Learning Theory

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Introduction to Theories of Learning

Author : Matthew H. Olson
Publisher : Psychology Press
Page : 480 pages
File Size : 40,6 Mb
Release : 2015-07-22
Category : Education
ISBN : 9781317350699

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Introduction to Theories of Learning by Matthew H. Olson Pdf

Defines learning and shows how the learning process is studied. Clearly written and user-friendly, Introduction to the Theories of Learning places learning in its historical perspective and provides appreciation for the figures and theories that have shaped 100 years of learning theory research. The 9th edition has been updated with the most current research in the field. With Pearson's MySearchLab with interactive eText and Experiment's Tool, this program is more user-friendly than ever. Learning Goals Upon completing this book, readers should be able to: Define learning and show how the learning process is studied Place learning theory in historical perspective Present essential features of the major theories of learning with implications for educational practice Note: MySearchLab does not come automatically packaged with this text. To purchase MySearchLab, please visit: www.mysearchlab.com or you can purchase a ValuePack of the text + MySearchLab (at no additional cost).

Learning Theory and Online Technologies

Author : Linda Harasim
Publisher : Routledge
Page : 276 pages
File Size : 42,5 Mb
Release : 2012-03-22
Category : Education
ISBN : 9781136937750

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Learning Theory and Online Technologies by Linda Harasim Pdf

Learning Theory and Online Technologies offers a powerful overview of the current state of elearning, a foundation of its historical roots and growth, and a framework for distinguishing among the major approaches to elearning. It effectively addresses pedagogy (how to design an effective online environment for learning), evaluation (how to know that students are learning), and history (how past research can guide successful online teaching and learning outcomes). An ideal textbook for undergraduate education and communication programs, and Educational Technology Masters, PhD, and Certificate programs, readers will find Learning Theory and Online Technologies provides a synthesis of the key advances in elearning theory, the key frameworks of research, and clearly links theory and research to successful learning practice.

Universal Design for Learning

Author : Anne Meyer,David Gordon,David H. Rose
Publisher : CAST Professional Publishing
Page : 234 pages
File Size : 48,7 Mb
Release : 2015-12
Category : Education
ISBN : 1930583540

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Universal Design for Learning by Anne Meyer,David Gordon,David H. Rose Pdf

Anne Meyer and David Rose, who first laid out the principles of UDL, provide an ambitious, engaging discussion of new research and best practices. This book gives the UDL field an essential and authoritative learning resource for the coming years. In the 1990s, Anne Meyer, David Rose, and their colleagues at CAST introduced Universal Design for Learning (UDL) as a framework to improve teaching and learning in the digital age, sparking an international reform movement. Now Meyer and Rose return with Universal Design for Learning: Theory and Practice, an up-to-date multimedia online book (with print and e-book options) that leverages more than a decade of research and implementation. This is the first significant new statement on UDL since 2002, an ambitious, engaging exploration of ideas and best practices that provides the growing UDL field with an essential and authoritative learning resource for the coming years. This new work includes contributions from CAST's research and implementation teams as well as from many of CAST's collaborators in schools, universities, and research settings. Readers are invited to contribute ideas, perspectives, and examples from their own practice in an online community of practice. --

An Introduction to Computational Learning Theory

Author : Michael J. Kearns,Umesh Vazirani
Publisher : MIT Press
Page : 230 pages
File Size : 48,8 Mb
Release : 1994-08-15
Category : Computers
ISBN : 0262111934

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An Introduction to Computational Learning Theory by Michael J. Kearns,Umesh Vazirani Pdf

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.

The Principles of Deep Learning Theory

Author : Daniel A. Roberts,Sho Yaida,Boris Hanin
Publisher : Cambridge University Press
Page : 473 pages
File Size : 43,9 Mb
Release : 2022-05-26
Category : Computers
ISBN : 9781316519332

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The Principles of Deep Learning Theory by Daniel A. Roberts,Sho Yaida,Boris Hanin Pdf

This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Understanding Machine Learning

Author : Shai Shalev-Shwartz,Shai Ben-David
Publisher : Cambridge University Press
Page : 415 pages
File Size : 52,6 Mb
Release : 2014-05-19
Category : Computers
ISBN : 9781107057135

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Understanding Machine Learning by Shai Shalev-Shwartz,Shai Ben-David Pdf

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Learning Theory

Author : Felipe Cucker,Ding Xuan Zhou
Publisher : Cambridge University Press
Page : 128 pages
File Size : 53,5 Mb
Release : 2007-03-29
Category : Computers
ISBN : 9781139462860

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Learning Theory by Felipe Cucker,Ding Xuan Zhou Pdf

The goal of learning theory is to approximate a function from sample values. To attain this goal learning theory draws on a variety of diverse subjects, specifically statistics, approximation theory, and algorithmics. Ideas from all these areas blended to form a subject whose many successful applications have triggered a rapid growth during the last two decades. This is the first book to give a general overview of the theoretical foundations of the subject emphasizing the approximation theory, while still giving a balanced overview. It is based on courses taught by the authors, and is reasonably self-contained so will appeal to a broad spectrum of researchers in learning theory and adjacent fields. It will also serve as an introduction for graduate students and others entering the field, who wish to see how the problems raised in learning theory relate to other disciplines.

Adult Learning

Author : Sharan B. Merriam,Laura L. Bierema
Publisher : John Wiley & Sons
Page : 322 pages
File Size : 53,6 Mb
Release : 2013-09-03
Category : Education
ISBN : 9781118416310

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Adult Learning by Sharan B. Merriam,Laura L. Bierema Pdf

Solidly grounded in theory and research, but concise and practice-oriented, Adult Learning: Linking Theory and Practice is perfect for master’s-level students and practitioners alike. Sharan Merriam and Laura Bierema have infused each chapter with practical applications for instruction which will help readers personally relate to the material. The contents covers: Adult Learning in Today’s World Traditional Learning Theories Andragogy Self-Directed Learning Transformative Learning Experience and Learning Body and Spirit in Learning Motivation and Learning The Brain and Cognitive Functioning Adult Learning in the Digital Age Critical Thinking and Critical Perspectives Culture and Context Discussion questions and activities for reflection are included at the end of each chapter.

Clinical Applications of Learning Theory

Author : Mark Haselgrove,Lee Hogarth
Publisher : Psychology Press
Page : 265 pages
File Size : 41,6 Mb
Release : 2013-06-17
Category : Psychology
ISBN : 9781136634093

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Clinical Applications of Learning Theory by Mark Haselgrove,Lee Hogarth Pdf

This book examines a variety of psychological disorders from the perspective of the psychology of learning. Grounded in the study of classical and instrumental conditioning, learning theory provides an explanatory framework for the way in which humans acquire information, and when applied, how abnormalities in learning may give rise to clinical conditions. This edited volume addresses a wide range of clinically relevant issues in chapters written by international experts in each field. Individual chapters present experimental research into the neuropsychological basis of the acquisition of fears, phobias and clinical aversions, the placebo and nocebo effects, the psychology of drug addiction and relapse following clinical treatment, as well as the role of learning in Tourette’s syndrome, depression and schizophrenia. This book will be particularly useful for undergraduate and postgraduate students of clinical psychology, behavioural neuroscience and those studying the applications of learning theory to clinical or psychiatric research.

Motivating Students

Author : Armstrong, Steve,Brown, Sally (Educational Development Adviser, University of Northumbria, Newcastle),Thompson, Gail
Publisher : Routledge
Page : 224 pages
File Size : 40,5 Mb
Release : 2014-05-22
Category : Education
ISBN : 9781135368067

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Motivating Students by Armstrong, Steve,Brown, Sally (Educational Development Adviser, University of Northumbria, Newcastle),Thompson, Gail Pdf

This work brings together the experience of educators, trainers and students searching for ways of increasing student motivation. Links between motivation and training, learning and assessment processes are examined through case studies set in a broad range of subject discipline contexts.

Learning Theories: An Educational Perspective

Author : Dale H. Schunk
Publisher : Pearson Higher Ed
Page : 571 pages
File Size : 48,7 Mb
Release : 2013-08-27
Category : Psychology
ISBN : 9781292033860

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Learning Theories: An Educational Perspective by Dale H. Schunk Pdf

For Learning Theory/Cognition and Instruction, Advanced Educational Psychology, and Introductory Educational Psychology courses. An essential resource for understanding the main principles, concepts, and research findings of key learning theories –especially as they relate to education–this proven text blends theory, research, and applications throughout, providing its readers with a coherent and unified perspective on learning in educational settings. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Learning Theories Simplified

Author : Bob Bates
Publisher : SAGE
Page : 483 pages
File Size : 55,5 Mb
Release : 2019-01-15
Category : Education
ISBN : 9781526468604

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Learning Theories Simplified by Bob Bates Pdf

Are you struggling to get your head around John Dewey’s educational pragmatism? What exactly is Jean Piaget saying about cognitive development? Maybe you’re running out of time and patience making sense of Carol Dweck’s mindsets? Have you reached breaking point reading Daniel T. Willingham on educational neuroscience? Written for busy teachers, trainers, managers and students, this ′dip-in, dip-out′ guide makes theories of learning accessible and practical. It explores 130 classic and contemporary learning theorists in an easy-to-use, bite-sized format with clear relevant illustrations on how each theory will benefit teaching and learning. Each model or theory is explained in less than 350 words, followed by a ′how to use it′ section. What′s new to this edition: A new early childhood theorists section A new communication theories section Additional ‘on trend’ theorists throughout New ‘critical view’ features added to each entry.

Systems that Learn

Author : Sanjay Jain
Publisher : MIT Press
Page : 346 pages
File Size : 49,5 Mb
Release : 1999
Category : Computers
ISBN : 0262100770

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Systems that Learn by Sanjay Jain Pdf

This introduction to the concepts and techniques of formal learning theory is based on a number-theoretical approach to learning and uses the tools of recursive function theory to understand how learners come to an accurate view of reality.

Boosting

Author : Robert E. Schapire,Yoav Freund
Publisher : MIT Press
Page : 544 pages
File Size : 49,5 Mb
Release : 2014-01-10
Category : Computers
ISBN : 9780262526036

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Boosting by Robert E. Schapire,Yoav Freund Pdf

An accessible introduction and essential reference for an approach to machine learning that creates highly accurate prediction rules by combining many weak and inaccurate ones. Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate “rules of thumb.” A remarkably rich theory has evolved around boosting, with connections to a range of topics, including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. This book, written by the inventors of the method, brings together, organizes, simplifies, and substantially extends two decades of research on boosting, presenting both theory and applications in a way that is accessible to readers from diverse backgrounds while also providing an authoritative reference for advanced researchers. With its introductory treatment of all material and its inclusion of exercises in every chapter, the book is appropriate for course use as well. The book begins with a general introduction to machine learning algorithms and their analysis; then explores the core theory of boosting, especially its ability to generalize; examines some of the myriad other theoretical viewpoints that help to explain and understand boosting; provides practical extensions of boosting for more complex learning problems; and finally presents a number of advanced theoretical topics. Numerous applications and practical illustrations are offered throughout.

Essential Learning Theories

Author : Andrew P. Johnson
Publisher : Rowman & Littlefield
Page : 180 pages
File Size : 53,9 Mb
Release : 2019-11-04
Category : Education
ISBN : 9781475852714

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Essential Learning Theories by Andrew P. Johnson Pdf

Research-based theories provide the basis for good decision-making in education. As well, teacher effectiveness and student learning are enhanced when research-based theories are used to design curriculum and daily lessons. This book examines human learning in the context of four types of research-based learning theories: neurological learning theories, behavioral learning theories, cognitive learning theories, and transformative learning theories. With each theory, the basic elements are described along with specific classroom applications. The writing style makes these concepts readily accessible to readers of all levels of experience and expertise. This book is appropriate for preservice teachers who are seeking to comprehend the basic ideas behind these theories. It is appropriate for practicing teachers who want to understand and apply these theories at increasingly higher levels. It is also appropriate for decision-makers or anybody else who wants to understand human learning and educational processes. This book ends with a description of lesson planning that is set in the various theoretical contexts and includes a guide for defining an educational philosophy.