aceBridging technology and pedagogy: a cross-sectional analysis of AI use, self-reported academic effects, and ethical concerns among students across diverse health science curricula
Abstract Background Artificial Intelligence has emerged as a transformative force in health professions education, yet its impact on academic success and students' ethical concerns remains underexplored. This study evaluates AI utilization patterns and their perceived effects on learning outcomes among health science students. Methods Using a stratified two-stage cluster sampling design, data were collected from 310 students across various health-related programs via interviewer-administered questionnaires. Resu…
Health science students at the University of Bisha rated AI as improving their study efficiency (3.70/5) and understanding of complex topics (3.90/5), and 54.2% said it improved their grades.
Although 90% of 310 surveyed health science students used ChatGPT, 82.6% had received no formal AI instruction and 61% voiced ethical concerns, leaving them exposed to automation bias.
Evidence
- Peer-reviewedBMC Medical Education2026-11-03
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Truvace Impact Record TRV-2026-2376, v1: “Bridging technology and pedagogy: a cross-sectional analysis of AI use, self-reported academic effects, and ethical concerns among students across diverse health science curricula.” Truvace, 2026-11-05. /record/TRV-2026-2376 (accessed at citation time). sha256 ca1e1bb22e024150…
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