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Handbook of Learning from Multiple Representations and Perspectives (Educational Psychology Handbook) - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Peggy Van Meter is Associate Professor of Education and Director of Undergraduate and Graduate Studies in the Department of Educational Psychology, Counseling, and Special Education at the Pennsylvania State University, USA.
Alexandra List is Assistant Professor of Education in the Department of Educational Psychology, Counseling, and Special Education at the Pennsylvania State University, USA.
Doug Lombardi is Associate Professor in the Department of Human Development and Quantitative Methodology at the University of Maryland, USA.
Panayiota Kendeou is Professor in the Department of Educational Psychology, Guy Bond Endowed Chair in Reading, and Director of Graduate Studies at the University of Minnesota, USA.
"About this title" may belong to another edition of this title.
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Handbook of Learning from Multiple Representations and Perspectives
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HANDBK OF LEARNING FROM MULTIP
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