Ouyang Hanqiang, Wu Hongbin, Zhou Feifei, et al. Application of a four-in-one blended innovative teaching model in clinical teaching of spinal tumors[J]. Chinese journal of medical education research, 2025, 24(9): 1236-1241.
Ouyang Hanqiang, Wu Hongbin, Zhou Feifei, et al. Application of a four-in-one blended innovative teaching model in clinical teaching of spinal tumors[J]. Chinese journal of medical education research, 2025, 24(9): 1236-1241. DOI: 10.3760/cma.j.cn116021-20240923-02027.
Application of a four-in-one blended innovative teaching model in clinical teaching of spinal tumors
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
2
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
2
The experimental group was superior to the control group with significant improvements in the answer accuracy rate (66.67%
χ
2
=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
2
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.
关键词
Keywords
references
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