Evaluation of the Teaching Effectiveness of AI-Assisted, Real Hypertension Case–Driven Team-Based Learning in an Introduction to General Practice Course

DOI: 10.12201/bmr.202604.00032

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  Abstract: Objective To evaluate the teaching effectiveness of an AI-assisted, real hypertension case-driven, team-based learning model in the undergraduate Introduction to General Practice course. Methods A total of 68 undergraduate clinical medicine students from the Class of 2022 were randomly assigned to a control group and an experimental group, with 34 students in each group. The control group received traditional lecture-based teaching, while the experimental group was taught using an AI-assisted, real hypertension case–driven, team-based learning approach in addition to routine theoretical instruction. Final theoretical examination scores, questionnaire survey results, and teaching satisfaction were compared between the two groups. Results There was no significant difference in final theoretical examination scores between the two groups (P>0.05). Compared with the control group, students in the experimental group demonstrated better understanding of general practice concepts, greater awareness of general practitioners’ work, and higher overall cognition of general practice (P<0.05). Teaching satisfaction was also significantly higher in the experimental group (P<0.05). Conclusion The AI-assisted, real hypertension case-driven, team-based learning model does not compromise undergraduate students’acquisition of theoretical knowledge in general practice and may enhance students’ cognition of general practice and overall teaching satisfaction. This approach may serve as a reference for optimizing teaching strategies in undergraduate general practice education.

  Key words: General practice; Medical education; Case-driven teaching; Artificial intelligence; Hypertension

  Submit time: 5 April 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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