Presentation 2000/11/3
A Study on The Individual Adaptation Type CounterExample Formation Technique
Kazuhiro HANAMOTO, Junko HONDA, Setsuko Otsuki,
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Abstract(in English) This paper treats a problem on how to present an counter example as an effective technique to make learners become aware of their mistake.Usual methods about the counter example formation is the way of filling up the knowledge related to the mistake knowledge and the counter example imbedded in advance in ITS(Intelligent Tutoring System)and to do error base simulation with ILE(Intaractive Learning Environment).All of these counter example formation techniques are depend on their learning domain.Although counter example are effective support method to prompt learners' discovery learning, the original purpose of counter example, which makes learners become aware of their mistake, is difficult to achive, unless the system can not propose an adaptable counter example to each individual learner, This paper propose a general idea of generating a suitable counter example to each learner in the uersion space concerning the object domain.
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Keyword(in English) version space / student model / commonsense DB / counter example formation algrithm
Paper # ET2000-74
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Committee ET
Conference Date 2000/11/3(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on The Individual Adaptation Type CounterExample Formation Technique
Sub Title (in English)
Keyword(1) version space
Keyword(2) student model
Keyword(3) commonsense DB
Keyword(4) counter example formation algrithm
1st Author's Name Kazuhiro HANAMOTO
1st Author's Affiliation Department of Intelligent Systems, Graduate School of Information Sciences, Hiroshima City University()
2nd Author's Name Junko HONDA
2nd Author's Affiliation Department of Intelligent Systems, Faculty of Information Sciences, Hiroshima City University
3rd Author's Name Setsuko Otsuki
3rd Author's Affiliation Department of Intelligent Systems, Faculty of Information Sciences, Hiroshima City University
Date 2000/11/3
Paper # ET2000-74
Volume (vol) vol.100
Number (no) 420
Page pp.pp.-
#Pages 8
Date of Issue