创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (24): 59-62.

• 教学革新 • 上一篇    下一篇

数智教育视域下人机协同教学改革研究

马豫婷, 栾东庆   

  1. 上海商学院 教务处,上海 201400
  • 出版日期:2025-12-25 发布日期:2026-05-14
  • 通讯作者: 栾东庆(1979—),男,山东临沂人,博士研究生,教授,研究方向:高等教育管理、服务管理,电子邮箱:shluan@163.com。
  • 作者简介:马豫婷(1989—),女,浙江金华人,硕士研究生,助理研究员,研究方向:高等教育管理。
  • 基金资助:
    教育部产学合作协同育人项目“应用型商科人才实践能力培养模式改革” (250306627243750); 混合式教学创新者联盟教改项目第一批全国高校智慧课程教学改革研究项目“AI赋能的服务营销智慧课程体系构建与教学模式创新研究”(BLDXZHKCYJ022); 上海商学院教育教学改革研究项目“全过程视角下的应用型本科高校教学建设项目管理体系优化研究”(SBS-2025-XJJG-80)

Research on Human-Machine Collaborative Teaching Reform from the Perspective of Digital and Intelligent Education

MA Yuting, LUAN Dongqing   

  1. Dean’s Office, Shanghai Business School, Shanghai, 201400, China
  • Online:2025-12-25 Published:2026-05-14

摘要: 在数智教育快速发展的背景下,人机协同教学已成为推动教育模式系统性变革的关键课题。该文系统探讨了数智教育背景下人机协同教学的理论演进与实践创新,通过文献分析与案例研究,揭示了人机协同从“工具辅助”到“认知共生”的三阶段发展路径,阐释了其在重构教学主体、创新教学模式和改革评价体系方面的多维协同机制;归纳出智能技术驱动、虚实场景融合等5条实践路径,并针对理论体系不完善、监管机制缺失等关键问题,提出了分层构建理论框架、健全智能监管体系等改进方法。

关键词: 数智教育, 人工智能, 人机协同, 教育生态, 教学改革, 智慧学习

Abstract: Against the backdrop of the rapid development of digital-intelligent education, human-AI collaborative teaching has become a key topic in advancing the systemic transformation of educational models. This study systematically explores the theoretical evolution and practical innovations of human-AI collaborative teaching in the context of digital-intelligent education. Through literature analysis and case studies, it reveals the three-stage development path of human-AI collaboration from“tool assistance”to“cognitive symbiosis”and expounds on its multidimensional collaborative mechanisms in reconstructing teaching subjects, innovating teaching models, and reforming evaluation systems. It also summarizes five practical pathways, including intelligent technology-driven initiatives and the integration of virtual and physical scenarios. In view of key problems such as the incomplete theoretical system and the lack of regulatory mechanisms, the study puts forward improvement measures such as constructing a hierarchical theoretical framework and improving the intelligent regulatory system. This research offers important references for the theoretical development and ecological construction of human-AI collaborative education.

Key words: Digital-intelligent education, Artificial intelligence, Human-machine collaboration, Educational ecology, Teaching reform, Smart learning

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