A study support system that derives the best time to start supporting a learner by analyzing comprehension state and motivation of the learner
| Project/Area Number |
25350306
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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 |
Educational technology
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| Research Institution | Osaka University of Arts |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 教育工学 / 教授学習支援システム / ソフトウェア工学教育 / 学習者支援開始時期 / ARCSモデル |
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| Outline of Final Research Achievements |
In this research, we focused on the relation between comprehension state and motivation of a learner in an e-learning course, and derived the best time to start supporting the learner by analyzing the relation from a statistical perspective. We proposed a method to statistically analyze the relation between comprehension state and motivation of a learner, and developed a model of the relation between them. We then developed a mechanism for systematically deriving the best time to start supporting a learner. We think that the results of the research are important indexes for developing new teaching environments because the results show that the feedback from the e-learning system can be used to enhance learning as the teacher intended, and allow educators to make the best use of the learning systems.
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Report
(4 results)
Research Products
(14 results)
