Artificial intelligence and learning environments / edited by W.J. Clancey and E. Soloway.
Contributor(s): Clancey, William J
| Soloway, Elliot | IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.].
Material type: 
BookSeries: Artificial intelligence (Cambridge, Mass.): Publisher: Cambridge, Massachusetts : MIT Press, 1990Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [1990]Description: 1 PDF (162 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780262288514.Subject(s): Artificial intelligence | System design | Computer-assisted instructionGenre/Form: Electronic books.Additional physical formats: Print version: No titleDDC classification: 371.3/34 Online resources: Abstract with links to resource Also available in print.
In:
Artificial intelligenceSummary: 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.William J. Clancey is Senior Research Scientist at the Institute for Research on Learning, Palo Alto. Elliot Soloway is Associate Professor at the University of Michigan.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.
"A Bradford book."
"Reprinted from Artificial intelligence: an international journal, volume 42, number 1, 1990"--T.p. verso.
Includes bibliographical references and index.
Restricted to subscribers or individual electronic text purchasers.
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.William J. Clancey is Senior Research Scientist at the Institute for Research on Learning, Palo Alto. Elliot Soloway is Associate Professor at the University of Michigan.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.
Also available in print.
Mode of access: World Wide Web
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