The Master Adaptive Learner

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The Master Adaptive Learner

William Cutrer,Martin Pusic,Larry D Gruppen,Maya M. Hammoud,Sally A. Santen
The Master Adaptive Learner Book PDF

Author : William Cutrer,Martin Pusic,Larry D Gruppen,Maya M. Hammoud,Sally A. Santen
Publisher : Elsevier Health Sciences
Page : 242 pages
File Size : 48,8 Mb
Release : 2019-09-29
Category : Medical
ISBN : 9780323711128

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The Master Adaptive Learner by William Cutrer,Martin Pusic,Larry D Gruppen,Maya M. Hammoud,Sally A. Santen Pdf

Tomorrow’s best physicians will be those who continually learn, adjust, and innovate as new information and best practices evolve, reflecting adaptive expertise in response to practice challenges. As the first volume in the American Medical Association’s MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to train and teach future clinicians who need to develop these adaptive skills and utilize them throughout their careers. Explains and clarifies the concept of a Master Adaptive Learner: a metacognitive approach to learning based on self-regulation that fosters the success and use of adaptive expertise in practice. Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement a Master Adaptive Learner approach in today’s institutions. Gives instructors the tools needed to empower students to become efficient and successful adaptive learners. Helps medical faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century healthcare systems. One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the ACE (Accelerating Change in Medical Education) Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.

The Master Adaptive Learner

William Cutrer,Martin Pusic,Maya M. Hammoud, M.D.,Larry D. Gruppen,Sally A. Santen
The Master Adaptive Learner Book PDF

Author : William Cutrer,Martin Pusic,Maya M. Hammoud, M.D.,Larry D. Gruppen,Sally A. Santen
Publisher : Elsevier
Page : 224 pages
File Size : 46,8 Mb
Release : 2019-10-14
Category : Electronic
ISBN : 0323711111

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The Master Adaptive Learner by William Cutrer,Martin Pusic,Maya M. Hammoud, M.D.,Larry D. Gruppen,Sally A. Santen Pdf

Tomorrow's best physicians will be those who continually learn, adjust, and innovate as new information and best practices evolve, reflecting adaptive expertise in response to practice challenges. As the first volume in the American Medical Association's MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to train and teach future clinicians who need to develop these adaptive skills and utilize them throughout their careers. Explains and clarifies the concept of a Master Adaptive Learner: a metacognitive approach to learning based on self-regulation that fosters the success and use of adaptive expertise in practice. Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement a Master Adaptive Learner approach in today's institutions. Gives instructors the tools needed to empower students to become efficient and successful adaptive learners. Helps medical faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century healthcare systems. One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the ACE (Accelerating Change in Medical Education) Consortium - a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects. Expert ConsultT eBook version included with purchase. This enhanced eBook experience allows you to search all of the text, figures, and references from the book on a variety of devices.

Innovative Trends in Flipped Teaching and Adaptive Learning

Sein-Echaluce, María Luisa,Fidalgo-Blanco, Ángel,García-Peñalvo, Francisco José
Innovative Trends in Flipped Teaching and Adaptive Learning Book PDF

Author : Sein-Echaluce, María Luisa,Fidalgo-Blanco, Ángel,García-Peñalvo, Francisco José
Publisher : IGI Global
Page : 306 pages
File Size : 47,6 Mb
Release : 2019-05-15
Category : Education
ISBN : 9781522581437

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Innovative Trends in Flipped Teaching and Adaptive Learning by Sein-Echaluce, María Luisa,Fidalgo-Blanco, Ángel,García-Peñalvo, Francisco José Pdf

Understanding new educational innovations is essential for the improvement of the training and learning process. In order to effectively implement these new tools in the classroom, teachers and trainers need access to real-life cases in which these methods were successfully used. Innovative Trends in Flipped Teaching and Adaptive Learning is a critical scholarly resource that examines current advances in educational innovation and presents cases that allow for the improvement of personalized and active learning. Featuring a wide range of topics such as higher education, teacher education, and learning strategies, this book is ideal for educators, instructional designers, academicians, researchers, and students.

Innovative Learning Environments in STEM Higher Education

Jungwoo Ryoo,Kurt Winkelmann
Innovative Learning Environments in STEM Higher Education Book PDF

Author : Jungwoo Ryoo,Kurt Winkelmann
Publisher : Springer Nature
Page : 148 pages
File Size : 52,7 Mb
Release : 2021-03-11
Category : Social Science
ISBN : 9783030589486

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Innovative Learning Environments in STEM Higher Education by Jungwoo Ryoo,Kurt Winkelmann Pdf

As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.

Adaptive Behavior and Learning

J. E. R. Staddon
Adaptive Behavior and Learning Book PDF

Author : J. E. R. Staddon
Publisher : Cambridge University Press
Page : 619 pages
File Size : 40,5 Mb
Release : 2016-03-10
Category : Psychology
ISBN : 9781107082472

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Adaptive Behavior and Learning by J. E. R. Staddon Pdf

Summarizes the current state of both theoretical and experimental knowledge about learning in animals.

Personalization and Collaboration in Adaptive E-Learning

Tadlaoui, Mouenis Anouar,Khaldi, Mohamed
Personalization and Collaboration in Adaptive E Learning Book PDF

Author : Tadlaoui, Mouenis Anouar,Khaldi, Mohamed
Publisher : IGI Global
Page : 348 pages
File Size : 51,9 Mb
Release : 2019-12-13
Category : Education
ISBN : 9781799814948

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Personalization and Collaboration in Adaptive E-Learning by Tadlaoui, Mouenis Anouar,Khaldi, Mohamed Pdf

As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how knowledge is learned and pays attention to the activities, cognitive structures, and context of the learning material. The adaptive term refers to the automatic adaptation of the system to the learner. The needs of the learner are borne by the system itself. The learner did not ask to change the parameters of the system to his own needs; it is rather the needs of the learner that will be supposed by the system. The system adapts according to this necessity. Personalization and Collaboration in Adaptive E-Learning is an essential reference book that aims to describe the specific steps in designing a scenario for a collaborative learning activity in the particular context of personalization in adaptive systems and the key decisions that need to be made by the teacher-learner. By applying theoretical and practical aspects of personalization in adaptive systems and applications within education, this collection features coverage on a broad range of topics that include adaptive teaching, personalized learning, and instructional design. This book is ideally designed for instructional designers, curriculum developers, educational software developers, IT specialists, educational administrators, professionals, professors, researchers, and students seeking current research on comparative studies and the pedagogical issues of personalized and collaborative learning.

Understanding Medical Education

Tim Swanwick,Kirsty Forrest,Bridget C. O'Brien
Understanding Medical Education Book PDF

Author : Tim Swanwick,Kirsty Forrest,Bridget C. O'Brien
Publisher : John Wiley & Sons
Page : 43 pages
File Size : 54,5 Mb
Release : 2019-01-04
Category : Medical
ISBN : 9781119373827

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Understanding Medical Education by Tim Swanwick,Kirsty Forrest,Bridget C. O'Brien Pdf

Created in partnership with the Association for the Study of Medical Education (ASME), this completely revised and updated new edition of Understanding Medical Education synthesizes the latest knowledge, evidence and best practice across the continuum of medical education. Written and edited by an international team, this latest edition continues to cover a wide range of subject matter within five broad areas – Foundations, Teaching and Learning, Assessment and Selection, Research and Evaluation, and Faculty and Learners – as well as featuring a wealth of new material, including new chapters on the science of learning, knowledge synthesis, and learner support and well-being. The third edition of Understanding Medical Education: Provides a comprehensive and authoritative resource summarizing the theoretical and academic bases to modern medical education practice Meets the needs of all newcomers to medical education whether undergraduate or postgraduate, including those studying at certificate, diploma or masters level Offers a global perspective on medical education from leading experts from across the world Providing practical guidance and exploring medical education in all its diversity, Understanding Medical Education continues to be an essential resource for both established educators and all those new to the field.

Learning for Adaptive and Reactive Robot Control

Aude Billard,Sina Mirrazavi,Nadia Figueroa
Learning for Adaptive and Reactive Robot Control Book PDF

Author : Aude Billard,Sina Mirrazavi,Nadia Figueroa
Publisher : MIT Press
Page : 425 pages
File Size : 45,7 Mb
Release : 2022-02-08
Category : Technology & Engineering
ISBN : 9780262367011

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Learning for Adaptive and Reactive Robot Control by Aude Billard,Sina Mirrazavi,Nadia Figueroa Pdf

Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Value-Added Roles for Medical Students, E-Book

Jed D. Gonzalo,Maya M. Hammoud,Gregory W. Schneider
Value Added Roles for Medical Students E Book Book PDF

Author : Jed D. Gonzalo,Maya M. Hammoud,Gregory W. Schneider
Publisher : Elsevier Health Sciences
Page : 172 pages
File Size : 52,9 Mb
Release : 2021-07-29
Category : Medical
ISBN : 9780323759519

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Value-Added Roles for Medical Students, E-Book by Jed D. Gonzalo,Maya M. Hammoud,Gregory W. Schneider Pdf

Providing real-life clinical experiences and context to medical students is an essential part of today’s medical education, and the partnerships between medical schools and health systems are an integral part of this approach. Value-Added Roles for Medical Students, the second volume in the American Medical Association’s MedEd Innovation Series, is a first-of-its-kind, instructor-focused field book that inspires educators to transform the relationship between medical schools and health systems with authentic workplace roles for medical students, adding relevance to medical education and patient care.. Gives instructors the tools needed to create roles for medical students in the health system that benefit the student’s growth, empathy, and understanding of patient needs; develop a working knowledge of the health system itself; and provide true value to both the health system and patient experience. Contains both theoretical and practical material for instructors and administrators, including guidance on how to implement value-added roles for medical students in today’s institutions. Explains how to apply a framework to implement value-added clinical systems learning roles for students, develop meaningful medical school-health system partnerships, and train a generation of future physicians prepared to lead health systems change. Provides numerous examples from schools with successful implementation of value-added medical student roles such as patient navigators, community-based health care programs involving medical students, and more. Describes real-world strategies for building mutually beneficial medical school-health system partnerships, including developing a shared vision and strategy and identifying learning goals and objectives; empowering broad-based action and overcoming barriers in implementation; and generating short-term wins in implementation. Helps medical school faculty and instructors address gaps in physician training and prepare new doctors to practice effectively in 21st century health care systems. One of the American Medical Association Change MedEd initiatives and innovations, written and edited by members of the Accelerating Change in Medical Education Consortium – a unique, innovative collaborative that allows for the sharing and dissemination of groundbreaking ideas and projects.

Handbook of Research on Modern Educational Technologies, Applications, and Management

Khosrow-Pour D.B.A., Mehdi
Handbook of Research on Modern Educational Technologies Applications and Management Book PDF

Author : Khosrow-Pour D.B.A., Mehdi
Publisher : IGI Global
Page : 950 pages
File Size : 51,8 Mb
Release : 2020-07-10
Category : Education
ISBN : 9781799834779

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Handbook of Research on Modern Educational Technologies, Applications, and Management by Khosrow-Pour D.B.A., Mehdi Pdf

As technology and technological advancements become a more prevalent and essential aspect of daily and business life, educational institutions must keep pace in order to maintain relevance and retain their ability to adequately prepare students for their lives beyond education. Such institutions and their leaders are seeking relevant strategies for the implementation and effective use of new and upcoming technologies and leadership strategies to best serve students and educators within educational settings. As traditional education methods become more outdated, strategies to supplement and bolster them through technology and effective management become essential to the success of institutions and programs. The Handbook of Research on Modern Educational Technologies, Applications, and Management is an all-encompassing two-volume scholarly reference comprised of 58 original and previously unpublished research articles that provide cutting-edge, multidisciplinary research and expert insights on advancing technologies used in educational settings as well as current strategies for administrative and leadership roles in education. Covering a wide range of topics including but not limited to community engagement, educational games, data management, and mobile learning, this publication provides insights into technological advancements with educational applications and examines forthcoming implementation strategies. These strategies are ideal for teachers, instructional designers, curriculum developers, educational software developers, and information technology specialists looking to promote effective learning in the classroom through cutting-edge learning technologies, new learning theories, and successful leadership tactics. Administrators, educational leaders, educational policymakers, and other education professionals will also benefit from this publication by utilizing the extensive research on managing educational institutions and providing valuable training and professional development initiatives as well as implementing the latest administrative technologies. Additionally, academicians, researchers, and students in areas that include but are not limited to educational technology, academic leadership, mentorship, learning environments, and educational support systems will benefit from the extensive research compiled within this publication.

Deep Learning

Ian Goodfellow,Yoshua Bengio,Aaron Courville
Deep Learning Book PDF

Author : Ian Goodfellow,Yoshua Bengio,Aaron Courville
Publisher : MIT Press
Page : 801 pages
File Size : 49,7 Mb
Release : 2016-11-10
Category : Computers
ISBN : 9780262337373

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Deep Learning by Ian Goodfellow,Yoshua Bengio,Aaron Courville Pdf

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

The Question of Competence

Brian D. Hodges,Lorelei Lingard
The Question of Competence Book PDF

Author : Brian D. Hodges,Lorelei Lingard
Publisher : Cornell University Press
Page : 239 pages
File Size : 47,6 Mb
Release : 2012-10-11
Category : Medical
ISBN : 9780801465369

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The Question of Competence by Brian D. Hodges,Lorelei Lingard Pdf

Medical competence is a hot topic surrounded by much controversy about how to define competency, how to teach it, and how to measure it. While some debate the pros and cons of competence-based medical education and others explain how to achieve various competencies, the authors of the seven chapters in The Question of Competence offer something very different. They critique the very notion of competence itself and attend to how it has shaped what we pay attention to—and what we ignore—in the education and assessment of medical trainees. Two leading figures in the field of medical education, Brian D. Hodges and Lorelei Lingard, drew together colleagues from the United States, Canada, and the Netherlands to explore competency from different perspectives, in order to spark thoughtful discussion and debate on the subject. The critical analyses included in the book’s chapters cover the role of emotion, the implications of teamwork, interprofessional frameworks, the construction of expertise, new directions for assessment, models of self-regulation, and the concept of mindful practice. The authors juxtapose the idea of competence with other highly valued ideas in medical education such as emotion, cognition and teamwork, drawing new insights about their intersections and implications for one another.

Probabilistic Machine Learning

Kevin P. Murphy
Probabilistic Machine Learning Book PDF

Author : Kevin P. Murphy
Publisher : MIT Press
Page : 858 pages
File Size : 55,7 Mb
Release : 2022-03-01
Category : Computers
ISBN : 9780262369305

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Probabilistic Machine Learning by Kevin P. Murphy Pdf

A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. Probabilistic Machine Learning grew out of the author’s 2012 book, Machine Learning: A Probabilistic Perspective. More than just a simple update, this is a completely new book that reflects the dramatic developments in the field since 2012, most notably deep learning. In addition, the new book is accompanied by online Python code, using libraries such as scikit-learn, JAX, PyTorch, and Tensorflow, which can be used to reproduce nearly all the figures; this code can be run inside a web browser using cloud-based notebooks, and provides a practical complement to the theoretical topics discussed in the book. This introductory text will be followed by a sequel that covers more advanced topics, taking the same probabilistic approach.

How Learning Works

Susan A. Ambrose,Michael W. Bridges,Michele DiPietro,Marsha C. Lovett,Marie K. Norman
How Learning Works Book PDF

Author : Susan A. Ambrose,Michael W. Bridges,Michele DiPietro,Marsha C. Lovett,Marie K. Norman
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 53,8 Mb
Release : 2010-04-16
Category : Education
ISBN : 9780470617601

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How Learning Works by Susan A. Ambrose,Michael W. Bridges,Michele DiPietro,Marsha C. Lovett,Marie K. Norman Pdf

Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

Reinforcement Learning, second edition

Richard S. Sutton,Andrew G. Barto
Reinforcement Learning second edition Book PDF

Author : Richard S. Sutton,Andrew G. Barto
Publisher : MIT Press
Page : 549 pages
File Size : 49,5 Mb
Release : 2018-11-13
Category : Computers
ISBN : 9780262352703

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Reinforcement Learning, second edition by Richard S. Sutton,Andrew G. Barto Pdf

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.