Opportunities and Challenges of AI Empowerment in University Teaching

This article focuses on the empowerment of artificial intelligence in university teaching, providing an in-depth and systematic analysis of the tremendous potential of cutting-edge technologies such as generative language models, multimodal large models, and knowledge graphs in innovating teaching models and comprehensively enhancing students' abilities. The rapid development of AI technology has prompted a profound transformation in traditional educational models, gradually shifting from a single teacher-centered teaching model to a personalized, intelligent, and diverse interactive model. Innovative applications have been realized in key scenarios such as classroom teaching, practical training, and academic competitions, opening up new paths for the improvement of university education quality. At the same time, the article also points out that the journey of AI-empowered university teaching is not smooth, facing many complex and critical challenges in practical applications. The aim of this article is to provide a solid theoretical basis for the continuous innovation and development of university education in the AI era, vigorously promoting university education to a new stage of higher quality and more vitality, and cultivating more innovative, composite, and high-quality talents to meet the needs of the new era.