Adult Literacy in the United States: A Compendium of Qualitative Data and Interpretive Comments. Research to Practice.

ERIC Educational Resources Information Center

Armstrong, William B.; Sticht, Thomas G.

Human cognitive system and information processing theories were used as the theoretical base that frames an interpretation of adult literacy research from World War I (WWI) through 1993. These theoretical perspectives are as follows: (1) literacy learning is grounded in a distinct developmental sequence; and (2) literacy learning is dependent on…

Learning in Social Action: A Contribution to Understanding Informal Education. Global Perspectives on Adult Education and Training.

ERIC Educational Resources Information Center

Foley, Griff

This book argues the importance of the incidental learning that can occur when people become involved in voluntary organizations, social struggles, and political activity. Chapter 1 introduces the case studies of informal learning in social struggle used to develop the argument and outlines the theoretical framework within which the case studies…

Learning Outside of Classroom: Exploring the Active Part of an Informal Online English Learning Community in China

ERIC Educational Resources Information Center

Sun, Yanyan; Franklin, Teresa; Gao, Fei

2017-01-01

This study explored how the GRE Analytical Writing Section Discussion Forum, an informal online language learning community in China, functioned to support its members to improve their English writing proficiency. The Community of Inquiry (CoI) model was used as the theoretical framework to explore the existence of teaching presence, cognitive…

"My Understanding Has Grown, My Perspective Has Switched": Linking Informal Writing to Learning Goals

ERIC Educational Resources Information Center

Hudd, Suzanne S.; Smart, Robert A.; Delohery, Andrew W.

2011-01-01

The use of informal writing is common in sociology. This article presents one model for integrating informal written work with learning goals through a theoretical framework known as concentric thinking. More commonly referred to as "the PTA model" because of the series of cognitive tasks it promotes--prioritization, translation, and analogy…

Why Service-Learning?

ERIC Educational Resources Information Center

Speck, Bruce W.

2001-01-01

Describes two significant theoretical approaches to service learning (philanthropic and civil) so that professors are aware of two different impulses that inform service learning. In addition, addresses three critical concerns about service learning: it takes too much time and too many resources, it should not be required, and it should be…

The Role of Reader Characteristics in Processing and Learning from Informational Text

ERIC Educational Resources Information Center

Fox, Emily

2009-01-01

This article considers the role of reader characteristics in processing and learning from informational text, as revealed in think-aloud research. A theoretical framework for relevant aspects of readers' processing and products was developed. These relevant aspects included three attentional foci for processing (comprehension, monitoring, and…

Approaches to Learning Information Literacy: A Phenomenographic Study

ERIC Educational Resources Information Center

Diehm, Rae-Anne; Lupton, Mandy

2012-01-01

This paper reports on an empirical study that explores the ways students approach learning to find and use information. Based on interviews with 15 education students in an Australian university, this study uses phenomenography as its methodological and theoretical basis. The study reveals that students use three main strategies for learning…

Risks and Opportunities in the Age of Information Technology: E-Learning, Commercialization, and Measures of Success.

ERIC Educational Resources Information Center

Rhodes, Elizabeth Moore

This position paper describes a theoretical framework for learning that encompasses new conceptions of learning, namely learning as social practice, new views of the learner as self-directed, and paradigm shifts in learning as it is mandated in new social contexts. Social learning theory, especially that of situated learning, provides a new…

A Learning Progressions Approach to Early Algebra Research and Practice

ERIC Educational Resources Information Center

Fonger, Nicole L.; Stephens, Ana; Blanton, Maria; Knuth, Eric

2015-01-01

We detail a learning progressions approach to early algebra research and how existing work around learning progressions and trajectories in mathematics and science education has informed our development of a four-component theoretical framework consisting of: a curricular progression of learning goals across big algebraic ideas; an instructional…

Scientific thinking in young children: theoretical advances, empirical research, and policy implications.

PubMed

Gopnik, Alison

2012-09-28

New theoretical ideas and empirical research show that very young children's learning and thinking are strikingly similar to much learning and thinking in science. Preschoolers test hypotheses against data and make causal inferences; they learn from statistics and informal experimentation, and from watching and listening to others. The mathematical framework of probabilistic models and Bayesian inference can describe this learning in precise ways. These discoveries have implications for early childhood education and policy. In particular, they suggest both that early childhood experience is extremely important and that the trend toward more structured and academic early childhood programs is misguided.

Integrating Concept Mapping into Information Systems Education for Meaningful Learning and Assessment

ERIC Educational Resources Information Center

Wei, Wei; Yue, Kwok-Bun

2017-01-01

Concept map (CM) is a theoretically sound yet easy to learn tool and can be effectively used to represent knowledge. Even though many disciplines have adopted CM as a teaching and learning tool to improve learning effectiveness, its application in IS curriculum is sparse. Meaningful learning happens when one iteratively integrates new concepts and…

A neuromathematical model of human information processing and its application to science content acquisition

NASA Astrophysics Data System (ADS)

Anderson, O. Roger

The rate of information processing during science learning and the efficiency of the learner in mobilizing relevant information in long-term memory as an aid in transmitting newly acquired information to stable storage in long-term memory are fundamental aspects of science content acquisition. These cognitive processes, moreover, may be substantially related in tempo and quality of organization to the efficiency of higher thought processes such as divergent thinking and problem-solving ability that characterize scientific thought. As a contribution to our quantitative understanding of these fundamental information processes, a mathematical model of information acquisition is presented and empirically evaluated in comparison to evidence obtained from experimental studies of science content acquisition. Computer-based models are used to simulate variations in learning parameters and to generate the theoretical predictions to be empirically tested. The initial tests of the predictive accuracy of the model show close agreement between predicted and actual mean recall scores in short-term learning tasks. Implications of the model for human information acquisition and possible future research are discussed in the context of the unique theoretical framework of the model.

The Role of Teacher's Authority in Students' Learning

ERIC Educational Resources Information Center

Esmaeili, Zohreh; Mohamadrezai, Hosein; Mohamadrezai, Abdolah

2015-01-01

The current article attempts to examine the relation between authority styles of teachers and learning of students of secondary school of district 9 Tehran. The researcher has collected theoretical information by library method and then arranged the field information from teachers of secondary schools of district 9 of Tehran by questionnaire; the…

Distance Learning and Non-Formal Education: Existing Trends and New Possibilities of Distance Learning Experiences.

ERIC Educational Resources Information Center

Romi, Shlomo

2000-01-01

Reviews the characteristics of non-formal education as expressed in various academic-theoretical definitions, presents the links in this field to distance learning, and recommends future directions for exploring distance learning in non-formal education. Discusses the use of information and communication technology and considers problems with…

Five Faces of Cognition: Theoretical Influences on Approaches to Learning Disabilities.

ERIC Educational Resources Information Center

Hresko, Wayne P.; Reid, D. Kim

1981-01-01

The label "cognitive" has been used to designate five substantially different approaches to the study of learning disabilities: information processing, metacognition, genetic epistemology, cognitive behavior modification, and the specific abilities model. (Author)

Probability density function learning by unsupervised neurons.

PubMed

Fiori, S

2001-10-01

In a recent work, we introduced the concept of pseudo-polynomial adaptive activation function neuron (FAN) and presented an unsupervised information-theoretic learning theory for such structure. The learning model is based on entropy optimization and provides a way of learning probability distributions from incomplete data. The aim of the present paper is to illustrate some theoretical features of the FAN neuron, to extend its learning theory to asymmetrical density function approximation, and to provide an analytical and numerical comparison with other known density function estimation methods, with special emphasis to the universal approximation ability. The paper also provides a survey of PDF learning from incomplete data, as well as results of several experiments performed on real-world problems and signals.

Overview of Mediated Courseware in Learning Centers.

ERIC Educational Resources Information Center

Spangenberg, Ronald W.

A limited overview of some media related factors, this document should be helpful to the learning center manager who lacks extensive experience with media. It discusses important theoretical factors associated with media selection and summarizes research concerning the use of color and of motion in learning. Descriptive information concerning…

Theoretical Foundations for Enhancing Social Connectedness in Online Learning Environments

ERIC Educational Resources Information Center

Slagter van Tryon, Patricia J.; Bishop, M. J.

2009-01-01

Group social structure provides a comfortable and predictable context for interaction in learning environments. Students in face-to-face learning environments process social information about others in order to assess traits, predict behaviors, and determine qualifications for assuming particular responsibilities within a group. In online learning…

Networked Learning for Agricultural Extension: A Framework for Analysis and Two Cases

ERIC Educational Resources Information Center

Kelly, Nick; Bennett, John McLean; Starasts, Ann

2017-01-01

Purpose: This paper presents economic and pedagogical motivations for adopting information and communications technology (ICT)- mediated learning networks in agricultural education and extension. It proposes a framework for networked learning in agricultural extension and contributes a theoretical and case-based rationale for adopting the…

Transformative Learning and Online Education: Aesthetics, Dimensions and Concepts

ERIC Educational Resources Information Center

Yuzer, T. Volkan, Ed.; Kurubacak, Gulsun, Ed.

2010-01-01

Understanding how to prepare transformative learning sessions and courses and design an environment for prospective online learners is a critical, as it facilitates the transfer of information, knowledge and learning from theoretical forms to real life experiences. This book provides an understanding and comprehension of aesthetics and its…

Protest as Pedagogy: Exploring Teaching and Learning in Indigenous Environmental Movements

ERIC Educational Resources Information Center

Lowan-Trudeau, Gregory

2017-01-01

This article reports on a recent study into the experiences of Indigenous and allied environmental activists with teaching and learning during and as a result of Indigenous environmental movements. This inquiry is grounded in a theoretical framework informed by decolonization and cultural revitalization, social movement learning, and repressive…

Mobile City and Language Guides--New Links between Formal and Informal Learning Environments

ERIC Educational Resources Information Center

Bo-Kristensen, Mads; Ankerstjerne, Niels Ole; Neutzsky-Wulff, Chresteria; Schelde, Herluf

2009-01-01

One of the major challenges in second and foreign language education, is to create links between formal and informal learning environments. Mobile City and Language Guides present examples of theoretical and practical reflections on such links. This paper presents and discusses the first considerations of Mobile City and Language Guides in…

Predictors of E-Learning Satisfaction in Teaching and Learning for School Teachers: A Literature Review

ERIC Educational Resources Information Center

Cheok, Mei Lick; Wong, Su Luan

2015-01-01

This paper develops a theoretical model of the determinants of e-learning satisfaction in teaching and learning among secondary school teachers. It is based on reviews of past studies on satisfaction in using information technology systems. Three potential groups of determinants of satisfaction among secondary school teachers were identified;…

Effects of a National Public Service Information Campaign on Crime Prevention: Perspectives from Social Learning and Social Control Theory.

ERIC Educational Resources Information Center

Lordan, Edward J.; Kwon, Joongrok

This study examined the effects of public service advertising from two theoretical backgrounds: social learning theory and social control theory. Traditional social learning theory assumes that learning occurs by subjects performing responses and experiencing their effects, with reinforcement as the main determinant. Social control theory, as…

[Verbal patient information through nurses--a case of stroke patients].

PubMed

Christmann, Elli; Holle, Regina; Schüssler, Dörte; Beier, Jutta; Dassen, Theo

2004-06-01

The article represents results of a theoretical work in the field of nursing education, with the topic: Verbal Patient Information through Nurses--A Case of Stroke Patients. The literature review and analysis show that there is a shortage in (stroke) patient information generally and a lack of successful concepts and strategies for the verbal (stroke) patient information through nurses in hospitals. The authors have developed a theoretical basis for health information as a nursing intervention and this represents a model of health information as a "communicational teach-and-learn process", which is of general application to all patients. The health information takes place as a separate nursing intervention within a non-public, face-to-face communication situation and in the steps-model of the nursing process. Health information is seen as a learning process for patients and nurses too. We consider learning as information production (constructivism) and information processing (cognitivism). Both processes are influenced by different factors and the illness-situation of patients, personality information content and the environment. For a successful health information output, it is necessary to take care of these aspects and this can be realized through a constructivational understanding of didactics. There is a need for an evaluation study to prove our concept of health information.

Social learning and the development of individual and group behaviour in mammal societies

PubMed Central

Thornton, Alex; Clutton-Brock, Tim

2011-01-01

As in human societies, social learning may play an important role in shaping individual and group characteristics in other mammals. Here, we review research on non-primate mammals, concentrating on work at our long-term meerkat study site, where longitudinal data and field experiments have generated important insights into the role of social learning under natural conditions. Meerkats live under high predation pressure and occupy a difficult foraging niche. Accordingly, pups make extensive use of social information in learning to avoid predation and obtain food. Where individual learning is costly or opportunities are lacking, as in the acquisition of prey-handling skills, adults play an active role in promoting learning through teaching. Social learning can also cause information to spread through groups, but our data suggest that this does not necessarily result in homogeneous, group-wide traditions. Moreover, traditions are commonly eroded by individual learning. We suggest that traditions will only persist where there are high costs of deviating from the group norm or where skill development requires extensive time and effort. Persistent traditions could, theoretically, modify selection pressures and influence genetic evolution. Further empirical studies of social learning in natural populations are now urgently needed to substantiate theoretical claims. PMID:21357220

Social learning and the development of individual and group behaviour in mammal societies.

PubMed

Thornton, Alex; Clutton-Brock, Tim

2011-04-12

As in human societies, social learning may play an important role in shaping individual and group characteristics in other mammals. Here, we review research on non-primate mammals, concentrating on work at our long-term meerkat study site, where longitudinal data and field experiments have generated important insights into the role of social learning under natural conditions. Meerkats live under high predation pressure and occupy a difficult foraging niche. Accordingly, pups make extensive use of social information in learning to avoid predation and obtain food. Where individual learning is costly or opportunities are lacking, as in the acquisition of prey-handling skills, adults play an active role in promoting learning through teaching. Social learning can also cause information to spread through groups, but our data suggest that this does not necessarily result in homogeneous, group-wide traditions. Moreover, traditions are commonly eroded by individual learning. We suggest that traditions will only persist where there are high costs of deviating from the group norm or where skill development requires extensive time and effort. Persistent traditions could, theoretically, modify selection pressures and influence genetic evolution. Further empirical studies of social learning in natural populations are now urgently needed to substantiate theoretical claims.

Information-seeking behavior during residency is associated with quality of theoretical learning, academic career achievements, and evidence-based medical practice: a strobe-compliant article.

PubMed

Oussalah, Abderrahim; Fournier, Jean-Paul; Guéant, Jean-Louis; Braun, Marc

2015-02-01

Data regarding knowledge acquisition during residency training are sparse. Predictors of theoretical learning quality, academic career achievements and evidence-based medical practice during residency are unknown. We performed a cross-sectional study on residents and attending physicians across several residency programs in 2 French faculties of medicine. We comprehensively evaluated the information-seeking behavior (I-SB) during residency using a standardized questionnaire and looked for independent predictors of theoretical learning quality, academic career achievements, and evidence-based medical practice among I-SB components using multivariate logistic regression analysis. Between February 2013 and May 2013, 338 fellows and attending physicians were included in the study. Textbooks and international medical journals were reported to be used on a regular basis by 24% and 57% of the respondents, respectively. Among the respondents, 47% refer systematically (4.4%) or frequently (42.6%) to published guidelines from scientific societies upon their publication. The median self-reported theoretical learning quality score was 5/10 (interquartile range, 3-6; range, 1-10). A high theoretical learning quality score (upper quartile) was independently and strongly associated with the following I-SB components: systematic reading of clinical guidelines upon their publication (odds ratio [OR], 5.55; 95% confidence interval [CI], 1.77-17.44); having access to a library that offers the leading textbooks of the specialty in the medical department (OR, 2.45, 95% CI, 1.33-4.52); knowledge of the specialty leading textbooks (OR, 2.12; 95% CI, 1.09-4.10); and PubMed search skill score ≥5/10 (OR, 1.94; 95% CI, 1.01-3.73). Research Master (M2) and/or PhD thesis enrolment were independently and strongly associated with the following predictors: PubMed search skill score ≥5/10 (OR, 4.10; 95% CI, 1.46-11.53); knowledge of the leading medical journals of the specialty (OR, 3.33; 95% CI, 1.32-8.38); attending national and international academic conferences and meetings (OR, 2.43; 95% CI, 1.09-5.43); and using academic theoretical learning supports several times a week (OR, 2.23; 95% CI, 1.11- 4.49). This study showed weaknesses in the theoretical learning framework during residency. I-SB was independently associated with quality of academic theoretical learning, academic career achievements, and the use of evidence-based medicine in everyday clinical practice. CNIL No.1797639.

Stochastic Online Learning in Dynamic Networks under Unknown Models

DTIC Science & Technology

2016-08-02

Repeated Game with Incomplete Information, IEEE International Conference on Acoustics, Speech, and Signal Processing. 20-MAR-16, Shanghai, China...in a game theoretic framework for the application of multi-seller dynamic pricing with unknown demand models. We formulated the problem as an...infinitely repeated game with incomplete information and developed a dynamic pricing strategy referred to as Competitive and Cooperative Demand Learning

Implementing a Cooperative Learning Model in Universities

ERIC Educational Resources Information Center

Yi, Zeng; LuXi, Zhang

2012-01-01

In the past few years, many students have begun to lose interest in science and information and engineering technology courses because they find them too boring and hard to learn. To strengthen this field of education and stimulate students' motivation and interest in learning, this study introduces a theoretical pedagogical framework based on…

Categorical Structure among Shared Features in Networks of Early-Learned Nouns

ERIC Educational Resources Information Center

Hills, Thomas T.; Maouene, Mounir; Maouene, Josita; Sheya, Adam; Smith, Linda

2009-01-01

The shared features that characterize the noun categories that young children learn first are a formative basis of the human category system. To investigate the potential categorical information contained in the features of early-learned nouns, we examine the graph-theoretic properties of noun-feature networks. The networks are built from the…

An Analysis of Machine- and Human-Analytics in Classification.

PubMed

Tam, Gary K L; Kothari, Vivek; Chen, Min

2017-01-01

In this work, we present a study that traces the technical and cognitive processes in two visual analytics applications to a common theoretic model of soft knowledge that may be added into a visual analytics process for constructing a decision-tree model. Both case studies involved the development of classification models based on the "bag of features" approach. Both compared a visual analytics approach using parallel coordinates with a machine-learning approach using information theory. Both found that the visual analytics approach had some advantages over the machine learning approach, especially when sparse datasets were used as the ground truth. We examine various possible factors that may have contributed to such advantages, and collect empirical evidence for supporting the observation and reasoning of these factors. We propose an information-theoretic model as a common theoretic basis to explain the phenomena exhibited in these two case studies. Together we provide interconnected empirical and theoretical evidence to support the usefulness of visual analytics.

The evolutionary basis of human social learning

PubMed Central

Morgan, T. J. H.; Rendell, L. E.; Ehn, M.; Hoppitt, W.; Laland, K. N.

2012-01-01

Humans are characterized by an extreme dependence on culturally transmitted information. Such dependence requires the complex integration of social and asocial information to generate effective learning and decision making. Recent formal theory predicts that natural selection should favour adaptive learning strategies, but relevant empirical work is scarce and rarely examines multiple strategies or tasks. We tested nine hypotheses derived from theoretical models, running a series of experiments investigating factors affecting when and how humans use social information, and whether such behaviour is adaptive, across several computer-based tasks. The number of demonstrators, consensus among demonstrators, confidence of subjects, task difficulty, number of sessions, cost of asocial learning, subject performance and demonstrator performance all influenced subjects' use of social information, and did so adaptively. Our analysis provides strong support for the hypothesis that human social learning is regulated by adaptive learning rules. PMID:21795267

The evolutionary basis of human social learning.

PubMed

Morgan, T J H; Rendell, L E; Ehn, M; Hoppitt, W; Laland, K N

2012-02-22

Humans are characterized by an extreme dependence on culturally transmitted information. Such dependence requires the complex integration of social and asocial information to generate effective learning and decision making. Recent formal theory predicts that natural selection should favour adaptive learning strategies, but relevant empirical work is scarce and rarely examines multiple strategies or tasks. We tested nine hypotheses derived from theoretical models, running a series of experiments investigating factors affecting when and how humans use social information, and whether such behaviour is adaptive, across several computer-based tasks. The number of demonstrators, consensus among demonstrators, confidence of subjects, task difficulty, number of sessions, cost of asocial learning, subject performance and demonstrator performance all influenced subjects' use of social information, and did so adaptively. Our analysis provides strong support for the hypothesis that human social learning is regulated by adaptive learning rules.

Teaching for clinical reasoning - helping students make the conceptual links.

PubMed

McMillan, Wendy Jayne

2010-01-01

Dental educators complain that students struggle to apply what they have learnt theoretically in the clinical context. This paper is premised on the assumption that there is a relationship between conceptual thinking and clinical reasoning. The paper provides a theoretical framework for understanding the relationship between conceptual learning and clinical reasoning. A review of current literature is used to explain the way in which conceptual understanding influences clinical reasoning and the transfer of theoretical understandings to the clinical context. The paper argues that the connections made between concepts are what is significant about conceptual understanding. From this point of departure the paper describes teaching strategies that facilitate the kinds of learning opportunities that students need in order to develop conceptual understanding and to be able to transfer knowledge from theoretical to clinical contexts. Along with a variety of teaching strategies, the value of concept maps is discussed. The paper provides a framework for understanding the difficulties that students have in developing conceptual networks appropriate for later clinical reasoning. In explaining how students learn for clinical application, the paper provides a theoretical framework that can inform how dental educators facilitate the conceptual learning, and later clinical reasoning, of their students.

A Preliminary Analysis of the Theoretical Parameters of Organizaational Learning.

DTIC Science & Technology

1995-09-01

PARAMETERS OF ORGANIZATIONAL LEARNING THESIS Presented to the Faculty of the Graduate School of Logistics and Acquisition Management of the Air...Organizational Learning Parameters in the Knowledge Acquisition Category 2~™ 2-3. Organizational Learning Parameters in the Information Distribution Category...Learning Refined Scale 4-94 4-145. Composition of Refined Scale 4 Knowledge Flow 4-95 4-146. Cronbach’s Alpha Statistics for the Complete Knowledge Flow

When practice precedes theory - A mixed methods evaluation of students' learning experiences in an undergraduate study program in nursing.

PubMed

Falk, Kristin; Falk, Hanna; Jakobsson Ung, Eva

2016-01-01

A key area for consideration is determining how optimal conditions for learning can be created. Higher education in nursing aims to prepare students to develop their capabilities to become independent professionals. The aim of this study was to evaluate the effects of sequencing clinical practice prior to theoretical studies on student's experiences of self-directed learning readiness and students' approach to learning in the second year of a three-year undergraduate study program in nursing. 123 nursing students was included in the study and divided in two groups. In group A (n = 60) clinical practice preceded theoretical studies. In group (n = 63) theoretical studies preceded clinical practice. Learning readiness was measured using the Directed Learning Readiness Scale for Nursing Education (SDLRSNE), and learning process was measured using the revised two-factor version of the Study Process Questionnaire (R-SPQ-2F). Students were also asked to write down their personal reflections throughout the course. By using a mixed method design, the qualitative component focused on the students' personal experiences in relation to the sequencing of theoretical studies and clinical practice. The quantitative component provided information about learning readiness before and after the intervention. Our findings confirm that students are sensitive and adaptable to their learning contexts, and that the sequencing of courses is subordinate to a pedagogical style enhancing students' deep learning approaches, which needs to be incorporated in the development of undergraduate nursing programs. Copyright © 2015 Elsevier Ltd. All rights reserved.

Students' perspectives on basic nursing care education.

PubMed

Huisman-de Waal, Getty; Feo, Rebecca; Vermeulen, Hester; Heinen, Maud

2018-02-05

The aim of the study is to explore the perspectives of nursing students on their education concerning basic nursing care, learned either during theoretical education or clinical placement, with a specific focus on nutrition and communication. Basic care activities lie at the core of nursing, but are ill-informed by evidence and often poorly delivered. Nursing students' education on basic care might be lacking, and the question remains how they learn to deliver basic care in clinical practice. Descriptive study, using an online questionnaire. Nursing students at the vocational and bachelor level of six nursing schools in the Netherlands were invited to complete an online questionnaire regarding their perception of basic nursing care education in general (both theoretical education and clinical placement), and specifically in relation to nutrition and communication. Nursing students (n=226 bachelor students, n=30 vocational students) completed the questionnaire. Most students reported that they learned more about basic nursing care during clinical placement than during theoretical education. Vocational students also reported learning more about basic nursing care in both theoretical education and clinical practice than bachelor students. In terms of nutrition, low numbers of students from both education levels reported learning about nutrition protocols and guidelines during theoretical education. In terms of communication, vocational students indicated that they learned more about different aspects of communication during clinical practice than theoretical education, and were also more likely to learn about communication (in both theoretical education and clinical practice) than were bachelor students. Basic nursing care seems to be largely invisible in nursing education, especially at the bachelor level and during theoretical education. Improved basic nursing care will enhance nurse sensitive outcomes and patient satisfaction and will contribute to lower healthcare costs. This study shows that there is scope within current nurse education in the Netherlands to focus more systematically and explicitly on basic nursing care. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

A Constraints-Led Perspective to Understanding Skill Acquisition and Game Play: A Basis for Integration of Motor Learning Theory and Physical Education Praxis?

ERIC Educational Resources Information Center

Renshaw, Ian; Chow, Jia Yi; Davids, Keith; Hammond, John

2010-01-01

Background: In order to design appropriate environments for performance and learning of movement skills, physical educators need a sound theoretical model of the learner and of processes of learning. In physical education, this type of modelling informs the organisation of learning environments and effective and efficient use of practice time. An…

The Impact of CMS Quality on the Outcomes of E-Learning Systems in Higher Education: An Empirical Study

ERIC Educational Resources Information Center

Kim, Kihyun; Trimi, Silvana; Park, Hyesung; Rhee, Shanggeun

2012-01-01

Course Management Systems (CMSs) in higher education have emerged as one of the most widely adopted e-learning platforms. This study examines the success of e-learning CMSs based on user satisfaction and benefits. Using DeLone and McLean's information system success model as a theoretical framework, we analyze the success of e-learning CMSs in…

The Socio-Materiality of Learning Practices and Implications for the Field of Learning Technology

ERIC Educational Resources Information Center

Johri, Aditya

2011-01-01

Although the use of digital information technologies in education has become commonplace, there are few, if any, central guiding frameworks or theories that explicate the relationship between technology and learning practices. In this paper, I argue that such a theoretical framework can assist scholars and practitioners alike by working as a…

Transformative Learning around Issues of Language and Culture among ESL Teachers

ERIC Educational Resources Information Center

Schmick, Dara Pachence

2014-01-01

The purpose of this qualitative study was to explore the significant teaching and learning experiences of ESL teachers around the issues of culture and language. The theoretical framework of the study was informed by transformative learning theory. The study began with semi-structured in-depth interviews with twelve teachers who obtained their ESL…

Network Learning for Educational Change. Professional Learning

ERIC Educational Resources Information Center

Veugelers, Wiel, Ed.; O'Hair, Mary John, Ed.

2005-01-01

School-university networks are becoming an important method to enhance educational renewal and student achievement. Networks go beyond tensions of top-down versus bottom-up, school development and professional development of individuals, theory and practice, and formal and informal organizational structures. The theoretical base of networking…

Using software simulators to enhance the learning of digital logic design for the information technology students

NASA Astrophysics Data System (ADS)

Alsadoon, Abeer; Prasad, P. W. C.; Beg, Azam

2017-09-01

Making the students understand the theoretical concepts of digital logic design concepts is one of the major issues faced by the academics, therefore the teachers have tried different techniques to link the theoretical information to the practical knowledge. Use of software simulations is a technique for learning and practice that can be applied to many different disciplines. Experimentation of different computer hardware components/integrated circuits with the use of the simulators enhances the student learning. The simulators can be rather simplistic or quite complex. This paper reports our evaluation of different simulators available for use in the higher education institutions. We also provide the experience of incorporating some selected tools in teaching introductory courses in computer systems. We justified the effectiveness of incorporating the simulators into the computer system courses by use of student survey and final grade results.

Theorizing and Researching Levels of Processing in Self-Regulated Learning

ERIC Educational Resources Information Center

Winne, Philip H.

2018-01-01

Background: Deep versus surface knowledge is widely discussed by educational practitioners. A corresponding construct, levels of processing, has received extensive theoretical and empirical attention in learning science and psychology. In both arenas, lower levels of information and shallower levels of processing are predicted and generally…

Educational Psychology: Learning, Instruction, Assessment.

ERIC Educational Resources Information Center

McCormick, Christine B.; Pressley, Michael

This textbook for undergraduates reflects advances in the understanding of effective teaching and learning and is organized around the theme of promoting good information processing. The first part of the book describes the foundations of good thinking, and the second part introduces different theoretical perspectives on the construction of…

Five Faces of Cognition: Theoretical Influences on Approaches to Learning Disabilities.

ERIC Educational Resources Information Center

Hresko, Wayne P.; Reid, D. Kim

1988-01-01

The article points out that the label "cognitive" has been used to designate five substantially different approaches to learning disabilities: information processing, metacognition, genetic epistemology, cognitive behavior modification, and the specific-abilities model. Despite the similar label, the instructional interventions of these approaches…

Motivation and Satisfaction in Internet-Supported Learning Environments: A Review

ERIC Educational Resources Information Center

Bekele, Teklu Abate

2010-01-01

Previous studies examined student motivation and satisfaction in Internet-Supported Learning Environments (ISLE) in higher education but none provided a comprehensive analysis of significant methodological and theoretical issues. To contribute toward filling this knowledge gap and then to better inform instructional systems development, practice,…

The Leader's Role in Strategic Knowledge Creation and Mobilization

ERIC Educational Resources Information Center

Reid, Steven

2013-01-01

The purpose of this paper is to explore how leaders influence knowledge creation and mobilization processes. As a basis for the theoretical framework, the researcher selected theories that informed the investigation of this influence: leadership theory, knowledge theory, learning theory, organizational learning theory, and organizational knowledge…

Conceptualization of an R&D Based Learning-to-Innovate Model for Science Education

ERIC Educational Resources Information Center

Lai, Oiki Sylvia

2013-01-01

The purpose of this research was to conceptualize an R & D based learning-to-innovate (LTI) model. The problem to be addressed was the lack of a theoretical L TI model, which would inform science pedagogy. The absorptive capacity (ACAP) lens was adopted to untangle the R & D LTI phenomenon into four learning processes: problem-solving via…

Theoretical Perspectives on Learning in an Informal Setting.

ERIC Educational Resources Information Center

Anderson, David; Lucas, Keith B.; Ginns, Ian S.

2003-01-01

Reports the findings of an interpretive case study of the knowledge transformations of three Year 7 students who had participated in a class visit to a science museum and associated post-visit activities. Discusses theoretical and practical implications of these findings for teachers and staff of museums and similar institutions. (Author/KHR)

Autonomous learning based on cost assumptions: theoretical studies and experiments in robot control.

PubMed

Ribeiro, C H; Hemerly, E M

2000-02-01

Autonomous learning techniques are based on experience acquisition. In most realistic applications, experience is time-consuming: it implies sensor reading, actuator control and algorithmic update, constrained by the learning system dynamics. The information crudeness upon which classical learning algorithms operate make such problems too difficult and unrealistic. Nonetheless, additional information for facilitating the learning process ideally should be embedded in such a way that the structural, well-studied characteristics of these fundamental algorithms are maintained. We investigate in this article a more general formulation of the Q-learning method that allows for a spreading of information derived from single updates towards a neighbourhood of the instantly visited state and converges to optimality. We show how this new formulation can be used as a mechanism to safely embed prior knowledge about the structure of the state space, and demonstrate it in a modified implementation of a reinforcement learning algorithm in a real robot navigation task.

[Learning strategies of autonomous medical students].

PubMed

Márquez U, Carolina; Fasce H, Eduardo; Ortega B, Javiera; Bustamante D, Carolina; Pérez V, Cristhian; Ibáñez G, Pilar; Ortiz M, Liliana; Espinoza P, Camila; Bastías V, Nancy

2015-12-01

Understanding how autonomous students are capable of regulating their own learning process is essential to develop self-directed teaching methods. To understand how self-directed medical students approach learning in medical schools at University of Concepción, Chile. A qualitative and descriptive study, performed according to Grounded Theory guidelines, following Strauss & Corbin was performed. Twenty medical students were selected by the maximum variation sampling method. The data collection technique was carried out by a semi-structured thematic interview. Students were interviewed by researchers after an informed consent procedure. Data were analyzed by the open coding method using Atlas-ti 7.5.2 software. Self-directed learners were characterized by being good planners and managing their time correctly. Students performed a diligent selection of contents to study based on reliable literature sources, theoretical relevance and type of evaluation. They also emphasized the discussion of clinical cases, where theoretical contents can be applied. This modality allows them to gain a global view of theoretical contents, to verbalize knowledge and to obtain a learning feedback. The learning process of autonomous students is intentional and planned.

A Model for Teaching Information Design

ERIC Educational Resources Information Center

Pettersson, Rune

2011-01-01

The author presents his views on the teaching of information design. The starting point includes some general aspects of teaching and learning. The multidisciplinary structure and content of information design as well as the combined practical and theoretical components influence studies of the discipline. Experiences from working with a model for…

(Re)Turning to Practice in Teacher Education: Embodied Knowledge in Learning to Teach

ERIC Educational Resources Information Center

Mathewson Mitchell, Donna; Reid, Jo-Anne

2017-01-01

Contemporary research conversations about the utility of practice theories to professional education support the reconceptualisation of pre-service teacher education in ways that provide strong preparation for continued professional learning. This paper reports on an empirical inquiry that introduced a theoretically informed practice-based…

Exploring Distributed Leadership for the Quality Management of Online Learning Environments

ERIC Educational Resources Information Center

Palmer, Stuart; Holt, Dale; Gosper, Maree; Sankey, Michael; Allan, Garry

2013-01-01

Online learning environments (OLEs) are complex information technology (IT) systems that intersect with many areas of university organisation. Distributed models of leadership have been proposed as appropriate for the good governance of OLEs. Based on theoretical and empirical research, a group of Australian universities proposed a framework for…

The Effects of Computer Visual Appeal on Learners' Motivation.

ERIC Educational Resources Information Center

Sultan, Adel; Jones, Marshall

Over the years, situated and observational learning has given way to mass teaching and theoretical learning based on prose information. Even though schools have produced many successful professionals, they often fail to address individual differences in learners and encourage competition rather than cooperation between learners. As a result, many…

Learning Physical Domains: Toward a Theoretical Framework.

DTIC Science & Technology

1986-12-01

advanced ids o the iaime doinain in containing more information, especially perceptual " ’It. iho lI b1 rwt... tI hat. psychboigists by no means...Acquisitions Dr Kenneth D Forbus 4833 Rugby Avenue University of Illinois Dr Robert Glaser Bethesda, MD 20014 Department of Computer Science Learning

Teaching and Learning Research Literacies in Graduate Adult Education: Appreciative Inquiry into Practitioners' Ways of Writing.

ERIC Educational Resources Information Center

Lander, Dorothy A.

2002-01-01

Presents a theoretical framework for teaching and learning research literacies. Describes a classroom demonstration involving graduate student cohorts in appreciative inquiry into practitioners' ways of writing. Addresses the issues of human subjects, informed consent, and the ethics of representation. (Contains 49 references.) (SK)

"The Theory behind How Students Learn": Applying Developmental Theory to Research on Children's Historical Thinking

ERIC Educational Resources Information Center

Dulberg, Nancy

2005-01-01

Recent research on children's historical thinking has produced rich descriptions of instruction. However, the research literature is largely lacking a theoretical model of learning. This article asserts that developmental constructivist theory informs research design and interpretation, provides explanatory power, and promises more useful…

A Study of Students on the Autism Spectrum Transformation in a High School Transition Program

ERIC Educational Resources Information Center

Moore-Gumora, Courteny

2014-01-01

This study brings together the theoretical and empirical practices of traditional informative education, radical transformative education, and sustainable education reform. An analysis of learning disability and constructivist learning are used to elucidate the socio-complexity of historic academic constructs concerning educational leadership for…

An emerging research framework for studying informal learning and schools

NASA Astrophysics Data System (ADS)

Martin, Laura M. W.

2004-07-01

In recognition of the fact that science centers and other informal educational institutions can play a role in the reform of science, technology, engineering, and mathematics (STEM) education, several major research and professional programs are currently underway. This article discusses one such effort, the Center for Informal Learning and Schools (CILS), a collaboration of the Exploratorium, the University of California, Santa Cruz, and King's College, London and the need for a theoretical framework based on socio-cultural theory to link discussion of varied efforts characterizing science learning in informal settings. The article discusses two key problematics related to developments in the science education field of the past decade: (1) integrating studies that are undertaken from multiple disciplinary perspectives, namely, science education, developmental psychology, and cultural studies, and (2) characterizing critical properties of informal learning in museums. It reviews work that has been conducted in nonschool settings and, using examples from research conducted by the Center for Informal Learning and Schools, it reviews questions currently under investigation.

Creating opportunities to learn in mathematics education: a sociocultural perspective

NASA Astrophysics Data System (ADS)

Goos, Merrilyn

2014-09-01

The notion of `opportunities to learn in mathematics education' is open to interpretation from multiple theoretical perspectives, where the focus may be on cognitive, social or affective dimensions of learning, curriculum and assessment design, issues of equity and access, or the broad policy and political contexts of learning and teaching. In this paper, I conceptualise opportunities to learn from a sociocultural perspective. Beginning with my own research on the learning of students and teachers of mathematics, I sketch out two theoretical frameworks for understanding this learning. One framework extends Valsiner's zone theory of child development, and the other draws on Wenger's ideas about communities of practice. My aim is then to suggest how these two frameworks might help us understand the learning of others who have an interest in mathematics education, such as mathematics teacher educator-researchers and mathematicians. In doing so, I attempt to move towards a synthesis of ideas to inform mathematics education research and development.

Curiosity and reward: Valence predicts choice and information prediction errors enhance learning.

PubMed

Marvin, Caroline B; Shohamy, Daphna

2016-03-01

Curiosity drives many of our daily pursuits and interactions; yet, we know surprisingly little about how it works. Here, we harness an idea implied in many conceptualizations of curiosity: that information has value in and of itself. Reframing curiosity as the motivation to obtain reward-where the reward is information-allows one to leverage major advances in theoretical and computational mechanisms of reward-motivated learning. We provide new evidence supporting 2 predictions that emerge from this framework. First, we find an asymmetric effect of positive versus negative information, with positive information enhancing both curiosity and long-term memory for information. Second, we find that it is not the absolute value of information that drives learning but, rather, the gap between the reward expected and reward received, an "information prediction error." These results support the idea that information functions as a reward, much like money or food, guiding choices and driving learning in systematic ways. (c) 2016 APA, all rights reserved).

Exploring English Language Learners (ELL) experiences with scientific language and inquiry within a real life context

NASA Astrophysics Data System (ADS)

Algee, Lisa M.

English Language Learners (ELL) are often at a distinct disadvantage from receiving authentic science learning opportunites. This study explored English Language Learners (ELL) learning experiences with scientific language and inquiry within a real life context. This research was theoretically informed by sociocultural theory and literature on student learning and science teaching for ELL. A qualitative, case study was used to explore students' learning experiences. Data from multiple sources was collected: student interviews, science letters, an assessment in another context, field-notes, student presentations, inquiry assessment, instructional group conversations, parent interviews, parent letters, parent homework, teacher-researcher evaluation, teacher-researcher reflective journal, and student ratings of learning activities. These data sources informed the following research questions: (1) Does participation in an out-of-school contextualized inquiry science project increase ELL use of scientific language? (2) Does participation in an out-of-school contextualized inquiry science project increase ELL understanding of scientific inquiry and their motivation to learn? (3) What are parents' funds of knowledge about the local ecology and does this inform students' experiences in the science project? All data sources concerning students were analyzed for similar patterns and trends and triangulation was sought through the use of these data sources. The remaining data sources concerning the teacher-researcher were used to inform and assess whether the pedagogical and research practices were in alignment with the proposed theoretical framework. Data sources concerning parental participation accessed funds of knowledge, which informed the curriculum in order to create continuity and connections between home and school. To ensure accuracy in the researchers' interpretations of student and parent responses during interviews, member checking was employed. The findings suggest that participation in an out-of-school contextualized inquiry science project increased ELL use of scientific language and understanding of scientific inquiry and motivation to learn. In addition, parent' funds of knowledge informed students' experiences in the science project. These findings suggest that the learning and teaching practices and the real life experiential learning contexts served as an effective means for increasing students' understandings and motivation to learn.

Recognition and Validation of Non Formal and Informal Learning: Lifelong Learning and University in the Italian Context

ERIC Educational Resources Information Center

Di Rienzo, Paolo

2014-01-01

This paper is a reflection, on the basis of empirical research conducted in Italy, on theoretical, methodological and systemic-organisational aspects linked to the recognition and validation of the prior learning acquired by adult learners or workers who decide to enrol at university at a later stage in their lives. The interest in this research…

Key Data on Learning and Innovation through ICT at School in Europe 2011

ERIC Educational Resources Information Center

Ranguelov, Stanislav; Horvath, Anna; Dalferth, Simon; Noorani, Sogol

2011-01-01

This report on Key Data on Learning and Innovation through ICT at School in Europe 2011 builds on the previous Eurydice publications on information and communication technology in schools in Europe. It also aims to extend the theoretical framework by looking not only at the teaching and learning of ICT but also at the use of ICT to promote…

Commentary on "Theory-Led Design of Instruments and Representations in Learning Analytics: Developing a Novel Tool for Orchestration of Online Collaborative Learning"

ERIC Educational Resources Information Center

Teplovs, Chris

2015-01-01

This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…

Information Security Assessment of SMEs as Coursework -- Learning Information Security Management by Doing

ERIC Educational Resources Information Center

Ilvonen, Ilona

2013-01-01

Information security management is an area with a lot of theoretical models. The models are designed to guide practitioners in prioritizing management resources in companies. Information security management education should address the gap between the academic ideals and practice. This paper introduces a teaching method that has been in use as…

Theoretical Foundation and Practical Application of a Schematic Approach to College Learning.

ERIC Educational Resources Information Center

Charry, Myrna; Morton, Elaine

To help students organize and integrate new information with past knowledge, college reading teachers can offer students cognitive schemata that sort information into general and specific concepts. Without this ability, students will be unable to comprehend, analyze, synthesize, interpret, or transfer information. In addition, they will be unable…

Temporal maps and informativeness in associative learning.

PubMed

Balsam, Peter D; Gallistel, C Randy

2009-02-01

Neurobiological research on learning assumes that temporal contiguity is essential for association formation, but what constitutes temporal contiguity has never been specified. We review evidence that learning depends, instead, on learning a temporal map. Temporal relations between events are encoded even from single experiences. The speed with which an anticipatory response emerges is proportional to the informativeness of the encoded relation between a predictive stimulus or event and the event it predicts. This principle yields a quantitative account of the heretofore undefined, but theoretically crucial, concept of temporal pairing, an account in quantitative accord with surprising experimental findings. The same principle explains the basic results in the cue competition literature, which motivated the Rescorla-Wagner model and most other contemporary models of associative learning. The essential feature of a memory mechanism in this account is its ability to encode quantitative information.

Temporal maps and informativeness in associative learning

PubMed Central

Balsam, Peter D; Gallistel, C. Randy

2009-01-01

Neurobiological research on learning assumes that temporal contiguity is essential for association formation, but what constitutes temporal contiguity has never been specified. We review evidence that learning depends, instead, on learning a temporal map. Temporal relations between events are encoded even from single experiences. The speed with which an anticipatory response emerges is proportional to the informativeness of the encoded relation between a predictive stimulus or event and the event it predicts. This principle yields a quantitative account of the heretofore undefined, but theoretically crucial, concept of temporal pairing, an account in quantitative accord with surprising experimental findings. The same principle explains the basic results in the cue competition literature, which motivated the Rescorla–Wagner model and most other contemporary models of associative learning. The essential feature of a memory mechanism in this account is its ability to encode quantitative information. PMID:19136158

Exploring English Language Learners (ELL) Experiences with Scientific Language and Inquiry within a Real Life Context

ERIC Educational Resources Information Center

Algee, Lisa M.

2012-01-01

English Language Learners (ELL) are often at a distinct disadvantage from receiving authentic science learning opportunites. This study explored English Language Learners (ELL) learning experiences with scientific language and inquiry within a real life context. This research was theoretically informed by sociocultural theory and literature on…

Information Resources Usage in Project Management Digital Learning System

ERIC Educational Resources Information Center

Davidovitch, Nitza; Belichenko, Margarita; Kravchenko, Yurii

2017-01-01

The article combines a theoretical approach to structuring knowledge that is based on the integrated use of fuzzy semantic network theory predicates, Boolean functions, theory of complexity of network structures and some practical aspects to be considered in the distance learning at the university. The paper proposes a methodological approach that…

Learning, Teaching and Assessment: A Theoretical Overview. SCRE Project Report No. 20.

ERIC Educational Resources Information Center

Black, Harry; And Others

This overview of the literature on teaching, learning, and assessment was prepared to help develop a shared understanding by educators, researchers, and students to inform subsequent research conducted by the Scottish Council for Research in Education (SCRE) into the National Certificate in Scotland. Section 1 serves as an introduction to the…

Blended Identities: Identity Work, Equity and Marginalization in Blended Learning

ERIC Educational Resources Information Center

Heikoop, Will

2013-01-01

This article is a theoretical study of the self-presentation strategies employed by higher education students online; it examines student identity work via profile information and avatars in a blended learning environment delivered through social networking sites and virtual worlds. It argues that students are faced with difficult choices when…

Theoretical Review of Phonics Instruction for Struggling/Beginning Readers of English

ERIC Educational Resources Information Center

Sitthitikul, Pragasit

2014-01-01

Learning to read is a complex task for beginners of English. They must coordinate many cognitive processes to read accurately and fluently, including recognizing words, constructing the meanings of sentences and text, and retaining the information read in memory. An essential part of the process for beginners involves learning the alphabetic…

The Construction of Subjectivity in Educational Television. Part 1: Towards a New Agenda.

ERIC Educational Resources Information Center

Buckingham, David

1987-01-01

Considers how definitions of teaching and learning have informed educational broadcasters' rationales for their work and how these are manifested in the textual strategies of specific programs. A theoretical framework for accounting for the ways educational television seeks to implicate its viewers in the learning process is then developed. (RP)

Giving Learning a Helping Hand: Finger Tracing of Temperature Graphs on an iPad

ERIC Educational Resources Information Center

Agostinho, Shirley; Tindall-Ford, Sharon; Ginns, Paul; Howard, Steven J.; Leahy, Wayne; Paas, Fred

2015-01-01

Gesturally controlled information and communication technologies, such as tablet devices, are becoming increasingly popular tools for teaching and learning. Based on the theoretical frameworks of cognitive load and embodied cognition, this study investigated the impact of explicit instructions to trace out elements of tablet-based worked examples…

New Developments in ESP Teaching and Learning Research

ERIC Educational Resources Information Center

Sarré, Cédric, Ed.; Whyte, Shona, Ed.

2017-01-01

This volume intends to address key issues related to research in English for Specific Purposes (ESP) teaching and learning by bringing together current research at the intersection of the theoretical and practical dimensions of ESP. Readers will discover a treasury of information they will find useful to their own understanding of research into…

Information-theoretic approach to interactive learning

NASA Astrophysics Data System (ADS)

Still, S.

2009-01-01

The principles of statistical mechanics and information theory play an important role in learning and have inspired both theory and the design of numerous machine learning algorithms. The new aspect in this paper is a focus on integrating feedback from the learner. A quantitative approach to interactive learning and adaptive behavior is proposed, integrating model- and decision-making into one theoretical framework. This paper follows simple principles by requiring that the observer's world model and action policy should result in maximal predictive power at minimal complexity. Classes of optimal action policies and of optimal models are derived from an objective function that reflects this trade-off between prediction and complexity. The resulting optimal models then summarize, at different levels of abstraction, the process's causal organization in the presence of the learner's actions. A fundamental consequence of the proposed principle is that the learner's optimal action policies balance exploration and control as an emerging property. Interestingly, the explorative component is present in the absence of policy randomness, i.e. in the optimal deterministic behavior. This is a direct result of requiring maximal predictive power in the presence of feedback.

Rethinking Extinction

PubMed Central

Dunsmoor, Joseph E.; Niv, Yael; Daw, Nathaniel; Phelps, Elizabeth A.

2015-01-01

Extinction serves as the leading theoretical framework and experimental model to describe how learned behaviors diminish through absence of anticipated reinforcement. In the past decade, extinction has moved beyond the realm of associative learning theory and behavioral experimentation in animals and has become a topic of considerable interest in the neuroscience of learning, memory, and emotion. Here, we review research and theories of extinction, both as a learning process and as a behavioral technique, and consider whether traditional understandings warrant a re-examination. We discuss the neurobiology, cognitive factors, and major computational theories, and revisit the predominant view that extinction results in new learning that interferes with expression of the original memory. Additionally, we reconsider the limitations of extinction as a technique to prevent the relapse of maladaptive behavior, and discuss novel approaches, informed by contemporary theoretical advances, that augment traditional extinction methods to target and potentially alter maladaptive memories. PMID:26447572

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

PubMed Central

Aoki, Kenichi; Feldman, Marcus W.

2013-01-01

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

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

PubMed

Aoki, Kenichi; Feldman, Marcus W

2014-02-01

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

Assessing Professional Competence by Using Occupational Judgment Tests Derived From Job Analysis Questionnaires

DTIC Science & Technology

2009-01-01

theoretical framework developed by Edward L. Thorndike and his contemporaries (1935), proposed that (a) learning occurs in both formal and informal settings...implies, and general learning theory ( Thorndike , 1935) suggests, that more motivated employees should acquire more knowledge, so there should be a...that is predicted by tacit knowledge and general learning theory (Sternberg & Wagner, 1993; Thorndike , 1935). Table 3 reports modest true-score

Inter-firm Networks, Organizational Learning and Knowledge Updating: An Empirical Study

NASA Astrophysics Data System (ADS)

Zhang, Su-rong; Wang, Wen-ping

In the era of knowledge-based economy which information technology develops rapidly, the rate of knowledge updating has become a critical factor for enterprises to gaining competitive advantage .We build an interactional theoretical model among inter-firm networks, organizational learning and knowledge updating thereby and demonstrate it with empirical study at last. The result shows that inter-firm networks and organizational learning is the source of knowledge updating.

Summary of Progress on SIG Ft. Ord ESTCP DemVal

DTIC Science & Technology

2007-04-01

We report on progress under an ESTCP demonstration plan dedicated to demonstrating active learning - based UXO detection on an actual former UXO site...Ft. Ord), using EMI data. In addition to describing the details of the active - learning algorithm, we discuss techniques that were required when...terms of two dipole-moment magnitudes and two resonant frequencies. Information-theoretic active learning is then conducted on all anomalies to

Informing Educational Psychology Training with Students' Community Engagement Experiences

ERIC Educational Resources Information Center

Ebersohn, Liesel; Bender, C. J. Gerda; Carvalho-Malekane, Wendy M.

2010-01-01

The purpose of this article was to describe students' experiences of community engagement in an Educational Psychology practicum in order to inform relevant educational psychology training literature with experiences of students' community engagement. Experiential learning served as our theoretical framework and we employed an instrumental case…

Sociomateriality: a theoretical framework for studying distributed medical education.

PubMed

MacLeod, Anna; Kits, Olga; Whelan, Emma; Fournier, Cathy; Wilson, Keith; Power, Gregory; Mann, Karen; Tummons, Jonathan; Brown, Peggy Alexiadis

2015-11-01

Distributed medical education (DME) is a type of distance learning in which students participate in medical education from diverse geographic locations using Web conferencing, videoconferencing, e-learning, and similar tools. DME is becoming increasingly widespread in North America and around the world.Although relatively new to medical education, distance learning has a long history in the broader field of education and a related body of literature that speaks to the importance of engaging in rigorous and theoretically informed studies of distance learning. The existing DME literature is helpful, but it has been largely descriptive and lacks a critical "lens"-that is, a theoretical perspective from which to rigorously conceptualize and interrogate DME's social (relationships, people) and material (technologies, tools) aspects.The authors describe DME and theories about distance learning and show that such theories focus on social, pedagogical, and cognitive considerations without adequately taking into account material factors. They address this gap by proposing sociomateriality as a theoretical framework allowing researchers and educators to study DME and (1) understand and consider previously obscured actors, infrastructure, and other factors that, on the surface, seem unrelated and even unimportant; (2) see clearly how the social and material components of learning are intertwined in fluid, messy, and often uncertain ways; and (3) perhaps think differently, even in ways that disrupt traditional approaches, as they explore DME. The authors conclude that DME brings with it substantial investments of social and material resources, and therefore needs careful study, using approaches that embrace its complexity.

An empirical typology of hospital nurses' individual learning paths.

PubMed

Poell, Rob F; Van der Krogt, Ferd J

2014-03-01

A relatively new theoretical concept is proposed in this paper, namely, the individual learning path. Learning paths are created by individual employees and comprise a set of learning-relevant activities that are both coherent as a whole and meaningful to them. To explore the empirical basis of this theoretical concept. A qualitative study involving semi-structured interviews. Two academic medical centers (university hospitals) and two general hospitals in the Netherlands. A total of 89 nurses were involved in the study. Semi-structured interviews were analyzed qualitatively; cluster analysis was then performed on quantified data from the interviews. Four types of learning path emerged, namely, the formal-external, self-directed, social-emotional, and information-oriented learning paths. The relatively new theoretical concept of an individual learning path can be observed in practice and a number of different learning-path types can be distinguished. Nurses were found to create their own learning paths, that is, select a theme that is relevant primarily to themselves, conduct a variety of learning activities around this theme, participate in social contexts that might help them, and mobilize learning facilities provided by their organization. These activities go way beyond the notion of employees as self-directed learners merely in a didactic sense (establishing learning goals, choosing the right learning activities for these goals, evaluating to what extent their goals have been met as a result). The findings can be interpreted as evidence of employees acting strategically when it comes to their professional development. Providers of continuing professional education/development need to take this into account. Copyright © 2013 Elsevier Ltd. All rights reserved.

Unifying cost and information in information-theoretic competitive learning.

PubMed

Kamimura, Ryotaro

2005-01-01

In this paper, we introduce costs into the framework of information maximization and try to maximize the ratio of information to its associated cost. We have shown that competitive learning is realized by maximizing mutual information between input patterns and competitive units. One shortcoming of the method is that maximizing information does not necessarily produce representations faithful to input patterns. Information maximizing primarily focuses on some parts of input patterns that are used to distinguish between patterns. Therefore, we introduce the cost, which represents average distance between input patterns and connection weights. By minimizing the cost, final connection weights reflect input patterns well. We applied the method to a political data analysis, a voting attitude problem and a Wisconsin cancer problem. Experimental results confirmed that, when the cost was introduced, representations faithful to input patterns were obtained. In addition, improved generalization performance was obtained within a relatively short learning time.

The Effect of Informational Characteristics and Faculty Knowledge and Beliefs on the Use of Assessment

ERIC Educational Resources Information Center

Jonson, Jessica L.; Thompson, Robert J., Jr.; Guetterman, Timothy C.; Mitchell, Nancy

2017-01-01

Increasing the use of learning outcome assessments to inform educational decisions is a major challenge in higher education. For this study we used a sense-making theoretical perspective to guide an analysis of the relationship of information characteristics and faculty assessment knowledge and beliefs with the use of general education assessment…

Moving Digital Libraries into the Student Learning Space: The GetSmart Experience

ERIC Educational Resources Information Center

Marshall, Byron B.; Chen, Hsinchun; Shen, Rao; Fox, Edward A.

2006-01-01

The GetSmart system was built to support theoretically sound learning processes in a digital library environment by integrating course management, digital library, and concept mapping components to support a constructivist, six-step, information search process. In the fall of 2002 more than 100 students created 1400 concept maps as part of…

Children's Perceptions and Learning about Tropical Rainforests: An Analysis of Their Drawings

ERIC Educational Resources Information Center

Bowker, Rob

2007-01-01

This study analysed 9 to 11 year old children's drawings of tropical rainforests immediately before and after a visit to the Humid Tropics Biome at the Eden Project, Cornwall, UK. A theoretical framework derived from considerations of informal learning and constructivism was used as a basis to develop a methodology to interpret the children's…

A New Model for the World of Instructional Design: A New Model

ERIC Educational Resources Information Center

Isman, Aytekin; Caglar, Mehmet; Dabaj, Fahme; Ersozlu, Hatice

2005-01-01

Like all models, the new model is also based on a theoretical foundation; constructivism, which emphasis is placed on the learner or the student rather than the teacher or the instructor. Students learn by fitting new information together with what they already know. People learn best when they actively construct their own understanding. The new…

German beyond the Classroom: From Local Knowledge to Critical Language Awareness

ERIC Educational Resources Information Center

Boovy, Bradley

2016-01-01

The article details an "Ausflug" to a Mt. Angel, OR as a model for incorporating engaged learning into the German classroom as a way of enhancing not only students' language acquisition but also to promote social justice learning. I offer both theoretical and practical considerations, informed by scholarship on teaching culture in the…

Adult Financial Literacy Education and Latina Learners: A Qualitative Case Study

ERIC Educational Resources Information Center

Sprow, Karin Millard

2010-01-01

This qualitative study used a case study design to explore the teaching and learning that takes place in an adult Latino financial literacy education that was aimed specifically at Latina single mothers. The theoretical framework of the study was informed by a blend of critical and Latina feminist sociocultural adult learning perspectives, as well…

Teaching Diversity through Service-Learning: An Integrative Praxis Pedagogical Approach

ERIC Educational Resources Information Center

Rice, Julie Steinkopf; Horn, Terri

2014-01-01

Service-learning has been shown to be an effective technique for teaching diversity; however, the literature is scant concerning theoretically informed approaches. This study fills that void by drawing upon the work of Freire, Rendón, and others. After describing how an integrative praxis approach is applied in a sociology course, the authors…

Predicting the Adoption of E-Learning Management System: A Case of Selected Private Universities in Nigeria

ERIC Educational Resources Information Center

Nicholas-Omoregbe, Olanike Sharon; Azeta, Ambrose Agbon; Chiazor, Idowu Aigbovo; Omoregbe, Nicholas

2017-01-01

Despite the availability of studies on e-learning management system (eLMS) using information system models, its theoretical foundations have not yet captured social constructs that are peculiar to developing countries including Nigeria. This study was undertaken with the aim of investigating factors that could influence eLMS adoption in higher…

Sharing methodology: a worked example of theoretical integration with qualitative data to clarify practical understanding of learning and generate new theoretical development.

PubMed

Yardley, Sarah; Brosnan, Caragh; Richardson, Jane

2013-01-01

Theoretical integration is a necessary element of study design if clarification of experiential learning is to be achieved. There are few published examples demonstrating how this can be achieved. This methodological article provides a worked example of research methodology that achieved clarification of authentic early experiences (AEEs) through a bi-directional approach to theory and data. Bi-directional refers to our simultaneous use of theory to guide and interrogate empirical data and the use of empirical data to refine theory. We explain the five steps of our methodological approach: (1) understanding the context; (2) critique on existing applications of socio-cultural models to inform study design; (3) data generation; (4) analysis and interpretation and (5) theoretical development through a novel application of Metis. These steps resulted in understanding of how and why different outcomes arose from students participating in AEE. Our approach offers a mechanism for clarification without which evidence-based effective ways to maximise constructive learning cannot be developed. In our example it also contributed to greater theoretical understanding of the influence of social interactions. By sharing this example of research undertaken to develop both theory and educational practice we hope to assist others seeking to conduct similar research.

E-Learning in Engineering Education: A Theoretical and Empirical Study of the Algerian Higher Education Institution

ERIC Educational Resources Information Center

Benchicou, Soraya; Aichouni, Mohamed; Nehari, Driss

2010-01-01

Technology-mediated education or e-learning is growing globally both in scale and delivery capacity due to the large diffusion of the ubiquitous information and communication technologies (ICT) in general and the web technologies in particular. This statement has not yet been fully supported by research, especially in developing countries such as…

Competition for resources can explain patterns of social and individual learning in nature.

PubMed

Smolla, Marco; Gilman, R Tucker; Galla, Tobias; Shultz, Susanne

2015-09-22

In nature, animals often ignore socially available information despite the multiple theoretical benefits of social learning over individual trial-and-error learning. Using information filtered by others is quicker, more efficient and less risky than randomly sampling the environment. To explain the mix of social and individual learning used by animals in nature, most models penalize the quality of socially derived information as either out of date, of poor fidelity or costly to acquire. Competition for limited resources, a fundamental evolutionary force, provides a compelling, yet hitherto overlooked, explanation for the evolution of mixed-learning strategies. We present a novel model of social learning that incorporates competition and demonstrates that (i) social learning is favoured when competition is weak, but (ii) if competition is strong social learning is favoured only when resource quality is highly variable and there is low environmental turnover. The frequency of social learning in our model always evolves until it reduces the mean foraging success of the population. The results of our model are consistent with empirical studies showing that individuals rely less on social information where resources vary little in quality and where there is high within-patch competition. Our model provides a framework for understanding the evolution of social learning, a prerequisite for human cumulative culture. © 2015 The Author(s).

Competition for resources can explain patterns of social and individual learning in nature

PubMed Central

Smolla, Marco; Gilman, R. Tucker; Galla, Tobias; Shultz, Susanne

2015-01-01

In nature, animals often ignore socially available information despite the multiple theoretical benefits of social learning over individual trial-and-error learning. Using information filtered by others is quicker, more efficient and less risky than randomly sampling the environment. To explain the mix of social and individual learning used by animals in nature, most models penalize the quality of socially derived information as either out of date, of poor fidelity or costly to acquire. Competition for limited resources, a fundamental evolutionary force, provides a compelling, yet hitherto overlooked, explanation for the evolution of mixed-learning strategies. We present a novel model of social learning that incorporates competition and demonstrates that (i) social learning is favoured when competition is weak, but (ii) if competition is strong social learning is favoured only when resource quality is highly variable and there is low environmental turnover. The frequency of social learning in our model always evolves until it reduces the mean foraging success of the population. The results of our model are consistent with empirical studies showing that individuals rely less on social information where resources vary little in quality and where there is high within-patch competition. Our model provides a framework for understanding the evolution of social learning, a prerequisite for human cumulative culture. PMID:26354936

Informational Sources, Self-Efficacy and Achievement: A Temporally Displaced Approach

ERIC Educational Resources Information Center

Phan, Huy Phuong

2012-01-01

Personal self-efficacy is an important theoretical orientation that helps to explain students' learning and academic achievements. One area of research inquiry has involved the four major sources of information and their predictive effects on self-efficacy. As an extension for examination, the purpose of our investigation was to explore the…

Changing Models for Researching Pedagogy with Information and Communications Technologies

ERIC Educational Resources Information Center

Webb, M.

2013-01-01

This paper examines changing models of pedagogy by drawing on recent research with teachers and their students as well as theoretical developments. In relation to a participatory view of learning, the paper reviews existing pedagogical models that take little account of the use of information and communications technologies as well as those that…

Students as Tour Guides: Innovation in Fieldwork Assessment

ERIC Educational Resources Information Center

Coe, Neil M.; Smyth, Fiona M.

2010-01-01

This paper introduces and details an innovative mode of fieldcourse assessment in which students take on the role of tour guides to offer their lecturer and peers a themed, theoretically informed journey through the urban landscape of Havana, Cuba. Informed by notions of student-centered learning and mobile methods, the tour offers an enjoyable,…

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

PubMed Central

2012-01-01

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 the clinical system represented a change in mental models of employees that influenced how the organization changed its performance. By applying the framework of organizational learning, we learned that changes originating from a new mental model represent double-loop learning. In double-loop learning, deeper system properties are changed, and consequently changes are more likely to be sustained. PMID:22863199

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

PubMed

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 employees that influenced how the organization changed its performance. By applying the framework of organizational learning, we learned that changes originating from a new mental model represent double-loop learning. In double-loop learning, deeper system properties are changed, and consequently changes are more likely to be sustained.

The role of feedback contingency in perceptual category learning.

PubMed

Ashby, F Gregory; Vucovich, Lauren E

2016-11-01

Feedback is highly contingent on behavior if it eventually becomes easy to predict, and weakly contingent on behavior if it remains difficult or impossible to predict even after learning is complete. Many studies have demonstrated that humans and nonhuman animals are highly sensitive to feedback contingency, but no known studies have examined how feedback contingency affects category learning, and current theories assign little or no importance to this variable. Two experiments examined the effects of contingency degradation on rule-based and information-integration category learning. In rule-based tasks, optimal accuracy is possible with a simple explicit rule, whereas optimal accuracy in information-integration tasks requires integrating information from 2 or more incommensurable perceptual dimensions. In both experiments, participants each learned rule-based or information-integration categories under either high or low levels of feedback contingency. The exact same stimuli were used in all 4 conditions, and optimal accuracy was identical in every condition. Learning was good in both high-contingency conditions, but most participants showed little or no evidence of learning in either low-contingency condition. Possible causes of these effects, as well as their theoretical implications, are discussed. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

The Role of Feedback Contingency in Perceptual Category Learning

PubMed Central

Ashby, F. Gregory; Vucovich, Lauren E.

2016-01-01

Feedback is highly contingent on behavior if it eventually becomes easy to predict, and weakly contingent on behavior if it remains difficult or impossible to predict even after learning is complete. Many studies have demonstrated that humans and nonhuman animals are highly sensitive to feedback contingency, but no known studies have examined how feedback contingency affects category learning, and current theories assign little or no importance to this variable. Two experiments examined the effects of contingency degradation on rule-based and information-integration category learning. In rule-based tasks, optimal accuracy is possible with a simple explicit rule, whereas optimal accuracy in information-integration tasks requires integrating information from two or more incommensurable perceptual dimensions. In both experiments, participants each learned rule-based or information-integration categories under either high or low levels of feedback contingency. The exact same stimuli were used in all four conditions and optimal accuracy was identical in every condition. Learning was good in both high-contingency conditions, but most participants showed little or no evidence of learning in either low-contingency condition. Possible causes of these effects are discussed, as well as their theoretical implications. PMID:27149393

Critical social theory as a model for the informatics curriculum for nursing.

PubMed

Wainwright, P; Jones, P G

2000-01-01

It is widely acknowledged that the education and training of nurses in information management and technology is problematic. Drawing from recent research this paper presents a theoretical framework within which the nature of the problems faced by nurses in the use of information may be analyzed. This framework, based on the critical social theory of Habermas, also provides a model for the informatics curriculum. The advantages of problem based learning and multi-media web-based technologies for the delivery of learning materials within this area are also discussed.

ATR applications of minimax entropy models of texture and shape

NASA Astrophysics Data System (ADS)

Zhu, Song-Chun; Yuille, Alan L.; Lanterman, Aaron D.

2001-10-01

Concepts from information theory have recently found favor in both the mainstream computer vision community and the military automatic target recognition community. In the computer vision literature, the principles of minimax entropy learning theory have been used to generate rich probabilitistic models of texture and shape. In addition, the method of types and large deviation theory has permitted the difficulty of various texture and shape recognition tasks to be characterized by 'order parameters' that determine how fundamentally vexing a task is, independent of the particular algorithm used. These information-theoretic techniques have been demonstrated using traditional visual imagery in applications such as simulating cheetah skin textures and such as finding roads in aerial imagery. We discuss their application to problems in the specific application domain of automatic target recognition using infrared imagery. We also review recent theoretical and algorithmic developments which permit learning minimax entropy texture models for infrared textures in reasonable timeframes.

Uniting Cheminformatics and Chemical Theory To Predict the Intrinsic Aqueous Solubility of Crystalline Druglike Molecules

PubMed Central

2014-01-01

We present four models of solution free-energy prediction for druglike molecules utilizing cheminformatics descriptors and theoretically calculated thermodynamic values. We make predictions of solution free energy using physics-based theory alone and using machine learning/quantitative structure–property relationship (QSPR) models. We also develop machine learning models where the theoretical energies and cheminformatics descriptors are used as combined input. These models are used to predict solvation free energy. While direct theoretical calculation does not give accurate results in this approach, machine learning is able to give predictions with a root mean squared error (RMSE) of ∼1.1 log S units in a 10-fold cross-validation for our Drug-Like-Solubility-100 (DLS-100) dataset of 100 druglike molecules. We find that a model built using energy terms from our theoretical methodology as descriptors is marginally less predictive than one built on Chemistry Development Kit (CDK) descriptors. Combining both sets of descriptors allows a further but very modest improvement in the predictions. However, in some cases, this is a statistically significant enhancement. These results suggest that there is little complementarity between the chemical information provided by these two sets of descriptors, despite their different sources and methods of calculation. Our machine learning models are also able to predict the well-known Solubility Challenge dataset with an RMSE value of 0.9–1.0 log S units. PMID:24564264

On the potential for using immersive virtual environments to support laboratory experiment contextualisation

NASA Astrophysics Data System (ADS)

Machet, Tania; Lowe, David; Gütl, Christian

2012-12-01

This paper explores the hypothesis that embedding a laboratory activity into a virtual environment can provide a richer experimental context and hence improve the understanding of the relationship between a theoretical model and the real world, particularly in terms of the model's strengths and weaknesses. While an identified learning objective of laboratories is to support the understanding of the relationship between models and reality, the paper illustrates that this understanding is hindered by inherently limited experiments and that there is scope for improvement. Despite the contextualisation of learning activities having been shown to support learning objectives in many fields, there is traditionally little contextual information presented during laboratory experimentation. The paper argues that the enhancing laboratory activity with contextual information affords an opportunity to improve students' understanding of the relationship between the theoretical model and the experiment (which is effectively a proxy for the complex real world), thereby improving their understanding of the relationship between the model and reality. The authors propose that these improvements can be achieved by setting remote laboratories within context-rich virtual worlds.

Aligning professional skills and active learning methods: an application for information and communications technology engineering

NASA Astrophysics Data System (ADS)

Llorens, Ariadna; Berbegal-Mirabent, Jasmina; Llinàs-Audet, Xavier

2017-07-01

Engineering education is facing new challenges to effectively provide the appropriate skills to future engineering professionals according to market demands. This study proposes a model based on active learning methods, which is expected to facilitate the acquisition of the professional skills most highly valued in the information and communications technology (ICT) market. The theoretical foundations of the study are based on the specific literature on active learning methodologies. The Delphi method is used to establish the fit between learning methods and generic skills required by the ICT sector. An innovative proposition is therefore presented that groups the required skills in relation to the teaching method that best develops them. The qualitative research suggests that a combination of project-based learning and the learning contract is sufficient to ensure a satisfactory skills level for this profile of engineers.

What's Educational about Open Educational Resources? Different Theoretical Lenses for Conceptualizing Learning with OER

ERIC Educational Resources Information Center

Panke, Stefanie; Seufert, Tina

2013-01-01

In the last decade, the concept of Open Educational Resources (OER) has gained an undeniable momentum. However, it is an easy trap to confuse download and registration rates with actual learning and interest in the adoption and reuse of OER. If we focus solely on access, we cannot differentiate between processes of mere information foraging and…

Chunking and Consolidation: A Theoretical Synthesis of Semantic Networks, Configuring in Conditioning, S--R Versus Cognitive Learning, Normal Forgetting, the Amnesic Syndrome, and the Hippocampal Arousal System.

ERIC Educational Resources Information Center

Wickelgren, Wayne A.

1979-01-01

The relationship between current information processing and prior associative theories of human and animal learning, memory, and amnesia are discussed. The paper focuses on the two components of the amnesic syndrome, retrograde amnesia and anterograde amnesia. A neural theory of chunking and consolidation is proposed. (Author/RD)

Closed-form expressions of some stochastic adapting equations for nonlinear adaptive activation function neurons.

PubMed

Fiori, Simone

2003-12-01

In recent work, we introduced nonlinear adaptive activation function (FAN) artificial neuron models, which learn their activation functions in an unsupervised way by information-theoretic adapting rules. We also applied networks of these neurons to some blind signal processing problems, such as independent component analysis and blind deconvolution. The aim of this letter is to study some fundamental aspects of FAN units' learning by investigating the properties of the associated learning differential equation systems.

Collegial Activity Learning between Heterogeneous Sensors.

PubMed

Feuz, Kyle D; Cook, Diane J

2017-11-01

Activity recognition algorithms have matured and become more ubiquitous in recent years. However, these algorithms are typically customized for a particular sensor platform. In this paper we introduce PECO, a Personalized activity ECOsystem, that transfers learned activity information seamlessly between sensor platforms in real time so that any available sensor can continue to track activities without requiring its own extensive labeled training data. We introduce a multi-view transfer learning algorithm that facilitates this information handoff between sensor platforms and provide theoretical performance bounds for the algorithm. In addition, we empirically evaluate PECO using datasets that utilize heterogeneous sensor platforms to perform activity recognition. These results indicate that not only can activity recognition algorithms transfer important information to new sensor platforms, but any number of platforms can work together as colleagues to boost performance.

It’s The Information!

PubMed Central

Ward, Ryan D.; Gallistel, C.R.; Balsam, Peter D

2013-01-01

Learning in conditioning protocols has long been thought to depend on temporal contiguity between the conditioned stimulus and the unconditioned stimulus. This conceptualization has led to a preponderance of associative models of conditioning. We suggest that trial-based associative models that posit contiguity as the primary principle underlying learning are flawed, and provide a brief review of an alternative, information theoretic approach to conditioning. The information that a CS conveys about the timing of the next US can be derived from the temporal parameters of a conditioning protocol. According to this view, a CS will support conditioned responding if, and only if, it reduces uncertainty about the timing of the next US. PMID:23384660

Learning and Collective Knowledge Construction With Social Media: A Process-Oriented Perspective

PubMed Central

Kimmerle, Joachim; Moskaliuk, Johannes; Oeberst, Aileen; Cress, Ulrike

2015-01-01

Social media are increasingly being used for educational purposes. The first part of this article briefly reviews literature that reports on educational applications of social media tools. The second part discusses theories that may provide a basis for analyzing the processes that are relevant for individual learning and collective knowledge construction. We argue that a systems-theoretical constructivist approach is appropriate to examine the processes of educational social media use, namely, self-organization, the internalization of information, the externalization of knowledge, and the interplay of externalization and internalization providing the basis of a co-evolution of cognitive and social systems. In the third part we present research findings that illustrate and support this systems-theoretical framework. Concluding, we discuss the implications for educational design and for future research on learning and collective knowledge construction with social media. PMID:26246643

Information on the Economic--Social Environment as Didactic Material for Bachelor's or Master's Thesis

ERIC Educational Resources Information Center

Tamosiunas, Teodoras

2006-01-01

Purpose: The purpose of the research is to investigate how particular information from the environment serves as didactic material for students of Siauliai University Faculty of Social Sciences in learning to carry out scientific analysis and theoretical generalization of data in their theses. Methodology: The main sources--Internet databases,…

Self-Instructional Module Based on Cognitive Load Theory: A Study on Information Retention among Trainee Teachers

ERIC Educational Resources Information Center

Ong, Chiek Pin; Tasir, Zaidatun

2015-01-01

The aim of the research is to study the information retention among trainee teachers using a self-instructional printed module based on Cognitive Load Theory for learning spreadsheet software. Effective pedagogical considerations integrating the theoretical concepts related to cognitive load are reflected in the design and development of the…

Information Processing: A Review of Implications of Johnstone's Model for Science Education

ERIC Educational Resources Information Center

St Clair-Thompson, Helen; Overton, Tina; Botton, Chris

2010-01-01

The current review is concerned with an information processing model used in science education. The purpose is to summarise the current theoretical understanding, in published research, of a number of factors that are known to influence learning and achievement. These include field independence, working memory, long-term memory, and the use of…

Observer-based distributed adaptive iterative learning control for linear multi-agent systems

NASA Astrophysics Data System (ADS)

Li, Jinsha; Liu, Sanyang; Li, Junmin

2017-10-01

This paper investigates the consensus problem for linear multi-agent systems from the viewpoint of two-dimensional systems when the state information of each agent is not available. Observer-based fully distributed adaptive iterative learning protocol is designed in this paper. A local observer is designed for each agent and it is shown that without using any global information about the communication graph, all agents achieve consensus perfectly for all undirected connected communication graph when the number of iterations tends to infinity. The Lyapunov-like energy function is employed to facilitate the learning protocol design and property analysis. Finally, simulation example is given to illustrate the theoretical analysis.

Primary school students' conceptions about microorganisms. Influence of theoretical and practical methodologies on learning

NASA Astrophysics Data System (ADS)

Ruiz-Gallardo, José-Reyes; Paños, Esther

2018-04-01

Background: Microorganisms are very important in day-to-day life, but they are inadequately addressed in the Spanish educational system. It is essential that students are well informed about their characteristics and functions.

Information-theoretic decomposition of embodied and situated systems.

PubMed

Da Rold, Federico

2018-07-01

The embodied and situated view of cognition stresses the importance of real-time and nonlinear bodily interaction with the environment for developing concepts and structuring knowledge. In this article, populations of robots controlled by an artificial neural network learn a wall-following task through artificial evolution. At the end of the evolutionary process, time series are recorded from perceptual and motor neurons of selected robots. Information-theoretic measures are estimated on pairings of variables to unveil nonlinear interactions that structure the agent-environment system. Specifically, the mutual information is utilized to quantify the degree of dependence and the transfer entropy to detect the direction of the information flow. Furthermore, the system is analyzed with the local form of such measures, thus capturing the underlying dynamics of information. Results show that different measures are interdependent and complementary in uncovering aspects of the robots' interaction with the environment, as well as characteristics of the functional neural structure. Therefore, the set of information-theoretic measures provides a decomposition of the system, capturing the intricacy of nonlinear relationships that characterize robots' behavior and neural dynamics. Copyright © 2018 Elsevier Ltd. All rights reserved.

Fast reversible learning based on neurons functioning as anisotropic multiplex hubs

NASA Astrophysics Data System (ADS)

Vardi, Roni; Goldental, Amir; Sheinin, Anton; Sardi, Shira; Kanter, Ido

2017-05-01

Neural networks are composed of neurons and synapses, which are responsible for learning in a slow adaptive dynamical process. Here we experimentally show that neurons act like independent anisotropic multiplex hubs, which relay and mute incoming signals following their input directions. Theoretically, the observed information routing enriches the computational capabilities of neurons by allowing, for instance, equalization among different information routes in the network, as well as high-frequency transmission of complex time-dependent signals constructed via several parallel routes. In addition, this kind of hubs adaptively eliminate very noisy neurons from the dynamics of the network, preventing masking of information transmission. The timescales for these features are several seconds at most, as opposed to the imprint of information by the synaptic plasticity, a process which exceeds minutes. Results open the horizon to the understanding of fast and adaptive learning realities in higher cognitive brain's functionalities.

Social learning and the replication process: an experimental investigation.

PubMed

Derex, Maxime; Feron, Romain; Godelle, Bernard; Raymond, Michel

2015-06-07

Human cultural traits typically result from a gradual process that has been described as analogous to biological evolution. This observation has led pioneering scholars to draw inspiration from population genetics to develop a rigorous and successful theoretical framework of cultural evolution. Social learning, the mechanism allowing information to be transmitted between individuals, has thus been described as a simple replication mechanism. Although useful, the extent to which this idealization appropriately describes the actual social learning events has not been carefully assessed. Here, we used a specifically developed computer task to evaluate (i) the extent to which social learning leads to the replication of an observed behaviour and (ii) the consequences it has for fitness landscape exploration. Our results show that social learning does not lead to a dichotomous choice between disregarding and replicating social information. Rather, it appeared that individuals combine and transform information coming from multiple sources to produce new solutions. As a consequence, landscape exploration was promoted by the use of social information. These results invite us to rethink the way social learning is commonly modelled and could question the validity of predictions coming from models considering this process as replicative. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

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

PubMed

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.

Extending the theoretical framework for curriculum integration in pre-clinical medical education.

PubMed

Vergel, John; Stentoft, Diana; Montoya, Juny

2017-08-01

Curriculum integration is widely discussed in medical education but remains ill defined. Although there is plenty of information on logistical aspects of curriculum integration, little attention has been paid to the contextual issues that emerge from its practice and may complicate students' knowledge integration. Therefore, we aimed to uncover how curriculum integration is manifested through context. We collected data from the official curriculum and interviewed ten participants (including curriculum designers, facilitators, and students) in the bachelor's medical program at Aalborg University. We observed various learning activities focused on pre-clinical education. Inspired by grounded theory, we analyzed the information we gathered. The following theoretical constructs emerged after the inductive analysis: 1) curriculum integration complexity is embedded in the institutional learning perspectives; 2) curriculum integration is used to harmonize conflicting learning perspectives in curriculum practice; 3) curriculum integration creates tensions that self-organize its structure; and 4) curriculum integration becomes visible in collaborative learning spaces. These constructs provide a framework for analyzing curriculum integration in the context in which it is meant to appear, which may assist educationalists to gain a more specific understanding of the term. This may enable effective curriculum integration since contextual issues are addressed in addition to the goals specified in the official curriculum.

Input-Based Approaches to Teaching Grammar: A Review of Classroom-Oriented Research.

ERIC Educational Resources Information Center

Ellis, Rod

1999-01-01

Examines the theoretical rationales (universal grammar, information-processing theories, skill-learning theories) for input-based grammar teaching and reviews classroom-oriented research (i.e., enriched-input studies, input-processing studies) that has integrated this option. (Author/VWL)

Choosing to Live or Die: Online Narratives of Recovering from Methamphetamine Abuse.

PubMed

Obong'o, Christopher O; Alexander, Adam C; Chavan, Prachi P; Dillon, Patrick J; Kedia, Satish K

2017-01-01

The goal of this study is to explore motivating factors for recovering from methamphetamine abuse. The source of data was 202 anonymous letters and stories submitted to an online support platform for methamphetamine users. Qualitative data were analyzed in Dedoose software using grounded theory methodology. Ten primary motivating factors for recovering from methamphetamine abuse were identified and mapped onto four constructs from the Health Belief Model: (1) perceived susceptibility (learning from others and learning from self); (2) perceived severity (fear of death and declining health); (3) perceived benefits (reconnecting with family, reconnecting with society, and recovering self-esteem); and (4) cues to action (hitting rock bottom, finding God, and becoming pregnant). By using data from an online support group and categorizing emerging themes within a theoretical framework, findings from this study provide a comprehensive understanding of factors involved in recovery from methamphetamine abuse and offer further insights in developing theoretically informed interventions for methamphetamine users. This study suggests the utility of online platforms for obtaining anonymous but unique experiences about drug abuse and recovery. Findings may benefit healthcare professionals, counselors, and researchers by helping to develop theoretically informed interventions for methamphetamine abuse.

Problem-based learning in optical engineering studies

NASA Astrophysics Data System (ADS)

Voznesenskaya, Anna

2016-09-01

Nowadays, the Problem-Based Learning (PBL) is one of the most prospective educational technologies. PBL is based on evaluation of learning outcomes of a student, both professional and personal, instead of traditional evaluation of theoretical knowledge and selective practical skills. Such an approach requires changes in the curricula development. There should be introduced projects (cases) imitating real tasks from the professional life. These cases should include a problem summary with necessary theoretic description, charts, graphs, information sources etc, task to implement and evaluation indicators and criteria. Often these cases are evaluated with the assessment-center method. To motivate students for the given task they could be divided into groups and have a contest. Whilst it looks easy to implement in social, economic or teaching fields PBL is pretty complicated in engineering studies. Examples of cases in the first-cycle optical engineering studies are shown in this paper. Procedures of the PBL implementation and evaluation are described.

It's the information!

PubMed

Ward, Ryan D; Gallistel, C R; Balsam, Peter D

2013-05-01

Learning in conditioning protocols has long been thought to depend on temporal contiguity between the conditioned stimulus and the unconditioned stimulus. This conceptualization has led to a preponderance of associative models of conditioning. We suggest that trial-based associative models that posit contiguity as the primary principle underlying learning are flawed, and provide a brief review of an alternative, information theoretic approach to conditioning. The information that a CS conveys about the timing of the next US can be derived from the temporal parameters of a conditioning protocol. According to this view, a CS will support conditioned responding if, and only if, it reduces uncertainty about the timing of the next US. Copyright © 2013 Elsevier B.V. All rights reserved.

Conveying, Assessing, and Learning (Strategies for) Structural Knowledge.

ERIC Educational Resources Information Center

Jonassen, David H.; And Others

Diagrams showing the components of structural knowledge and the theoretical basis for structural knowledge introduce four tables presenting information on: (1) implicit strategies for conveying cognitive structure, including content/structures signalling (Meyer), frames/slots (Armbruster and Anderson), and Elaboration Theory (Reigeluth and…

SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering.

PubMed

Cao, Jie; Wu, Zhiang; Wu, Junjie; Xiong, Hui

2013-04-01

Information-theoretic clustering aims to exploit information-theoretic measures as the clustering criteria. A common practice on this topic is the so-called Info-Kmeans, which performs K-means clustering with KL-divergence as the proximity function. While expert efforts on Info-Kmeans have shown promising results, a remaining challenge is to deal with high-dimensional sparse data such as text corpora. Indeed, it is possible that the centroids contain many zero-value features for high-dimensional text vectors, which leads to infinite KL-divergence values and creates a dilemma in assigning objects to centroids during the iteration process of Info-Kmeans. To meet this challenge, in this paper, we propose a Summation-bAsed Incremental Learning (SAIL) algorithm for Info-Kmeans clustering. Specifically, by using an equivalent objective function, SAIL replaces the computation of KL-divergence by the incremental computation of Shannon entropy. This can avoid the zero-feature dilemma caused by the use of KL-divergence. To improve the clustering quality, we further introduce the variable neighborhood search scheme and propose the V-SAIL algorithm, which is then accelerated by a multithreaded scheme in PV-SAIL. Our experimental results on various real-world text collections have shown that, with SAIL as a booster, the clustering performance of Info-Kmeans can be significantly improved. Also, V-SAIL and PV-SAIL indeed help improve the clustering quality at a lower cost of computation.

The theoretical cognitive process of visualization for science education.

PubMed

Mnguni, Lindelani E

2014-01-01

The use of visual models such as pictures, diagrams and animations in science education is increasing. This is because of the complex nature associated with the concepts in the field. Students, especially entrant students, often report misconceptions and learning difficulties associated with various concepts especially those that exist at a microscopic level, such as DNA, the gene and meiosis as well as those that exist in relatively large time scales such as evolution. However the role of visual literacy in the construction of knowledge in science education has not been investigated much. This article explores the theoretical process of visualization answering the question "how can visual literacy be understood based on the theoretical cognitive process of visualization in order to inform the understanding, teaching and studying of visual literacy in science education?" Based on various theories on cognitive processes during learning for science and general education the author argues that the theoretical process of visualization consists of three stages, namely, Internalization of Visual Models, Conceptualization of Visual Models and Externalization of Visual Models. The application of this theoretical cognitive process of visualization and the stages of visualization in science education are discussed.

Influence Function Learning in Information Diffusion Networks.

PubMed

Du, Nan; Liang, Yingyu; Balcan, Maria-Florina; Song, Le

2014-06-01

Can we learn the influence of a set of people in a social network from cascades of information diffusion? This question is often addressed by a two-stage approach: first learn a diffusion model, and then calculate the influence based on the learned model. Thus, the success of this approach relies heavily on the correctness of the diffusion model which is hard to verify for real world data. In this paper, we exploit the insight that the influence functions in many diffusion models are coverage functions, and propose a novel parameterization of such functions using a convex combination of random basis functions. Moreover, we propose an efficient maximum likelihood based algorithm to learn such functions directly from cascade data, and hence bypass the need to specify a particular diffusion model in advance. We provide both theoretical and empirical analysis for our approach, showing that the proposed approach can provably learn the influence function with low sample complexity, be robust to the unknown diffusion models, and significantly outperform existing approaches in both synthetic and real world data.

Health care knowledge and consumer learning: the case of direct-to-consumer drug advertising.

PubMed

Delbaere, Marjorie; Smith, Malcolm C

2006-01-01

This research develops a framework for understanding how consumers process health-related information and interact with their caregivers. The context is direct-to-consumer (DTC) advertising by pharmaceutical companies in North America. This theoretical research presents a research framework and focuses on the presentation of information in advertisements, consumer-learning processes, consumer utilization of health care knowledge, and bias in perceived risk. The paper proposes that consumers who lack expertise with prescription drugs learn from DTC ads differently than those with expertise. Further, it is proposed that consumers also process the information in DTC ads differently depending on the perceived effectiveness of the drug being advertised, and ultimately utilize the knowledge taken from the ads in many different ways, some of which may appear irrational to health care providers. By understanding how consumers interpret and learn from DTC ads, health care organizations and providers may be able to improve health care delivery and consumer outcomes.

Concept maps: A tool for knowledge management and synthesis in web-based conversational learning.

PubMed

Joshi, Ankur; Singh, Satendra; Jaswal, Shivani; Badyal, Dinesh Kumar; Singh, Tejinder

2016-01-01

Web-based conversational learning provides an opportunity for shared knowledge base creation through collaboration and collective wisdom extraction. Usually, the amount of generated information in such forums is very huge, multidimensional (in alignment with the desirable preconditions for constructivist knowledge creation), and sometimes, the nature of expected new information may not be anticipated in advance. Thus, concept maps (crafted from constructed data) as "process summary" tools may be a solution to improve critical thinking and learning by making connections between the facts or knowledge shared by the participants during online discussion This exploratory paper begins with the description of this innovation tried on a web-based interacting platform (email list management software), FAIMER-Listserv, and generated qualitative evidence through peer-feedback. This process description is further supported by a theoretical construct which shows how social constructivism (inclusive of autonomy and complexity) affects the conversational learning. The paper rationalizes the use of concept map as mid-summary tool for extracting information and further sense making out of this apparent intricacy.

Courseware Design by College Students: The Educational Gains.

ERIC Educational Resources Information Center

Or-Bach, Rachel

2000-01-01

Describes the experience gained during several years of teaching courses on CBT (computer-based training) design to undergraduate students with varying backgrounds and interests. Discusses the theoretical background for the potential benefits; preparation for lifelong learning; information technology literacy and teaching multimedia development; a…

Notes from beyond the Cognitive Domain.

ERIC Educational Resources Information Center

Brand, Alice, Comp.; Graves, Dick, Comp.

This packet summarizes the ideas, concepts, suggestions, and speculations growing out of a think tank which explored the uncharted region beyond cognitive learning. The packet shows that participants were divided into groups to discuss teaching, research, bibliographic information, theoretical ideas, and professional issues. The packet contains:…

Multiple Intelligences Centers and Projects.

ERIC Educational Resources Information Center

Chapman, Carolyn; Freeman, Lynn

Based upon Gardner's theory of multiple intelligences, this book guides elementary school teachers through the process of using classroom learning centers and projects by providing choices for students. The guide is divided into two sections, providing the theoretical background and information on how to develop multiple intelligences learning…

Combining Crowd and Expert Labels using Decision Theoretic Active Learning

DTIC Science & Technology

2015-10-11

meta-data such as titles, author information and keywords. Motivating Application: Biomedical Systematic Reviews Evidence - based medicine (EBM) aims to...individuals trained in evidence - based medicine ; usually MDs) reading the entire set of citations retrieved via database search to identify the small

Pattern Activity Clustering and Evaluation (PACE)

NASA Astrophysics Data System (ADS)

Blasch, Erik; Banas, Christopher; Paul, Michael; Bussjager, Becky; Seetharaman, Guna

2012-06-01

With the vast amount of network information available on activities of people (i.e. motions, transportation routes, and site visits) there is a need to explore the salient properties of data that detect and discriminate the behavior of individuals. Recent machine learning approaches include methods of data mining, statistical analysis, clustering, and estimation that support activity-based intelligence. We seek to explore contemporary methods in activity analysis using machine learning techniques that discover and characterize behaviors that enable grouping, anomaly detection, and adversarial intent prediction. To evaluate these methods, we describe the mathematics and potential information theory metrics to characterize behavior. A scenario is presented to demonstrate the concept and metrics that could be useful for layered sensing behavior pattern learning and analysis. We leverage work on group tracking, learning and clustering approaches; as well as utilize information theoretical metrics for classification, behavioral and event pattern recognition, and activity and entity analysis. The performance evaluation of activity analysis supports high-level information fusion of user alerts, data queries and sensor management for data extraction, relations discovery, and situation analysis of existing data.

An integrative review of in-class activities that enable active learning in college science classroom settings

NASA Astrophysics Data System (ADS)

Arthurs, Leilani A.; Kreager, Bailey Zo

2017-10-01

Engaging students in active learning is linked to positive learning outcomes. This study aims to synthesise the peer-reviewed literature about 'active learning' in college science classroom settings. Using the methodology of an integrative literature review, 337 articles archived in the Educational Resources Information Center (ERIC) are examined. Four categories of in-class activities emerge: (i) individual non-polling activities, (ii) in-class polling activities, (iii) whole-class discussion or activities, and (iv) in-class group activities. Examining the collection of identified in-class activities through the lens of a theoretical framework informed by constructivism and social interdependence theory, we synthesise the reviewed literature to propose the active learning strategies (ALSs) model and the instructional decisions to enable active learning (IDEAL) theory. The ALS model characterises in-class activities in terms of the degrees to which they are designed to promote (i) peer interaction and (ii) social interdependence. The IDEAL theory includes the ALS model and provides a framework for conceptualising different levels of the general concept 'active learning' and how these levels connect to instructional decision-making about using in-class activities. The proposed ALS model and IDEAL theory can be utilised to inform instructional decision-making and future research about active learning in college science courses.

The manipulation of vision during the powerlift squat: exploring the boundaries of the specificity of learning hypothesis.

PubMed

Bennett, S; Davids, K

1995-09-01

The available information for controlling a multidegree-of-freedom sport action was manipulated in 2 experiments. In the first, 10 intermediate lifters were participants; for the second, 8 skilled and 8 less skilled lifters were observed. Three single repetitions of a powerlift squat were performed under 3 vision conditions (i.e., full, ambient, no vision). The less skilled and intermediate lifters' technical performance decreased significantly with the removal of visual information. There was no detrimental effect in the skilled group. Despite the differing information constraints, skilled lifters exhibited a high level of positioning accuracy and timing consistency across conditions. These data fail to support the theoretical predictions of the specificity of learning hypothesis. The differences between the task constraints in this study and those in manual aiming investigations may represent a boundary to the current propositions of the specificity of learning hypothesis.

Knowledgeable Lemurs Become More Central in Social Networks.

PubMed

Kulahci, Ipek G; Ghazanfar, Asif A; Rubenstein, Daniel I

2018-04-23

Strong relationships exist between social connections and information transmission [1-9], where individuals' network position plays a key role in whether or not they acquire novel information [2, 3, 5, 6]. The relationships between social connections and information acquisition may be bidirectional if learning novel information, in addition to being influenced by it, influences network position. Individuals who acquire information quickly and use it frequently may receive more affiliative behaviors [10, 11] and may thus have a central network position. However, the potential influence of learning on network centrality has not been theoretically or empirically addressed. To bridge this epistemic gap, we investigated whether ring-tailed lemurs' (Lemur catta) centrality in affiliation networks changed after they learned how to solve a novel foraging task. Lemurs who had frequently initiated interactions and approached conspecifics before the learning experiment were more likely to observe and learn the task solution. Comparing social networks before and after the learning experiment revealed that the frequently observed lemurs received more affiliative behaviors than they did before-they became more central after the experiment. This change persisted even after the task was removed and was not caused by the observed lemurs initiating more affiliative behaviors. Consequently, quantifying received and initiated interactions separately provides unique insights into the relationships between learning and centrality. While the factors that influence network position are not fully understood, our results suggest that individual differences in learning and becoming successful can play a major role in social centrality, especially when learning from others is advantageous. Copyright © 2018 Elsevier Ltd. All rights reserved.

Theoretical Overview on the Improvement of Interest in Learning Theoretical Course for Engineering Students

ERIC Educational Resources Information Center

Xiao, Manlin; Zhang, Jianglin

2016-01-01

The phenomenon that engineering students have little interest in theoretical knowledge learning is more and more apparent. Therefore, most students fail to understand and apply theories to solve practical problems. To solve this problem, the importance of improving students' interest in the learning theoretical course is discussed firstly in this…

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

PubMed Central

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 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 psychological and social domains. We conclude with suggestions for further collaborative projects between developmental and computational cognitive scientists. PMID:22582739

Cultural Learning Redux.

PubMed

Tomasello, Michael

2016-05-01

M. Tomasello, A. Kruger, and H. Ratner (1993) proposed a theory of cultural learning comprising imitative learning, instructed learning, and collaborative learning. Empirical and theoretical advances in the past 20 years suggest modifications to the theory; for example, children do not just imitate but overimitate in order to identify and affiliate with others in their cultural group, children learn from pedagogy not just episodic facts but the generic structure of their cultural worlds, and children collaboratively co-construct with those in their culture normative rules for doing things. In all, human children do not just culturally learn useful instrumental activities and information, they conform to the normative expectations of the cultural group and even contribute themselves to the creation of such normative expectations. © 2016 The Author. Child Development © 2016 Society for Research in Child Development, Inc.

Evaluation of Virtual Microscopy in Medical Histology Teaching

ERIC Educational Resources Information Center

Mione, Sylvia; Valcke, Martin; Cornelissen, Maria

2013-01-01

Histology stands as a major discipline in the life science curricula, and the practice of teaching it is based on theoretical didactic strategies along with practical training. Traditionally, students achieve practical competence in this subject by learning optical microscopy. Today, students can use newer information and communication…

Efficient retrieval of landscape Hessian: Forced optimal covariance adaptive learning

NASA Astrophysics Data System (ADS)

Shir, Ofer M.; Roslund, Jonathan; Whitley, Darrell; Rabitz, Herschel

2014-06-01

Knowledge of the Hessian matrix at the landscape optimum of a controlled physical observable offers valuable information about the system robustness to control noise. The Hessian can also assist in physical landscape characterization, which is of particular interest in quantum system control experiments. The recently developed landscape theoretical analysis motivated the compilation of an automated method to learn the Hessian matrix about the global optimum without derivative measurements from noisy data. The current study introduces the forced optimal covariance adaptive learning (FOCAL) technique for this purpose. FOCAL relies on the covariance matrix adaptation evolution strategy (CMA-ES) that exploits covariance information amongst the control variables by means of principal component analysis. The FOCAL technique is designed to operate with experimental optimization, generally involving continuous high-dimensional search landscapes (≳30) with large Hessian condition numbers (≳104). This paper introduces the theoretical foundations of the inverse relationship between the covariance learned by the evolution strategy and the actual Hessian matrix of the landscape. FOCAL is presented and demonstrated to retrieve the Hessian matrix with high fidelity on both model landscapes and quantum control experiments, which are observed to possess nonseparable, nonquadratic search landscapes. The recovered Hessian forms were corroborated by physical knowledge of the systems. The implications of FOCAL extend beyond the investigated studies to potentially cover other physically motivated multivariate landscapes.

Professional Identity Development of Teacher Candidates Participating in an Informal Science Education Internship: A focus on drawings as evidence

NASA Astrophysics Data System (ADS)

Katz, Phyllis; McGinnis, J. Randy; Hestness, Emily; Riedinger, Kelly; Marbach-Ad, Gili; Dai, Amy; Pease, Rebecca

2011-06-01

This study investigated the professional identity development of teacher candidates participating in an informal afterschool science internship in a formal science teacher preparation programme. We used a qualitative research methodology. Data were collected from the teacher candidates, their informal internship mentors, and the researchers. The data were analysed through an identity development theoretical framework, informed by participants' mental models of science teaching and learning. We learned that the experience in an afterschool informal internship encouraged the teacher candidates to see themselves, and to be seen by others, as enacting key recommendations by science education standards documents, including exhibiting: positive attitudes, sensitivity to diversity, and increasing confidence in facilitating hands-on science participation, inquiry, and collaborative work. Our study provided evidence that the infusion of an informal science education internship in a formal science teacher education programme influenced positively participants' professional identity development as science teachers.

A theoretical framework for improving education in geriatric medicine.

PubMed

Boreham, N C

1983-01-01

Alternative concepts of learning include a formal system in which part of the medical curriculum is designated as that for geriatric medicine; a non-formal system including conferences, lectures, broadcasts, available to both medical students and physicians; and thirdly, an informal system in which doctors learn medicine through their experience practising the profession. While the most emphasis in medical schools would seem to be on the formal system it is essential that medical educators (if they wish their students in later life to maintain high levels of self-initiated learning) must use all three strategies. The structure of a system of formal teaching for geriatric medicine is examined. An important objective is attitude change and it is in achieving this that geriatricians must be particularly involved in non-formal and informal systems.

Working Memory Underpins Cognitive Development, Learning, and Education

ERIC Educational Resources Information Center

Cowan, Nelson

2014-01-01

Working memory is the retention of a small amount of information in a readily accessible form. It facilitates planning, comprehension, reasoning, and problem solving. I examine the historical roots and conceptual development of the concept and the theoretical and practical implications of current debates about working memory mechanisms. Then, I…

Scaffolding with and through Videos: An Example of ICT-TPACK

ERIC Educational Resources Information Center

Otrel-Cass, Kathrin; Khoo, Elaine; Cowie, Bronwen

2012-01-01

In New Zealand and internationally claims are being made about the potential for information and communication technologies (ICTs) to transform teaching and learning. However, the theoretical underpinnings explaining the complex interplay between the content, pedagogy and technology a teacher needs to consider must be expanded. This article…

Knowledge Acquisition with Static and Animated Pictures in Computer-Based Learning.

ERIC Educational Resources Information Center

Schnotz, Wolfgang; Grzondziel, Harriet

In educational settings, computers provide specific possibilities of visualizing information for instructional purposes. Besides the use of static pictures, computers can present animated pictures which allow exploratory manipulation by the learner and display the dynamic behavior of a system. This paper develops a theoretical framework for…

Development of a Teaching Methodology for Undergraduate Human Development in Psychology

ERIC Educational Resources Information Center

Rodriguez, Maria A.; Espinoza, José M.

2015-01-01

The development of a teaching methodology for the undergraduate Psychology course Human Development II in a private university in Lima, Peru is described. The theoretical framework consisted of an integration of Citizen Science and Service Learning, with the application of Information and Communications Technology (ICT), specifically Wikipedia and…

Implications of the Value of Hydrologic Information to Reservoir Operations--Learning from the Past

ERIC Educational Resources Information Center

Hejazi, Mohamad Issa

2009-01-01

Closing the gap between theoretical reservoir operation and the real-world implementation remains a challenge in contemporary reservoir operations. Past research has focused on optimization algorithms and establishing optimal policies for reservoir operations. In this research, we attempt to understand operators' release decisions by investigating…

Comparison of American and Chinese College Students' Perception of Instructor Authority

ERIC Educational Resources Information Center

Li, Ting

2012-01-01

Teacher authority has long been recognized as one of the critical factors that contribute to the formation of effective learning circumstances (Haywood-Metz, 2006). A survey was developed based on Dornbusch and Scott's (1975) theoretical framework of distinction between formal authority and informal authority, named "The Attitude towards…

Changing Conceptions of Time: Implications for Educational Research and Practice

ERIC Educational Resources Information Center

Duncheon, Julia C.; Tierney, William G.

2013-01-01

The construct of time influences student learning in and out of school and consequently pervades educational discourse. Yet the integration of information and communication technologies into contemporary society is changing how people perceive and experience time. Traditional theoretical and methodological approaches to time research no longer…

How to Learn and Have Fun with Poly(Vinyl Alcohol) and White Glue.

ERIC Educational Resources Information Center

de Zea Bermudez, V.; Passos de Almeida, P.; Feria Seita, J.

1998-01-01

Presents a classroom guide for a simple theoretical approach to the study of certain fluids. Discusses background information, followed by experimental procedures for the preparation of two popular viscoelastic materials ("Slime" and "Silly Putty") that exhibit unusual flow properties. Also lists student discussion questions…

Play-Based Art Activities in Early Years: Teachers' Thinking and Practice

ERIC Educational Resources Information Center

Savva, Andri; Erakleous, Valentina

2018-01-01

The present study reports findings on pre-service teachers' thinking during planning and implementing play-based art activities. "Thinking" (in the present study) is informed by discourses emphasising art teaching and learning in relation to play and theoretical assumptions conceptualising planning as "practice of knowing."…

Process-Oriented Worked Examples: Improving Transfer Performance through Enhanced Understanding

ERIC Educational Resources Information Center

van Gog, Tamara; Paas, Fred; van Merrienboer, Jeroen J. G.

2004-01-01

The research on worked examples has shown that for novices, studying worked examples is often a more effective and efficient way of learning than solving conventional problems. This theoretical paper argues that adding process-oriented information to worked examples can further enhance transfer performance, especially for complex cognitive skills…

A linear recurrent kernel online learning algorithm with sparse updates.

PubMed

Fan, Haijin; Song, Qing

2014-02-01

In this paper, we propose a recurrent kernel algorithm with selectively sparse updates for online learning. The algorithm introduces a linear recurrent term in the estimation of the current output. This makes the past information reusable for updating of the algorithm in the form of a recurrent gradient term. To ensure that the reuse of this recurrent gradient indeed accelerates the convergence speed, a novel hybrid recurrent training is proposed to switch on or off learning the recurrent information according to the magnitude of the current training error. Furthermore, the algorithm includes a data-dependent adaptive learning rate which can provide guaranteed system weight convergence at each training iteration. The learning rate is set as zero when the training violates the derived convergence conditions, which makes the algorithm updating process sparse. Theoretical analyses of the weight convergence are presented and experimental results show the good performance of the proposed algorithm in terms of convergence speed and estimation accuracy. Copyright © 2013 Elsevier Ltd. All rights reserved.

Domain generality vs. modality specificity: The paradox of statistical learning

PubMed Central

Frost, Ram; Armstrong, Blair C.; Siegelman, Noam; Christiansen, Morten H.

2015-01-01

Statistical learning is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying distributional properties of the input. Recent studies examining whether there are commonalities in the learning of distributional information across different domains or modalities consistently reveal, however, modality and stimulus specificity. An important question is, therefore, how and why a hypothesized domain-general learning mechanism systematically produces such effects. We offer a theoretical framework according to which statistical learning is not a unitary mechanism, but a set of domain-general computational principles, that operate in different modalities and therefore are subject to the specific constraints characteristic of their respective brain regions. This framework offers testable predictions and we discuss its computational and neurobiological plausibility. PMID:25631249

E-assessment of prior learning: a pilot study of interactive assessment of staff with no formal education who are working in Swedish elderly care

PubMed Central

2014-01-01

Background The current paper presents a pilot study of interactive assessment using information and communication technology (ICT) to evaluate the knowledge, skills and abilities of staff with no formal education who are working in Swedish elderly care. Methods Theoretical and practical assessment methods were developed and used with simulated patients and computer-based tests to identify strengths and areas for personal development among staff with no formal education. Results Of the 157 staff with no formal education, 87 began the practical and/or theoretical assessments, and 63 completed both assessments. Several of the staff passed the practical assessments, except the morning hygiene assessment, where several failed. Other areas for staff development, i.e. where several failed (>50%), were the theoretical assessment of the learning objectives: Health, Oral care, Ergonomics, hygiene, esthetic, environmental, Rehabilitation, Assistive technology, Basic healthcare and Laws and organization. None of the staff passed all assessments. Number of years working in elderly care and staff age were not statistically significantly related to the total score of grades on the various learning objectives. Conclusion The interactive assessments were useful in assessing staff members’ practical and theoretical knowledge, skills, and abilities and in identifying areas in need of development. It is important that personnel who lack formal qualifications be clearly identified and given a chance to develop their competence through training, both theoretical and practical. The interactive e-assessment approach analyzed in the present pilot study could serve as a starting point. PMID:24742168

Social learning in a longitudinal integrated clinical placement.

PubMed

Roberts, Chris; Daly, Michele; Held, Fabian; Lyle, David

2017-10-01

Recent research has demonstrated that longitudinal integrated placements (LICs) are an alternative mode of clinical education to traditional placements. Extended student engagement in community settings provide the advantages of educational continuity as well as increased service provision in underserved areas. Developing and maintaining LICs require a differing approach to student learning than that for traditional placements. There has been little theoretically informed empirical research that has offered explanations of which are the important factors that promote student learning in LICs and the relationships between those factors. We explored the relationship between student learning, student perceptions of preparedness for practice and student engagement, in the context of a rural LIC. We used a sequential qualitative design employing thematic, comparative and relational analysis of data from student interviews (n = 18) to understand possible processes and mechanisms of student learning in the LIC. Through the theoretical lens of social learning systems, we identified two major themes; connectivity and preparedness for practice. Connectivity described engagement and relationship building by students, across formal and informal learning experiences, interprofessional interactions, social interactions with colleagues, interaction with patients outside of the clinical setting, and the extent of integration in the wider community. Preparedness for practice, reflected students' perceptions of having sufficient depth in clinical skills, personal and professional development, cultural awareness and understanding of the health system, to work in that system. A comparative analysis compared the nature and variation of learning across students. In a relational analysis, there was a positive association between connectivity and preparedness for practice. Connectivity is a powerful enabler of students' agentic engagement, collaboration, and learning within an LIC. It is related to student perceptions of preparedness for practice. These findings provide insight for institutions wishing to develop similar programmes, by encouraging health professional educators to consider all of the potential elements of the placements, which most promote connectivity.

Evolution of costly explicit memory and cumulative culture.

PubMed

Nakamaru, Mayuko

2016-06-21

Humans can acquire new information and modify it (cumulative culture) based on their learning and memory abilities, especially explicit memory, through the processes of encoding, consolidation, storage, and retrieval. Explicit memory is categorized into semantic and episodic memories. Animals have semantic memory, while episodic memory is unique to humans and essential for innovation and the evolution of culture. As both episodic and semantic memory are needed for innovation, the evolution of explicit memory influences the evolution of culture. However, previous theoretical studies have shown that environmental fluctuations influence the evolution of imitation (social learning) and innovation (individual learning) and assume that memory is not an evolutionary trait. If individuals can store and retrieve acquired information properly, they can modify it and innovate new information. Therefore, being able to store and retrieve information is essential from the perspective of cultural evolution. However, if both storage and retrieval were too costly, forgetting and relearning would have an advantage over storing and retrieving acquired information. In this study, using mathematical analysis and individual-based simulations, we investigate whether cumulative culture can promote the coevolution of costly memory and social and individual learning, assuming that cumulative culture improves the fitness of each individual. The conclusions are: (1) without cumulative culture, a social learning cost is essential for the evolution of storage-retrieval. Costly storage-retrieval can evolve with individual learning but costly social learning does not evolve. When low-cost social learning evolves, the repetition of forgetting and learning is favored more than the evolution of costly storage-retrieval, even though a cultural trait improves the fitness. (2) When cumulative culture exists and improves fitness, storage-retrieval can evolve with social and/or individual learning, which is not influenced by the degree of the social learning cost. Whether individuals socially learn a low level of culture from observing a high or the low level of culture influences the evolution of memory and learning, especially individual learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity.

PubMed

Nakano, Takashi; Otsuka, Makoto; Yoshimoto, Junichiro; Doya, Kenji

2015-01-01

A theoretical framework of reinforcement learning plays an important role in understanding action selection in animals. Spiking neural networks provide a theoretically grounded means to test computational hypotheses on neurally plausible algorithms of reinforcement learning through numerical simulation. However, most of these models cannot handle observations which are noisy, or occurred in the past, even though these are inevitable and constraining features of learning in real environments. This class of problem is formally known as partially observable reinforcement learning (PORL) problems. It provides a generalization of reinforcement learning to partially observable domains. In addition, observations in the real world tend to be rich and high-dimensional. In this work, we use a spiking neural network model to approximate the free energy of a restricted Boltzmann machine and apply it to the solution of PORL problems with high-dimensional observations. Our spiking network model solves maze tasks with perceptually ambiguous high-dimensional observations without knowledge of the true environment. An extended model with working memory also solves history-dependent tasks. The way spiking neural networks handle PORL problems may provide a glimpse into the underlying laws of neural information processing which can only be discovered through such a top-down approach.

A Spiking Neural Network Model of Model-Free Reinforcement Learning with High-Dimensional Sensory Input and Perceptual Ambiguity

PubMed Central

Nakano, Takashi; Otsuka, Makoto; Yoshimoto, Junichiro; Doya, Kenji

2015-01-01

A theoretical framework of reinforcement learning plays an important role in understanding action selection in animals. Spiking neural networks provide a theoretically grounded means to test computational hypotheses on neurally plausible algorithms of reinforcement learning through numerical simulation. However, most of these models cannot handle observations which are noisy, or occurred in the past, even though these are inevitable and constraining features of learning in real environments. This class of problem is formally known as partially observable reinforcement learning (PORL) problems. It provides a generalization of reinforcement learning to partially observable domains. In addition, observations in the real world tend to be rich and high-dimensional. In this work, we use a spiking neural network model to approximate the free energy of a restricted Boltzmann machine and apply it to the solution of PORL problems with high-dimensional observations. Our spiking network model solves maze tasks with perceptually ambiguous high-dimensional observations without knowledge of the true environment. An extended model with working memory also solves history-dependent tasks. The way spiking neural networks handle PORL problems may provide a glimpse into the underlying laws of neural information processing which can only be discovered through such a top-down approach. PMID:25734662

Theory to Reality: A Few Issues in Implementing Problem-Based Learning

ERIC Educational Resources Information Center

Hung, Woei

2011-01-01

The success of an intervention depends not only upon its theoretical soundness, but also on proper implementation that reflects the guidelines derived from its theoretical conception. Debates surrounding the effectiveness of problem-based learning (PBL) have focused on its theoretical conception and students' learning outcomes, but implementation…

Can we undo our first impressions?: The role of reinterpretation in reversing implicit evaluations

PubMed Central

Mann, Thomas C.; Ferguson, Melissa J.

2015-01-01

Little work has examined whether implicit evaluations can be effectively “undone” after learning new revelations. Across 7 experiments, participants fully reversed their implicit evaluation of a novel target person after reinterpreting earlier information. Revision occurred across multiple implicit evaluation measures (Experiments 1a and 1b), and only when the new information prompted a reinterpretation of prior learning versus did not (Experiment 2). The updating required active consideration of the information, as it emerged only with at least moderate cognitive resources (Experiment 3). Self-reported reinterpretation predicted (Experiment 4) and mediated (Experiment 5) revised implicit evaluations beyond the separate influence of how thoughtfully participants considered the new information in general. Finally, the revised evaluations were durable three days later (Experiment 6). We discuss how these results inform existing theoretical models, and consider implications for future research. PMID:25798625

Can we undo our first impressions? The role of reinterpretation in reversing implicit evaluations.

PubMed

Mann, Thomas C; Ferguson, Melissa J

2015-06-01

Little work has examined whether implicit evaluations can be effectively "undone" after learning new revelations. Across 7 experiments, participants fully reversed their implicit evaluation of a novel target person after reinterpreting earlier information. Revision occurred across multiple implicit evaluation measures (Experiments 1a and 1b), and only when the new information prompted a reinterpretation of prior learning versus did not (Experiment 2). The updating required active consideration of the information, as it emerged only with at least moderate cognitive resources (Experiment 3). Self-reported reinterpretation predicted (Experiment 4) and mediated (Experiment 5) revised implicit evaluations beyond the separate influence of how thoughtfully participants considered the new information in general. Finally, the revised evaluations were durable 3 days later (Experiment 6). We discuss how these results inform existing theoretical models, and consider implications for future research. (c) 2015 APA, all rights reserved).

Examining Neuronal Connectivity and Its Role in Learning and Memory

NASA Astrophysics Data System (ADS)

Gala, Rohan

Learning and long-term memory formation are accompanied with changes in the patterns and weights of synaptic connections in the underlying neuronal network. However, the fundamental rules that drive connectivity changes, and the precise structure-function relationships within neuronal networks remain elusive. Technological improvements over the last few decades have enabled the observation of large but specific subsets of neurons and their connections in unprecedented detail. Devising robust and automated computational methods is critical to distill information from ever-increasing volumes of raw experimental data. Moreover, statistical models and theoretical frameworks are required to interpret the data and assemble evidence into understanding of brain function. In this thesis, I first describe computational methods to reconstruct connectivity based on light microscopy imaging experiments. Next, I use these methods to quantify structural changes in connectivity based on in vivo time-lapse imaging experiments. Finally, I present a theoretical model of associative learning that can explain many stereotypical features of experimentally observed connectivity.

Placebo Response is Driven by UCS Revaluation: Evidence, Neurophysiological Consequences and a Quantitative Model.

PubMed

Puviani, Luca; Rama, Sidita

2016-07-20

Despite growing scientific interest in the placebo effect and increasing understanding of neurobiological mechanisms, theoretical modeling of the placebo response remains poorly developed. The most extensively accepted theories are expectation and conditioning, involving both conscious and unconscious information processing. However, it is not completely understood how these mechanisms can shape the placebo response. We focus here on neural processes which can account for key properties of the response to substance intake. It is shown that placebo response can be conceptualized as a reaction of a distributed neural system within the central nervous system. Such a reaction represents an integrated component of the response to open substance administration (or to substance intake) and is updated through "unconditioned stimulus (UCS) revaluation learning". The analysis leads to a theorem, which proves the existence of two distinct quantities coded within the brain, these are the expected or prediction outcome and the reactive response. We show that the reactive response is updated automatically by implicit revaluation learning, while the expected outcome can also be modulated through conscious information processing. Conceptualizing the response to substance intake in terms of UCS revaluation learning leads to the theoretical formulation of a potential neuropharmacological treatment for increasing unlimitedly the effectiveness of a given drug.

The Cognitive Science of Learning: Concepts and Strategies for the Educator and Learner.

PubMed

Weidman, Joseph; Baker, Keith

2015-12-01

Education is the fundamental process used to develop and maintain the professional skills of physicians. Medical students, residents, and fellows are expected to learn considerable amounts of information as they progress toward board certification. Established practitioners must continue to learn in an effort to remain up-to-date in their clinical realm. Those responsible for educating these populations endeavor to teach in a manner that is effective, efficient, and durable. The study of learning and performance is a subdivision of the field of cognitive science that focuses on how people interpret and process information and how they eventually develop mastery. A deeper understanding of how individuals learn can empower both educators and learners to be more effective in their endeavors. In this article, we review a number of concepts found in the literature on learning and performance. We address both the theoretical principles and the practical applications of each concept. Cognitive load theory, constructivism, and analogical transfer are concepts particularly beneficial to educators. An understanding of goal orientation, metacognition, retrieval, spaced learning, and deliberate practice will primarily benefit the learner. When these concepts are understood and incorporated into education and study, the effectiveness of learning is significantly improved.

Influence Function Learning in Information Diffusion Networks

PubMed Central

Du, Nan; Liang, Yingyu; Balcan, Maria-Florina; Song, Le

2015-01-01

Can we learn the influence of a set of people in a social network from cascades of information diffusion? This question is often addressed by a two-stage approach: first learn a diffusion model, and then calculate the influence based on the learned model. Thus, the success of this approach relies heavily on the correctness of the diffusion model which is hard to verify for real world data. In this paper, we exploit the insight that the influence functions in many diffusion models are coverage functions, and propose a novel parameterization of such functions using a convex combination of random basis functions. Moreover, we propose an efficient maximum likelihood based algorithm to learn such functions directly from cascade data, and hence bypass the need to specify a particular diffusion model in advance. We provide both theoretical and empirical analysis for our approach, showing that the proposed approach can provably learn the influence function with low sample complexity, be robust to the unknown diffusion models, and significantly outperform existing approaches in both synthetic and real world data. PMID:25973445

Theoretical perspectives on public communication preparedness for terrorist attacks.

PubMed

Wray, Ricardo J; Kreuter, Matthew W; Jacobsen, Heather; Clements, Bruce; Evans, R Gregory

2004-01-01

The experience of federal health authorities in responding to the mailed anthrax attacks in the Fall of 2001 sheds light on the challenges of public information dissemination in emergencies. Lessons learned from the Fall of 2001 have guided more recent efforts related to crisis communication and preparedness goals. This article applies theories and evidence from the field of communication to provide an orientation to how public health communication can best contribute to the preparedness effort. This theoretical orientation provides a framework to systematically assess current recommendations for preparedness communication.

Discriminative Multi-View Interactive Image Re-Ranking.

PubMed

Li, Jun; Xu, Chang; Yang, Wankou; Sun, Changyin; Tao, Dacheng

2017-07-01

Given an unreliable visual patterns and insufficient query information, content-based image retrieval is often suboptimal and requires image re-ranking using auxiliary information. In this paper, we propose a discriminative multi-view interactive image re-ranking (DMINTIR), which integrates user relevance feedback capturing users' intentions and multiple features that sufficiently describe the images. In DMINTIR, heterogeneous property features are incorporated in the multi-view learning scheme to exploit their complementarities. In addition, a discriminatively learned weight vector is obtained to reassign updated scores and target images for re-ranking. Compared with other multi-view learning techniques, our scheme not only generates a compact representation in the latent space from the redundant multi-view features but also maximally preserves the discriminative information in feature encoding by the large-margin principle. Furthermore, the generalization error bound of the proposed algorithm is theoretically analyzed and shown to be improved by the interactions between the latent space and discriminant function learning. Experimental results on two benchmark data sets demonstrate that our approach boosts baseline retrieval quality and is competitive with the other state-of-the-art re-ranking strategies.

Neurophysiological Markers of Statistical Learning in Music and Language: Hierarchy, Entropy, and Uncertainty.

PubMed

Daikoku, Tatsuya

2018-06-19

Statistical learning (SL) is a method of learning based on the transitional probabilities embedded in sequential phenomena such as music and language. It has been considered an implicit and domain-general mechanism that is innate in the human brain and that functions independently of intention to learn and awareness of what has been learned. SL is an interdisciplinary notion that incorporates information technology, artificial intelligence, musicology, and linguistics, as well as psychology and neuroscience. A body of recent study has suggested that SL can be reflected in neurophysiological responses based on the framework of information theory. This paper reviews a range of work on SL in adults and children that suggests overlapping and independent neural correlations in music and language, and that indicates disability of SL. Furthermore, this article discusses the relationships between the order of transitional probabilities (TPs) (i.e., hierarchy of local statistics) and entropy (i.e., global statistics) regarding SL strategies in human's brains; claims importance of information-theoretical approaches to understand domain-general, higher-order, and global SL covering both real-world music and language; and proposes promising approaches for the application of therapy and pedagogy from various perspectives of psychology, neuroscience, computational studies, musicology, and linguistics.

The educational effects of mobile learning on students of medical sciences: A systematic review in experimental studies.

PubMed

Koohestani, Hamid Reza; Soltani Arabshahi, Seyed Kamran; Fata, Ladan; Ahmadi, Fazlollah

2018-04-01

The demand for mobile learning in the medical science educational program is increasing. The present review study gathers evidence highlighted by the experimental studies on the educational effects of mobile learning for medical science students. The study was carried out as a systematic literature search published from 2007 to July 2017 in the databases PubMed/Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Knowledge (Thomson Reuters) , Educational Resources and Information Center (ERIC), EMBASE (Elsevier), Cochrane library, PsycINFO and Google Scholar. To examine quality of the articles, a tool validated by the BEME Review was employed. Totally, 21 papers entered the study. Three main themes emerged from the content of papers: (1) improvement in student clinical competency and confidence, (2) acquisition and enhancing of students' theoretical knowledge, and (3) students' positive attitudes to and perception of mobile learning. Level 2B of Kirkpatrick hierarchy had been examined by all the papers and seven of them had reported two or more outcome levels, but level 4 was not reported in the papers. Our review showed that the students of medical sciences had positive response and attitudes to mobile learning. Moreover, implementation of mobile learning in medical sciences program might lead to valuable educational benefits and improve clinical competence and confidence along with theoretical knowledge, attitudes, and perception of mobile learning. The results indicated that mobile learning strategy in medical education can positively affect learning in all three domains of Bloom's Taxonomy.

The hippocampus and exploration: dynamically evolving behavior and neural representations

PubMed Central

Johnson, Adam; Varberg, Zachary; Benhardus, James; Maahs, Anthony; Schrater, Paul

2012-01-01

We develop a normative statistical approach to exploratory behavior called information foraging. Information foraging highlights the specific processes that contribute to active, rather than passive, exploration and learning. We hypothesize that the hippocampus plays a critical role in active exploration through directed information foraging by supporting a set of processes that allow an individual to determine where to sample. By examining these processes, we show how information directed information foraging provides a formal theoretical explanation for the common hippocampal substrates of constructive memory, vicarious trial and error behavior, schema-based facilitation of memory performance, and memory consolidation. PMID:22848196

Some New Theoretical Issues in Systems Thinking Relevant for Modelling Corporate Learning

ERIC Educational Resources Information Center

Minati, Gianfranco

2007-01-01

Purpose: The purpose of this paper is to describe fundamental concepts and theoretical challenges with regard to systems, and to build on these in proposing new theoretical frameworks relevant to learning, for example in so-called learning organizations. Design/methodology/approach: The paper focuses on some crucial fundamental aspects introduced…

Misleading Theoretical Assumptions in Hypertext/Hypermedia Research.

ERIC Educational Resources Information Center

Tergan, Sigmar-Olaf

1997-01-01

Reviews basic theoretical assumptions of research on learning with hypertext/hypermedia. Focuses on whether the results of research on hypertext/hypermedia-based learning support these assumptions. Results of empirical studies and theoretical analysis reveal that many research approaches have been misled by inappropriate theoretical assumptions on…

Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory

ERIC Educational Resources Information Center

Agres, Kat; Abdallah, Samer; Pearce, Marcus

2018-01-01

A basic function of cognition is to detect regularities in sensory input to facilitate the prediction and recognition of future events. It has been proposed that these implicit expectations arise from an internal predictive coding model, based on knowledge acquired through processes such as statistical learning, but it is unclear how different…

Cultivating African Academic Capital--Intersectional Narratives of an African Graduate and His PhD Study Supervisor

ERIC Educational Resources Information Center

Bitzer, Eli; Matimbo, Fulgence

2017-01-01

Three theoretical axes, namely "habitus," "transformational learning" and "doctorateness" informed two narrative doctoral accounts. One is from a Tanzanian public official who graduated from a research-intensive South African university--mostly away from work, family and country. The other is from his study supervisor…

Time Is Precious: Variable- and Event-Centred Approaches to Process Analysis in CSCL Research

ERIC Educational Resources Information Center

Reimann, Peter

2009-01-01

Although temporality is a key characteristic of the core concepts of CSCL--interaction, communication, learning, knowledge building, technology use--and although CSCL researchers have privileged access to process data, the theoretical constructs and methods employed in research practice frequently neglect to make full use of information relating…

Inventing Toys: Kids Having Fun Learning Science.

ERIC Educational Resources Information Center

Sobey, Ed

This book presents detailed teaching ideas on integrating inventing into grades 4-6 science classrooms. The contents of the book is divided into three sections. Part 1 provides theoretical and pedagogical background information to teachers on the structure of inventing and the structure of experience. Part 2 presents six detailed workshops: (1)…

Talking It through: Two French Immersion Learners' Response to Reformulation

ERIC Educational Resources Information Center

Swain, Merrill; Lapkin, Sharon

2002-01-01

This article documents the importance of collaborative dialogue as part of the process of second language learning. The stimulus for the dialogue we discuss in this article was a reformulation of a story written collaboratively in French by Nina and Dara, two adolescent French immersion students. A sociocultural theoretical perspective informs the…

The Role of Somatosensory Information in Speech Perception: Imitation Improves Recognition of Disordered Speech

ERIC Educational Resources Information Center

Borrie, Stephanie A.; Schäfer, Martina C. M.

2015-01-01

Purpose: Perceptual learning paradigms involving written feedback appear to be a viable clinical tool to reduce the intelligibility burden of dysarthria. The underlying theoretical assumption is that pairing the degraded acoustics with the intended lexical targets facilitates a remapping of existing mental representations in the lexicon. This…

Seeing and Be(liev)ing: How Nursing and Medical Students Understand Representations of Their Professions

ERIC Educational Resources Information Center

Jubas, Kaela; Knutson, Patricia

2012-01-01

This article discusses initial findings from a study exploring the pedagogical functions of popular culture. The study was framed by a neo-Gramscian theoretical framework which connects adult education and cultural studies, and asserts that culture underpins important informal adult learning. We used two television shows, "Grey's…

Some Interrelationships between Constructivist Models of Learning and Current Neurobiological Theory, with Implications for Science Education.

ERIC Educational Resources Information Center

Anderson, O. Roger

1992-01-01

This paper examines how some fundamental mechanisms of nervous system activity can explain human information processing and the acquisition of knowledge and provides additional theoretical support for constructivist applications to science education reform. The implications for scientific epistemology and conceptual change processes in science…

Reading Images in Graphic Novels: Taking Students to a "Greater Thinking Level"

ERIC Educational Resources Information Center

Pantaleo, Sylvia

2014-01-01

During a classroom-based study that explored the teaching and learning of visual elements of art and design, Grade 7 students had the opportunity to read four graphic novels. Theoretically, the research was informed by social semiotics, visual literacy, sociocultural theory, and Rosenblatt's transactional theory of reading. The instructional unit…

Data Mining in Earth System Science (DMESS 2011)

Treesearch

Forrest M. Hoffman; J. Walter Larson; Richard Tran Mills; Bhorn-Gustaf Brooks; Auroop R. Ganguly; William Hargrove; et al

2011-01-01

From field-scale measurements to global climate simulations and remote sensing, the growing body of very large and long time series Earth science data are increasingly difficult to analyze, visualize, and interpret. Data mining, information theoretic, and machine learning techniques—such as cluster analysis, singular value decomposition, block entropy, Fourier and...

Building a Competency-Based Curriculum Architecture to Educate 21st-Century Business Practitioners

ERIC Educational Resources Information Center

Chyung, Seung Youn; Stepich, Donald; Cox, David

2006-01-01

Competency-based instruction can be applied to a military setting, an academic program, or a corporate environment with a focus on producing performance-based learning outcomes. In this article, the authors provide theoretical and practical information about underlying characteristics of competencies and explain how the Department of Instructional…

Cognitive Styles and Sex Roles in Teaching-Learning Processes.

ERIC Educational Resources Information Center

Nelson, Karen H.

Cognitive style models describe individual differences in information-processing, or methods for deriving meaning from the world. Each style is theoretically value-free; each is valid and has strengths or weaknesses depending upon its context. However, this value freedom has been threatened in two ways. First, while cognitive style has been…

Cross-Cultural Communication: A Program Addressing the Effect of Migration on South African Education.

ERIC Educational Resources Information Center

Potgieter, Christo; Bredenkamp, Esther

2002-01-01

Presents general background information on migration in South Africa and its effect on education. Described a cross-cultural communication program that addresses creatively the outcomes of migration, including its theoretical model, an application, program operation for learners and educators, and challenges. Reviews lessons learned by migrant…

A Reshaping of Counselling Curriculum: Responding to the Changing (Bi)Cultural Context

ERIC Educational Resources Information Center

Flintoff, Vivianne J.; Rivers, Shirley

2012-01-01

This article describes some of the local Aotearoa New Zealand context of a general "mainstream" undergraduate counselling degree. Students' learning is shaped to produce a professional practice for the local context of Aotearoa New Zealand. As counsellor educators informed by social constructionism, we detail our theoretical position and…

Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.

PubMed

Xu, Xinxing; Li, Wen; Xu, Dong

2015-12-01

In this paper, we propose a new approach to improve face verification and person re-identification in the RGB images by leveraging a set of RGB-D data, in which we have additional depth images in the training data captured using depth cameras such as Kinect. In particular, we extract visual features and depth features from the RGB images and depth images, respectively. As the depth features are available only in the training data, we treat the depth features as privileged information, and we formulate this task as a distance metric learning with privileged information problem. Unlike the traditional face verification and person re-identification tasks that only use visual features, we further employ the extra depth features in the training data to improve the learning of distance metric in the training process. Based on the information-theoretic metric learning (ITML) method, we propose a new formulation called ITML with privileged information (ITML+) for this task. We also present an efficient algorithm based on the cyclic projection method for solving the proposed ITML+ formulation. Extensive experiments on the challenging faces data sets EUROCOM and CurtinFaces for face verification as well as the BIWI RGBD-ID data set for person re-identification demonstrate the effectiveness of our proposed approach.

An e-Learning Theoretical Framework

ERIC Educational Resources Information Center

Aparicio, Manuela; Bacao, Fernando; Oliveira, Tiago

2016-01-01

E-learning systems have witnessed a usage and research increase in the past decade. This article presents the e-learning concepts ecosystem. It summarizes the various scopes on e-learning studies. Here we propose an e-learning theoretical framework. This theory framework is based upon three principal dimensions: users, technology, and services…

DeepStack: Expert-level artificial intelligence in heads-up no-limit poker.

PubMed

Moravčík, Matej; Schmid, Martin; Burch, Neil; Lisý, Viliam; Morrill, Dustin; Bard, Nolan; Davis, Trevor; Waugh, Kevin; Johanson, Michael; Bowling, Michael

2017-05-05

Artificial intelligence has seen several breakthroughs in recent years, with games often serving as milestones. A common feature of these games is that players have perfect information. Poker, the quintessential game of imperfect information, is a long-standing challenge problem in artificial intelligence. We introduce DeepStack, an algorithm for imperfect-information settings. It combines recursive reasoning to handle information asymmetry, decomposition to focus computation on the relevant decision, and a form of intuition that is automatically learned from self-play using deep learning. In a study involving 44,000 hands of poker, DeepStack defeated, with statistical significance, professional poker players in heads-up no-limit Texas hold'em. The approach is theoretically sound and is shown to produce strategies that are more difficult to exploit than prior approaches. Copyright © 2017, American Association for the Advancement of Science.

Theorising Teaching and Learning: Pre-Service Teachers' Theoretical Awareness of Learning

ERIC Educational Resources Information Center

Brante, Göran; Holmqvist Olander, Mona; Holmquist, Per-Ola; Palla, Marta

2015-01-01

We examine pre-service teachers' theoretical learning during one five-week training module, and their educators' learning about better lecture design to foster student learning. The study is iterative: interventions (one per group) were implemented sequentially in student groups A-C, the results of the previous intervention serving as the baseline…

Teaching of anatomical sciences: A blended learning approach.

PubMed

Khalil, Mohammed K; Abdel Meguid, Eiman M; Elkhider, Ihsan A

2018-04-01

Blended learning is the integration of different learning approaches, new technologies, and activities that combine traditional face-to-face teaching methods with authentic online methodologies. Although advances in educational technology have helped to expand the selection of different pedagogies, the teaching of anatomical sciences has been challenged by implementation difficulties and other limitations. These challenges are reported to include lack of time, costs, and lack of qualified teachers. Easy access to online information and advances in technology make it possible to resolve these limitations by adopting blended learning approaches. Blended learning strategies have been shown to improve students' academic performance, motivation, attitude, and satisfaction, and to provide convenient and flexible learning. Implementation of blended learning strategies has also proved cost effective. This article provides a theoretical foundation for blended learning and proposes a validated framework for the design of blended learning activities in the teaching and learning of anatomical sciences. Clin. Anat. 31:323-329, 2018. © 2018 Wiley Periodicals, Inc. © 2018 Wiley Periodicals, Inc.

Looking and listening for learning in arts- and humanities-based creations.

PubMed

Varpio, Lara; Grassau, Pamela; Hall, Pippa

2017-02-01

The arts and humanities are gradually gaining a foothold in health professions education as a means of supporting the development of future clinicians who are compassionate, critical and reflexive thinkers, while also strengthening clinical skills and practices that emphasise patient-centredness, collaboration and interprofessional practices. Assignments that tap into trainee creativity are increasingly used both to prepare learners for the demands of clinical work and to understand the personal and professional challenges learners face in these contexts. Health professions educators need methods for interpreting these creations in order to understand each learner's expressions. This paper describes two theoretical frameworks that can be used to understand trainees' unique learning experiences as they are expressed in arts- and humanities-based creations. The authors introduce the philosophical underpinnings and interpretation procedures of two theoretical frameworks that enable educators to 'hear' and 'see' the multilayered expressions embedded within arts- and humanities-based student creations: Gilligan's Listening Guide and Kress and van Leeuwen's approach to visual rhetoric. To illustrate how these frameworks can be used, the authors apply them to two creative summaries that learners made as part of a humanities-informed, interprofessional education intervention that took place in a non-acute-care teaching hospital. The interpretations of two creative summaries, a poem and a pair of paintings, highlight how applying these theoretical frameworks can offer important insights into learners' experiences. This cross-cutting edge paper describes how the Listening Guide and visual rhetoric can help health professions educators listen to and read the arts- and humanities-based creative expressions made by learners. Insights gained from these interpretations can advance the understanding of students' personal experiences in different learning environments and can inform curriculum development. © 2016 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Theoretical foundations of learning through simulation.

PubMed

Zigmont, Jason J; Kappus, Liana J; Sudikoff, Stephanie N

2011-04-01

Health care simulation is a powerful educational tool to help facilitate learning for clinicians and change their practice to improve patient outcomes and safety. To promote effective life-long learning through simulation, the educator needs to consider individuals, their experiences, and their environments. Effective education of adults through simulation requires a sound understanding of both adult learning theory and experiential learning. This review article provides a framework for developing and facilitating simulation courses, founded upon empiric and theoretic research in adult and experiential learning. Specifically, this article provides a theoretic foundation for using simulation to change practice to improve patient outcomes and safety. Copyright © 2011 Elsevier Inc. All rights reserved.

Theories of Artificial Grammar Learning

ERIC Educational Resources Information Center

Pothos, Emmanuel M.

2007-01-01

Artificial grammar learning (AGL) is one of the most commonly used paradigms for the study of implicit learning and the contrast between rules, similarity, and associative learning. Despite five decades of extensive research, however, a satisfactory theoretical consensus has not been forthcoming. Theoretical accounts of AGL are reviewed, together…

Manipulating affective state influences conditioned appetitive responses.

PubMed

Arnaudova, Inna; Krypotos, Angelos-Miltiadis; Effting, Marieke; Kindt, Merel; Beckers, Tom

2017-10-06

Affective states influence how individuals process information and behave. Some theories predict emotional congruency effects (e.g. preferential processing of negative information in negative affective states). Emotional congruency should theoretically obstruct the learning of reward associations (appetitive learning) and their ability to guide behaviour under negative mood. Two studies tested the effects of the induction of a negative affective state on appetitive Pavlovian learning, in which neutral stimuli were associated with chocolate (Experiment 1) or alcohol (Experiment 2) rewards. In both experiments, participants showed enhanced approach tendencies towards predictors of reward after a negative relative to a positive performance feedback manipulation. This increase was related to a reduction in positive affect in Experiment 1 only. No effects of the manipulation on conditioned reward expectancies, craving, or consumption were observed. Overall, our findings support the idea of counter-regulation, rather than emotional congruency effects. Negative affective states might therefore serve as a vulnerability factor for addiction, through increasing conditioned approach tendencies.

Reconceptualising "Identity Slippage": Additional Language Learning and (L2) Identity Development

ERIC Educational Resources Information Center

Armour, William

2009-01-01

This paper reconsiders the theoretical concept of "identity slippage" by considering a detailed exegesis of three model conversations taught to learners of Japanese as an additional language. To inform my analysis of these conversations and how they contribute to identity slippage, I have used the work of the systemic-functional linguist Jay Lemke…

Measuring Prevalence of Other-Oriented Transactive Contributions Using an Automated Measure of Speech Style Accommodation

ERIC Educational Resources Information Center

Gweon, Gahgene; Jain, Mahaveer; McDonough, John; Raj, Bhiksha; Rose, Carolyn P.

2013-01-01

This paper contributes to a theory-grounded methodological foundation for automatic collaborative learning process analysis. It does this by illustrating how insights from the social psychology and sociolinguistics of speech style provide a theoretical framework to inform the design of a computational model. The purpose of that model is to detect…

Preparing Novice Teacher Educators in the Pedagogy of Teacher Education

ERIC Educational Resources Information Center

Conklin, Hilary G.

2015-01-01

In this article, the author provides a conceptual framework to guide the design of coursework to prepare teacher educators. Given the absence of a stronger research base to inform the preparation of novice teacher educators, the author argues that theoretical perspectives focused on K-12 preservice teacher learning can be a useful heuristic for…

Enhancing Social Competence for Disadvantaged Youth in Pre-Vocational Education: Model Development through Design-Based Research

ERIC Educational Resources Information Center

Kuhn, Ida Kristina

2017-01-01

This study investigates the enhancement of social competence for disadvantaged young people based on the example of the "Werkschule Bremen" educational course. Theoretical approaches to social competence as a learning outcome are mainly based on the model of social information processing, although the meaning of both practical and…

Teaching the Dance Class: Strategies to Enhance Skill Acquisition, Mastery and Positive Self-Image

ERIC Educational Resources Information Center

Mainwaring, Lynda M.; Krasnow, Donna H.

2010-01-01

Effective teaching of dance skills is informed by a variety of theoretical frameworks and individual teaching and learning styles. The purpose of this paper is to present practical teaching strategies that enhance the mastery of skills and promote self-esteem, self-efficacy, and positive self-image. The predominant thinking and primary research…

Learning on the Job: A Cultural Historical Activity Theory Approach to Initial Teacher Education across Four Secondary School Subject Departments

ERIC Educational Resources Information Center

Douglas, Alaster Scott

2011-01-01

This article considers how one may integrate ethnographic data generation with research questions and an analytic framework that are strongly theoretically informed by Cultural Historical Activity Theory (CHAT). Generating data through participant observation of school-based, student teacher education activity and interviewing all those involved…

Can Mismatch Negativity Be Linked to Synaptic Processes? A Glutamatergic Approach to Deviance Detection

ERIC Educational Resources Information Center

Strelnikov, Kuzma

2007-01-01

This article aims to provide a theoretical framework to elucidate the neurophysiological underpinnings of deviance detection as reflected by mismatch negativity. A six-step model of the information processing necessary for deviance detection is proposed. In this model, predictive coding of learned regularities is realized by means of long-term…

Curiosity, Interest and Engagement in Technology-Pervasive Learning Environments: A New Research Agenda

ERIC Educational Resources Information Center

Arnone, Marilyn P.; Small, Ruth V.; Chauncey, Sarah A.; McKenna, H. Patricia

2011-01-01

This paper identifies the need for developing new ways to study curiosity in the context of today's pervasive technologies and unprecedented information access. Curiosity is defined in this paper in a way which incorporates the concomitant constructs of interest and engagement. A theoretical model for curiosity, interest and engagement in new…

Using Movement to Teach Academics: The Mind and Body as One Entity

ERIC Educational Resources Information Center

Minton, Sandra

2008-01-01

This book is developed to help teach curriculum through the use of movement and dance, while giving students a chance to use their creative problem-solving skills. The text describes a step-by-step process through which instructor and students can learn to transform academic concepts into actions and dances. Theoretical information is also…

Teachers' Attitudes and Levels of Technology Use in Classrooms: The Case of Jordan Schools

ERIC Educational Resources Information Center

Al-Zaidiyeen, Naser Jamil; Mei, Leong Lai; Fook, Fong Soon

2010-01-01

Throughout the world there is awareness of the fundamental role of new Information and Communication Technologies (ICTs) in the field of education. Theoretical and empirical studies have considered the importance of ICTs in the process of teaching and learning. This current paper investigates the level of ICT use for educational purposes by…

A Phenomelogical Study of Reclassified Elementary School English Learners' Perceptions of Their Educational Experiences

ERIC Educational Resources Information Center

Betanzos, Fernando

2016-01-01

The purpose of this study was to provide an insight into how former English learners' educational experiences allowed them to attain English language proficiency and meet grade level standards in English Language Arts. This study was informed by the theoretical frameworks of Albert Bandura's social learning theory, and Lev Vygotsky's sociocultural…

Primary School Students' Conceptions about Microorganisms. Influence of Theoretical and Practical Methodologies on Learning

ERIC Educational Resources Information Center

Ruiz-Gallardo, José-Reyes; Paños, Esther

2018-01-01

Background: Microorganisms are very important in day-to-day life, but they are inadequately addressed in the Spanish educational system. It is essential that students are well informed about their characteristics and functions. Purpose: The study aims to find out primary school students' perceptions of microorganisms and to analyze whether…

Cognitive and learning sciences in biomedical and health instructional design: A review with lessons for biomedical informatics education.

PubMed

Patel, Vimla L; Yoskowitz, Nicole A; Arocha, Jose F; Shortliffe, Edward H

2009-02-01

Theoretical and methodological advances in the cognitive and learning sciences can greatly inform curriculum and instruction in biomedicine and also educational programs in biomedical informatics. It does so by addressing issues such as the processes related to comprehension of medical information, clinical problem-solving and decision-making, and the role of technology. This paper reviews these theories and methods from the cognitive and learning sciences and their role in addressing current and future needs in designing curricula, largely using illustrative examples drawn from medical education. The lessons of this past work are also applicable, however, to biomedical and health professional curricula in general, and to biomedical informatics training, in particular. We summarize empirical studies conducted over two decades on the role of memory, knowledge organization and reasoning as well as studies of problem-solving and decision-making in medical areas that inform curricular design. The results of this research contribute to the design of more informed curricula based on empirical findings about how people learn and think, and more specifically, how expertise is developed. Similarly, the study of practice can also help to shape theories of human performance, technology-based learning, and scientific and professional collaboration that extend beyond the domain of medicine. Just as biomedical science has revolutionized health care practice, research in the cognitive and learning sciences provides a scientific foundation for education in biomedicine, the health professions, and biomedical informatics.

The educational effects of mobile learning on students of medical sciences: A systematic review in experimental studies

PubMed Central

KOOHESTANI, HAMID REZA; SOLTANI ARABSHAHI, SEYED KAMRAN; FATA, LADAN; AHMADI, FAZLOLLAH

2018-01-01

Introduction: The demand for mobile learning in the medical science educational program is increasing. The present review study gathers evidence highlighted by the experimental studies on the educational effects of mobile learning for medical science students. Methods: The study was carried out as a systematic literature search published from 2007 to July 2017 in the databases PubMed/Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Knowledge (Thomson Reuters) , Educational Resources and Information Center (ERIC), EMBASE (Elsevier), Cochrane library, PsycINFO and Google Scholar. To examine quality of the articles, a tool validated by the BEME Review was employed. Results: Totally, 21 papers entered the study. Three main themes emerged from the content of papers: (1) improvement in student clinical competency and confidence, (2) acquisition and enhancing of students' theoretical knowledge, and (3) students' positive attitudes to and perception of mobile learning. Level 2B of Kirkpatrick hierarchy had been examined by all the papers and seven of them had reported two or more outcome levels, but level 4 was not reported in the papers. Conclusion: Our review showed that the students of medical sciences had positive response and attitudes to mobile learning. Moreover, implementation of mobile learning in medical sciences program might lead to valuable educational benefits and improve clinical competence and confidence along with theoretical knowledge, attitudes, and perception of mobile learning. The results indicated that mobile learning strategy in medical education can positively affect learning in all three domains of Bloom’s Taxonomy. PMID:29607333

Non-formal learning and tacit knowledge in professional work.

PubMed

Eraut, M

2000-03-01

This paper explores the conceptual and methodological problems arising from several empirical investigations of professional education and learning in the workplace. 1. To clarify the multiple meanings accorded to terms such as 'non-formal learning', 'implicit learning' and 'tacit knowledge', their theoretical assumptions and the range of phenomena to which they refer. 2. To discuss their implications for professional practice. A largely theoretical analysis of issues and phenomena arising from empirical investigations. The author's typology of non-formal learning distinguishes between implicit learning, reactive on-the-spot learning and deliberative learning. The significance of the last is commonly overemphasized. The problematic nature of tacit knowledge is discussed with respect to both detecting it and representing it. Three types of tacit knowledge are discussed: tacit understanding of people and situations, routinized actions and the tacit rules that underpin intuitive decision-making. They come together when professional performance involves sequences of routinized action punctuated by rapid intuitive decisions based on tacit understanding of the situation. Four types of process are involved--reading the situation, making decisions, overt activity and metacognition--and three modes of cognition--intuitive, analytic and deliberative. The balance between these modes depends on time, experience and complexity. Where rapid action dominates, periods of deliberation are needed to maintain critical control. Finally the role of both formal and informal social knowledge is discussed; and it is argued that situated learning often leads not to local conformity but to greater individual variation as people's careers take them through a series of different contexts. This abstract necessarily simplifies a more complex analysis in the paper itself.

Interprofessional learning, impression management, and spontaneity in the acute healthcare setting.

PubMed

Bell, Elaine; McAllister, Sue; Ward, Paul R; Russell, Alison

2016-09-01

Spontaneous learning is integral to definitions of interprofessional learning (IPL) because it has been suggested that spontaneous learning can be deeply connected with the work that people do in collaboration with colleagues via their professional networks. However, its nature and the processes involved are not well understood. Goffman's theory of impression management offers a useful theoretical framework to consider the way in which interaction in the workplace connects to spontaneous learning. This article explores the current literature to investigate the usefulness of this framework to better understand and identify spontaneous learning in the workplace. Aspects such as the connections between spontaneous learning occurring in formal and informal work activities, the spaces in which it occurs, and the influence of professional networking are considered. It is proposed that research directed to developing a better understanding of the nature of spontaneous learning in IPL will assist in connecting this learning to formal IPL curricula, enhancing IPL and patient outcomes.

Theoretical Principles to Guide the Teaching of Adjectives to Children Who Struggle With Word Learning: Synthesis of Experimental and Naturalistic Research With Principles of Learning Theory.

PubMed

Ricks, Samantha L; Alt, Mary

2016-07-01

The purpose of this tutorial is to provide clinicians with a theoretically motivated and evidence-based approach to teaching adjectives to children who struggle with word learning. Given that there are almost no treatment studies to guide this topic, we have synthesized findings from experimental and theoretical literature to come up with a principles-based approach to treatment. We provide a sample lesson plan, incorporating our 3 theoretical principles, and describe the materials chosen and methods used during treatment and assessment. This approach is theoretically motivated, but it needs to be empirically tested.

Teaching Computer Languages and Elementary Theory for Mixed Audiences at University Level

NASA Astrophysics Data System (ADS)

Christiansen, Henning

2004-09-01

Theoretical issues of computer science are traditionally taught in a way that presupposes a solid mathematical background and are usually considered more or less inaccessible for students without this. An effective methodology is described which has been developed for a target group of university students with different backgrounds such as natural science or humanities. It has been developed for a course that integrates theoretical material on computer languages and abstract machines with practical programming techniques. Prolog used as meta-language for describing language issues is the central instrument in the approach: Formal descriptions become running prototypes that are easy and appealing to test and modify, and can be extended into analyzers, interpreters, and tools such as tracers and debuggers. Experience shows a high learning curve, especially when the principles are extended into a learning-by-doing approach having the students to develop such descriptions themselves from an informal introduction.

Classification versus inference learning contrasted with real-world categories.

PubMed

Jones, Erin L; Ross, Brian H

2011-07-01

Categories are learned and used in a variety of ways, but the research focus has been on classification learning. Recent work contrasting classification with inference learning of categories found important later differences in category performance. However, theoretical accounts differ on whether this is due to an inherent difference between the tasks or to the implementation decisions. The inherent-difference explanation argues that inference learners focus on the internal structure of the categories--what each category is like--while classification learners focus on diagnostic information to predict category membership. In two experiments, using real-world categories and controlling for earlier methodological differences, inference learners learned more about what each category was like than did classification learners, as evidenced by higher performance on a novel classification test. These results suggest that there is an inherent difference between learning new categories by classifying an item versus inferring a feature.

Innovation in collaborative health research training: the role of active learning.

PubMed

Poole, Gary; Egan, John P; Iqbal, Isabeau

2009-03-01

This paper describes and discusses the essential pedagogical elements of the Partnering in Community Health Research (PCHR) program, which was designed to address the training needs of researchers who participate in collaborative, interdisciplinary health research. These elements were intended to foster specific skills that helped learners develop research partnerships featuring knowledge, capabilities, values and attitudes needed for successful research projects. By establishing research teams called "clusters", PCHR provided research training and experience for graduate students and post-doctoral fellows, as well as for community health workers and professionals. Pedagogical elements relied on active learning approaches such as inquiry-based and experience-based learning. Links between these elements and learning approaches are explained. Through their work in cluster-based applied research projects, the development of learning plans, and cross-cluster learning events, trainees acquired collaborative research competencies that were valuable, relevant and theoretically informed.

The practical epistemologies of the classroom: A study of laboratory work

NASA Astrophysics Data System (ADS)

Wickman, Per-Olof

2004-05-01

The practical epistemologies of university students during laboratory work in chemistry are analyzed to enhance understanding of how teaching practices interact with learners. The purpose is to develop a theoretical framework of learning as action that can be used by educational researchers to examine meaning-making, but also by teachers in close association with their daily work to understand the course learning takes in their own classrooms. Here this framework is adopted to demonstrate how the sequence of learning may affect the subject content learnt. It is also demonstrated how learning can be understood in terms of habits, and how observations of such habits could be used by a teacher to inform her/his teaching. The theory of practical epistemologies is based on the later Wittgenstein, pragmatics, and sociocultural approaches identifying learning with talk, action, and habits situated in practices.

Situated Learning in Youth Elite Football: A Danish Case Study among Talented Male under-18 Football Players

ERIC Educational Resources Information Center

Christensen, Mette Krogh; Laursen, Dan Norgaard; Sorensen, Jan Kahr

2011-01-01

Background: The application of a social theory of learning and the notion of situated learning as a theoretical basis for understanding students' learning in PE is broadly recognised. Nevertheless, it is far more unusual for this theoretical approach to provide a basis for understanding learning processes in talent development in elite sport.…

Learning as Renewal: Contribution to the Present Theoretical Background of the Lifelong Learning Policy of the European Union

ERIC Educational Resources Information Center

Szakos, Eva Feketene

2014-01-01

There are a number of EU documents on the term and way of implementation of lifelong learning. However, the characteristics of learning from adult education perspectives are not sufficiently emphasized and are undertheorized in them. Numerous new, theoretical works have been published on adult learning in the related adult education literature…

Theoretical Implementations of Various Mobile Applications Used in English Language Learning

ERIC Educational Resources Information Center

Small, Melissa

2014-01-01

This review of the theoretical framework for Mastery Learning Theory and Sense of Community theories is provided in conjunction with a review of the literature for mobile technology in relation to language learning. Although empirical research is minimal for mobile phone technology as an aid for language learning, the empirical research that…

Randomized Prediction Games for Adversarial Machine Learning.

PubMed

Rota Bulo, Samuel; Biggio, Battista; Pillai, Ignazio; Pelillo, Marcello; Roli, Fabio

In spam and malware detection, attackers exploit randomization to obfuscate malicious data and increase their chances of evading detection at test time, e.g., malware code is typically obfuscated using random strings or byte sequences to hide known exploits. Interestingly, randomization has also been proposed to improve security of learning algorithms against evasion attacks, as it results in hiding information about the classifier to the attacker. Recent work has proposed game-theoretical formulations to learn secure classifiers, by simulating different evasion attacks and modifying the classification function accordingly. However, both the classification function and the simulated data manipulations have been modeled in a deterministic manner, without accounting for any form of randomization. In this paper, we overcome this limitation by proposing a randomized prediction game, namely, a noncooperative game-theoretic formulation in which the classifier and the attacker make randomized strategy selections according to some probability distribution defined over the respective strategy set. We show that our approach allows one to improve the tradeoff between attack detection and false alarms with respect to the state-of-the-art secure classifiers, even against attacks that are different from those hypothesized during design, on application examples including handwritten digit recognition, spam, and malware detection.In spam and malware detection, attackers exploit randomization to obfuscate malicious data and increase their chances of evading detection at test time, e.g., malware code is typically obfuscated using random strings or byte sequences to hide known exploits. Interestingly, randomization has also been proposed to improve security of learning algorithms against evasion attacks, as it results in hiding information about the classifier to the attacker. Recent work has proposed game-theoretical formulations to learn secure classifiers, by simulating different evasion attacks and modifying the classification function accordingly. However, both the classification function and the simulated data manipulations have been modeled in a deterministic manner, without accounting for any form of randomization. In this paper, we overcome this limitation by proposing a randomized prediction game, namely, a noncooperative game-theoretic formulation in which the classifier and the attacker make randomized strategy selections according to some probability distribution defined over the respective strategy set. We show that our approach allows one to improve the tradeoff between attack detection and false alarms with respect to the state-of-the-art secure classifiers, even against attacks that are different from those hypothesized during design, on application examples including handwritten digit recognition, spam, and malware detection.

Context-Aware Generative Adversarial Privacy

NASA Astrophysics Data System (ADS)

Huang, Chong; Kairouz, Peter; Chen, Xiao; Sankar, Lalitha; Rajagopal, Ram

2017-12-01

Preserving the utility of published datasets while simultaneously providing provable privacy guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such as differential privacy, provide strong privacy guarantees, but often lead to a significant reduction in utility. On the other hand, context-aware privacy solutions, such as information theoretic privacy, achieve an improved privacy-utility tradeoff, but assume that the data holder has access to dataset statistics. We circumvent these limitations by introducing a novel context-aware privacy framework called generative adversarial privacy (GAP). GAP leverages recent advancements in generative adversarial networks (GANs) to allow the data holder to learn privatization schemes from the dataset itself. Under GAP, learning the privacy mechanism is formulated as a constrained minimax game between two players: a privatizer that sanitizes the dataset in a way that limits the risk of inference attacks on the individuals' private variables, and an adversary that tries to infer the private variables from the sanitized dataset. To evaluate GAP's performance, we investigate two simple (yet canonical) statistical dataset models: (a) the binary data model, and (b) the binary Gaussian mixture model. For both models, we derive game-theoretically optimal minimax privacy mechanisms, and show that the privacy mechanisms learned from data (in a generative adversarial fashion) match the theoretically optimal ones. This demonstrates that our framework can be easily applied in practice, even in the absence of dataset statistics.

Text + Book = Textbook? Development of a Conceptual Framework for Non-Textual Elements in Middle School Mathematics Textbooks

ERIC Educational Resources Information Center

Kim, Rae Young

2009-01-01

This study is an initial analytic attempt to iteratively develop a conceptual framework informed by both theoretical and practical perspectives that may be used to analyze non-textual elements in mathematics textbooks. Despite the importance of visual representations in teaching and learning, little effort has been made to specify in any…

A Place for Video Games: A Theoretical and Pedagogical Framework for Multiliteracies Learning in English Studies

ERIC Educational Resources Information Center

Jordan, Ethan T.

2011-01-01

Students are now involved in a vastly different textual landscape than many English scholars, one that relies on the "reading" and interpretation of multiple channels of simultaneous information. As a response to these new kinds of literate practices, my dissertation adds to the growing body of research on multimodal literacies, narratology in new…

Learning to Appreciate At-Risk Students: Challenging the Beliefs and Attitudes of Teachers and Administrators

ERIC Educational Resources Information Center

Calabrese, Raymond L.; Hummel, Crystal; San Martin, Teresa

2007-01-01

Purpose: The purpose of this paper is to examine the issue of at-risk students in a rural district in Midwestern USA. Design/methodology/approach: This field-based research study used a qualitative embedded case study of a middle and high school informed by an appreciative inquiry theoretical research perspective to identify a positive core of…

A Re-Evaluation of Mobile Communication Technology: A Theoretical Approach for Technology Evaluation in Contemporary Digital Learning

ERIC Educational Resources Information Center

Yumurtaci, Onur

2017-01-01

We live in an age of continual technological development. Rapidly developing technologies have found use in nearly all aspects of life. As such, it is understandable that technology has also infiltrated the field of education. Information and Communication Technology (ICT) has provided us with the technical underpinnings for distance and lifelong…

Language and Discourse Analysis with Coh-Metrix: Applications from Educational Material to Learning Environments at Scale

ERIC Educational Resources Information Center

Dowell, Nia M. M.; Graesser, Arthur\tC.; Cai, Zhiqiang

2016-01-01

The goal of this article is to preserve and distribute the information presented at the LASI (2014) workshop on Coh-Metrix, a theoretically grounded, computational linguistics facility that analyzes texts on multiple levels of language and discourse. The workshop focused on the utility of Coh-Metrix in discourse theory and educational practice. We…

Theoretical Foundations of Learning Environments. Second Edition

ERIC Educational Resources Information Center

Jonassen, David, Ed.; Land, Susan, Ed.

2012-01-01

"Theoretical Foundations of Learning Environments" provides students, faculty, and instructional designers with a clear, concise introduction to the major pedagogical and psychological theories and their implications for the design of new learning environments for schools, universities, or corporations. Leading experts describe the most…

Decision dynamics of departure times: Experiments and modeling

NASA Astrophysics Data System (ADS)

Sun, Xiaoyan; Han, Xiao; Bao, Jian-Zhang; Jiang, Rui; Jia, Bin; Yan, Xiaoyong; Zhang, Boyu; Wang, Wen-Xu; Gao, Zi-You

2017-10-01

A fundamental problem in traffic science is to understand user-choice behaviors that account for the emergence of complex traffic phenomena. Despite much effort devoted to theoretically exploring departure time choice behaviors, relatively large-scale and systematic experimental tests of theoretical predictions are still lacking. In this paper, we aim to offer a more comprehensive understanding of departure time choice behaviors in terms of a series of laboratory experiments under different traffic conditions and feedback information provided to commuters. In the experiment, the number of recruited players is much larger than the number of choices to better mimic the real scenario, in which a large number of commuters will depart simultaneously in a relatively small time window. Sufficient numbers of rounds are conducted to ensure the convergence of collective behavior. Experimental results demonstrate that collective behavior is close to the user equilibrium, regardless of different scales and traffic conditions. Moreover, the amount of feedback information has a negligible influence on collective behavior but has a relatively stronger effect on individual choice behaviors. Reinforcement learning and Fermi learning models are built to reproduce the experimental results and uncover the underlying mechanism. Simulation results are in good agreement with the experimentally observed collective behaviors.

Information Theoretic Extraction of EEG Features for Monitoring Subject Attention

NASA Technical Reports Server (NTRS)

Principe, Jose C.

2000-01-01

The goal of this project was to test the applicability of information theoretic learning (feasibility study) to develop new brain computer interfaces (BCI). The difficulty to BCI comes from several aspects: (1) the effective data collection of signals related to cognition; (2) the preprocessing of these signals to extract the relevant information; (3) the pattern recognition methodology to detect reliably the signals related to cognitive states. We only addressed the two last aspects in this research. We started by evaluating an information theoretic measure of distance (Bhattacharyya distance) for BCI performance with good predictive results. We also compared several features to detect the presence of event related desynchronization (ERD) and synchronization (ERS), and concluded that at least for now the bandpass filtering is the best compromise between simplicity and performance. Finally, we implemented several classifiers for temporal - pattern recognition. We found out that the performance of temporal classifiers is superior to static classifiers but not by much. We conclude by stating that the future of BCI should be found in alternate approaches to sense, collect and process the signals created by populations of neurons. Towards this goal, cross-disciplinary teams of neuroscientists and engineers should be funded to approach BCIs from a much more principled view point.

Effects of the Physical Environment on Cognitive Load and Learning: Towards a New Model of Cognitive Load

ERIC Educational Resources Information Center

Choi, Hwan-Hee; van Merriënboer, Jeroen J. G.; Paas, Fred

2014-01-01

Although the theoretical framework of cognitive load theory has acknowledged a role for the learning environment, the specific characteristics of the physical learning environment that could affect cognitive load have never been considered, neither theoretically nor empirically. In this article, we argue that the physical learning environment, and…

Neighborhood Discriminant Hashing for Large-Scale Image Retrieval.

PubMed

Tang, Jinhui; Li, Zechao; Wang, Meng; Zhao, Ruizhen

2015-09-01

With the proliferation of large-scale community-contributed images, hashing-based approximate nearest neighbor search in huge databases has aroused considerable interest from the fields of computer vision and multimedia in recent years because of its computational and memory efficiency. In this paper, we propose a novel hashing method named neighborhood discriminant hashing (NDH) (for short) to implement approximate similarity search. Different from the previous work, we propose to learn a discriminant hashing function by exploiting local discriminative information, i.e., the labels of a sample can be inherited from the neighbor samples it selects. The hashing function is expected to be orthogonal to avoid redundancy in the learned hashing bits as much as possible, while an information theoretic regularization is jointly exploited using maximum entropy principle. As a consequence, the learned hashing function is compact and nonredundant among bits, while each bit is highly informative. Extensive experiments are carried out on four publicly available data sets and the comparison results demonstrate the outperforming performance of the proposed NDH method over state-of-the-art hashing techniques.

Beyond Learning by Doing: Theoretical Currents in Experiential Education

ERIC Educational Resources Information Center

Roberts, Jay W.

2011-01-01

What is experiential education? What are its theoretical roots? Where does this approach come from? Offering a fresh and distinctive take, this book is about going beyond "learning by doing" through an exploration of its underlying theoretical currents. As an increasingly popular pedagogical approach, experiential education encompasses a variety…

Surprised at All the Entropy: Hippocampal, Caudate and Midbrain Contributions to Learning from Prediction Errors

PubMed Central

Schiffer, Anne-Marike; Ahlheim, Christiane; Wurm, Moritz F.; Schubotz, Ricarda I.

2012-01-01

Influential concepts in neuroscientific research cast the brain a predictive machine that revises its predictions when they are violated by sensory input. This relates to the predictive coding account of perception, but also to learning. Learning from prediction errors has been suggested for take place in the hippocampal memory system as well as in the basal ganglia. The present fMRI study used an action-observation paradigm to investigate the contributions of the hippocampus, caudate nucleus and midbrain dopaminergic system to different types of learning: learning in the absence of prediction errors, learning from prediction errors, and responding to the accumulation of prediction errors in unpredictable stimulus configurations. We conducted analyses of the regions of interests' BOLD response towards these different types of learning, implementing a bootstrapping procedure to correct for false positives. We found both, caudate nucleus and the hippocampus to be activated by perceptual prediction errors. The hippocampal responses seemed to relate to the associative mismatch between a stored representation and current sensory input. Moreover, its response was significantly influenced by the average information, or Shannon entropy of the stimulus material. In accordance with earlier results, the habenula was activated by perceptual prediction errors. Lastly, we found that the substantia nigra was activated by the novelty of sensory input. In sum, we established that the midbrain dopaminergic system, the hippocampus, and the caudate nucleus were to different degrees significantly involved in the three different types of learning: acquisition of new information, learning from prediction errors and responding to unpredictable stimulus developments. We relate learning from perceptual prediction errors to the concept of predictive coding and related information theoretic accounts. PMID:22570715

Lecturers and students as stakeholders for education commissioning for learning disability nursing: focus group findings from a multiple method study.

PubMed

Gates, Bob; Statham, Mark

2013-10-01

In England, the numbers of learning disability nurses are declining; a need for urgent attention to workforce planning issues has been advocated. This paper considers views of lecturers, students and potential students as legitimate stakeholders for future education commissioning for this field of nursing. This project aimed to undertake a strategic review of learning disability nursing educational commissioning, to provide an 'evidence based' evaluation to inform future strategic commissioning of learning disability nursing for one Health Authority, UK. The project adopted a structured multiple methods approach to generate evidence from a number of data sources, this paper reports on the findings from one method [focus groups] used for two groups of stakeholders. Informants comprised 10 learning disability nursing students studying at a Higher Education Institution, 25 health and social care students studying at a Further Education College, and 6 academic staff from 5 universities; all informants were from the south of England. The method reported on in this paper is focus group methodology. Once completed, transcripts made were read in full, and subjected to content analysis. The process of content analysis led to the development of 11 theoretical categories that describe the multiplicity of views of informants, as to issues of importance for this element of the health workforce. The paper concludes by identifying key messages from these informants. It is suggested that both method and findings have national and international resonance, as stakeholder engagement is a universal issue in health care education commissioning. Copyright © 2013 Elsevier Ltd. All rights reserved.

University students' learning approaches in three cultures: an investigation of Biggs's 3P model.

PubMed

Zhang, L F

2000-01-01

The relationship of various learning approaches to students' academic achievement, abilities, and other characteristics was examined in a sample of university students in Hong Kong, mainland China, and the United States. The theoretical framework for this project was J. B. Biggs's (1987) theory of student learning approaches. The participants completed the Study Process Questionnaire (based on Biggs's theory) and provided a variety of demographic information. The participants' achievement scores and self-rated scores on analytical, creative, and practical abilities were also obtained. Results indicated that scores on certain subscales of the Study Process Questionnaire statistically predicted participants' achievement beyond their self-rated abilities. In addition, certain learning approaches were significantly related to the participants' ages, gender, parents' education levels, and their travel and work experiences. Implications of these findings are discussed as they relate to teaching and learning.

The Cost of Learning: Interference Effects in Memory Development

PubMed Central

Darby, Kevin P.; Sloutsky, Vladimir M.

2015-01-01

Learning often affects future learning and memory for previously learned information by exerting either facilitation or interference effects. Several theoretical accounts of interference effects have been proposed, each making different developmental predictions. This research examines interference effects across development, with the goal of better understanding mechanisms of interference and of memory development. Preschool-aged children and adults participated in a three-phased associative learning paradigm containing stimuli that were either unique or repeated across phases. Both age groups demonstrated interference effects, but only for repeated items. Whereas proactive interference effects were comparable across age groups, retroactive interference reached catastrophic-like levels in children. Additionally, retroactive interference increased in adults when contextual differences between phases were minimized (Experiment 2), and decreased in adults who were more successful at encoding repeated pairs of stimuli during a training phase (Experiment 3). These results are discussed with respect to theories of memory and memory development. PMID:25688907

What types of learning are enhanced by a cued recall test?

PubMed

Carpenter, Shana K; Pashler, Harold; Vul, Edward

2006-10-01

In two experiments, we investigated what types of learning benefit from a cued recall test. After initial exposure to a word pair (A+B), subjects experienced either an intervening cued recall test (A-->?) with feedback, or a restudy presentation (A-->B). The final test could be cued recall in the same (A-->?) or opposite (?-->B) direction, or free recall of just the cues (Recall As) or just the targets (Recall Bs). All final tests revealed a benefit for testing as opposed to restudying. Tests produced a direct benefit for information that was retrieved on the intervening test (B). This benefit also "spilled over" to facilitate recall of information that was present on the test but not retrieved (A). Both theoretical and practical implications are discussed.

Beyond the Books: Reflections on Learning and Teaching.

ERIC Educational Resources Information Center

Hart, Francis Russell

A professor of literature recounts and draws on his experiences in the undergraduate English classroom, providing guidance to other teachers through theoretical and anecdotal comments on teaching and learning styles, curriculum, and teaching methods. The first chapter sketches a theoretical framework synthesized from models of learning and…

New Theoretical Approach Integrated Education and Technology

ERIC Educational Resources Information Center

Ding, Gang

2010-01-01

The paper focuses on exploring new theoretical approach in education with development of online learning technology, from e-learning to u-learning and virtual reality technology, and points out possibilities such as constructing a new teaching ecological system, ubiquitous educational awareness with ubiquitous technology, and changing the…

Learning Quantitative Sequence-Function Relationships from Massively Parallel Experiments

NASA Astrophysics Data System (ADS)

Atwal, Gurinder S.; Kinney, Justin B.

2016-03-01

A fundamental aspect of biological information processing is the ubiquity of sequence-function relationships—functions that map the sequence of DNA, RNA, or protein to a biochemically relevant activity. Most sequence-function relationships in biology are quantitative, but only recently have experimental techniques for effectively measuring these relationships been developed. The advent of such "massively parallel" experiments presents an exciting opportunity for the concepts and methods of statistical physics to inform the study of biological systems. After reviewing these recent experimental advances, we focus on the problem of how to infer parametric models of sequence-function relationships from the data produced by these experiments. Specifically, we retrace and extend recent theoretical work showing that inference based on mutual information, not the standard likelihood-based approach, is often necessary for accurately learning the parameters of these models. Closely connected with this result is the emergence of "diffeomorphic modes"—directions in parameter space that are far less constrained by data than likelihood-based inference would suggest. Analogous to Goldstone modes in physics, diffeomorphic modes arise from an arbitrarily broken symmetry of the inference problem. An analytically tractable model of a massively parallel experiment is then described, providing an explicit demonstration of these fundamental aspects of statistical inference. This paper concludes with an outlook on the theoretical and computational challenges currently facing studies of quantitative sequence-function relationships.

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

PubMed Central

Charland, Patrick; Léger, Pierre-Majorique; Sénécal, Sylvain; Courtemanche, François; Mercier, Julien; Skelling, Yannick; Labonté-Lemoyne, Elise

2015-01-01

In a recent theoretical synthesis on the concept of engagement, Fredricks, Blumenfeld and Paris1 defined engagement by its multiple dimensions: behavioral, emotional and cognitive. They observed that individual types of engagement had not been studied in conjunction, and little information was available about interactions or synergy between the dimensions; consequently, more studies would contribute to creating finely tuned teaching interventions. Benefiting from the recent technological advances in neurosciences, this paper presents a recently developed methodology to gather and synchronize data on multidimensional engagement during learning tasks. The technique involves the collection of (a) electroencephalography, (b) electrodermal, (c) eye-tracking, and (d) facial emotion recognition data on four different computers. This led to synchronization issues for data collected from multiple sources. Post synchronization in specialized integration software gives researchers a better understanding of the dynamics between the multiple dimensions of engagement. For curriculum developers, these data could provide informed guidelines for achieving better instruction/learning efficiency. This technique also opens up possibilities in the field of brain-computer interactions, where adaptive learning or assessment environments could be developed. PMID:26167712

Advocating for a Population-Specific Health Literacy for People With Visual Impairments.

PubMed

Harrison, Tracie; Lazard, Allison

2015-01-01

Health literacy, the ability to access, process, and understand health information, is enhanced by the visual senses among people who are typically sighted. Emotions, meaning, speed of knowledge transfer, level of attention, and degree of relevance are all manipulated by the visual design of health information when people can see. When consumers of health information are blind or visually impaired, they access, process, and understand their health information in a multitude of methods using a variety of accommodations depending upon their severity and type of impairment. They are taught, or they learn how, to accommodate their differences by using alternative sensory experiences and interpretations. In this article, we argue that due to the unique and powerful aspects of visual learning and due to the differences in knowledge creation when people are not visually oriented, health literacy must be considered a unique construct for people with visual impairment, which requires a distinctive theoretical basis for determining the impact of their mind-constructed representations of health.

Repeated learning makes cultural evolution unique

PubMed Central

Strimling, Pontus; Enquist, Magnus; Eriksson, Kimmo

2009-01-01

Although genetic information is acquired only once, cultural information can be both abandoned and reacquired during an individual's lifetime. Therefore, cultural evolution will be determined not only by cultural traits' ability to spread but also by how good they are at sticking with an individual; however, the evolutionary consequences of this aspect of culture have not previously been explored. Here we show that repeated learning and multiple characteristics of cultural traits make cultural evolution unique, allowing dynamical phenomena we can recognize as specifically cultural, such as traits that both spread quickly and disappear quickly. Importantly, the analysis of our model also yields a theoretical objection to the popular suggestion that biological and cultural evolution can be understood in similar terms. We find that the possibility to predict long-term cultural evolution by some success index, analogous to biological fitness, depends on whether individuals have few or many opportunities to learn. If learning opportunities are few, we find that the existence of a success index may be logically impossible, rendering notions of “cultural fitness” meaningless. On the other hand, if individuals can learn many times, we find a success index that works, regardless of whether the transmission pattern is vertical, oblique, or horizontal. PMID:19666615

Learning and Information Approaches for Inference in Dynamic Data-Driven Geophysical Applications

NASA Astrophysics Data System (ADS)

Ravela, S.

2015-12-01

Many Geophysical inference problems are characterized by non-linear processes, high-dimensional models and complex uncertainties. A dynamic coupling between models, estimation, and sampling is typically sought to efficiently characterize and reduce uncertainty. This process is however fraught with several difficulties. Among them, the key difficulties are the ability to deal with model errors, efficacy of uncertainty quantification and data assimilation. In this presentation, we present three key ideas from learning and intelligent systems theory and apply them to two geophysical applications. The first idea is the use of Ensemble Learning to compensate for model error, the second is to develop tractable Information Theoretic Learning to deal with non-Gaussianity in inference, and the third is a Manifold Resampling technique for effective uncertainty quantification. We apply these methods, first to the development of a cooperative autonomous observing system using sUAS for studying coherent structures. We apply this to Second, we apply this to the problem of quantifying risk from hurricanes and storm surges in a changing climate. Results indicate that learning approaches can enable new effectiveness in cases where standard approaches to model reduction, uncertainty quantification and data assimilation fail.

Cooperation-Controlled Learning for Explicit Class Structure in Self-Organizing Maps

PubMed Central

Kamimura, Ryotaro

2014-01-01

We attempt to demonstrate the effectiveness of multiple points of view toward neural networks. By restricting ourselves to two points of view of a neuron, we propose a new type of information-theoretic method called “cooperation-controlled learning.” In this method, individual and collective neurons are distinguished from one another, and we suppose that the characteristics of individual and collective neurons are different. To implement individual and collective neurons, we prepare two networks, namely, cooperative and uncooperative networks. The roles of these networks and the roles of individual and collective neurons are controlled by the cooperation parameter. As the parameter is increased, the role of cooperative networks becomes more important in learning, and the characteristics of collective neurons become more dominant. On the other hand, when the parameter is small, individual neurons play a more important role. We applied the method to the automobile and housing data from the machine learning database and examined whether explicit class boundaries could be obtained. Experimental results showed that cooperation-controlled learning, in particular taking into account information on input units, could be used to produce clearer class structure than conventional self-organizing maps. PMID:25309950

Cognitive culture: theoretical and empirical insights into social learning strategies.

PubMed

Rendell, Luke; Fogarty, Laurel; Hoppitt, William J E; Morgan, Thomas J H; Webster, Mike M; Laland, Kevin N

2011-02-01

Research into social learning (learning from others) has expanded significantly in recent years, not least because of productive interactions between theoretical and empirical approaches. This has been coupled with a new emphasis on learning strategies, which places social learning within a cognitive decision-making framework. Understanding when, how and why individuals learn from others is a significant challenge, but one that is critical to numerous fields in multiple academic disciplines, including the study of social cognition. Copyright © 2010 Elsevier Ltd. All rights reserved.

Theoretical Explanation for Success of Deep-Level-Learning Study Tours

ERIC Educational Resources Information Center

Bergsteiner, Harald; Avery, Gayle C.

2008-01-01

Study tours can help internationalize curricula and prepare students for global workplaces. We examine benefits of tours providing deep-level learning experiences rather than industrial tourism using five main theoretical frameworks to highlight the diverse learning benefits associated with intensive study tours in particular. Relevant theoretical…

E-Learning Systems Support of Collaborative Agreements: A Theoretical Model

ERIC Educational Resources Information Center

Aguirre, Sandra; Quemada, Juan

2012-01-01

This paper introduces a theoretical model for developing integrated degree programmes through e-learning systems as stipulated by a collaboration agreement signed by two universities. We have analysed several collaboration agreements between universities at the national, European, and transatlantic level as well as various e-learning frameworks. A…

The role of electronic health records in clinical reasoning.

PubMed

Berndt, Markus; Fischer, Martin R

2018-05-16

Electronic health records (eHRs) play an increasingly important role in documentation and exchange of information in multi-and interdisciplinary patient care. Although eHRs are associated with mixed evidence in terms of effectiveness, they are undeniably the health record form of the future. This poses several learning opportunities and challenges for medical education. This review aims to connect the concept of eHRs to key competencies of physicians and elaborates current learning science perspectives on diagnostic and clinical reasoning based on a theoretical framework of scientific reasoning and argumentation. It concludes with an integrative vision of the use of eHRs, and the special role of the patient, for teaching and learning in medicine. © 2018 New York Academy of Sciences.

A Learning-Based Approach to Reactive Security

NASA Astrophysics Data System (ADS)

Barth, Adam; Rubinstein, Benjamin I. P.; Sundararajan, Mukund; Mitchell, John C.; Song, Dawn; Bartlett, Peter L.

Despite the conventional wisdom that proactive security is superior to reactive security, we show that reactive security can be competitive with proactive security as long as the reactive defender learns from past attacks instead of myopically overreacting to the last attack. Our game-theoretic model follows common practice in the security literature by making worst-case assumptions about the attacker: we grant the attacker complete knowledge of the defender's strategy and do not require the attacker to act rationally. In this model, we bound the competitive ratio between a reactive defense algorithm (which is inspired by online learning theory) and the best fixed proactive defense. Additionally, we show that, unlike proactive defenses, this reactive strategy is robust to a lack of information about the attacker's incentives and knowledge.

Enhancing science education through extracurricular activities: A retrospective study of "Suzy Science and the Whiz Kids(c)"

NASA Astrophysics Data System (ADS)

Kralina, Linda M.

Extracurricular activities (ECA) are informal settings offering free-choice experiences that are generally voluntary, open-ended, non-sequential, self-directed, hands-on, and evaluation-free. This mixed methods study investigates participation in a high school science ECA by collecting the memories of former student members for their perceptions of engagement as well as social positioning. First, this study examines the levels in which the science club engaged these members, particularly females, in science and teaching. Second, the study also ascertains how participation in the club allowed members to explore new identities and fostered the development of new skills, actions and behaviors, expanding possible future trajectories of identification, specifically in science- and education-related career fields. Based on a review of the related literature regarding engagement and identity formation and the reconstructed reality from the memories of these students and sponsor, a theoretical framework has been constructed, based on seven essential elements of informal learning for an engaging as well as a socially constructive high school science ECA. The most significant findings are (1) the high correlation between engagement, specifically, cognitive engagement with social positioning, (2) the important role of emotional engagement in science ECA, (3) the major perception roadblocks to science learning that can be overcome, particularly for females in physical science, and (4) the importance of the teacher-student interactions in science ECA. Articulating a theoretical framework to legitimate the power of informal learning structures may help other educators to understand the potential benefits of science ECA and thus, increase opportunities for such experiential activities in order to enhance engagement and expand positioning of their students in science. More engaging, socially constructive science ECA have the potential to enhance science education.

Theorizing and researching levels of processing in self-regulated learning.

PubMed

Winne, Philip H

2018-03-01

Deep versus surface knowledge is widely discussed by educational practitioners. A corresponding construct, levels of processing, has received extensive theoretical and empirical attention in learning science and psychology. In both arenas, lower levels of information and shallower levels of processing are predicted and generally empirically demonstrated to limit knowledge learners gain, curtail what they can do with newly acquired knowledge, and shorten the life span of recently acquired knowledge. I recapitulate major accounts of levels or depth of information and information processing to set a stage for conceptualizing, first, self-regulated learning (SRL) from this perspective and, second, how a "levels-sensitive" approach might be implemented in research about SRL. I merge the levels construct into a model of SRL (Winne, 2011, Handbook of self-regulation of learning and performance (pp. 15-32), New York: Routledge; Winne, 2017b, Handbook of self-regulation of learning and performance (2 nd ed.), New York: Routledge; Winne & Hadwin, 1998, Metacognition in educational theory and practice (pp. 277-304). Mahwah, NJ: Lawrence Erlbaum) conceptually and with respect to operationally defining the levels construct in the context of SRL in relation to each of the model's four phases - surveying task conditions, setting goals and planning, engaging the task, and composing major adaptations for future tasks. Select illustrations are provided for each phase of SRL. Regarding phase 3, a software system called nStudy is introduced as state-of-the-art instrumentation for gathering fine-grained, time-stamped trace data about information learners select for processing and operations they use to process that information. Self-regulated learning can be viewed through a lens of the levels construct, and operational definitions can be designed to research SRL with respect to levels. While information can be organized arbitrarily deeply, the levels construct may not be particularly useful for distinguishing among processes except in a sense that, because processes in SRL operate on information with depth, they epiphenomenally acquire characteristics of levels. Thus, SRL per se is not a deeper kind of processing. Instead, it is processing more complex - deeper - information about a different topic, namely processes for learning. © 2017 The British Psychological Society.

Teacher Researchers Creating Communities of Research Practice by the Use of a Professional Development Approach

ERIC Educational Resources Information Center

Holmqvist, Mona; Bergentoft, Heléne; Selin, Per

2018-01-01

The aim of this article is to elucidate how teacher researchers use a theoretical framework as mediated tool to create boundaries in communities of research practices (CoRPs) and how this effects student learning. If, and in what way, knowledge developed in one practice can be used to inform the next is also examined. Two teacher researchers…

Evidence-Based, Theoretically Informed Design as a Means to Investigate and Transform Proof Practices in School Mathematics

ERIC Educational Resources Information Center

Healy, Lulu; de Carvalho, Cláudia Cristina Soares

2014-01-01

This article focusses on a programme of research into the teaching and learning of proof inspired by Celia Hoyles. By revisiting the first of a series of projects into justifying and proving in school mathematics developed by Celia in the 1990s and by considering how the innovative research methods adopted as well as the results obtained impacted…

Conferences as Learning Communities: Some Early Lessons in Using "Back-Channel" Technologies at an Academic Conference--Distributed Intelligence or Divided Attention?

ERIC Educational Resources Information Center

Jacobs, N.; McFarlane, A.

2005-01-01

Most, if not all, researchers attend conferences as a part of their practice, and yet it is an under-researched activity. Little attention has been paid either to developing a theoretically informed understanding of conference practice as knowledge building, or to assessing the extent to which conferences are successful. This paper addresses these…

Dynamical Systems Theory: Application to Pedagogy

NASA Astrophysics Data System (ADS)

Abraham, Jane L.

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

The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning

PubMed Central

Nasser, Helen M.; Calu, Donna J.; Schoenbaum, Geoffrey; Sharpe, Melissa J.

2017-01-01

Phasic activity of midbrain dopamine neurons is currently thought to encapsulate the prediction-error signal described in Sutton and Barto’s (1981) model-free reinforcement learning algorithm. This phasic signal is thought to contain information about the quantitative value of reward, which transfers to the reward-predictive cue after learning. This is argued to endow the reward-predictive cue with the value inherent in the reward, motivating behavior toward cues signaling the presence of reward. Yet theoretical and empirical research has implicated prediction-error signaling in learning that extends far beyond a transfer of quantitative value to a reward-predictive cue. Here, we review the research which demonstrates the complexity of how dopaminergic prediction errors facilitate learning. After briefly discussing the literature demonstrating that phasic dopaminergic signals can act in the manner described by Sutton and Barto (1981), we consider how these signals may also influence attentional processing across multiple attentional systems in distinct brain circuits. Then, we discuss how prediction errors encode and promote the development of context-specific associations between cues and rewards. Finally, we consider recent evidence that shows dopaminergic activity contains information about causal relationships between cues and rewards that reflect information garnered from rich associative models of the world that can be adapted in the absence of direct experience. In discussing this research we hope to support the expansion of how dopaminergic prediction errors are thought to contribute to the learning process beyond the traditional concept of transferring quantitative value. PMID:28275359

Towards a Theoretical Framework for Understanding PGCE Student Teacher Learning in the Wild Coast Rural Schools' Partnership Project

ERIC Educational Resources Information Center

Pennefather, Jane

2016-01-01

This article focuses on a theoretical model that I am developing in order to understand student teacher learning in a rural context and the enabling conditions that can support this learning. The question of whether a supervised teaching practice in a rural context can contribute to the development of student teacher professional learning and…

Making Matters? Unpacking the Role of Practical Aesthetic Making Activities in the General Education through the Theoretical Lens of Embodied Learning

ERIC Educational Resources Information Center

Gulliksen, Marte S.

2017-01-01

New knowledge on cognition and learning generated in the various fields of neuroscience is now being incorporated into the learning sciences. This development might have broad significance for the theoretical development of the field of education, in particular leading to a renewed and more nuanced understanding of learning as an embodied process.…

Uncovering Black/African American and Latina/o students' motivation to learn science: Affordances to science identity development

NASA Astrophysics Data System (ADS)

Mahfood, Denise Marcia

The following dissertation reports on a qualitative exploration that serves two main goals: (1) to qualitatively define and highlight science motivation development of Black/African American and Latina/o students as they learn science in middle school, high school, and in college and (2) to reveal through personal narratives how successful entry and persistence in science by this particular group is linked to the development of their science identities. The targeted population for this study is undergraduate students of color in science fields at a college or university. The theoretical frameworks for this study are constructivist theory, motivation theory, critical theory, and identity theories. The methodological approach is narrative which includes students' science learning experiences throughout the course of their academic lives. I use The Science Motivation Questionnaire II to obtain baseline data to quantitatively assess for motivation to learn science. Data from semi-structured interviews from selected participants were collected, coded, and configured into a story, and emergent themes reveal the important role of science learning in both informal and formal settings, but especially in informal settings that contribute to better understandings of science and the development of science identities for these undergraduate students of color. The findings have implications for science teaching in schools and teacher professional development in science learning.

Science information in the media: an academic approach to improve its intrinsic quality.

PubMed

Bruno, Flavia; Vercellesi, Luisa

2002-01-01

The lay audience expresses a clear demand for scientific information, particularly when health and welfare are involved. For most people science is what they learn from the media. The need for good scientific journalism is pressing, to bridge the gap between the slow pace of science and the fast-moving and concise nature of successful mass communication. This academic postgraduate course was established by the Department of Pharmacological Sciences to train mediators to improve the quality of lay scientific dissemination. The programme focuses on teaching a method of selecting, analysing, understanding, mediating and diffusing scientific information to lay people. The course explores the theoretical and practical aspects of methods, techniques and channels of scientific communication. Case studies, practical exercises, and stages complement the theoretical curriculum. The teaching focus is on reducing the asymmetry between scientists and the public. The different backgrounds of students and the spread of topics are major challenges. Copyright 2002 Academic Press.

Can Facebook informational use foster adolescent civic engagement?

PubMed

Lenzi, Michela; Vieno, Alessio; Altoè, Gianmarco; Scacchi, Luca; Perkins, Douglas D; Zukauskiene, Rita; Santinello, Massimo

2015-06-01

The findings on the association between Social Networking Sites and civic engagement are mixed. The present study aims to evaluate a theoretical model linking the informational use of Internet-based social media (specifically, Facebook) with civic competencies and intentions for future civic engagement, taking into account the mediating role of civic discussions with family and friends and sharing the news online. Participants were 114 Italian high school students aged 14-17 years (57 % boys). Path analysis was used to evaluate the proposed theoretical model. Results showed that Facebook informational use was associated with higher levels of adolescent perceived competence for civic action, both directly and through the mediation of civic discussion with parents and friends (offline). Higher levels of civic competencies, then, were associated with a stronger intention to participate in the civic domain in the future. Our findings suggest that Facebook may provide adolescents with additional tools through which they can learn civic activities or develop the skills necessary to participate in the future.

The experiential health information processing model: supporting collaborative web-based patient education

PubMed Central

O'Grady, Laura A; Witteman, Holly; Wathen, C Nadine

2008-01-01

Background First generation Internet technologies such as mailing lists or newsgroups afforded unprecedented levels of information exchange within a variety of interest groups, including those who seek health information. With emergence of the World Wide Web many communication applications were ported to web browsers. One of the driving factors in this phenomenon has been the exchange of experiential or anecdotal knowledge that patients share online, and there is emerging evidence that participation in these forums may be having an impact on people's health decision making. Theoretical frameworks supporting this form of information seeking and learning have yet to be proposed. Results In this article, we propose an adaptation of Kolb's experiential learning theory to begin to formulate an experiential health information processing model that may contribute to our understanding of online health information seeking behaviour in this context. Conclusion An experiential health information processing model is proposed that can be used as a research framework. Future research directions include investigating the utility of this model in the online health information seeking context, studying the impact of collaborating in these online environments on patient decision making and on health outcomes are provided. PMID:19087353

Acting to gain information

NASA Technical Reports Server (NTRS)

Rosenchein, Stanley J.; Burns, J. Brian; Chapman, David; Kaelbling, Leslie P.; Kahn, Philip; Nishihara, H. Keith; Turk, Matthew

1993-01-01

This report is concerned with agents that act to gain information. In previous work, we developed agent models combining qualitative modeling with real-time control. That work, however, focused primarily on actions that affect physical states of the environment. The current study extends that work by explicitly considering problems of active information-gathering and by exploring specialized aspects of information-gathering in computational perception, learning, and language. In our theoretical investigations, we analyzed agents into their perceptual and action components and identified these with elements of a state-machine model of control. The mathematical properties of each was developed in isolation and interactions were then studied. We considered the complexity dimension and the uncertainty dimension and related these to intelligent-agent design issues. We also explored active information gathering in visual processing. Working within the active vision paradigm, we developed a concept of 'minimal meaningful measurements' suitable for demand-driven vision. We then developed and tested an architecture for ongoing recognition and interpretation of visual information. In the area of information gathering through learning, we explored techniques for coping with combinatorial complexity. We also explored information gathering through explicit linguistic action by considering the nature of conversational rules, coordination, and situated communication behavior.

The experiential health information processing model: supporting collaborative web-based patient education.

PubMed

O'Grady, Laura A; Witteman, Holly; Wathen, C Nadine

2008-12-16

First generation Internet technologies such as mailing lists or newsgroups afforded unprecedented levels of information exchange within a variety of interest groups, including those who seek health information. With emergence of the World Wide Web many communication applications were ported to web browsers. One of the driving factors in this phenomenon has been the exchange of experiential or anecdotal knowledge that patients share online, and there is emerging evidence that participation in these forums may be having an impact on people's health decision making. Theoretical frameworks supporting this form of information seeking and learning have yet to be proposed. In this article, we propose an adaptation of Kolb's experiential learning theory to begin to formulate an experiential health information processing model that may contribute to our understanding of online health information seeking behaviour in this context. An experiential health information processing model is proposed that can be used as a research framework. Future research directions include investigating the utility of this model in the online health information seeking context, studying the impact of collaborating in these online environments on patient decision making and on health outcomes are provided.

Nocturnal Mnemonics: Sleep and Hippocampal Memory Processing

PubMed Central

Saletin, Jared M.; Walker, Matthew P.

2012-01-01

As critical as waking brain function is to learning and memory, an established literature now describes an equally important yet complementary role for sleep in information processing. This overview examines the specific contribution of sleep to human hippocampal memory processing; both the detriments caused by a lack of sleep, and conversely, the proactive benefits that develop following the presence of sleep. First, a role for sleep before learning is discussed, preparing the hippocampus for initial memory encoding. Second, a role for sleep after learning is considered, modulating the post-encoding consolidation of hippocampal-dependent memory. Third, a model is outlined in which these encoding and consolidation operations are symbiotically accomplished, associated with specific NREM sleep physiological oscillations. As a result, the optimal network outcome is achieved: increasing hippocampal independence and hence overnight consolidation, while restoring next-day sparse hippocampal encoding capacity for renewed learning ability upon awakening. Finally, emerging evidence is considered suggesting that, unlike previous conceptions, sleep does not universally consolidate all information. Instead, and based on explicit as well as saliency cues during initial encoding, sleep executes the discriminatory offline consolidation only of select information. Consequently, sleep promotes the targeted strengthening of some memories while actively forgetting others; a proposal with significant theoretical and clinical ramifications. PMID:22557988

Interactive Learning Program (ILP)- a concept for life long learning and Capacity Building of Stakeholders in Integrated Flood Management (IFM)

NASA Astrophysics Data System (ADS)

Pasche, E.; Manojlovic, N.; Basener, S.; Behzadnia, N.

2009-04-01

In the paradigm shift in flood management from traditional to more integrated approach the key to initialising this transition stage is capacity building of stakeholders. It supports the effective participation of stakeholders within their role by giving the individuals/professionals and institutions required knowledge and skills. Such a process of empowering targeted stakeholder groups should be based on the interactive learning rather than mere delivering of flood related information. It can be achieved by initiating the learning process and developing life-long learning programs in form of blended learning that combines both, supervised online and face-to-face approaches. The learning concept based on the didactic principle of Kolb/Fry, has been used as a basis for development of the Interactive Learning Program (ILP) presented in this paper. Kolb/Fry define learning as a cyclic process dividing it into four steps: concrete experience, reflection & observation, forming abstract concepts, testing of acquainted knowledge in new situations. As the knowledge to understand the complexity of IFM is extensive and required level usually cannot be achieved within the face-to-face phase, additional autodidactic learning module tailored to the individual skills should be included in the learning program. ILP combines both, the face-to-face sessions following the Kolb?s learning cycle including theoretical and practical aspects and autodidactic phase by means of the e-learning platform based on the web dissemination strategy for IFM- Kalypso Inform (Pasche/Kraus/Manojlovic). According to this strategy, the access to the flood related information is enabled through three different modules Tutorial, Knowledge Base and Virtual Trainer enabling interaction with the system. This ILP is generic and can be tailored to requirements of different stakeholder groups depending on their role and level of integration in IFM. The first results, obtained for both public and private stakeholders, are encouraging indicating that such concepts should become a substantial part of the IFM.

Studying citizen science through adaptive management and learning feedbacks as mechanisms for improving conservation.

PubMed

Jordan, Rebecca; Gray, Steven; Sorensen, Amanda; Newman, Greg; Mellor, David; Newman, Greg; Hmelo-Silver, Cindy; LaDeau, Shannon; Biehler, Dawn; Crall, Alycia

2016-06-01

Citizen science has generated a growing interest among scientists and community groups, and citizen science programs have been created specifically for conservation. We examined collaborative science, a highly interactive form of citizen science, which we developed within a theoretically informed framework. In this essay, we focused on 2 aspects of our framework: social learning and adaptive management. Social learning, in contrast to individual-based learning, stresses collaborative and generative insight making and is well-suited for adaptive management. Adaptive-management integrates feedback loops that are informed by what is learned and is guided by iterative decision making. Participants engaged in citizen science are able to add to what they are learning through primary data collection, which can result in the real-time information that is often necessary for conservation. Our work is particularly timely because research publications consistently report a lack of established frameworks and evaluation plans to address the extent of conservation outcomes in citizen science. To illustrate how our framework supports conservation through citizen science, we examined how 2 programs enacted our collaborative science framework. Further, we inspected preliminary conservation outcomes of our case-study programs. These programs, despite their recent implementation, are demonstrating promise with regard to positive conservation outcomes. To date, they are independently earning funds to support research, earning buy-in from local partners to engage in experimentation, and, in the absence of leading scientists, are collecting data to test ideas. We argue that this success is due to citizen scientists being organized around local issues and engaging in iterative, collaborative, and adaptive learning. © 2016 Society for Conservation Biology.

Learning Physical Domains: Toward a Theoretical Framework.

ERIC Educational Resources Information Center

Forbus, Kenneth D.; Gentner, Dedre

People use and extend their knowledge of the physical world constantly. Understanding how this fluency is achieved would be an important milestone in understanding human learning and intelligence, as well as a useful guide for constructing machines that learn. This paper presents a theoretical framework that is being developed in an attempt to…

Chinese Children's Reading Acquisition: Theoretical and Pedagogical Issues.

ERIC Educational Resources Information Center

Li, Wenling, Ed.; Gaffney, Janet S., Ed.; Packard, Jerome L., Ed.

This book provides comprehensive resources for the critical discussion of major issues in learning to read Chinese from a child acquisition perspective. It is divided into 4 parts and 11 chapters. Part 1, "Theoretical Perspectives on Learning to Read" includes "Current Issues in Learning To Read Chinese" (Ovid J.L. Tzeng),…

Theoretical Perspectives on Assessment in Cooperative Education Placements

ERIC Educational Resources Information Center

Hodges, David; Eames, Chris; Coll, Richard K.

2014-01-01

In this paper we examine theoretical perspectives on assessment in cooperative education placements. As assessment is linked to student learning, we focus briefly on the purposes of assessment. We then consider a range of learning theories that have been, and are more recently, explored as ways to explain the process of learning on cooperative…

Appraising the Qualities of Social Work Students' Theoretical Knowledge: A Qualitative Exploration

ERIC Educational Resources Information Center

van Bommel, Marijke; Boshuizen, Henny P. A.; Kwakman, Kitty

2012-01-01

Higher professional education aims to prepare students for entering practice with an adequate theoretical body of knowledge. In constructivist programmes, authentic learning contexts and self-directed learning are assumed to support knowledge learning and the transition from education to practice. Through an in-depth exploration, this case study…

Factors Influencing the Use of Learning Management System in Saudi Arabian Higher Education: A Theoretical Framework

ERIC Educational Resources Information Center

Asiri, Mohammed J. Sherbib; Mahmud, Rosnaini bt; Bakar, Kamariah Abu; Ayub, Ahmad Fauzi bin Mohd

2012-01-01

The purpose of this paper is to present the theoretical framework underlying a research on factors that influence utilization of the Jusur Learning Management System (Jusur LMS) in Saudi Arabian public universities. Development of the theoretical framework was done based on library research approach. Initially, the existing literature relevant to…

Towards a theory of individual differences in statistical learning

PubMed Central

Bogaerts, Louisa; Christiansen, Morten H.; Frost, Ram

2017-01-01

In recent years, statistical learning (SL) research has seen a growing interest in tracking individual performance in SL tasks, mainly as a predictor of linguistic abilities. We review studies from this line of research and outline three presuppositions underlying the experimental approach they employ: (i) that SL is a unified theoretical construct; (ii) that current SL tasks are interchangeable, and equally valid for assessing SL ability; and (iii) that performance in the standard forced-choice test in the task is a good proxy of SL ability. We argue that these three critical presuppositions are subject to a number of theoretical and empirical issues. First, SL shows patterns of modality- and informational-specificity, suggesting that SL cannot be treated as a unified construct. Second, different SL tasks may tap into separate sub-components of SL that are not necessarily interchangeable. Third, the commonly used forced-choice tests in most SL tasks are subject to inherent limitations and confounds. As a first step, we offer a methodological approach that explicitly spells out a potential set of different SL dimensions, allowing for better transparency in choosing a specific SL task as a predictor of a given linguistic outcome. We then offer possible methodological solutions for better tracking and measuring SL ability. Taken together, these discussions provide a novel theoretical and methodological approach for assessing individual differences in SL, with clear testable predictions. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872377

Cross-cultural undergraduate medical education in North America: theoretical concepts and educational approaches.

PubMed

Reitmanova, Sylvia

2011-04-01

Cross-cultural undergraduate medical education in North America lacks conceptual clarity. Consequently, school curricula are unsystematic, nonuniform, and fragmented. This article provides a literature review about available conceptual models of cross-cultural medical education. The clarification of these models may inform the development of effective educational programs to enable students to provide better quality care to patients from diverse sociocultural backgrounds. The approaches to cross-cultural health education can be organized under the rubric of two specific conceptual models: cultural competence and critical culturalism. The variation in the conception of culture adopted in these two models results in differences in all curricular components: learning outcomes, content, educational strategies, teaching methods, student assessment, and program evaluation. Medical schools could benefit from more theoretical guidance on the learning outcomes, content, and educational strategies provided to them by governing and licensing bodies. More student assessments and program evaluations are needed in order to appraise the effectiveness of cross-cultural undergraduate medical education.

Student participation in World Wide Web-based curriculum development of general chemistry

NASA Astrophysics Data System (ADS)

Hunter, William John Forbes

1998-12-01

This thesis describes an action research investigation of improvements to instruction in General Chemistry at Purdue University. Specifically, the study was conducted to guide continuous reform of curriculum materials delivered via the World Wide Web by involving students, instructors, and curriculum designers. The theoretical framework for this study was based upon constructivist learning theory and knowledge claims were developed using an inductive analysis procedure. This results of this study are assertions made in three domains: learning chemistry content via the World Wide Web, learning about learning via the World Wide Web, and learning about participation in an action research project. In the chemistry content domain, students were able to learn chemical concepts that utilized 3-dimensional visualizations, but not textual and graphical information delivered via the Web. In the learning via the Web domain, the use of feedback, the placement of supplementary aids, navigation, and the perception of conceptual novelty were all important to students' use of the Web. In the participation in action research domain, students learned about the complexity of curriculum. development, and valued their empowerment as part of the process.

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

PubMed

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

2014-11-01

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

More Than Words: The Role of Multiword Sequences in Language Learning and Use.

PubMed

Christiansen, Morten H; Arnon, Inbal

2017-07-01

The ability to convey our thoughts using an infinite number of linguistic expressions is one of the hallmarks of human language. Understanding the nature of the psychological mechanisms and representations that give rise to this unique productivity is a fundamental goal for the cognitive sciences. A long-standing hypothesis is that single words and rules form the basic building blocks of linguistic productivity, with multiword sequences being treated as units only in peripheral cases such as idioms. The new millennium, however, has seen a shift toward construing multiword linguistic units not as linguistic rarities, but as important building blocks for language acquisition and processing. This shift-which originated within theoretical approaches that emphasize language learning and use-has far-reaching implications for theories of language representation, processing, and acquisition. Incorporating multiword units as integral building blocks blurs the distinction between grammar and lexicon; calls for models of production and comprehension that can accommodate and give rise to the effect of multiword information on processing; and highlights the importance of such units to learning. In this special topic, we bring together cutting-edge work on multiword sequences in theoretical linguistics, first-language acquisition, psycholinguistics, computational modeling, and second-language learning to present a comprehensive overview of the prominence and importance of such units in language, their possible role in explaining differences between first- and second-language learning, and the challenges the combined findings pose for theories of language. Copyright © 2017 Cognitive Science Society, Inc.

A Theoretical Basis for Adult Learning Facilitation: Review of Selected Articles

ERIC Educational Resources Information Center

Muneja, Mussa S.

2015-01-01

The aim of this paper is to synthesize a theoretical basis for adult learning facilitation in order to provide a valuable systematic resource in the field of adult education. The paper has reviewed 6 journal articles with topics ranging from theory of andragogy; the effect of globalization on adult learning; the contribution of Malcolm Knowles;…

Anatomy--The Patient's or the Book's? Progress Report on a Teaching Experiment Which Reverses the Traditional Sequence of "Theoretical" and "Practical" Learning

ERIC Educational Resources Information Center

Blecher, Stan R.

1978-01-01

An attempt to replace a tradition of theoretical rote memorization by objective-oriented learning is described, based on an experiment involving teaching anatomy to dental students at the Royal Dental College in Copenhagen. Both students and teachers favored this independent learning system. (Author/LBH)

The Challenge of Self-Directed and Self-Regulated Learning in Vocational Education: A Theoretical Analysis and Synthesis of Requirements

ERIC Educational Resources Information Center

Jossberger, Helen; Brand-Gruwel, Saskia; Boshuizen, Henny; van de Wiel, Margje

2010-01-01

Workplace simulations (WPS), authentic learning environments at school, are increasingly used in vocational education. This article provides a theoretical analysis and synthesis of requirements considering learner skills, characteristics of the learning environment and the role of the teacher that influence good functioning in WPS and foster…

Are Materialistic Teenagers Less Motivated to Learn? Cross-Sectional and Longitudinal Evidence from the United Kingdom and Hong Kong

ERIC Educational Resources Information Center

Ku, Lisbeth; Dittmar, Helga; Banerjee, Robin

2012-01-01

Is materialism systematically related to teenagers' learning motivation as well as actual learning outcomes? The reported research tested a theoretical model of associations among materialism, achievement goals, and exam performance among teenagers. Study 1 tested the theoretical model in 4 groups of teenagers drawn from 2 different educational…

Patterns of Control over the Teaching-Studying-Learning Process and Classrooms as Complex Dynamic Environments: A Theoretical Framework

ERIC Educational Resources Information Center

Harjunen, Elina

2012-01-01

In this theoretical paper the role of power in classroom interactions is examined in terms of a dominance continuum to advance a theoretical framework justifying the emergence of three ways of distributing power when it comes to dealing with the control over the teaching-studying-learning (TSL) "pattern of teacher domination," "pattern of…

Advances in Learning and Behavioral Disabilities. Volume 10. Part A: Theoretical Perspectives [and] Part B: Intervention Research.

ERIC Educational Resources Information Center

Scruggs, Thomas E., Ed.; Mastropieri, Margo A., Ed.

This two-volume set presents 11 papers on the state of the art in learning and behavioral disabilities, the first volume, Part A, includes 6 papers providing theoretical perspectives and, the second volume, Part B, includes 5 papers on intervention research. The theoretical papers are: "Defining Emotional or Behavioral Disorders: Divergence…

Review Article: Yamada, Jeni "Laura: A Case for the Modularity of Language"; Tomasello, Michael "First Verbs: A Case Study of Early Grammatical Development."

ERIC Educational Resources Information Center

Shatz, Marilyn

1994-01-01

Jeni Yamada's "Laura" and Michael Tomasello's "First Verbs" continue a tradition of providing useful information on the language ability of individuals in a depth rarely found in multisubject studies; however, these efforts are unusual for case studies in that both take strong theoretical positions on the essence of language and language learning.…

Learning and Individual Differences: An Ability/Information-Processing Framework for Skill Acquisition

DTIC Science & Technology

1993-03-15

state of the test -taker (e.g., time-of-day, arousal level; see Revelle, Humphreys, Simon, & Gilliland, 1980) and the psychological state of the test ...the psychology of individual differences. Test directions almost never tell the examinee how to approach the task. Theoretically, style of performance...J. (1949). Essentials of psychological testing . New York: Harper & Row. Cronbach. L. J. (1984). Essentials of psychological testing (4th edition

Learning and Individual Differences: An Ability/Information - Processing Framework for Skill Acquisition

DTIC Science & Technology

1993-03-15

1992, Journal of Applied Psychology ).] This study represented an attempt to extend and test the Ackerman (1988) theory of the cognitive ability...both the physical state of the test -taker (e.g., time-of-day, arousal level; see Revelle, Humphreys, Simon, & Gilliland, 1980) and the psychological ...little consideration in the psychology of individual differences. -. Test directions almost never tell the examinee how to approach the task. Theoretically

The Beneficial Role of L1 Spoken Language Skills on Initial L2 Sign Language Learning: Cognitive and Linguistic Predictors of M2L2 Acquisition

ERIC Educational Resources Information Center

Williams, Joshua T.; Darcy, Isabelle; Newman, Sharlene D.

2017-01-01

Understanding how language modality (i.e., signed vs. spoken) affects second language outcomes in hearing adults is important both theoretically and pedagogically, as it can determine the specificity of second language (L2) theory and inform how best to teach a language that uses a new modality. The present study investigated which…

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

PubMed Central

Emberson, Lauren L.; Rubinstein, Dani

2016-01-01

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

Placebo Response is Driven by UCS Revaluation: Evidence, Neurophysiological Consequences and a Quantitative Model

PubMed Central

Puviani, Luca; Rama, Sidita

2016-01-01

Despite growing scientific interest in the placebo effect and increasing understanding of neurobiological mechanisms, theoretical modeling of the placebo response remains poorly developed. The most extensively accepted theories are expectation and conditioning, involving both conscious and unconscious information processing. However, it is not completely understood how these mechanisms can shape the placebo response. We focus here on neural processes which can account for key properties of the response to substance intake. It is shown that placebo response can be conceptualized as a reaction of a distributed neural system within the central nervous system. Such a reaction represents an integrated component of the response to open substance administration (or to substance intake) and is updated through “unconditioned stimulus (UCS) revaluation learning”. The analysis leads to a theorem, which proves the existence of two distinct quantities coded within the brain, these are the expected or prediction outcome and the reactive response. We show that the reactive response is updated automatically by implicit revaluation learning, while the expected outcome can also be modulated through conscious information processing. Conceptualizing the response to substance intake in terms of UCS revaluation learning leads to the theoretical formulation of a potential neuropharmacological treatment for increasing unlimitedly the effectiveness of a given drug. PMID:27436417

A novel Bayesian framework for discriminative feature extraction in Brain-Computer Interfaces.

PubMed

Suk, Heung-Il; Lee, Seong-Whan

2013-02-01

As there has been a paradigm shift in the learning load from a human subject to a computer, machine learning has been considered as a useful tool for Brain-Computer Interfaces (BCIs). In this paper, we propose a novel Bayesian framework for discriminative feature extraction for motor imagery classification in an EEG-based BCI in which the class-discriminative frequency bands and the corresponding spatial filters are optimized by means of the probabilistic and information-theoretic approaches. In our framework, the problem of simultaneous spatiospectral filter optimization is formulated as the estimation of an unknown posterior probability density function (pdf) that represents the probability that a single-trial EEG of predefined mental tasks can be discriminated in a state. In order to estimate the posterior pdf, we propose a particle-based approximation method by extending a factored-sampling technique with a diffusion process. An information-theoretic observation model is also devised to measure discriminative power of features between classes. From the viewpoint of classifier design, the proposed method naturally allows us to construct a spectrally weighted label decision rule by linearly combining the outputs from multiple classifiers. We demonstrate the feasibility and effectiveness of the proposed method by analyzing the results and its success on three public databases.

Using Expectancy Value Theory as a Framework to Reduce Student Resistance to Active Learning: A Proof of Concept.

PubMed

Cooper, Katelyn M; Ashley, Michael; Brownell, Sara E

2017-01-01

There has been a national movement to transition college science courses from passive lectures to active learning environments. Active learning has been shown to be a more effective way for students to learn, yet there is concern that some students are resistant to active learning approaches. Although there is much discussion about student resistance to active learning, few studies have explored this topic. Furthermore, a limited number of studies have applied theoretical frameworks to student engagement in active learning. We propose using a theoretical lens of expectancy value theory to understand student resistance to active learning. In this study, we examined student perceptions of active learning after participating in 40 hours of active learning. We used the principal components of expectancy value theory to probe student experience in active learning: student perceived self-efficacy in active learning, value of active learning, and potential cost of participating in active learning. We found that students showed positive changes in the components of expectancy value theory and reported high levels of engagement in active learning, which provide proof of concept that expectancy value theory can be used to boost student perceptions of active learning and their engagement in active learning classrooms. From these findings, we have built a theoretical framework of expectancy value theory applied to active learning.

Using Expectancy Value Theory as a Framework to Reduce Student Resistance to Active Learning: A Proof of Concept

PubMed Central

Cooper, Katelyn M.; Ashley, Michael; Brownell, Sara E.

2017-01-01

There has been a national movement to transition college science courses from passive lectures to active learning environments. Active learning has been shown to be a more effective way for students to learn, yet there is concern that some students are resistant to active learning approaches. Although there is much discussion about student resistance to active learning, few studies have explored this topic. Furthermore, a limited number of studies have applied theoretical frameworks to student engagement in active learning. We propose using a theoretical lens of expectancy value theory to understand student resistance to active learning. In this study, we examined student perceptions of active learning after participating in 40 hours of active learning. We used the principal components of expectancy value theory to probe student experience in active learning: student perceived self-efficacy in active learning, value of active learning, and potential cost of participating in active learning. We found that students showed positive changes in the components of expectancy value theory and reported high levels of engagement in active learning, which provide proof of concept that expectancy value theory can be used to boost student perceptions of active learning and their engagement in active learning classrooms. From these findings, we have built a theoretical framework of expectancy value theory applied to active learning. PMID:28861130

Learning to cooperate without awareness in multiplayer minimal social situations.

PubMed

Colman, Andrew M; Pulford, Briony D; Omtzigt, David; al-Nowaihi, Ali

2010-11-01

Experimental and Monte Carlo methods were used to test theoretical predictions about adaptive learning of cooperative responses without awareness in minimal social situations-games in which the payoffs to players depend not on their own actions but exclusively on the actions of other group members. In Experiment 1, learning occurred slowly over 200 rounds in a dyadic minimal social situation but not in multiplayer groups. In Experiments 2-4, learning occurred rarely in multiplayer groups, even when players were informed that they were interacting strategically and were allowed to communicate with one another but were not aware of the game's payoff structure. Monte Carlo simulation suggested that players approach minimal social situations using a noisy version of the win-stay, lose-shift decision rule, deviating from the deterministic rule less frequently after rewarding than unrewarding rounds. Copyright 2010 Elsevier Inc. All rights reserved.

The psychological characteristics of experiences that influence science motivation and content knowledge

NASA Astrophysics Data System (ADS)

Bathgate, Meghan; Schunn, Christian

2017-11-01

While motivational changes towards science are common during adolescence, our work asks which perceived classroom experiences are most strongly related to these changes. Additionally, we examine which experiences are most strongly associated with learning classroom content. In particular, using self-reports from a sample of approximately 3000 middle school students, this study investigates the influence of perceived science classroom experiences, namely student engagement and perceived success, on motivational change (fascination, values, competency belief) and content knowledge. Controlling for demographic information, school effects, and initial levels of motivation and content knowledge, we find that dimensions of engagement (affect, behavioural/cognitive) and perceived success are differentially associated with changes in particular motivational constructs and learning. Affective engagement is positively associated with motivational outcomes and negatively associated with learning outcomes, behavioural-cognitive engagement is associated only with learning, and perceived success is related only to motivational outcomes. Theoretical and practical implications are discussed.

Noise-tolerant parity learning with one quantum bit

NASA Astrophysics Data System (ADS)

Park, Daniel K.; Rhee, June-Koo K.; Lee, Soonchil

2018-03-01

Demonstrating quantum advantage with less powerful but more realistic devices is of great importance in modern quantum information science. Recently, a significant quantum speedup was achieved in the problem of learning a hidden parity function with noise. However, if all data qubits at the query output are completely depolarized, the algorithm fails. In this work, we present a quantum parity learning algorithm that exhibits quantum advantage as long as one qubit is provided with nonzero polarization in each query. In this scenario, the quantum parity learning naturally becomes deterministic quantum computation with one qubit. Then the hidden parity function can be revealed by performing a set of operations that can be interpreted as measuring nonlocal observables on the auxiliary result qubit having nonzero polarization and each data qubit. We also discuss the source of the quantum advantage in our algorithm from the resource-theoretic point of view.

Comparing associative, statistical, and inferential reasoning accounts of human contingency learning.

PubMed

Pineño, Oskar; Miller, Ralph R

2007-03-01

For more than two decades, researchers have contrasted the relative merits of associative and statistical theories as accounts of human contingency learning. This debate, still far from resolution, has led to further refinement of models within each family of theories. More recently, a third theoretical view has joined the debate: the inferential reasoning account. The explanations of these three accounts differ critically in many aspects, such as level of analysis and their emphasis on different steps within the information-processing sequence. Also, each account has important advantages (as well as critical flaws) and emphasizes experimental evidence that poses problems to the others. Some hybrid models of human contingency learning have attempted to reconcile certain features of these accounts, thereby benefiting from some of the unique advantages of different families of accounts. A comparison of these families of accounts will help us appreciate the challenges that research on human contingency learning will face over the coming years.

Ensemble learning in fixed expansion layer networks for mitigating catastrophic forgetting.

PubMed

Coop, Robert; Mishtal, Aaron; Arel, Itamar

2013-10-01

Catastrophic forgetting is a well-studied attribute of most parameterized supervised learning systems. A variation of this phenomenon, in the context of feedforward neural networks, arises when nonstationary inputs lead to loss of previously learned mappings. The majority of the schemes proposed in the literature for mitigating catastrophic forgetting were not data driven and did not scale well. We introduce the fixed expansion layer (FEL) feedforward neural network, which embeds a sparsely encoding hidden layer to help mitigate forgetting of prior learned representations. In addition, we investigate a novel framework for training ensembles of FEL networks, based on exploiting an information-theoretic measure of diversity between FEL learners, to further control undesired plasticity. The proposed methodology is demonstrated on a basic classification task, clearly emphasizing its advantages over existing techniques. The architecture proposed can be enhanced to address a range of computational intelligence tasks, such as regression problems and system control.

From philosopher to psychologist: the early career of Edwin Ray Guthrie, Jr.

PubMed

Clark, David O

2005-08-01

Edwin R. Guthrie rose to prominence as a psychologist in the 1930s. His theoretical outlook was behavioristic. This approach came from his conviction that an objective method could be applied to a scientific treatment of mind. Prior to becoming a psychologist, he was a philosopher of mathematics. Guthrie was initiated into psychology by Stevenson Smith, from whom he learned a psychology of adjustment informed by comparative research, Columbia functionalism, and clinical psychology. Guthrie's first step into psychology was in collaboration with Smith on Chapters in General Psychology (S. Smith & E.R. Guthrie, 1921). To synthesize their own unique position on learning from the contemporary theory and research, they used the principle of association. This articles focuses on Guthrie's origin and his development into a learning theorist.

Asymmetry of Neuronal Combinatorial Codes Arises from Minimizing Synaptic Weight Change.

PubMed

Leibold, Christian; Monsalve-Mercado, Mauro M

2016-08-01

Synaptic change is a costly resource, particularly for brain structures that have a high demand of synaptic plasticity. For example, building memories of object positions requires efficient use of plasticity resources since objects can easily change their location in space and yet we can memorize object locations. But how should a neural circuit ideally be set up to integrate two input streams (object location and identity) in case the overall synaptic changes should be minimized during ongoing learning? This letter provides a theoretical framework on how the two input pathways should ideally be specified. Generally the model predicts that the information-rich pathway should be plastic and encoded sparsely, whereas the pathway conveying less information should be encoded densely and undergo learning only if a neuronal representation of a novel object has to be established. As an example, we consider hippocampal area CA1, which combines place and object information. The model thereby provides a normative account of hippocampal rate remapping, that is, modulations of place field activity by changes of local cues. It may as well be applicable to other brain areas (such as neocortical layer V) that learn combinatorial codes from multiple input streams.

Meta-Design and the Triple Learning Organization in Architectural Design Process

NASA Astrophysics Data System (ADS)

Barelkowski, Robert

2017-10-01

The paper delves into the improvement of Meta-Design methodology being the result of implementation of triple learning organization. Grown from the concept of reflective practice, it offers an opportunity to segregate and hierarchize both criteria and knowledge management and at least twofold application. It induces constant feedback loops recharging the basic level of “design” with second level of “learning from design” and third level of “learning from learning”. While learning from design reflects the absorption of knowledge, structuralization of skills, management of information, learning from learning gives deeper understanding and provides axiological perspective which is necessary when combining cultural, social, and abstract conceptual problems. The second level involves multidisciplinary applications imported from many engineering disciplines, technical sciences, but also psychological background, or social environment. The third level confronts these applications with their respective sciences (wide extra-architectural knowledge) and axiological issues. This distinction may be represented in difference between e.g. purposeful, systemic use of participatory design which again generates experience-by-doing versus use of disciplinary knowledge starting from its theoretical framework, then narrowed down to be relevant to particular design task. The paper discusses the application in two cases: awarded competition proposal of Digital Arts Museum in Madrid and BAIRI university building. Both cases summarize the effects of implementation and expose the impact of triple-loop knowledge circles onto design, teaching the architect or helping them to learn how to manage information flows and how to accommodate paradigm shifts in the architectural design process.

Organizational Socialization: A Social Learning Interpretation

DTIC Science & Technology

1982-02-01

approaches to socialization, they lack a clear theoretical basis for understanding and application. This paper proposes a social learning theoretical ... framework . Particular attention is given to the relevancy that modeling and self-control can have for organizational socialization. Specific examples of

How Is Working Memory Training Likely to Influence Academic Performance? Current Evidence and Methodological Considerations.

PubMed

Bergman Nutley, Sissela; Söderqvist, Stina

2017-01-01

Working memory (WM) is one of our core cognitive functions, allowing us to keep information in mind for shorter periods of time and then work with this information. It is the gateway that information has to pass in order to be processed consciously. A well-functioning WM is therefore crucial for a number of everyday activities including learning and academic performance (Gathercole et al., 2003; Bull et al., 2008), which is the focus of this review. Specifically, we will review the research investigating whether improving WM capacity using Cogmed WM training can lead to improvements on academic performance. Emphasis is given to reviewing the theoretical principles upon which such investigations rely, in particular the complex relation between WM and mathematical and reading abilities during development and how these are likely to be influenced by training. We suggest two possible routes in which training can influence academic performance, one through an effect on learning capacity which would thus be evident with time and education, and one through an immediate effect on performance on reading and mathematical tasks. Based on the theoretical complexity described we highlight some methodological issues that are important to take into consideration when designing and interpreting research on WM training and academic performance, but that are nonetheless often overlooked in the current research literature. Finally, we will provide some suggestions for future research for advancing the understanding of WM training and its potential role in supporting academic attainment.

A Theoretical Model of Concept Learning in Economics. Studies in Economic Education, No. 10. Revised Edition.

ERIC Educational Resources Information Center

Lephardt, Noreen E.; Lephardt, George P.

A paradigm for learning economic concepts based on cognitive development and learning theory is offered as a guideline for teaching and research. Discussion is divided into two sections. The first section establishes the model's theoretical framework, which is based on two propositions. The first of these is that economic knowledge is not a fixed…

Lost in Travel or a Different Conception? (Mis-)Appropriation of Transformative Learning Theory in the Republic of Korea

ERIC Educational Resources Information Center

Kang, Dae Joong; Cho, Sungmin

2017-01-01

Theoretical thought on adult and/or lifelong learning in the Republic of Korea has been largely indebted to Western theoretical frameworks in the past few decades. Academic journal articles and doctoral dissertations dealing with the topic of learning in adulthood flooded with Western, typically North American, theories and concepts. Is it indeed…

Development and Validation of an Instrument to Measure Students' Motivation and Self-Regulation in Science Learning

NASA Astrophysics Data System (ADS)

Velayutham, Sunitadevi; Aldridge, Jill; Fraser, Barry

2011-10-01

Students' motivational beliefs and self-regulatory practices have been identified as instrumental in influencing the engagement of students in the learning process. An important aim of science education is to empower students by nurturing the belief that they can succeed in science learning and to cultivate the adaptive learning strategies required to help to bring about that success. This article reports the development and validation of an instrument to measure salient factors related to the motivation and self-regulation of students in lower secondary science classrooms. The development of the instrument involved identifying key determinants of students' motivation and self-regulation in science learning based on theoretical and research underpinnings. Once the instrument was developed, a pilot study involving 52 students from two Grade 8 science classes was undertaken. Quantitative data were collected from 1,360 students in 78 classes across Grades 8, 9, and 10, in addition to in-depth qualitative information gathered from 10 experienced science teachers and 12 Grade 8 students. Analyses of the data suggest that the survey has strong construct validity when used with lower secondary students. This survey could be practically valuable as a tool for gathering information that may guide classroom teachers in refocusing their teaching practices and help to evaluate the effectiveness of intervention programmes.

Complexity in language acquisition.

PubMed

Clark, Alexander; Lappin, Shalom

2013-01-01

Learning theory has frequently been applied to language acquisition, but discussion has largely focused on information theoretic problems-in particular on the absence of direct negative evidence. Such arguments typically neglect the probabilistic nature of cognition and learning in general. We argue first that these arguments, and analyses based on them, suffer from a major flaw: they systematically conflate the hypothesis class and the learnable concept class. As a result, they do not allow one to draw significant conclusions about the learner. Second, we claim that the real problem for language learning is the computational complexity of constructing a hypothesis from input data. Studying this problem allows for a more direct approach to the object of study--the language acquisition device-rather than the learnable class of languages, which is epiphenomenal and possibly hard to characterize. The learnability results informed by complexity studies are much more insightful. They strongly suggest that target grammars need to be objective, in the sense that the primitive elements of these grammars are based on objectively definable properties of the language itself. These considerations support the view that language acquisition proceeds primarily through data-driven learning of some form. Copyright © 2013 Cognitive Science Society, Inc.

Development of a microlesson in teaching energy levels of atoms

NASA Astrophysics Data System (ADS)

Rodriguez, Cherilyn A.; Buan, Amelia T.

2018-01-01

Energy levels of atoms is one of the difficult topics in understanding atomic structure of matter. It appears tobe abstract, theoretical and needs visual representation and images. Hence, in this study a microlesson in teaching the high school chemistry concept on the energy levels of atoms is developed and validated. The researchers utilized backward curriculum design in planning the microlesson to meet the standards of the science K-12 curriculum. The planning process of the microlesson involved a) Identifying the learning competencies in K-12 science curriculum b) write learning objectives c) planning of assessment tools d) making a storyboard e) designing the microlesson and validate and revise the microlesson. The microlesson made use of varied resources in the internet from which the students accessed and collected information about energy levels of atoms. Working in groups, the students synthesized the information on how and why fireworks produce various colors of light through a post card. Findings of the study showed that there was an increase of achievement in learning the content and the students were highly motivated to learn chemistry. Furthermore, the students perceived that the microlesson helped them to understand the chemistry concept through the use of appropriate multimedia activities.

A Living Systems Perspective on Health

PubMed Central

Forrest, Christopher B

2014-01-01

Absence of a theoretical basis for defining health has made it an elusive concept and problematic to measure. This deficiency has precluded a clear delineation of the content of health science as a field. In this manuscript I use a living systems theoretical perspective to distinguish the parts and emergent properties of health. I term the parts of health, “assets,” which include the dimensions of energetics, restoration, mind, reproduction, and capabilities. Health assets interact at the level of the whole person to form integrated and emergent capacities that enable adaptation to environmental challenges, satisfaction of needs, attainment of life goals, and survival. Healthy individuals live long and adapt to and thrive within their environments. As more is learned about the interrelationships among health assets, their influences, their consequences, and how they interact to produce integrated functional capacities, a theoretically grounded and empirically informed ontology of health will emerge. PMID:24368035

Endurance Exercise as an “Endogenous” Neuro-enhancement Strategy to Facilitate Motor Learning

PubMed Central

Taubert, Marco; Villringer, Arno; Lehmann, Nico

2015-01-01

Endurance exercise improves cardiovascular and musculoskeletal function and may also increase the information processing capacities of the brain. Animal and human research from the past decade demonstrated widespread exercise effects on brain structure and function at the systems-, cellular-, and molecular level of brain organization. These neurobiological mechanisms may explain the well-established positive influence of exercise on performance in various behavioral domains but also its contribution to improved skill learning and neuroplasticity. With respect to the latter, only few empirical and theoretical studies are available to date. The aim of this review is (i) to summarize the existing neurobiological and behavioral evidence arguing for endurance exercise-induced improvements in motor learning and (ii) to develop hypotheses about the mechanistic link between exercise and improved learning. We identify major knowledge gaps that need to be addressed by future research projects to advance our understanding of how exercise should be organized to optimize motor learning. PMID:26834602

Multi-Source Multi-Target Dictionary Learning for Prediction of Cognitive Decline.

PubMed

Zhang, Jie; Li, Qingyang; Caselli, Richard J; Thompson, Paul M; Ye, Jieping; Wang, Yalin

2017-06-01

Alzheimer's Disease (AD) is the most common type of dementia. Identifying correct biomarkers may determine pre-symptomatic AD subjects and enable early intervention. Recently, Multi-task sparse feature learning has been successfully applied to many computer vision and biomedical informatics researches. It aims to improve the generalization performance by exploiting the shared features among different tasks. However, most of the existing algorithms are formulated as a supervised learning scheme. Its drawback is with either insufficient feature numbers or missing label information. To address these challenges, we formulate an unsupervised framework for multi-task sparse feature learning based on a novel dictionary learning algorithm. To solve the unsupervised learning problem, we propose a two-stage Multi-Source Multi-Target Dictionary Learning (MMDL) algorithm. In stage 1, we propose a multi-source dictionary learning method to utilize the common and individual sparse features in different time slots. In stage 2, supported by a rigorous theoretical analysis, we develop a multi-task learning method to solve the missing label problem. Empirical studies on an N = 3970 longitudinal brain image data set, which involves 2 sources and 5 targets, demonstrate the improved prediction accuracy and speed efficiency of MMDL in comparison with other state-of-the-art algorithms.

Game-Based Learning in Science Education: A Review of Relevant Research

NASA Astrophysics Data System (ADS)

Li, Ming-Chaun; Tsai, Chin-Chung

2013-12-01

The purpose of this study is to review empirical research articles regarding game-based science learning (GBSL) published from 2000 to 2011. Thirty-one articles were identified through the Web of Science and SCOPUS databases. A qualitative content analysis technique was adopted to analyze the research purposes and designs, game design and implementation, theoretical backgrounds and learning foci of these reviewed studies. The theories and models employed by these studies were classified into four theoretical foundations including cognitivism, constructivism, the socio-cultural perspective, and enactivism. The results indicate that cognitivism and constructivism were the major theoretical foundations employed by the GBSL researchers and that the socio-cultural perspective and enactivism are two emerging theoretical paradigms that have started to draw attention from GBSL researchers in recent years. The analysis of the learning foci showed that most of the digital games were utilized to promote scientific knowledge/concept learning, while less than one-third were implemented to facilitate the students' problem-solving skills. Only a few studies explored the GBSL outcomes from the aspects of scientific processes, affect, engagement, and socio-contextual learning. Suggestions are made to extend the current GBSL research to address the affective and socio-contextual aspects of science learning. The roles of digital games as tutor, tool, and tutee for science education are discussed, while the potentials of digital games to bridge science learning between real and virtual worlds, to promote collaborative problem-solving, to provide affective learning environments, and to facilitate science learning for younger students are also addressed.

A Critical Review of the Use of Wenger's Community of Practice (CoP) Theoretical Framework in Online and Blended Learning Research, 2000-2014

ERIC Educational Resources Information Center

Smith, Sedef Uzuner; Hayes, Suzanne; Shea, Peter

2017-01-01

After presenting a brief overview of the key elements that underpin Etienne Wenger's communities of practice (CoP) theoretical framework, one of the most widely cited and influential conceptions of social learning, this paper reviews extant empirical work grounded in this framework to investigate online/blended learning in higher education and in…

Precise segmentation of multiple organs in CT volumes using learning-based approach and information theory.

PubMed

Lu, Chao; Zheng, Yefeng; Birkbeck, Neil; Zhang, Jingdan; Kohlberger, Timo; Tietjen, Christian; Boettger, Thomas; Duncan, James S; Zhou, S Kevin

2012-01-01

In this paper, we present a novel method by incorporating information theory into the learning-based approach for automatic and accurate pelvic organ segmentation (including the prostate, bladder and rectum). We target 3D CT volumes that are generated using different scanning protocols (e.g., contrast and non-contrast, with and without implant in the prostate, various resolution and position), and the volumes come from largely diverse sources (e.g., diseased in different organs). Three key ingredients are combined to solve this challenging segmentation problem. First, marginal space learning (MSL) is applied to efficiently and effectively localize the multiple organs in the largely diverse CT volumes. Second, learning techniques, steerable features, are applied for robust boundary detection. This enables handling of highly heterogeneous texture pattern. Third, a novel information theoretic scheme is incorporated into the boundary inference process. The incorporation of the Jensen-Shannon divergence further drives the mesh to the best fit of the image, thus improves the segmentation performance. The proposed approach is tested on a challenging dataset containing 188 volumes from diverse sources. Our approach not only produces excellent segmentation accuracy, but also runs about eighty times faster than previous state-of-the-art solutions. The proposed method can be applied to CT images to provide visual guidance to physicians during the computer-aided diagnosis, treatment planning and image-guided radiotherapy to treat cancers in pelvic region.

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

PubMed

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

2014-11-01

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

Education, Technology and Health Literacy.

PubMed

Lindgren, Kurt; Koldkjær Sølling, Ina; Carøe, Per; Siggaard Mathiesen, Kirsten

2015-01-01

The purpose of this study is to develop an interdisciplinary learning environment between education in technology, business, and nursing. This collaboration creates natural interest and motivation for welfare technology. The aim of establishing an interaction between these three areas of expertise is to create an understanding of skills and cultural differences in each area. Futhermore, the aim is to enable future talents to gain knowledge and skills to improve health literacy among senior citizens. Based on a holistic view of welfare technology, a Student Academy was created as a theoretically- and practically-oriented learning center. The mission of the Student Academy is to support and facilitate education in order to maintain and upgrade knowledge and skills in information technology and information management related to e-health and health literacy. The Student Academy inspires students, stakeholders, politicians, DanAge Association members, companies, and professionals to participate in training, projects, workshops, and company visits.

Practical characterization of quantum devices without tomography

NASA Astrophysics Data System (ADS)

Landon-Cardinal, Olivier; Flammia, Steven; Silva, Marcus; Liu, Yi-Kai; Poulin, David

2012-02-01

Quantum tomography is the main method used to assess the quality of quantum information processing devices, but its complexity presents a major obstacle for the characterization of even moderately large systems. Part of the reason for this complexity is that tomography generates much more information than is usually sought. Taking a more targeted approach, we develop schemes that enable (i) estimating the ?delity of an experiment to a theoretical ideal description, (ii) learning which description within a reduced subset best matches the experimental data. Both these approaches yield a signi?cant reduction in resources compared to tomography. In particular, we show how to estimate the ?delity between a predicted pure state and an arbitrary experimental state using only a constant number of Pauli expectation values selected at random according to an importance-weighting rule. In addition, we propose methods for certifying quantum circuits and learning continuous-time quantum dynamics that are described by local Hamiltonians or Lindbladians.

An Integrative Professional Theory and Practice Paper: Personal Reflections from the Journey through Clinical Pastoral Education.

PubMed

McLean, Gillian

2015-12-01

CPE is an experience-based approach to learning spiritual care which combines clinical care with qualified supervision, in-class education and group reflection (CASC--http://www.spiritualcare.ca/). Through didactic seminars, group presentations and personal reading there is opportunity for the student to acquire, apply and integrate relevant theoretical information into their practice. Written for my CPE Specialist application, this paper describes how, through the course of advanced CPE education, I learn to utilize and integrate theory into my clinical work. Beginning with three strands--authenticity, listening and storytelling--I then discuss how the behavioural sciences and theology inform my practice. Focusing on empathy, I speak of the application of disclosure, the use of counter-transference as a diagnostic tool, and the place of therapeutic termination. Group theory, family systems theory, theological reflection, liturgical ministry, and multi-faith practices are considered. © The Author(s) 2015.

Mutual information, neural networks and the renormalization group

NASA Astrophysics Data System (ADS)

Koch-Janusz, Maciej; Ringel, Zohar

2018-06-01

Physical systems differing in their microscopic details often display strikingly similar behaviour when probed at macroscopic scales. Those universal properties, largely determining their physical characteristics, are revealed by the powerful renormalization group (RG) procedure, which systematically retains `slow' degrees of freedom and integrates out the rest. However, the important degrees of freedom may be difficult to identify. Here we demonstrate a machine-learning algorithm capable of identifying the relevant degrees of freedom and executing RG steps iteratively without any prior knowledge about the system. We introduce an artificial neural network based on a model-independent, information-theoretic characterization of a real-space RG procedure, which performs this task. We apply the algorithm to classical statistical physics problems in one and two dimensions. We demonstrate RG flow and extract the Ising critical exponent. Our results demonstrate that machine-learning techniques can extract abstract physical concepts and consequently become an integral part of theory- and model-building.

Multi-Agent Inference in Social Networks: A Finite Population Learning Approach.

PubMed

Fan, Jianqing; Tong, Xin; Zeng, Yao

When people in a society want to make inference about some parameter, each person may want to use data collected by other people. Information (data) exchange in social networks is usually costly, so to make reliable statistical decisions, people need to trade off the benefits and costs of information acquisition. Conflicts of interests and coordination problems will arise in the process. Classical statistics does not consider people's incentives and interactions in the data collection process. To address this imperfection, this work explores multi-agent Bayesian inference problems with a game theoretic social network model. Motivated by our interest in aggregate inference at the societal level, we propose a new concept, finite population learning , to address whether with high probability, a large fraction of people in a given finite population network can make "good" inference. Serving as a foundation, this concept enables us to study the long run trend of aggregate inference quality as population grows.

Is the learn unit a fundamental measure of pedagogy?

PubMed Central

Greer, R. Douglas; McDonough, Sally Hogin

1999-01-01

We propose a measure of teaching, the learn unit, that explicitly describes the interaction between teachers and their students. The theoretical, educational research, and applied behavior analysis literatures all converge on the learn unit as a fundamental measure of teaching. The theoretical literature proposes the construct of the interlocking operant and embraces verbal behavior, social interaction, and translations of psychological constructs into complex theoretical respondent-operant interactions and behavior-behavior relations. Research findings in education and applied behavior analysis on engaged academic time, opportunity to respond, active student responding, teacher-student responding, student-teacher responding, tutor-tutee responding, tutee-tutor responding, and verbal episodes between individuals all support a measure of interlocking responses. More recently, research analyzing the components of both the students' and teachers' behavior suggests that the learn unit is the strongest predictor of effective teaching. Finally, we propose applications of the learn unit to other issues in pedagogy not yet researched and the relation of learn units to the verbal behavior of students. PMID:22478317

Learning comunication strategies for distributed artificial intelligence

NASA Astrophysics Data System (ADS)

Kinney, Michael; Tsatsoulis, Costas

1992-08-01

We present a methodology that allows collections of intelligent system to automatically learn communication strategies, so that they can exchange information and coordinate their problem solving activity. In our methodology communication between agents is determined by the agents themselves, which consider the progress of their individual problem solving activities compared to the communication needs of their surrounding agents. Through learning, communication lines between agents might be established or disconnected, communication frequencies modified, and the system can also react to dynamic changes in the environment that might force agents to cease to exist or to be added. We have established dynamic, quantitative measures of the usefulness of a fact, the cost of a fact, the work load of an agent, and the selfishness of an agent (a measure indicating an agent's preference between transmitting information versus performing individual problem solving), and use these values to adapt the communication between intelligent agents. In this paper we present the theoretical foundations of our work together with experimental results and performance statistics of networks of agents involved in cooperative problem solving activities.

Distance learning in academic health education.

PubMed

Mattheos, N; Schittek, M; Attström, R; Lyon, H C

2001-05-01

Distance learning is an apparent alternative to traditional methods in education of health care professionals. Non-interactive distance learning, interactive courses and virtual learning environments exist as three different generations in distance learning, each with unique methodologies, strengths and potential. Different methodologies have been recommended for distance learning, varying from a didactic approach to a problem-based learning procedure. Accreditation, teamwork and personal contact between the tutors and the students during a course provided by distance learning are recommended as motivating factors in order to enhance the effectiveness of the learning. Numerous assessment methods for distance learning courses have been proposed. However, few studies report adequate tests for the effectiveness of the distance-learning environment. Available information indicates that distance learning may significantly decrease the cost of academic health education at all levels. Furthermore, such courses can provide education to students and professionals not accessible by traditional methods. Distance learning applications still lack the support of a solid theoretical framework and are only evaluated to a limited extent. Cases reported so far tend to present enthusiastic results, while more carefully-controlled studies suggest a cautious attitude towards distance learning. There is a vital need for research evidence to identify the factors of importance and variables involved in distance learning. The effectiveness of distance learning courses, especially in relation to traditional teaching methods, must therefore be further investigated.

Does technology help doctors to access, use and share knowledge?

PubMed

Bullock, Alison

2014-01-01

Given the power and pervasiveness of technology, this paper considers whether it can help doctors to access, use and share knowledge and thus contribute to their ability to uphold the part of the Hippocratic Oath concerned with respecting 'the hard-won scientific gains of those physicians in whose steps I walk' and sharing 'such knowledge as is mine with those who are to follow'. How technology supports connections between doctors and knowledge is considered by focusing on the use of mobile technology in the workplace and Web 2.0 tools. Sfard's 'acquisition' and 'participation' models are employed to help develop an understanding of what these uses of technology mean for learning and knowledge sharing. The employment of technology is not neutral in its effects. Issues relate to knowledge ownership, information overload, quality control and interpretations attached to the use of mobile devices in the workplace. These issues raise deeper questions about the nature of knowledge and social theory and socio-material research questions about the effect of technology on workplace learning. Although the empirical and theoretical evidence presented shows how technology has clear potential to contribute both to accessing evidence and sharing knowledge, there is need for further research that applies theoretical frameworks to the analysis of the impact of technology on workplace learning. © 2013 John Wiley & Sons Ltd.

Short-term memory for serial order supports vocabulary development: new evidence from a novel word learning paradigm.

PubMed

Majerus, Steve; Boukebza, Claire

2013-12-01

Although recent studies suggest a strong association between short-term memory (STM) for serial order and lexical development, the precise mechanisms linking the two domains remain to be determined. This study explored the nature of these mechanisms via a microanalysis of performance on serial order STM and novel word learning tasks. In the experiment, 6- and 7-year-old children were administered tasks maximizing STM for either item or serial order information as well as paired-associate learning tasks involving the learning of novel words, visual symbols, or familiar word pair associations. Learning abilities for novel words were specifically predicted by serial order STM abilities. A measure estimating the precision of serial order coding predicted the rate of correct repetitions and the rate of phoneme migration errors during the novel word learning process. In line with recent theoretical accounts, these results suggest that serial order STM supports vocabulary development via ordered and detailed reactivation of the novel phonological sequences that characterize new words. Copyright © 2013 Elsevier Inc. All rights reserved.

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

PubMed

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

2013-05-01

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

Nurse education and convergent information technologies.

PubMed

Howard, B

This article concerns one of the main problems facing nurse education, that of meeting individualised learner needs. This endeavour is inescapable because of current trends in the curriculum, trends towards continuous assessment and more recently, advice from the English National Board (ENB) regarding continuous theoretical assessment. Computer assisted learning, it is suggested, can be helpful in nurturing individual learner progress. Sophisticated technologies are available to educationalists which develop individual learning strategies, but the cost of producing the necessary courseware is high, both in terms of money and tutor time. Hopefully a solution has been found as a project has been funded and is being run by the ENB allowing tutors to develop skills in this area of education.

The combining of multiple hemispheric resources in learning-disabled and skilled readers' recall of words: a test of three information-processing models.

PubMed

Swanson, H L

1987-01-01

Three theoretical models (additive, independence, maximum rule) that characterize and predict the influence of independent hemispheric resources on learning-disabled and skilled readers' simultaneous processing were tested. Predictions related to word recall performance during simultaneous encoding conditions (dichotic listening task) were made from unilateral (dichotic listening task) presentations. The maximum rule model best characterized both ability groups in that simultaneous encoding produced no better recall than unilateral presentations. While the results support the hypothesis that both ability groups use similar processes in the combining of hemispheric resources (i.e., weak/dominant processing), ability group differences do occur in the coordination of such resources.

Effects of additional data on Bayesian clustering.

PubMed

Yamazaki, Keisuke

2017-10-01

Hierarchical probabilistic models, such as mixture models, are used for cluster analysis. These models have two types of variables: observable and latent. In cluster analysis, the latent variable is estimated, and it is expected that additional information will improve the accuracy of the estimation of the latent variable. Many proposed learning methods are able to use additional data; these include semi-supervised learning and transfer learning. However, from a statistical point of view, a complex probabilistic model that encompasses both the initial and additional data might be less accurate due to having a higher-dimensional parameter. The present paper presents a theoretical analysis of the accuracy of such a model and clarifies which factor has the greatest effect on its accuracy, the advantages of obtaining additional data, and the disadvantages of increasing the complexity. Copyright © 2017 Elsevier Ltd. All rights reserved.

A framework for the management of intellectual capital in the health care industry.

PubMed

Grantham, C E; Nichols, L D; Schonberner, M

1997-01-01

This article proposes a new theoretical model for the effective management of intellectual capital in the health care industry. The evolution of knowledge-based resources as a value-adding characteristic of service industries coupled with mounting environmental pressures on health care necessitates the extension of current models of intellectual capital. Our theoretical model contains an expanded context linking its development to organizational learning theory and extends current theory by proposing a six-term archetype of organizational functioning built on flows of information. Further, our proposal offers a hierarchical dimension to intellectual capital and a method of scientific visualization for the measurement of intellectual capital. In conclusion, we offer some practical suggestions for future development, both for researchers and managers.

Theoretical Perspectives on Sibling Relationships

PubMed Central

Whiteman, Shawn D.; McHale, Susan M.; Soli, Anna

2011-01-01

Although siblings are a fixture of family life, research on sibling relationships lags behind that on other family relationships. To stimulate interest in sibling research and to serve as a guide for future investigations by family scholars, we review four theoretical psychologically oriented perspectives—(a) psychoanalytic-evolutionary, (b) social psychological, (c) social learning, and (d) family-ecological systems—that can inform research on sibling relationships, including perspectives on the nature and influences on developmental, individual, and group differences in sibling relationships. Given that most research on siblings has focused on childhood and adolescence, our review highlights these developmental periods, but we also incorporate the limited research on adult sibling relationships, including in formulating suggestions for future research on this fundamental family relationship. PMID:21731581

A Theoretical Perspective of Learning in the Pacific Context: A Sociocultural Perspective

ERIC Educational Resources Information Center

Phan, Huy P.

2010-01-01

This theoretical article discusses the importance of learning approaches in sociocultural contexts. Our discussion synthesizes previous empirical research studies, taking into consideration the importance of individuals' cultural background and environmental settings. Research studies by Marton and Saljo (1976) and others (Biggs, 1987; Watkins…

Educational Communities of Inquiry: Theoretical Framework, Research and Practice

ERIC Educational Resources Information Center

Akyol, Zehra; Garrison, D. Randy

2013-01-01

Communications technologies have been continuously integrated into learning and training environments which has revealed the need for a clear understanding of the process. The Community of Inquiry (COI) Theoretical Framework has a philosophical foundation which provides planned guidelines and principles to development useful learning environments…

Learning and exploration in action-perception loops.

PubMed

Little, Daniel Y; Sommer, Friedrich T

2013-01-01

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

Knowledge mobilisation in healthcare: a critical review of health sector and generic management literature.

PubMed

Ferlie, Ewan; Crilly, Tessa; Jashapara, Ashok; Peckham, Anna

2012-04-01

The health policy domain has displayed increasing interest in questions of knowledge management and knowledge mobilisation within healthcare organisations. We analyse here the findings of a critical review of generic management and health-related literatures, covering the period 2000-2008. Using 29 pre-selected journals, supplemented by a search of selected electronic databases, we map twelve substantive domains classified into four broad groups: taxonomic and philosophical (e.g. different types of knowledge); theoretical discourse (e.g. critical organisational studies); disciplinary fields (e.g. organisational learning and Information Systems/Information Technology); and organisational processes and structures (e.g. organisational form). We explore cross-overs and gaps between these traditionally separate literature streams. We found that health sector literature has absorbed some generic concepts, notably Communities of Practice, but has not yet deployed the performance-oriented perspective of the Resource Based View (RBV) of the Firm. The generic literature uses healthcare sites to develop critical analyses of power and control in knowledge management, rooted in neo-Marxist/labour process and Foucauldian approaches. The review generates three theoretically grounded statements to inform future enquiry, by: (a) importing the RBV stream; (b) developing the critical organisational studies perspective further; and (c) exploring the theoretical argument that networks and other alternative organisational forms facilitate knowledge sharing. Copyright © 2012 Elsevier Ltd. All rights reserved.

Active learning in camera calibration through vision measurement application

NASA Astrophysics Data System (ADS)

Li, Xiaoqin; Guo, Jierong; Wang, Xianchun; Liu, Changqing; Cao, Binfang

2017-08-01

Since cameras are increasingly more used in scientific application as well as in the applications requiring precise visual information, effective calibration of such cameras is getting more important. There are many reasons why the measurements of objects are not accurate. The largest reason is that the lens has a distortion. Another detrimental influence on the evaluation accuracy is caused by the perspective distortions in the image. They happen whenever we cannot mount the camera perpendicularly to the objects we want to measure. In overall, it is very important for students to understand how to correct lens distortions, that is camera calibration. If the camera is calibrated, the images are rectificated, and then it is possible to obtain undistorted measurements in world coordinates. This paper presents how the students should develop a sense of active learning for mathematical camera model besides the theoretical scientific basics. The authors will present the theoretical and practical lectures which have the goal of deepening the students understanding of the mathematical models of area scan cameras and building some practical vision measurement process by themselves.

Science in the community: An ethnographic account of social material transformation

NASA Astrophysics Data System (ADS)

Lee, Stuart Henry

This dissertation is about the learning and use of science at the level of local community. It is an ethnographic account, and its theoretical approach draws on actor-network theory as well as neo-Marxist practice theory and the related notion of situated cognition. This theoretical basis supports a work that focuses on the many heterogeneous transformations that materials and people undergo as science is used to help bring about social and political change in a quasi-rural community. The activities that science becomes involved in, and the hybrid formations as it encounters local issues are stressed. Learning and knowing as outcomes of community action are theorized. The dissertation links four major themes throughout its narrative: scientific literacy, representations, relationships and participatory democracy. These four themes are not treated in isolation. Different facets of their relation to each other are stressed in different chapters, each of which analyze different particular case studies. This dissertation argues for the conception of a local scientific praxis, one that is markedly different than the usual notion of science, yet is necessary for the uptake of scientific information into a community.

Cognitive control predicts use of model-based reinforcement learning.

PubMed

Otto, A Ross; Skatova, Anya; Madlon-Kay, Seth; Daw, Nathaniel D

2015-02-01

Accounts of decision-making and its neural substrates have long posited the operation of separate, competing valuation systems in the control of choice behavior. Recent theoretical and experimental work suggest that this classic distinction between behaviorally and neurally dissociable systems for habitual and goal-directed (or more generally, automatic and controlled) choice may arise from two computational strategies for reinforcement learning (RL), called model-free and model-based RL, but the cognitive or computational processes by which one system may dominate over the other in the control of behavior is a matter of ongoing investigation. To elucidate this question, we leverage the theoretical framework of cognitive control, demonstrating that individual differences in utilization of goal-related contextual information--in the service of overcoming habitual, stimulus-driven responses--in established cognitive control paradigms predict model-based behavior in a separate, sequential choice task. The behavioral correspondence between cognitive control and model-based RL compellingly suggests that a common set of processes may underpin the two behaviors. In particular, computational mechanisms originally proposed to underlie controlled behavior may be applicable to understanding the interactions between model-based and model-free choice behavior.

Capturing the Transformation and Dynamic Nature of an Elementary Teacher Candidate's Identity Development as a Teacher of Science

NASA Astrophysics Data System (ADS)

Naidoo, Kara

2017-12-01

This study examines the transformation and dynamic nature of one teacher candidate's (Susan) identity as a learner and teacher of science throughout an innovative science methods course. The goal of this paper is to use theoretically derived themes grounded in cultural-historical activity theory (CHAT) and situated learning theory to determine the ways in which Susan's identity as a learner and teacher of science was influenced by her experiences in the course, and to describe how she made meaning of her transformative process. The following are the three theoretical themes: (1) learning contributes to identity development, (2) identity development is a dialogical process that occurs between individuals, not within individuals, and (3) social practice leads to transformations and transformations lead to the creation of new social practices. Within each theme, specific experiences in the science methods course are identified that influenced Susan's identity development as a teacher of science. Knowing how context and experiences influence identity development can inform design decisions concerning teacher education programs, courses, and experiences for candidates.

Thermodynamics of statistical inference by cells.

PubMed

Lang, Alex H; Fisher, Charles K; Mora, Thierry; Mehta, Pankaj

2014-10-03

The deep connection between thermodynamics, computation, and information is now well established both theoretically and experimentally. Here, we extend these ideas to show that thermodynamics also places fundamental constraints on statistical estimation and learning. To do so, we investigate the constraints placed by (nonequilibrium) thermodynamics on the ability of biochemical signaling networks to estimate the concentration of an external signal. We show that accuracy is limited by energy consumption, suggesting that there are fundamental thermodynamic constraints on statistical inference.

Feed Forward Programming of Car Drivers’ Eye Movement Behavior. A System Theoretical Approach. Volume 1

DTIC Science & Technology

1980-02-01

Standardization February 1980 13. NUMBER OF PAGES Group ( UK ), Box 65, FPO New York 09510 216 14. MONITORING AGENCY NAME A ADDRESS(I differmt bar...with lateral information input, s they- xate on the road’s lines frequently. Beginners, as driving tiea - chers report, have great difficulties in...perceptual system. Boston, Houghton Mifflin Co., 1966. GIBSON, J.J.: Principles of perceptual learning and develop- ment. New Jersey , Prentice Hall Inc

A Unified Theoretical Framework for Cognitive Sequencing.

PubMed

Savalia, Tejas; Shukla, Anuj; Bapi, Raju S

2016-01-01

The capacity to sequence information is central to human performance. Sequencing ability forms the foundation stone for higher order cognition related to language and goal-directed planning. Information related to the order of items, their timing, chunking and hierarchical organization are important aspects in sequencing. Past research on sequencing has emphasized two distinct and independent dichotomies: implicit vs. explicit and goal-directed vs. habits. We propose a theoretical framework unifying these two streams. Our proposal relies on brain's ability to implicitly extract statistical regularities from the stream of stimuli and with attentional engagement organizing sequences explicitly and hierarchically. Similarly, sequences that need to be assembled purposively to accomplish a goal require engagement of attentional processes. With repetition, these goal-directed plans become habits with concomitant disengagement of attention. Thus, attention and awareness play a crucial role in the implicit-to-explicit transition as well as in how goal-directed plans become automatic habits. Cortico-subcortical loops basal ganglia-frontal cortex and hippocampus-frontal cortex loops mediate the transition process. We show how the computational principles of model-free and model-based learning paradigms, along with a pivotal role for attention and awareness, offer a unifying framework for these two dichotomies. Based on this framework, we make testable predictions related to the potential influence of response-to-stimulus interval (RSI) on developing awareness in implicit learning tasks.

A Unified Theoretical Framework for Cognitive Sequencing

PubMed Central

Savalia, Tejas; Shukla, Anuj; Bapi, Raju S.

2016-01-01

The capacity to sequence information is central to human performance. Sequencing ability forms the foundation stone for higher order cognition related to language and goal-directed planning. Information related to the order of items, their timing, chunking and hierarchical organization are important aspects in sequencing. Past research on sequencing has emphasized two distinct and independent dichotomies: implicit vs. explicit and goal-directed vs. habits. We propose a theoretical framework unifying these two streams. Our proposal relies on brain's ability to implicitly extract statistical regularities from the stream of stimuli and with attentional engagement organizing sequences explicitly and hierarchically. Similarly, sequences that need to be assembled purposively to accomplish a goal require engagement of attentional processes. With repetition, these goal-directed plans become habits with concomitant disengagement of attention. Thus, attention and awareness play a crucial role in the implicit-to-explicit transition as well as in how goal-directed plans become automatic habits. Cortico-subcortical loops basal ganglia-frontal cortex and hippocampus-frontal cortex loops mediate the transition process. We show how the computational principles of model-free and model-based learning paradigms, along with a pivotal role for attention and awareness, offer a unifying framework for these two dichotomies. Based on this framework, we make testable predictions related to the potential influence of response-to-stimulus interval (RSI) on developing awareness in implicit learning tasks. PMID:27917146

A Sociocultural Perspective of Learning: Developing a New Theoretical Tenet

ERIC Educational Resources Information Center

Phan, Huy P.

2012-01-01

Explanation pertaining to individuals' cognitive development and learning approaches is a recurring theme in the areas of education and psychology. The work of Okagaki (e.g., Okagaki, 2001; Okagaki & Frensch, 1998), for example, has provided both theoretical and empirical insights into the structuring and situational positioning of individuals…

Beyond the Language Classroom

ERIC Educational Resources Information Center

Benson, Phil, Ed.; Reinders, Hayo, Ed.

2011-01-01

This comprehensive exploration of theoretical and practical aspects of out-of-class teaching and learning, from a variety of perspectives and in various settings around the world, includes a theoretical overview of the field, 11 data-based case studies, and practical advice on materials development for independent learning. Contents of this book…

Collaborative Learning: Theoretical Foundations and Applicable Strategies to University

ERIC Educational Resources Information Center

Roselli, Nestor D.

2016-01-01

Collaborative learning is a construct that identifies a current strong field, both in face-to-face and virtual education. Firstly, three converging theoretical sources are analyzed: socio-cognitive conflict theory, intersubjectivity theory and distributed cognition theory. Secondly, a model of strategies that can be implemented by teachers to…

Design 2000: Theory-Based Design Models of the Future.

ERIC Educational Resources Information Center

Richey, Rita C.

The influence of theory on instructional-design models of the future is explored on the basis of the theoretical developments of today. Anticipated model changes are expected to result from disparate theoretical thinking in areas such as chaos theory, constructivism, situated learning, cognitive-learning theory, and general systems theory.…

Reciprocal and Scholarly Service Learning: Emergent Theoretical Understandings of the University-Community Interface in South Africa

ERIC Educational Resources Information Center

Smith-Tolken, Antoinette; Bitzer, Eli

2017-01-01

This study addresses underlying principles to interpret scholarly-based service-related teaching and learning. Such principles include addressing specific concerns of communities, transforming theoretical knowledge into lived experiences for students, making the knowledge generated within communities meaningful and forging constant growth and…

Classifying syndromes in Chinese medicine using multi-label learning algorithm with relevant features for each label.

PubMed

Xu, Jin; Xu, Zhao-Xia; Lu, Ping; Guo, Rui; Yan, Hai-Xia; Xu, Wen-Jie; Wang, Yi-Qin; Xia, Chun-Ming

2016-11-01

To develop an effective Chinese Medicine (CM) diagnostic model of coronary heart disease (CHD) and to confifirm the scientifific validity of CM theoretical basis from an algorithmic viewpoint. Four types of objective diagnostic data were collected from 835 CHD patients by using a self-developed CM inquiry scale for the diagnosis of heart problems, a tongue diagnosis instrument, a ZBOX-I pulse digital collection instrument, and the sound of an attending acquisition system. These diagnostic data was analyzed and a CM diagnostic model was established using a multi-label learning algorithm (REAL). REAL was employed to establish a Xin (Heart) qi defificiency, Xin yang defificiency, Xin yin defificiency, blood stasis, and phlegm fifive-card CM diagnostic model, which had recognition rates of 80.32%, 89.77%, 84.93%, 85.37%, and 69.90%, respectively. The multi-label learning method established using four diagnostic models based on mutual information feature selection yielded good recognition results. The characteristic model parameters were selected by maximizing the mutual information for each card type. The four diagnostic methods used to obtain information in CM, i.e., observation, auscultation and olfaction, inquiry, and pulse diagnosis, can be characterized by these parameters, which is consistent with CM theory.

Learning with Web Tools, Simulations, and Other Technologies in Science Classrooms

NASA Astrophysics Data System (ADS)

Campbell, Todd; Wang, Shaing Kwei; Hsu, Hui-Yin; Duffy, Aaron M.; Wolf, Paul G.

2010-10-01

This position paper proposes the enhancement of teacher and student learning in science classrooms by tapping the enormous potential of information communication and technologies (ICTs) as cognitive tools for engaging students in scientific inquiry. This paper serves to challenge teacher-held assumptions about students learning science `from technology' with a framework and examples of students learning science `with technology'. Whereas a high percentage of students are finding their way in using ICTs outside of school, for the most part they currently are not doing so inside of school in ways that they find meaningful and relevant to their lives. Instead, the pedagogical approaches that are most often experienced are out-of-step with how students use ICTs outside of schools and are not supportive of learning framed by constructivism. Here we describe a theoretical and pedagogical foundation for better connecting the two worlds of students' lives: life in school and life outside of school. This position paper is in response to the changing landscape of students' lives. The position is transformative in nature because it proposes the use of cyber-enabled resources for cultivating and leveraging students new literacy skills by learning `with technology' to enhance science learning.

Evolution of Theoretical Perspectives in My Research

NASA Astrophysics Data System (ADS)

Otero, Valerie K.

2009-11-01

Over the past 10 years I have been using socio-cultural theoretical perspectives to understand how people learn physics in a highly interactive, inquiry-based physics course such as Physics and Everyday Thinking [1]. As a result of using various perspectives (e.g. Distributed Cognition and Vygotsky's Theory of Concept Formation), my understanding of how these perspectives can be useful for investigating students' learning processes has changed. In this paper, I illustrate changes in my thinking about the role of socio-cultural perspectives in understanding physics learning and describe elements of my thinking that have remained fairly stable. Finally, I will discuss pitfalls in the use of certain perspectives and discuss areas that need attention in theoretical development for PER.

Unconditional security from noisy quantum storage

NASA Astrophysics Data System (ADS)

Wehner, Stephanie

2010-03-01

We consider the implementation of two-party cryptographic primitives based on the sole physical assumption that no large-scale reliable quantum storage is available to the cheating party. An important example of such a task is secure identification. Here, Alice wants to identify herself to Bob (possibly an ATM machine) without revealing her password. More generally, Alice and Bob wish to solve problems where Alice holds an input x (e.g. her password), and Bob holds an input y (e.g. the password an honest Alice should possess), and they want to obtain the value of some function f(x,y) (e.g. the equality function). Security means that the legitimate users should not learn anything beyond this specification. That is, Alice should not learn anything about y and Bob should not learn anything about x, other than what they may be able to infer from the value of f(x,y). We show that any such problem can be solved securely in the noisy-storage model by constructing protocols for bit commitment and oblivious transfer, where we prove security against the most general attack. Our protocols can be implemented with present-day hardware used for quantum key distribution. In particular, no quantum storage is required for the honest parties. Our work raises a large number of immediate theoretical as well as experimental questions related to many aspects of quantum information science, such as for example understanding the information carrying properties of quantum channels and memories, randomness extraction, min-entropy sampling, as well as constructing small handheld devices which are suitable for the task of secure identification. [4pt] Full version available at arXiv:0906.1030 (theoretical) and arXiv:0911.2302 (practically oriented).

A Philosophically Informed Teaching Proposal on the Topic of Energy for Students Aged 11-14

NASA Astrophysics Data System (ADS)

Papadouris, Nicos; Constantinou, Constantinos P.

2011-10-01

Learning about energy is recognized as an important objective of science teaching starting from the elementary school. This creates the need for teaching simplifications that compromise the abstract nature of this concept with students' need for a satisfactory qualitative definition. Conventional teaching approaches have failed to respond to this need in a productive manner. In an attempt to maintain consistency with how energy is understood in physics, they tend to either provide abstract definitions or bypass the question what is energy?, which is vitally important to students. In this paper, we describe the epistemological barriers that are inherent in conventional attempts to introduce energy as a physical quantity and we suggest that shifting the discussion to a philosophically-oriented context could provide a means to address them in a productive manner. We propose a teaching approach, for students in the age range 11-14, that introduces energy as an entity in a theoretical framework that is invented and gradually elaborated in an attempt to analyze the behavior of diverse physical systems, and especially the various changes they undergo, using a coherent perspective. This theoretical framework provides an epistemologically appropriate context that lends meaning to energy and its various features (i.e. transfer, form conversion, conservation and degradation). We argue that this philosophically informed teaching transformation provides a possible means to overcome the various shortcomings that typically characterize attempts to introduce and elaborate the construct of energy while at the same time it allows integrating, in a meaningful and coherent manner, learning objectives relevant to the understanding of the Nature of Science (NOS), which is recognized as a valuable component of learning in science. In this paper, we outline the rationale underlying this teaching approach and describe a proposed activity sequence that illustrates our proposal.

Mobile Medical Education (MoMEd) - how mobile information resources contribute to learning for undergraduate clinical students - a mixed methods study.

PubMed

Davies, Bethany S; Rafique, Jethin; Vincent, Tim R; Fairclough, Jil; Packer, Mark H; Vincent, Richard; Haq, Inam

2012-01-12

Mobile technology is increasingly being used by clinicians to access up-to-date information for patient care. These offer learning opportunities in the clinical setting for medical students but the underlying pedagogic theories are not clear. A conceptual framework is needed to understand these further. Our initial questions were how the medical students used the technology, how it enabled them to learn and what theoretical underpinning supported the learning. 387 medical students were provided with a personal digital assistant (PDA) loaded with medical resources for the duration of their clinical studies. Outcomes were assessed by a mixed-methods triangulation approach using qualitative and quantitative analysis of surveys, focus groups and usage tracking data. Learning occurred in context with timely access to key facts and through consolidation of knowledge via repetition. The PDA was an important addition to the learning ecology rather than a replacement. Contextual factors impacted on use both positively and negatively. Barriers included concerns of interrupting the clinical interaction and of negative responses from teachers and patients. Students preferred a future involving smartphone platforms. This is the first study to describe the learning ecology and pedagogic basis behind the use of mobile learning technologies in a large cohort of undergraduate medical students in the clinical environment. We have developed a model for mobile learning in the clinical setting that shows how different theories contribute to its use taking into account positive and negative contextual factors.The lessons from this study are transferable internationally, to other health care professions and to the development of similar initiatives with newer technology such as smartphones or tablet computers.

Mobile Medical Education (MoMEd) - how mobile information resources contribute to learning for undergraduate clinical students - a mixed methods study

PubMed Central

2012-01-01

Background Mobile technology is increasingly being used by clinicians to access up-to-date information for patient care. These offer learning opportunities in the clinical setting for medical students but the underlying pedagogic theories are not clear. A conceptual framework is needed to understand these further. Our initial questions were how the medical students used the technology, how it enabled them to learn and what theoretical underpinning supported the learning. Methods 387 medical students were provided with a personal digital assistant (PDA) loaded with medical resources for the duration of their clinical studies. Outcomes were assessed by a mixed-methods triangulation approach using qualitative and quantitative analysis of surveys, focus groups and usage tracking data. Results Learning occurred in context with timely access to key facts and through consolidation of knowledge via repetition. The PDA was an important addition to the learning ecology rather than a replacement. Contextual factors impacted on use both positively and negatively. Barriers included concerns of interrupting the clinical interaction and of negative responses from teachers and patients. Students preferred a future involving smartphone platforms. Conclusions This is the first study to describe the learning ecology and pedagogic basis behind the use of mobile learning technologies in a large cohort of undergraduate medical students in the clinical environment. We have developed a model for mobile learning in the clinical setting that shows how different theories contribute to its use taking into account positive and negative contextual factors. The lessons from this study are transferable internationally, to other health care professions and to the development of similar initiatives with newer technology such as smartphones or tablet computers. PMID:22240206

Deep Learning the Universe

NASA Astrophysics Data System (ADS)

Singh, Shiwangi; Bard, Deborah

2017-01-01

Weak gravitational lensing is an effective tool to map the structure of matter in the universe, and has been used for more than ten years as a probe of the nature of dark energy. Beyond the well-established two-point summary statistics, attention is now turning to methods that use the full statistical information available in the lensing observables, through analysis of the reconstructed shear field. This offers an opportunity to take advantage of powerful deep learning methods for image analysis. We present two early studies that demonstrate that deep learning can be used to characterise features in weak lensing convergence maps, and to identify the underlying cosmological model that produced them.We developed an unsupervised Denoising Convolutional Autoencoder model in order to learn an abstract representation directly from our data. This model uses a convolution-deconvolution architecture, which is fed with input data (corrupted with binomial noise to prevent over-fitting). Our model effectively trains itself to minimize the mean-squared error between the input and the output using gradient descent, resulting in a model which, theoretically, is broad enough to tackle other similarly structured problems. Using this model we were able to successfully reconstruct simulated convergence maps and identify the structures in them. We also determined which structures had the highest “importance” - i.e. which structures were most typical of the data. We note that the structures that had the highest importance in our reconstruction were around high mass concentrations, but were highly non-Gaussian.We also developed a supervised Convolutional Neural Network (CNN) for classification of weak lensing convergence maps from two different simulated theoretical models. The CNN uses a softmax classifier which minimizes a binary cross-entropy loss between the estimated distribution and true distribution. In other words, given an unseen convergence map the trained CNN determines probabilistically which theoretical model fits the data best. This preliminary work demonstrates that we can classify the cosmological model that produced the convergence maps with 80% accuracy.

How social network analysis can be used to monitor online collaborative learning and guide an informed intervention

PubMed Central

Fors, Uno; Tedre, Matti; Nouri, Jalal

2018-01-01

To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students’ interactions in online collaboration. However, research in education has only focused on the theoretical potential of using SNA, not on the actual benefits they achieved. This study investigated how social network analysis can be used to monitor online collaborative learning, find aspects in need of improvement, guide an informed intervention, and assess the efficacy of intervention using an experimental, observational repeated-measurement design in three courses over a full-term duration. Using a combination of SNA-based visual and quantitative analysis, we monitored three SNA constructs for each participant: the level of interactivity, the role, and position in information exchange, and the role played by each participant in the collaboration. On the group level, we monitored interactivity and group cohesion indicators. Our monitoring uncovered a non-collaborative teacher-centered pattern of interactions in the three studied courses as well as very few interactions among students, limited information exchange or negotiation, and very limited student networks dominated by the teacher. An intervention based on SNA-generated insights was designed. The intervention was structured into five actions: increasing awareness, promoting collaboration, improving the content, preparing teachers, and finally practicing with feedback. Evaluation of the intervention revealed that it has significantly enhanced student-student interactions and teacher-student interactions, as well as produced a collaborative pattern of interactions among most students and teachers. Since efficient and communicative activities are essential prerequisites for successful content discussion and for realizing the goals of collaboration, we suggest that our SNA-based approach will positively affect teaching and learning in many educational domains. Our study offers a proof-of-concept of what SNA can add to the current tools for monitoring and supporting teaching and learning in higher education. PMID:29566058

How social network analysis can be used to monitor online collaborative learning and guide an informed intervention.

PubMed

Saqr, Mohammed; Fors, Uno; Tedre, Matti; Nouri, Jalal

2018-01-01

To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students' interactions in online collaboration. However, research in education has only focused on the theoretical potential of using SNA, not on the actual benefits they achieved. This study investigated how social network analysis can be used to monitor online collaborative learning, find aspects in need of improvement, guide an informed intervention, and assess the efficacy of intervention using an experimental, observational repeated-measurement design in three courses over a full-term duration. Using a combination of SNA-based visual and quantitative analysis, we monitored three SNA constructs for each participant: the level of interactivity, the role, and position in information exchange, and the role played by each participant in the collaboration. On the group level, we monitored interactivity and group cohesion indicators. Our monitoring uncovered a non-collaborative teacher-centered pattern of interactions in the three studied courses as well as very few interactions among students, limited information exchange or negotiation, and very limited student networks dominated by the teacher. An intervention based on SNA-generated insights was designed. The intervention was structured into five actions: increasing awareness, promoting collaboration, improving the content, preparing teachers, and finally practicing with feedback. Evaluation of the intervention revealed that it has significantly enhanced student-student interactions and teacher-student interactions, as well as produced a collaborative pattern of interactions among most students and teachers. Since efficient and communicative activities are essential prerequisites for successful content discussion and for realizing the goals of collaboration, we suggest that our SNA-based approach will positively affect teaching and learning in many educational domains. Our study offers a proof-of-concept of what SNA can add to the current tools for monitoring and supporting teaching and learning in higher education.

Intelligent Learning System using cognitive science theory and artificial intelligence methods

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

Cristensen, D.L.

1986-01-01

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

Advanced interdisciplinary undergraduate program: light engineering

NASA Astrophysics Data System (ADS)

Bakholdin, Alexey; Bougrov, Vladislav; Voznesenskaya, Anna; Ezhova, Kseniia

2016-09-01

The undergraduate educational program "Light Engineering" of an advanced level of studies is focused on development of scientific learning outcomes and training of professionals, whose activities are in the interdisciplinary fields of Optical engineering and Technical physics. The program gives practical experience in transmission, reception, storage, processing and displaying information using opto-electronic devices, automation of optical systems design, computer image modeling, automated quality control and characterization of optical devices. The program is implemented in accordance with Educational standards of the ITMO University. The specific features of the Program is practice- and problem-based learning implemented by engaging students to perform research and projects, internships at the enterprises and in leading Russian and international research educational centers. The modular structure of the Program and a significant proportion of variable disciplines provide the concept of individual learning for each student. Learning outcomes of the program's graduates include theoretical knowledge and skills in natural science and core professional disciplines, deep knowledge of modern computer technologies, research expertise, design skills, optical and optoelectronic systems and devices.

Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites

PubMed Central

Schiess, Mathieu; Urbanczik, Robert; Senn, Walter

2016-01-01

In the last decade dendrites of cortical neurons have been shown to nonlinearly combine synaptic inputs by evoking local dendritic spikes. It has been suggested that these nonlinearities raise the computational power of a single neuron, making it comparable to a 2-layer network of point neurons. But how these nonlinearities can be incorporated into the synaptic plasticity to optimally support learning remains unclear. We present a theoretically derived synaptic plasticity rule for supervised and reinforcement learning that depends on the timing of the presynaptic, the dendritic and the postsynaptic spikes. For supervised learning, the rule can be seen as a biological version of the classical error-backpropagation algorithm applied to the dendritic case. When modulated by a delayed reward signal, the same plasticity is shown to maximize the expected reward in reinforcement learning for various coding scenarios. Our framework makes specific experimental predictions and highlights the unique advantage of active dendrites for implementing powerful synaptic plasticity rules that have access to downstream information via backpropagation of action potentials. PMID:26841235

Comparing associative, statistical, and inferential reasoning accounts of human contingency learning

PubMed Central

Pineño, Oskar; Miller, Ralph R.

2007-01-01

For more than two decades, researchers have contrasted the relative merits of associative and statistical theories as accounts of human contingency learning. This debate, still far from resolution, has led to further refinement of models within each family of theories. More recently, a third theoretical view has joined the debate: the inferential reasoning account. The explanations of these three accounts differ critically in many aspects, such as level of analysis and their emphasis on different steps within the information-processing sequence. Also, each account has important advantages (as well as critical flaws) and emphasizes experimental evidence that poses problems to the others. Some hybrid models of human contingency learning have attempted to reconcile certain features of these accounts, thereby benefiting from some of the unique advantages of different families of accounts. A comparison of these families of accounts will help us appreciate the challenges that research on human contingency learning will face over the coming years. PMID:17366303

Discriminative Nonlinear Analysis Operator Learning: When Cosparse Model Meets Image Classification.

PubMed

Wen, Zaidao; Hou, Biao; Jiao, Licheng

2017-05-03

Linear synthesis model based dictionary learning framework has achieved remarkable performances in image classification in the last decade. Behaved as a generative feature model, it however suffers from some intrinsic deficiencies. In this paper, we propose a novel parametric nonlinear analysis cosparse model (NACM) with which a unique feature vector will be much more efficiently extracted. Additionally, we derive a deep insight to demonstrate that NACM is capable of simultaneously learning the task adapted feature transformation and regularization to encode our preferences, domain prior knowledge and task oriented supervised information into the features. The proposed NACM is devoted to the classification task as a discriminative feature model and yield a novel discriminative nonlinear analysis operator learning framework (DNAOL). The theoretical analysis and experimental performances clearly demonstrate that DNAOL will not only achieve the better or at least competitive classification accuracies than the state-of-the-art algorithms but it can also dramatically reduce the time complexities in both training and testing phases.

A Large-Scale Multi-Hop Localization Algorithm Based on Regularized Extreme Learning for Wireless Networks.

PubMed

Zheng, Wei; Yan, Xiaoyong; Zhao, Wei; Qian, Chengshan

2017-12-20

A novel large-scale multi-hop localization algorithm based on regularized extreme learning is proposed in this paper. The large-scale multi-hop localization problem is formulated as a learning problem. Unlike other similar localization algorithms, the proposed algorithm overcomes the shortcoming of the traditional algorithms which are only applicable to an isotropic network, therefore has a strong adaptability to the complex deployment environment. The proposed algorithm is composed of three stages: data acquisition, modeling and location estimation. In data acquisition stage, the training information between nodes of the given network is collected. In modeling stage, the model among the hop-counts and the physical distances between nodes is constructed using regularized extreme learning. In location estimation stage, each node finds its specific location in a distributed manner. Theoretical analysis and several experiments show that the proposed algorithm can adapt to the different topological environments with low computational cost. Furthermore, high accuracy can be achieved by this method without setting complex parameters.

Social learning solves the problem of narrow-peaked search landscapes: experimental evidence in humans.

PubMed

Acerbi, Alberto; Tennie, Claudio; Mesoudi, Alex

2016-09-01

The extensive use of social learning is considered a major reason for the ecological success of humans. Theoretical considerations, models and experiments have explored the evolutionary basis of social learning, showing the conditions under which learning from others is more adaptive than individual learning. Here we present an extension of a previous experimental set-up, in which individuals go on simulated 'hunts' and their success depends on the features of a 'virtual arrowhead' they design. Individuals can modify their arrowhead either by individual trial and error or by copying others. We study how, in a multimodal adaptive landscape, the smoothness of the peaks influences learning. We compare narrow peaks, in which solutions close to optima do not provide useful feedback to individuals, to wide peaks, where smooth landscapes allow an effective hill-climbing individual learning strategy. We show that individual learning is more difficult in narrow-peaked landscapes, but that social learners perform almost equally well in both narrow- and wide-peaked search spaces. There was a weak trend for more copying in the narrow than wide condition, although as in previous experiments social information was generally underutilized. Our results highlight the importance of tasks' design space when studying the adaptiveness of high-fidelity social learning.

Multi-Source Multi-Target Dictionary Learning for Prediction of Cognitive Decline

PubMed Central

Zhang, Jie; Li, Qingyang; Caselli, Richard J.; Thompson, Paul M.; Ye, Jieping; Wang, Yalin

2017-01-01

Alzheimer’s Disease (AD) is the most common type of dementia. Identifying correct biomarkers may determine pre-symptomatic AD subjects and enable early intervention. Recently, Multi-task sparse feature learning has been successfully applied to many computer vision and biomedical informatics researches. It aims to improve the generalization performance by exploiting the shared features among different tasks. However, most of the existing algorithms are formulated as a supervised learning scheme. Its drawback is with either insufficient feature numbers or missing label information. To address these challenges, we formulate an unsupervised framework for multi-task sparse feature learning based on a novel dictionary learning algorithm. To solve the unsupervised learning problem, we propose a two-stage Multi-Source Multi-Target Dictionary Learning (MMDL) algorithm. In stage 1, we propose a multi-source dictionary learning method to utilize the common and individual sparse features in different time slots. In stage 2, supported by a rigorous theoretical analysis, we develop a multi-task learning method to solve the missing label problem. Empirical studies on an N = 3970 longitudinal brain image data set, which involves 2 sources and 5 targets, demonstrate the improved prediction accuracy and speed efficiency of MMDL in comparison with other state-of-the-art algorithms. PMID:28943731

Self-Assessment of Competences in Management Education

ERIC Educational Resources Information Center

Hernández López, Lidia; de Saá Pérez, Petra; Ballesteros Rodríguez, Jose Luis; García Almeida, Desiderio

2015-01-01

Purpose: The purpose of this paper is to discuss the theoretical and practical need for research into the learning conditions that influence a student's self-assessment of their competences in management education. By means of a theoretical review, the paper introduces a model that integrates various learning conditions related to a student's…

Defining and Measuring Engagement and Learning in Science: Conceptual, Theoretical, Methodological, and Analytical Issues

ERIC Educational Resources Information Center

Azevedo, Roger

2015-01-01

Engagement is one of the most widely misused and overgeneralized constructs found in the educational, learning, instructional, and psychological sciences. The articles in this special issue represent a wide range of traditions and highlight several key conceptual, theoretical, methodological, and analytical issues related to defining and measuring…

EMOTIONS AND IMAGES IN LANGUAGE--A LEARNING ANALYSIS OF THEIR ACQUISITION AND FUNCTION.

ERIC Educational Resources Information Center

STAATS, ARTHUR W.

THIS ARTICLE PRESENTED THEORETICAL AND EXPERIMENTAL ANALYSES CONCERNING IMPORTANT ASPECTS OF LANGUAGE. IT WAS SUGGESTED THAT A LEARNING THEORY WHICH INEGRATES INSTRUMENTAL AND CLASSICAL CONDITIONING, CUTTING ACROSS THEORETICAL LINES, COULD SERVE AS THE BASIS FOR A COMPREHENSIVE THEORY OF LANGUAGE ACQUISITION AND FUNCTION. THE PAPER ILLUSTRATED THE…

From Theory to Data: The Process of Refining Learning Progressions

ERIC Educational Resources Information Center

Shea, Nicole A.; Duncan, Ravit Golan

2013-01-01

Learning progressions (LPs) are theoretical models of how learners develop expertise in a domain over extended periods of time. Recent policy reports have touted LPs as a promising approach to aligning standards, curriculum, and assessment. However, the scholarship on LPs is relatively sparse, and the jury is still out on the theoretical and…

21st Century Pedagogical Content Knowledge and Science Teaching and Learning

ERIC Educational Resources Information Center

Slough, Scott; Chamblee, Gregory

2017-01-01

Technological Pedagogical Content Knowledge (TPACK) is a theoretical framework that has enjoyed widespread applications as it applies to the integration of technology in the teaching and learning process. This paper reviews the background for TPACK, discusses some of its limitations, and reviews and introduces a new theoretical framework, 21st…

Toward an Organizational Model of Change in Elementary Schools: The Contribution of Organizational Learning Mechanisms

ERIC Educational Resources Information Center

Schechter, Chen; Qadach, Mowafaq

2012-01-01

Purpose: This study explored a theoretical model that links teachers' perceived uncertainty and teachers' sense of collective efficacy with organizational learning mechanisms (OLMs) in elementary schools. OLMs serve as a mediator construct. Research Design: For testing the primary theoretical model, 801 teachers from 61 elementary schools (33…

A Literature Review of Gaming in Education. Research Report

ERIC Educational Resources Information Center

McClarty, Katie Larsen; Orr, Aline; Frey, Peter M.; Dolan, Robert P.; Vassileva, Victoria; McVay, Aaron

2012-01-01

The use of simulations and digital games in learning and assessment is expected to increase over the next several years. Although there is much theoretical support for the benefits of digital games in learning and education, there is mixed empirical support. This research report provides an overview of the theoretical and empirical evidence behind…

Organizational Learning and Product Design Management: Towards a Theoretical Model.

ERIC Educational Resources Information Center

Chiva-Gomez, Ricardo; Camison-Zornoza, Cesar; Lapiedra-Alcami, Rafael

2003-01-01

Case studies of four Spanish ceramics companies were used to construct a theoretical model of 14 factors essential to organizational learning. One set of factors is related to the conceptual-analytical phase of the product design process and the other to the creative-technical phase. All factors contributed to efficient product design management…

Growth in Mathematical Understanding While Learning How To Teach: A Theoretical Perspective.

ERIC Educational Resources Information Center

Cavey, Laurie O.

This theoretical paper outlines a conceptual framework for examining growth in prospective teachers' mathematical understanding as they engage in thinking about and planning for the mathematical learning of others. The framework is based on the Pirie-Kieren (1994) Dynamical Theory for the Growth of Mathematical Understanding and extends into the…

Models of the Bilingual Lexicon and Their Theoretical Implications for CLIL

ERIC Educational Resources Information Center

Heine, Lena

2014-01-01

Although many advances have been made in recent years concerning the theoretical dimensions of content and language integrated learning (CLIL), research still has to meet the necessity to come up with integrative models that adequately map the interrelation between content and language learning in CLIL contexts. This article will suggest that…

What We Do and Do Not Know about Teaching Medical Image Interpretation.

PubMed

Kok, Ellen M; van Geel, Koos; van Merriënboer, Jeroen J G; Robben, Simon G F

2017-01-01

Educators in medical image interpretation have difficulty finding scientific evidence as to how they should design their instruction. We review and comment on 81 papers that investigated instructional design in medical image interpretation. We distinguish between studies that evaluated complete offline courses and curricula, studies that evaluated e-learning modules, and studies that evaluated specific educational interventions. Twenty-three percent of all studies evaluated the implementation of complete courses or curricula, and 44% of the studies evaluated the implementation of e-learning modules. We argue that these studies have encouraging results but provide little information for educators: too many differences exist between conditions to unambiguously attribute the learning effects to specific instructional techniques. Moreover, concepts are not uniformly defined and methodological weaknesses further limit the usefulness of evidence provided by these studies. Thirty-two percent of the studies evaluated a specific interventional technique. We discuss three theoretical frameworks that informed these studies: diagnostic reasoning, cognitive schemas and study strategies. Research on diagnostic reasoning suggests teaching students to start with non-analytic reasoning and subsequently applying analytic reasoning, but little is known on how to train non-analytic reasoning. Research on cognitive schemas investigated activities that help the development of appropriate cognitive schemas. Finally, research on study strategies supports the effectiveness of practice testing, but more study strategies could be applicable to learning medical image interpretation. Our commentary highlights the value of evaluating specific instructional techniques, but further evidence is required to optimally inform educators in medical image interpretation.

Long-range dismount activity classification: LODAC

NASA Astrophysics Data System (ADS)

Garagic, Denis; Peskoe, Jacob; Liu, Fang; Cuevas, Manuel; Freeman, Andrew M.; Rhodes, Bradley J.

2014-06-01

Continuous classification of dismount types (including gender, age, ethnicity) and their activities (such as walking, running) evolving over space and time is challenging. Limited sensor resolution (often exacerbated as a function of platform standoff distance) and clutter from shadows in dense target environments, unfavorable environmental conditions, and the normal properties of real data all contribute to the challenge. The unique and innovative aspect of our approach is a synthesis of multimodal signal processing with incremental non-parametric, hierarchical Bayesian machine learning methods to create a new kind of target classification architecture. This architecture is designed from the ground up to optimally exploit correlations among the multiple sensing modalities (multimodal data fusion) and rapidly and continuously learns (online self-tuning) patterns of distinct classes of dismounts given little a priori information. This increases classification performance in the presence of challenges posed by anti-access/area denial (A2/AD) sensing. To fuse multimodal features, Long-range Dismount Activity Classification (LODAC) develops a novel statistical information theoretic approach for multimodal data fusion that jointly models multimodal data (i.e., a probabilistic model for cross-modal signal generation) and discovers the critical cross-modal correlations by identifying components (features) with maximal mutual information (MI) which is efficiently estimated using non-parametric entropy models. LODAC develops a generic probabilistic pattern learning and classification framework based on a new class of hierarchical Bayesian learning algorithms for efficiently discovering recurring patterns (classes of dismounts) in multiple simultaneous time series (sensor modalities) at multiple levels of feature granularity.

What's statistical about learning? Insights from modelling statistical learning as a set of memory processes

PubMed Central

2017-01-01

Statistical learning has been studied in a variety of different tasks, including word segmentation, object identification, category learning, artificial grammar learning and serial reaction time tasks (e.g. Saffran et al. 1996 Science 274, 1926–1928; Orban et al. 2008 Proceedings of the National Academy of Sciences 105, 2745–2750; Thiessen & Yee 2010 Child Development 81, 1287–1303; Saffran 2002 Journal of Memory and Language 47, 172–196; Misyak & Christiansen 2012 Language Learning 62, 302–331). The difference among these tasks raises questions about whether they all depend on the same kinds of underlying processes and computations, or whether they are tapping into different underlying mechanisms. Prior theoretical approaches to statistical learning have often tried to explain or model learning in a single task. However, in many cases these approaches appear inadequate to explain performance in multiple tasks. For example, explaining word segmentation via the computation of sequential statistics (such as transitional probability) provides little insight into the nature of sensitivity to regularities among simultaneously presented features. In this article, we will present a formal computational approach that we believe is a good candidate to provide a unifying framework to explore and explain learning in a wide variety of statistical learning tasks. This framework suggests that statistical learning arises from a set of processes that are inherent in memory systems, including activation, interference, integration of information and forgetting (e.g. Perruchet & Vinter 1998 Journal of Memory and Language 39, 246–263; Thiessen et al. 2013 Psychological Bulletin 139, 792–814). From this perspective, statistical learning does not involve explicit computation of statistics, but rather the extraction of elements of the input into memory traces, and subsequent integration across those memory traces that emphasize consistent information (Thiessen and Pavlik 2013 Cognitive Science 37, 310–343). This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences'. PMID:27872374

What's statistical about learning? Insights from modelling statistical learning as a set of memory processes.

PubMed

Thiessen, Erik D

2017-01-05

Statistical learning has been studied in a variety of different tasks, including word segmentation, object identification, category learning, artificial grammar learning and serial reaction time tasks (e.g. Saffran et al. 1996 Science 274: , 1926-1928; Orban et al. 2008 Proceedings of the National Academy of Sciences 105: , 2745-2750; Thiessen & Yee 2010 Child Development 81: , 1287-1303; Saffran 2002 Journal of Memory and Language 47: , 172-196; Misyak & Christiansen 2012 Language Learning 62: , 302-331). The difference among these tasks raises questions about whether they all depend on the same kinds of underlying processes and computations, or whether they are tapping into different underlying mechanisms. Prior theoretical approaches to statistical learning have often tried to explain or model learning in a single task. However, in many cases these approaches appear inadequate to explain performance in multiple tasks. For example, explaining word segmentation via the computation of sequential statistics (such as transitional probability) provides little insight into the nature of sensitivity to regularities among simultaneously presented features. In this article, we will present a formal computational approach that we believe is a good candidate to provide a unifying framework to explore and explain learning in a wide variety of statistical learning tasks. This framework suggests that statistical learning arises from a set of processes that are inherent in memory systems, including activation, interference, integration of information and forgetting (e.g. Perruchet & Vinter 1998 Journal of Memory and Language 39: , 246-263; Thiessen et al. 2013 Psychological Bulletin 139: , 792-814). From this perspective, statistical learning does not involve explicit computation of statistics, but rather the extraction of elements of the input into memory traces, and subsequent integration across those memory traces that emphasize consistent information (Thiessen and Pavlik 2013 Cognitive Science 37: , 310-343).This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Author(s).

Local dynamics in decision making: The evolution of preference within and across decisions

NASA Astrophysics Data System (ADS)

O'Hora, Denis; Dale, Rick; Piiroinen, Petri T.; Connolly, Fionnuala

2013-07-01

Within decisions, perceived alternatives compete until one is preferred. Across decisions, the playing field on which these alternatives compete evolves to favor certain alternatives. Mouse cursor trajectories provide rich continuous information related to such cognitive processes during decision making. In three experiments, participants learned to choose symbols to earn points in a discrimination learning paradigm and the cursor trajectories of their responses were recorded. Decisions between two choices that earned equally high-point rewards exhibited far less competition than decisions between choices that earned equally low-point rewards. Using positional coordinates in the trajectories, it was possible to infer a potential field in which the choice locations occupied areas of minimal potential. These decision spaces evolved through the experiments, as participants learned which options to choose. This visualisation approach provides a potential framework for the analysis of local dynamics in decision-making that could help mitigate both theoretical disputes and disparate empirical results.

Soft Systems Methodology

NASA Astrophysics Data System (ADS)

Checkland, Peter; Poulter, John

Soft systems methodology (SSM) is an approach for tackling problematical, messy situations of all kinds. It is an action-oriented process of inquiry into problematic situations in which users learn their way from finding out about the situation, to taking action to improve it. The learning emerges via an organised process in which the situation is explored using a set of models of purposeful action (each built to encapsulate a single worldview) as intellectual devices, or tools, to inform and structure discussion about a situation and how it might be improved. This paper, written by the original developer Peter Checkland and practitioner John Poulter, gives a clear and concise account of the approach that covers SSM's specific techniques, the learning cycle process of the methodology and the craft skills which practitioners develop. This concise but theoretically robust account nevertheless includes the fundamental concepts, techniques, core tenets described through a wide range of settings.

A learning activity to introduce undergraduate students to bioethics in human clinical research: a case study.

PubMed

Segarra, Ignacio; Gomez, Manuel

2014-12-01

We developed a pharmacology practicum assignment to introduce students to the research ethics and steps involved in a clinical trial. The assignment included literature review, critical analysis of bioethical situations, writing a study protocol and presenting it before a simulated ethics committee, a practice interview with a faculty member to obtain informed consent, and a student reflective assessment and self-evaluation. Students were assessed at various steps in the practicum; the learning efficiency of the activity was evaluated using an independent survey as well as students' reflective feedback. Most of the domains of Bloom's and Fink's taxonomies of learning were itemized and covered in the practicum. Students highly valued the translatability of theoretical concepts into practice as well as the approach to mimic professional practice. This activity was within a pharmacy program, but may be easily transferable to other medical or health sciences courses. © The Author(s) 2014.

Segmented-memory recurrent neural networks.

PubMed

Chen, Jinmiao; Chaudhari, Narendra S

2009-08-01

Conventional recurrent neural networks (RNNs) have difficulties in learning long-term dependencies. To tackle this problem, we propose an architecture called segmented-memory recurrent neural network (SMRNN). A symbolic sequence is broken into segments and then presented as inputs to the SMRNN one symbol per cycle. The SMRNN uses separate internal states to store symbol-level context, as well as segment-level context. The symbol-level context is updated for each symbol presented for input. The segment-level context is updated after each segment. The SMRNN is trained using an extended real-time recurrent learning algorithm. We test the performance of SMRNN on the information latching problem, the "two-sequence problem" and the problem of protein secondary structure (PSS) prediction. Our implementation results indicate that SMRNN performs better on long-term dependency problems than conventional RNNs. Besides, we also theoretically analyze how the segmented memory of SMRNN helps learning long-term temporal dependencies and study the impact of the segment length.

Probabilistic learning and inference in schizophrenia

PubMed Central

Averbeck, Bruno B.; Evans, Simon; Chouhan, Viraj; Bristow, Eleanor; Shergill, Sukhwinder S.

2010-01-01

Patients with schizophrenia make decisions on the basis of less evidence when required to collect information to make an inference, a behavior often called jumping to conclusions. The underlying basis for this behaviour remains controversial. We examined the cognitive processes underpinning this finding by testing subjects on the beads task, which has been used previously to elicit jumping to conclusions behaviour, and a stochastic sequence learning task, with a similar decision theoretic structure. During the sequence learning task, subjects had to learn a sequence of button presses, while receiving noisy feedback on their choices. We fit a Bayesian decision making model to the sequence task and compared model parameters to the choice behavior in the beads task in both patients and healthy subjects. We found that patients did show a jumping to conclusions style; and those who picked early in the beads task tended to learn less from positive feedback in the sequence task. This favours the likelihood of patients selecting early because they have a low threshold for making decisions, and that they make choices on the basis of relatively little evidence. PMID:20810252

Probabilistic learning and inference in schizophrenia.

PubMed

Averbeck, Bruno B; Evans, Simon; Chouhan, Viraj; Bristow, Eleanor; Shergill, Sukhwinder S

2011-04-01

Patients with schizophrenia make decisions on the basis of less evidence when required to collect information to make an inference, a behavior often called jumping to conclusions. The underlying basis for this behavior remains controversial. We examined the cognitive processes underpinning this finding by testing subjects on the beads task, which has been used previously to elicit jumping to conclusions behavior, and a stochastic sequence learning task, with a similar decision theoretic structure. During the sequence learning task, subjects had to learn a sequence of button presses, while receiving a noisy feedback on their choices. We fit a Bayesian decision making model to the sequence task and compared model parameters to the choice behavior in the beads task in both patients and healthy subjects. We found that patients did show a jumping to conclusions style; and those who picked early in the beads task tended to learn less from positive feedback in the sequence task. This favours the likelihood of patients selecting early because they have a low threshold for making decisions, and that they make choices on the basis of relatively little evidence. Published by Elsevier B.V.

Evaluation of Learning Materials: A Holistic Framework

ERIC Educational Resources Information Center

Bundsgaard, Jeppe; Hansen, Thomas Illum

2011-01-01

This paper presents a holistic framework for evaluating learning materials and designs for learning. A holistic evaluation comprises investigations of the potential learning potential, the actualised learning potential, and the actual learning. Each aspect is explained and exemplified through theoretical models and definitions. (Contains 3 figures…

Proceedings of the Annual Acquisition Research Symposium (7th), Acquisition Research: Creating Synergy for Informed Change 12-13 May 2010. Volume 2

DTIC Science & Technology

2010-04-30

delivered enhances both the teaching and learning processes. • The number of students engaged in focused acquisition research for their MBA projects...Meyers, US Navy—Lieutenant Nicholas Meyers is an MBA student in the Graduate School of Business & Public Policy at the Naval Postgraduate School . LT...Theoretic Computer Science Mathematics and Operations Research Werner Heisenberg-Weg 39 85577 Neubiberg, Germany Phone +49 89 6004 2400 Abstract

Learning-Theoretic Foundations of Linguistic Universals

DTIC Science & Technology

1974-11-01

constructed experimental situations in which such predictions are tested. Rathär we are concerned with the more primary task of constructing firm and...for a unicorn . (22) may be true or false even if there is no such thing as a unicorn . There is a second reading, of course, in which a unicont must...the direct object of the verb is looking for may be either the intension of a unicorn , which we may represent here informally as a unicorn1, or the

Joint Information Theoretic and Differential Geometrical Approach for Robust Automated Target Recognition

DTIC Science & Technology

2012-02-29

surface and Swiss roll) and real-world data sets (UCI Machine Learning Repository [12] and USPS digit handwriting data). In our experiments, we use...less than µn ( say µ = 0.8), we can first use screening technique to select µn candidate nodes, and then apply BIPS on them for further selection and...identified from node j to node i. So we can say the probability for the existence of this connection is approximately 82%. Given the probability matrix

Moving and Learning: Expanding Style and Increasing Flexibility

ERIC Educational Resources Information Center

Peterson, Kay; DeCato, Lisa; Kolb, David A.

2015-01-01

This article introduces ways in which movement can enhance one's understanding of how to learn using Experiential Learning Theory (ELT) concepts of the Learning Cycle, Learning Styles, and Learning Flexibility. The theoretical correspondence between the dialectic dimensions of the Learning Cycle and the dimensions of the Laban Movement Analysis…

Toward a Social Approach to Learning in Community Service Learning

ERIC Educational Resources Information Center

Cooks, Leda; Scharrer, Erica; Paredes, Mari Castaneda

2004-01-01

The authors describe a social approach to learning in community service learning that extends the contributions of three theoretical bodies of scholarship on learning: social constructionism, critical pedagogy, and community service learning. Building on the assumptions about learning described in each of these areas, engagement, identity, and…

Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity.

PubMed

Pecevski, Dejan; Maass, Wolfgang

2016-01-01

Numerous experimental data show that the brain is able to extract information from complex, uncertain, and often ambiguous experiences. Furthermore, it can use such learnt information for decision making through probabilistic inference. Several models have been proposed that aim at explaining how probabilistic inference could be performed by networks of neurons in the brain. We propose here a model that can also explain how such neural network could acquire the necessary information for that from examples. We show that spike-timing-dependent plasticity in combination with intrinsic plasticity generates in ensembles of pyramidal cells with lateral inhibition a fundamental building block for that: probabilistic associations between neurons that represent through their firing current values of random variables. Furthermore, by combining such adaptive network motifs in a recursive manner the resulting network is enabled to extract statistical information from complex input streams, and to build an internal model for the distribution p (*) that generates the examples it receives. This holds even if p (*) contains higher-order moments. The analysis of this learning process is supported by a rigorous theoretical foundation. Furthermore, we show that the network can use the learnt internal model immediately for prediction, decision making, and other types of probabilistic inference.

Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity123

PubMed Central

Pecevski, Dejan

2016-01-01

Abstract Numerous experimental data show that the brain is able to extract information from complex, uncertain, and often ambiguous experiences. Furthermore, it can use such learnt information for decision making through probabilistic inference. Several models have been proposed that aim at explaining how probabilistic inference could be performed by networks of neurons in the brain. We propose here a model that can also explain how such neural network could acquire the necessary information for that from examples. We show that spike-timing-dependent plasticity in combination with intrinsic plasticity generates in ensembles of pyramidal cells with lateral inhibition a fundamental building block for that: probabilistic associations between neurons that represent through their firing current values of random variables. Furthermore, by combining such adaptive network motifs in a recursive manner the resulting network is enabled to extract statistical information from complex input streams, and to build an internal model for the distribution p* that generates the examples it receives. This holds even if p* contains higher-order moments. The analysis of this learning process is supported by a rigorous theoretical foundation. Furthermore, we show that the network can use the learnt internal model immediately for prediction, decision making, and other types of probabilistic inference. PMID:27419214

Working Memory Underpins Cognitive Development, Learning, and Education

PubMed Central

Cowan, Nelson

2014-01-01

Working memory is the retention of a small amount of information in a readily accessible form. It facilitates planning, comprehension, reasoning, and problem-solving. I examine the historical roots and conceptual development of the concept and the theoretical and practical implications of current debates about working memory mechanisms. Then I explore the nature of cognitive developmental improvements in working memory, the role of working memory in learning, and some potential implications of working memory and its development for the education of children and adults. The use of working memory is quite ubiquitous in human thought, but the best way to improve education using what we know about working memory is still controversial. I hope to provide some directions for research and educational practice. PMID:25346585

Analyzing beliefs and practices of a Mexican high school biology teacher

NASA Astrophysics Data System (ADS)

Verjovsky, Janet; Waldegg, Guillermina

2005-04-01

This article explores the beliefs and practices of a high school biology teacher through three interrelated theoretical frameworks: common knowledge, collaborative learning, and communities of practice. The data were obtained from an in-depth case study of Maria, a biology teacher from a Mexican public high school that was participating in a 4-year international science project using collaborative learning and information and communication technology. Her beliefs and practices were explored by means of questionnaires, semi-structured interviews, and nonparticipant observation of classes. Through the use of the three-component framework, the degrees of coherence between practice and beliefs that guide the teacher's daily behavior became apparent, as well as the difficulties of incorporating innovations due to institutional constraints.

A Joyful Classroom Learning System with Robot Learning Companion for Children to Learn Mathematics Multiplication

ERIC Educational Resources Information Center

Wei, Chun-Wang; Hung, I-Chun; Lee, Ling; Chen, Nian-Shing

2011-01-01

This research demonstrates the design of a Joyful Classroom Learning System (JCLS) with flexible, mobile and joyful features. The theoretical foundations of this research include the experiential learning theory, constructivist learning theory and joyful learning. The developed JCLS consists of the robot learning companion (RLC), sensing input…

Praxis and reflexivity for interprofessional education: towards an inclusive theoretical framework for learning.

PubMed

Hutchings, Maggie; Scammell, Janet; Quinney, Anne

2013-09-01

While there is growing evidence of theoretical perspectives adopted in interprofessional education, learning theories tend to foreground the individual, focusing on psycho-social aspects of individual differences and professional identity to the detriment of considering social-structural factors at work in social practices. Conversely socially situated practice is criticised for being context-specific, making it difficult to draw generalisable conclusions for improving interprofessional education. This article builds on a theoretical framework derived from earlier research, drawing on the dynamics of Dewey's experiential learning theory and Archer's critical realist social theory, to make a case for a meta-theoretical framework enabling social-constructivist and situated learning theories to be interlinked and integrated through praxis and reflexivity. Our current analysis is grounded in an interprofessional curriculum initiative mediated by a virtual community peopled by health and social care users. Student perceptions, captured through quantitative and qualitative data, suggest three major disruptive themes, creating opportunities for congruence and disjuncture and generating a model of zones of interlinked praxis associated with professional differences and identity, pedagogic strategies and technology-mediated approaches. This model contributes to a framework for understanding the complexity of interprofessional learning and offers bridges between individual and structural factors for engaging with the enablements and constraints at work in communities of practice and networks for interprofessional education.

An Algebra-Based Introductory Computational Neuroscience Course with Lab.

PubMed

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.

Discriminative Learning of Receptive Fields from Responses to Non-Gaussian Stimulus Ensembles

PubMed Central

Meyer, Arne F.; Diepenbrock, Jan-Philipp; Happel, Max F. K.; Ohl, Frank W.; Anemüller, Jörn

2014-01-01

Analysis of sensory neurons' processing characteristics requires simultaneous measurement of presented stimuli and concurrent spike responses. The functional transformation from high-dimensional stimulus space to the binary space of spike and non-spike responses is commonly described with linear-nonlinear models, whose linear filter component describes the neuron's receptive field. From a machine learning perspective, this corresponds to the binary classification problem of discriminating spike-eliciting from non-spike-eliciting stimulus examples. The classification-based receptive field (CbRF) estimation method proposed here adapts a linear large-margin classifier to optimally predict experimental stimulus-response data and subsequently interprets learned classifier weights as the neuron's receptive field filter. Computational learning theory provides a theoretical framework for learning from data and guarantees optimality in the sense that the risk of erroneously assigning a spike-eliciting stimulus example to the non-spike class (and vice versa) is minimized. Efficacy of the CbRF method is validated with simulations and for auditory spectro-temporal receptive field (STRF) estimation from experimental recordings in the auditory midbrain of Mongolian gerbils. Acoustic stimulation is performed with frequency-modulated tone complexes that mimic properties of natural stimuli, specifically non-Gaussian amplitude distribution and higher-order correlations. Results demonstrate that the proposed approach successfully identifies correct underlying STRFs, even in cases where second-order methods based on the spike-triggered average (STA) do not. Applied to small data samples, the method is shown to converge on smaller amounts of experimental recordings and with lower estimation variance than the generalized linear model and recent information theoretic methods. Thus, CbRF estimation may prove useful for investigation of neuronal processes in response to natural stimuli and in settings where rapid adaptation is induced by experimental design. PMID:24699631

Discriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles.

PubMed

Meyer, Arne F; Diepenbrock, Jan-Philipp; Happel, Max F K; Ohl, Frank W; Anemüller, Jörn

2014-01-01

Analysis of sensory neurons' processing characteristics requires simultaneous measurement of presented stimuli and concurrent spike responses. The functional transformation from high-dimensional stimulus space to the binary space of spike and non-spike responses is commonly described with linear-nonlinear models, whose linear filter component describes the neuron's receptive field. From a machine learning perspective, this corresponds to the binary classification problem of discriminating spike-eliciting from non-spike-eliciting stimulus examples. The classification-based receptive field (CbRF) estimation method proposed here adapts a linear large-margin classifier to optimally predict experimental stimulus-response data and subsequently interprets learned classifier weights as the neuron's receptive field filter. Computational learning theory provides a theoretical framework for learning from data and guarantees optimality in the sense that the risk of erroneously assigning a spike-eliciting stimulus example to the non-spike class (and vice versa) is minimized. Efficacy of the CbRF method is validated with simulations and for auditory spectro-temporal receptive field (STRF) estimation from experimental recordings in the auditory midbrain of Mongolian gerbils. Acoustic stimulation is performed with frequency-modulated tone complexes that mimic properties of natural stimuli, specifically non-Gaussian amplitude distribution and higher-order correlations. Results demonstrate that the proposed approach successfully identifies correct underlying STRFs, even in cases where second-order methods based on the spike-triggered average (STA) do not. Applied to small data samples, the method is shown to converge on smaller amounts of experimental recordings and with lower estimation variance than the generalized linear model and recent information theoretic methods. Thus, CbRF estimation may prove useful for investigation of neuronal processes in response to natural stimuli and in settings where rapid adaptation is induced by experimental design.

An Exploration of E-Learning Benefits for Saudi Arabia: Toward Policy Reform

ERIC Educational Resources Information Center

Alrashidi, Abdulaziz

2013-01-01

Purpose: The purpose of this study was to examine policies and solutions addressing (a) improving education for citizens of the Kingdom of Saudi Arabia and (b) providing alternative instructional delivery methods, including e-learning for those living in remote areas. Theoretical Framework: The theoretical framework of this study was based on the…

Proverbs as Theoretical Frameworks for Lifelong Learning in Indigenous African Education

ERIC Educational Resources Information Center

Avoseh, Mejai B. M.

2013-01-01

Every aspect of a community's life and values in indigenous Africa provide the theoretical framework for education. The holistic worldview of the traditional system places a strong emphasis on the centrality of the human element and orature in the symmetrical relationship between life and learning. This article focuses on proverbs and the words…

The Use of Learning Map Systems to Support the Formative Assessment in Mathematics

ERIC Educational Resources Information Center

Kingston, Neal M.; Broaddus, Angela

2017-01-01

Despite much theoretical support, meta-analysis of the efficacy of formative assessment does not provide empirical evidence commensurate with expectations. This theoretical study suggests that teachers need a better organizing structure to allow a formative assessment process to live up to its promise. We propose that the use of learning map…

New Theoretical Frameworks for Machine Learning

DTIC Science & Technology

2008-09-15

New York, 1974. 6.3 [52] G.M. Benedek and A. Itai . Learnability by fixed distributions. In Proc. 1st Workshop Computat. Learning Theory, pages 80–90...1988. 3.4.3 [53] G.M. Benedek and A. Itai . Learnability with respect to a fixed distribution. Theoretical Computer Science, 86:377–389, 1991. 2.1, 2.1.1

Transformational Teaching: Theoretical Underpinnings, Basic Principles, and Core Methods

PubMed Central

Slavich, George M.; Zimbardo, Philip G.

2012-01-01

Approaches to classroom instruction have evolved considerably over the past 50 years. This progress has been spurred by the development of several learning principles and methods of instruction, including active learning, student-centered learning, collaborative learning, experiential learning, and problem-based learning. In the present paper, we suggest that these seemingly different strategies share important underlying characteristics and can be viewed as complimentary components of a broader approach to classroom instruction called transformational teaching. Transformational teaching involves creating dynamic relationships between teachers, students, and a shared body of knowledge to promote student learning and personal growth. From this perspective, instructors are intellectual coaches who create teams of students who collaborate with each other and with their teacher to master bodies of information. Teachers assume the traditional role of facilitating students’ acquisition of key course concepts, but do so while enhancing students’ personal development and attitudes toward learning. They accomplish these goals by establishing a shared vision for a course, providing modeling and mastery experiences, challenging and encouraging students, personalizing attention and feedback, creating experiential lessons that transcend the boundaries of the classroom, and promoting ample opportunities for preflection and reflection. We propose that these methods are synergistically related and, when used together, maximize students’ potential for intellectual and personal growth. PMID:23162369

Empowering Students in Science through Active Learning: Voices From Inside the Classroom

NASA Astrophysics Data System (ADS)

Erickson, Sabrina Ann

Preparing students for success in the 21st century has shifted the focus of science education from acquiring information and knowledge to mastery of critical thinking and problem-solving skills. The purpose of this qualitative case study was to examine teacher and student perspectives of the relationship between (a) active learning, problem solving, and achievement in science and (b) the conditions that help facilitate this environment. Adapting a social constructivist theoretical framework, high school science teachers and students were interviewed, school records analyzed, curriculum documents studied, and classes observed. The findings revealed that students were engaged with the material in an active learning environment, which led to a sense of involvement, interest, and meaningful learning. Students felt empowered to take ownership of their learning, developed the critical thinking skills necessary to solve problems independently and became aware of how they learn best, which students reported as interactive learning. Moreover, student reflections revealed that an active environment contributed to deeper understanding and higher skills through interaction and discussion, including questioning, explaining, arguing, and contemplating scientific concepts with their peers. Recommendations are for science teachers to provide opportunities for students to work actively, collaborate in groups, and discuss their ideas to develop the necessary skills for achievement and for administrators to facilitate the conditions needed for active learning to occur.

Situativity theory: a perspective on how participants and the environment can interact: AMEE Guide no. 52.

PubMed

Durning, Steven J; Artino, Anthony R

2011-01-01

Situativity theory refers to theoretical frameworks which argue that knowledge, thinking, and learning are situated (or located) in experience. The importance of context to these theories is paramount, including the unique contribution of the environment to knowledge, thinking, and learning; indeed, they argue that knowledge, thinking, and learning cannot be separated from (they are dependent upon) context. Situativity theory includes situated cognition, situated learning, ecological psychology, and distributed cognition. In this Guide, we first outline key tenets of situativity theory and then compare situativity theory to information processing theory; we suspect that the reader may be quite familiar with the latter, which has prevailed in medical education research. Contrasting situativity theory with information processing theory also serves to highlight some unique potential contributions of situativity theory to work in medical education. Further, we discuss each of these situativity theories and then relate the theories to the clinical context. Examples and illustrations for each of the theories are used throughout. We will conclude with some potential considerations for future exploration. Some implications of situativity theory include: a new way of approaching knowledge and how experience and the environment impact knowledge, thinking, and learning; recognizing that the situativity framework can be a useful tool to "diagnose" the teaching or clinical event; the notion that increasing individual responsibility and participation in a community (i.e., increasing "belonging") is essential to learning; understanding that the teaching and clinical environment can be complex (i.e., non-linear and multi-level); recognizing that explicit attention to how participants in a group interact with each other (not only with the teacher) and how the associated learning artifacts, such as computers, can meaningfully impact learning.

Confident but not theoretically grounded - experienced simulation educators' perceptions of their own professional development.

PubMed

Allvin, Renée; Berndtzon, Magnus; Carlzon, Liisa; Edelbring, Samuel; Hult, Håkan; Hultin, Magnus; Karlgren, Klas; Masiello, Italo; Södersved Källestedt, Marie-Louise; Tamás, Éva

2017-01-01

Medical simulation enables the design of learning activities for competency areas (eg, communication and leadership) identified as crucial for future health care professionals. Simulation educators and medical teachers follow different career paths, and their education backgrounds and teaching contexts may be very different in a simulation setting. Although they have a key role in facilitating learning, information on the continuing professional development (pedagogical development) of simulation educators is not available in the literature. To explore changes in experienced simulation educators' perceptions of their own teaching skills, practices, and understanding of teaching over time. A qualitative exploratory study. Fourteen experienced simulation educators participated in individual open-ended interviews focusing on their development as simulation educators. Data were analyzed using an inductive thematic analysis. Marked educator development was discerned over time, expressed mainly in an altered way of thinking and acting. Five themes were identified: shifting focus, from following to utilizing a structure, setting goals, application of technology, and alignment with profession. Being confident in the role as an instructor seemed to constitute a foundation for the instructor's pedagogical development. Experienced simulation educators' pedagogical development was based on self-confidence in the educator role, and not on a deeper theoretical understanding of teaching and learning. This is the first clue to gain increased understanding regarding educational level and possible education needs among simulation educators, and it might generate several lines of research for further studies.

Designing a Web-Based Science Learning Environment for Model-Based Collaborative Inquiry

NASA Astrophysics Data System (ADS)

Sun, Daner; Looi, Chee-Kit

2013-02-01

The paper traces a research process in the design and development of a science learning environment called WiMVT (web-based inquirer with modeling and visualization technology). The WiMVT system is designed to help secondary school students build a sophisticated understanding of scientific conceptions, and the science inquiry process, as well as develop critical learning skills through model-based collaborative inquiry approach. It is intended to support collaborative inquiry, real-time social interaction, progressive modeling, and to provide multiple sources of scaffolding for students. We first discuss the theoretical underpinnings for synthesizing the WiMVT design framework, introduce the components and features of the system, and describe the proposed work flow of WiMVT instruction. We also elucidate our research approach that supports the development of the system. Finally, the findings of a pilot study are briefly presented to demonstrate of the potential for learning efficacy of the WiMVT implementation in science learning. Implications are drawn on how to improve the existing system, refine teaching strategies and provide feedback to researchers, designers and teachers. This pilot study informs designers like us on how to narrow the gap between the learning environment's intended design and its actual usage in the classroom.

Theory and practice in continuing medical education.

PubMed

Amin, Z

2000-07-01

Continuing medical education (CME) represents the final and often most poorly understood stage of physician education. The understanding of contemporary theories of physician education and characteristics of effective CME interventions will help CME providers and physician learners to plan productive CME activities and improve learning. This article aims to provide readers with emerging evidences on effective CME, particularly in relation to theories of physician learning and their implications for CME planning. The article also summarises attributes of effective CME interventions. The data and evidence were collected from contemporary medical education journals and published books on medical education. Two electronic databases, Medline and ERIC (Educational Research Information Clearinghouse) were searched for suitable articles. Physician learning is a distinct phenomenon with high inclination towards autonomy and self-directed learning. CME interventions are more likely to be fruitful if they are modelled with strong theoretical background, catered towards individual learning needs and preferences, and focused on the learning component of education. Many widely practised CME interventions fail to be effective as those are not based on the above principles. Evidence suggests that careful planning and evaluation of CME will improve the key measure of physician's performance and health care outcome.

Partial Planning Reinforcement Learning

DTIC Science & Technology

2012-08-31

Research Office P.O. Box 12211 Research Triangle Park, NC 27709-2211 15. SUBJECT TERMS Reinforcement Learning, Bayesian Optimization, Active ... Learning , Action Model Learning, Decision Theoretic Assistance Prasad Tadepalli, Alan Fern Oregon State University Office of Sponsored Programs Oregon State

Physical Violence between Siblings: A Theoretical and Empirical Analysis

ERIC Educational Resources Information Center

Hoffman, Kristi L.; Kiecolt, K. Jill; Edwards, John N.

2005-01-01

This study develops and tests a theoretical model to explain sibling violence based on the feminist, conflict, and social learning theoretical perspectives and research in psychology and sociology. A multivariate analysis of data from 651 young adults generally supports hypotheses from all three theoretical perspectives. Males with brothers have…

Social Media and Seamless Learning: Lessons Learned

ERIC Educational Resources Information Center

Panke, Stefanie; Kohls, Christian; Gaiser, Birgit

2017-01-01

The paper discusses best practice approaches and metrics for evaluation that support seamless learning with social media. We draw upon the theoretical frameworks of social learning theory, transfer learning (bricolage), and educational design patterns to elaborate upon different ideas for ways in which social media can support seamless learning.…

Emotional experiences of preservice science teachers in online learning: the formation, disruption and maintenance of social bonds

NASA Astrophysics Data System (ADS)

Bellocchi, Alberto; Mills, Kathy A.; Ritchie, Stephen M.

2016-09-01

The enactment of learning to become a science teacher in online mode is an emotionally charged experience. We attend to the formation, maintenance and disruption of social bonds experienced by online preservice science teachers as they shared their emotional online learning experiences through blogs, or e-motion diaries, in reaction to videos of face-to-face lessons. A multi-theoretic framework drawing on microsociological perspectives of emotion informed our hermeneutic interpretations of students' first-person accounts reported through an e-motion diary. These accounts were analyzed through our own database of emotion labels constructed from the synthesis of existing literature on emotion across a range of fields of inquiry. Preservice science teachers felt included in the face-to-face group as they watched videos of classroom transactions. The strength of these feelings of social solidarity were dependent on the quality of the video recording. E-motion diaries provided a resource for interactions focused on shared emotional experiences leading to formation of social bonds and the alleviation of feelings of fear, trepidation and anxiety about becoming science teachers. We offer implications to inform practitioners who wish to improve feelings of inclusion amongst their online learners in science education.

“Not Designed for Us”: How Science Museums and Science Centers Socially Exclude Low-Income, Minority Ethnic Groups

PubMed Central

Dawson, Emily

2014-01-01

This paper explores how people from low-income, minority ethnic groups perceive and experience exclusion from informal science education (ISE) institutions, such as museums and science centers. Drawing on qualitative data from four focus groups, 32 interviews, four accompanied visits to ISE institutions, and field notes, this paper presents an analysis of exclusion from science learning opportunities during visits alongside participants’ attitudes, expectations, and conclusions about participation in ISE. Participants came from four community groups in central London: a Sierra Leonean group (n = 21), a Latin American group (n = 18), a Somali group (n = 6), and an Asian group (n = 13). Using a theoretical framework based on the work of Bourdieu, the analysis suggests ISE practices were grounded in expectations about visitors’ scientific knowledge, language skills, and finances in ways that were problematic for participants and excluded them from science learning opportunities. It is argued that ISE practices reinforced participants preexisting sense that museums and science centers were “not for us.” The paper concludes with a discussion of the findings in relation to previous research on participation in ISE and the potential for developing more inclusive informal science learning opportunities. PMID:25574059

What You Learn is What You See: Using Eye Movements to Study Infant Cross-Situational Word Learning

PubMed Central

Smith, Linda

2016-01-01

Recent studies show that both adults and young children possess powerful statistical learning capabilities to solve the word-to-world mapping problem. However, the underlying mechanisms that make statistical learning possible and powerful are not yet known. With the goal of providing new insights into this issue, the research reported in this paper used an eye tracker to record the moment-by-moment eye movement data of 14-month-old babies in statistical learning tasks. Various measures are applied to such fine-grained temporal data, such as looking duration and shift rate (the number of shifts in gaze from one visual object to the other) trial by trial, showing different eye movement patterns between strong and weak statistical learners. Moreover, an information-theoretic measure is developed and applied to gaze data to quantify the degree of learning uncertainty trial by trial. Next, a simple associative statistical learning model is applied to eye movement data and these simulation results are compared with empirical results from young children, showing strong correlations between these two. This suggests that an associative learning mechanism with selective attention can provide a cognitively plausible model of cross-situational statistical learning. The work represents the first steps to use eye movement data to infer underlying real-time processes in statistical word learning. PMID:22213894

The “Right Stuff” Revisited: What Have We Learned About the Determinants of Daily Functioning in Schizophrenia?

PubMed Central

Green, Michael F.; Llerena, Katiah; Kern, Robert S.

2015-01-01

It has been about 15 years since we published our article asking whether we are measuring the “Right Stuff” as we search for predictors and determinants of functional outcome in schizophrenia. At that time, we raised the question as to whether the neurocognitive assessments used to study outcome in schizophrenia were too narrow to capture the wide variability in factors that determine daily functioning. While the study of the determinants of functioning in schizophrenia has grown and matured, we are struck by 3 aspects of the article that evolved in different directions. First, the selection of outcome domains in the Right Stuff meta-analysis reflects a focus at that time on predictors of psychiatric rehabilitation. Second, expansion beyond traditional neurocognitive domains occurred in one suggested area (social cognition), but not another (learning potential). Third, the field has responded assertively to the recommendation to evaluate more informed and informative theoretical models. PMID:25750248

Finding the Return Path: Landmark Position Effects and the Influence of Perspective

PubMed Central

Karimpur, Harun; Röser, Florian; Hamburger, Kai

2016-01-01

Much research has been done on how people find their way from one place to another. Compared to that, there is less research available on how people find back from the destination to their origin. We first present theoretical approaches to perceptual and cognitive processes involved in finding a return path, including concepts, such as visibility, structural salience, and allocentric versus egocentric perspective, followed by a series of three experiments. In these experiments, we presented subjects intersections that contained landmark information on different positions. In order to investigate the processes involved, we used different measures, such as route-continuation (in learning direction and in opposite direction) and free-recall of route information. In summary, the results demonstrate the importance of landmark positions at intersections (structural salience in combination with perspective) and that finding the return path is more difficult than reproducing the same route from the learning condition. All findings will be discussed with respect to the current research literature on landmark-based wayfinding. PMID:28066283

Multi-Agent Inference in Social Networks: A Finite Population Learning Approach

PubMed Central

Tong, Xin; Zeng, Yao

2016-01-01

When people in a society want to make inference about some parameter, each person may want to use data collected by other people. Information (data) exchange in social networks is usually costly, so to make reliable statistical decisions, people need to trade off the benefits and costs of information acquisition. Conflicts of interests and coordination problems will arise in the process. Classical statistics does not consider people’s incentives and interactions in the data collection process. To address this imperfection, this work explores multi-agent Bayesian inference problems with a game theoretic social network model. Motivated by our interest in aggregate inference at the societal level, we propose a new concept, finite population learning, to address whether with high probability, a large fraction of people in a given finite population network can make “good” inference. Serving as a foundation, this concept enables us to study the long run trend of aggregate inference quality as population grows. PMID:27076691

Viewing Mobile Learning from a Pedagogical Perspective

ERIC Educational Resources Information Center

Kearney, Matthew; Schuck, Sandra; Burden, Kevin; Aubusson, Peter

2012-01-01

Mobile learning is a relatively new phenomenon and the theoretical basis is currently under development. The paper presents a pedagogical perspective of mobile learning which highlights three central features of mobile learning: authenticity, collaboration and personalisation, embedded in the unique timespace contexts of mobile learning. A…

Cooperative Learning in Elementary Schools

ERIC Educational Resources Information Center

Slavin, Robert E.

2015-01-01

Cooperative learning refers to instructional methods in which students work in small groups to help each other learn. Although cooperative learning methods are used for different age groups, they are particularly popular in elementary (primary) schools. This article discusses methods and theoretical perspectives on cooperative learning for the…

Social learning strategies.

PubMed

Laland, Kevin N

2004-02-01

In most studies of social learning in animals, no attempt has been made to examine the nature of the strategy adopted by animals when they copy others. Researchers have expended considerable effort in exploring the psychological processes that underlie social learning and amassed extensive data banks recording purported social learning in the field, but the contexts under which animals copy others remain unexplored. Yet, theoretical models used to investigate the adaptive advantages of social learning lead to the conclusion that social learning cannot be indiscriminate and that individuals should adopt strategies that dictate the circumstances under which they copy others and from whom they learn. In this article, I discuss a number of possible strategies that are predicted by theoretical analyses, including copy when uncertain, copy the majority, and copy if better, and consider the empirical evidence in support of each, drawing from both the animal and human social learning literature. Reliance on social learning strategies may be organized hierarchically, their being employed by animals when unlearned and asocially learned strategies prove ineffective but before animals take recourse in innovation.

Multi-View Budgeted Learning under Label and Feature Constraints Using Label-Guided Graph-Based Regularization

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

Symons, Christopher T; Arel, Itamar

2011-01-01

Budgeted learning under constraints on both the amount of labeled information and the availability of features at test time pertains to a large number of real world problems. Ideas from multi-view learning, semi-supervised learning, and even active learning have applicability, but a common framework whose assumptions fit these problem spaces is non-trivial to construct. We leverage ideas from these fields based on graph regularizers to construct a robust framework for learning from labeled and unlabeled samples in multiple views that are non-independent and include features that are inaccessible at the time the model would need to be applied. We describemore » examples of applications that fit this scenario, and we provide experimental results to demonstrate the effectiveness of knowledge carryover from training-only views. As learning algorithms are applied to more complex applications, relevant information can be found in a wider variety of forms, and the relationships between these information sources are often quite complex. The assumptions that underlie most learning algorithms do not readily or realistically permit the incorporation of many of the data sources that are available, despite an implicit understanding that useful information exists in these sources. When multiple information sources are available, they are often partially redundant, highly interdependent, and contain noise as well as other information that is irrelevant to the problem under study. In this paper, we are focused on a framework whose assumptions match this reality, as well as the reality that labeled information is usually sparse. Most significantly, we are interested in a framework that can also leverage information in scenarios where many features that would be useful for learning a model are not available when the resulting model will be applied. As with constraints on labels, there are many practical limitations on the acquisition of potentially useful features. A key difference in the case of feature acquisition is that the same constraints often don't pertain to the training samples. This difference provides an opportunity to allow features that are impractical in an applied setting to nevertheless add value during the model-building process. Unfortunately, there are few machine learning frameworks built on assumptions that allow effective utilization of features that are only available at training time. In this paper we formulate a knowledge carryover framework for the budgeted learning scenario with constraints on features and labels. The approach is based on multi-view and semi-supervised learning methods that use graph-encoded regularization. Our main contributions are the following: (1) we propose and provide justification for a methodology for ensuring that changes in the graph regularizer using alternate views are performed in a manner that is target-concept specific, allowing value to be obtained from noisy views; and (2) we demonstrate how this general set-up can be used to effectively improve models by leveraging features unavailable at test time. The rest of the paper is structured as follows. In Section 2, we outline real-world problems to motivate the approach and describe relevant prior work. Section 3 describes the graph construction process and the learning methodologies that are employed. Section 4 provides preliminary discussion regarding theoretical motivation for the method. In Section 5, effectiveness of the approach is demonstrated in a series of experiments employing modified versions of two well-known semi-supervised learning algorithms. Section 6 concludes the paper.« less

Unsupervised active learning based on hierarchical graph-theoretic clustering.

PubMed

Hu, Weiming; Hu, Wei; Xie, Nianhua; Maybank, Steve

2009-10-01

Most existing active learning approaches are supervised. Supervised active learning has the following problems: inefficiency in dealing with the semantic gap between the distribution of samples in the feature space and their labels, lack of ability in selecting new samples that belong to new categories that have not yet appeared in the training samples, and lack of adaptability to changes in the semantic interpretation of sample categories. To tackle these problems, we propose an unsupervised active learning framework based on hierarchical graph-theoretic clustering. In the framework, two promising graph-theoretic clustering algorithms, namely, dominant-set clustering and spectral clustering, are combined in a hierarchical fashion. Our framework has some advantages, such as ease of implementation, flexibility in architecture, and adaptability to changes in the labeling. Evaluations on data sets for network intrusion detection, image classification, and video classification have demonstrated that our active learning framework can effectively reduce the workload of manual classification while maintaining a high accuracy of automatic classification. It is shown that, overall, our framework outperforms the support-vector-machine-based supervised active learning, particularly in terms of dealing much more efficiently with new samples whose categories have not yet appeared in the training samples.

First-Year Biology Students' Understandings of Meiosis: An Investigation Using a Structural Theoretical Framework

ERIC Educational Resources Information Center

Quinn, Frances; Pegg, John; Panizzon, Debra

2009-01-01

Meiosis is a biological concept that is both complex and important for students to learn. This study aims to explore first-year biology students' explanations of the process of meiosis, using an explicit theoretical framework provided by the Structure of the Observed Learning Outcome (SOLO) model. The research was based on responses of 334…

Learning as the Construction and Re-Mediation of Activity Systems: Environmental Management in Biogas Production

ERIC Educational Resources Information Center

Pereira Querol, Marco A.; Suutari, Timo; Seppanen, Laura

2010-01-01

The purpose of this paper is to present theoretical tools for understanding the dynamics of change and learning during the emergence and development of environmental management activities. The methodology consists of a historical analysis of a case of biogas production that took place in the Southwest region of Finland. The theoretical tools used…

Principal polynomial analysis.

PubMed

Laparra, Valero; Jiménez, Sandra; Tuia, Devis; Camps-Valls, Gustau; Malo, Jesus

2014-11-01

This paper presents a new framework for manifold learning based on a sequence of principal polynomials that capture the possibly nonlinear nature of the data. The proposed Principal Polynomial Analysis (PPA) generalizes PCA by modeling the directions of maximal variance by means of curves, instead of straight lines. Contrarily to previous approaches, PPA reduces to performing simple univariate regressions, which makes it computationally feasible and robust. Moreover, PPA shows a number of interesting analytical properties. First, PPA is a volume-preserving map, which in turn guarantees the existence of the inverse. Second, such an inverse can be obtained in closed form. Invertibility is an important advantage over other learning methods, because it permits to understand the identified features in the input domain where the data has physical meaning. Moreover, it allows to evaluate the performance of dimensionality reduction in sensible (input-domain) units. Volume preservation also allows an easy computation of information theoretic quantities, such as the reduction in multi-information after the transform. Third, the analytical nature of PPA leads to a clear geometrical interpretation of the manifold: it allows the computation of Frenet-Serret frames (local features) and of generalized curvatures at any point of the space. And fourth, the analytical Jacobian allows the computation of the metric induced by the data, thus generalizing the Mahalanobis distance. These properties are demonstrated theoretically and illustrated experimentally. The performance of PPA is evaluated in dimensionality and redundancy reduction, in both synthetic and real datasets from the UCI repository.

A Collaborative Diagonal Learning Network: The role of formal and informal professional development in elementary science reform

NASA Astrophysics Data System (ADS)

Cooke-Nieves, Natasha Anika

Science education research has consistently shown that elementary teachers have a low self-efficacy and background knowledge to teach science. When they teach science, there is a lack of field experiences and inquiry-based instruction at the elementary level due to limited resources, both material and pedagogical. This study focused on an analysis of a professional development (PD) model designed by the author known as the Collaborative Diagonal Learning Network (CDLN). The purpose of this study was to examine elementary school teacher participants pedagogical content knowledge related to their experiences in a CDLN model. The CDLN model taught formal and informal instruction using a science coach and an informal educational institution. Another purpose for this research included a theoretical analysis of the CDLN model to see if its design enabled teachers to expand their resource knowledge of available science education materials. The four-month-long study used qualitative data obtained during an in-service professional development program facilitated by a science coach and educators from a large natural history museum. Using case study as the research design, four elementary school teachers were asked to evaluate the effectiveness of their science coach and museum educator workshop sessions. During the duration of this study, semi-structured individual/group interviews and open-ended pre/post PD questionnaires were used. Other data sources included researcher field notes from lesson observations, museum field trips, audio-recorded workshop sessions, email correspondence, and teacher-created artifacts. The data were analyzed using a constructivist grounded theory approach. Themes that emerged included increased self-efficacy; increased pedagogical content knowledge; increased knowledge of museum education resources and access; creation of a professional learning community; and increased knowledge of science notebooking. Implications for formal and informal professional development in elementary science reform are offered. It is suggested that researchers investigate collaborative coaching through the lenses of organizational learning network theory, and develop professional learning communities with formal and informal educators; and that professional developers in city school systems and informal science institutions work in concert to produce more effective elementary teachers who not only love science but love teaching it.

Community, Collective or Movement? Evaluating Theoretical Perspectives on Network Building

NASA Astrophysics Data System (ADS)

Spitzer, W.

2015-12-01

Since 2007, the New England Aquarium has led a national effort to increase the capacity of informal science venues to effectively communicate about climate change. We are now leading the NSF-funded National Network for Ocean and Climate Change Interpretation (NNOCCI), partnering with the Association of Zoos and Aquariums, FrameWorks Institute, Woods Hole Oceanographic Institution, Monterey Bay Aquarium, and National Aquarium, with evaluation conducted by the New Knowledge Organization, Pennsylvania State University, and Ohio State University. NNOCCI enables teams of informal science interpreters across the country to serve as "communication strategists" - beyond merely conveying information they can influence public perceptions, given their high level of commitment, knowledge, public trust, social networks, and visitor contact. We provide in-depth training as well as an alumni network for ongoing learning, implementation support, leadership development, and coalition building. Our goals are to achieve a systemic national impact, embed our work within multiple ongoing regional and national climate change education networks, and leave an enduring legacy. What is the most useful theoretical model for conceptualizing the work of the NNOCCI community? This presentation will examine the pros and cons of three perspectives -- community of practice, collective impact, and social movements. The community of practice approach emphasizes use of common tools, support for practice, social learning, and organic development of leadership. A collective impact model focuses on defining common outcomes, aligning activities toward a common goal, structured collaboration. A social movement emphasizes building group identity and creating a sense of group efficacy. This presentation will address how these models compare in terms of their utility in program planning and evaluation, their fit with the unique characteristics of the NNOCCI community, and their relevance to our program goals.

Brain connectivity during encoding and retrieval of spatial information: individual differences in navigation skills.

PubMed

Sharma, Greeshma; Gramann, Klaus; Chandra, Sushil; Singh, Vijander; Mittal, Alok Prakash

2017-09-01

Emerging evidence suggests that the variations in the ability to navigate through any real or virtual environment are accompanied by distinct underlying cortical activations in multiple regions of the brain. These activations may appear due to the use of different frame of reference (FOR) for representing an environment. The present study investigated the brain dynamics in the good and bad navigators using Graph Theoretical analysis applied to low-density electroencephalography (EEG) data. Individual navigation skills were rated according to the performance in a virtual reality (VR)-based navigation task and the effect of navigator's proclivity towards a particular FOR on the navigation performance was explored. Participants were introduced to a novel virtual environment that they learned from a first-person or an aerial perspective and were subsequently assessed on the basis of efficiency with which they learnt and recalled. The graph theoretical parameters, path length (PL), global efficiency (GE), and clustering coefficient (CC) were computed for the functional connectivity network in the theta and alpha frequency bands. During acquisition of the spatial information, good navigators were distinguished by a lower degree of dispersion in the functional connectivity compared to the bad navigators. Within the groups of good and bad navigators, better performers were characterised by the formation of multiple hubs at various sites and the percentage of connectivity or small world index. The proclivity towards a specific FOR during exploration of a new environment was not found to have any bearing on the spatial learning. These findings may have wider implications for how the functional connectivity in the good and bad navigators differs during spatial information acquisition and retrieval in the domains of rescue operations and defence systems.

Kindling Fires: Examining the Potential for Cumulative Learning in a Journalism Curriculum

ERIC Educational Resources Information Center

Kilpert, Leigh; Shay, Suellen

2013-01-01

This study investigated context-dependency of learning as an indicator for students' potential to continue learning after graduation. We used Maton's theoretical concepts of "cumulative" and "segmented" learning, and "semantic gravity", to look for context-independent learning in students' assessments in a Journalism…

Toward a Meta-Theory of Learning and Performance

ERIC Educational Resources Information Center

Russ-Eft, Darlene

2004-01-01

This purpose of this paper is to identify implications of various learning theories for workplace learning and performance and HRD. It begins with a review of various theoretical positions on learning including behaviorism, Gestalt theory, cognitive theory, schema theory, connectionist theory, social learning or behavior modeling, social…

Cultural Learning Redux

ERIC Educational Resources Information Center

Tomasello, Michael

2016-01-01

M. Tomasello, A. Kruger, and H. Ratner (1993) proposed a theory of cultural learning comprising imitative learning, instructed learning, and collaborative learning. Empirical and theoretical advances in the past 20 years suggest modifications to the theory; for example, children do not just imitate but overimitate in order to identify and…

Counterfactual thinking and emotions: regret and envy learning

PubMed Central

Coricelli, Giorgio; Rustichini, Aldo

2010-01-01

Emotions like regret and envy share a common origin: they are motivated by the counterfactual thinking of what would have happened had we made a different choice. When we contemplate the outcome of a choice we made, we may use the information on the outcome of a choice we did not make. Regret is the purely private comparison between two choices that we could have taken, envy adds to this the information on outcome of choices of others. However, envy has a distinct social component, in that it adds the change in the social ranking that follows a difference in the outcomes. We study the theoretical foundation and the experimental test of this view. PMID:20026462

Sources of self-efficacy in academic contexts: A longitudinal perspective.

PubMed

Phan, Huy P; Ngu, Bing H

2016-12-01

The formation of self-efficacy, according to Bandura's (1997) social-cognitive theory, is an important area of inquiry. This theoretical tenet posits the importance of enactive learning experience, followed by lesser influences of vicarious experience, verbal persuasion, and emotional and physiological states. Quantitative research, predominantly, has produced clear and consistent evidence that supports this position. We argue that the elementary school years may indicate differently, whereby children's limited cognitive maturity and learning experiences could compel them to rely on other psychosocial informational sources. To date and to our knowledge, very few studies, if any, have explored the sustained influence of enactive learning experience across time. In this study, consequently, we tested a sequential predictive model that involved the differential influences of the 4 major informational sources on self-efficacy and then self-efficacy on academic achievement. Three time points of data (N = 328, Year 6) were collected across the calendar year, and Mplus 7.3 (Muthén & Muthén, 1998-2012) was used to assist us in our structural modeling testing. At Time 1, only enactive learning experience and vicarious experience positively influenced self-efficacy. At Time 2, after controlling for prior variance of Time 1 corresponding factors, only enactive learning experience remained significant. At Time 3, after controlling for autoregressive paths, enactive learning experience remained significant, and both verbal persuasion and emotional and physiological states positively influenced self-efficacy. The impact of self-efficacy on academic achievement was significant across the 3 occasions (βs = .20-.46). (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Assessing Learning, Quality and Engagement in Learning Objects: The Learning Object Evaluation Scale for Students (LOES-S)

ERIC Educational Resources Information Center

Kay, Robin H.; Knaack, Liesel

2009-01-01

Learning objects are interactive web-based tools that support the learning of specific concepts by enhancing, amplifying, and/or guiding the cognitive processes of learners. Research on the impact, effectiveness, and usefulness of learning objects is limited, partially because comprehensive, theoretically based, reliable, and valid evaluation…

Using Instructional Pervasive Game for School Children's Cultural Learning

ERIC Educational Resources Information Center

Chen, Cheng-Ping; Shih, Ju-Ling; Ma, Yi-Chun

2014-01-01

In the past ten years, mobile learning (m-learning) has created a new learning environment that enables learners, through active learning aids. Instructional pervasive gaming (IPG) seems to be an innovative way introduced to enhance m-learning. This study employed a theoretical IPG model to construct a cultural-based pervasive game. Individual and…

Analysis of Theoretical Relationships between Learning Styles of Students and Their Preferences for Learning Activities.

ERIC Educational Resources Information Center

Rollins, Timothy J.

1990-01-01

A study of 10,603 students enrolled in 262 secondary agricultural programs examined learning styles and individual preferences and tested the Myers-Briggs theory that certain learning activities are associated with learning styles. Confirmed the Myers-Briggs finding that 70 percent prefer the sensing learning style. (JOW)

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

ERIC Educational Resources Information Center

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…

Improving Teaching Quality and the Learning Organisation

ERIC Educational Resources Information Center

Collie, Sarah L.; Taylor, Alton L.

2004-01-01

This study applied a learning organisation framework to understand academic departments' efforts to improve teaching quality. The theoretical framework was generated from literature on learning organisations, organisations devoted to continuous improvement through continuous learning. Research questions addressed relationships among departments'…

Learning spatially coherent properties of the visual world in connectionist networks

NASA Astrophysics Data System (ADS)

Becker, Suzanna; Hinton, Geoffrey E.

1991-10-01

In the unsupervised learning paradigm, a network of neuron-like units is presented with an ensemble of input patterns from a structured environment, such as the visual world, and learns to represent the regularities in that input. The major goal in developing unsupervised learning algorithms is to find objective functions that characterize the quality of the network's representation without explicitly specifying the desired outputs of any of the units. The sort of objective functions considered cause a unit to become tuned to spatially coherent features of visual images (such as texture, depth, shading, and surface orientation), by learning to predict the outputs of other units which have spatially adjacent receptive fields. Simulations show that using an information-theoretic algorithm called IMAX, a network can be trained to represent depth by observing random dot stereograms of surfaces with continuously varying disparities. Once a layer of depth-tuned units has developed, subsequent layers are trained to perform surface interpolation of curved surfaces, by learning to predict the depth of one image region based on depth measurements in surrounding regions. An extension of the basic model allows a population of competing neurons to learn a distributed code for disparity, which naturally gives rise to a representation of discontinuities.

Social learning and human mate preferences: a potential mechanism for generating and maintaining between-population diversity in attraction

PubMed Central

Little, Anthony C.; Jones, Benedict C.; DeBruine, Lisa M.; Caldwell, Christine A.

2011-01-01

Inspired by studies demonstrating mate-choice copying effects in non-human species, recent studies of attractiveness judgements suggest that social learning also influences human preferences. In the first part of our article, we review evidence for social learning effects on preferences in humans and other animals. In the second part, we present new empirical evidence that social learning not only influences the attractiveness of specific individuals, but can also generalize to judgements of previously unseen individuals possessing similar physical traits. The different conditions represent different populations and, once a preference arises in a population, social learning can lead to the spread of preferences within that population. In the final part of our article, we discuss the theoretical basis for, and possible impact of, biases in social learning whereby individuals may preferentially copy the choices of those with high status or better access to critical information about potential mates. Such biases could mean that the choices of a select few individuals carry the greatest weight, rapidly generating agreement in preferences within a population. Collectively, these issues suggest that social learning mechanisms encourage the spread of preferences for certain traits once they arise within a population and so may explain certain cross-cultural differences. PMID:21199841

Adaptive categorization of ART networks in robot behavior learning using game-theoretic formulation.

PubMed

Fung, Wai-keung; Liu, Yun-hui

2003-12-01

Adaptive Resonance Theory (ART) networks are employed in robot behavior learning. Two of the difficulties in online robot behavior learning, namely, (1) exponential memory increases with time, (2) difficulty for operators to specify learning tasks accuracy and control learning attention before learning. In order to remedy the aforementioned difficulties, an adaptive categorization mechanism is introduced in ART networks for perceptual and action patterns categorization in this paper. A game-theoretic formulation of adaptive categorization for ART networks is proposed for vigilance parameter adaptation for category size control on the categories formed. The proposed vigilance parameter update rule can help improving categorization performance in the aspect of category number stability and solve the problem of selecting initial vigilance parameter prior to pattern categorization in traditional ART networks. Behavior learning using physical robot is conducted to demonstrate the effectiveness of the proposed adaptive categorization mechanism in ART networks.

Morphological Constraints on Cerebellar Granule Cell Combinatorial Diversity.

PubMed

Gilmer, Jesse I; Person, Abigail L

2017-12-13

Combinatorial expansion by the cerebellar granule cell layer (GCL) is fundamental to theories of cerebellar contributions to motor control and learning. Granule cells (GrCs) sample approximately four mossy fiber inputs and are thought to form a combinatorial code useful for pattern separation and learning. We constructed a spatially realistic model of the cerebellar GCL and examined how GCL architecture contributes to GrC combinatorial diversity. We found that GrC combinatorial diversity saturates quickly as mossy fiber input diversity increases, and that this saturation is in part a consequence of short dendrites, which limit access to diverse inputs and favor dense sampling of local inputs. This local sampling also produced GrCs that were combinatorially redundant, even when input diversity was extremely high. In addition, we found that mossy fiber clustering, which is a common anatomical pattern, also led to increased redundancy of GrC input combinations. We related this redundancy to hypothesized roles of temporal expansion of GrC information encoding in service of learned timing, and we show that GCL architecture produces GrC populations that support both temporal and combinatorial expansion. Finally, we used novel anatomical measurements from mice of either sex to inform modeling of sparse and filopodia-bearing mossy fibers, finding that these circuit features uniquely contribute to enhancing GrC diversification and redundancy. Our results complement information theoretic studies of granule layer structure and provide insight into the contributions of granule layer anatomical features to afferent mixing. SIGNIFICANCE STATEMENT Cerebellar granule cells are among the simplest neurons, with tiny somata and, on average, just four dendrites. These characteristics, along with their dense organization, inspired influential theoretical work on the granule cell layer as a combinatorial expander, where each granule cell represents a unique combination of inputs. Despite the centrality of these theories to cerebellar physiology, the degree of expansion supported by anatomically realistic patterns of inputs is unknown. Using modeling and anatomy, we show that realistic input patterns constrain combinatorial diversity by producing redundant combinations, which nevertheless could support temporal diversification of like combinations, suitable for learned timing. Our study suggests a neural substrate for producing high levels of both combinatorial and temporal diversity in the granule cell layer. Copyright © 2017 the authors 0270-6474/17/3712153-14$15.00/0.

Myths and legends in learning classification rules

NASA Technical Reports Server (NTRS)

Buntine, Wray

1990-01-01

A discussion is presented of machine learning theory on empirically learning classification rules. Six myths are proposed in the machine learning community that address issues of bias, learning as search, computational learning theory, Occam's razor, universal learning algorithms, and interactive learning. Some of the problems raised are also addressed from a Bayesian perspective. Questions are suggested that machine learning researchers should be addressing both theoretically and experimentally.

Acceptance of technology-enhanced learning for a theoretical radiological science course: a randomized controlled trial.

PubMed

Nkenke, Emeka; Vairaktaris, Elefterios; Bauersachs, Anne; Eitner, Stephan; Budach, Alexander; Knipfer, Christoph; Stelzle, Florian

2012-03-30

Technology-enhanced learning (TEL) gives a view to improved education. However, there is a need to clarify how TEL can be used effectively. The study compared students' attitudes and opinions towards a traditional face-to-face course on theoretical radiological science and a TEL course where students could combine face-to-face lectures and e-learning modules at their best convenience. 42 third-year dental students were randomly assigned to the traditional face-to-face group and the TEL group. Both groups completed questionnaires before the beginning and after completion of the course on attitudes and opinions towards a traditional face-to-face lectures and technology-enhanced learning. After completion of the course both groups also filled in the validated German-language TRIL (Trierer Inventar zur Lehrevaluation) questionnaire for the evaluation of courses given at universities. Both groups had a positive attitude towards e-learning that did not change over time. The TEL group attended significantly less face-to-face lectures than the traditional group. However, both groups stated that face-to-face lectures were the basis for education in a theoretical radiological science course. The members of the TEL group rated e-mail reminders significantly more important when they filled in the questionnaire on attitudes and opinions towards a traditional face-to-face lectures and technology-enhanced learning for the second time after completion of the course. The members of the technology-enhanced learning group were significantly less confident in passing the exam compared to the members of the traditional group. However, examination results did not differ significantly for traditional and the TEL group. It seems that technology-enhanced learning in a theoretical radiological science course has the potential to reduce the need for face-to-face lectures. At the same time examination results are not impaired. However, technology-enhanced learning cannot completely replace traditional face-to-face lectures, because students indicate that they consider traditional teaching as the basis of their education.

Model United Nations and Deep Learning: Theoretical and Professional Learning

ERIC Educational Resources Information Center

Engel, Susan; Pallas, Josh; Lambert, Sarah

2017-01-01

This article demonstrates that the purposeful subject design, incorporating a Model United Nations (MUN), facilitated deep learning and professional skills attainment in the field of International Relations. Deep learning was promoted in subject design by linking learning objectives to Anderson and Krathwohl's (2001) four levels of knowledge or…

Developing Learning Theory by Refining Conjectures Embodied in Educational Designs

ERIC Educational Resources Information Center

Sandoval, William A.

2004-01-01

Designed learning environments embody conjectures about learning and instruction, and the empirical study of learning environments allows such conjectures to be refined over time. The construct of embodied conjecture is introduced as a way to demonstrate the theoretical nature of learning environment design and to frame methodological issues in…

Foundations of Game-Based Learning

ERIC Educational Resources Information Center

Plass, Jan L.; Homer, Bruce D.; Kinzer, Charles K.

2015-01-01

In this article we argue that to study or apply games as learning environments, multiple perspectives have to be taken into account. We first define game-based learning and gamification, and then discuss theoretical models that describe learning with games, arguing that playfulness is orthogonal to learning theory. We then review design elements…

Student Perceptions of E-Learning Environments, Self-Regulated Learning and Academic Performance

ERIC Educational Resources Information Center

Covington, Keisha Casan Danielle

2012-01-01

Student perceptions of e-learning are potential causes of student dropout in online education. The social cognitive theoretical view was used to investigate the relationship between perceived e-learning environments, self-regulated learning (SRL), and academic performance in online education. This mixed methods study used a quantitative…

Cooperative Learning in the Thinking Classroom: Research and Theoretical Perspectives.

ERIC Educational Resources Information Center

Lee, Christine; And Others

As a classroom organization and instructional method, cooperative learning merits serious consideration for use in thinking classrooms. Cooperative learning is more than just groupwork. In traditional group learning, students work in groups with no attention paid to group functioning, whereas in cooperative learning, group work is carefully…

An Examination of Learning Profiles in Physical Education

ERIC Educational Resources Information Center

Shen, Bo; Chen, Ang

2007-01-01

Using the model of domain learning as a theoretical framework, the study was designed to examine the extent to which learners' initial learning profiles based on previously acquired knowledge, learning strategy application, and interest-based motivation were distinctive in learning softball. Participants were 177 sixth-graders from three middle…

Examining Hypermedia Learning: The Role of Cognitive Load and Self-Regulated Learning

ERIC Educational Resources Information Center

Moos, Daniel

2013-01-01

Distinct theoretical perspectives, Cognitive Load Theory and Self-Regulated Learning (SRL) theory, have been used to examine individual differences the challenges faced with hypermedia learning. However, research has tended to use these theories independently, resulting in less robust explanations of hypermedia learning. This study examined the…

Social Learning in MMOG: An Activity Theoretical Perspective

ERIC Educational Resources Information Center

Ang, Chee Siang; Zaphiris, Panayiotis

2008-01-01

Purpose: Recently, researchers have begun investigating the learning process that occurs within computer games (learning to play), as opposed to studying games that support explicit learning for educational purposes (playing to learn). With the increasing popularity of massively multiplayer online games (MMOGs), some research has begun to look…

Stealing Knowledge in a Landscape of Learning: Conceptualizations of Jazz Education

ERIC Educational Resources Information Center

Bjerstedt, Sven

2016-01-01

Theoretical approaches to learning in practice-based jazz improvisation contexts include situated learning and ecological perspectives. This article focuses on how interest-driven, self-sustaining jazz learning activities can be matched against the concepts of stolen knowledge (Brown & Duguid, 1996) and landscape of learning (Bjerstedt, 2014).…

An Ecological Approach to Learning Dynamics

ERIC Educational Resources Information Center

Normak, Peeter; Pata, Kai; Kaipainen, Mauri

2012-01-01

New approaches to emergent learner-directed learning design can be strengthened with a theoretical framework that considers learning as a dynamic process. We propose an approach that models a learning process using a set of spatial concepts: learning space, position of a learner, niche, perspective, step, path, direction of a step and step…

Toward an Instructionally Oriented Theory of Example-Based Learning

ERIC Educational Resources Information Center

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…

The Organizational Learning Cycle. How We Can Learn Collectively.

ERIC Educational Resources Information Center

Dixon, Nancy

This book, which is designed for individuals interested in changing and developing their organizations, examines the organizational learning cycle and ways of learning collectively. Among the topics discussed in the book's nine chapters are the following: (1) changing nature of work and organizational learning; (2) theoretical framework of…

Conceptualizing Learning in the Climate Justice Movement

ERIC Educational Resources Information Center

Kluttz, Jenalee; Walter, Pierre

2018-01-01

This article extends Scandrett et al.'s conceptual framework for social movement learning to understand learning and knowledge creation in the climate justice movement. Drawing on radical pluralist theoretical approaches to social movement learning, learning in the climate justice movement is conceptualized at the micro, meso, and macro levels,…

The development and evaluation of a 'blended' enquiry based learning model for mental health nursing students: "making your experience count".

PubMed

Rigby, Lindsay; Wilson, Ian; Baker, John; Walton, Tim; Price, Owen; Dunne, Kate; Keeley, Philip

2012-04-01

To meet the demands required for safe and effective care, nurses must be able to integrate theoretical knowledge with clinical practice (Kohen and Lehman, 2008; Polit and Beck, 2008; Shirey, 2006). This should include the ability to adapt research in response to changing clinical environments and the changing needs of service users. It is through reflective practice that students develop their clinical reasoning and evaluation skills to engage in this process. This paper aims to describe the development, implementation and evaluation of a project designed to provide a structural approach to the recognition and resolution of clinical, theoretical and ethical dilemmas identified by 3rd year undergraduate mental health nursing students. This is the first paper to describe the iterative process of developing a 'blended' learning model which provides students with an opportunity to experience the process of supervision and to become more proficient in using information technology to develop and maintain their clinical skills. Three cohorts of student nurses were exposed to various combinations of face to face group supervision and a virtual learning environment (VLE) in order to apply their knowledge of good practice guidelines and evidenced-based practice to identified clinical issues. A formal qualitative evaluation using independently facilitated focus groups was conducted with each student cohort and thematically analysed (Miles & Huberman, 1994). The themes that emerged were: relevance to practice; facilitation of independent learning; and the discussion of clinical issues. The results of this study show that 'blending' face-to-face groups with an e-learning component was the most acceptable and effective form of delivery which met the needs of students' varied learning styles. Additionally, students reported that they were more aware of the importance of clinical supervision and of their role as supervisees. Copyright © 2011 Elsevier Ltd. All rights reserved.

Multiuser virtual worlds in healthcare education: A systematic review.

PubMed

Liaw, Sok Ying; Carpio, Guiller Augustin C; Lau, Ying; Tan, Seng Chee; Lim, Wee Shiong; Goh, Poh Sun

2018-06-01

The use of multiuser virtual worlds (MUVWs) for collaborative learning has generated interest among healthcare educators. Published evidence to support its use is growing, but none has synthesized the evidence to guide future work. This study sought to provide a comprehensive and systematic evaluation of MUVWs in healthcare education. A systematic review METHODS: A systematic search of five databases including CINAHL, Cochrane library, EMBASE, PubMed, and Scopus, was conducted from inception up to January 2017. Two independent researchers selected studies that met the inclusion criteria and assessed for methodological quality using the Medical Education Research Study Quality Instrument (MERSQI). A total of 18 studies were reviewed and their data were synthesized narratively using a 3-P model (presage-process-product). Average scores in the MERSQI for methodological quality are 10/18, which is modest. A rally by the government or professional bodies towards more collaborative working among healthcare professionals is a key driver behind implementing MUVWs. Funding is important for its development and evaluation. Team training in acute care and communication training were the most frequent learning objectives, and predominant learning activities include practice on simulation scenario and debriefing. Two-thirds of the studies did not explain their theoretical framework that underpinned their design and implementation of MUVWs. While MUVWs in healthcare education is generally well-received, learning outcomes remain inconclusive. Despite a growth of studies on the use of MUVW in healthcare education, there is a need for more understanding of the application of theories to inform the learning activities. Therefore, we suggest educators to incorporate a theoretical model to explain the learning processes behind MUVWs. To improve the quality of evidence, we call for researchers to employ a more rigorous and broader approach to evaluation that explicates longer-term outcomes, including cost benefit analyses. Copyright © 2018 Elsevier Ltd. All rights reserved.

The role of learning-related dopamine signals in addiction vulnerability.

PubMed

Huys, Quentin J M; Tobler, Philippe N; Hasler, Gregor; Flagel, Shelly B

2014-01-01

Dopaminergic signals play a mathematically precise role in reward-related learning, and variations in dopaminergic signaling have been implicated in vulnerability to addiction. Here, we provide a detailed overview of the relationship between theoretical, mathematical, and experimental accounts of phasic dopamine signaling, with implications for the role of learning-related dopamine signaling in addiction and related disorders. We describe the theoretical and behavioral characteristics of model-free learning based on errors in the prediction of reward, including step-by-step explanations of the underlying equations. We then use recent insights from an animal model that highlights individual variation in learning during a Pavlovian conditioning paradigm to describe overlapping aspects of incentive salience attribution and model-free learning. We argue that this provides a computationally coherent account of some features of addiction. © 2014 Elsevier B.V. All rights reserved.

Online and Certifiable Spectroscopy Courses Using Information and Communication Tools. a Model for Classrooms and Beyond

NASA Astrophysics Data System (ADS)

Krishnan, Mangala Sunder

2015-06-01

Online education tools and flipped (reverse) class models for teaching and learning and pedagogic and andragogic approaches to self-learning have become quite mature in the last few years because of the revolution in video, interactive software and social learning tools. Open Educational resources of dependable quality and variety are also becoming available throughout the world making the current era truly a renaissance period for higher education using Internet. In my presentation, I shall highlight structured course content preparation online in several areas of spectroscopy and also the design and development of virtual lab tools and kits for studying optical spectroscopy. Both elementary and advanced courses on molecular spectroscopy are currently under development jointly with researchers in other institutions in India. I would like to explore participation from teachers throughout the world in the teaching-learning process using flipped class methods for topics such as experimental and theoretical microwave spectroscopy of semi-rigid and non-rigid molecules, molecular complexes and aggregates. In addition, courses in Raman, Infrared spectroscopy experimentation and advanced electronic spectroscopy courses are also envisaged for free, online access. The National Programme on Technology Enhanced Learning (NPTEL) and the National Mission on Education through Information and Communication Technology (NMEICT) are two large Government of India funded initiatives for producing certified and self-learning courses with financial support for moderated discussion forums. The learning tools and interactive presentations so developed can be used in classrooms throughout the world using flipped mode of teaching. They are very much sought after by learners and researchers who are in other areas of learning but want to contribute to research and development through inter-disciplinary learning. NPTEL is currently is experimenting with Massive Open Online Course (MOOC) strategy, but with proctored and certified examination processes for large numbers in some of the above courses. I would like to present a summary of developments in these areas to help focus classroom (online and offline) learning of Molecular spectroscopy.

Efficient differentially private learning improves drug sensitivity prediction.

PubMed

Honkela, Antti; Das, Mrinal; Nieminen, Arttu; Dikmen, Onur; Kaski, Samuel

2018-02-06

Users of a personalised recommendation system face a dilemma: recommendations can be improved by learning from data, but only if other users are willing to share their private information. Good personalised predictions are vitally important in precision medicine, but genomic information on which the predictions are based is also particularly sensitive, as it directly identifies the patients and hence cannot easily be anonymised. Differential privacy has emerged as a potentially promising solution: privacy is considered sufficient if presence of individual patients cannot be distinguished. However, differentially private learning with current methods does not improve predictions with feasible data sizes and dimensionalities. We show that useful predictors can be learned under powerful differential privacy guarantees, and even from moderately-sized data sets, by demonstrating significant improvements in the accuracy of private drug sensitivity prediction with a new robust private regression method. Our method matches the predictive accuracy of the state-of-the-art non-private lasso regression using only 4x more samples under relatively strong differential privacy guarantees. Good performance with limited data is achieved by limiting the sharing of private information by decreasing the dimensionality and by projecting outliers to fit tighter bounds, therefore needing to add less noise for equal privacy. The proposed differentially private regression method combines theoretical appeal and asymptotic efficiency with good prediction accuracy even with moderate-sized data. As already the simple-to-implement method shows promise on the challenging genomic data, we anticipate rapid progress towards practical applications in many fields. This article was reviewed by Zoltan Gaspari and David Kreil.