Application of a four-in-one blended innovative teaching model in clinical teaching of spinal tumors
10.3760/cma.j.cn116021-20240923-02027
- VernacularTitle:四位一体混合式创新教学模式在脊柱肿瘤临床教学中的应用
- Author:
Hanqiang OUYANG
1
;
Hongbin WU
;
Feifei ZHOU
;
Feng WEI
;
Hua TIAN
;
Ning LANG
;
Weishi LI
Author Information
1. 北京大学第三医院骨科，北京 100191
- Publication Type:Journal Article
- Keywords:
Spinal tumor;
Blended teaching;
Artificial intelligence;
Virtual reality;
3D printing
- From:
Chinese Journal of Medical Education Research
2025;24(9):1236-1241
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the application effects of a four-in-one blended teaching model integrating artificial intelligence, virtual reality, 3D printing, and case-based learning (CBL) in the clinical teaching of spinal tumors.Methods:We divided 89 students on training in the Department of Orthopedics of Peking University Third Hospital from September 2022 to August 2024 into control group ( n=47) and experimental group ( n=42). The control group adopted traditional teaching, and the experimental group adopted the four-in-one teaching model. At the end of clinical teaching, an artificial intelligence test and a questionnaire survey were administered to the students to evaluate the teaching effects. The two groups were compared using the independent samples t-test with the use of SPSS 27.0. Results:The experimental group was superior to the control group with significant improvements in the answer accuracy rate (66.67%, χ2=9.44, P=0.002), learning interest [(4.50±0.63), t=2.75, P=0.007], theoretical knowledge mastery [(4.64±0.69), t=7.74, P<0.001], clinical thinking [(4.48±0.71), t=9.08, P<0.001], practical skills [(4.13±0.89), t=2.69, P=0.009], scientific research innovation [(4.71±0.59), t=9.28, P<0.001], teacher-student interaction [(4.74±0.54), t=12.76, P<0.001], and classroom attention [(4.69±0.52), t=12.64, P<0.001]. At the same time, the students in the experimental group put forward numerous constructive feedback. Conclusions:The four-in-one blended teaching model combining artificial intelligence, virtual reality, 3D printing, and CBL can help undergraduate medical students better recognize and diagnose spinal tumors with a correct clinical thinking path, achieving good teaching effects.
