2009年6月 8日

【発表】ED-MEDIA 2009

ED-MEDIA 2009（6月22日～26日、Honolulu, USA）において、BEATから「学習ナビ」プロジェクト（Wed, Jun. 24 10:00 AM-11:00 AM）の成果の一部が発表される予定です。
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Learning strategy feedback system for students using data mining technology
ID: 25830
Type: Full Paper: Systems & Resources Topic: Emerging Technologies & Accessibility

Room: 6
Wed, Jun. 24 10:00 AM-11:00 AM

Authors:
Hideya Matsukawa, Institute for Higher Education Research and Practice, Osaka University, Japan
Satoshi Kitamura, Interfaculty Initiative in Information Studies, The University of Tokyo, Japan
Yusuke Nagamori, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Japan
Shinichi Hisamatsu, Interfaculty Initiative in Information Studies, The University of Tokyo, Japan
Yuhei Yamauchi, Interfaculty Initiative in Information Studies, The University of Tokyo, Japan
Mai Nakano, Benesse Corporation, Japan
Yasutomo Kanamori, Benesse Corporation, Japan
Naoko Miyashita, Benesse Corporation, Japan

Abstract:
Using data mining technology, we developed a feedback system of learning strategies based on models that were created from data obtained from high school students. Using this system, we evaluated it from the following perspectives: (a) model validity, (b) effectiveness of the metaphors built into the system, and (c) users' subjective evaluations. Results showed the following. (a) The models were validated because the difference of academic ability estimated from the models was reflected in data obtained from a monitor test. (b) The signal metaphor, representing the achievement levels of learning strategies, was effective because the length of time spent to read explanations of learning strategies differed according to the signal color; the direct road metaphor, representing the order of learning strategies, was understood by nearly half of the students. (c) Some users reported that the system animations were too long, but the overall system evaluation was favorable.