2023 Fiscal Year Annual Research Report
GOAL project: AI-supported self-directed learning lifestyle in data-rich educational ecosystem
| Project/Area Number |
22H03902
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| Allocation Type | Single-year Grants |
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| Research Institution | Kumamoto University |
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Principal Investigator |
Majumdar Rwito 熊本大学, 半導体・デジタル研究教育機構, 准教授 (30823348)
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| Co-Investigator(Kenkyū-buntansha) |
Flanagan Brendan 京都大学, 国際高等教育院, 特定准教授 (00807612)
緒方 広明 京都大学, 学術情報メディアセンター, 教授 (30274260)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Keywords | GOAL / Learning Analytics / LAreflecT / Learning Habits / Collaborative learning |
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| Outline of Annual Research Achievements |
This research aims to design and support student’s self-directedness by data-informed approaches in everyday learning context. As part of the research we built online system, GOAL which synchronizes the students' online learning logs and assists them to analyze, plan, monitor and reflect on their self-directed learning activities. The system was used in a junior high and high school in Japan and continued to collect students interaction logs, plans and self-reflection notes. The students engaged in learning activities such as extensive reading and reflecting on their weekly mathematics learning
This year the research could progress in investigations related to self-directed activity profiler. Empirical studies were conducted in learning habit building, group learning in a data-rich environment and analysis of the data collected in the GOAL system in the actual school scenario over the last year. It helped to conceptualize more of the personalized feedback generator features. The development involved GOAL v2.0 and LAreflecT, a new system for supporting teachers to author reflective micro-learning tasks. LAreflecT was introduced to students and teachers in 2 international conferences and at 2 institutes in India and Taiwan.
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| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
Along with emperical studies, a new system LAreflecT was developed, which also had capabilities of data-driven reflection for teachers and students. The system was then used in classrooms in India, Taiwan and Japan. It also provided opportunities of international joint research.
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| Strategy for Future Research Activity |
The work this year involves
1. Analysis of GOAL data to understand weekly test preparation strategies of junior high school students.
2. Design prototyping a habit dashboard for the students.
3. Understanding cross activity self-directedness of the students.
4. Updating the LAreflecT authoring tool with integration of generative AI API.
5. Developing further analysis modules in the LAreflecT dashbaord.
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