2016 Fiscal Year Final Research Report
Development of a Learning History Analysis Method Focusing on Programming Learning Processes and Its Applications in Learning Situation Recognition Support
| Project/Area Number |
25282051
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Educational technology
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| Research Institution | Tokyo Gakugei University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
中村 勝一 福島大学, 共生システム理工学類, 准教授 (60364395)
喜久川 功 常葉大学, 環境学部, 准教授 (10440611)
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| Co-Investigator(Renkei-kenkyūsha) |
HAZEYAMA Atsuo 東京学芸大学, 教育学部, 教授 (70313278)
MORIMOTO Yasuhiko 東京学芸大学, 情報処理センター, 准教授 (10387532)
KURITA Rumiko 城西大学, 経営学部, 教授 (60383171)
YAKU Takeo 日本大学, 文理学部, 名誉教授 (90102821)
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Keywords | プログラミング学習 / 学習履歴 / データマイニング / 状況把握 / 系列パターンマイニング |
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| Outline of Final Research Achievements |
In the programming exercise lesson, it is expected that estimating learning situations based on the source code editing process can be automated by clarifying the relation between source code editing patterns and learning situations. Therefore, to clarify the relationship between the editing pattern of the source code and the learning situation, this study developed a method and tools for analyzing source code editing processes. Using this method, we extracted frequent editing patterns, by using Sequence Pattern Mining, from the editing history that previous learner applied to the source code. Then, we associated the edit pattern with the learning situation. By using this method, it was shown that learners' situations can be estimated with high accuracy.
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| Free Research Field |
教育工学
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