The Curriculum Reform and Practice of “Teaching-Learning Mutual Enhancement and Teacher-Student Co-construction” in the Context of Generative AI: A Case Study of the International Trade Practice
Authors
Yan Wu1, *, Rui Lei2
1Beijing Institute of Technology, Zhuhai, China
2China Mobile Communications Group Guangdong Co., LTD., Zhuhai Branch, Zhuhai, China
*Corresponding author.
Email: wu_yan@bitzh.edu.cn
Corresponding Author
Yan Wu
Available Online 7 September 2026.
- DOI
- 10.2991/978-2-38476-611-6_20How to use a DOI?
- Keywords
- Generative AI; Teaching-Learning Mutual Enhancement; Teacher-Student Co-construction; Tripartite Integration; International Trade Practice
- Abstract
Building upon traditional curriculum reform practices centered on “Teaching-Learning Mutual Enhancement and Teacher-Student Co-construction,” this paper develops a tripartite reform model that integrates students, teachers, and generative AI. Focusing on six key dimensions-value orientation, teaching content, teaching resources, instructional methods, assessment approaches, and teaching evaluation-the study deepens the operational mechanism of “Teaching-Learning Mutual Enhancement and Teacher-Student Co-construction.” By applying this model to the International Trade Practice course, the reform is effectively implemented, yielding positive teaching outcomes and enhanced student satisfaction.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 3.0 International License (http://creativecommons.org/licenses/by-nc/3.0/), 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
TY - CONF AU - Yan Wu AU - Rui Lei PY - 2026 DA - 2026/09/07 TI - The Curriculum Reform and Practice of “Teaching-Learning Mutual Enhancement and Teacher-Student Co-construction” in the Context of Generative AI: A Case Study of the International Trade Practice BT - Proceedings of the 2026 12th International Conference on Digital Humanities and Frontiers in Social Sciences (DHFSS 2026) PB - Atlantis Press SP - 175 EP - 184 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-611-6_20 DO - 10.2991/978-2-38476-611-6_20 ID - Wu2026 ER -