With the rapid development of artificial intelligence technology, the application of AI video analysis in the field of education has gradually become an important direction of teaching reform. This paper focuses on the reform of teaching quality in colleges and universities, and deeply explores the application and practice of AI video analysis in improving teaching quality. By introducing the technical foundation of AI video analysis and combining theoretical foundations such as the S-T Teaching Analysis Method, Bloom's Taxonomy of Educational Objectives, McCarthy's 4MAT Question Model, and the Learning Pyramid Model, this paper elaborates on the specific application practices of AI video analysis in teaching situation analysis, learning situation analysis, and classroom analysis. The research results show that AI video analysis technology can accurately quantify the teaching process, provide objective and fair evaluation, realize panoramic data collection and multi-dimensional display, thereby providing strong support for the adjustment of teaching strategies and the optimal allocation of teaching resources, and promoting the continuous improvement of teaching quality.