educational applications of the principles

Educational Neuroscience: Neuroethical Considerations

Science.gov (United States)

Lalancette, Helene; Campbell, Stephen R.

2012-01-01

Research design and methods in educational neuroscience involve using neuroscientific tools such as brain image technologies to investigate cognitive functions and inform educational practices. The ethical challenges raised by research in social neuroscience have become the focus of neuroethics, a sub-discipline of bioethics. More specifically…

The Muscle Sensor for on-site neuroscience lectures to pave the way for a better understanding of brain-machine-interface research.

Science.gov (United States)

Koizumi, Amane; Nagata, Osamu; Togawa, Morio; Sazi, Toshiyuki

2014-01-01

Neuroscience is an expanding field of science to investigate enigmas of brain and human body function. However, the majority of the public have never had the chance to learn the basics of neuroscience and new knowledge from advanced neuroscience research through hands-on experience. Here, we report that we produced the Muscle Sensor, a simplified electromyography, to promote educational understanding in neuroscience. The Muscle Sensor can detect myoelectric potentials which are filtered and processed as 3-V pulse signals to shine a light bulb and emit beep sounds. With this educational tool, we delivered "On-Site Neuroscience Lectures" in Japanese junior-high schools to facilitate hands-on experience of neuroscientific electrophysiology and to connect their text-book knowledge to advanced neuroscience researches. On-site neuroscience lectures with the Muscle Sensor pave the way for a better understanding of the basics of neuroscience and the latest topics such as how brain-machine-interface technology could help patients with disabilities such as spinal cord injuries. Copyright © 2013 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Group psychotherapy and neuro-plasticity: an attachment theory perspective.

Science.gov (United States)

Flores, Philip J

2010-10-01

This article selectively highlights relevant areas of neuroscience research which have direct application for attachment theory and group psychotherapy. Emerging evidence from the neurosciences is revealing that the developing brain of the infant, sculpted by the earliest attachment relationships, continues to be malleable in adulthood and can be profoundly influenced by ongoing relationships throughout one's lifespan. Advances in the neurosciences are also supporting the idea that strong attachment bonds and external interpersonal interactions that arise within the context of these attachments are registered as a person's neurophysiology and neurobiology. Attachment theory in particular provides a common language and conceptual framework from which the contributions from the neurosciences can be made applicable to group psychotherapy.

Kolb's Experiential Learning Theory in Athletic Training Education: A Literature Review

Science.gov (United States)

Schellhase, Kristen C.

2008-01-01

Objective: Kolb's Experiential Learning Theory offers insight into the development of learning styles, classification of learning styles, and how students learn through experience. Discussion is presented on the value of Kolb's Experiential Learning Theory for Athletic Training Education. Data Sources: This article reviews research related to…

Constructing a Grounded Theory of E-Learning Assessment

Science.gov (United States)

Alonso-Díaz, Laura; Yuste-Tosina, Rocío

2015-01-01

This study traces the development of a grounded theory of assessment in e-learning environments, a field in need of research to establish the parameters of an assessment that is both reliable and worthy of higher learning accreditation. Using grounded theory as a research method, we studied an e-assessment model that does not require physical…

Developing a Domain Theory Defining and Exemplifying a Learning Theory of Progressive Attainments

Science.gov (United States)

Bunderson, C. Victor

2011-01-01

This article defines the concept of Domain Theory, or, when educational measurement is the goal, one might call it a "Learning Theory of Progressive Attainments in X Domain". The concept of Domain Theory is first shown to be rooted in validity theory, then the concept of domain theory is expanded to amplify its necessary but long neglected…

Developing the master learner: applying learning theory to the learner, the teacher, and the learning environment.

Science.gov (United States)

Schumacher, Daniel J; Englander, Robert; Carraccio, Carol

2013-11-01

As a result of the paradigm shift to a competency-based framework, both self-directed lifelong learning and learner-centeredness have become essential tenets of medical education. In the competency-based framework, learners drive their own educational process, and both learners and teachers share the responsibility for the path and content of learning. This learner-centered emphasis requires each physician to develop and maintain lifelong learning skills, which the authors propose culminate in becoming a "master leaner." To better understand the development of these skills and the attainment of that goal, the authors explore how learning theories inform the development of master learners and how to translate these theories into practical strategies for the learner, the teacher, and the learning environment so as to optimize this development.The authors begin by exploring self-determination theory, which lays the groundwork for understanding the motivation to learn. They next consider the theories of cognitive load and situated cognition, which inform the optimal context and environment for learning. Building from this foundation, the authors consider key educational theories that affect learners' abilities to serve as primary drivers of their learning, including self-directed learning (SDL); the self-assessment skills necessary for SDL; factors affecting self-assessment (self-concept, self-efficacy, illusory superiority, gap filling); and ways to mitigate the inaccuracies of self-assessment (reflection, self-monitoring, external information seeking, and self-directed assessment seeking).For each theory, they suggest practical action steps for the learner, the teacher, and the learning environment in an effort to provide a road map for developing master learners.

Repositioning Ideology Critique in a Critical Theory of Adult Learning.

Science.gov (United States)

Brookfield, Stephen

2001-01-01

Reexamines critical theory as a response to Marxism and repositions ideology critique as a crucial adult learning process. Argues that a critical theory of adult learning should focus on how adults learn to recognize and challenge ideological domination and manipulation. (Contains 31 references.) (SK)

Learning Theory Applied to the Biology Classroom.

Science.gov (United States)

Novak, Joseph D.

1980-01-01

The material presented in this article is intended to help students learn how to learn. The seven key concepts of David Ausubel's assimilation theory for cognitive learning are discussed with reference to the classroom. Concept mapping is suggested as a tool for demonstrating how the seven key concepts function. (SA)

Reflecting on Learner Assessments and Their Validity in the Presence of Emerging Evidence from Neuroscience

Science.gov (United States)

Watagodakumbura, Chandana

2015-01-01

We can now get purposefully directed in the way we assess our learners in light of the emergence of evidence from the field of neuroscience. Why higher-order learning or abstract concepts need to be the focus in assessment is elaborated using the knowledge of semantic and episodic memories. With most of our learning identified to be implicit, why…

On-the-Job Training and Social Learning Theory. A Literature Review

Science.gov (United States)

1980-05-01

and discussed by Albert Bandura (47). The principles of social learning theory and learning from models are first described. Then a series of rules...developed by Bandura and his students (47, 48, 49) to be the most useful theory to account for observational learning and to provide a basis for...Learning Theory and Its Application 47. Bandura , A. Principles of Behavior Modification, New York: Holt, Rinehart & Winston, 1969. 48. Bandura , A

The Potential of Neuroscience for Health Sciences Education: Towards Convergence of Evidence and Resisting Seductive Allure

Science.gov (United States)

de Bruin, Anique B. H.

2016-01-01

Since emergence of the field "Educational Neuroscience" (EN) in the late nineties of the previous century, a debate has emerged about the potential this field holds to influence teaching and learning in the classroom. By now, most agree that the original claims promising direct translations to teaching and learning were too strong. I…

Linking Theory to Practice in Learning Technology Research

Science.gov (United States)

Gunn, Cathy; Steel, Caroline

2012-01-01

We present a case to reposition theory so that it plays a pivotal role in learning technology research and helps to build an ecology of learning. To support the case, we present a critique of current practice based on a review of articles published in two leading international journals from 2005 to 2010. Our study reveals that theory features only…

Early Language Learning and the Social Brain.

Science.gov (United States)

Kuhl, Patricia K

2014-01-01

Explaining how every typically developing child acquires language is one of the grand challenges of cognitive neuroscience. Historically, language learning provoked classic debates about the contributions of innately specialized as opposed to general learning mechanisms. Now, new data are being brought to bear from studies that employ magnetoencephalograph (MEG), electroencephalograph (EEG), magnetic resonance imaging (MRI), and diffusion tensor imaging (DTI) studies on young children. These studies examine the patterns of association between brain and behavioral measures. The resulting data offer both expected results and surprises that are altering theory. As we uncover what it means to be human through the lens of young children, and their ability to speak, what we learn will not only inform theories of human development, but also lead to the discovery of neural biomarkers, early in life, that indicate risk for language impairment and allow early intervention for children with developmental disabilities involving language. Copyright © 2014 Cold Spring Harbor Laboratory Press; all rights reserved.

Invertebrate neuroscience and CephsInAction at the Mediterranean Society for Neuroscience Meeting Cagliari 2015.

Science.gov (United States)

Holden-Dye, Lindy; Fiorito, Graziano; Ponte, Giovanna

2015-12-01

Invertebrate neuroscience, and in particular cephalopod research, is well represented in the Mediterranean region. Therefore, the recent meeting of the Mediterranean Society for Neuroscience in Santa Margherita di Pula, Sardinia (12-15 June 2015) provided an excellent opportunity for invertebrate contributions. Furthermore, the Chair of an EU COST Action for cephalopod research (FA1301; www.cephsinaction.org ), Giovanna Ponte, together with Graziano Fiorito from the Stazione Zoologica, Naples, aligned a meeting of research groups working in the field of cephalopod neurophysiology from across Europe to coincide with the neuroscience meeting. This provided an exciting forum for exchange of ideas. Here we provide brief highlights of both events and an explanation of the activities of the COST Action for the broader invertebrate neuroscience community.

Optimizing Computer Assisted Instruction By Applying Principles of Learning Theory.

Science.gov (United States)

Edwards, Thomas O.

The development of learning theory and its application to computer-assisted instruction (CAI) are described. Among the early theoretical constructs thought to be important are E. L. Thorndike's concept of learning connectisms, Neal Miller's theory of motivation, and B. F. Skinner's theory of operant conditioning. Early devices incorporating those…

The neurosciences research program at MIT and the beginning of the modern field of neuroscience.

Science.gov (United States)

Adelman, George

2010-01-15

The interdisciplinary field, "neuroscience," began at MIT in 1962 with the founding of the Neurosciences Research Program (NRP) by Francis O. Schmitt and a group of US and international scientists - physical, biological, medical, and behavioral - interested in understanding the brain basis of behavior and mind. They organized and held specialist meetings of basic topics in neuroscience, and the journal and book publications over the next 20 years, based on these meetings, helped establish the new field.

The application of learning theory in horse training

DEFF Research Database (Denmark)

McLean, Andrew N.; Christensen, Janne Winther

2017-01-01

The millennia-old practices of horse training markedly predate and thus were isolated from the mid-twentieth century revelation of animal learning processes. From this standpoint, the progress made in the application and understanding of learning theory in horse training is reviewed including...... on the correct application of learning theory, and safety and welfare benefits for people and horses would follow. Finally it is also proposed that the term ‘conflict theory’ be taken up in equitation science to facilitate diagnosis of training-related behaviour disorders and thus enable the emergence...

Critical Neuroscience – or Critical Science? A Perspective on the Perceived Normative Significance of Neuroscience

Directory of Open Access Journals (Sweden)

Stephan eSchleim

2014-05-01

Full Text Available Members of the Critical Neuroscience initiative raised the question whether the perceived normative significance of neuroscience is justified by the discipline’s actual possibilities. In this paper I show how brain research was assigned the ultimate political, social, and moral authority by some leading researchers who suggested that neuroscientists should change their research priorities, promising solutions to social challenges in order to increase research funds. Discussing the two examples of cognitive enhancement and the neuroscience of (immoral behavior I argue that there is indeed a gap between promises and expectations on the one hand and knowledge and applications on the other. However it would be premature to generalize this to the neurosciences at large, whose knowledge-producing, innovative, and economic potentials have just recently been confirmed by political and scientific decision-makers with the financial support for the Human Brain Project and the BRAIN Initiative. Finally, I discuss two explanations for the analyzed communication patterns and argue why Critical Neuroscience is necessary, but not sufficient. A more general Critical Science movement is required to improve the scientific incentive system.

Theory of mind selectively predicts preschoolers' knowledge-based selective word learning.

Science.gov (United States)

Brosseau-Liard, Patricia; Penney, Danielle; Poulin-Dubois, Diane

2015-11-01

Children can selectively attend to various attributes of a model, such as past accuracy or physical strength, to guide their social learning. There is a debate regarding whether a relation exists between theory-of-mind skills and selective learning. We hypothesized that high performance on theory-of-mind tasks would predict preference for learning new words from accurate informants (an epistemic attribute), but not from physically strong informants (a non-epistemic attribute). Three- and 4-year-olds (N = 65) completed two selective learning tasks, and their theory-of-mind abilities were assessed. As expected, performance on a theory-of-mind battery predicted children's preference to learn from more accurate informants but not from physically stronger informants. Results thus suggest that preschoolers with more advanced theory of mind have a better understanding of knowledge and apply that understanding to guide their selection of informants. This work has important implications for research on children's developing social cognition and early learning. © 2015 The British Psychological Society.

Theory of mind selectively predicts preschoolers’ knowledge-based selective word learning

Science.gov (United States)

Brosseau-Liard, Patricia; Penney, Danielle; Poulin-Dubois, Diane

2015-01-01

Children can selectively attend to various attributes of a model, such as past accuracy or physical strength, to guide their social learning. There is a debate regarding whether a relation exists between theory-of-mind skills and selective learning. We hypothesized that high performance on theory-of-mind tasks would predict preference for learning new words from accurate informants (an epistemic attribute), but not from physically strong informants (a non-epistemic attribute). Three- and 4-year-olds (N = 65) completed two selective learning tasks, and their theory of mind abilities were assessed. As expected, performance on a theory-of-mind battery predicted children’s preference to learn from more accurate informants but not from physically stronger informants. Results thus suggest that preschoolers with more advanced theory of mind have a better understanding of knowledge and apply that understanding to guide their selection of informants. This work has important implications for research on children’s developing social cognition and early learning. PMID:26211504

Connectivism: Learning theory of the future or vestige of the past?

Directory of Open Access Journals (Sweden)

Rita Kop

2008-10-01

Full Text Available Siemens and Downes initially received increasing attention in the blogosphere in 2005 when they discussed their ideas concerning distributed knowledge. An extended discourse has ensued in and around the status of ‘connectivism’ as a learning theory for the digital age. This has led to a number of questions in relation to existing learning theories. Do they still meet the needs of today’s learners, and anticipate the needs of learners of the future? Would a new theory that encompasses new developments in digital technology be more appropriate, and would it be suitable for other aspects of learning, including in the traditional class room, in distance education and e-learning? This paper will highlight current theories of learning and critically analyse connectivism within the context of its predecessors, to establish if it has anything new to offer as a learning theory or as an approach to teaching for the 21st Century.

Critical neuroscience-or critical science? A perspective on the perceived normative significance of neuroscience

NARCIS (Netherlands)

Schleim, Stephan

2014-01-01

Members of the Critical Neuroscience initiative raised the question whether the perceived normative significance of neuroscience is justified by the discipline's actual possibilities. In this paper I show how brain research was assigned the ultimate political, social, and moral authority by some

Do the Modern Neurosciences Call for a New Model of Organizational Cognition?

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Seni, Dan Alexander

2012-01-01

Our purpose in this paper is to try to make a significant contribution to the analysis of cognitive capabilities of the organization of active social systems such as the business enterprise by re-examining the concepts of organizational intelligence, organizational memory and organizational learning in light of the findings of modern neuroscience.…

Reviewing the Purpose of Education and Challenges Faced in Implementing Sound Pedagogical Practices in the Presence of Emerging Evidence from Neuroscience

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Watagodakumbura, Chandana

2015-01-01

The field of neuroscience has been evolving constantly and at a rapid pace in the recent past. Consequently, neuroscientists have put forth a wealth of knowledge in relation learning and education in general. In this context, how can we as educators benefit from the emerging evidence from neuroscience so that we can take a significant step forward…

Three Theories of Learning and Their Implications for Teachers.

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Ramirez, Aura I.

Currently, three theories of learning dominate classroom practice. First, B.F. Skinner's Theory of Operant Conditioning states that if behavior, including learning behavior, is reinforced, the probability of its being repeated increases strongly. Different types and schedules of reinforcement have been studied, by Skinner and others, and the…

Applying Distributed Learning Theory in Online Business Communication Courses.

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Walker, Kristin

2003-01-01

Focuses on the critical use of technology in online formats that entail relatively new teaching media. Argues that distributed learning theory is valuable for teachers of online business communication courses for several reasons. Discusses the application of distributed learning theory to the teaching of business communication online. (SG)

[Linking learning theory with practice].

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Ávalos-Carranza, María Teresa; Amador-Olvera, Eric; Zerón-Gutiérrez, Lydia

2016-01-01

It is often said that it is easier to learn what is observed and practiced on a daily basis; to the need to effectively link theory with practice considered in the process of teaching and learning, many strategies have been developed to allow this process to be carried out in a more efficiently maner. It is, therefore, very important to recognize that an appropriate teacher/student relationship is essential for students to acquire the skills and abilities required.

Learning Theories Applied to Teaching Technology: Constructivism versus Behavioral Theory for Instructing Multimedia Software Programs

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Reed, Cajah S.

2012-01-01

This study sought to find evidence for a beneficial learning theory to teach computer software programs. Additionally, software was analyzed for each learning theory's applicability to resolve whether certain software requires a specific method of education. The results are meant to give educators more effective teaching tools, so students…

Undergraduate Neuroscience Education: Blueprints for the 21(st) Century.

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Wiertelak, Eric P; Ramirez, Julio J

2008-01-01

Paralleling the explosive growth of neuroscientific knowledge over the last two decades, numerous institutions from liberal arts colleges to research universities have either implemented or begun exploring the possibility of implementing undergraduate programs in neuroscience. In 1995, Faculty for Undergraduate Neuroscience (FUN) partnered with Project Kaleidoscope (PKAL) to offer a workshop exploring how undergraduate neuroscience education should proceed. Four blueprints were created to provide direction to the burgeoning interest in developing programs in undergraduate neuroscience education: 1) Neuroscience nested in psychology; 2) Neuroscience nested in biology; 3) Neuroscience as a minor; and 4) Neuroscience as a major. In 2005, FUN again partnered with PKAL to revisit the blueprints in order to align the blueprints with modern pedagogical philosophy and technology. The original four blueprints were modified and updated. One particularly exciting outgrowth of the 2005 workshop was the introduction of a fifth curricular blueprint that strongly emphasizes the integration of the humanities and social sciences into neuroscience: Neuroscience Studies. Because of the interdisciplinary nature of neuroscience, an education in neuroscience will prepare the next generation of students to think critically, synthetically, and creatively as they confront the problems facing humanity in the 21(st) century.

Cognitive Neuroscience and the "Mind-Body problem"

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Grega Repovš

2004-08-01

Full Text Available In recent years we have witnessed an upsurge of interest in the study of the human mind and how it relates to the material body, the brain. Cognitive neuroscience is a multidisciplinary science that tries to explain how the mind arises from the structure and workings of the brain. Can we equate the study of mind-body relationship with cognitive neuroscience? Are there aspects of mind-body relationship that are not covered by cognitive neuroscience? Is cognitive neuroscience able to explain human behaviour and experience? These are the questions that are addressed in this "Beginner's Guide to Cognitive neuroscience and it's relation to the Body-Mind question".

The Problem of Freedom in Norbert Elias in Dialogue with the Neurosciences [ENG

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Joan Lacomba

2013-01-01

Full Text Available This paper focuses on the social theory of freedom proposed by Norbert Elias, as opposed to classic philosophical views. Firstly, it analyses the basic features of the metaphysical theories of freedom which Elias rejects. Then the key points on which Norbert Elias?s social theory of freedom is based are developed. Finally, two Eliasian classic empirical examples are briefl y discussed: the cases of Louis XIV and Mozart. The above is intended to show that Elias has a legitimate voice in the current scientifi c debate about freedom, especially within Neuroscience.

Neuroscience in Nazi Europe Part III

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Zeidman, Lawrence A; Kondziella, Daniel

2012-01-01

In Part I, neuroscience collaborators with the Nazis were discussed, and in Part II, neuroscience resistors were discussed. In Part III, we discuss the tragedy regarding european neuroscientists who became victims of the Nazi onslaught on “non-Aryan” doctors. Some of these unfortunate...... of neuroscience, we pay homage and do not allow humanity to forget, lest this dark period in history ever repeat itself....

Neuroscience of Ethics: The State of Art and the Promises for the Future

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Cinara Nahra

2011-12-01

Full Text Available http://dx.doi.org/10.5007/1677-2954.2011v10n1p109 It is widely known that neuroscience research can lead humankind to understand and combat many illnesses or conditions that cause untold suffering around the world such as dementia, Alzheimer’s, depression or stress and can also lead us to achieve considerable improvements in memory, learning abilities, executive functions, moods and in many others areas related to cognition and emotion. In this article I will be focusing specifically on the research related to the neuroscience of ethics. The neuroscience of ethics is an area of neuroethics that is concerned with the understanding of the brains mechanism that are involved in moral cognition and in our ethical (or anti-ethical decisions, and I propose here to expand this concept a little further, defining neuroscience of ethics as the field concerned to the understanding of the brain mechanisms of all main behaviours related to ethics and morality. In this article I identify a set of neuroscience studies that have been published in the last 10 years and that are relevant for ethics, shedding light on behaviours such as altruism, generosity, selfconfidence, trust , altruistic punishment, violence, lying and prejudice, all of them connected somehow to morality. I then discuss how the understanding of each one of these behaviours can benefit society and how we can use this research to help humankind to improve moral standards and promote general happiness.

Social cognitive theory, metacognition, and simulation learning in nursing education.

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Burke, Helen; Mancuso, Lorraine

2012-10-01

Simulation learning encompasses simple, introductory scenarios requiring response to patients' needs during basic hygienic care and during situations demanding complex decision making. Simulation integrates principles of social cognitive theory (SCT) into an interactive approach to learning that encompasses the core principles of intentionality, forethought, self-reactiveness, and self-reflectiveness. Effective simulation requires an environment conducive to learning and introduces activities that foster symbolic coding operations and mastery of new skills; debriefing builds self-efficacy and supports self-regulation of behavior. Tailoring the level of difficulty to students' mastery level supports successful outcomes and motivation to set higher standards. Mindful selection of simulation complexity and structure matches course learning objectives and supports progressive development of metacognition. Theory-based facilitation of simulated learning optimizes efficacy of this learning method to foster maturation of cognitive processes of SCT, metacognition, and self-directedness. Examples of metacognition that are supported through mindful, theory-based implementation of simulation learning are provided. Copyright 2012, SLACK Incorporated.

[Social neuroscience and psychiatry].

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Takahashi, Hidehiko

2013-01-01

The topics of emotion, decision-making, and consciousness have been traditionally dealt with in the humanities and social sciences. With the dissemination of noninvasive human neuroimaging techniques such as fMRI and the advancement of cognitive science, neuroimaging studies focusing on emotions, social cognition, and decision-making have become established. I overviewed the history of social neurosciences. The emerging field of social brain research or social neuroscience will greatly contribute to clinical psychiatry. In the first part. I introduced our early fMRI studies on social emotions such as guilt, embarrassment, pride, and envy. Dysfunction of social emotions can be observed in various forms of psychiatric disorder, and the findings should contribute to a better understanding of the pathophysiology of psychiatric conditions. In the second part, I introduced our recent interdisciplinary neuroscience approach combining molecular neuroimaging techniques(positron emission tomography: PET), cognitive sciences, and economics to understand the neural as well as molecular basis of altered decision-making in neuropsychiatric disorders. An interdisciplinary approach combing molecular imaging techniques and cognitive neuroscience and clinical psychiatry will provide new perspectives for understanding the neurobiology of impaired decision-making in neuropsychiatric disorders and drug development.

Neuroscience Knowledge Among Athletic Training Professional Programs

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Douglas M. Seavey

2016-05-01

programs (91.2% of the total 336 professional programs. Anatomy (91.59%, physiology (88.35% and exercise physiology (92.56% were most frequently required basic science courses. However, only 4.85% (n=15 of programs have human gross anatomy dissection or prosection in their curricula and just 2.59% (n=8 of athletic training programs require a course in neuroscience/neuroanatomy. Conclusions: Our data demonstrates a gap exists in athletic training education in the area of neuroanatomy/neuroscience content. The BRAIN ( Brain Research through Advancing Innovative Neurotechnologies Initiative is new federal research and healthcare task-force aimed at revolutionizing the understanding of the human brain. The Sports and Health Research Program is a partnership between the National Institutes of Health and the National Football League to fund sport concussion research. With the future professional degree change eminent, professional and post-professional athletic training education must seriously consider the inclusion of neuroanatomy content. We present several wet-brain specimen and active learning laboratory options that educators may adopt to provide added depth toneuroscience/neuroanatomy knowledge base.

Mathematical and theoretical neuroscience cell, network and data analysis

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Nieus, Thierry

2017-01-01

This volume gathers contributions from theoretical, experimental and computational researchers who are working on various topics in theoretical/computational/mathematical neuroscience. The focus is on mathematical modeling, analytical and numerical topics, and statistical analysis in neuroscience with applications. The following subjects are considered: mathematical modelling in Neuroscience, analytical  and numerical topics;  statistical analysis in Neuroscience; Neural Networks; Theoretical Neuroscience. The book is addressed to researchers involved in mathematical models applied to neuroscience.

Cognitive-Behavioral Therapy and Neuroscience: Towards Closer Integration

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Nataša Jokić-Begić

2010-12-01

Full Text Available The aim of this review article is to provide an integrative perspective by combining basic assumptions of cognitive behavioral therapy (CBT with neuroscience research results. In recent years, interdisciplinary research in the field of neuroscience has expanded our knowledge about neurobiological correlates of mental processes and changes occurring in the brain due to therapeutic interventions. The studies are largely based on non-invasive brain imaging techniques, such as functional neuroimaging technologies of positron emission tomography (PET and functional magnetic resonance imaging (fMRI. The neuroscientific investigations of basic CBT hypotheses have shown that (i functional and non-functional behavior and experiences may be learned through lifelong learning, due to brain neuroplasticity that continues across the entire lifespan; (ii cognitive activity contributes to dysfunctional behavior and emotional experience through focusing, selective perception, memory and recall, and characteristic cognitive distortion; on a neurobiological level, there is a relationship between top-down and bottom-up regulation of unpleasant emotional states; and (iii cognitive activity may be changed, as shown by therapeutic success achieved by metacognitive and mindfulness techniques, which also have their neurobiological correlates in the changes occurring in the cortical and subcortical structures and endocrine and immune systems. The empirical research also shows that neurobiological changes occur after CBT in patients with arachnophobia, obsessive-compulsive disorder, panic disorder, social phobia, major depressive disorder and chronic fatigue syndrome.disorder and chronic fatigue syndrome.

An Interpretation of Dewey's Experiential Learning Theory.

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Roberts, T. Grady

"Experience and Education" (John Dewey, 1938) serves as a foundation piece of literature when discussing experiential learning. To facilitate a better understanding, a conceptual model was developed. In John Dewey's experiential learning theory, everything occurs within a social environment. Knowledge is socially constructed and based on…

Utilizing Kolb’s Experiential Learning Theory to Implement a Golf Scramble

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Glenna G. Bower

2013-01-01

This study introduced how Kolb’s Experiential Learning Theory was used across the four-mode learning cycle of abstract conceptualization, active experimentation, concrete experience and reflective observation as a pedagogical tool for implementing a golf scramble. The primary research question was to see whether Kolb’s Experiential Learning Theory four-mode learning cycle was an effective means for implementing a the golf scramble. The participants of the experiential learning experience wer...

Gallery Educators as Adult Learners: The Active Application of Adult Learning Theory

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McCray, Kimberly H.

2016-01-01

In order to better understand the importance of adult learning theory to museum educators' work, and that of their profession at large, museum professionals must address the need for more adult learning research and practice in museums--particularly work informed by existing theory and work seeking to generate new theory. Adult learning theory…

Virtual Learning Environments: A View from the Theory of Conceptual Fields

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Iralí Araque

2018-01-01

Full Text Available The inclusion of communication and information technologies for formative purposes has given way to virtual learning environments, which, backed by constructivist theories, provide a theoretical and methodological framework, thus contributing to the cognitive development of students at university level, evidenced in the development of their learning schemes. The theory of conceptual fields offers an analysis of the elements of schemas and the process of knowledge construction. In this sense, the present work had as objective to raise some elements, such as teaching methodology, didactic strategies, materials and resources for learning, teacher and student roles, which should be considered in the design of virtual learning environments, in the light of the theory of conceptual fields, so as to enhance the construction of knowledge and where the emphasis of the educational process lies on learning rather than teaching. The methodology used is a documentary study, type descriptive, based on the review and bibliographical analysis of constructivist theories, as well as researchers related to the design and construction of virtual learning environments. The results show that conceptual fields theory is an excellent option to consider, as a constructivist theory, in order to consolidate the process of knowledge construction, from the individual to the collective.

Can Neuroscience Construct a Literate Gendered Culture?

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Whitehead, David

2011-01-01

The construction of boys as a gendered culture is not usually associated with neuroscience. Exceptions are publications and presentations by consultants on boys' education who adopt a "brain-based" perspective. From a neuroscience perspective, my analysis indicates the selective use of primary neuroscience research to construct and perpetuate…

Cooperative Learning: Improving University Instruction by Basing Practice on Validated Theory

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Johnson, David W.; Johnson, Roger T.; Smith, Karl A.

2014-01-01

Cooperative learning is an example of how theory validated by research may be applied to instructional practice. The major theoretical base for cooperative learning is social interdependence theory. It provides clear definitions of cooperative, competitive, and individualistic learning. Hundreds of research studies have validated its basic…

Observational attachment theory-based parenting measures predict children's attachment narratives independently from social learning theory-based measures.

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Matias, Carla; O'Connor, Thomas G; Futh, Annabel; Scott, Stephen

2014-01-01

Conceptually and methodologically distinct models exist for assessing quality of parent-child relationships, but few studies contrast competing models or assess their overlap in predicting developmental outcomes. Using observational methodology, the current study examined the distinctiveness of attachment theory-based and social learning theory-based measures of parenting in predicting two key measures of child adjustment: security of attachment narratives and social acceptance in peer nominations. A total of 113 5-6-year-old children from ethnically diverse families participated. Parent-child relationships were rated using standard paradigms. Measures derived from attachment theory included sensitive responding and mutuality; measures derived from social learning theory included positive attending, directives, and criticism. Child outcomes were independently-rated attachment narrative representations and peer nominations. Results indicated that Attachment theory-based and Social Learning theory-based measures were modestly correlated; nonetheless, parent-child mutuality predicted secure child attachment narratives independently of social learning theory-based measures; in contrast, criticism predicted peer-nominated fighting independently of attachment theory-based measures. In young children, there is some evidence that attachment theory-based measures may be particularly predictive of attachment narratives; however, no single model of measuring parent-child relationships is likely to best predict multiple developmental outcomes. Assessment in research and applied settings may benefit from integration of different theoretical and methodological paradigms.

Sustainability of healthcare improvement: what can we learn from learning theory?

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Hovlid Einar

2012-08-01

Full Text Available Abstract Background Changes that improve the quality of health care should be sustained. Falling back to old, unsatisfactory ways of working is a waste of resources and can in the worst case increase resistance to later initiatives to improve care. Quality improvement relies on changing the clinical system yet factors that influence the sustainability of quality improvements are poorly understood. Theoretical frameworks can guide further research on the sustainability of quality improvements. Theories of organizational learning have contributed to a better understanding of organizational change in other contexts. To identify factors contributing to sustainability of improvements, we use learning theory to explore a case that had displayed sustained improvement. Methods Førde Hospital redesigned the pathway for elective surgery and achieved sustained reduction of cancellation rates. We used a qualitative case study design informed by theory to explore factors that contributed to sustain the improvements at Førde Hospital. The model Evidence in the Learning Organization describes how organizational learning contributes to change in healthcare institutions. This model constituted the framework for data collection and analysis. We interviewed a strategic sample of 20 employees. The in-depth interviews covered themes identified through our theoretical framework. Through a process of coding and condensing, we identified common themes that were interpreted in relation to our theoretical framework. Results Clinicians and leaders shared information about their everyday work and related this knowledge to how the entire clinical pathway could be improved. In this way they developed a revised and deeper understanding of their clinical system and its interdependencies. They became increasingly aware of how different elements needed to interact to enhance the performance and how their own efforts could contribute. Conclusions The improved understanding of

Sustainability of healthcare improvement: what can we learn from learning theory?

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Hovlid, Einar; Bukve, Oddbjørn; Haug, Kjell; Aslaksen, Aslak Bjarne; von Plessen, Christian

2012-08-03

Changes that improve the quality of health care should be sustained. Falling back to old, unsatisfactory ways of working is a waste of resources and can in the worst case increase resistance to later initiatives to improve care. Quality improvement relies on changing the clinical system yet factors that influence the sustainability of quality improvements are poorly understood. Theoretical frameworks can guide further research on the sustainability of quality improvements. Theories of organizational learning have contributed to a better understanding of organizational change in other contexts. To identify factors contributing to sustainability of improvements, we use learning theory to explore a case that had displayed sustained improvement. Førde Hospital redesigned the pathway for elective surgery and achieved sustained reduction of cancellation rates. We used a qualitative case study design informed by theory to explore factors that contributed to sustain the improvements at Førde Hospital. The model Evidence in the Learning Organization describes how organizational learning contributes to change in healthcare institutions. This model constituted the framework for data collection and analysis. We interviewed a strategic sample of 20 employees. The in-depth interviews covered themes identified through our theoretical framework. Through a process of coding and condensing, we identified common themes that were interpreted in relation to our theoretical framework. Clinicians and leaders shared information about their everyday work and related this knowledge to how the entire clinical pathway could be improved. In this way they developed a revised and deeper understanding of their clinical system and its interdependencies. They became increasingly aware of how different elements needed to interact to enhance the performance and how their own efforts could contribute. The improved understanding of the clinical system represented a change in mental models of

An instance theory of associative learning.

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Jamieson, Randall K; Crump, Matthew J C; Hannah, Samuel D

2012-03-01

We present and test an instance model of associative learning. The model, Minerva-AL, treats associative learning as cued recall. Memory preserves the events of individual trials in separate traces. A probe presented to memory contacts all traces in parallel and retrieves a weighted sum of the traces, a structure called the echo. Learning of a cue-outcome relationship is measured by the cue's ability to retrieve a target outcome. The theory predicts a number of associative learning phenomena, including acquisition, extinction, reacquisition, conditioned inhibition, external inhibition, latent inhibition, discrimination, generalization, blocking, overshadowing, overexpectation, superconditioning, recovery from blocking, recovery from overshadowing, recovery from overexpectation, backward blocking, backward conditioned inhibition, and second-order retrospective revaluation. We argue that associative learning is consistent with an instance-based approach to learning and memory.

The cognitive neuroscience of remote episodic, semantic and spatial memory.

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Moscovitch, Morris; Nadel, Lynn; Winocur, Gordon; Gilboa, Asaf; Rosenbaum, R Shayna

2006-04-01

The processes and mechanisms implicated in retention and retrieval of memories as they age is an enduring problem in cognitive neuroscience. Research from lesion and functional neuroimaging studies on remote episodic, semantic and spatial memory in humans is crucial for evaluating three theories of hippocampal and/or medial temporal lobe-neocortical interaction in memory retention and retrieval: cognitive map theory, standard consolidation theory and multiple trace theory. Each theory makes different predictions regarding first, the severity and extent of retrograde amnesia following lesions to some or all of the structures mentioned; second, the extent of activation of these structures to retrieval of memory across time; and third, the type of memory being retrieved. Each of these theories has strengths and weaknesses, and there are various unresolved issues. We propose a unified account based on multiple trace theory. This theory states that the hippocampus is needed for re-experiencing detailed episodic and spatial memories no matter how old they are, and that it contributes to the formation and assimilation of semantic memories and schematic spatial maps.

Concept-Based Learning in Clinical Experiences: Bringing Theory to Clinical Education for Deep Learning.

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Nielsen, Ann

2016-07-01

Concept-based learning is used increasingly in nursing education to support the organization, transfer, and retention of knowledge. Concept-based learning activities (CBLAs) have been used in clinical education to explore key aspects of the patient situation and principles of nursing care, without responsibility for total patient care. The nature of best practices in teaching and the resultant learning are not well understood. The purpose of this multiple-case study research was to explore and describe concept-based learning in the context of clinical education in inpatient settings. Four clinical groups (each a case) were observed while they used CBLAs in the clinical setting. Major findings include that concept-based learning fosters deep learning, connection of theory with practice, and clinical judgment. Strategies used to support learning, major teaching-learning foci, and preconditions for concept-based teaching and learning will be described. Concept-based learning is promising to support integration of theory with practice and clinical judgment through application experiences with patients. [J Nurs Educ. 2016;55(7):365-371.]. Copyright 2016, SLACK Incorporated.

Cognitive Neuroscience Meets Mathematics Education

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De Smedt, Bert; Ansari, Daniel; Grabner, Roland H.; Hannula, Minna M.; Schneider, Michael; Verschaffel, Lieven

2010-01-01

While there has been much theoretical debate concerning the relationship between neuroscience and education, researchers have started to collaborate across both disciplines, giving rise to the interdisciplinary research field of neuroscience and education. The present contribution tries to reflect on the challenges of this new field of empirical…

Situated learning theory: adding rate and complexity effects via Kauffman's NK model.

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Yuan, Yu; McKelvey, Bill

2004-01-01

For many firms, producing information, knowledge, and enhancing learning capability have become the primary basis of competitive advantage. A review of organizational learning theory identifies two approaches: (1) those that treat symbolic information processing as fundamental to learning, and (2) those that view the situated nature of cognition as fundamental. After noting that the former is inadequate because it focuses primarily on behavioral and cognitive aspects of individual learning, this paper argues the importance of studying learning as interactions among people in the context of their environment. It contributes to organizational learning in three ways. First, it argues that situated learning theory is to be preferred over traditional behavioral and cognitive learning theories, because it treats organizations as complex adaptive systems rather than mere information processors. Second, it adds rate and nonlinear learning effects. Third, following model-centered epistemology, it uses an agent-based computational model, in particular a "humanized" version of Kauffman's NK model, to study the situated nature of learning. Using simulation results, we test eight hypotheses extending situated learning theory in new directions. The paper ends with a discussion of possible extensions of the current study to better address key issues in situated learning.

Learning theories 101: application to everyday teaching and scholarship.

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Kay, Denise; Kibble, Jonathan

2016-03-01

Shifts in educational research, in how scholarship in higher education is defined, and in how funding is appropriated suggest that educators within basic science fields can benefit from increased understanding of learning theory and how it applies to classroom practice. This article uses a mock curriculum design scenario as a framework for the introduction of five major learning theories. Foundational constructs and principles from each theory and how they apply to the proposed curriculum designs are described. A summative table that includes basic principles, constructs, and classroom applications as well as the role of the teacher and learner is also provided for each theory. Copyright © 2016 The American Physiological Society.

The Impact of Cognitive Load Theory on Learning Astronomy

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Foster, Thomas M.

2010-01-01

Every student is different, which is the challenge of astronomy education research (AER) and teaching astronomy. This difference also provides the greatest goal for education researchers - our GUT - we need to be able to quantify these differences and provide explanatory and predictive theories to curriculum developers and teachers. One educational theory that holds promise is Cognitive Load Theory. Cognitive Load Theory begins with the well-established fact that everyone's working memory can hold 7 ± 2 unique items. This quirk of the human brain is why phone numbers are 7 digits long. This quirk is also why we forget peoples’ names after just meeting them, leave the iron on when we leave the house, and become overwhelmed as students of new material. Once the intricacies of Cognitive Load are understood, it becomes possible to design learning environments to marshal the resources students have and guide them to success. Lessons learned from Cognitive Load Theory can and should be applied to learning astronomy. Classroom-ready ideas will be presented.

A Critical Comparison of Transformation and Deep Approach Theories of Learning

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Howie, Peter; Bagnall, Richard

2015-01-01

This paper reports a critical comparative analysis of two popular and significant theories of adult learning: the transformation and the deep approach theories of learning. These theories are operative in different educational sectors, are significant, respectively, in each, and they may be seen as both touching on similar concerns with learning…

Social Influence on Positive Youth Development: A Developmental Neuroscience Perspective.

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Telzer, Eva H; van Hoorn, Jorien; Rogers, Christina R; Do, Kathy T

2018-01-01

Susceptibility to social influence is associated with a host of negative outcomes during adolescence. However, emerging evidence implicates the role of peers and parents in adolescents' positive and adaptive adjustment. Hence, in this chapter we highlight social influence as an opportunity for promoting social adjustment, which can redirect negative trajectories and help adolescents thrive. We discuss influential models about the processes underlying social influence, with a particular emphasis on internalizing social norms, embedded in social learning and social identity theory. We link this behavioral work to developmental social neuroscience research, rooted in neurobiological models of decision making and social cognition. Work from this perspective suggests that the adolescent brain is highly malleable and particularly oriented toward the social world, which may account for heightened susceptibility to social influences during this developmental period. This chapter underscores the need to leverage social influences during adolescence, even beyond the family and peer context, to promote positive developmental outcomes. By further probing the underlying neural mechanisms as an additional layer to examining social influence on positive youth development, we will be able to gain traction on our understanding of this complex phenomenon. © 2018 Elsevier Inc. All rights reserved.

Neuroscience and humanistic psychiatry: a residency curriculum.

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Griffith, James L

2014-04-01

Psychiatry residencies with a commitment to humanism commonly prioritize training in psychotherapy, cultural psychiatry, mental health policy, promotion of human rights, and similar areas reliant upon dialogue and collaborative therapeutic relationships. The advent of neuroscience as a defining paradigm for psychiatry has challenged residencies with a humanistic focus due to common perceptions that it would entail constriction of psychiatric practice to diagnostic and psychopharmacology roles. The author describes a neuroscience curriculum that has taught psychopharmacology effectively, while also advancing effectiveness of language-based and relationship-based therapeutics. In 2000, the George Washington University psychiatry residency initiated a neuroscience curriculum consisting of (1) a foundational postgraduate year 2 seminar teaching cognitive and social neuroscience and its integration into clinical psychopharmacology, (2) advanced seminars that utilized a neuroscience perspective in teaching specific psychotherapeutic skill sets, and (3) case-based teaching in outpatient clinical supervisions that incorporated a neuroscience perspective into traditional psychotherapy supervisions. Curricular assessment was conducted by (1) RRC reaccreditation site visit feedback, (2) examining career trajectories of residency graduates, (3) comparing PRITE exam Somatic Treatments subscale scores for 2010-2012 residents with pre-implementation residents, and (4) postresidency survey assessment by 2010-2012 graduates. The 2011 RRC site visit report recommended a "notable practice" citation for "innovative neurosciences curriculum." Three of twenty 2010-2012 graduates entered neuroscience research fellowships, as compared to none before the new curriculum. PRITE Somatic Treatments subscale scores improved from the 23rd percentile to the 62nd percentile in pre- to post-implementation of curriculum (p neuroscience curriculum for a residency committed to humanistic psychiatry

Culture and neuroscience: additive or synergistic?

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Dapretto, Mirella; Iacoboni, Marco

2010-01-01

The investigation of cultural phenomena using neuroscientific methods—cultural neuroscience (CN)—is receiving increasing attention. Yet it is unclear whether the integration of cultural study and neuroscience is merely additive, providing additional evidence of neural plasticity in the human brain, or truly synergistic, yielding discoveries that neither discipline could have achieved alone. We discuss how the parent fields to CN: cross-cultural psychology, psychological anthropology and cognitive neuroscience inform the investigation of the role of cultural experience in shaping the brain. Drawing on well-established methodologies from cross-cultural psychology and cognitive neuroscience, we outline a set of guidelines for CN, evaluate 17 CN studies in terms of these guidelines, and provide a summary table of our results. We conclude that the combination of culture and neuroscience is both additive and synergistic; while some CN methodologies and findings will represent the direct union of information from parent fields, CN studies employing the methodological rigor required by this logistically challenging new field have the potential to transform existing methodologies and produce unique findings. PMID:20083533

Winch on Learning

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Clark, John

2017-01-01

Those in education committed to folk psychology (everyday talk about ourselves) reject the advances of neuroscience as the way to explain learning. Winch is one of the most determined defenders of folk psychology. Yet his account of folk psychology is weak and his rejection of neuroscience is deeply flawed. This article sets out Winch's…

High school students' implicit theories of what facilitates science learning

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Carlton Parsons, Eileen; Miles, Rhea; Petersen, Michael

2011-11-01

Background: Research has primarily concentrated on adults' implicit theories about high quality science education for all students. Little work has considered the students' perspective. This study investigated high school students' implicit theories about what helped them learn science. Purpose: This study addressed (1) What characterizes high school students' implicit theories of what facilitates their learning of science?; (2) With respect to students' self-classifications as African American or European American and female or male, do differences exist in the students' implicit theories? Sample, design and methods: Students in an urban high school located in south-eastern United States were surveyed in 2006 about their thoughts on what helps them learn science. To confirm or disconfirm any differences, data from two different samples were analyzed. Responses of 112 African American and 118 European American students and responses from 297 European American students comprised the data for sample one and two, respectively. Results: Seven categories emerged from the deductive and inductive analyses of data: personal responsibility, learning arrangements, interest and knowledge, communication, student mastery, environmental responsiveness, and instructional strategies. Instructional strategies captured 82% and 80% of the data from sample one and two, respectively; consequently, this category was further subjected to Mann-Whitney statistical analysis at p ethnic differences. Significant differences did not exist for ethnicity but differences between females and males in sample one and sample two emerged. Conclusions: African American and European American students' implicit theories about instructional strategies that facilitated their science learning did not significantly differ but female and male students' implicit theories about instructional strategies that helped them learn science significantly differed. Because students attend and respond to what they think

Theory-based Bayesian models of inductive learning and reasoning.

Science.gov (United States)

Tenenbaum, Joshua B; Griffiths, Thomas L; Kemp, Charles

2006-07-01

Inductive inference allows humans to make powerful generalizations from sparse data when learning about word meanings, unobserved properties, causal relationships, and many other aspects of the world. Traditional accounts of induction emphasize either the power of statistical learning, or the importance of strong constraints from structured domain knowledge, intuitive theories or schemas. We argue that both components are necessary to explain the nature, use and acquisition of human knowledge, and we introduce a theory-based Bayesian framework for modeling inductive learning and reasoning as statistical inferences over structured knowledge representations.

Understanding Self-Controlled Motor Learning Protocols through the Self-Determination Theory.

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Sanli, Elizabeth A; Patterson, Jae T; Bray, Steven R; Lee, Timothy D

2012-01-01

The purpose of the present review was to provide a theoretical understanding of the learning advantages underlying a self-controlled practice context through the tenets of the self-determination theory (SDT). Three micro-theories within the macro-theory of SDT (Basic psychological needs theory, Cognitive Evaluation Theory, and Organismic Integration Theory) are used as a framework for examining the current self-controlled motor learning literature. A review of 26 peer-reviewed, empirical studies from the motor learning and medical training literature revealed an important limitation of the self-controlled research in motor learning: that the effects of motivation have been assumed rather than quantified. The SDT offers a basis from which to include measurements of motivation into explanations of changes in behavior. This review suggests that a self-controlled practice context can facilitate such factors as feelings of autonomy and competence of the learner, thereby supporting the psychological needs of the learner, leading to long term changes to behavior. Possible tools for the measurement of motivation and regulation in future studies are discussed. The SDT not only allows for a theoretical reinterpretation of the extant motor learning research supporting self-control as a learning variable, but also can help to better understand and measure the changes occurring between the practice environment and the observed behavioral outcomes.

Understanding self-controlled motor learning protocols through the self determination theory

Directory of Open Access Journals (Sweden)

Elizabeth Ann Sanli

2013-01-01

Full Text Available The purpose of the present review was to provide a theoretical understanding of the learning advantages underlying a self-controlled practice context through the tenets of the self-determination theory (SDT. Three micro theories within the macro theory of SDT (Basic psychological needs theory, Cognitive Evaluation Theory & Organismic Integration Theory are used as a framework for examining the current self-controlled motor learning literature. A review of 26 peer-reviewed, empirical studies from the motor learning and medical training literature revealed an important limitation of the self-controlled research in motor learning: that the effects of motivation have been assumed rather than quantified. The SDT offers a basis from which to include measurements of motivation into explanations of changes in behavior. This review suggests that a self-controlled practice context can facilitate such factors as feelings of autonomy and competence of the learner, thereby supporting the psychological needs of the learner, leading to long term changes to behavior. Possible tools for the measurement of motivation and regulation in future studies are discussed. The SDT not only allows for a theoretical reinterpretation of the extant motor learning research supporting self-control as a learning variable, but also can help to better understand and measure the changes occurring between the practice environment and the observed behavioral outcomes.

Cognitive Theory of Multimedia Learning, Instructional Design Principles, and Students with Learning Disabilities in Computer-Based and Online Learning Environments

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Greer, Diana L.; Crutchfield, Stephen A.; Woods, Kari L.

2013-01-01

Struggling learners and students with Learning Disabilities often exhibit unique cognitive processing and working memory characteristics that may not align with instructional design principles developed with typically developing learners. This paper explains the Cognitive Theory of Multimedia Learning and underlying Cognitive Load Theory, and…

Implications of learning theory for developing programs to decrease overeating.

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Boutelle, Kerri N; Bouton, Mark E

2015-10-01

Childhood obesity is associated with medical and psychological comorbidities, and interventions targeting overeating could be pragmatic and have a significant impact on weight. Calorically dense foods are easily available, variable, and tasty which allows for effective opportunities to learn to associate behaviors and cues in the environment with food through fundamental conditioning processes, resulting in measurable psychological and physiological food cue reactivity in vulnerable children. Basic research suggests that initial learning is difficult to erase, and that it is vulnerable to a number of phenomena that will allow the original learning to re-emerge after it is suppressed or replaced. These processes may help explain why it may be difficult to change food cue reactivity and overeating over the long term. Extinction theory may be used to develop effective cue-exposure treatments to decrease food cue reactivity through inhibitory learning, although these processes are complex and require an integral understanding of the theory and individual differences. Additionally, learning theory can be used to develop other interventions that may prove to be useful. Through an integration of learning theory, basic and translational research, it may be possible to develop interventions that can decrease the urges to overeat, and improve the weight status of children. Copyright © 2015 Elsevier Ltd. All rights reserved.

Evaluating theories of bird song learning: implications for future directions.

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Margoliash, D

2002-12-01

Studies of birdsong learning have stimulated extensive hypotheses at all levels of behavioral and physiological organization. This hypothesis building is valuable for the field and is consistent with the remarkable range of issues that can be rigorously addressed in this system. The traditional instructional (template) theory of song learning has been challenged on multiple fronts, especially at a behavioral level by evidence consistent with selectional hypotheses. In this review I highlight the caveats associated with these theories to better define the limits of our knowledge and identify important experiments for the future. The sites and representational forms of the various conceptual entities posited by the template theory are unknown. The distinction between instruction and selection in vocal learning is not well established at a mechanistic level. There is as yet insufficient neurophysiological data to choose between competing mechanisms of error-driven learning and reinforcement learning. Both may obtain for vocal learning. The possible role of sleep in acoustic or procedural memory consolidation, while supported by some physiological observations, does not yet have support in the behavioral literature. The remarkable expansion of knowledge in the past 20 years and the recent development of new technologies for physiological and behavioral experiments should permit direct tests of these theories in the coming decade.

Toward an Instructionally Oriented Theory of Example-Based Learning

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Renkl, Alexander

2014-01-01

Learning from examples is a very effective means of initial cognitive skill acquisition. There is an enormous body of research on the specifics of this learning method. This article presents an instructionally oriented theory of example-based learning that integrates theoretical assumptions and findings from three research areas: learning from…

Neuromarketing and consumer neuroscience: contributions to neurology.

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Javor, Andrija; Koller, Monika; Lee, Nick; Chamberlain, Laura; Ransmayr, Gerhard

2013-02-06

'Neuromarketing' is a term that has often been used in the media in recent years. These public discussions have generally centered around potential ethical aspects and the public fear of negative consequences for society in general, and consumers in particular. However, positive contributions to the scientific discourse from developing a biological model that tries to explain context-situated human behavior such as consumption have often been neglected. We argue for a differentiated terminology, naming commercial applications of neuroscientific methods 'neuromarketing' and scientific ones 'consumer neuroscience'. While marketing scholars have eagerly integrated neuroscientific evidence into their theoretical framework, neurology has only recently started to draw its attention to the results of consumer neuroscience. In this paper we address key research topics of consumer neuroscience that we think are of interest for neurologists; namely the reward system, trust and ethical issues. We argue that there are overlapping research topics in neurology and consumer neuroscience where both sides can profit from collaboration. Further, neurologists joining the public discussion of ethical issues surrounding neuromarketing and consumer neuroscience could contribute standards and experience gained in clinical research. We identify the following areas where consumer neuroscience could contribute to the field of neurology:First, studies using game paradigms could help to gain further insights into the underlying pathophysiology of pathological gambling in Parkinson's disease, frontotemporal dementia, epilepsy, and Huntington's disease.Second, we identify compulsive buying as a common interest in neurology and consumer neuroscience. Paradigms commonly used in consumer neuroscience could be applied to patients suffering from Parkinson's disease and frontotemporal dementia to advance knowledge of this important behavioral symptom.Third, trust research in the medical context lacks

Personalised Learning Object System Based on Self-Regulated Learning Theories

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Ali Alharbi

2014-06-01

Full Text Available Self-regulated learning has become an important construct in education research in the last few years. Selfregulated learning in its simple form is the learner’s ability to monitor and control the learning process. There is increasing research in the literature on how to support students become more self-regulated learners. However, the advancement in the information technology has led to paradigm changes in the design and development of educational content. The concept of learning object instructional technology has emerged as a result of this shift in educational technology paradigms. This paper presents the results of a study that investigated the potential educational effectiveness of a pedagogical framework based on the self-regulated learning theories to support the design of learning object systems to help computer science students. A prototype learning object system was developed based on the contemporary research on self-regulated learning. The system was educationally evaluated in a quasi-experimental study over two semesters in a core programming languages concepts course. The evaluation revealed that a learning object system that takes into consideration contemporary research on self-regulated learning can be an effective learning environment to support computer science education.

Culture in social neuroscience: a review.

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Rule, Nicholas O; Freeman, Jonathan B; Ambady, Nalini

2013-01-01

The aim of this review is to highlight an emerging field: the neuroscience of culture. This new field links cross-cultural psychology with cognitive neuroscience across fundamental domains of cognitive and social psychology. We present a summary of studies on emotion, perspective-taking, memory, object perception, attention, language, and the self, showing cultural differences in behavior as well as in neural activation. Although it is still nascent, the broad impact of merging the study of culture with cognitive neuroscience holds mutual distributed benefits for multiple related fields. Thus, cultural neuroscience may be uniquely poised to provide insights and breakthroughs for longstanding questions and problems in the study of behavior and thought, and its capacity for integration across multiple levels of analysis is especially high. These findings attest to the plasticity of the brain and its adaptation to cultural contexts.

Implementation of an Integrated Neuroscience Unit.

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Breslin, Rory P; Franker, Lauren; Sterchi, Suzanne; Sani, Sepehr

2016-02-01

Many challenges exist in today's health care delivery system, and much focus and research are invested into ways to improve care with cost-effective measures. Specialty-specific dedicated care units are one solution for inpatient hospital care because they improve outcomes and decrease mortality. The neuroscience population encompasses a wide variety of diagnoses of spinal to cranial issues with a wide spectrum of needs varying from one patient to the next. Neuroscience care must be patient-specific during the course of frequent acuity changes, and one way to achieve this is through a neuroscience-focused unit. Few resources are available on how to implement this type of unit. Advanced practice nurses are committed to providing high-quality, safe, and cost-effective care and are instrumental in the success of instituting a unit dedicated to the care of neuroscience patients.

Early Learning Theories Made Visible

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Beloglovsky, Miriam; Daly, Lisa

2015-01-01

Go beyond reading about early learning theories and see what they look like in action in modern programs and teacher practices. With classroom vignettes and colorful photographs, this book makes the works of Jean Piaget, Erik Erikson, Lev Vygotsky, Abraham Maslow, John Dewey, Howard Gardner, and Louise Derman-Sparks visible, accessible, and easier…

Systems Neuroscience of Psychosis: Mapping Schizophrenia Symptoms onto Brain Systems.

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Strik, Werner; Stegmayer, Katharina; Walther, Sebastian; Dierks, Thomas

2017-01-01

Schizophrenia research has been in a deadlock for many decades. Despite important advances in clinical treatment, there are still major concerns regarding long-term psychosocial reintegration and disease management, biological heterogeneity, unsatisfactory predictors of individual course and treatment strategies, and a confusing variety of controversial theories about its etiology and pathophysiological mechanisms. In the present perspective on schizophrenia research, we first discuss a methodological pitfall in contemporary schizophrenia research inherent in the attempt to link mental phenomena with the brain: we claim that the time-honored phenomenological method of defining mental symptoms should not be contaminated with the naturalistic approach of modern neuroscience. We then describe our Systems Neuroscience of Psychosis (SyNoPsis) project, which aims to overcome this intrinsic problem of psychiatric research. Considering schizophrenia primarily as a disorder of interindividual communication, we developed a neurobiologically informed semiotics of psychotic disorders, as well as an operational clinical rating scale. The novel psychopathology allows disentangling the clinical manifestations of schizophrenia into behavioral domains matching the functions of three well-described higher-order corticobasal brain systems involved in interindividual human communication, namely, the limbic, associative, and motor loops, including their corticocortical sensorimotor connections. The results of several empirical studies support the hypothesis that the proposed three-dimensional symptom structure, segregated into the affective, the language, and the motor domain, can be specifically mapped onto structural and functional abnormalities of the respective brain systems. New pathophysiological hypotheses derived from this brain system-oriented approach have helped to develop and improve novel treatment strategies with noninvasive brain stimulation and practicable clinical

Reflections on Empathy in Medical Education: What Can We Learn from Social Neurosciences?

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Preusche, Ingrid; Lamm, Claus

2016-01-01

The role of empathy in human social interaction has been examined in several research fields, including medical education (ME) and social neuroscience (SN). SN yields insights into empathy based on neurobiological processes, and such information may also be relevant to ME. In this reflection article, the authors first critically review current…

A geographical history of social cognitive neuroscience.

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Lieberman, Matthew D

2012-06-01

The history of social cognitive neuroscience (SCN) began with isolated islands of research in Europe and the United States in the 1990s. In the decade between 1995 and 2004 most of the major areas of current SCN research were identified in a series of high profile first studies. This paper reviews the timeline as well as the geography of important moments in the short history of this field. Of note is the different focus seen in European contributions (theory of mind, mirror neurons, and empathy) and the more self-focused U.S. contributions (self-knowledge, emotion regulation, implicit attitudes). Copyright © 2012 Elsevier Inc. All rights reserved.

An Overview of the History of Learning Theory

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Illeris, Knud

2018-01-01

This article is an account of the history of learning theory as the author has come to know and interpret it by dealing with this subject for almost half a century during which he has also himself gradually developed the broad understanding of human learning which is presented in his well known books on "How We Learn" and a lot of other…

Learning Styles of Baccalaureate Nursing Students and Attitudes toward Theory-Based Nursing.

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Laschinger, Heather K.; Boss, Marvin K.

1989-01-01

The personal and environmental factors related to undergraduate and post-RN nursing students' attitudes toward theory-based nursing from Kolb's experiential learning theory perspective were investigated. Learning style and environmental press perceptions were found to be related to attitudes toward theory-based nursing. (Author/MLW)

The Development of a Comprehensive and Coherent Theory of Learning

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Illeris, Knud

2015-01-01

This article is an account of how the author developed a comprehensive understanding of human learning over a period of almost 50 years. The learning theory includes the structure of learning, different types of learning, barriers of learning as well as how individual dispositions, age, the learning environment and general social and societal…

Strategies for application of learning theories in art studio practices ...

African Journals Online (AJOL)

This study highlights the link between learning theories and art studio practices. The paper is of the opinion that if these theories are critically understood and applied to the practical aspect of fine and applied arts then learning will be more functional. Nigerian Journal of Technology and Education in Nigeria Vol. 8(1) 2003: ...

From Theory Use to Theory Building in Learning Analytics: A Commentary on "Learning Analytics to Support Teachers during Synchronous CSCL"

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Chen, Bodong

2015-01-01

In this commentary on Van Leeuwen (2015, this issue), I explore the relation between theory and practice in learning analytics. Specifically, I caution against adhering to one specific theoretical doctrine while ignoring others, suggest deeper applications of cognitive load theory to understanding teaching with analytics tools, and comment on…

How neuroscience will change our view on consciousness.

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Lamme, Victor A F

2010-09-01

Is there consciousness in machines? Or in animals? What happens to consciousness when we are asleep, or in vegetative state? These are just a few examples of the many questions about consciousness that are troubling scientists and laypersons alike. Moreover, these questions share a striking feature: They seem to have been around forever, yet neither science nor philosophy has been able to provide an answer. Why is that? In my view, the main reason is that the study of consciousness is dominated by what we know from introspection and behavior. This has fooled us into thinking that we know what we are conscious of. The scientific equivalent of this is Global Workspace theory. But in fact we don't know what we are conscious of, as I will explain from a simple experiment in visual perception. Once we acknowledge that, it is clear that we need other evidence about the presence or absence of a conscious sensation than introspection or behavior. Assuming the brain has something to do with it, I will demonstrate how arguments from neuroscience, together with theoretical and ontological arguments, can help us resolve what the exact nature of our conscious sensation is. It turns out that we see much more than we think, and that Global Workspace theory is all about access but not about seeing. The exercise is an example of how neuroscience will move us away from psychological intuitions about consciousness, and hence depict a notion of consciousness that may go against our deepest conviction: "My consciousness is mine, and mine alone." It's not.

Complexity Theory and CALL Curriculum in Foreign Language Learning

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Hassan Soleimani

2014-05-01

Full Text Available Complexity theory literally indicates the complexity of a system, behavior, or a process. Its connotative meaning, while, implies dynamism, openness, sensitivity to initial conditions and feedback, and adaptation properties of a system. Regarding English as a Foreign/ Second Language (EFL/ESL this theory emphasizes on the complexity of the process of teaching and learning, including all the properties of a complex system. The purpose of the current study is to discuss the role of CALL as a modern technology in simplifying the process of teaching and learning a new language while integrating into the complexity theory. Nonetheless, the findings obtained from reviewing previously conducted studies in this field confirmed the usefulness of CALL curriculum in EFL/ESL contexts. These findings can also provide pedagogical implications for employing computer as an effective teaching and learning tool.

Conformal prediction for reliable machine learning theory, adaptations and applications

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Balasubramanian, Vineeth; Vovk, Vladimir

2014-01-01

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detecti

Shaping a valued learning journey: Student satisfaction with learning in undergraduate nursing programs, a grounded theory study.

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Smith, Morgan R; Grealish, Laurie; Henderson, Saras

2018-05-01

Student satisfaction is a quality measure of increasing importance in undergraduate programs, including nursing programs. To date theories of student satisfaction have focused primarily on students' perceptions of the educational environment rather than their perceptions of learning. Understanding how students determine satisfaction with learning is necessary to facilitate student learning across a range of educational contexts and meet the expectations of diverse stakeholders. To understand undergraduate nursing students' satisfaction with learning. Constructivist grounded theory methodology was used to identify how nursing students determined satisfaction with learning. Two large, multi-campus, nursing schools in Australia. Seventeen demographically diverse undergraduate nursing students studying different stages of a three year program participated in the study. Twenty nine semi-structured interviews were conducted. Students were invited to describe situations where they had been satisfied or dissatisfied with their learning. A constructivist grounded theory approach was used to analyse the data. Students are satisfied with learning when they shape a valued learning journey that accommodates social contexts of self, university and nursing workplace. The theory has three phases. Phase 1 - orienting self to valued learning in the pedagogical landscape; phase 2 - engaging with valued learning experiences across diverse pedagogical terrain; and phase 3 - recognising valued achievement along the way. When students experience a valued learning journey they are satisfied with their learning. Student satisfaction with learning is unique to the individual, changes over time and maybe transient or sustained, mild or intense. Finding from the research indicate areas where nurse academics may facilitate satisfaction with learning in undergraduate nursing programs while mindful of the expectations of other stakeholders such as the university, nurse registering authorities

Employee Learning Theories and Their Organizational Applications

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Abdussalaam Iyanda Ismail

2017-12-01

Full Text Available Empirical evidence identifies that organizational success hinges on employees with the required knowledge, skills, and abilities and that employees’ effectiveness at learning new skills and knowledge is connected with the kind of learning technique the organization adopts. Given this, this work explored employee learning theories and their organizational applications. Using far reaching literature survey and extensive theoretical and logical argument and exposition. This paper revealed that cognitive-based approaches, non-cognitive approach and need-based approaches play vital roles in shrinking the occurrence of unwanted behaviors and upturning the occurrence of desired behaviors in the organization. Proper application of the theories can induce positive employee behaviors such as task performance and organizational citizenship behavior and consequently enhance both individual and organizational performance. This work has hopefully contributed to the enrichment of the existing relevant literature and served as a useful guide for stakeholders on how they can stimulate positive employee behaviors and the consequent enhanced organizational performance.

Mean-field theory of meta-learning

International Nuclear Information System (INIS)

Plewczynski, Dariusz

2009-01-01

We discuss here the mean-field theory for a cellular automata model of meta-learning. Meta-learning is the process of combining outcomes of individual learning procedures in order to determine the final decision with higher accuracy than any single learning method. Our method is constructed from an ensemble of interacting, learning agents that acquire and process incoming information using various types, or different versions, of machine learning algorithms. The abstract learning space, where all agents are located, is constructed here using a fully connected model that couples all agents with random strength values. The cellular automata network simulates the higher level integration of information acquired from the independent learning trials. The final classification of incoming input data is therefore defined as the stationary state of the meta-learning system using simple majority rule, yet the minority clusters that share the opposite classification outcome can be observed in the system. Therefore, the probability of selecting a proper class for a given input data, can be estimated even without the prior knowledge of its affiliation. The fuzzy logic can be easily introduced into the system, even if learning agents are built from simple binary classification machine learning algorithms by calculating the percentage of agreeing agents

Structural Learning Theory: Current Status and New Perspectives.

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Scandura, Joseph M.

2001-01-01

Presents the current status and new perspectives on the Structured Learning Theory (SLT), with special consideration given to how SLT has been influenced by recent research in software engineering. Topics include theoretical constructs; content domains; structural analysis; cognition; assessing behavior potential; and teaching and learning issues,…

Rhetorical ways of thinking Vygotskian theory and mathematical learning

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Albert, Lillie R; Macadino, Vittoria

2012-01-01

Combining Vygotskian theory with current teaching and learning practices, this volume focuses on how the co-construction of learning models the interpretation of a mathematical situation, providing educationalists with a valuable practical methodology.

Applying the neuroscience of creativity to creativity training

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Onarheim, Balder; Friis-Olivarius, Morten

2013-01-01

This article investigates how neuroscience in general, and neuroscience of creativity in particular, can be used in teaching “applied creativity” and the usefulness of this approach to creativity training. The article is based on empirical data and our experiences from the Applied NeuroCreativity (ANC) program, taught at business schools in Denmark and Canada. In line with previous studies of successful creativity training programs the ANC participants are first introduced to cognitive concepts of creativity, before applying these concepts to a relevant real world creative problem. The novelty in the ANC program is that the conceptualization of creativity is built on neuroscience, and a crucial aspect of the course is giving the students a thorough understanding of the neuroscience of creativity. Previous studies have reported that the conceptualization of creativity used in such training is of major importance for the success of the training, and we believe that the neuroscience of creativity offers a novel conceptualization for creativity training. Here we present pre/post-training tests showing that ANC students gained more fluency in divergent thinking (a traditional measure of trait creativity) than those in highly similar courses without the neuroscience component, suggesting that principles from neuroscience can contribute effectively to creativity training and produce measurable results on creativity tests. The evidence presented indicates that the inclusion of neuroscience principles in a creativity course can in 8 weeks increase divergent thinking skills with an individual relative average of 28.5%. PMID:24137120

Social Learning, Social Control, and Strain Theories: A Formalization of Micro-level Criminological Theories

OpenAIRE

Proctor, Kristopher Ryan

2010-01-01

This dissertation proposes theoretical formalization as a way of enhancing theory development within criminology. Differential association, social learning, social control, and general strain theories are formalized in order to identify assumptions of human nature, key theoretical concepts, theoretical knowledge claims, and scope conditions. The resulting formalization allows greater comparability between theories in terms of explanatory power, and additionally provides insights into integrat...

Neuroethics: the institutionalization of ethics in neuroscience

OpenAIRE

Hamdan, Amer Cavalheiro

2017-01-01

Abstract Recent advances in neuroscience have led to numerous ethical questions. Neuroethics is the study of ethical, legal and social advancements in neuroscience which, despite being a recently developed discipline, has a long historical tradition. The concern with ethical issues in neuroscience is extremely old and dates back to the philosophical and scientific traditions that originally sought to understand the relationship between the brain and behavior. More recently, the field of neuro...

Machine learning in radiation oncology theory and applications

CERN Document Server

El Naqa, Issam; Murphy, Martin J

2015-01-01

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided rad

Imaging Mass Spectrometry in Neuroscience

Science.gov (United States)

2013-01-01

Imaging mass spectrometry is an emerging technique of great potential for investigating the chemical architecture in biological matrices. Although the potential for studying neurobiological systems is evident, the relevance of the technique for application in neuroscience is still in its infancy. In the present Review, a principal overview of the different approaches, including matrix assisted laser desorption ionization and secondary ion mass spectrometry, is provided with particular focus on their strengths and limitations for studying different neurochemical species in situ and in vitro. The potential of the various approaches is discussed based on both fundamental and biomedical neuroscience research. This Review aims to serve as a general guide to familiarize the neuroscience community and other biomedical researchers with the technique, highlighting its great potential and suitability for comprehensive and specific chemical imaging. PMID:23530951

Neuromarketing and consumer neuroscience: contributions to neurology

Science.gov (United States)

2013-01-01

Background ‘Neuromarketing’ is a term that has often been used in the media in recent years. These public discussions have generally centered around potential ethical aspects and the public fear of negative consequences for society in general, and consumers in particular. However, positive contributions to the scientific discourse from developing a biological model that tries to explain context-situated human behavior such as consumption have often been neglected. We argue for a differentiated terminology, naming commercial applications of neuroscientific methods ‘neuromarketing’ and scientific ones ‘consumer neuroscience’. While marketing scholars have eagerly integrated neuroscientific evidence into their theoretical framework, neurology has only recently started to draw its attention to the results of consumer neuroscience. Discussion In this paper we address key research topics of consumer neuroscience that we think are of interest for neurologists; namely the reward system, trust and ethical issues. We argue that there are overlapping research topics in neurology and consumer neuroscience where both sides can profit from collaboration. Further, neurologists joining the public discussion of ethical issues surrounding neuromarketing and consumer neuroscience could contribute standards and experience gained in clinical research. Summary We identify the following areas where consumer neuroscience could contribute to the field of neurology: First, studies using game paradigms could help to gain further insights into the underlying pathophysiology of pathological gambling in Parkinson’s disease, frontotemporal dementia, epilepsy, and Huntington’s disease. Second, we identify compulsive buying as a common interest in neurology and consumer neuroscience. Paradigms commonly used in consumer neuroscience could be applied to patients suffering from Parkinson’s disease and frontotemporal dementia to advance knowledge of this important behavioral symptom

Life science-based neuroscience education at large Western Public Universities.

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Coskun, Volkan; Carpenter, Ellen M

2016-12-01

The last 40 years have seen a remarkable increase in the teaching of neuroscience at the undergraduate level. From its origins as a component of anatomy or physiology departments to its current status as an independent interdisciplinary field, neuroscience has become the chosen field of study for many undergraduate students, particularly for those interested in medical school or graduate school in neuroscience or related fields. We examined how life science-based neuroscience education is offered at large public universities in the Western United States. By examining publicly available materials posted online, we found that neuroscience education may be offered as an independent program, or as a component of biological or physiological sciences at many institutions. Neuroscience programs offer a course of study involving a core series of courses and a collection of topical electives. Many programs provide the opportunity for independent research, or for laboratory-based training in neuroscience. Features of neuroscience programs at Western universities closely matched those seen at the top 25 public universities, as identified by U.S. News & World Report. While neuroscience programs were identified in many Western states, there were several states in which public universities appeared not to provide opportunities to major in neuroscience. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Neuroscience and leadership : awareness, relevance and applications of neuroscience principles within leadership development in Germany

OpenAIRE

Dürrbeck, Klaus

2016-01-01

This bachelor’s thesis aimed to elaborate the current importance-level of neuroscience within leadership development as well as its future potential. Thereby awareness of leaders and human resource executives, general relevance for organisational success, and current applications of neuroscience principles within development programmes were identified. Additionally, existent and emergent triggers and forces that impede leadership or organisational success were investigated, in order to examin...

Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience

Science.gov (United States)

Mulugeta, Lealem; Drach, Andrew; Erdemir, Ahmet; Hunt, C. A.; Horner, Marc; Ku, Joy P.; Myers Jr., Jerry G.; Vadigepalli, Rajanikanth; Lytton, William W.

2018-01-01

Modeling and simulation in computational neuroscience is currently a research enterprise to better understand neural systems. It is not yet directly applicable to the problems of patients with brain disease. To be used for clinical applications, there must not only be considerable progress in the field but also a concerted effort to use best practices in order to demonstrate model credibility to regulatory bodies, to clinics and hospitals, to doctors, and to patients. In doing this for neuroscience, we can learn lessons from long-standing practices in other areas of simulation (aircraft, computer chips), from software engineering, and from other biomedical disciplines. In this manuscript, we introduce some basic concepts that will be important in the development of credible clinical neuroscience models: reproducibility and replicability; verification and validation; model configuration; and procedures and processes for credible mechanistic multiscale modeling. We also discuss how garnering strong community involvement can promote model credibility. Finally, in addition to direct usage with patients, we note the potential for simulation usage in the area of Simulation-Based Medical Education, an area which to date has been primarily reliant on physical models (mannequins) and scenario-based simulations rather than on numerical simulations. PMID:29713272

Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience

Directory of Open Access Journals (Sweden)

Lealem Mulugeta

2018-04-01

Full Text Available Modeling and simulation in computational neuroscience is currently a research enterprise to better understand neural systems. It is not yet directly applicable to the problems of patients with brain disease. To be used for clinical applications, there must not only be considerable progress in the field but also a concerted effort to use best practices in order to demonstrate model credibility to regulatory bodies, to clinics and hospitals, to doctors, and to patients. In doing this for neuroscience, we can learn lessons from long-standing practices in other areas of simulation (aircraft, computer chips, from software engineering, and from other biomedical disciplines. In this manuscript, we introduce some basic concepts that will be important in the development of credible clinical neuroscience models: reproducibility and replicability; verification and validation; model configuration; and procedures and processes for credible mechanistic multiscale modeling. We also discuss how garnering strong community involvement can promote model credibility. Finally, in addition to direct usage with patients, we note the potential for simulation usage in the area of Simulation-Based Medical Education, an area which to date has been primarily reliant on physical models (mannequins and scenario-based simulations rather than on numerical simulations.

Teachers' Beliefs about Neuroscience and Education

Science.gov (United States)

Zambo, Debby; Zambo, Ron

2011-01-01

Information from neuroscience is readily available to educators, yet instructors of educational psychology and related fields have not investigated teachers' beliefs regarding this information. The purpose of this survey study was to uncover the beliefs 62 teachers held about neuroscience and education. Results indicate there were three types of…

Neural Basis of Reinforcement Learning and Decision Making

Science.gov (United States)

Lee, Daeyeol; Seo, Hyojung; Jung, Min Whan

2012-01-01

Reinforcement learning is an adaptive process in which an animal utilizes its previous experience to improve the outcomes of future choices. Computational theories of reinforcement learning play a central role in the newly emerging areas of neuroeconomics and decision neuroscience. In this framework, actions are chosen according to their value functions, which describe how much future reward is expected from each action. Value functions can be adjusted not only through reward and penalty, but also by the animal’s knowledge of its current environment. Studies have revealed that a large proportion of the brain is involved in representing and updating value functions and using them to choose an action. However, how the nature of a behavioral task affects the neural mechanisms of reinforcement learning remains incompletely understood. Future studies should uncover the principles by which different computational elements of reinforcement learning are dynamically coordinated across the entire brain. PMID:22462543

Understanding feedback: A learning theory perspective

NARCIS (Netherlands)

Thurlings, Marieke; Vermeulen, Marjan; Bastiaens, Theo; Stijnen, Sjef

2018-01-01

This article aims to review literature on feedback to teachers. Because research has hardly focused on feedback among teachers, the review’s scope also includes feedback in class- rooms. The review proposes that the effectiveness of feedback and feedback processes depend on the learning theory

The potential of neuroscience for health sciences education: towards convergence of evidence and resisting seductive allure.

Science.gov (United States)

de Bruin, Anique B H

2016-12-01

Since emergence of the field 'Educational Neuroscience' (EN) in the late nineties of the previous century, a debate has emerged about the potential this field holds to influence teaching and learning in the classroom. By now, most agree that the original claims promising direct translations to teaching and learning were too strong. I argue here that research questions in (health professions) education require multi-methodological approaches, including neuroscience, while carefully weighing what (combination of) approaches are most suitable given a research question. Only through a multi-methodological approach will convergence of evidence emerge, which is so desperately needed for improving teaching and learning in the classroom. However, both researchers and teachers should become aware of the so-called 'seductive allure' of EN; that is, the demonstrable physical location and apparent objectivity of the measurements can be interpreted as yielding more powerful evidence and warranting stronger conclusions than, e.g., behavioral experiments, where in fact oftentimes the reverse is the case. I conclude that our tendency as researchers to commit ourselves to one methodological approach and to addressing educational research questions from a single methodological perspective is limiting progress in educational science and in translation to education.

Challenges and opportunities in social neuroscience

Science.gov (United States)

Cacioppo, John T.; Decety, Jean

2010-01-01

Social species are so characterized because they form organizations that extend beyond the individual. The goal of social neuroscience is to investigate the biological mechanisms that underlie these social structures, processes, and behavior and the influences between social and neural structures and processes. Such an endeavor is challenging because it necessitates the integration of multiple levels. Mapping across systems and levels (from genome to social groups and cultures) requires interdisciplinary expertise, comparative studies, innovative methods, and integrative conceptual analysis. Examples of how social neuroscience is contributing to our understanding of the functions of the brain and nervous system are described, and societal implications of social neuroscience are considered. PMID:21251011

Applying the neuroscience of creativity to creativity training

DEFF Research Database (Denmark)

Onarheim, Balder; Friis-Olivarius, Morten

2013-01-01

This article investigates how neuroscience in general, and neuroscience of creativity in particular, can be used in teaching "applied creativity" and the usefulness of this approach to creativity training. The article is based on empirical data and our experiences from the Applied Neuro...... in the ANC program is that the conceptualization of creativity is built on neuroscience, and a crucial aspect of the course is giving the students a thorough understanding of the neuroscience of creativity. Previous studies have reported that the conceptualization of creativity used in such training...... is of major importance for the success of the training, and we believe that the neuroscience of creativity offers a novel conceptualization for creativity training. Here we present pre/post-training tests showing that ANC students gained more fluency in divergent thinking (a traditional measure of trait...

Learning theories in computer-assisted foreign language acquisition

OpenAIRE

Baeva, D.

2013-01-01

This paper reviews the learning theories, focusing to the strong interest in technology use for language learning. It is important to look at how technology has been used in the field thus far. The goals of this review are to understand how computers have been used in the past years to support foreign language learning, and to explore any research evidence with regards to how computer technology can enhance language skills acquisition

Techniques and Technology to Revise Content Delivery and Model Critical Thinking in the Neuroscience Classroom.

Science.gov (United States)

Illig, Kurt R

2015-01-01

Undergraduate neuroscience courses typically involve highly interdisciplinary material, and it is often necessary to use class time to review how principles of chemistry, math and biology apply to neuroscience. Lecturing and Socratic discussion can work well to deliver information to students, but these techniques can lead students to feel more like spectators than participants in a class, and do not actively engage students in the critical analysis and application of experimental evidence. If one goal of undergraduate neuroscience education is to foster critical thinking skills, then the classroom should be a place where students and instructors can work together to develop them. Students learn how to think critically by directly engaging with course material, and by discussing evidence with their peers, but taking classroom time for these activities requires that an instructor find a way to provide course materials outside of class. Using technology as an on-demand provider of course materials can give instructors the freedom to restructure classroom time, allowing students to work together in small groups and to have discussions that foster critical thinking, and allowing the instructor to model these skills. In this paper, I provide a rationale for reducing the use of traditional lectures in favor of more student-centered activities, I present several methods that can be used to deliver course materials outside of class and discuss their use, and I provide a few examples of how these techniques and technologies can help improve learning outcomes.

Locus of Control and Academic Achievement: Integrating Social Learning Theory and Expectancy-Value Theory

Science.gov (United States)

Youse, Keith Edward

2012-01-01

The current study examines predictors of math achievement and college graduation by integrating social learning theory and expectancy-value theory. Data came from a nationally-representative longitudinal database tracking 12,144 students over twelve years from 8th grade forward. Models for math achievement and college graduation were tested…

Machine learning and complex-network for personalized and systems biomedicine

KAUST Repository

Cannistraci, Carlo Vittorio

2016-01-27

The talk will begin with an introduction on using machine learning to discover hidden information and unexpected patterns in large biomedical datasets. Then, recent results on the use of complex network theory in biomedicine and neuroscience will be discussed. In particular, metagenomics and metabolomics data, approaches for drug-target repositioning, functional/structural MR connectomes and gut-brain axis data will be presented. The conclusion will outline the novel and exciting perspectives offered by the translation of these methods from systems biology to systems medicine.

Progressive Education Standards: A Neuroscience Framework

Science.gov (United States)

O'Grady, Patty

2011-01-01

This paper proposes a coherent and unique set of 12 standards, adopting a neuroscience framework for biologically based on school reform. This model of educational principles and practices aligns with the long-standing principles and practices of the Progressive Education Movement in the United States and the emerging principles of neuroscience.…

We Feel, Therefore We Learn: The Relevance of Affective and Social Neuroscience to Education

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Immordino-Yang, Mary Helen; Damasio, Antonio

2007-01-01

Recent advances in neuroscience are highlighting connections between emotion, social functioning, and decision making that have the potential to revolutionize our understanding of the role of affect in education. In particular, the neurobiological evidence suggests that the aspects of cognition that we recruit most heavily in schools, namely…

Applications of neuroscience in criminal law: legal and methodological issues.

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Meixner, John B

2015-01-01

The use of neuroscience in criminal law applications is an increasingly discussed topic among legal and psychological scholars. Over the past 5 years, several prominent federal criminal cases have referenced neuroscience studies and made admissibility determinations regarding neuroscience evidence. Despite this growth, the field is exceptionally young, and no one knows for sure how significant of a contribution neuroscience will make to criminal law. This article focuses on three major subfields: (1) neuroscience-based credibility assessment, which seeks to detect lies or knowledge associated with a crime; (2) application of neuroscience to aid in assessments of brain capacity for culpability, especially among adolescents; and (3) neuroscience-based prediction of future recidivism. The article briefly reviews these fields as applied to criminal law and makes recommendations for future research, calling for the increased use of individual-level data and increased realism in laboratory studies.

Towards a Semantic E-Learning Theory by Using a Modelling Approach

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Yli-Luoma, Pertti V. J.; Naeve, Ambjorn

2006-01-01

In the present study, a semantic perspective on e-learning theory is advanced and a modelling approach is used. This modelling approach towards the new learning theory is based on the four SECI phases of knowledge conversion: Socialisation, Externalisation, Combination and Internalisation, introduced by Nonaka in 1994, and involving two levels of…

Blended-Learning Pain Neuroscience Education for People With Chronic Spinal Pain: Randomized Controlled Multicenter Trial.

Science.gov (United States)

Malfliet, Anneleen; Kregel, Jeroen; Meeus, Mira; Roussel, Nathalie; Danneels, Lieven; Cagnie, Barbara; Dolphens, Mieke; Nijs, Jo

2018-05-01

Available evidence favors the use of pain neuroscience education (PNE) in patients with chronic pain. However, PNE trials are often limited to small sample sizes and, despite the current digital era, the effects of blended-learning PNE (ie, the combination of online digital media with traditional educational methods) have not yet been investigated. The study objective was to examine whether blended-learning PNE is able to improve disability, catastrophizing, kinesiophobia, and illness perceptions. This study was a 2-center, triple-blind randomized controlled trial (participants, statistician, and outcome assessor were masked). The study took place at university hospitals in Ghent and Brussels, Belgium. Participants were 120 people with nonspecific chronic spinal pain (ie, chronic neck pain and low back pain). The intervention was 3 sessions of PNE or biomedically focused back/neck school education (addressing spinal anatomy and physiology). Measurements were self-report questionnaires (Pain Disability Index, Pain Catastrophizing Scale, Tampa Scale for Kinesiophobia, Illness Perception Questionnaire, and Pain Vigilance and Awareness Questionnaire). None of the treatment groups showed a significant change in the perceived disability (Pain Disability Index) due to pain (mean group difference posteducation: 1.84; 95% CI = -2.80 to 6.47). Significant interaction effects were seen for kinesiophobia and several subscales of the Illness Perception Questionnaire, including negative consequences, cyclical time line, and acute/chronic time line. In-depth analysis revealed that only in the PNE group were these outcomes significantly improved (9% to 17% improvement; 0.37 ≤ Cohen d ≥ 0.86). Effect sizes are small to moderate, which might raise the concern of limited clinical utility; however, changes in kinesiophobia exceed the minimal detectable difference. PNE should not be used as the sole treatment modality but should be combined with other treatment strategies

From static to temporal network theory: Applications to functional brain connectivity

Directory of Open Access Journals (Sweden)

William Hedley Thompson

2017-06-01

Full Text Available Network neuroscience has become an established paradigm to tackle questions related to the functional and structural connectome of the brain. Recently, interest has been growing in examining the temporal dynamics of the brain’s network activity. Although different approaches to capturing fluctuations in brain connectivity have been proposed, there have been few attempts to quantify these fluctuations using temporal network theory. This theory is an extension of network theory that has been successfully applied to the modeling of dynamic processes in economics, social sciences, and engineering article but it has not been adopted to a great extent within network neuroscience. The objective of this article is twofold: (i to present a detailed description of the central tenets of temporal network theory and describe its measures, and; (ii to apply these measures to a resting-state fMRI dataset to illustrate their utility. Furthermore, we discuss the interpretation of temporal network theory in the context of the dynamic functional brain connectome. All the temporal network measures and plotting functions described in this article are freely available as the Python package Teneto. Temporal network theory is a subfield of network theory that has had limited application to date within network neuroscience. The aims of this work are to introduce temporal network theory, define the metrics relevant to the context of network neuroscience, and illustrate their potential by analyzing a resting-state fMRI dataset. We found both between-subjects and between-task differences that illustrate the potential for these tools to be applied in a wider context. Our tools for analyzing temporal networks have been released in a Python package called Teneto.

Applying the neuroscience of creativity to creativity training

Directory of Open Access Journals (Sweden)

Balder eOnarheim

2013-10-01

Full Text Available This article investigates how neuroscience in general, and neuroscience of creativity in particular, can be used in teaching 'applied creativity' and the usefulness of this approach to creativity training. The article is based on empirical data and our experiences from the Applied NeuroCreativity (ANC program, taught at business schools in Denmark and Canada. In line with previous studies of successful creativity training programs the ANC participants are first introduced to cognitive concepts of creativity, before applying these concepts to a relevant real world creative problem. The novelty in the ANC program is that the conceptualization of creativity is built on neuroscience, and a crucial aspect of the course is giving the students a thorough understanding of the neuroscience of creativity. Previous studies have reported that the conceptualization of creativity used in such training is of major importance for the success of the training, and we believe that the neuroscience of creativity offers a novel conceptualization for creativity training. Here we present two sets of empirical data, suggesting that principles from neuroscience can contribute effectively to creativity training and produce measurable results on creativity tests: 1 an experiment demonstrating how an ANC lecture on the neurobiology of creativity significantly decreased the number of fixations in a creative task, 2 pre/post-training tests showing that ANC students gained more fluency in divergent thinking (a traditional measure of trait creativity than those in highly similar courses without the neuroscience component. The evidence presented indicates that the inclusion of neuroscience principles in a creativity course can in 8 weeks increase divergent thinking skills with an individual relative average of 28.5%.

Neuroscience and Special Education. inForum

Science.gov (United States)

Muller, Eve

2011-01-01

The purpose of this document is to provide a brief overview of how links are being developed between the rapidly expanding field of neuroscience and the practice of special education. The first part of the document introduces definitions and terminology, provides an overview of how findings from neuroscience are being applied to the field of…

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

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Wood, Rodger Ll; Alderman, Nick

2011-01-01

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

The Effectiveness of Brain Based Teaching on the Executive Functions of the Students with Mathematics Learning Disability

OpenAIRE

Salar Faramarzi; Maryam Samadi; Ahmad Yarmohammadian; Salman Dezhara

2014-01-01

Target: With advances in cognitive neuroscience and the developing connection between neuroscience and education in recent years, new windows has been opened in the realm of teaching and learning for the education experts. So education has vastly benefited from the results of researches in neuroscience to improve learning. The study strived to investigate the effectiveness of “brain based teaching” on the executive functions of the students with mathematics learning disability in Isfahan city...

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

Science.gov (United States)

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

2003-07-01

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

Toward an affective neuroscience account of financial risk taking

Directory of Open Access Journals (Sweden)

Charlene C. Wu

2012-11-01

Full Text Available To explain human financial risk taking, economic and finance theories typically refer to the mathematical properties of financial options, whereas psychological theories have emphasized the influence of emotion and cognition on choice. From a neuroscience perspective, choice emanates from a dynamic multicomponential process. Recent technological advances in neuroimaging have made it possible for researchers to separately visualize perceptual input, intermediate processing, and motor output. An affective neuroscience account of financial risk taking thus might illuminate affective mediators that bridge the gap between statistical input and choice output. To test this hypothesis, we conducted a quantitative meta-analysis (via activation likelihood estimate or ALE of functional magnetic resonance imaging experiments that focused on neural responses to financial options with varying statistical moments (i.e., mean, variance, skewness. Results suggested that different statistical moments elicit both common and distinct patterns of neural activity. Across studies, high versus low mean had the highest probability of increasing ventral striatal activity, but high versus low variance had the highest probability of increasing anterior insula activity. Further, high versus low skewness had the highest probability of increasing ventral striatal activity. Since ventral striatal activity has been associated with positive aroused affect (e.g. excitement, whereas anterior insular activity has been associated with negative aroused affect (e.g. anxiety or general arousal, these findings are consistent with the notion that statistical input influences choice output by eliciting anticipatory affect. The findings also imply that neural activity can be used to predict financial risk taking – both when it conforms to and violates traditional models of choice.

En retorisk forståelsesramme for Computer Supported Collaborative Learning (A Rhetorical Theory on Computer Supported Collaborative Learning)

DEFF Research Database (Denmark)

Harlung, Asger

2003-01-01

The dissertation explores the potential of rhetorical theories for understanding, analyzing, or planning communication and learning processes, and for integrating the digitized contexts and human interaction and communication proccesses in a single theoretical framework. Based on Cicero's rhetori...... applied to two empirical case studies of Master programs, the dissertation develops and presents a new theory on Computer Supported Collaborative Learning (CSCL).......The dissertation explores the potential of rhetorical theories for understanding, analyzing, or planning communication and learning processes, and for integrating the digitized contexts and human interaction and communication proccesses in a single theoretical framework. Based on Cicero's rhetoric...

A Plea for Cross-species Social Neuroscience.

Science.gov (United States)

Keysers, Christian; Gazzola, Valeria

2017-01-01

Over the past two decades, the question of how our brain makes us sensitive to the state of conspecifics and how that affects our behaviour has undergone a profound change. Twenty years ago what would now be called social neuroscience was focused on the visual processing of facial expressions and body movements in temporal lobe structures of primates (Puce and Perrett 2003). With the discovery of mirror neurons, this changed rapidly towards the modern field of social neuroscience, in which high-level vision is but one of many focuses of interest. In this essay, we will argue that for the further progress of the field, the integration of animal neuroscience and human neuroscience is paramount. We will do so, by focusing on the field of embodied social cognition. We will first show how the combination of animal and human neuroscience was critical in how the discovery of mirror neurons placed the motor system on the map of social cognition. We will then argue why an integrated cross-species approach will be pivotal to our understanding of the neural basis of emotional empathy and its link to prosocial behaviour.

Evaluating clinical simulations for learning procedural skills: a theory-based approach.

Science.gov (United States)

Kneebone, Roger

2005-06-01

Simulation-based learning is becoming widely established within medical education. It offers obvious benefits to novices learning invasive procedural skills, especially in a climate of decreasing clinical exposure. However, simulations are often accepted uncritically, with undue emphasis being placed on technological sophistication at the expense of theory-based design. The author proposes four key areas that underpin simulation-based learning, and summarizes the theoretical grounding for each. These are (1) gaining technical proficiency (psychomotor skills and learning theory, the importance of repeated practice and regular reinforcement), (2) the place of expert assistance (a Vygotskian interpretation of tutor support, where assistance is tailored to each learner's needs), (3) learning within a professional context (situated learning and contemporary apprenticeship theory), and (4) the affective component of learning (the effect of emotion on learning). The author then offers four criteria for critically evaluating new or existing simulations, based on the theoretical framework outlined above. These are: (1) Simulations should allow for sustained, deliberate practice within a safe environment, ensuring that recently-acquired skills are consolidated within a defined curriculum which assures regular reinforcement; (2) simulations should provide access to expert tutors when appropriate, ensuring that such support fades when no longer needed; (3) simulations should map onto real-life clinical experience, ensuring that learning supports the experience gained within communities of actual practice; and (4) simulation-based learning environments should provide a supportive, motivational, and learner-centered milieu which is conducive to learning.

Computational Cognitive Neuroscience Modeling of Sequential Skill Learning

Science.gov (United States)

2016-09-21

learning during declarative control. 8. Journal of Experimental Psychology : Learning, Memory , and Cognition . 9. Crossley, M. J., Ashby, F. G., & Maddox...learning: Sensitivity to feedback timing. Frontiers in Psychology – Cognitive Science, 5, article 643, 1-9. 15. Worthy, D.A. & Maddox, W.T. (2014). A...Learning, Memory , and Cognition . Crossley, M. J., Ashby, F. G., & Maddox, W. T. (2014). Context-dependent savings in procedural category learning

Use of the Learning together technique associated to the theory of significative learning

Directory of Open Access Journals (Sweden)

Ester López Donoso

2008-09-01

Full Text Available This article deals with an experimental research, regarding a qualitative and quantitative design, applied to a group of students of General Physics course during the first semester of the university career of Engineering. Historically, students of this course present learning difficulties that directly affect their performance, conceptualization and permanence in the university. The present methodology integrates the collaborative learning, denominated Learning Together", with the theory of significant learning to avoid the above-written difficulties. Results of this research show that the proposed methodology works properly, especially to improve the conceptualization.

On the Neuroscience of Self-Regulation in Children with Disruptive Behavior Problems: Implications for Education

Science.gov (United States)

Woltering, Steven; Shi, Qinxin

2016-01-01

Self-regulation is increasingly recognized as a key predictor of academic and social competence. A multidisciplinary understanding of this ability is timely and can strengthen theory and practice. The present review aims to inform educators on what cognitive neuroscience can teach us about self-regulation. To do so, we will focus on a decade-long…

Experiential Learning Theory as a Guide for Effective Teaching.

Science.gov (United States)

Murrell, Patricia H.; Claxton, Charles S.

1987-01-01

David Kolb's experiential learning theory involves a framework useful in designing courses that meet needs of diverse learners. Course designs providing systematic activities in concrete experience, reflective observations, abstract conceptualization, and active experimentation will be sensitive to students' learning styles while challenging…

The (kinetic) theory of active particles applied to learning dynamics. Comment on "Collective learning modeling based on the kinetic theory of active particles" by D. Burini et al.

Science.gov (United States)

Nieto, J.

2016-03-01

The learning phenomena, their complexity, concepts, structure, suitable theories and models, have been extensively treated in the mathematical literature in the last century, and [4] contains a very good introduction to the literature describing the many approaches and lines of research developed about them. Two main schools have to be pointed out [5] in order to understand the two -not exclusive- kinds of existing models: the stimulus sampling models and the stochastic learning models. Also [6] should be mentioned as a survey where two methods of learning are pointed out, the cognitive and the social, and where the knowledge looks like a mathematical unknown. Finally, as the authors do, we refer to the works [9,10], where the concept of population thinking was introduced and which motivate the game theory rules as a tool (both included in [4] to develop their theory) and [7], where the ideas of developing a mathematical kinetic theory of perception and learning were proposed.

A physiological perspective on the neuroscience of eating.

Science.gov (United States)

Geary, Nori

2014-09-01

I present the thesis that 'being physiological,' i.e., analyzing eating under conditions that do not perturb, or minimally perturb, the organism's endogenous processes, should be a central goal of the neuroscience of eating. I describe my understanding of 'being physiological' based on [i] the central neural-network heuristic of CNS function that traces back to Cajal and Sherrington, [ii] research on one of the simpler problems in the neuroscience of eating, identification of endocrine signals that control eating. In this context I consider natural meals, physiological doses and ranges, and antagonist studies. Several examples involve CCK. Next I describe my view of the cutting edge in the molecular neuroscience of eating as it has evolved from the discovery of leptin signaling through the application of optogenetic and pharmacogenetic methods. Finally I describe some novel approaches that may advance the neuroscience of eating in the foreseeable future. I conclude that [i] the neuroscience of eating may soon be able to discern 'physiological' function in the operation of CNS networks mediating eating, [ii] the neuroscience of eating should capitalize on methods developed in other areas of neuroscience, e.g., improved methods to record and manipulate CNS function in behaving animals, identification of canonical regional circuits, use of population electrophysiology, etc., and [iii] subjective aspects of eating are crucial aspects of eating science, but remain beyond mechanistic understanding. Copyright © 2014 Elsevier Inc. All rights reserved.

NeuroTalk: Improving the Communication of Neuroscience

Science.gov (United States)

Moser, Mary Anne; McCormick, Jennifer B.; Racine, Eric; Blakeslee, Sandra; Caplan, Arthur; Hayden, Erika Check; Ingram, Jay; Lohwater, Tiffany; McKnight, Peter; Nicholson, Christie; Phillips, Anthony; Sauvé, Kevin D.; Snell, Elaine; Weiss, Sam

2010-01-01

There is increasing pressure for neuroscientists to communicate their research and the societal implications of their findings to the public. Communicating science is challenging and the transformation of communication by digital and interactive media makes the challenge even greater. To successfully facilitate dialogue with the public in this new media landscape we suggest three courses of action for the neuroscience community: a cultural shift that explicitly recognizes and rewards public outreach, the identification and development of neuroscience communication experts, and ongoing empirical research on public communication of neuroscience. PMID:19953102

The Last Planner System Style of Planning: Its Basis in Learning Theory

Directory of Open Access Journals (Sweden)

Bo Terje Kalsaas

2012-07-01

Full Text Available The objective of this article is to contribute to creating a better understanding of the Last Planner System (LPS – which is associated with Lean Construction – in the light of the learning processes at the basis of knowledge development, and of change and innovation. Founded on a theoretical discussion, three research questions are asked, namely: In what ways can the LPS be expected to alter the learning arenas compared to conventional project management in construction; according to learning theory, what are the main challenges associated with implementing the LPS; and, finally, what kind of learning can be linked to an implemented LPS that functions as intended? The implementation of the LPS is shown to require substantial changes to the technical-organisational learning arena. In order for the implementation to be successful, the work identity has to alter on the individual level so that an overlap occurs with the new work practices prescribed by the LPS. The LPS has an inbuilt experiential learning cycle, and provides a good starting point for single-loop learning, as well as for simple forms of double-loop learning (“routinized learning capability”. However, it is argued that the LPS understood as experiential learning has clear limitations with regard to “evolutionary learning capability”. This is amplified by the context project organisation provides. In terms of theoretical implications, this article promotes an understanding of the planning process informed by the theory describing it as an experiential learning cycle. The conceptualisation which separates the LPS from conventional production control theory is critiqued. Finally, it is argued that an understanding of the LPS grounded in learning theory will improve the possibilities for successful implementation and maximise the learning effects.

Collective learning modeling based on the kinetic theory of active particles

Science.gov (United States)

Burini, D.; De Lillo, S.; Gibelli, L.

2016-03-01

This paper proposes a systems approach to the theory of perception and learning in populations composed of many living entities. Starting from a phenomenological description of these processes, a mathematical structure is derived which is deemed to incorporate their complexity features. The modeling is based on a generalization of kinetic theory methods where interactions are described by theoretical tools of game theory. As an application, the proposed approach is used to model the learning processes that take place in a classroom.

Networks and learning in game theory

NARCIS (Netherlands)

Kets, W.

2008-01-01

This work concentrates on two topics, networks and game theory, and learning in games. The first part of this thesis looks at network games and the role of incomplete information in such games. It is assumed that players are located on a network and interact with their neighbors in the network.

The case for neuropsychoanalysis: Why a dialogue with neuroscience is necessary but not sufficient for psychoanalysis.

Science.gov (United States)

Yovell, Yoram; Solms, Mark; Fotopoulou, Aikaterini

2015-12-01

Recent advances in the cognitive, affective and social neurosciences have enabled these fields to study aspects of the mind that are central to psychoanalysis. These developments raise a number of possibilities for psychoanalysis. Can it engage the neurosciences in a productive and mutually enriching dialogue without compromising its own integrity and unique perspective? While many analysts welcome interdisciplinary exchanges with the neurosciences, termed neuropsychoanalysis, some have voiced concerns about their potentially deleterious effects on psychoanalytic theory and practice. In this paper we outline the development and aims of neuropsychoanalysis, and consider its reception in psychoanalysis and in the neurosciences. We then discuss some of the concerns raised within psychoanalysis, with particular emphasis on the epistemological foundations of neuropsychoanalysis. While this paper does not attempt to fully address the clinical applications of neuropsychoanalysis, we offer and discuss a brief case illustration in order to demonstrate that neuroscientific research findings can be used to enrich our models of the mind in ways that, in turn, may influence how analysts work with their patients. We will conclude that neuropsychoanalysis is grounded in the history of psychoanalysis, that it is part of the psychoanalytic worldview, and that it is necessary, albeit not sufficient, for the future viability of psychoanalysis. Copyright © 2015 Institute of Psychoanalysis.

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.

Science.gov (United States)

Lu, Hongjing; Rojas, Randall R; Beckers, Tom; Yuille, Alan L

2016-03-01

Two key research issues in the field of causal learning are how people acquire causal knowledge when observing data that are presented sequentially, and the level of abstraction at which learning takes place. Does sequential causal learning solely involve the acquisition of specific cause-effect links, or do learners also acquire knowledge about abstract causal constraints? Recent empirical studies have revealed that experience with one set of causal cues can dramatically alter subsequent learning and performance with entirely different cues, suggesting that learning involves abstract transfer, and such transfer effects involve sequential presentation of distinct sets of causal cues. It has been demonstrated that pre-training (or even post-training) can modulate classic causal learning phenomena such as forward and backward blocking. To account for these effects, we propose a Bayesian theory of sequential causal learning. The theory assumes that humans are able to consider and use several alternative causal generative models, each instantiating a different causal integration rule. Model selection is used to decide which integration rule to use in a given learning environment in order to infer causal knowledge from sequential data. Detailed computer simulations demonstrate that humans rely on the abstract characteristics of outcome variables (e.g., binary vs. continuous) to select a causal integration rule, which in turn alters causal learning in a variety of blocking and overshadowing paradigms. When the nature of the outcome variable is ambiguous, humans select the model that yields the best fit with the recent environment, and then apply it to subsequent learning tasks. Based on sequential patterns of cue-outcome co-occurrence, the theory can account for a range of phenomena in sequential causal learning, including various blocking effects, primacy effects in some experimental conditions, and apparently abstract transfer of causal knowledge. Copyright © 2015

The (Bio)Politicization of Neuroscience in Australian Early Years Policies: Fostering Brain-Resources "as" Human Capital

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Millei, Zsuzsa; Joronen, Mikko

2016-01-01

At the present, human capital theory (HCT) and neuroscience reasoning are dominant frameworks in early childhood education and care (ECEC) worldwide. Popular since the 1960s, HCT has provided an economic understanding of human beings and offered strategies to manage the population with the promise of bringing improvements to nations. Neuroscience…

Opera and neuroscience.

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Lorusso, Lorenzo; Franchini, Antonia Francesca; Porro, Alessandro

2015-01-01

Opera is the most complete form of theatrical representation, characterized by musical accompaniment, both instrumental and vocal. It has played an important role in sociocultural spheres, affecting the various social strata and reflecting customs and ideas in different centuries. Composers have created pieces that have also shown the development of medicine. Since the birth of opera in seventeenth century in Italy, neuroscience has played an important role in influencing the representation of madness and neurological aspects. From the Folly of the Renaissance, a path toward a representation of madness was developed, initially linked to the myths of classical antiquity. In the seventeenth and eighteenth centuries, madness was represented as comical or funny, of a loving nature and influenced by the spread of the Commedia dell'Arte (Comedy of Art). In the nineteenth century, with the rise of the first scientific theories of the mind, insanity took more precise connotations and was separated from other psychiatric and neurological diseases. The operas of the twentieth century depicted psychiatric and neurological diseases, taking into account newer medical and scientific discoveries. © 2015 Elsevier B.V. All rights reserved.

Role of Adult Learning Theories in the Development of Corporate Training in the USA

Directory of Open Access Journals (Sweden)

Iryna Lytovchenko

2016-07-01

Full Text Available The article presents the analysis of the role of adult learning theories in the development of corporate training in the USA. Considering that corporate education is part of the adult education system in this country, the author examines theories of organizational learning in the context of adult learning. The results of the study have revealed that adult education in the US is based on dif erent learning theories which should be viewed from the perspective of several main orientations: behaviorism, cognitivism, humanism, developmental theories, social learning, constructivism, which have dif erent philosophical background and, accordingly, different understanding of the nature and methodology of adult learning. Based on the results of the study it has been concluded that theories of organizational learning which explain motivation of students, their needs and goals, cognitive processes and other aspects of the learning in organizations and have had the main influence on the development of corporate education in the United States should be viewed in the context of the above-mentioned basic orientations to learning, too. From the methodological perspective, the research was based on interdisciplinary and systemic approaches. Thus, we used a set of interrelated research methods: comparative, structural, systemic-functional analyses, comparison and synthesis.

The OpenPicoAmp: an open-source planar lipid bilayer amplifier for hands-on learning of neuroscience.

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Shlyonsky, Vadim; Dupuis, Freddy; Gall, David

2014-01-01

Understanding the electrical biophysical properties of the cell membrane can be difficult for neuroscience students as it relies solely on lectures of theoretical models without practical hands on experiments. To address this issue, we developed an open-source lipid bilayer amplifier, the OpenPicoAmp, which is appropriate for use in introductory courses in biophysics or neurosciences at the undergraduate level, dealing with the electrical properties of the cell membrane. The amplifier is designed using the common lithographic printed circuit board fabrication process and off-the-shelf electronic components. In addition, we propose a specific design for experimental chambers allowing the insertion of a commercially available polytetrafluoroethylene film. We provide a complete documentation allowing to build the amplifier and the experimental chamber. The students hand-out giving step-by step instructions to perform a recording is also included. Our experimental setup can be used in basic experiments in which students monitor the bilayer formation by capacitance measurement and record unitary currents produced by ionic channels like gramicidin A dimers. Used in combination with a low-cost data acquisition board this system provides a complete solution for hands-on lessons, therefore improving the effectiveness in teaching basic neurosciences or biophysics.

Neuroscience, virtual reality and neurorehabilitation: brain repair as a validation of brain theory.

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Verschure, Paul F M J

2011-01-01

This paper argues that basing cybertherapy approaches on a theoretical understanding of the brain has advantages. On one hand it provides for a rational approach towards therapy design while on the other allowing for a direct validation of brain theory in the clinic. As an example this paper discusses how the Distributed Adaptive Control architecture, a theory of mind, brain and action, has given rise to a new paradigm in neurorehabilitation called the Rehabilitation Gaming System (RGS) and to novel neuroprosthetic systems. The neuroprosthetic system considered is developed to replace the function of cerebellar micro-circuits, expresses core aspects of the learning systems of DAC and has been successfully tested in in-vivo experiments. The Virtual reality based rehabilitation paradigm of RGS has been validated in the treatment of acute and chronic stroke and has been shown to be more effective than existing methods. RGS provides a foundation for integrated at-home therapy systems that can operate largely autonomously when also augmented with appropriate physiological monitoring and diagnostic devices. These examples provide first steps towards a science based medicine.

Connectivism: A knowledge learning theory for the digital age?

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Goldie, John Gerard Scott

2016-10-01

The emergence of the internet, particularly Web 2.0 has provided access to the views and opinions of a wide range of individuals opening up opportunities for new forms of communication and knowledge formation. Previous ways of navigating and filtering available information are likely to prove ineffective in these new contexts. Connectivism is one of the most prominent of the network learning theories which have been developed for e-learning environments. It is beginning to be recognized by medical educators. This article aims to examine connectivism and its potential application. The conceptual framework and application of connectivism are presented along with an outline of the main criticisms. Its potential application in medical education is then considered. While connectivism provides a useful lens through which teaching and learning using digital technologies can be better understood and managed, further development and testing is required. There is unlikely to be a single theory that will explain learning in technological enabled networks. Educators have an important role to play in online network learning.

Aligning Coordination Class Theory with a New Context: Applying a Theory of Individual Learning to Group Learning

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Barth-Cohen, Lauren A.; Wittmann, Michael C.

2017-01-01

This article presents an empirical analysis of conceptual difficulties encountered and ways students made progress in learning at both individual and group levels in a classroom environment in which the students used an embodied modeling activity to make sense of a specific scientific scenario. The theoretical framework, coordination class theory,…

Neuroscience-Inspired Artificial Intelligence.

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Hassabis, Demis; Kumaran, Dharshan; Summerfield, Christopher; Botvinick, Matthew

2017-07-19

The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and collaboration between the two fields has become less commonplace. In this article, we argue that better understanding biological brains could play a vital role in building intelligent machines. We survey historical interactions between the AI and neuroscience fields and emphasize current advances in AI that have been inspired by the study of neural computation in humans and other animals. We conclude by highlighting shared themes that may be key for advancing future research in both fields. Copyright © 2017. Published by Elsevier Inc.

Plasticity in the Primary Auditory Cortex, Not What You Think it is: Implications for Basic and Clinical Auditory Neuroscience

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Weinberger, Norman M.

2013-01-01

Standard beliefs that the function of the primary auditory cortex (A1) is the analysis of sound have proven to be incorrect. Its involvement in learning, memory and other complex processes in both animals and humans is now well-established, although often not appreciated. Auditory coding is strongly modifed by associative learning, evident as associative representational plasticity (ARP) in which the representation of an acoustic dimension, like frequency, is re-organized to emphasize a sound that has become behaviorally important. For example, the frequency tuning of a cortical neuron can be shifted to match that of a significant sound and the representational area of sounds that acquire behavioral importance can be increased. ARP depends on the learning strategy used to solve an auditory problem and the increased cortical area confers greater strength of auditory memory. Thus, primary auditory cortex is involved in cognitive processes, transcending its assumed function of auditory stimulus analysis. The implications for basic neuroscience and clinical auditory neuroscience are presented and suggestions for remediation of auditory processing disorders are introduced. PMID:25356375

Development and application of social learning theory.

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Price, V; Archbold, J

This article traces the development of social learning theory over the last 30 years, relating the developments to clinical nursing practice. Particular attention is focused on the contribution of Albert Bandura, the American psychologist, and his work on modelling.

Talking back to theory: the missed opportunities in learning technology research

Directory of Open Access Journals (Sweden)

Martin Oliver

2011-12-01

Full Text Available Research into learning technology has developed a reputation for being drivenby rhetoric about the revolutionary nature of new developments, for payingscant attention to theories that might be used to frame and inform research, andfor producing shallow analyses that do little to inform the practice of education.Although there is theoretically-informed research in learning technology, this isin the minority, and has been actively marginalised by calls for applied designwork. This limits opportunities to advance knowledge in the field. Using threeexamples, alternative ways to engage with theory are identified. The paper concludesby calling for greater engagement with theory, and the development of ascholarship of learning technology, in order to enrich practice within the fieldand demonstrate its relevance to other fields of work.

Educational Neuroscience: Its position, aims and expectations

NARCIS (Netherlands)

van der Meulen, A.N.; Krabbendam, L.; de Ruyter, D.J.

2015-01-01

An important issue in the discussion on educational neuroscience is the transfer of thought and findings between neuroscience and education. In addition to factual confusions in this transfer in the form of neuromyths, logical confusions, or neuro-misconceptions, can be identified. We consider these

Doping Among Professional Athletes in Iran: A Test of Akers's Social Learning Theory.

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Kabiri, Saeed; Cochran, John K; Stewart, Bernadette J; Sharepour, Mahmoud; Rahmati, Mohammad Mahdi; Shadmanfaat, Syede Massomeh

2018-04-01

The use of performance-enhancing drugs (PED) is common among Iranian professional athletes. As this phenomenon is a social problem, the main purpose of this research is to explain why athletes engage in "doping" activity, using social learning theory. For this purpose, a sample of 589 professional athletes from Rasht, Iran, was used to test assumptions related to social learning theory. The results showed that there are positive and significant relationships between the components of social learning theory (differential association, differential reinforcement, imitation, and definitions) and doping behavior (past, present, and future use of PED). The structural modeling analysis indicated that the components of social learning theory accounts for 36% of the variance in past doping behavior, 35% of the variance in current doping behavior, and 32% of the variance in future use of PED.

Layers of Neuroscience

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Dumoulin, Serge O

2017-01-01

In a patch of cortex, laminae connect to different parts of the brain. Huber et al. (2017) demonstrate the ability of human neuroimaging to derive laminar information flow between brain regions, paving the way for human neuroscience applications.

Neuroscience Fiction as Eidolá: Social Reflection and Neuroethical Obligations in Depictions of Neuroscience in Film.

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Wurzman, Rachel; Yaden, David; Giordano, James

2017-04-01

Neuroscience and neurotechnology are increasingly being employed to assess and alter cognition, emotions, and behaviors, and the knowledge and implications of neuroscience have the potential to radically affect, if not redefine, notions of what constitutes humanity, the human condition, and the "self." Such capability renders neuroscience a compelling theme that is becoming ubiquitous in literary and cinematic fiction. Such neuro-SciFi (or "NeuroS/F") may be seen as eidolá: a created likeness that can either accurately-or superficially, in a limited way-represent that which it depicts. Such eidolá assume discursive properties implicitly, as emotionally salient references for responding to cultural events and technological objects reminiscent of fictional portrayal; and explicitly, through characters and plots that consider the influence of neurotechnological advances from various perspectives. We argue that in this way, neuroS/F eidolá serve as allegorical discourse on sociopolitical or cultural phenomena, have power to restructure technological constructs, and thereby alter the trajectory of technological development. This fosters neuroethical responsibility for monitoring neuroS/F eidolá and the sociocultural context from which-and into which-the ideas of eidolá are projected. We propose three approaches to this: evaluating reciprocal effects of imaginary depictions on real-world neurotechnological development; tracking changing sociocultural expectations of neuroscience and its uses; and analyzing the actual process of social interpretation of neuroscience to reveal shifts in heuristics, ideas, and attitudes. Neuroethicists are further obliged to engage with other discourse actors about neuroS/F interpretations to ensure that meanings assigned to neuroscientific advances are well communicated and more fully appreciated.

E-Learning Content Design Standards Based on Interactive Digital Concepts Maps in the Light of Meaningful and Constructivist Learning Theory

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Afify, Mohammed Kamal

2018-01-01

The present study aims to identify standards of interactive digital concepts maps design and their measurement indicators as a tool to develop, organize and administer e-learning content in the light of Meaningful Learning Theory and Constructivist Learning Theory. To achieve the objective of the research, the author prepared a list of E-learning…

The Application of Carl Rogers' Person-Centered Learning Theory to Web-Based Instruction.

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Miller, Christopher T.

This paper provides a review of literature that relates research on Carl Rogers' person-centered learning theory to Web-based learning. Based on the review of the literature, a set of criteria is described that can be used to determine how closely a Web-based course matches the different components of Rogers' person-centered learning theory. Using…

Collective learning modeling based on the kinetic theory of active particles.

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Burini, D; De Lillo, S; Gibelli, L

2016-03-01

This paper proposes a systems approach to the theory of perception and learning in populations composed of many living entities. Starting from a phenomenological description of these processes, a mathematical structure is derived which is deemed to incorporate their complexity features. The modeling is based on a generalization of kinetic theory methods where interactions are described by theoretical tools of game theory. As an application, the proposed approach is used to model the learning processes that take place in a classroom. Copyright © 2015 Elsevier B.V. All rights reserved.

Notes on the Recent History of Neuroscience in Africa

Directory of Open Access Journals (Sweden)

Vivienne A. Russell

2017-11-01

Full Text Available Neuroscience began with neuroanatomy and neurosurgery in Egypt more than 5000 years ago. Knowledge grew over time and specialized neurosurgery centers were established in north Africa in the eleventh century. However, it was not until the twentieth century that neuroscience research became established in sub-Saharan Africa. In most African countries, clinical research focused on understanding the rationale and improving treatment of epilepsy, infections, nutritional neuropathies, stroke and tumors. Significant advances were made. In the twenty-first century, African knowledge expanded to include all branches of neuroscience, contributing to genetic, biochemical and inflammatory determinants of brain disorders. A major focus of basic neuroscience research has been, and is, investigation of plant extracts, drugs and stress in animal models, providing insight and identifying potential novel therapies. A significant event in the history of African neuroscience was the founding of the Society of Neuroscientists of Africa (SONA in 1993. The International Brain Research Organization (IBRO supported SONA conferences, as well as workshops and neuroscience training schools in Africa. Thanks to their investment, as well as that of funding agencies, such as the National Institutes of Health (NIH, International Society for Neurochemistry (ISN, World Federation of Neurosurgical Societies (WFNS, World Federation of Neurology (WFN and the International League Against Epilepsy (ILAE, neuroscience research is well-established in Africa today. However, in order to continue to develop, African neuroscience needs continued international support and African neuroscientists need to engage in policy and decision-making to persuade governments to fund studies that address the unique regional needs in Africa.

Social Capital Theory: Implications for Women's Networking and Learning

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Alfred, Mary V.

2009-01-01

This chapter describes social capital theory as a framework for exploring women's networking and social capital resources. It presents the foundational assumptions of the theory, the benefits and risks of social capital engagement, a feminist critique of social capital, and the role of social capital in adult learning.

Analysis of ensemble learning using simple perceptrons based on online learning theory

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Miyoshi, Seiji; Hara, Kazuyuki; Okada, Masato

2005-03-01

Ensemble learning of K nonlinear perceptrons, which determine their outputs by sign functions, is discussed within the framework of online learning and statistical mechanics. One purpose of statistical learning theory is to theoretically obtain the generalization error. This paper shows that ensemble generalization error can be calculated by using two order parameters, that is, the similarity between a teacher and a student, and the similarity among students. The differential equations that describe the dynamical behaviors of these order parameters are derived in the case of general learning rules. The concrete forms of these differential equations are derived analytically in the cases of three well-known rules: Hebbian learning, perceptron learning, and AdaTron (adaptive perceptron) learning. Ensemble generalization errors of these three rules are calculated by using the results determined by solving their differential equations. As a result, these three rules show different characteristics in their affinity for ensemble learning, that is “maintaining variety among students.” Results show that AdaTron learning is superior to the other two rules with respect to that affinity.

How to Achieve Synergy between Medical Education and Cognitive Neuroscience? An Exercise on Prior Knowledge in Understanding

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Ruiter, Dirk J.; van Kesteren, Marlieke T. R.; Fernandez, Guillen

2012-01-01

A major challenge in contemporary research is how to connect medical education and cognitive neuroscience and achieve synergy between these domains. Based on this starting point we discuss how this may result in a common language about learning, more educationally focused scientific inquiry, and multidisciplinary research projects. As the topic of…

Action Learning and Constructivist Grounded Theory: Powerfully Overlapping Fields of Practice

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Rand, Jane

2013-01-01

This paper considers the shared characteristics between action learning (AL) and the research methodology constructivist grounded theory (CGT). Mirroring Edmonstone's [2011. "Action Learning and Organisation Development: Overlapping Fields of Practice." "Action Learning: Research and Practice" 8 (2): 93-102] article, which…

Seven challenges for neuroscience.

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Markram, Henry

2013-01-01

Although twenty-first century neuroscience is a major scientific enterprise, advances in basic research have not yet translated into benefits for society. In this paper, I outline seven fundamental challenges that need to be overcome. First, neuroscience has to become "big science" - we need big teams with the resources and competences to tackle the big problems. Second, we need to create interlinked sets of data providing a complete picture of single areas of the brain at their different levels of organization with "rungs" linking the descriptions for humans and other species. Such "data ladders" will help us to meet the third challenge - the development of efficient predictive tools, enabling us to drastically increase the information we can extract from expensive experiments. The fourth challenge goes one step further: we have to develop novel hardware and software sufficiently powerful to simulate the brain. In the future, supercomputer-based brain simulation will enable us to make in silico manipulations and recordings, which are currently completely impossible in the lab. The fifth and sixth challenges are translational. On the one hand we need to develop new ways of classifying and simulating brain disease, leading to better diagnosis and more effective drug discovery. On the other, we have to exploit our knowledge to build new brain-inspired technologies, with potentially huge benefits for industry and for society. This leads to the seventh challenge. Neuroscience can indeed deliver huge benefits but we have to be aware of widespread social concern about our work. We need to recognize the fears that exist, lay them to rest, and actively build public support for neuroscience research. We have to set goals for ourselves that the public can recognize and share. And then we have to deliver on our promises. Only in this way, will we receive the support and funding we need.

Motivational Classroom Climate for Learning Mathematics: A Reversal Theory Perspective

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Lewis, Gareth

2015-01-01

In this article, a case is made that affect is central in determining students' experience of learning or not learning mathematics. I show how reversal theory (Apter, 2001), and particularly its taxonomy of motivations and emotions, provides a basis for a thick description of students' experiences of learning in a mathematics classroom. Using data…

The Implementation of Cumulative Learning Theory in Calculating Triangular Prism and Tube Volumes

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Muklis, M.; Abidin, C.; Pamungkas, M. D.; Masriyah

2018-01-01

This study aims at describing the application of cumulative learning theory in calculating the volume of a triangular prism and a tube as well as revealing the students’ responses toward the learning. The research method used was descriptive qualitative with elementary school students as the subjects of the research. Data obtained through observation, field notes, questionnaire, tests, and interviews. The results from the application of cumulative learning theory obtained positive students’ responses in following the learning and students’ learning outcomes was dominantly above the average. This showed that cumulative learning could be used as a reference to be implemented in learning, so as to improve the students’ achievement.

A Visual Encapsulation of Adlerian Theory: A Tool for Teaching and Learning.

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Osborn, Cynthia J.

2001-01-01

A visual diagram is presented in this article to illustrate 6 key concepts of Adlerian theory discussed in corresponding narrative format. It is proposed that in an age of multimedia learning, a pictorial reference can enhance the teaching and learning of Adlerian theory, representing a commitment to humanistic education. (Contains 18 references.)…

Finding the Right Fit: Helping Students Apply Theory to Service-Learning Contexts

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Ricke, Audrey

2018-01-01

Background: Although past studies of service-learning focus on assessing student growth, few studies address how to support students in applying theory to their service-learning experiences. Yet, the task of applying theory is a central component of critical reflections within the social sciences in higher education and often causes anxiety among…

Classics in Chemical Neuroscience: Haloperidol.

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Tyler, Marshall W; Zaldivar-Diez, Josefa; Haggarty, Stephen J

2017-03-15

The discovery of haloperidol catalyzed a breakthrough in our understanding of the biochemical basis of schizophrenia, improved the treatment of psychosis, and facilitated deinstitutionalization. In doing so, it solidified the role for chemical neuroscience as a means to elucidate the molecular underpinnings of complex neuropsychiatric disorders. In this Review, we will cover aspects of haloperidol's synthesis, manufacturing, metabolism, pharmacology, approved and off-label indications, and adverse effects. We will also convey the fascinating history of this classic molecule and the influence that it has had on the evolution of neuropsychopharmacology and neuroscience.

Vaccination learning experiences of nursing students: a grounded theory study.

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Ildarabadi, Eshagh; Karimi Moonaghi, Hossein; Heydari, Abbas; Taghipour, Ali; Abdollahimohammad, Abdolghani

2015-01-01

This study aimed to explore the experiences of nursing students being trained to perform vaccinations. The grounded theory method was applied to gather information through semi-structured interviews. The participants included 14 undergraduate nursing students in their fifth and eighth semesters of study in a nursing school in Iran. The information was analyzed according to Strauss and Corbin's method of grounded theory. A core category of experiential learning was identified, and the following eight subcategories were extracted: students' enthusiasm, vaccination sensitivity, stress, proper educational environment, absence of prerequisites, students' responsibility for learning, providing services, and learning outcomes. The vaccination training of nursing students was found to be in an acceptable state. However, some barriers to effective learning were identified. As such, the results of this study may provide empirical support for attempts to reform vaccination education by removing these barriers.

Educational Neuroscience: Its Position, Aims and Expectations

Science.gov (United States)

van der Meulen, Anna; Krabbendam, Lydia; de Ruyter, Doret

2015-01-01

An important issue in the discussion on educational neuroscience is the transfer of thought and findings between neuroscience and education. In addition to factual confusions in this transfer in the form of neuromyths, logical confusions, or neuro-misconceptions, can be identified. We consider these transfer difficulties in light of the way…

Applied Neuroscience Laboratory Complex

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Federal Laboratory Consortium — Located at WPAFB, Ohio, the Applied Neuroscience lab researches and develops technologies to optimize Airmen individual and team performance across all AF domains....

Andragogy And Pedagogy Theories Of Learning In Joint Professional Military Education

Science.gov (United States)

2015-09-27

needs of joint military leaders. This research examines each theory and its fundamental design in an attempt to determine if pedagogy alone can meet... Abraham H. Maslow , known largely for his studies in motivation and personality, saw the goal of learning to be self-actualization, or a person’s...AU/ACSC/MCMAHON, S/AY16 AIR COMMAND AND STAFF COLLEGE AIR UNIVERSITY ANDRAGOGY AND PEDAGOGY THEORIES OF LEARNING IN JOINT PROFESSIONAL

Neuroscience and Ethics.

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Liao, S Matthew

2017-03-01

A number of people believe that results from neuroscience have the potential to settle seemingly intractable debates concerning the nature, practice, and reliability of moral judgments. In particular, Joshua Greene has argued that evidence from neuroscience can be used to advance the long-standing debate between consequentialism and deontology. This paper first argues that charitably interpreted, Greene's neuroscientific evidence can contribute to substantive ethical discussions by being part of an epistemic debunking argument. It then argues that taken as an epistemic debunking argument, Greene's argument falls short in undermining deontological judgments. Lastly, it proposes that accepting Greene's methodology at face value, neuroimaging results may in fact call into question the reliability of consequentialist judgments. The upshot is that Greene's empirical results do not undermine deontology and that Greene's project points toward a way by which empirical evidence such as neuroscientific evidence can play a role in normative debates.

Learning a commonsense moral theory.

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Kleiman-Weiner, Max; Saxe, Rebecca; Tenenbaum, Joshua B

2017-10-01

We introduce a computational framework for understanding the structure and dynamics of moral learning, with a focus on how people learn to trade off the interests and welfare of different individuals in their social groups and the larger society. We posit a minimal set of cognitive capacities that together can solve this learning problem: (1) an abstract and recursive utility calculus to quantitatively represent welfare trade-offs; (2) hierarchical Bayesian inference to understand the actions and judgments of others; and (3) meta-values for learning by value alignment both externally to the values of others and internally to make moral theories consistent with one's own attachments and feelings. Our model explains how children can build from sparse noisy observations of how a small set of individuals make moral decisions to a broad moral competence, able to support an infinite range of judgments and decisions that generalizes even to people they have never met and situations they have not been in or observed. It also provides insight into the causes and dynamics of moral change across time, including cases when moral change can be rapidly progressive, changing values significantly in just a few generations, and cases when it is likely to move more slowly. Copyright © 2017 Elsevier B.V. All rights reserved.

Using David Kolb's Experiential Learning Theory in Portfolio Development Courses.

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Mark, Michael; Menson, Betty

1982-01-01

As personal portfolio assessment matures, practitioners continue to look for techniques that enhance both personal development and the process of seeking academic credit through assessment. Kolb's experiential learning theory and learning style inventory may have applications in this search. (Author)

Using Active-Learning Pedagogy to Develop Essay-Writing Skills in Introductory Political Theory Tutorials

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Murphy, Michael P. A.

2017-01-01

Building on prior research into active learning pedagogy in political science, I discuss the development of a new active learning strategy called the "thesis-building carousel," designed for use in political theory tutorials. This use of active learning pedagogy in a graduate student-led political theory tutorial represents the overlap…

Building Artificial Vision Systems with Machine Learning

Energy Technology Data Exchange (ETDEWEB)

LeCun, Yann [New York University

2011-02-23

Three questions pose the next challenge for Artificial Intelligence (AI), robotics, and neuroscience. How do we learn perception (e.g. vision)? How do we learn representations of the perceptual world? How do we learn visual categories from just a few examples?

The homeostatic psyche: Freudian theory and somatic markers.

Science.gov (United States)

Arminjon, Mathieu; Ansermet, François; Magistretti, Pierre

2010-11-01

After years of reciprocal lack of interest, if not opposition, neuroscience and psychoanalysis are poised for a renewed dialogue. This article discusses some aspects of the Freudian metapsychology and its link with specific biological mechanisms. It highlights in particular how the physiological concept of homeostasis resonates with certain fundamental concepts of psychoanalysis. Similarly, the authors underline how the Freud and Damasio theories of brain functioning display remarkable complementarities, especially through their common reference to Meynert and James. Furthermore, the Freudian theory of drives is discussed in the light of current neurobiological evidences of neural plasticity and trace formation and of their relationships with the processes of homeostasis. The ensuing dynamics between traces and homeostasis opens novel avenues to consider inner life in reference to the establishment of fantasies unique to each subject. The lack of determinism, within a context of determinism, implied by plasticity and reconsolidation participates in the emergence of singularity, the creation of uniqueness and the unpredictable future of the subject. There is a gap in determinism inherent to biology itself. Uniqueness and discontinuity: this should today be the focus of the questions raised in neuroscience. Neuroscience needs to establish the new bases of a "discontinuous" biology. Psychoanalysis can offer to neuroscience the possibility to think of discontinuity. Neuroscience and psychoanalysis meet thus in an unexpected way with regard to discontinuity and this is a new point of convergence between them. Copyright © 2010 Elsevier Ltd. All rights reserved.

Nutritional Cognitive Neuroscience: Innovations for Healthy Brain Aging

Directory of Open Access Journals (Sweden)

Marta Karolina Zamroziewicz

2016-06-01

Full Text Available Nutritional cognitive neuroscience is an emerging interdisciplinary field of research that seeks to understand nutrition’s impact on cognition and brain health across the life span. Research in this burgeoning field demonstrates that many aspects of nutrition – from entire diets to specific nutrients – affect brain structure and function, and therefore have profound implications for understanding the nature of healthy brain aging. The aim of this Focused Review is to examine recent advances in nutritional cognitive neuroscience, with an emphasis on methods that enable discovery of nutrient biomarkers that predict healthy brain aging. We propose an integrative framework that calls for the synthesis of research in nutritional epidemiology and cognitive neuroscience, incorporating: (i methods for the precise characterization of nutritional health based on the analysis of nutrient biomarker patterns, along with (ii modern indices of brain health derived from high-resolution magnetic resonance imaging. By integrating cutting-edge techniques from nutritional epidemiology and cognitive neuroscience, nutritional cognitive neuroscience will continue to advance our understanding of the beneficial effects of nutrition on the aging brain and establish effective nutritional interventions to promote healthy brain aging.

Women in neuroscience (WIN): the first twenty years.

Science.gov (United States)

Haak, Laurel L

2002-03-01

Women in Neuroscience (WIN) is an international organization whose major goal is to promote the professional advancement of women neuroscientists. To this end, WIN facilitates contacts and communication among women working in neuroscience, and organizes appropriate activities at the annual Society for Neuroscience (SfN) meeting. WIN was created in 1980, when despite major changes and advances in 'equal opportunities', women were still not achieving a proportionate level of success in the subdiscipline of neurosciences. In 1980, women made up 40 to 50% of entering classes in medical schools or graduate programs, but often comprised only 5 to 15% of leadership in respective organizations. Although there had been women elected to serve as SfN presidents, council, and committee members, women were under-represented in other positions of the Society, such as symposium and session chairs. There was an even lesser degree of representation in leadership positions at universities and medical schools in terms of full professorships, chairs, and program directors, as well as on editorial boards, advisory boards, and councils. Over the years, WIN has worked with success toward increasing the participation of women in neuroscience.

Når neuroscience bliver til neuromyter

DEFF Research Database (Denmark)

Ejersbo, Lisser Rye

2016-01-01

Det kan være svært at skelne mellem sandt og usandt, når forskningselementer fra neuroscience bliver inddraget som argumenter for bestemte metoder indenfor undervisning. Således er det med Jo Boalers nye bog Mathematical Mindset (2016). Boalers ideer bliver brugt meget i Danmark, fordi hendes...... matematikdidaktikske pointer er både interessante og inspirerende, men hendes inddragen af begreber fra neuroscience holder desværre ikke vand....

Interactive social neuroscience to study autism spectrum disorder.

Science.gov (United States)

Rolison, Max J; Naples, Adam J; McPartland, James C

2015-03-01

Individuals with autism spectrum disorder (ASD) demonstrate difficulty with social interactions and relationships, but the neural mechanisms underlying these difficulties remain largely unknown. While social difficulties in ASD are most apparent in the context of interactions with other people, most neuroscience research investigating ASD have provided limited insight into the complex dynamics of these interactions. The development of novel, innovative "interactive social neuroscience" methods to study the brain in contexts with two interacting humans is a necessary advance for ASD research. Studies applying an interactive neuroscience approach to study two brains engaging with one another have revealed significant differences in neural processes during interaction compared to observation in brain regions that are implicated in the neuropathology of ASD. Interactive social neuroscience methods are crucial in clarifying the mechanisms underlying the social and communication deficits that characterize ASD.

Fuzzy-trace theory: dual processes in memory, reasoning, and cognitive neuroscience.

Science.gov (United States)

Brainerd, C J; Reyna, V F

2001-01-01

reasoning. More explicitly, in childhood reasoning tasks, it is assumed that both verbatim and gist traces of problem information are stored. Responding accurately to memory tests for presented problem information depends primarily on verbatim memory abilities (preserving traces of that information and accessing them when the appropriate memory probes are administered). However, accurate solutions to reasoning problems depend primarily on gist-memory abilities (extracting the correct gist from problem information, focusing on that gist during reasoning, and accessing reasoning operations that process that gist). Because verbatim and gist memories exhibit considerable dissociation, both during storage and when they are subsequently accessed on memory tests, dissociations of verbatim-based memory performance from gist-based reasoning are predictable. Conversely, associations are predicted in situations in which memory and reasoning are based on the same verbatim traces (Brainerd & Reyna, 1988) and in situations in which memory and reasoning are based on the same gist traces (Reyna & Kiernan, 1994). Fuzzy-trace theory's memory and reasoning principles have been applied in other research domains. Four such domains are developmental cognitive neuroscience studies of false memory, studies of false memory in brain-damaged patients, studies of reasoning errors in judgment and decision making, and studies of retrieval mechanisms in recall. In the first domain, the principles of parallel verbatim-gist storage, dissociated verbatim-gist retrieval, and identity/similarity processes have been used to explain both spontaneous and implanted false reports in children and in the elderly. These explanations have produced some surprising predictions that have been verified: false reports do not merely decline with age during childhood but increase under theoretically specified conditions; reports of events that were not experienced can nevertheless be highly persistent over time; and false

Prior Knowledge and the Learning of Science. A Review of Ausubel's Theory of This Process

Science.gov (United States)

West, L. H. T.; Fensham, P. J.

1974-01-01

Examines Ausubel's theory of learning as a model of the role concerning the influence of prior knowledge on how learning occurs. Research evidence for Ausubel's theory is presented and discussed. Implications of Ausubel's theory for teaching are summarized. (PEB)

The Self-Perception Theory vs. a Dynamic Learning Model

OpenAIRE

Swank, Otto H.

2006-01-01

Several economists have directed our attention to a finding in the social psychological literature that extrinsic motivation may undermine intrinsic motivation. The self-perception (SP) theory developed by Bem (1972) explains this finding. The crux of this theory is that people remember their past decisions and the extrinsic rewards they received, but they do not recall their intrinsic motives. In this paper I show that the SP theory can be modeled as a variant of a conventional dynamic learn...

Presentation-Practice-Production and Task-Based Learning in the Light of Second Language Learning Theories.

Science.gov (United States)

Ritchie, Graeme

2003-01-01

Features of presentation-practice-production (PPP) and task-based learning (TBL) models for language teaching are discussed with reference to language learning theories. Pre-selection of target structures, use of controlled repetition, and explicit grammar instruction in a PPP lesson are given. Suggests TBL approaches afford greater learning…

Sociocultural Theory Applied to Second Language Learning: Collaborative Learning with Reference to the Chinese Context

Science.gov (United States)

Dongyu, Zhang; Fanyu, B.; Wanyi, Du

2013-01-01

This paper discusses the sociocultural theory (SCT). In particular, three significant concepts of Vyogtsky's theory: self-regulation, the Zone of Proximal Development (ZPD), and scaffolding all of which have been discussed in numerous second language acquisition (SLA) and second language learning (SLL) research papers. These concepts lay the…

Superfluous neuroscience information makes explanations of psychological phenomena more appealing.

Science.gov (United States)

Fernandez-Duque, Diego; Evans, Jessica; Christian, Colton; Hodges, Sara D

2015-05-01

Does the presence of irrelevant neuroscience information make explanations of psychological phenomena more appealing? Do fMRI pictures further increase that allure? To help answer these questions, 385 college students in four experiments read brief descriptions of psychological phenomena, each one accompanied by an explanation of varying quality (good vs. circular) and followed by superfluous information of various types. Ancillary measures assessed participants' analytical thinking, beliefs on dualism and free will, and admiration for different sciences. In Experiment 1, superfluous neuroscience information increased the judged quality of the argument for both good and bad explanations, whereas accompanying fMRI pictures had no impact above and beyond the neuroscience text, suggesting a bias that is conceptual rather than pictorial. Superfluous neuroscience information was more alluring than social science information (Experiment 2) and more alluring than information from prestigious "hard sciences" (Experiments 3 and 4). Analytical thinking did not protect against the neuroscience bias, nor did a belief in dualism or free will. We conclude that the "allure of neuroscience" bias is conceptual, specific to neuroscience, and not easily accounted for by the prestige of the discipline. It may stem from the lay belief that the brain is the best explanans for mental phenomena.

Learning theory and its application to the use of social media in medical education.

Science.gov (United States)

Flynn, Leslie; Jalali, Alireza; Moreau, Katherine A

2015-10-01

There is rapidly increasing pressure to employ social media in medical education, but a review of the literature demonstrates that its value and role are uncertain. To determine if medical educators have a conceptual framework that informs their use of social media and whether this framework can be mapped to learning theory. Thirty-six participants engaged in an iterative, consensus building process that identified their conceptual framework and determined if it aligned with one or more learning theories. The results show that the use of social media by the participants could be traced to two dominant theories-Connectivism and Constructivism. They also suggest that many medical educators may not be fully informed of these theories. Medical educators' use of social media can be traced to learning theories, but these theories may not be explicitly utilised in instructional design. It is recommended that formal education (faculty development) around learning theory would further enhance the use of social media in medical education. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Neural fields theory and applications

CERN Document Server

Graben, Peter; Potthast, Roland; Wright, James

2014-01-01

With this book, the editors present the first comprehensive collection in neural field studies, authored by leading scientists in the field - among them are two of the founding-fathers of neural field theory. Up to now, research results in the field have been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. Starting with a tutorial for novices in neural field studies, the book comprises chapters on emergent patterns, their phase transitions and evolution, on stochastic approaches, cortical development, cognition, robotics and computation, large-scale numerical simulations, the coupling of neural fields to the electroencephalogram and phase transitions in anesthesia. The intended readership are students and scientists in applied mathematics, theoretical physics, theoretical biology, and computational neuroscience. Neural field theory and its applications have a long-standing tradition in the mathematical and computational ...

Midwifery students learning experiences in labor wards: a grounded theory.

Science.gov (United States)

Brunstad, Anne; Hjälmhult, Esther

2014-12-01

The labor ward is an important and challenging learning area for midwifery students. It is there the students learn in authentic complex situations, in intimate situations, with potential risk for the life and health of mothers and their babies. The aim of this study was to explore the main concern expressed by midwifery students in labor wards and how they handled this concern. A longitudinal study based on grounded theory methodology was used. The participants were 10 postgraduate midwifery students, from a University College in Norway. Data were gathered and analyzed throughout the 2-year postgraduate program, in the students first, third and fourth semesters. Every student was interviewed three times in a total of 15 single and three focus-group sessions. The grounded theory of "building relationships" explains how students dealt with their main concern: "how to gain access to learning experiences". This theory consisted of three strategies; a) controlling vulnerability, b) cultivating trust and c) obtaining acceptance. Clarifying discussions involving midwives and students may facilitate the process of building relationships and contribute to confident learning. Students appreciate it when the midwives initiate discussions about acute situations and state that a novice may perceive labor and childbirth as more frightening than an experienced midwife would. Copyright © 2014 Elsevier Ltd. All rights reserved.

What learning theories can teach us in designing neurofeedback treatments

Directory of Open Access Journals (Sweden)

Ute eStrehl

2014-11-01

Full Text Available Popular definitions of neurofeedback point out that neurofeedback is a process of operant conditioning which leads to self-regulation of brain activity. Self-regulation of brain activity is considered to be a skill. The aim of this paper is to clarify that not only operant conditioning plays a role in the acquisition of this skill. In order to design the learning process additional references have to be derived from classical conditioning, two-process-theory and in particular from skill learning and research into motivational aspects. The impact of learning by trial and error, cueing of behavior, feedback, reinforcement, and knowledge of results as well as transfer of self-regulation skills into everyday life will be analyzed in this paper. In addition to these learning theory basics this paper tries to summarize the knowledge about acquisition of self-regulation from neurofeedback studies with a main emphasis on clinical populations. As a conclusion it is hypothesized that learning to self-regulate has to be offered in a psychotherapeutic, i.e. behavior therapy framework.

What learning theories can teach us in designing neurofeedback treatments.

Science.gov (United States)

Strehl, Ute

2014-01-01

Popular definitions of neurofeedback point out that neurofeedback is a process of operant conditioning which leads to self-regulation of brain activity. Self-regulation of brain activity is considered to be a skill. The aim of this paper is to clarify that not only operant conditioning plays a role in the acquisition of this skill. In order to design the learning process additional references have to be derived from classical conditioning, two-process-theory and in particular from skill learning and research into motivational aspects. The impact of learning by trial and error, cueing of behavior, feedback, reinforcement, and knowledge of results as well as transfer of self-regulation skills into everyday life will be analyzed in this paper. In addition to these learning theory basics this paper tries to summarize the knowledge about acquisition of self-regulation from neurofeedback studies with a main emphasis on clinical populations. As a conclusion it is hypothesized that learning to self-regulate has to be offered in a psychotherapeutic, i.e., behavior therapy framework.

[Comparison of the concept of "responsibility" in neuroscience and in French criminal law: A cross-literature review for the psychiatric forensic practice].

Science.gov (United States)

Galland, Damien; Jonas, Carol; Jardri, Renaud; Wilquin, Maroussia; Cottencin, Olivier; Thomas, Pierre; Rolland, Benjamin

2016-06-01

In forensic psychiatry, experts have to determine the level of responsibility of a subject with regard to their acts. Neuroscience and cognitive sciences have been increasingly studying the brain functions that are supposed to underlie individual responsibility. In neuroscience, impairment of responsibility is underlain by disruptions of different types of cognitive processes. This processes are executive functions, theory of mind, agency, volition and empathy. In the juridical conception, the term of responsibility refers to a broader perspective than in the neuroscientific approach. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Clinical management departments for the neurosciences.

Science.gov (United States)

Matías-Guiu, J; García-Ramos, R; Ramos, M; Soto, J

2016-01-01

Neuroscience-related clinical management departments (UGC in Spanish) represent a means of organising hospitals to deliver patient-centred care as well as specific clinical and administrative management models. The authors review the different UGC models in Spain and their implementation processes as well as any functional problems. We pay special attention to departments treating neurological patients. Neuroscience-related specialties may offer a good framework for the units that they contain. This may be due to the inherent variability and costs associated with neurological patients, the vital level of coordination that must be present between units providing care, and probably to the dynamic nature of the neurosciences as well. Difficulties associated with implementing and gaining acceptance for the new model have limited such UGCs until now. Copyright © 2013 Sociedad Española de Neurología. Published by Elsevier España, S.L.U. All rights reserved.

An Attitudinal Survey of Undergraduate Neuroscience Students Regarding Their Views on the Relevance of Lectures to their Education.

Science.gov (United States)

O'Keeffe, Gerard W; Sullivan, Aideen M; McCarthy, Marian M

2017-01-01

Advances in technology have seen a significant growth in the integration of e-learning into university education. Coupled with this trend are the learning approaches used by "Generation Connected" or GenC students, whose prolific use of digital technology is a defining characteristic. This has resulted in questions being asked as to whether in-class university lecture time is still relevant to university education. Here we conducted a case study with a group of undergraduate neuroscience students to assess their views on the relevance of attending lectures, why they attend or the reasons for non-attendance, and on what makes a good lecture. This is with a view to informing the design of new teaching approaches that may be more beneficial in maximising student engagement, and facilitating learning. The survey instrument was a ten-item questionnaire that collected both qualitative and quantitative data. Over 90% of students were of the view that lectures were beneficial to their learning, while only 4% thought they were an outdated mode of education. Three main themes emerged when students were asked what makes a good lecture: 1. Engagement, 2. Time, and 3. Varied format. We discuss the implications of these findings and suggest how these student views could be woven into the design of teaching approaches to increase the relevance of in-class lecture time in undergraduate neuroscience education.

Processes of Self-Regulated Learning in Music Theory in Elementary Music Schools in Slovenia

Science.gov (United States)

Fritz, Barbara Smolej; Peklaj, Cirila

2011-01-01

The aim of our study was determine how students regulate their learning in music theory (MT). The research is based on the socio-cognitive theory of learning. The aim of our study was twofold: first, to design the instruments for measuring (meta)cognitive and affective-motivational processes in learning MT, and, second, to examine the relationship…

Writing to Learn: An Evaluation of the Calibrated Peer Review™ Program in Two Neuroscience Courses

Science.gov (United States)

Prichard, J. Roxanne

2005-01-01

Although the majority of scientific information is communicated in written form, and peer review is the primary process by which it is validated, undergraduate students may receive little direct training in science writing or peer review. Here, I describe the use of Calibrated Peer Review™ (CPR), a free, web-based writing and peer review program designed to alleviate instructor workload, in two undergraduate neuroscience courses: an upper- level sensation and perception course (41 students, three assignments) and an introductory neuroscience course (50 students; two assignments). Using CPR online, students reviewed primary research articles on assigned ‘hot’ topics, wrote short essays in response to specific guiding questions, reviewed standard ‘calibration’ essays, and provided anonymous quantitative and qualitative peer reviews. An automated grading system calculated the final scores based on a student’s essay quality (as determined by the average of three peer reviews) and his or her accuracy in evaluating 1) three standard calibration essays, 2) three anonymous peer reviews, and 3) his or her self review. Thus, students were assessed not only on their skill at constructing logical, evidence-based arguments, but also on their ability to accurately evaluate their peers’ writing. According to both student self-reports and instructor observation, students’ writing and peer review skills improved over the course of the semester. Student evaluation of the CPR program was mixed; while some students felt like the peer review process enhanced their understanding of the material and improved their writing, others felt as though the process was biased and required too much time. Despite student critiques of the program, I still recommend the CPR program as an excellent and free resource for incorporating more writing, peer review, and critical thinking into an undergraduate neuroscience curriculum. PMID:23493247

Occupational therapy students in the process of interprofessional collaborative learning: a grounded theory study.

Science.gov (United States)

Howell, Dana

2009-01-01

The purpose of this grounded theory study was to generate a theory of the interprofessional collaborative learning process of occupational therapy (OT) students who were engaged in a collaborative learning experience with students from other allied health disciplines. Data consisted of semi-structured interviews with nine OT students from four different interprofessional collaborative learning experiences at three universities. The emergent theory explained OT students' need to build a culture of mutual respect among disciplines in order to facilitate interprofessional collaborative learning. Occupational therapy students went through a progression of learned skills that included learning how to represent the profession of OT, hold their weight within a team situation, solve problems collaboratively, work as a team, and ultimately, to work in an actual team in practice. This learning process occurred simultaneously as students also learned course content. The students had to contend with barriers and facilitators that influenced their participation and the success of their collaboration. Understanding the interprofessional learning process of OT students will help allied health faculty to design more effective, inclusive interprofessional courses.

Not that Different in Theory: Discussing the Control-Value Theory of Emotions in Online Learning Environments

Science.gov (United States)

Daniels, Lia M.; Stupnisky, Robert H.

2012-01-01

This commentary investigates the extent to which the control-value theory of emotions (Pekrun, 2006) is applicable in online learning environments. Four empirical studies in this special issue of "The Internet and Higher Education" explicitly used the control-value theory as their theoretical framework and several others have components of the…

Quantum physics in neuroscience and psychology: A neurophysicalmodel of the mind/brain interaction

Energy Technology Data Exchange (ETDEWEB)

Schwartz, Jeffrey M.; Stapp, Henry P.; Beauregard, Mario

2004-09-21

Neuropsychological research on the neural basis of behavior generally posits that brain mechanisms will ultimately suffice to explain all psychologically described phenomena. This assumption stems from the idea that the brain is made up entirely of material particles and fields, and that all causal mechanisms relevant to neuroscience can therefore be formulated solely in terms of properties of these elements. Thus terms having intrinsic mentalistic and/or experiential content (e.g., ''feeling,'' ''knowing,'' and ''effort'') are not included as primary causal factors. This theoretical restriction is motivated primarily by ideas about the natural world that have been known to be fundamentally incorrect for more than three quarters of a century. Contemporary basic physical theory differs profoundly from classical physics on the important matter of how the consciousness of human agents enters into the structure of empirical phenomena. The new principles contradict the older idea that local mechanical processes alone can account for the structure of all observed empirical data. Contemporary physical theory brings directly and irreducibly into the overall causal structure certain psychologically described choices made by human agents about how they will act. This key development in basic physical theory is applicable to neuroscience, and it provides neuroscientists and psychologists with an alternative conceptual framework for describing neural processes. Indeed, due to certain structural features of ion channels critical to synaptic function, contemporary physical theory must in principle be used when analyzing human brain dynamics. The new framework, unlike its classical-physics-based predecessor is erected directly upon, and is compatible with, the prevailing principles of physics, and is able to represent more adequately than classical concepts the neuroplastic mechanisms relevant to the growing number of

And the Winner Is: Inviting Hollywood into the Neuroscience Classroom

Science.gov (United States)

Wiertelak, Eric P.

2002-01-01

Both short excerpts from, and full-length presentation of feature films have been used with success in undergraduate instruction. Studies of such use of films has revealed that incorporation of film viewing within courses can promote both content mastery and the development of critical thinking skills. This article discusses and provides examples of successful use of two methods that may be used to incorporate a variety of full-length feature films into neuroscience instruction. One, the “neuro-cinema” pairs the presentation of a film featuring extensive neuroscience content with primary literature reading assignments, group discussion and writing exercises. The second, a neuroscience film series, features group discussion of movies of perhaps more limited relevance to neuroscience. An additional goal of this article is provide the reader with initial resources for the selection of potential film titles for use in neuroscience education. Three extensive tables are included to provide a wide range of title suggestions appropriate for use in activities such as the neuro-cinema, the neuroscience film series, or for more limited use as short “clips” in classroom instruction. PMID:23493171

Kolb's Experiential Learning Theory: A Meta-Model for Career Exploration.

Science.gov (United States)

Atkinson, George, Jr.; Murrell, Patricia H.

1988-01-01

Kolb's experiential learning theory offers the career counselor a meta-model with which to structure career exploration exercises and ensure a thorough investigation of self and the world of work in a manner that provides the client with an optimal amount of learning and personal development. (Author)

Assessing Student Learning in Academic Advising Using Social Cognitive Theory

Science.gov (United States)

Erlich, Richard J.; Russ-Eft, Darlene F.

2013-01-01

We investigated whether the social cognitive theory constructs of self-efficacy and self-regulated learning apply to academic advising for measuring student learning outcomes. Community college students (N = 120) participated in an individual academic-advising session. We assessed students' post-intervention self-efficacy in academic planning and…

Using theories of learning in workplaces to enhance physiotherapy clinical education.

Science.gov (United States)

Patton, Narelle; Higgs, Joy; Smith, Megan

2013-10-01

Clinical education has long been accepted as integral to the education of physiotherapy students and their preparation for professional practice. The clinical environment, through practice immersion, situates students in a powerful learning context and plays a critical role in students' construction of professional knowledge. Despite this acknowledged centrality of practice and clinical environments to the students' experiential construction of professional knowledge, there has been limited exploration of learning theories underpinning clinical education in the literature. In this paper, we explore a selection of learning theories underpinning physiotherapy clinical education with a view to providing clinical educators with a firm foundation on which to base wise educational practices and potentially enhance physiotherapy students' clinical learning experiences. This exploration has drawn from leading thinkers in the field of education over the past century.

Moral Learning: Conceptual foundations and normative relevance.

Science.gov (United States)

Railton, Peter

2017-10-01

What is distinctive about a bringing a learning perspective to moral psychology? Part of the answer lies in the remarkable transformations that have taken place in learning theory over the past two decades, which have revealed how powerful experience-based learning can be in the acquisition of abstract causal and evaluative representations, including generative models capable of attuning perception, cognition, affect, and action to the physical and social environment. When conjoined with developments in neuroscience, these advances in learning theory permit a rethinking of fundamental questions about the acquisition of moral understanding and its role in the guidance of behavior. For example, recent research indicates that spatial learning and navigation involve the formation of non-perspectival as well as ego-centric models of the physical environment, and that spatial representations are combined with learned information about risk and reward to guide choice and potentiate further learning. Research on infants provides evidence that they form non-perspectival expected-value representations of agents and actions as well, which help them to navigate the human environment. Such representations can be formed by highly-general mental processes such as causal and empathic simulation, and thus afford a foundation for spontaneous moral learning and action that requires no innate moral faculty and can exhibit substantial autonomy with respect to community norms. If moral learning is indeed integral with the acquisition and updating of casual and evaluative models, this affords a new way of understanding well-known but seemingly puzzling patterns in intuitive moral judgment-including the notorious "trolley problems." Copyright © 2016 The Author. Published by Elsevier B.V. All rights reserved.

From the social learning theory to a social learning algorithm for global optimization

OpenAIRE

Gong, Yue-Jiao; Zhang, Jun; Li, Yun

2014-01-01

Traditionally, the Evolutionary Computation (EC) paradigm is inspired by Darwinian evolution or the swarm intelligence of animals. Bandura's Social Learning Theory pointed out that the social learning behavior of humans indicates a high level of intelligence in nature. We found that such intelligence of human society can be implemented by numerical computing and be utilized in computational algorithms for solving optimization problems. In this paper, we design a novel and generic optimization...

High School Students' Implicit Theories of What Facilitates Science Learning

Science.gov (United States)

Parsons, Eileen Carlton; Miles, Rhea; Petersen, Michael

2011-01-01

Background: Research has primarily concentrated on adults' implicit theories about high quality science education for all students. Little work has considered the students' perspective. This study investigated high school students' implicit theories about what helped them learn science. Purpose: This study addressed (1) What characterizes high…

The contributions of cognitive neuroscience and neuroimaging to understanding mechanisms of behavior change in addiction.

Science.gov (United States)

Morgenstern, Jon; Naqvi, Nasir H; Debellis, Robert; Breiter, Hans C

2013-06-01

In the last decade, there has been an upsurge of interest in understanding the mechanisms of behavior change (MOBC) and effective behavioral interventions as a strategy to improve addiction-treatment efficacy. However, there remains considerable uncertainty about how treatment research should proceed to address the MOBC issue. In this article, we argue that limitations in the underlying models of addiction that inform behavioral treatment pose an obstacle to elucidating MOBC. We consider how advances in the cognitive neuroscience of addiction offer an alternative conceptual and methodological approach to studying the psychological processes that characterize addiction, and how such advances could inform treatment process research. In addition, we review neuroimaging studies that have tested aspects of neurocognitive theories as a strategy to inform addiction therapies and discuss future directions for transdisciplinary collaborations across cognitive neuroscience and MOBC research. 2013 APA, all rights reserved

Collaborative Learning in an Undergraduate Theory Course: An Assessment of Goals and Outcomes

Science.gov (United States)

McDuff, Elaine

2012-01-01

This project was designed to assess whether a collaborative learning approach to teaching sociological theory would be a successful means of improving student engagement in learning theory and of increasing both the depth of students' understanding of theoretical arguments and concepts and the ability of students to theorize for themselves. A…

Implications of Bandura's Observational Learning Theory for a Competency Based Teacher Education Model.

Science.gov (United States)

Hartjen, Raymond H.

Albert Bandura of Stanford University has proposed four component processes to his theory of observational learning: a) attention, b) retention, c) motor reproduction, and d) reinforcement and motivation. This study represents one phase of an effort to relate modeling and observational learning theory to teacher training. The problem of this study…

Self Modeling: Expanding the Theories of Learning

Science.gov (United States)

Dowrick, Peter W.

2012-01-01

Self modeling (SM) offers a unique expansion of learning theory. For several decades, a steady trickle of empirical studies has reported consistent evidence for the efficacy of SM as a procedure for positive behavior change across physical, social, educational, and diagnostic variations. SM became accepted as an extreme case of model similarity;…

Learning Organisation Review--A "Good" Theory Perspective

Science.gov (United States)

Santa, Mijalce

2015-01-01

Purpose: The purpose of this paper is to perform integrative literature review of the learning organisation (LO) concept, on the basis of the results of the literature review to assess the concept on the principles of "good" theory, and provide future avenues for LO concept clarification and development. Design/methodology/approach: The…

Contextual learning theory: Concrete form and a software prototype to improve early education.

NARCIS (Netherlands)

Mooij, Ton

2016-01-01

In 'contextual learning theory' three types of contextual conditions (differentiation of learning procedures and materials, integrated ICT support, and improvement of development and learning progress) are related to four aspects of the learning process (diagnostic, instructional, managerial, and

Kolb's Experiential Learning Theory and Its Application in Geography in Higher Education.

Science.gov (United States)

Healey, Mick; Jenkins, Alan

2000-01-01

Describes David Kolb's experiential learning theory focusing on the main features of his theory. Applies Kolb's theory to the teaching of geography addressing ideas such as teaching how theories of gender explain aspects of suburbia, teaching a field course, and encouraging staff to rethink their teaching style. Include references. (CMK)

Inadequate Evidence for Multiple Intelligences, Mozart Effect, and Emotional Intelligence Theories

Science.gov (United States)

Waterhouse, Lynn

2006-01-01

I (Waterhouse, 2006) argued that, because multiple intelligences, the Mozart effect, and emotional intelligence theories have inadequate empirical support and are not consistent with cognitive neuroscience findings, these theories should not be applied in education. Proponents countered that their theories had sufficient empirical support, were…

Position Statement on Motivations, Methodologies, and Practical Implications of Educational Neuroscience Research: fMRI Studies of the Neural Correlates of Creative Intelligence

Science.gov (United States)

Geake, John

2011-01-01

In this position statement it is argued that educational neuroscience must necessarily be relevant to, and therefore have implications for, both educational theory and practice. Consequently, educational neuroscientific research necessarily must embrace educational research questions in its remit.

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

Science.gov (United States)

Bektas, Murat; Ozturk, Candan; Armstrong, Merry

2010-01-01

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