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
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扬州大学教育学院

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G642.0????

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2025年江苏省高等教育教改研究课题(2025JGYB804)


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

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2025 Jiangsu Provincial Higher Education Teaching Reform Research Project (2025JGYB804)

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    摘要:

    教育数字化深入推进,人机协同成为高等教育转型的关键驱动力,深刻重塑高校教师的能力结构。本文从基础根源、内在逻辑与实践路径三个层面探讨高校教师复合能力的发展。基础层面回顾技术赋能教育的演变、高等教育现代化战略及教师专业成长机制,厘清能力变革的历史根基;逻辑层面构建“认知——实践——伦理”三维框架,揭示教师角色转型与“技术为人”的价值导向;路径层面提出分层分类培训体系、资源整合平台机制与激励评价制度的优化策略,以推动教师复合能力的提升。研究旨在为高校教师应对数字化教育挑战提供理论依据与实践路径,助力高等教育高质量发展。

    Abstract:

    With the deep advancement of educational digitization, human-machine collaboration has become a key driving force for the transformation of higher education, profoundly reshaping the competency structure of college teachers. This paper explores the development of college teachers"" composite competencies from three dimensions: foundational roots, internal logic, and practical paths. At the foundational level, it reviews the evolution of technology-empowered education, the strategy of higher education modernization, and the mechanism of teacher professional growth to clarify the historical foundation of competency transformation. At the logical level, it constructs a three-dimensional framework of "cognition-practice-ethics" to reveal the transformation of teachers"" roles and the value orientation of "technology serving humanity." At the practical path level, it proposes optimization strategies for stratified and classified training systems, resource integration platform mechanisms, and incentive evaluation systems to promote the improvement of teachers"" composite competencies. The study aims to provide a theoretical basis and practical paths for college teachers to address the challenges of digital education and facilitate the high-quality development of higher education.

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  • 收稿日期:2025-06-24
  • 最后修改日期:2025-09-17
  • 录用日期:2025-11-07
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