A Study on Learning Analytics focusing on Feedback for New On-Demand Educational Practice
| Project/Area Number |
15K01094
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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 | Hosei University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
寺脇 由紀 法政大学, 経営学部, 講師 (30559365)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | MOOCs / 学習データ解析 / フィードバック / 機械学習 / 深層学習 / 教材情報システム / オンライン学習 / MOOC / Deep Learning / ブレンド型学習 |
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| Outline of Final Research Achievements |
With the growing interest in recent on-demand education, research topics about not only delivering the lectures but also learning analytics for the lectures have been increased for feedback from teachers to learners. We started to research for learning analytics for our own online courses using statistical analysis method and performed large scale learning analytics using machine learning and deep learning on large scale learning data. We have been able to predict students' performance with high accuracy. Furthermore, we frequently discussed with overseas researchers in this field. We always do research incorporating with the newest technology. We will continue to do these researches.
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Report
(4 results)
Research Products
(23 results)
