2017 Fiscal Year Final Research Report
Research on data mining to improve the read-through ratio and lesson concentration of digital course materials
| Project/Area Number |
15K00498
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Learning support system
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| Research Institution | Aichi University |
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Principal Investigator |
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| Research Collaborator |
MORINO Seiji 運営堂, 代表
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | 学習分析 / 教育データマイニング / 時系列分析 / クロスセクション分析 / 可視化 / ピボットテーブル / 学習管理システム / エンゲージメント |
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| Outline of Final Research Achievements |
Utilizing digital teaching materials uploaded to Moodle, a course materials page view history was compiled in a face-to-face blended learning class with a large number of participating students. Experiments involving the automatic creation of time series cross-section tables using a set of original Excel macros were performed. By collecting and displaying data on page views of the course materials as a whole, as well as views of individual course material items--both by the class as a whole and by individual students in the class--it is possible to produce a visual and timely summary of student engagement and to use the information to increase student participation and improve teacher performance.
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| Free Research Field |
教育工学・情報科学・人工知能
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