Deep Comprehension (eBook, PDF)

Multi-Disciplinary Approaches to Understanding, Enhancing, and Measuring Comprehension
Redaktion: Millis, Keith K.; Wiemer, Katja; Magliano, Joseph; Long, Debra

• Format: PDF

Produktbeschreibung

This volume provides an overview of research from the learning sciences into understanding, enhancing, and measuring "deep comprehension" from a psychological, educational, and psychometric perspective.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 304
• Erscheinungstermin: 25. September 2018
• Englisch
• ISBN-13: 9781351613279
• Artikelnr.: 56843159

Autorenporträt

Keith Millis is Professor of Psychology at Northern Illinois University and Deputy Director of the Center for the Interdisciplinary Study of Language and Literacy (CISLL). He studies comprehension and learning from text. Debra L. Long is Professor of Psychology at the University of California, Davis. She studies the knowledge and processes that are involved in text comprehension using behavioral, electrophysiological, and individual difference techniques. Joseph P. Magliano is Professor of Psychology at Northern Illinois University and Director of the Center for the Interdisciplinary Study of Language and Literacy (CISLL). He studies comprehension processes for text and film. Katja Wiemer is Professor of Psychology at Northern Illinois University and Co-Director of the Cognitive Science program. Her research focuses on abstract concepts, embodiment, and causal relations in scientific explanations.

Inhaltsangabe

Part 1: Understanding Deep Comprehension 1. Prose Comprehension Beyond the
Page Jennifer Wiley and Tricia A. Guerrero 2. Prose Comprehension Beyond
the Word Revisited Rolf A. Zwaan 3. A Memory Retrieval View of Text
Comprehension Debra L. Long and Erin M. Freed 4. Standards of Coherence in
Reading: Variations in Processing and Comprehension of Text Marja Oudega
and Paul van den Broek 5. What do We Think About When We Learn?Sidney K.
D'Mello 6. Reusing Neural Networks for Deep Comprehension Manuel de Vega
and David Beltran 7. What are We Reading for? A Disciplinary Literacy
Perspective on Purpose Susan R. Goldman and MariAnne George Part 2: Using
Technology to Increase Deep Comprehension 8. Learning Tasks in Electronic
Environments: Advances Towards Interactive eTextbooks Eduardo Vidal-Abarca
et al. 9. How can FACT Encourage Collaboration and Self-correction? Kurt
VanLehn et al. 10. Design Principles for Virtual Humans in Educational
Technology Environments Scotty D. Craig and Noah L. Schroeder 11.
AutoTutor: An Intelligent Tutoring System and its Authoring Tools Zhiqiang
Cai and Xiangen Hu 12. The Unreasonable Effectiveness of AutoTutor Andrew
M. Olney 13. Scaffolding Adult Learners' Reading Strategies in the
Intelligent Tutoring System Haiying Li and Whitney Baer 14. Learning
Scientific Inquiry from a Serious Game that Uses AutoTutor Keith Millis et
al. Part 3: Measuring Deep Comprehension 15. Using Scenario-based
Assessments to Measure Deep Learning Tenaha O'Reilly et al.16. Eliciting
Deeper Evidence through Conversation-Based Assessments Blair Lehman and G.
Tanner Jackson 17. NLP: Getting Computers to Understand Discourse Danielle
S. McNamara et al. 18. Deep and Shallow Natural Language Understanding for
Identifying Explanation Structure Peter Hastings, et al. 19. Deep
Comprehension of Text Revealed by Talking and Writing While Reading Joseph
P. Magliano, Karyn Higgs, and Keith Millis 20. Big Data for Thick
Description of Deep Learning David Williamson Shaffer