| Description |
vi, 483 pages : illustrations ; 23 cm |
| Contents |
Introduction: The Coming Revolution in Educational Technology / Kenneth D. Forbus and Paul J. Feltovich -- Ch. 1. Representational and Advisory Guidance for Students Learning Scientific Inquiry / Dan Suthers, John Connelly and Alan Lesgold / [et al.] -- Ch. 2. Motivation and Failure in Educational Simulation Design / Roger Schank and Adam Neaman -- Ch. 3. Technology Support for Complex Problem Solving: From SAD Environments to AI / Gautam Biswas, Daniel Schwartz and John Bransford / [et al.] -- Ch. 4. Growth and Maturity of Intelligent Tutoring Systems: A Status Report / Beverly Park Woolf, Joseph Beck and Christopher Eliot / [et al.] -- Ch. 5. Cognitive Tutors as Modeling Tools and Instructional Models / Kenneth R. Koedinger -- Ch. 6. Evaluating Tutors that Listen: An Overview of Project LISTEN / Jack Mostow and Gregory Aist -- Ch. 7. Articulate Software for Science and Engineering Education / Kenneth D. Forbus -- Ch. 8. Animated Pedagogical Agents in Knowledge-Based Learning Environments / James C. Lester, Charles B. Callaway and Joel P. Gregoire / [et al.] -- Ch. 9. Exploiting Model-Based Reasoning in Educational Systems: Illuminating the Learner Modeling Problem / Kees de Koning and Bert Bredeweg -- Ch. 10. The Case for Considering Cultural Entailments and Genres of Attachment in the Design of Educational Technologie / Lisa M. Bouillion and Louis M. Gomez -- Ch. 11. Learners' (Mis)Understanding of Important and Difficult Concepts: A Challenge to Smart Machines in Education / Paul J. Feltovich, Richard L. Coulson and Rand J. Spiro -- Ch. 12. Building the Right Stuff: Some Reflections on the CAETI Program and the Challenge of Educational Technology / Kirstie L. Bellman -- Afterword: From this Revolution to the Next / Kenneth D. Forbus and Paul J. Feltovich |
| Summary |
Multimedia, simulation, computer-mediated communication networks, and distance learning have all become part of the educational toolkit. The next major technology to change the face of the education will be based on the widespread use of artificial intelligence (AI). Progress in AI has led to a deeper understanding of how to represent knowledge, to reason, and to describe procedural knowledge. Progress in cognitive science has led to a deeper understanding of how people think, solve problems, and learn. AI scientists use results from cognitive science to create software with more humanlike abilities, which can help students learn better. This book looks at some of the results of this synergy among AI, cognitive science, and education |
| Analysis |
Computer mediated communication |
| Notes |
"Copublished and distributed by the MIT Press" |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Intelligent tutoring systems.
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Artificial intelligence -- Educational applications.
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Computer-assisted instruction.
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Instructional systems -- Design.
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| Genre/Form |
Computer-assisted instruction.
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| Author |
Forbus, Kenneth D.
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Feltovich, Paul J., 1947-
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| LC no. |
2001041247 |
| ISBN |
0262561417 paperback |
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