Logical composition and development path of college teachers’ composite competencies from the perspective of human-machine collaboration
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College of Educational Science, Yangzhou University, Yangzhou 225002, P.R.China

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G451

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    Abstract:

    With the deepening of education digitalization, human–AI collaboration has become a major force driving transformation in higher education and reshaping the competence structure of university teachers. This paper explores the development of teachers’ composite competencies from the perspectives of formative foundations, structural logic, and practical pathways. At the level of formative foundation, it reviews the historical evolution of technology-enhanced education, the strategic push of higher education modernization, and the mechanisms of teacher professional development to clarify the historical drivers for the formation of university teachers’ composite competencies. At the level of structural logic, it analyzes the reconfiguration of teachers’ competency structures in light of practical, internal, and developmental logics, proposes a three-dimensional framework of cognition, practice, and ethics, and expounds the paradigm shift of higher education from technology-centered to technology-for-people. At the level of practical pathways, it puts forward strategies such as tiered training, platform building, and institutional improvement to enhance teachers’ composite competencies.

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刘盛,卢挪.人机协同视域下高校教师复合能力的构成逻辑与发展路径[J].高等建筑教育,2026,35(2):1~8

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  • Received:
  • Revised:June 16,2025
  • Adopted:
  • Online: April 20,2026
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