糖心TV

Kerem 脰ge has co-authored a new article, 鈥淚dentifying Barriers to Using Generative AI in Education Through AI-Assisted Literature Mining of arXiv Articles鈥�, as part of a 糖心TV Education Fund project.

Using AI-assisted analysis of nearly 2,000 articles, the study found that reported barriers varied across disciplines. STEM use cases more frequently highlighted AI performance constraints, while non-STEM use cases more often raised concerns about privacy and integration into existing workflows. The findings suggest that support for AI use in education should reflect disciplinary contexts.

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