Handbook of Learning from Multiple Representations and Perspectives

✍ Scribed by Peggy Van Meter, Alexandra List, Doug Lombardi, Panayiota Kendeou

• Publisher: Routledge
• Year: 2020
• Tongue: English
• Leaves: 623
• Series: Educational Psychology Handbook Series
• Category: Library

✦ 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.

✦ Table of Contents

Cover
Half Title
Series Page
Title Page
Copyright Page
Contents
List of contributors
Chapter 1 Loggers and Conservationists: Navigating the Multiple Resource Forest through the Trees
Section 1 Learning from Multiple Representations
Chapter 2 Cognitive and Socio-Cultural Theories on Competencies and Practices involved in Learning with Multiple External Representations
Chapter 3 Use of Multiple Representations by Experts and Novices
Chapter 4 Cognitive Processes Underlying Learning From Multiple Representations
Chapter 5 Learning from Multiple Representations: Roles of Task Interventions and Individual Differences
Chapter 6 Interventions to Support Learning from Multiple External Representations
Chapter 7 Learning by Construction of Multiple Representations
Chapter 8 Problem Solving in Mathematics with Multiple Representations
Section 2 Learning from Multiple Perspectives
Chapter 9 Beyond Trustworthiness: Comprehending Multiple Source Perspectives
Chapter 10 On the Roles of Dispositions and Beliefs in Learning from Multiple Perspectives
Chapter 11 Knowledge as Perspective: From Domain Perspective Learning to Interdisciplinary Understanding
Chapter 12 Processes and Products of Encountering Belief-Related Information
Chapter 13 The Role of Cognitive Conflict in Understanding and Learning from Multiple Perspectives
Chapter 14 Learning from Multiple Complementary Perspectives: A Systematic Review
Chapter 15 Learning from Multiple Perspectives: Processes and Strategies Associated with Reading Dual-Position Texts
Chapter 16 The Role of Validation in Integrating Multiple Perspectives
Chapter 17 Students’ Perspective Learning in a Disciplinary Multisource Task Environment
Section 3 Theoretical Viewpoints on the Integration of Multiple Representations and Multiple Perspectives
Chapter 18 The Roles of Executive Functions in Learning from Multiple Representations and Perspectives
Chapter 19 Putting Self-Regulated Learning and Metacognition into Multiple Representations and Perspectives
Chapter 20 Values, Attitudes, and Beliefs: Cognitive Filters Shaping Integration of Multiple Representations and Multiple Perspectives
Chapter 21 Motivation and the Processing of Multiple Inputs
Chapter 22 Emotions and Learning from Multiple Representations and Perspectives
Chapter 23 Relational Reasoning: The Bedrock of Integration within and across Multiple Representations, Documents, and Perspectives
Chapter 24 Using Critical Thinking Frameworks to Understand Integration of Multiple Inputs
Section 4 Challenges and Solutions
Chapter 25 Assessing and Modifying Knowledge: Facts vs. Constellations
Chapter 26 The Challenge of Misinformation and Ways to Reduce its Impact
Chapter 27 The Challenge of Fake News: Intellectual Survival in the Context of Multiple Representations and Perspectives
Chapter 28 The Need for Personalized Learning and the Potential of Intelligent Tutoring Systems
Chapter 29 Representational Affordances for Collaborative Learning in Technology-Enhanced Environments
Chapter 30 The Challenge of Measuring Processes and Outcomes while Learning from Multiple Representations with Advanced Learning Technologies
Conclusion
Chapter 31 The Multiple Resources Learning Framework: Learning from Multiple Representations and Multiple Perspectives
Index