Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)

<Previous Article In Volume
Next Article In Volume>

Optimization Strategies for the Group Cooperative Learning Model in the Undergraduate Artificial Intelligence Course

Authors
Lu Wang1, Binquan Zhang1, *, Xiaogang Tang1, Litian Liu1, Li Lin2, Hongyu Zhao2, Xiaowen Wang2, Xianyi Song2
1Space Engineering University, Beijing, 101416, China
2Aerospace Systems Department, Beijing, 100080, China
*Corresponding author. Email: bqzhang_2022@163.com
Corresponding Author
Binquan Zhang
Available Online 15 May 2025.
DOI
10.2991/978-2-38476-400-6_58How to use a DOI?
Keywords
Undergraduate; Artificial intelligence course; Group cooperative learning; Optimization strategy
Abstract

In view of the problems in the group cooperative learning mode of undergraduate artificial intelligence courses, such as one-way teaching, formalization of group cooperation, poor timeliness of teaching content and imperfect teaching evaluation feedback mechanism, etc. This paper takes the undergraduate artificial intelligence course as the research object, and deeply discusses the group cooperative learning mode. Based on the analysis of various problems in group cooperative learning in the current curriculum and the theoretical basis of educational psychology and multiple intelligence theory, this paper puts forward a series of targeted and operable optimization strategies. It aims to effectively improve the teaching effectiveness of artificial intelligence courses and enhance students’ professional quality and comprehensive ability in this field. It provides an effective improvement example and theoretical support for the teaching of undergraduate artificial intelligence courses, and has great significance for promoting the teaching reform of related courses.

Copyright
© 2025 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 May 2025
ISBN
978-2-38476-400-6
ISSN
2352-5398
DOI
10.2991/978-2-38476-400-6_58How to use a DOI?
Copyright
© 2025 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  - Lu Wang
AU  - Binquan Zhang
AU  - Xiaogang Tang
AU  - Litian Liu
AU  - Li Lin
AU  - Hongyu Zhao
AU  - Xiaowen Wang
AU  - Xianyi Song
PY  - 2025
DA  - 2025/05/15
TI  - Optimization Strategies for the Group Cooperative Learning Model in the Undergraduate Artificial Intelligence Course
BT  - Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
PB  - Atlantis Press
SP  - 479
EP  - 488
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-400-6_58
DO  - 10.2991/978-2-38476-400-6_58
ID  - Wang2025
ER  -