Artificial Intelligence and Learning Environments PDF
Edited by William J. Clancey, Elliot Soloway
Part of the Special Issues of <i>Artificial Intelligence</i> series
Description
These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems.
New perspectives and techniques are shaping the field of computer-aided instruction. These essays explore cognitively oriented empirical trials that use AI programming as a modeling methodology and that can provide valuable insight into a variety of learning problems. Drawing on work in cognitive theory, plan-based program recognition, qualitative reasoning, and cognitive models of learning and teaching, this exciting research covers a wide range of alternatives to tutoring dialogues.
Contents
Artificial Intelligence and Learning Environments, William J. Clancey, Elliot Soloway * Cognitive Modeling and Intelligence Tutoring, John R. Anderson, C. Franklin Boyle, Albert T. Corbett, Matthew W. Lewis * Understanding and Debugging Novice Programs, W. Lewis Johnson * Causal Model Progressions as a Foundation for Intelligent Learning Environments, Barbara Y. White and John R. Frederiksen
Information
-
Download - Immediately Available
- Format:PDF
- Pages:168 pages
- Publisher:The MIT Press
- Publication Date:29/06/2006
- Category:
- ISBN:9780262288514
Information
-
Download - Immediately Available
- Format:PDF
- Pages:168 pages
- Publisher:The MIT Press
- Publication Date:29/06/2006
- Category:
- ISBN:9780262288514