| 研究課題/領域番号 |
22K02874
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| 研究種目 |
基盤研究(C)
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| 配分区分 | 基金 |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分09070:教育工学関連
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| 研究機関 | 京都先端科学大学 (2023)
立命館大学 (2022) |
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研究代表者 |
マルチュケ モリツ 京都先端科学大学, 経済経営学部, 准教授 (80738584)
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| 研究分担者 |
林 勇吾 立命館大学, 総合心理学部, 教授 (60437085)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
3,900千円 (直接経費: 3,000千円、間接経費: 900千円)
2024年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2023年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2022年度: 2,080千円 (直接経費: 1,600千円、間接経費: 480千円)
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| キーワード | E-Learning / Online Course / Kano model / E-learning / Educational technology / Machine Learning / Kano Model |
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| 研究開始時の研究の概要 |
This research aims to address the comprehension of e-learning online course features by using the Kano model in combination with statistical and machine learning methods.
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| 研究実績の概要 |
I have (co-)authored six papers and two books (editor of IEEE and Springer conferences), five of them as first author, including a high-impact journal (Disasters, accepted for publishing). The knowledge gained form this research has ignited another collaborative research project with an international community of practice.
The research system setup was updated (dynamic CMS website with necessary functionality and questionnaire updates). Because of a job change, course data could not be collected as planned. One online course (Introduction to Algorithms and Programming) was continued and analyzed. Re-designed questionnaires were implemented. While the job change resulted in a delay of the research conduct, an effort was made instead to disseminate the research findings and analyze existing results. As a Program Committee Chair for three international conferences (Springer, IEEE, and ACM), research ideas could be shared with wider audiences.
A word-embedding language model (based on Word2Vec) was developed to support the Kano model findings. Students' expectation vs consumption experience were compared via ex-ante and ex-post Kano questionnaires. The language model was used to explain some of the shifts that occurred in students' perception of online course feature from before to after taking the course. The findings were published in an ACM conference and lead to a separate paper accepted for publication in the journal Disasters.
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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
Due to a job change to a different university, class data could not be collected as planned. For each class that data is gathered from, an online course has to be designed, implemented, and tested. This lead to a delay in the planned research conduct.
A workshop and research discussions planned for AY2023 in Germany were also delayed for AY2024. A focus was given to research result dissemination and planning (working as a PC Chair for three international conferences, IEEE, Springer, and ACM).
The research is therefore panned to be extended for one year.
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| 今後の研究の推進方策 |
Data from further courses is planned to be implemented and evaluated. In addition to undergraduate classes, graduate classes will also be taken into account.
Results from additional classes will be consolidated with previous findings. Advanced language models (transformer based, e.g., BERT), including Topic Modeling, will be used to evaluate freeform text comments and create a hybrid model with the Kano method. New and updated results will be published in top international conferences. A workshop in Germany is planned to expand the educational community of practice.
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