Abstract:
Objective To explore the application value of a " Internet + " virtual simulation teaching model for diagnostics training under the background of epidemic prevention and control normalization.
Methods In Gansu University of Chinese Medicine, 88 students from grade 2019 were selected as the experimental group, while 90 students from grade 2018 were chosen as the control group. The control group employed an offline standard training instruction approach, while the experimental group used a combination of online and offline blended teaching method.
Results The daily and total scores of the experimental group (89.53±7.58, 78.72±9.01) were higher than those of the control group (75.25±7.83, 65.71±8.87), and the differences were statistically significant (t=-12.36, -9.71, all P<0.05). The final theoretical score (86.56±7.58) and practical skills score (83.79±7.77) of the experimental group were higher than those of the control group (73.33±8.95, 69.45±7.93), and the differences were statistically significant (t=-10.63, -12.18, all P<0.01). The results of questionnaire survey showed that the experimental group teaching model could effectively stimulate learning interest (89.77%), enrich teaching channels (93.18%), promote repeated practice ability (89.77%), improve comprehensive thinking ability and clinical thinking ability (95.45%) compared with the control group (72.22%, 83.33%, 70.00%, 73.33%) (χ2=8.86, 4.15, 10.78, 16.43, all P<0.05).
Conclusion The use of " Internet + " virtual simulation teaching in the context of epidemic prevention and control normalization can compensate for the limitations of software and hardware in medical information teaching, enrich the teaching material, enhance students′ practical ability, and is crucial for practical diagnostics.
Key words:
Teaching,
Virtual simulation,
Diagnostics
Lijuan Liang, Youjun Mi. The value of " Internet + " virtual simulation teaching in diagnostic practice teaching under the background of epidemic prevention and control normalization[J]. Chinese Journal of Diagnostics(Electronic Edition), 2022, 10(04): 280-283.