Learning Issues for Intelligent Tutoring Systems

✍ Scribed by Allan Collins, John Seely Brown (auth.), Dr. Heinz Mandl, Dr. Alan Lesgold (eds.)

Publisher: Springer-Verlag New York
Year: 1988
Tongue: English
Leaves: 325
Series: Cognitive Science
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Learning Issues for Intelligent Tutoring Systems arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use of instructional systems as well as the important theoretical and practical questions involved in implementing knowledge-based systems. This book offers complete and up-to-date reviews of the major research programs in computer-aided instruction and intelligent tutoring systems. Learning Issues for Intelligent Tutoring Systems is an important and useful introduction to this rapidly changing field.

✦ Table of Contents

Front Matter....Pages i-xix
The Computer as a Tool for Learning Through Reflection....Pages 1-18
Toward a Theory of Impasse-Driven Learning....Pages 19-41
Psychological Evaluation of Path Hypotheses in Cognitive Diagnosis....Pages 42-62
Modeling the Knowledge Base of Mathematics Learners: Situation-Specific and Situation-Nonspecific Knowledge....Pages 63-79
The Knowledge Engineer as Student: Metacognitive Bases for Asking Good Questions....Pages 80-113
Toward a Theory of Curriculum for Use in Designing Intelligent Instructional Systems....Pages 114-137
Enhancing Incremental Learning Processes With Knowledge-Based Systems....Pages 138-163
Mental Models and Metaphors: Implications for the Design of Adaptive User-System Interfaces....Pages 164-186
Improvement of the Acquisition of Knowledge by Informing Feedback....Pages 187-241
Socializing the Intelligent Tutor: Bringing Empathy to Computer Tutors....Pages 242-257
Cognitive Economy in Physics Reasoning: Implications for Designing Instructional Materials....Pages 258-277
Experimental Data for the Design of a Microworld-Based System for Algebra....Pages 278-286
Computer-Aided Model Building....Pages 287-294
Back Matter....Pages 295-307

✦ Subjects

Artificial Intelligence (incl. Robotics)

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