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Joint gaze estimation and facial expression for student engagement prediction in collaborative learning

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成果类型:
会议论文
作者:
Yi Chen;Jin Zhou;Jing Gao;Ge Gao;Sai Wang;...
作者机构:
[Yi Chen; Jin Zhou; Jing Gao; Sai Wang] School of Computer Science, Central China Normal University, Wuhan, P.R.China
[Wei Zhang] National Engineering Laboratory of Educational Big Data Application Technology, Central China Normal University, Wuhan, P.R.China
[Ge Gao] School of Computer Science, Wuhan University, Wuhan, P.R.China
语种:
英文
关键词:
engagement;facial expression;deep network;gaze
年:
2021
页码:
703-707
会议名称:
2021 IEEE International Conference on Engineering, Technology & Education (TALE)
会议论文集名称:
2021 IEEE International Conference on Engineering, Technology & Education (TALE)
会议时间:
05 December 2021
会议地点:
Wuhan, Hubei Province, China
出版者:
IEEE
ISBN:
978-1-6654-3688-5
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61977031)
机构署名:
本校为第一机构
院系归属:
计算机学院
摘要:
Estimating and improving students' engagement in a collaborative learning environment is an important component in the field of learning research. Collaborative learning is a strategy of learning activities employed by small groups in which cooperative learning behaviors are closely related to other members or objects in the group. Researchers showed that students who are actively involved in class learn more. Therefore, gaze behavior and facial expression are important nonverbal indicators in cooperative learning environments. In this paper, we proposed a multimodal deep neural network (MDNN)...

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