Exploring the use of a digital anatomy learning platform in a second-year medical student cohort

Digital anatomy learning platforms hold potential academic benefits, yet there is currently no universally accepted pedagogical framework guiding their utilization. This study applied the lens of Laurillard's conversational framework to explore second-year medical students' experiences with a digital anatomy learning platform at a South African university. An explanatory sequential mixed methods design was employed. Phase 1 used whole population (N = 280) sampling to survey students' usage of, and access to, the digital anatomy learning platform. The survey response rate was 29%, with 47% of respondents reporting usage of the platform. Internet and device limitations were minimal, with 74% and 87% respectively reporting no hindrance. While 39% found Primal Pictures easy to use and helpful to their learning, a disconnect emerged between perceived value and actual usage, with only 5% of participants exhibiting high usage. Phase 2 used purposive sampling (n = 13) based on students' usage of digital anatomy learning platforms. Two focus groups and two individual interviews explored students' use of the learning platform. Qualitative data were both deductively and inductively analyzed. Two themes were identified: types of learning and influencers of learning. Findings from the deductive analysis indicated that students engaged mainly in acquisition-based learning. Inductive analysis showed students encountered various factors that influenced their learning behavior. Affective domain development emerged as a key factor in students' engagement with their anatomy studies and the digital learning platform, suggesting a potential gap in the conversational framework. Digital anatomy learning platforms may strengthen approaches to learning anatomy if implemented systematically, together with pre-training.