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 Japanese) | (See Japanese page) |
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 |
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Conference Date | 2002/5/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Educational Technology (ET) |
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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 |
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