Practical Research on Teaching Reform of Comprehensive Experimental Course Driven by Interdisciplinary Integration and Artificial Intelligence

Journal: Region - Educational Research and Reviews DOI: 10.32629/rerr.v7i12.4999

Wei Guo, Renwei Jiang, Jian Li*, Ting Ye, Haozhi Guo

Longyan University

Abstract

At present, there are many problems in the experimental courses of colleges and universities, such as obvious subject barriers and single teaching methods, which are difficult to adapt to the practical needs of the cultivation of compound talents. This study takes the comprehensive experimental course as the starting point to explore the teaching reform path driven by interdisciplinary integration and artificial intelligence technology. By reconstructing the curriculum system, introducing AI-assisted teaching tools, and optimizing the experimental organization and management mode, a set of operable interdisciplinary comprehensive experimental teaching programs was constructed, and the effectiveness of the reform was systematically evaluated. The practical results show that the model effectively improves the students ' comprehensive experimental ability and interdisciplinary thinking level, and has certain reference value for the teaching reform of similar courses.

Keywords

interdisciplinary integration, artificial intelligence, teaching reform, compound talents training

Funding

Project source: Fujian Provincial Undergraduate University Education and Teaching Research Project Project name: Innovation in the Cultivation of Professional Degree Postgraduates for the Special Mechanical Equipment Field(FBJY20250206)

References

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Copyright © 2025 Wei Guo, Renwei Jiang, Jian Li*, Ting Ye, Haozhi Guo

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