aceDifferences in perceived influences and educational support needs of generative AI among medical and nursing students across educational levels: a descriptive qualitative study
Generative artificial intelligence (GAI) has been extensively integrated into nursing and medical education, significantly transforming the academic practices of students. Nonetheless, the varying impacts of GAI on core competency of student across educational stages remain ambiguous, with limited empirical evidence on hierarchical educational support needs. Drawing on cross-sectional comparisons of GAI-related experiences among undergraduate, master’s, and doctoral students, this study aimed to explore differen…
Students perceived generative AI as benefiting critical thinking and knowledge acquisition, with research competency gains largely confined to postgraduates.
Students perceived generative AI as bringing risks of over-reliance, academic integrity breaches and cognitive offloading in their studies.
The authors say their proposed model is preliminary and needs further validation in diverse educational contexts; the sample is also from a single western Chinese medical university.
Evidence
- Peer-reviewedBMC Medical Education2026-10-17
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Truvace Impact Record TRV-2026-1832, v1: “Differences in perceived influences and educational support needs of generative AI among medical and nursing students across educational levels: a descriptive qualitative study.” Truvace, 2026-10-18. /record/TRV-2026-1832 (accessed at citation time). sha256 74e01968b001d353…
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