Handbook of Learning from Multiple Representations and Perspectives

1. Loggers and Conservationists: Navigating the Multiple Resource Forest Through the Trees; 2. Cognitive and Socio-Cultural Theories on Competencies and Practices involved in Learning with Multiple External Representations; 3. Use of Multiple Representations by Experts and Novices; 4. Cognitive processes underlying learning from multiple representations; 5. Learning from Multiple Representations: Roles of Task Interventions and Individual Differences; 6. Interventions to Support Learning from Multiple External Representations; 7. Learning by Construction of Multiple Representations; 8. Problem Solving in Mathematics with Multiple Representations; 9. Beyond Trustworthiness: Comprehending Multiple Source Perspectives; 10. On the Roles of Dispositions and Beliefs in Learning from Multiple Perspectives; 11. Knowledge As Perspective: From Domain Perspective Learning to Interdisciplinary Understanding; 12. Processes and Products of Encountering Belief-Related Information; 13. The Role of Cognitive Conflict in Understanding and Learning from Multiple Perspectives; 14. Learning from Multiple Complementary Perspectives: A Systematic Review; 15. Learning from Multiple Perspectives: Processes and Strategies Associated with Reading Dual-Position Texts; 16. The Role of Validation in Integrating Multiple Perspectives; 17. Students' Perspectives Learning in a Disciplinary Multisource Task Environment; 18. The Roles of Executive Functions in Learning from Multiple Representations and Perspectives; 19. Putting Self-Regulated Learning and Metacognition into Multiple Representations and Perspectives; 20.Values, Attitudes, and Beliefs: Cognitive Filters Shaping Integration of Multiple Representations and Multiple Perspectives; 21.Motivation and the Processing of Multiple Inputs; 22. Emotions and Learning from Multiple Representations and Perspectives; 23. Relational Reasoning: The Bedrock of Integration Within and Across Multiple Representations, Documents, and Perspectives; 24. Using Critical Thinking Frameworks to Understand Integration of Multiple Inputs; 25. Assessing and Modifying Knowledge: Facts vs. Constellations; 26. The Challenge of Misinformation and Ways to Reduce Its Impact; 27. The Challenge of Fake News: Intellectual Survival in the Context of Multiple Representations and Perspectives; 28. The need for personalized learning and the potential of intelligent tutoring systems; 29. Representational Affordances for Collaborative Learning in Technology-Enhanced Environments; 30. The Challenge of Measuring Processes and Outcomes while Learning from Multiple Representations with Advanced Learning Technologies; 31. The Multiple Resources Learning Framework: Learning from Multiple Representations and Multiple Perspectives;