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Artificial intelligence and learning environments

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"A Bradford book.""Reprinted from Artificial intelligence: an international journal, volume 42, number 1, 1990"--Title page verso.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.OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge, Mass. : : MIT Press,., 1990.

Collation

1 online resource (162 pages) :illustrations.

Language

English

ISBN/ISSN

9780262288514

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1st MIT Press ed.

Subject(s)

Artificial intelligence.
System design.
Computer-assisted instruction.

Specific Detail Info

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Statement of Responsibility

edited by W.J. Clancey and E. Soloway.

Other Information

Cataloger

dianna Puji

Source

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Validator

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Digital Object Identifier (DOI)

https://direct.mit.edu/books/edited-volume/4268/Artificial-Intelligence-and-Learning-Environments

Journal Volume

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