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MDNN: Predicting Student Engagement via Gaze Direction and Facial Expression in Collaborative Learning

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成果类型:
期刊论文
作者:
Chen, Yi;Zhou, Jin;Gao, Qianting;Gao, Jing;Zhang, Wei
通讯作者:
Chen, Yi(chenyi30@ccnu.edu.cn)
作者机构:
[Chen, Yi; Zhou, Jin; Gao, Jing] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.
[Gao, Qianting] Rensselaer Polytech Inst, Sch Sci, Comp Sci, Troy, NY 12180 USA.
[Zhang, Wei] Cent China Normal Univ, Natl Engn Lab Educ Big Data Applicat Technol, Wuhan 430079, Peoples R China.
通讯机构:
[Chen, Y.] S
School of Computer Science, China
语种:
英文
关键词:
deep network;Engagement;facial expression;gaze
期刊:
工程与科学中的计算机建模(英文)
ISSN:
1526-1492
年:
2023
卷:
136
期:
1
页码:
381-401
基金类别:
Funding Statement: This work is supported by the National Natural Science Foundation of China (No. 61977031) and XPCC’s Plan for Tackling Key Scientific and Technological Problems in Key Fields (No. 2021AB023-3).
机构署名:
本校为第一机构
院系归属:
计算机学院
摘要:
Prediction of students’ engagement in a Collaborative Learning setting is essential to improve the quality of learning. Collaborative learning is a strategy of learning through groups or teams. When cooperative learning behavior occurs, each student in the group should participate in teaching activities. Researchers showed that students who are actively involved in a class gain more. Gaze behavior and facial expression are important nonverbal indicators to reveal engagement in collaborative learning environments. Previous studies require the w...

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