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The Theory and Practice of Innovation and Enntrepreneurship ›› 2026, Vol. 9 ›› Issue (3): 99-101.

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Exploration and Practice of the “Artificial Intelligence + X” Interdisciplinary Talent Training Model from the Perspective of Industry-Education Integration

YE Lubin, CHEN Yunzhi, CHEN Weidong   

  1. Hangzhou PolyTechnic University, Hangzhou Zhejiang, 310018, China
  • Published:2026-07-01

Abstract: Artificial intelligence has become an important engine for the growth of new industrial integration clusters, and the demand for AI applied talents in various industries is becoming increasingly urgent. However, at present, vocational colleges have problems such as weak teaching staff and lack of practical training in the AI enabled industry. This article focuses on the cultivation of“artificial intelligence + X”composite talents under the background of industry education integration, proposing optimization strategies such as building an interdisciplinary curriculum system, strengthening the construction of“external introduction and internal training”faculty team, creating an integrated practice base for“industry university research training and innovation”, and establishing a full cycle effect tracking and feedback mechanism. It is committed to breaking through disciplinary barriers, achieving seamless integration between technology chain and talent chain, cultivating composite talents with both artificial intelligence technology and multi field application capabilities for the industry, and promoting the coordinated innovation and development of vocational education and industry.

Key words: “Artificial intelligence + X”, Inter-disciplinary talent, Personnel training mode, Interdisciplinary curriculum system, Teaching reform, Industry-education integration

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