Artificial Intelligence and Learning Environments
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From Special Issues of Artificial Intelligence

Artificial Intelligence and Learning Environments

Edited by William J. Clancey and Elliot Soloway

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.

A Bradford Book

Overview

Author(s)

Summary

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

Paperback

$27.00 X | £21.00 ISBN: 9780262530903 168 pp. | 9 in x 6 in

Editors

William J. Clancey

William J. Clancey is Chief Scientist of Human-Centered Computing in the Intelligent Systems Division at NASA Ames Research Center, and Senior Research Scientist at the Florida Institute for Human and Machine Cognition.

Elliot Soloway

Elliot Soloway is Associate Professor at the University of Michigan.