Analysis of teaching effectiveness of the combinations of artificial intelligence technology with PBL and CBL in radiotherapy target delineation of lung cancer
Objective:To explore the effectiveness of artificial intelligence technology combined with PBL and CBL teaching method in teaching radiotherapy target area outlining in lung cancer.Methods:Sixty undergraduates studying in the Department of Oncology of our hospital in recent years were selected.They were randomly divided into observation group and control group.The control group was taught using PBL and CBL teaching method.The observation group combined artificial intelligence technology with PBL and CBL teaching method.At the end of the internship,the theory test,the skill operation test and the teaching satisfaction questionnaire survey were conducted.Results:The average score of the theoretical test of the observation group was significantly higher than that of the control group,and the difference was statistically significant (P=0.026).The average score of the observation group in the skill operation test was significantly higher than the average score of the control group,and the difference was statistically significant (P<0.001).All the survey of the observation group on improving learning interest,strengthening theoretical knowledge,improving learning efficiency and improving target area delineation skills was significantly higher than that of the control group (P<0.05).Conclusion:Artificial intelligence technology combined with PBL and CBL teaching method in lung cancer radiotherapy target delineation teaching can significantly improve students'theoretical test scores and operational skills test scores,improve teaching satisfaction,and stimulate students'interest in learning.
维普
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