| Project/Area Number |
16K12791
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Educational technology
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| Research Institution | Hiroshima University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
中村 泰之 名古屋大学, 情報学研究科, 准教授 (70273208)
多川 孝央 九州大学, 情報基盤研究開発センター, 准教授 (70304764)
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 学習科学 / 計算社会科学 / ネットワーク科学 / 教育工学 / 協調学習 / 社会的シミュレーション / ラーニング・アナリティクス / 複雑ネットワーク / 学習分析 / 教育ビッグデータ / 解析・評価 / ネットワーク |
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| Outline of Final Research Achievements |
When we began this investigation, Learning Analytics (LA) in Japan moved into a nutshell and pursued in an old-way. The purposes of this research are as follows; (1) To introduce new scientific and mathematical approaches into Learning Analytics (LA), and (2) By these groundworks, to build a solid scientific and methodological foundation of LA as "Data Sciences". Above all else, important considerations of our research are to adopt a new approaches from the domain of Sociophysics and Complex Networks Sciences that are rapidly development areas.
The main contributions in this research are as follows; (1) When collaborate learning operates in a learning community, learners physical activities have a mathematical properties in terms of those accelerations (rhythms) distributions, and (2) Collaborate Learning Activities are affected by a community structures (the structure of multiplex networks of the community).
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