创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (5): 112-114.

• 模式探索 • 上一篇    下一篇

基于AI驱动的高职实训教学改革探索——以虚拟交互设计课程为例

郑冰倩1, 吴进高2   

  1. 1.浙江安防职业技术学院,浙江温州 325000;
    2.浙江省教育技术中心,浙江杭州 310000
  • 出版日期:2026-03-10 发布日期:2026-07-01
  • 作者简介:郑冰倩(1995—),女,浙江温州人,硕士研究生,讲师,研究方向:虚拟现实技术。
  • 基金资助:
    浙江安防职业技术学院2024年度校级教学改革研究项目“基于AI驱动的高职实训教学改革探索——以虚拟交互设计课程为例”(JG202425); 浙江省教育科学规划2024年度一般规划课题“智能技术在教育治理中的应用研究”(2024SC335)

Exploration of AI Driven Reform in Vocational Training Teaching—Taking Virtual Interaction Design Course as an Example

ZHENG Bingqian1, WU Jingao2   

  1. 1. Zhejiang College of Security Technology, Wenzhou Zhejiang, 325000, China;
    2. Education Technology Center of Zhejiang Province, Hangzhou Zhejiang, 310000, China
  • Online:2026-03-10 Published:2026-07-01

摘要: 人工智能(AI)的快速发展正推动教育体系从经验化走向智能化、数据化与精准化。作为教育数字化转型的关键驱动力,AI不仅改变了教学工具与资源形态,更深刻影响了学习机制与教学模式的重构。该文指出:AI驱动的高职实训教学改革应实现从知识传递到认知建构、从教学控制到学习调节、从经验判断到数据决策的系统转型,为高职教育的智能化发展与学习科学的实践转化提供理论支撑与路径启示。

关键词: 人工智能, 职业教育, 学习科学, 教育技术, 教学模式创新, 自适应学习, 学习分析

Abstract: The rapid development of artificial intelligence (AI) is driving the education system from experiential to intelligent, data-driven, and precise. As a key driving force for the digital transformation of education, AI has not only changed the form of teaching tools and resources, but also profoundly influenced the reconstruction of learning mechanisms and teaching models. Research suggests that AI driven reform of vocational training teaching should achieve a systematic transformation from knowledge transmission to cognitive construction, from teaching control to learning regulation, and from experience judgment to data decision-making, providing theoretical support and path inspiration for the intelligent development of vocational education and the practical transformation of learning science.

Key words: Artificial intelligence, Vocational education, Studying science, Educational technology, Innovation in teaching mode, Adaptive learning, Learning analysis

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