aceFrom Cheating to Coaching: How Chemistry Syllabi Frame Academic Integrity in the Age of Generative AI
Abstract Generative artificial intelligence (AI) is rapidly changing expectations for academic integrity in higher education, yet it remains unclear how institutional AI governance is translated into course-level guidance. This study examines how academic integrity and generative AI are framed in chemistry course documents and institutional policy documents. Using a hybrid inductive–deductive qualitative document analysis, I analyzed 18 publicly available chemistry course documents and 17 institutional policy do…
Only 2 of 18 chemistry course documents mention generative AI, while 15 of 17 institutional policies do, leaving students with little course-level guidance on acceptable AI use.
The analysis covers a small, publicly available document sample (18 course documents and 17 policy documents from nine institutions), and the author notes policies and syllabi will continue to evolve, so the findings are a baseline rather than a lasting measure.
Evidence
- Peer-reviewedJournal of Chemical Education2026-10-28
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Truvace Impact Record TRV-2026-2300, v1: “From Cheating to Coaching: How Chemistry Syllabi Frame Academic Integrity in the Age of Generative AI.” Truvace, 2026-10-28. /record/TRV-2026-2300 (accessed at citation time). sha256 331f31d8adee7104…
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