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Improving Adaptive Learning Technology Through the Use of Response Times

Improving Adaptive Learning Technology Through the Use of Response Times PDF Author: Everett Mettler
Publisher:
ISBN:
Category :
Languages : en
Pages : 7

Book Description
Adaptive learning techniques have typically scheduled practice using learners' accuracy and item presentation history. We describe an adaptive learning system (Adaptive Response Time Based Sequencing--ARTS) that uses both accuracy and response time (RT) as direct inputs into sequencing. Response times are used to assess learning strength and to determine mastery, making both fluency and accuracy goals of learning. ARTS optimizes spacing by expanding item recurrence intervals as an inverse function of RT. In Experiment 1, we compared ARTS to Atkinson's (1972) Markov model system using geography learning and found substantially greater learning efficiency for ARTS. In Experiment 2, we deployed the system in a real learning setting. Third graders attending an online school mastered basic multiplication facts in about two hours using ARTS, outperforming a control group using standard instruction. These results suggest that response time-based adaptive learning has remarkable potential to enhance learning in many domains. [This paper was published in: L. Carlson, C. Hoelscher, & T. Shipley (Eds.), "Expanding the Space of Cognitive Science: Proceedings of the 33rd Annual Conference of the Cognitive Science Society" (pp. 2532-2537). Austin, TX: Cognitive Science Society.].

Improving Adaptive Learning Technology Through the Use of Response Times

Improving Adaptive Learning Technology Through the Use of Response Times PDF Author: Everett Mettler
Publisher:
ISBN:
Category :
Languages : en
Pages : 7

Book Description
Adaptive learning techniques have typically scheduled practice using learners' accuracy and item presentation history. We describe an adaptive learning system (Adaptive Response Time Based Sequencing--ARTS) that uses both accuracy and response time (RT) as direct inputs into sequencing. Response times are used to assess learning strength and to determine mastery, making both fluency and accuracy goals of learning. ARTS optimizes spacing by expanding item recurrence intervals as an inverse function of RT. In Experiment 1, we compared ARTS to Atkinson's (1972) Markov model system using geography learning and found substantially greater learning efficiency for ARTS. In Experiment 2, we deployed the system in a real learning setting. Third graders attending an online school mastered basic multiplication facts in about two hours using ARTS, outperforming a control group using standard instruction. These results suggest that response time-based adaptive learning has remarkable potential to enhance learning in many domains. [This paper was published in: L. Carlson, C. Hoelscher, & T. Shipley (Eds.), "Expanding the Space of Cognitive Science: Proceedings of the 33rd Annual Conference of the Cognitive Science Society" (pp. 2532-2537). Austin, TX: Cognitive Science Society.].

Adaptive Instructional Systems

Adaptive Instructional Systems PDF Author: Robert A. Sottilare
Publisher: Springer Nature
ISBN: 3030507882
Category : Computers
Languages : en
Pages : 582

Book Description
This volume constitutes the refereed proceedings of the Second International Conference on Adaptive Instructional Systems, AIS 2020, which was due to be held in July 2020 as part of HCI International 2020 in Copenhagen, Denmark. The conference was held virtually due to the COVID-19 pandemic. A total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings from a total of 6326 submissions. The 41 papers presented in this volume were organized in topical sections as follows: designing and developing adaptive instructional systems; learner modelling and methods of adaptation; evaluating the effectiveness of adaptive instructional systems. Chapter "Exploring Video Engagement in an Intelligent Tutoring System" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Chapters “An Ambient and Pervasive Personalized Learning Ecosystem: “Smart Learning” in the Age of the Internet of Things“ and “Exploring Video Engagement in an Intelligent Tutoring System" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Rheumatology Teaching

Rheumatology Teaching PDF Author: Yasser El Miedany
Publisher: Springer
ISBN: 3319982133
Category : Medical
Languages : en
Pages : 520

Book Description
This book provides a comprehensive, state-of-the art overview of medical teaching methodologies with a particular focus on rheumatology. It discusses why teaching medicine requires a review, explains barriers to learning, outlines fresh teaching methods, and includes student-centered learning activities. It introduces novice medical teachers as well as more experienced educators to the exciting new models of medical education, innovative teaching approaches, and challenges they may face whether working in undergraduate, post-graduate, or continuous medical education. Since “Great teachers are made, not born”, this book presents the interactive pattern of the art and science of teaching and serves as a guide to becoming a highly effective medical educator. Rheumatology Teaching: The Art and Science of Medical Education is an essential text for physicians and related professionals who have special interest in medical education and particularly musculoskeletal teaching as well as instructors in nursing, physiotherapy, and physician assistant programs.

Technologies in Biomedical and Life Sciences Education

Technologies in Biomedical and Life Sciences Education PDF Author: Harry J. Witchel
Publisher: Springer Nature
ISBN: 3030956334
Category : Science
Languages : en
Pages : 586

Book Description
This contributed volume focuses on understanding the educational strengths and weaknesses of mediated content (including media as a learning supplement), in comparison to traditional face-to-face learning. Each chapter includes research on, and a broad-brush summary of, approaches to combining life sciences education with educational technologies. The chapters are organized into four main sections, each of which focuses on a key question regarding the consequences of incorporating media into education. In this regard, the authors highlight how educational technology is both a bridge and barrier to student access and inclusivity. Further, they address the ongoing discussion as to whether students need to be present for lectures, and on how having agency in their own learning can improve both retention and conceptual understanding. To link the content to current events, the authors also shed light on the impact that the COVID-19 pandemic is having on the continuity of educational programs and on the growing importance of educational technologies. Consequently, the book offers life science educators valuable guidance on the technologies already available, and an outlook on what is yet to come.

Big Data in Cognitive Science

Big Data in Cognitive Science PDF Author: Michael N. Jones
Publisher: Psychology Press
ISBN: 1315413566
Category : Computers
Languages : en
Pages : 384

Book Description
The primary goal of this volume is to present cutting-edge examples of mining large and naturalistic datasets to discover important principles of cognition and to evaluate theories in a way that would not be possible without such scale. It explores techniques that have been underexploited by cognitive psychologists and explains how big data from numerous sources can inform researchers with different research interests and shed further light on how brain, cognition and behavior are interconnected. The book fills a major gap in the literature and has the potential to rapidly advance knowledge throughout the field. It is essential reading for any cognitive psychology researcher.

Fostering Pedagogy Through Micro and Adaptive Learning in Higher Education: Trends, Tools, and Applications

Fostering Pedagogy Through Micro and Adaptive Learning in Higher Education: Trends, Tools, and Applications PDF Author: Queirós, Ricardo
Publisher: IGI Global
ISBN: 1668486571
Category : Education
Languages : en
Pages : 395

Book Description
Fostering Pedagogy Through Micro and Adaptive Learning in Higher Education: Trends, Tools, and Applications is a timely and groundbreaking book that addresses the challenges of engaging the digital generations in the teaching-learning process, intensified by the pandemic. Written by Ricardo Queirós, a renowned researcher in e-learning interoperability and programming languages, the book offers a unique perspective on using micro and adaptive learning approaches to create immersive and personalized environments that cater to the learning styles and paces of diverse students. The book covers innovative trends, tools, and applications that enable educators to implement pedagogical practices that enhance the teaching-learning experience. It explores topics such as artificial intelligence in education, adaptive hypermedia, differentiated instruction, and micro-gamification design, providing readers with practical tools to create personalized and immersive learning environments. This book is a valuable resource for professors of any domain, practitioners, and students pursuing education, as well as research scholars looking to expand their understanding of e-learning and pedagogical innovation. It is a must-read for anyone interested in the future of education and how digital technologies can be leveraged to create engaging and immersive learning environments.

Intelligent and Adaptive Learning Systems

Intelligent and Adaptive Learning Systems PDF Author: Sabine Graf
Publisher: IGI Global
ISBN: 9781609608422
Category : Computers
Languages : en
Pages : 0

Book Description
"This book focuses on how intelligent support and adaptive features can be integrated in currently used learning systems and discusses how intelligent and adaptive learning systems can be improved in order to provide a better learning environment for learners"--Provided by publisher.

Current Research in Neuroadaptive Technology

Current Research in Neuroadaptive Technology PDF Author: Stephen H. Fairclough
Publisher: Academic Press
ISBN: 0128214147
Category : Science
Languages : en
Pages : 484

Book Description
Current Research in Neuroadaptive Technology provides readers with insight into the state-of-the-art field of neuroadaptive technology. The book covers the breadth and depth of current research in this field, covering a range of application domains in sufficient technical detail. The multidisciplinary character of this field means that the publication of key research is often fragmented across specialist journals. Here, the editors have consolidated current research, carefully selecting key topics that are clustered around the concept of neuroadaptive technology. In summary, the book meets the needs of readers by consolidating multidisciplinary research around a nascent technological concept. The topic of neuroadaptive technology is novel and contemporary and editors Dr. Stephen H. Fairclough and Dr. Thorsten O. Zander have captured issues related to this emerging technology at the point of inception. It is a key reference for biomedical engineers and researchers in neural engineering, biomedical engineering, computer science, and mathematics. Includes applications of neuroadaptive technology in a variety of disciplines Comprises in-depth technical coverage of Passive Brain-Computer Interfaces, Physiological Computing, Affective Computing, Neurofeedback, and Closed-Loop Human-Computer Interaction Covers topics such as monitoring safety-critical behaviour, brain-computer interfaces, neurofeedback, virtual reality, neurostimulation, tangible interfaces, mobile brain-body imaging, system taxonomy and ethical implications of neuroadaptive technology Covers applied research using techniques such as: EEG, fNIRS, eye-tracking, psychophysiology, spontaneous radio frequency transmission and tDCS Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and its applications

Adaptive Learning Technologies for Higher Education

Adaptive Learning Technologies for Higher Education PDF Author: Minh Tung, Tran
Publisher: IGI Global
ISBN:
Category : Education
Languages : en
Pages : 457

Book Description
In today's rapidly evolving higher education landscape, educators face the daunting challenge of providing meaningful and compelling learning experiences to diverse students. The integration of technology, the shift towards student-centered learning, and the imperative to foster inclusive environments all contribute to the complexity of this task. Traditional teaching methods are needed to meet these demands, requiring educators to adapt and innovate in their approaches. Adaptive Learning Technologies for Higher Education offers a comprehensive solution to these challenges. By focusing on specific learning experiences and a variety of methodologies, including online platforms and gamification, the book provides practical techniques to enhance classroom environments. It also emphasizes technology integration, skills-based learning programs, and inclusivity, addressing critical areas of concern for educators seeking to improve student engagement and outcomes.

Technology Enhanced Learning and Cognition

Technology Enhanced Learning and Cognition PDF Author: Itiel E. Dror
Publisher: John Benjamins Publishing
ISBN: 9027222576
Category : Language Arts & Disciplines
Languages : en
Pages : 277

Book Description
The use of technology in learning has increased dramatically. Training and education is now utilizing and almost integrated with the World Wide Web, podcasts, mobile and distant learning, interactive videos, serious games, and a whole range of e-learning. However, has such technology enhanced learning been effective? And how can it better serve training and education?E-learning must be 'brain friendly', so it optimizes learning to the cognitive architecture of the learners. If technology enhanced learning promotes the formation of effective mental representations and works with the human cognitive system, then the learners will not only be able to acquire information more efficiently, but they will also remember it better and use it. Technology should not be the driving force in shaping e-learning, but rather how that technology can better serve the cognitive system. This volume, originally published as a special issue of Pragmatics & Cognition 16:2 (2008) and partly in Pragmatics & Cognition 17:1 (2009), explores the research frontiers in cognition and learning technology. It provides important theoretical insights into these issues, as well as very practical implications of how to make e-learning more brain friendly and effective.