Analysis of Teaching Effectiveness of the Combinations of Artificial Intelligence Technology with PBL and CBL in Clinical Dermatology Cosmetology Teaching

Purpose This study aimed to evaluate the effectiveness of integrating artificial intelligence (AI) with problem-based learning (PBL) and case-based learning (CBL) in a dermatology cosmetology course for clinical medical interns. Materials & Methods This prospective randomized controlled trial involved 70 clinical interns rotating in the medical cosmetology department. Participants were randomly assigned to two groups and followed the same curriculum over 8 weeks. The experimental group (n = 40) used a teaching method combining AI with PBL and CBL, while the control group (n = 30) followed the traditional PBL and CBL approach. Assessments included theoretical exams, case analysis, and anonymous feedback surveys to evaluate teaching quality. Results All participants completed the examinations and questionnaires. The average theoretical test scores and case analysis test scores of the experimental group were higher than those of the control group (P < 0.001). The indicators of the experimental group’s feedback were better than those of the control group, such that the improvement of learning interest and motivation, the improvement of understanding of diseases and knowledge, the improvement of independent learning ability, the improvement of clinical thinking and summary ability, as well as a more positive classroom atmosphere and more helpful for future clinical work (P < 0.05). Conclusion Compared to the PBL combined CBL teaching method, the teaching mode combining AI with PBL and CBL teaching method showed a higher efficacy. The learning model effectively improved students’ outcomes and satisfaction, which helped students narrow the gap between theoretical knowledge and clinical practical application.