Real-time Learning Analytics for Advanced Education Support
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- Shimada Atsushi
- Principal Investigator
- 九州大学
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- 殷 成久
- Co-Investigator
- 神戸大学
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- 山下 隆義
- Co-Investigator
- 中部大学
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- 毛利 考佑
- Co-Investigator
- 広島市立大学
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- 内山 英昭
- Co-Investigator
- 奈良先端科学技術大学院大学
About this project
- Japan Grant Number
- JP18H04125
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding organization
- Japan Society for the Promotion of Science
- Project/Area Number
- 18H04125
- Research Category
- Grant-in-Aid for Scientific Research (A)
- Allocation Type
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- Single-year Grants
- Review Section / Research Field
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- Medium-sized Section 62:Applied informatics and related fields
- Research Institution
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- Kyushu University
- Project Period (FY)
- 2018-04-01 〜 2022-03-31
- Project Status
- Completed
- Budget Amount*help
- 43,420,000 Yen (Direct Cost: 33,400,000 Yen Indirect Cost: 10,020,000 Yen)
Research Abstract
We conducted our research with the aim of realizing an educational space to adaptively support teaching and learning through real-time learning analytics of learning activities. We studied technologies for sensing learning activities, real-time analysis of learners' activities, and information presentation technologies for adaptive education and learning support. At the time of the research planning, these technologies were developed for face-to-face classes, and later the technologies and user interfaces were improved to support online classes. We confirmed that the technologies and systems developed for both types of classes function effectively to support learning and education in real time.
Details 詳細情報について
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- CRID
- 1040282256971034624
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- Text Lang
- ja
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- Data Source
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- KAKEN