This paper focuses on the cultivation of talents in artificial intelligence (AI) technology applications in higher vocational education. It analyzes the existing issues in the context of industry-education integration, constructs a talent cultivation system that seamlessly connects “science, education, and industry,” elaborates on its implementation pathways and effectiveness, and proposes innovative strategies and outlooks. The aim is to provide a comprehensive and in-depth theoretical and practical reference for the cultivation of AI talents in higher vocational education, promoting innovation in talent cultivation models and synergistic progress with industrial development.

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Collaborative Innovation of “Science, Education and Industry”: New Paths and Strategy Optimization for the Cultivation of Applied Talents in Higher Vocational Artificial Intelligence Technology

  • Shuchang Chen,
  • Hui Zhang,
  • Dongbing Li

摘要

This paper focuses on the cultivation of talents in artificial intelligence (AI) technology applications in higher vocational education. It analyzes the existing issues in the context of industry-education integration, constructs a talent cultivation system that seamlessly connects “science, education, and industry,” elaborates on its implementation pathways and effectiveness, and proposes innovative strategies and outlooks. The aim is to provide a comprehensive and in-depth theoretical and practical reference for the cultivation of AI talents in higher vocational education, promoting innovation in talent cultivation models and synergistic progress with industrial development.