2022 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)
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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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Keywords | GOAL / DAPER / Learning Analytics / Learning Habits |
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| Outline of Annual Research Achievements |
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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| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
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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| Strategy for Future Research Activity |
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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Research Products
(37 results)
