AI access

Preprint: Students’ access to generative AI did not ensure equally usable support across languages

Ming Li, Qin Xie, Ariunaa Enkhtur, Lilan Chen, Fei Cheng

arXiv preprint (work in progress)

Interviews with 42 undergraduates at universities in China, Japan, and Mongolia explored how students selected AI tools, chose interaction languages, and checked outputs. Participants described different routes from technical access to useful academic support, including switching languages when responses seemed inadequate. This work-in-progress preprint presents situated accounts rather than national comparisons or measured learning gains. It raises practical questions about evaluating an AI service in the languages students actually use.