[(Artificial Intelligence and Learning Environments )] [Author: William J. Clancey] [Nov-1990]

by William J. Clancey

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.ContentsArtificial 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

Unknown Binding

First published September 27, 1990