In the context of the new era,disciplines related to public safety are challenged by elevated demands for ideological and political education.Traditional methods of such education face limitations,especially in com-prehensively understanding students'ideological and political performance.This paper proposes optimization strategies for ideological and political education in public security disciplines,leveraging artificial intelligence and generative content(AIGC)technology.The strategies include the application of AIGC technology for personal-ized content customization,practical-oriented training,and automated timely feedback,aiming to establish a more scientific,effective,and practical ideological and political education framework.Moreover,emphasizing the practical demands of public security,deepening teacher training,and addressing privacy and ethical issues are crucial for optimizing ideological and political education.Implementing these strategies,AIGC technology holds the promise of pioneering innovative pathways for cultivating professionals in public safety.
关键词
公安类学科/课程思政/评价方法
Key words
public security disciplines/ideological and political in specialized courses/evaluation methods
维普
万方数据