| Project/Area Number |
61550263
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
計算機工学
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| Research Institution | Osaka University |
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Principal Investigator |
ABE Norihiro Osaka University, Faculty of Engineering Science, 基礎工学部, 助教授 (00029571)
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| Co-Investigator(Kenkyū-buntansha) |
YACHIDA Masahiko Osaka University, Faculty of Engineering Science, 基礎工学部, 助教授 (20029531)
TSUJI Saburo Osaka University, Faculty of Engineering Science, 基礎工学部, 教授 (60029527)
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| Project Period (FY) |
1986 – 1987
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| Project Status |
Completed (Fiscal Year 1987)
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| Budget Amount *help |
¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 1987: ¥400,000 (Direct Cost: ¥400,000)
Fiscal Year 1986: ¥1,100,000 (Direct Cost: ¥1,100,000)
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| Keywords | ICAI, / Domain knowledge / Bug knowledge / Student model / Explanation-based generalization / JMS / 知識ベース / 支援システム / 学習 / 一次方程式 / インタフエイス |
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| Research Abstract |
To construct an intelligent computer aided instruction system, an inference mechanism, domain theory which reflects the objective domain to be learned by students, meta-level-knowledge necessaryfor efficiently solving the problems, and so called student models. Many traditional experimental ICAI system model student's erroneous operation by applying the corresponding buggy rules, but they suffer form making decision when stdents really uses buggy rules instead of correct ones. Our system adopt another approach in which the system will try to teach students how to solve problems efficiently, by acquiring the method through explanation-based generalization (EB). With this approach, the system can extract meta-level rules when we give it several example on how they are solved. Concering student models, we have adopted Truth Maintenance System (TMS) as a basic tool for representating brief model of student's knowledge, realized it in Prolog.
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