Artificial intelligence and learning environments:
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 th...
Gespeichert in:
| Weitere beteiligte Personen: | , |
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge, Mass.
MIT Press
1990
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| Ausgabe: | 1st MIT Press ed. |
| Schriftenreihe: | Special issues of Artificial intelligence, an international journal
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| Links: | https://doi.org/10.7551/mitpress/1167.001.0001?locatt=mode:legacy |
| Zusammenfassung: | 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. |
| Beschreibung: | "A Bradford book." "Reprinted from Artificial intelligence: an international journal, volume 42, number 1, 1990"--Title page verso. |
| Umfang: | 1 Online-Ressource (162 Seiten) Illustrationen |
| ISBN: | 0262288516 9780262288514 |
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| 520 | |a 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. | ||
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| spelling | Artificial intelligence and learning environments edited by W.J. Clancey and E. Soloway 1st MIT Press ed. Cambridge, Mass. MIT Press 1990 1 Online-Ressource (162 Seiten) Illustrationen txt c cr Special issues of Artificial intelligence, an international journal "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. Clancey, William J. Soloway, Elliot Erscheint auch als Druck-Ausgabe 0262530902 Erscheint auch als Druck-Ausgabe 9780262530903 |
| spellingShingle | Artificial intelligence and learning environments |
| title | Artificial intelligence and learning environments |
| title_auth | Artificial intelligence and learning environments |
| title_exact_search | Artificial intelligence and learning environments |
| title_full | Artificial intelligence and learning environments edited by W.J. Clancey and E. Soloway |
| title_fullStr | Artificial intelligence and learning environments edited by W.J. Clancey and E. Soloway |
| title_full_unstemmed | Artificial intelligence and learning environments edited by W.J. Clancey and E. Soloway |
| title_short | Artificial intelligence and learning environments |
| title_sort | artificial intelligence and learning environments |
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