Application effect and teaching evaluation of case-based learning combined with ChatGPT in ophthalmology clinical teaching.
Case-based learning with ChatGPT increased student satisfaction in ophthalmology teaching
Application effect and teaching evaluation of case-based learning combined with ChatGPT in ophthalmology clinical teaching.
To investigate the effectiveness of a case-based learning (case-based learning) model integrated with ChatGPT in ophthalmology clinical teaching and to compare its educational outcomes with those of the traditional multimedia lecture-based approach.
A total of 98 fifth-year clinical medicine students from Shanghai Jiao Tong University School of Medicine (Class of 2021) were randomly assigned to an experimental group (case-based learning + ChatGPT, n = 49) or a control group (traditional lecture-based teaching, n = 49).
Recognition rates across all seven evaluation dimensions, including interactivity, immediate feedback, and clinical relevance, were significantly higher in the experimental group (all P < 0.05).
Subgroup analysis demonstrated that students with weaker academic foundations benefited most from the intervention, showing the greatest improvement in scores (+12.3 points, P < 0.01).
The case-based learning teaching model integrated with ChatGPT significantly improves both objective learning outcomes and subjective satisfaction in ophthalmology clinical education, particularly among students with weaker academic foundations.
This teaching approach demonstrates substantial potential for broader implementation in medical education.