Application of artificial intelligence assistant system combined with CBL teaching method in the teaching of strabismus specialty of ophthalmic residents
10.3760/cma.j.cn116021-20220520-01217
- VernacularTitle:人工智能辅助系统结合CBL教学在眼科住院医师斜视专业教学中的应用
- Author:
Lili GUO
1
;
Yongzhen BAO
;
Lejin WANG
Author Information
1. 北京大学人民医院眼科/眼视光中心/眼病与视光医学研究所/视网膜脉络膜疾病诊治研究北京市重点实验室/北京大学医学部眼视光学院，北京 100044
- Keywords:
Artificial intelligence;
Case-based learning;
Ophthalmology teaching;
Standardized residency training
- From:
Chinese Journal of Medical Education Research
2023;22(3):416-420
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the application of artificial intelligence (AI) assistant system combined with case-based learning (CBL) in the teaching of strabismus specialty for ophthalmic residents.Methods:Forty ophthalmic residents who were trained in the Department of Ophthalmology of the People's Hospital of Peking University from January 2020 to December 2021 were divided into control group and experimental group, with 20 people in each group. The control group used the traditional teaching mode, and the experimental group used AI assistant system combined with CBL teaching. At the end of specialized training, the two groups were assessed for theoretical knowledge, clinical skills, clinical thinking and questionnaire survey, and the teaching effect was evaluated. SPSS 26.0 was used for Chi-square test, one-way ANOVA and independent-samples t-test. Results:The scores of theoretical knowledge [(34.10±1.33) points], clinical skills [(24.75±1.02) points] and clinical thinking [(24.80±0.77) points] in the experimental group were significantly higher than those in the control group [(33.15±1.35) points, t=2.24, P=0.031; (23.60±0.82) points, t=3.93, P<0.001; (24.20±0.83) points, t=2.37, P=0.023]. For the evaluation of teaching effect, the experimental group improved the learning interest ( t=11.47, P<0.001), clinical thinking ability ( t=9.36, P<0.001), knowledge and skill level ( t = 17.71, P < 0.001), knowledge sharing ( t=31.17, P< 0.001) and overall satisfaction ( t=10.60, P<0.001), and these 5 aspects were scored higher in experimental group compared with the control group. Conclusion:The teaching mode combining AI assistant system and CBL teaching can improve the independent diagnosis and treatment ability of ophthalmic residents for strabismus diseases, establish a correct clinical thinking path, and obtain a better teaching effect than the traditional teaching mode.
