Research on the Intelligent Reconstruction Path of the Practical Teaching Module of “Double Innovation” Education in Universities from the Perspective of AI Empowerment—Taking the Basic Course of Innovation and Entrepreneurship for College Students as an Example

Abstract

Abstract: This article takes the innovation and entrepreneurship foundation course for college students at Mianyang City College as an example to explore the intelligent reconstruction and innovation path of AI technology empowering the practical teaching module of innovation and entrepreneurship education in universities. By introducing intelligent teaching platforms, personalized learning systems, and intelligent evaluation systems, has achieved optimized allocation of teaching resources, precise management of learning processes, and scientific evaluation of teaching effectiveness. The research results indicate that the application of AI technology significantly enhances students'learning interest and innovation and entrepreneurship abilities, while reducing the teaching burden on teachers, providing a scalable model and experience for the reform and innovation of entrepreneurship education in universities.

Key words: AI empowerment, “Double innovation”education, Practical teaching, Intelligent reconstruction, Innovation path, Personalized learning, Knowledge graph

CLC Number:

G647.38

YU Tao, LIU Wei, YU Baiyang. Research on the Intelligent Reconstruction Path of the Practical Teaching Module of “Double Innovation” Education in Universities from the Perspective of AI Empowerment—Taking the Basic Course of Innovation and Entrepreneurship for College Students as an Example[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(9): 175-178.

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