摘要
Against the background of the rapid iteration of AI technology and the deep integration of digital transformation of education,the application of large-scale intelligent agents has provided a new development paradigm for the teaching reform of courses in Chinese universities.This paper uses research methods such as literature review and logical analysis to explore the theoretical framework,application fields and implementation paths of AI-enabled optimization of teaching in sports industry management in Chinese universities.Based on the embedding of large-scale intelligent agents,a three-in-one teaching optimization framework of"technology embedding-application field-teaching reconstruction"is proposed,aiming to improve the personalization,precision and efficiency of teaching in sports industry management courses in Chinese universities through the deep integration of AI,and further provide theoretical support and practical paradigms for the cultivation of sports industry management talents in the new era of China.
基金
supported by the National Social Science Fund of China-"Research on the Intrinsic Mechanism and Implementation Path of High-Quality Development of Sports Tourism in my country"(24BTY068)。
