Intelligent Tutoring Systems: A Tutorial Survey

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Citation: William J. Clancey. (1986) Intelligent Tutoring Systems: A Tutorial Survey. In KSL-86-58, 1986.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author William J. Clancey
title Intelligent Tutoring Systems: A Tutorial Survey
number KSL-86-58
institution Knowledge Systems, AI Laboratory
address Universite de L'Etat, Belgium
year 1986
Bibtex more
note STAN-CS-87-1174.
Access Paper
abstract This survey of Intelligent Tutoring Systems is based on a tutorial originally presented by John Seely Brown, Richard R. Burton (Xerox-Parc, USA) and William J. Clancey at the National Conference on AI (AAAI) in Austin, Texas in August, 1984. The survey describes the components of tutoring systems, different teaching scenarios, and their relation to a theory of instruction. The underlying pedagogical approach is to make latent knowledge manifest, which the research accomplishes by different forms of qualitative modeling: simulating physical processes; simulating expert problem-solving, including strategies for monitoring and controlling problem solving (metacognition); modeling the plans behind procedural behavior; and forcing articulation of model inconsistencies through the Socratic method of instruction. Proceeding chronologically, examples of intelligent tutoring systems are described in terms of their internal knowledge representations and the evolving pedagogical theory. Although these programs are generally only research projects, examples of what they can do make abundantly clear the long-term scientific and software-engineering advantages of the new modeling methodology.

KSL Technical Report ID: KSL-86-58
Facts about Intelligent Tutoring Systems: A Tutorial SurveyRDF feed
Abstract This survey of Intelligent Tutoring System … This survey of Intelligent Tutoring Systems is based on a tutorial originally presented by John Seely Brown, Richard R. Burton (Xerox-Parc, USA) and William J. Clancey at the National Conference on AI (AAAI) in Austin, Texas in August, 1984. The survey describes the components of tutoring systems, different teaching scenarios, and their relation to a theory of instruction. The underlying pedagogical approach is to make latent knowledge manifest, which the research accomplishes by different forms of qualitative modeling: simulating physical processes; simulating expert problem-solving, including strategies for monitoring and controlling problem solving (metacognition); modeling the plans behind procedural behavior; and forcing articulation of model inconsistencies through the Socratic method of instruction. Proceeding chronologically, examples of intelligent tutoring systems are described in terms of their internal knowledge representations and the evolving pedagogical theory. Although these programs are generally only research projects, examples of what they can do make abundantly clear the long-term scientific and software-engineering advantages of the new modeling methodology. dvantages of the new modeling methodology.
Address Universite de L'Etat, Belgium  +
Author William J. Clancey  +
Bibtype techreport  +
Has author William J. Clancey  +
Has identifier KSL-86-58  +
Has publishing details 1986  +
Has title Intelligent Tutoring Systems: A Tutorial Survey  +
Has where published KSL-86-58  +
Has year 1986  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-86-58  +
Note STAN-CS-87-1174.
Number KSL-86-58  +
Process note YES  +
Title Intelligent Tutoring Systems: A Tutorial Survey  +
Year 1986  +
Retrieved from "http://tw.rpi.edu/wiki/Intelligent_Tutoring_Systems:_A_Tutorial_Survey"
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