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This study examines how medical students utilize GenAI during self-study and the impact on their learning practices.

What are medical students really doing with GenAI in their self-study? An epistemic entanglement framework approach

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Qualitative study explores how medical students interact with GenAI in self-study, suggesting new learning dynamics.

This study examines how medical students utilize GenAI during self-study and the impact on their learning practices.
Qualitative study design with clinical year medical students using GenAI tools during training.
Data collected through semi-structured interviews and participants' actual chat interactions with GenAI.
Thematic analysis was conducted with abductive coding informed by the Epistemic Entanglement Framework.
Twenty clinical year medical students participated in the study.
Three key themes emerged: interaction with GenAI as a human actor, co-construction of knowledge, and varying levels of reliability.
Students reported issues with GenAI's accuracy and contextual understanding, impacting their study behaviors.

Ng et al. (2026) studied this question.

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