Presentation 2013-01-12
A Learning History-based Problem Recommendation Method
Mai Katou, Jiahong Wang, Eiichirou Kodama, Toyoo Takata,
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Abstract(in English) There are strong requirements to improve the learning efficiency in the field of education To meet the requirement, it is necessary to analyze the learning history data of the individual student in detail However, this has been proved to be difficult for teachers to do by themselves This paper proposes an approach to solving the problem This is a data mining based approach, by which it becomes possible to analyze the answers to practice problems and exam questions of students, and discover the attribution of the wrong answers, and so, we can recommend specific practice problems to each individual student Experiment results demonstrate that the proposed approach could help improving the learning efficiency
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Keyword(in English) Education / Data Mining / Problem Recommendation
Paper # ET2012-70
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Committee ET
Conference Date 2013/1/5(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 Learning History-based Problem Recommendation Method
Sub Title (in English)
Keyword(1) Education
Keyword(2) Data Mining
Keyword(3) Problem Recommendation
1st Author's Name Mai Katou
1st Author's Affiliation Iwate Prefectural University()
2nd Author's Name Jiahong Wang
2nd Author's Affiliation Iwate Prefectural University
3rd Author's Name Eiichirou Kodama
3rd Author's Affiliation Iwate Prefectural University
4th Author's Name Toyoo Takata
4th Author's Affiliation Iwate Prefectural University
Date 2013-01-12
Paper # ET2012-70
Volume (vol) vol.112
Number (no) 374
Page pp.pp.-
#Pages 6
Date of Issue