| 研究課題/領域番号 |
22H03902
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| 配分区分 | 補助金 |
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| 研究機関 | 熊本大学 |
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研究代表者 |
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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| 研究分担者 |
Flanagan Brendan 京都大学, 国際高等教育院, 特定准教授 (00807612)
李 慧勇 京都大学, 学術情報メディアセンター, 特定研究員 (60913910)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| キーワード | GOAL / DAPER / Learning Analytics / Learning Habits |
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| 研究実績の概要 |
The GOAL project focused on the context of investigating self-directed learning behaviors in a data-rich environment. The learning contexts include english learning and group learning with online learning tools. As part of the project, we developed functions in the GOAL system and in the Learning and Evidence Analytics (LEAF) framework. Data collected while users used the tools are utilized to analyze learning behaviors and further create data-driven services for supporting the learners and teachers. The role of the designed learning analytics dashboards were investigated in different contexts. Apart from the application of the systems in regular schools and university learning contexts, studies were conducted to understand its usefulness in the special education context at an elementary school level. Lab studies related to the multimodal learning analytics with physical sensor data and online learning logs highlighted the potential of the GOAL architecture to synthesize different types of data. The results were reported in multiple international journals and as peer reviewed conference publications. The workshop series on embodied learning at ICCE was continued this year too which involved international collaborations.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
The research progress was a bit delayed as a co-PI had to leave Japan after completing his postdoctoral research period. There was no replacement found, but we focused on continuing the data analysis part to understand learner behaviros in various learning contexts.
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| 今後の研究の推進方策 |
We initiated design of a new system, LAreflecT. It is a data-driven environment to author mciro-learning tasks with multimedia elements. The system will support a reflective pedagogy by providing a learning path with immediate after task reflection in the learning dashboard. We will continue to use the three systems LEAF system, GOAL and LAreflect, and design data-driven teaching learning workflow using them.
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