A Proposal of Detection Function of Degree of Understanding from Quiz Responses in Course Management Systems
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- KATO Toshiyasu
- Nippon Institute of Technology
Bibliographic Information
- Other Title
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- 授業支援システムMoodleにおける小テスト結果からの 理解度不足の検出機能の提案
Abstract
This paper proposes a function that analyses the quiz results and determines the content that a student has not sufficiently understood. This information is subsequently presented to the teacher. The proposed function statistically tests for differences in systematically classified correct answer rates and detects which of the studied content has significantly low correct answer rates. The results of an evaluation experiment showed that 86% of the content that was determined to have been understood insufficiently had been explained by the teacher. This result demonstrates that the proposed function is useful in enabling teachers to accurately ascertain which parts of the studied content have not been sufficiently understood.
Journal
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- Journal of Learning Analytics
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Journal of Learning Analytics 2 (0), 1-10, 2018
Japanese Society for Learning Analytics
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Details 詳細情報について
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- CRID
- 1390852870563138816
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- NII Article ID
- 130008108149
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- ISSN
- 24366862
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Allowed