Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Framework Design of Expression Concentration Feedback System in the Online Classroom

Authors
Xinyi Zhou1, Shengrong Gong2, *, Wenhao Ying2
1School of Computer and Information Technology, Northeast Petroleum University, Daqing, Heilongjiang, China
2Computer Science and Engineering, Changshu Institute of Technology, Changshu, Jiangsu, China
*Corresponding author. Email: shrgong@cslg.edu.cn
Corresponding Author
Shengrong Gong
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_109How to use a DOI?
Keywords
online education; classroom concentration; expression recognition
Abstract

The advancement of Internet technology has provided development space for online education. Catalyzed by the global epidemic, online education has been further promoted and has become the core proposition of education. However, teachers and students in the online classroom are separated in time and space, and teachers cannot fully understand the status of students in class, which affects the teaching effect. In this context, the development of computer vision allows solving related problems. Teachers can use visual technology to grasp the changes of students’ expressions in class, track their concentration in class, analyze classroom dynamics, and adjust teaching methods in real-time. Therefore, this study uses the popular expression recognition technology in the field of computer vision to link classroom expressions and concentration and proposes a “Feedback System Framework of the Online Classroom Concentration Based on Expression Recognition”. The framework operates in a progressive and hierarchical mechanism to assist teachers in teaching and meet students’ learning needs.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_109How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xinyi Zhou
AU  - Shengrong Gong
AU  - Wenhao Ying
PY  - 2023
DA  - 2023/06/30
TI  - Framework Design of Expression Concentration Feedback System in the Online Classroom
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1032
EP  - 1043
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_109
DO  - 10.2991/978-94-6463-172-2_109
ID  - Zhou2023
ER  -