The in-depth advancement of educational digitization has effectively driven systemic changes in classroom teaching models in higher education institutions, prompting a gradual transformation of traditional classrooms towards deep integration with artificial intelligence (AI) in terms of teaching philosophy, mode, and content. The application of AI technology in teaching not only enriches the supply of teaching resources, optimizes the classroom teaching environment, and enhances teaching efficiency, but also effectively reduces the repetitive workload of teachers. It addresses prominent issues in traditional teaching, such as rigid teaching models, low teaching efficiency, and single evaluation methods, promoting a transformation towards personalized, intelligent, and precise teaching models. However, the current application and development of AI technology in higher education teaching practices remain imperfect, facing numerous practical challenges during implementation. Based on this, this paper systematically analyzes the application value of AI technology in classroom teaching in higher education and explores effective application paths, aiming to provide theoretical support and practical references for the high-quality development of classroom teaching in higher education in the new era.