| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-08-07 |
| タイトル |
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|
タイトル |
Is Internal State Feedback in an E-learning Environment Acceptable to People? |
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言語 |
en |
| 著者 |
Ashida, Atsushi
Kawamura, Ryosuke
Shirai, Shizuka
武村, 紀子
Alizadeh, Mehrasa
Hayashi, Hideaki
Nagahara, Hajime
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
In on-demand e-learning environments, the lack of direct intervention can lead to a decline in learners’ engagement. To address this issue, systems that estimate the learners’ attitudes and provide feedback have been proposed. However, the acceptability of such systems has not been sufficiently researched. In this study, we investigated the acceptability by people to an e-learning system with internal state feedback, for future personalized learning support. To this end, we developed a system that estimates and visualizes the learner’s internal state in real-time. The system was exhibited in a public space for free use, and users’ impressions were analyzed. To estimate the learners’ internal state, we developed a machine-learning model that recognizes learners’ alertness from facial videos. The system was deployed in an exhibition space, and 131 responses were collected. These responses were coded and analyzed using a co-occurrence network. The result indicated that learners tend to dislike the system due to feelings of being observed by supervisors. In contrast, instructors expressed favorable options toward the introduction of the system. |
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言語 |
en |
| 備考 |
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内容記述タイプ |
Other |
|
内容記述 |
32nd International Conference on Computers in Education, ICCE 2024, November 25-29, Manila, Philippines |
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言語 |
en |
| 書誌情報 |
発行日 2024-11-25
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| キーワード |
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言語 |
en |
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主題Scheme |
Other |
|
主題 |
Video-based-learning |
| キーワード |
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言語 |
en |
|
主題Scheme |
Other |
|
主題 |
e-learning |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
engagement |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
alertness |
| キーワード |
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|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
feedback |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| DOI |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.58459/icce.2024.4817 |
| 助成情報 |
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助成機関識別子タイプ |
Crossref Funder |
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助成機関識別子 |
https://doi.org/10.13039/501100001691 |
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|
助成機関名 |
日本学術振興会 (JSPS) |
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|
言語 |
ja |
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助成機関名 |
Japan Society for the Promotion of Science (JSPS) |
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|
言語 |
en |
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研究課題番号タイプ |
JGN |
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研究課題番号 |
24K16753 |
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|
研究課題番号URI |
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-24K16753/ |
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研究課題名 |
非同期型e-Learningにおける授業洗練のための学習者の振る舞い検出・集約手法の開発 |
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言語 |
ja |
| 研究者情報 |
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|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/100001540_ja.html |
| 論文ID(連携) |
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|
値 |
10462335 |
| 連携ID |
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|
値 |
14820 |