Research on a New Paradigm of Virtual Simulation Training Teaching in Vocational Education Driven by Generative AI

DOI: https://doi.org/10.62517/jike.202604302

Author(s)

Dan Liu*, Yuan Xia, Wei Zheng

Affiliation(s)

School of Intelligent Manufacturing, Chongqing Industry and Trade Polytechnic, Chongqing, China *Corresponding author

Abstract

In the dual context of digital transformation in vocational education and the deep application of artificial intelligence technology, traditional virtual simulation training teaching generally faces practical challenges such as lagging content updates, limited resource adaptability, and inefficient evaluation feedback. This paper takes equipment manufacturing vocational education as the research object, explores the integration path of generative AI and virtual simulation training, builds a new "AI+virtual simulation" training teaching system, and designs an implementation plan covering intelligent platforms, blended teaching modes, and diversified evaluation feedback. The research shows that generative AI can achieve on-demand creation of training scenarios, personalized customization of learning paths, full-process tracking of teaching processes, and closed-loop optimization of teaching quality, effectively solving the long-standing "three highs and three difficulties" issues in vocational training, and enhancing the fit between practical teaching quality and talent cultivation.

Keywords

Generative AI; Virtual Simulation; Vocational Education; Practical Training Teaching

References

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