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

✍ Scribed by Katja Wiemer, Keith K. Millis, Debra Long, Joseph Magliano

• Publisher: Routledge
• Year: 2019
• Tongue: English
• Leaves: 305
• Edition: 1
• Category: Library

✦ Synopsis

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. It describes the characteristics of deep comprehension, what techniques may be used to improve it, and how deep levels of comprehension may be distinguished from shallow ones. It includes research on personal-level variables; how intelligent tutors promote comprehension; and the latest developments in psychometrics. The volume will be of interest to senior undergraduate and graduate students of cognitive psychology, learning, cognition and instruction, and educational technology.

✦ Table of Contents

Cover
Title
Copyright
Dedication
Contents
List of Contributors
Introduction
Part I Understanding Deep Comprehension
1 Prose Comprehension Beyond the Page
2 Prose Comprehension Beyond the Word Revisited
3 A Memory Retrieval View of Text Comprehension
4 Standards of Coherence in Reading: Variations in Processing and Comprehension of Text
5 What Do We Think About When We Learn?
6 Reusing Neural Networks for Deep Comprehension
7 What Are We Reading For? A Disciplinary Literacy Perspective on Purpose
Part II Using Technology to Increase Deep Comprehension
8 Learning Tasks in Electronic Environments: Advances Towards Interactive eTextbooks
9 How Can FACT Encourage Collaboration and Self-Correction?
10 Design Principles for Virtual Humans in Educational Technology Environments
11 AutoTutor: An Intelligent Tutoring System and Its Authoring Tools
12 The Unreasonable Effectiveness of AutoTutor
13 Scaffolding Adult Learners’ Reading Strategies in the Intelligent Tutoring System
14 Learning Scientific Inquiry from a Serious Game that Uses AutoTutor
Part III Measuring Deep Comprehension
15 Using Scenario-Based Assessments to Measure Deep Learning
16 Eliciting Deeper Evidence through Conversation-Based Assessments
17 NLP: Getting Computers to Understand Discourse
18 Deep and Shallow Natural Language Understanding for Identifying Explanation Structure
19 Deep Comprehension of Text Revealed by Talking and Writing While Reading
20 Big Data for Thick Description of Deep Learning
Index