Frontiers study: 104 undergraduates used generative AI to prepare and teach lessons over two semesters

Frontiers in Education published a community case study on 29 September 2026 examining AI literacy, perceived learning benefits and ethical awareness among 104 undergraduates after a structured AI-integrated classroom activity across two semesters. Students used ChatGPT, Google Gemini and Microsoft Copilot to prepare and deliver short lessons to classmates, followed by discussions on responsible and ethical AI use. Survey results showed strong agreement that AI made learning easier and more enjoyable (M = 4.29), saved time on academic tasks (M = 4.27) and improved work quality (M = 4.09). AI literacy was positively correlated with perceived learning benefits (r = 0.559).

This study offers a verifiable case of structured generative AI use in a higher education classroom, with specific participant numbers, tools, duration and survey measures, giving teachers direct reference points for designing AI-integrated courses. It focuses on classroom arrangements that move students from passively consuming AI outputs toward actively evaluating them and taking responsibility, rather than broadly claiming AI improves learning outcomes. The study is a case study relying on self-reported questionnaires, so correlations cannot be read as causation, and the sample is limited to 104 undergraduates at one university. Teachers can reference its classroom structure to bring generative AI into lesson preparation, teaching and ethics discussions rather than only after-class use. Universities designing AI literacy courses can note the association between AI literacy and ethical awareness, and the possible mediating role of perceived learning benefits.