Presentation 1995/12/22
Development of The Adapting Instruction System Controlled by Learner's Knowledge Structure (1) : Theory of The Expert System for Optimization of Selecting Problems
Tatsunori MATSUI, Naonori KOIZUMI, Keiichi YAMADA, Yuko MIKUNI,
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Abstract(in English) The adapting instruction system makes problems depending on learner's responses to present an efficient study. This system (developed in this paper) is an intelligent adapting instruction system for high school physical problem, especially dynamic problems. This system supports a learner to study naturally, in which drawing figures, making equations and solving them. For this porpoise, this system is constructed by three parts, the interface part, the expert system part for problem solving and the expert system part for optimization of selecting problems. The main feature of this system are the function that has solving process models and inferences a learner's knowledge structure from drawing inputs and responses, and that optimizes of selecting problems by learner's model using the matching coefficient. In this paper, the detail of the theory of the expert system part for optimization of selecting problems.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) adapting instruction system / knowledge structure / optimization of selecting problems / solving process model / matching coefficient / fuzzy inference
Paper # ET95-95
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Conference Date 1995/12/22(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of The Adapting Instruction System Controlled by Learner's Knowledge Structure (1) : Theory of The Expert System for Optimization of Selecting Problems
Sub Title (in English)
Keyword(1) adapting instruction system
Keyword(2) knowledge structure
Keyword(3) optimization of selecting problems
Keyword(4) solving process model
Keyword(5) matching coefficient
Keyword(6) fuzzy inference
1st Author's Name Tatsunori MATSUI
1st Author's Affiliation Faculty of Education, Tokyo Gakugei University()
2nd Author's Name Naonori KOIZUMI
2nd Author's Affiliation School of Science and Engineering, Waseda University
3rd Author's Name Keiichi YAMADA
3rd Author's Affiliation School of Science and Engineering, Waseda University
4th Author's Name Yuko MIKUNI
4th Author's Affiliation School of Science and Engineering, Waseda University
Date 1995/12/22
Paper # ET95-95
Volume (vol) vol.95
Number (no) 447
Page pp.pp.-
#Pages 8
Date of Issue