A Study on the Path of Artificial Intelligence Enabling Ideological and Political Education for Medical Students

This research mainly explores the path of artificial intelligence empowering ideological and political education for medical students by using the method of structural equation model. In the research, 3 latent variables including characteristics of medical students, application of Artificial Intelligence by Medical Students, and the effectiveness of ideological and political education for medical students, as well as 13 observed variables are set. Data is collected through a questionnaire survey of 289 students from the School of Medicine at the University of Electronic Science and Technology of China. After reliability, validity, confirmatory factor analysis and model testing and modification, the results show that characteristics of medical students have a significant positive impact on application of Artificial Intelligence by Medical Students and the effectiveness of ideological and political education, and application of Artificial Intelligence by Medical Students also has a positive effect on the effectiveness of ideological and political education. Finally, suggestions such as strengthening the cultivation of the characteristics of medical students, enhancing the application ability of artificial intelligence, and optimizing the content and methods of ideological and political education are put forward, emphasizing the establishment of an online and offline all-round education thinking and integrating ideological and political education throughout the whole process of medical education.