Exploration on the Transformation Practice of Intelligent Teaching in College Table Tennis Based on Artificial Intelligence

Against the backdrop pf the continuous deepening and implementation of the education digitalization strategy, artificial intelligence (AI) technology provides important technical support for the modernization transformation of college table tennis teaching, and promotes the upgrading of the traditional experience-dominated teaching model to an intelligent teaching form characterized by precision, personalized, and scientization. From the perspective of the practical needs and development goals of college table tennis teaching and combined with the functional characteristics and application scenarios of AI technology, this paper systematically expounds the application value and implementation conditions of AI in college table tennis teaching, analyzes the key links and implementation paths in the teaching transformation process, and constructs an intelligent teaching framework from the aspects of teaching model reconstruction, teaching content optimization, and teaching staff improvement to provide feasible solutions for improving the quality and efficiency of college table tennis teaching. It aims to promote the digital transformation process of physical education in colleges and universities and cultivate contemporary college students with both lifelong physical education awareness and digital literacy.