Handbook of Learning from Multiple Representations and Perspectives
Handbook of Learning from Multiple Representations and Perspectives

Author: Peggy Van Meter

Publisher: Routledge

Published: 2020-03-10

Total Pages: 696

ISBN-13: 0429813651

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In and out of formal schooling, online and off, today’s learners must consume and integrate a level of information that is exponentially larger and delivered through a wider range of formats and viewpoints than ever before. The Handbook of Learning from Multiple Representations and Perspectives provides a path for understanding the cognitive, motivational, and socioemotional processes and skills necessary for learners across educational contexts to make sense of and use information sourced from varying inputs. Uniting research and theory from education, psychology, literacy, library sciences, media and technology, and more, this forward-thinking volume explores the common concerns, shared challenges, and thematic patterns in our capacity to make meaning in an information-rich society. Chapter 16 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com/books/e/9780429443961.

International Handbook of the Learning Sciences
International Handbook of the Learning Sciences

Author: Frank Fischer

Publisher: Routledge

Published: 2018-04-19

Total Pages: 552

ISBN-13: 1317208358

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The International Handbook of the Learning Sciences is a comprehensive collection of international perspectives on this interdisciplinary field. In more than 50 chapters, leading experts synthesize past, current, and emerging theoretical and empirical directions for learning sciences research. The three sections of the handbook capture, respectively: foundational contributions from multiple disciplines and the ways in which the learning sciences has fashioned these into its own brand of use-oriented theory, design, and evidence; learning sciences approaches to designing, researching, and evaluating learning broadly construed; and the methodological diversity of learning sciences research, assessment, and analytic approaches. This pioneering collection is the definitive volume of international learning sciences scholarship and an essential text for scholars in this area.

Handbook of Multiple Source Use
Handbook of Multiple Source Use

Author: Jason L.G. Braasch

Publisher: Routledge

Published: 2018-04-09

Total Pages: 548

ISBN-13: 1317238192

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The Handbook of Multiple Source Use draws on theory and research within cognitive and educational psychology, the learning sciences, disciplinary education, information literacy, reading psychology, and social psychology, to present the first comprehensive research volume on this topic. Many learners both in and out of school have almost instantaneous access to an enormous range of information sources at present. In this book, broken into six sections, international scholars come together toward understanding factors that influence how individuals cope with the challenge of building knowledge from diverse, often conflicting, information.

Multiple Representations in Physics Education
Multiple Representations in Physics Education

Author: David F. Treagust

Publisher: Springer

Published: 2017-07-24

Total Pages: 329

ISBN-13: 3319589148

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This volume is important because despite various external representations, such as analogies, metaphors, and visualizations being commonly used by physics teachers, educators and researchers, the notion of using the pedagogical functions of multiple representations to support teaching and learning is still a gap in physics education. The research presented in the three sections of the book is introduced by descriptions of various psychological theories that are applied in different ways for designing physics teaching and learning in classroom settings. The following chapters of the book illustrate teaching and learning with respect to applying specific physics multiple representations in different levels of the education system and in different physics topics using analogies and models, different modes, and in reasoning and representational competence. When multiple representations are used in physics for teaching, the expectation is that they should be successful. To ensure this is the case, the implementation of representations should consider design principles for using multiple representations. Investigations regarding their effect on classroom communication as well as on the learning results in all levels of schooling and for different topics of physics are reported. The book is intended for physics educators and their students at universities and for physics teachers in schools to apply multiple representations in physics in a productive way.

Graph Representation Learning
Graph Representation Learning

Author: William L. William L. Hamilton

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 141

ISBN-13: 3031015886

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Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Handbook of Strategies and Strategic Processing
Handbook of Strategies and Strategic Processing

Author: Daniel L. Dinsmore

Publisher: Routledge

Published: 2020-01-27

Total Pages: 461

ISBN-13: 0429752598

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Handbook of Strategies and Strategic Processing provides a state-of-the-art synthesis of conceptual, measurement, and analytical issues regarding learning strategies and strategic processing. Contributions by educational psychology experts present the clearest-yet definition of this essential and quickly evolving component of numerous theoretical frameworks that operate across academic domains. This volume addresses the most current research and theory on the nature of strategies and performance, mechanisms for unearthing individuals’ strategic behaviors, and both long-established and emerging techniques for data analysis and interpretation.

SELF - A Multidisciplinary Concept
SELF - A Multidisciplinary Concept

Author: Theresa Dicke

Publisher: IAP

Published: 2021-01-01

Total Pages: 227

ISBN-13: 1648022642

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Research on the self relates to various phenomena including self-esteem, self-concept, self-verification, self-awareness, identity, self-efficacy, passion, self-determination, and goals. Moreover, research on self is multidisciplinary and of interest to a broad range of areas, such as education, economics, (social) psychology, neuro sciences, motivation, physical activity and behavior sciences, philosophy, and learning sciences. Chapters in this volume will illustrate some of the best of the research within these disciplines examining different aspects of self from various perspectives. A feature of this volume is that we will explore not only positive aspects of high perceived levels of self-determination and competence or self-concept on achievement, motivation and wellbeing, but also the dark side of an uncertain and negative self on identity and wellbeing. We learn from this that the self is a dynamic and powerful, yet fragile and highly amenable construct that needs self-care and constant reassurance. SELF – A Multidisciplinary Concept thus highlights the broad application of self-research and its diversity. This volume is intended to develop both theoretical and methodological ideas and to present empirical evidence of various disciplines and applications dealing with self. The scope of this seventh volume of the International Advances in Self Research series, started in 2000 by Herbert W. Marsh, Dennis M. McInerney, and Rhonda G. Craven, is thus very broad. Keeping within the tradition of the series, this volume will highlight the applicability of a multitude of empirical approaches and methods to self-research. We also aimed to maintain a balance between discussing theoretical research in SELF and deriving implications for effective practice. This volume thus includes chapters covering self-related topics within an educational, social, emotional, psychological, physiological, managerial, and health context.

Cognitive Load Theory
Cognitive Load Theory

Author: Jan L. Plass

Publisher: Cambridge University Press

Published: 2010-04-26

Total Pages: 287

ISBN-13: 1107394112

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Cognitive load theory (CLT) is one of the most important theories in educational psychology, a highly effective guide for the design of multimedia and other learning materials. This edited volume brings together the most prolific researchers from around the world who study various aspects of cognitive load to discuss its current theoretical as well as practical issues. The book is divided into three parts. The first part describes the theoretical foundations and assumptions of CLT, the second discusses the empirical findings about the application of CLT to the design of learning environments, and the third part concludes the book with discussions and suggestions for new directions for future research. It aims to become the standard handbook in CLT for researchers and graduate students in psychology, education, and educational technology.

How Learning Works
How Learning Works

Author: Susan A. Ambrose

Publisher: John Wiley & Sons

Published: 2010-04-16

Total Pages: 336

ISBN-13: 0470617608

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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