Learning Issues for Intelligent Tutoring Systems

Front Cover
Heinz Mandl, Alan Lesgold
Springer Science & Business Media, Dec 6, 2012 - Computers - 307 pages
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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.
 

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Contents

Improvement of the Acquisition of Knowledge
9
Toward a Theory of ImpasseDriven Learning
19
Psychological Evaluation of Path Hypotheses
42
Metacognitive Bases
80
DR MARK R LEPPER
87
Toward a Theory of Curriculum for Use in Designing
114
Learning Research and Development Center University of Pittsburgh
136
Enhancing Incremental Learning Processes with
138
Implications for the Design
164
MR PETER MICHAEL FISCHER
187
Bringing Empathy
242
Implications
258
Experimental Data for the Design of a MicroworldBased
278
ComputerAided Model Building
287
Index
295
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