| Issue |
SHS Web Conf.
Volume 235, 2026
2026 4th International Conference on Education, Psychology and Cultural Communication (ICEPCC 2026)
|
|
|---|---|---|
| Article Number | 05012 | |
| Number of page(s) | 6 | |
| Section | Cross-Cultural Communication and Higher Education | |
| DOI | https://doi.org/10.1051/shsconf/202623505012 | |
| Published online | 30 June 2026 | |
Reproduction of Global Higher Education Inequality in the Era of Artificial Intelligence--Digital infrastructure, knowledge acquisition ability and international student mobility
School of Literature, Hainan Normal University, Haikou, 571127, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The application of AI technology and its participation and integration in the field of higher education are important topics of concern and discussion in recent years.Combining the relevant literature, it can be found that scholars have done a lot of work on the three directions of digital infrastructure, knowledge acquisition ability and international student flow, but they have not yet formed a systematic review. This paper finds that digital infrastructure has laid the foundation for the formation of artificial intelligence resource inequality on the material condition, the ability to acquire knowledge extends to another differentiation condition for the use of AI resources in embodied capital, and the flow of international students shows a stronger trend of “survival of the fittest”, and excellent educational resources are closer to advantageous regions and groups. Together, the three form a closed loop of infrastructure constraints, ability differentiation affects mobility, and student mobility nurtures resource allocation. Based on this, this paper suggests that the government, society and individuals should work together to intervene from the three directions of AI infrastructure construction, knowledge acquisition and application ability and international student flow.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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