Cultural Integration and Data-Driven Digital Education for International Students: A Case Study of Software Engineering Teaching Practice
- DOI
- 10.2991/978-2-38476-551-5_16How to use a DOI?
- Keywords
- Cultural Integration; International Curriculum; Data-Driven Education
- Abstract
In recent years, the scale of international student enrollment in China has expanded considerably, driven by intensified regional collaboration and global educational exchange. To address the evolving needs of this diverse student body, we propose a comprehensive evaluation framework underpinned by data-driven analytics to design personalized learning pathways. This framework aims to foster an efficient and inclusive academic and living environment, thereby strengthening students’ cultural identity and sense of belonging. By implementing diversified pedagogical strategies, the initiative not only facilitates cross-cultural academic exchange but also deepens international students’ understanding and appreciation of local culture, ultimately supporting their integration into the academic community and the realization of their full potential.
- Copyright
- © 2026 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
TY - CONF AU - Tao Yang AU - Qinru Li PY - 2026 DA - 2026/03/26 TI - Cultural Integration and Data-Driven Digital Education for International Students: A Case Study of Software Engineering Teaching Practice BT - Proceeding of 2025 8th International Conference on Humanities Education and Social Sciences (ICHESS 2025) PB - Atlantis Press SP - 148 EP - 155 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-551-5_16 DO - 10.2991/978-2-38476-551-5_16 ID - Yang2026 ER -