Exploration of the Teaching Construction of the Integration of Industry and Education under Industrial Economics Enabled by Artificial Intelligence

Abstract

Abstract: The rapid development of AI (artificial intelligence) has put forward new requirements for education and teaching, and the high-quality economic development has put forward new requirements for cultivating high-level compound talents through the integration of production and education. This paper analyzes the current situation and existing problems of traditional industrial economics course teaching, and puts forward specific paths to achieve high-quality production-teaching integration under AI empowerment, including optimizing course teaching objectives, restructuring course knowledge system, innovating teaching models and methods, optimizing school-enterprise collaboration mechanism, strengthening AI scenario teaching empowerment, and improving course evaluation system. In order to cultivate compound economic talents with innovation and entrepreneurship practice ability.

Key words: Industrial economics, AI empowerment, Integration of production and education, Courses, Teaching, Construction path

CLC Number:

GUO Zhengquan, TAO Xiaobo. Exploration of the Teaching Construction of the Integration of Industry and Education under Industrial Economics Enabled by Artificial Intelligence[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2025, 8(8): 153-155.

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