- Conference Article
1
- 10.1109/bdicn58493.2023.00047
Research on risk evaluation method of dynamic training of ideological and political education based on machine learning
- Jan 01, 2023
- Guangguang Wang
In order to solve the existing problems such as the gap in education level, the lack of personalized services, and the blocked educational resources, AI technology can provide the following auxiliary work: the intelligent counselor management system can improve the scientific management level, in-depth study and improve the quality evaluation of ideological and political education in colleges and universities, and the introduction of intelligent tutors to achieve intelligent attendance, Big data promotes the realization of ideological and political personalized education and the ‘‘employment’’ of intelligent robots to innovate human-computer cooperation. The scientific education management and creative teaching mode brought by artificial intelligence provides a powerful condition for the realization of ideological and political personalized education in colleges and universities. However, we should also be alert to the moral, ideological and privacy problems caused by excessive reliance on AI, and face up to the limitations of the special requirements of ideological and political education in colleges and universities on the role of AI, as well as the great room for human educators to learn and improve. Only by correctly understanding the advantages and disadvantages of artificial intelligence on ideological and political education in colleges and universities can we ensure that the innovative role of artificial intelligence in ideological and political education in colleges and universities can be maximized. Therefore, we should optimize the institutional environment for the application of AI in ideological and political education in colleges and universities from the legislative and regulatory levels.
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