Research on the Quality Evaluation and Optimization of Ideological and Political Education in Universities Driven by Artificial Intelligence

For a long time, how to track the teaching situation of ideological and political course teachers, accurately evaluate the degree of students' mastery and understanding of different knowledge points in the teaching process, and horizontally compare and evaluate the effectiveness of different teachers teaching the same course and knowledge point has been one of the key issues in ideological and political education work in universities. Currently, China has entered a digital society, and artificial intelligence has had a profound impact on the development of education work. Starting from the perspective of artificial intelligence technology, this article explores how ideological and political education in universities can improve and optimize existing quality evaluation methods, thereby improving the overall level of education work.