Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition) ›› 2026, Vol. 62 ›› Issue (6): 68-76.doi: 10.16088/j.issn.1001-6597.2026.06.007

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Key Challenges and Future Directions of the Integrated Development of Education, Science and Technology, and Talent Empowered by Artificial Intelligence

WAN Xiao-peng, ZHANG Ling   

  1. School of Marxism, Northwestern Polytechnical University, Xi’an 710129, China
  • Received:2026-02-02 Online:2026-11-05 Published:2026-11-10

Abstract: The integrated development of education, science and technology, and talent is a core strategic support for accelerating China’s high-level independent innovation in science and technology and leading the iterative upgrade of new quality productive forces during the “15th Five-Year Plan” period. The core essence of artificial intelligence empowering such an integrated development lies in shaping a new development ecosystem featuring efficient multi-element allocation, building a collaborative governance community, and systematically reconstructing the education model. However, in this process, multiple key challenges still exist, such as uneven resource distribution, cognitive alienation tendencies, and insufficient coordination of mechanisms and systems. This paper points out the future innovation directions from three dimensions: technology, environment, and mechanism. Specifically, it suggests building a data sharing platform, clarifying the boundaries of human-machine collaboration, and innovating collaborative governance mechanisms to effectively stimulate the overall linkage efficiency of the education, science and technology, and talent systems, thereby providing support for achieving high-quality integrated development.

Key words: integrated development of education, science and technology, and talent, artificial intelligence, new quality productive forces, human-machine collaboration

CLC Number:  G521
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