aceAdvancing clinical integration in undergraduate dental education through AI-enabled instructional design: a qualitative thematic analysis
Background: Despite growing interest in artificial intelligence (AI) in health professions education, qualitative evidence for integarting AI-supported instructional redesign on teaching practices and students' experiences in undergraduate dental education remains limited. The aim of this study was to explore the educational impact of AI-supported instructional redesign of lessons in undergraduate dental education. Methods: We conducted this inductive qualitative thematic analysis in an undergraduate dental educ…
Lessons redesigned with AI-supported recommendations produced more authentic clinical scenarios, reasoning activities, and active student engagement in an undergraduate dental setting.
The authors indicate the observed changes appeared to stem mainly from the pedagogical redesign rather than from AI itself, so the specific contribution of AI is not isolated.
Evidence
- Peer-reviewedMedical Education Online2026-10-19
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Truvace Impact Record TRV-2026-1929, v1: “Advancing clinical integration in undergraduate dental education through AI-enabled instructional design: a qualitative thematic analysis.” Truvace, 2026-10-19. /record/TRV-2026-1929 (accessed at citation time). sha256 026aaeeab656780a…
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