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Research on the Construction of Teaching Content Design Framework for University Industry-Education Integration Courses Based on AI Technology

Chenlin Gu

Abstract


Driven by the dual dynamics of the digital economy and the digital transformation of higher education, the disconnection between
the teaching content system of industry-education integration courses and industrial demands has become increasingly prominent. The rapid
development of artificial intelligence technology provides a new approach to solve this dilemma. Based on the practical needs of curriculum
reform for industry-education integration in universities, this paper systematically analyzes the limitations of the traditional teaching content
design framework, and proposes a dynamically intelligent teaching content design framework driven by AI technology. Through multi-source
data collection, intelligent analysis and dynamic matching, the framework realizes real-time alignment between teaching content, industrial
development and technological frontiers. This research provides theoretical reference and practical paths for universities to deepen industryeducation integration and promote the intelligent reconstruction of curriculum systems.

Keywords


Artificial Intelligence; Industry-Education Integration; Curriculum Design; Teaching Content System; Framework Construction

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References


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DOI: http://dx.doi.org/10.70711/neet.v4i7.9774

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