Abstract: The ideological and political construction of college courses faces practical dilemmas such as homogenization of content supply, insufficient accuracy in matching students'academic situation and backward evaluation system. AI technology provides a new way to solve these problems. This paper focuses on the in-depth application of AI in the practice and evaluation of ideological and political education in courses, with“technology empowerment, scenario implementation, and closed-loop evaluation”as the logical main line. It systematically analyzes the application mechanisms of technologies such as natural language processing, machine learning, and big data analysis in the intelligent mining of ideological and political elements, personalized teaching push, and dynamic process evaluation. By constructing a dual-drive practical framework of“AI + ideological and political education in courses”, the paper proposes an AI-based method for constructing the map of ideological and political elements, a strategy for generating personalized learning paths, and a multi-dimensional evaluation index system. The purpose is to provide operable practical schemes for colleges and universities to improve the pertinence and effectiveness of the ideological and political construction of courses, which has crucial practical significance and application value for promoting the high-quality development of ideological and political education in courses.

Key words: AI technology, College curriculum ideological and political education, Dual drive, Practical framework, Evaluation system, Precision teaching