Presentation 2002/5/10
Supporting Mathematical Learning by using a Case Retrieval System that Controls Similarity between Exsample Problems
Kazuaki KOJIMA, Kazuhisa MIWA,
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Abstract(in English) In mathematical learning, learners achieve learning by repeatedly solving exsample problems as analogical instances. Learners must notice specific features related to the solution, but they are strongly influenced the surface representation of the problems. Therefore it has been reported that their performance remarkably decreases when they solve a problem whose surface representation is different from an original problem even though the deep structure related to its solution is almost the same. These attributes, both surface and deep structures, are considered as meta information that novice learners are not generally aware of. We implemented a case retrieval system that controls the meta similarity, and we performed experimental evaluation for verifying the utility of the system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) mathematical learning / surface feature / analogical reasoning / analogical instance / similarity
Paper # ET2002-7
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Committee ET
Conference Date 2002/5/10(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) Supporting Mathematical Learning by using a Case Retrieval System that Controls Similarity between Exsample Problems
Sub Title (in English)
Keyword(1) mathematical learning
Keyword(2) surface feature
Keyword(3) analogical reasoning
Keyword(4) analogical instance
Keyword(5) similarity
1st Author's Name Kazuaki KOJIMA
1st Author's Affiliation Graduate School of Human Informatics, Nagoya University()
2nd Author's Name Kazuhisa MIWA
2nd Author's Affiliation Graduate School of Human Informatics, Nagoya University
Date 2002/5/10
Paper # ET2002-7
Volume (vol) vol.102
Number (no) 65
Page pp.pp.-
#Pages 6
Date of Issue