Development of a next-generation personalized learning support system to seamlessly connect learning at school with learning at home by analyzing and visualizing personal educational data
Project/Area Number |
17K01074
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Educational technology
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Research Institution | Tokyo Gakugei University |
Principal Investigator |
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Project Period (FY) |
2017-04-01 – 2020-03-31
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Project Status |
Completed (Fiscal Year 2019)
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Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2019: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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Keywords | eポートフォリオ / 学習記録データ / ICT活用 / オンライン教育 / 学習支援システム / アクティブ・ラーニング / 学習評価 / 教育工学 / 教授学習支援システム |
Outline of Final Research Achievements |
In this study, we developed an integrated learning support system to seamlessly connect learning at school with learning at home. The system enables continuous personalized learning without being restricted by time or place. Learning data is analyzed to visualize students’ learning processes and outcomes. The system consists of four subsystems: (a) a personalized system to support learning at all times and in all places, (b) a thinking process visualization and self-regulated learning system, (c) an assessment support system for active learning and (d) an intelligence database system corresponding to educational big data. Each subsystem was evaluated in an experiment.
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Academic Significance and Societal Importance of the Research Achievements |
本研究の独自性は,ICTを用いて学習記録データを収集,知的に分析・可視化することで,授業の枠を越え,学校と家庭等を有機的につなぐ学びを実現すること,併せて,時間・場所等に制約されない個々の主体的な学びを継続的に支援することである。 これは,今の新型コロナ感染症下の学校教育において,特にニーズが表れており,アフター・コロナの状況下においても,小・中・高等学校が抱える課題を解決するための手段になり得ると考えられる。
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Report
(4 results)
Research Products
(54 results)