Clustering Behaviors of Students for Recognizing Their Varied Situations during the Lecture from Its Video Images
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- Kotakehara Yuki
- School of Science and Technology, Kwansei Gakuin University
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- Kakusho Koh
- School of Science and Technology, Kwansei Gakuin University
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- Nishiguchi Satoshi
- Faculty of Information Science and Technology, Osaka Institute of Technology
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- Iiyama Masaaki
- Academic Center for Computing and Media Studies, Kyoto University
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- Murakami Masayuki
- Department of Teaching and Learning Support, Osaka University
Bibliographic Information
- Other Title
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- 講義映像に基づく受講者の多様な状況認識のための挙動のクラスタリング
- コウギ エイゾウ ニ モトズク ジュコウシャ ノ タヨウ ナ ジョウキョウ ニンシキ ノ タメ ノ キョドウ ノ クラスタリング
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Abstract
<p>In previous work on recognizing situations of lectures from their videos for reviewing those lectures to improve them, the behavior of looking ahead has been focused as the situation to be considered for the students, whereas various behaviors including pointing at slides, writing on the whiteboard, speaking to the students and so on have been considered as the situations for the lecturer. However, various behaviors of the students such as taking notes, dozing off, and so on as well as looking ahead could also be useful to estimate their understanding of the lecture. Since it is unknown what kinds of behaviors are actually observed in the students in the class beforehand, and the postures actually taken for those behaviors differ with each student, it is proposed in this article to obtain the situations actually observed in the students during the class by clustering their postures obtained from the lecture videos.</p>
Journal
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- Transactions of Japanese Society for Information and Systems in Education
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Transactions of Japanese Society for Information and Systems in Education 37 (2), 120-130, 2020-04-01
Japanese Society for Information and Systems in Education
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Details 詳細情報について
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- CRID
- 1390002184890516992
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- NII Article ID
- 130007826032
- 40022229987
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- NII Book ID
- AN10474042
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- ISSN
- 21880980
- 13414135
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- NDL BIB ID
- 030408856
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed