Deep Comprehension: Multi-Disciplinary Approaches to Understanding, Enhancing, and Measuring Comprehension

ISBN-13: 9781138089013 / Angielski / Miękka / 2018 / 282 str.

Keith K. Millis

Opis

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.

Recenzje

One of the hallmarks of an educated mind is the ability to think critically and analytically about what is read, seen, or heard; in effect, to look beyond the words to the message that lies within. That very ability is the essence of deep comprehension and the theme that weaves through the pages of this thoughtful and invaluable book by Millis, Long, Magliano, and Wiemer. Given the complex and often confusing world in which we find ourselves, there is no more essential topic to be explored than what it means to understand text—in its many forms—deeply. This edited volume not only seeks to address that timely topic, but also to arm educators with the knowledge required to measure depth of understanding accurately and to facilitate students’ engagement in deep learning effectively. There is no more thorough treatment of these vital topics than Deep Comprehension—a must read for anyone who values the ability to think beyond the words read, seen, or heard to the message that lies within. Professor Patricia Alexander, Ph.D., University of Maryland, College Park

Spis treści

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