2021 Fiscal Year Final Research Report
Textbook Refinement Based on Difficulty Estimation Using Multimodal Learning Logs
| Project/Area Number |
19K20421
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 62030:Learning support system-related
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| Research Institution | Kyushu University |
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Principal Investigator |
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | マルチモーダルデータ分析 / 機械学習 / 教育データ分析 / 視線分析 |
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| Outline of Final Research Achievements |
We developed (1) a method for estimating the difficulty level of a textbook using eye movement information while reading a digital textbook and (2) a method for estimating learners' comprehension using the learning logs of a digital textbook system as technologies for improving textbooks. In (1), the proposed method estimates the difficulty level of each page based on eye movement information during browsing textbooks and visualizes the parts of the page where learners feel difficult. In (2), the proposed method estimates the comprehension level of each page of digital textbooks based on learning logs during browsing textbooks. Combining (1) and (2) makes it possible to implement a system to visualize which part of a page a learner finds difficult to understand.
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| Free Research Field |
ラーニングアナリティクス
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| Academic Significance and Societal Importance of the Research Achievements |
効率よく人材を育成するためには，学習者にとってわかりやすい教育を提供することが求められる．特に，講義形式の授業や自習で用いられる教科書の改善は高い教育改善効果が期待できる．しかし，これまでの教科書改善は教育者に一任されている部分が多く，学習者にとって意味のある改善であるかは明らかではなく，わかりにくい箇所の特定も容易でない．本研究の成果は，データに基づいた改善と教材改善にかかる負担の軽減につながるため，教育改善の効率化の観点から意義深い．
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