主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2025, Vol. 50 ›› Issue (17): 135-140.DOI: 10.16638/j.cnki.1671-7988.2025.017.026

• 汽车教育 • 上一篇    

人工智能赋能工程教育课程重构与教学转变

冯锦平 1，张爱春 2,3*   

  1. 1.湖北科技学院 自动化学院；2.湖北科技学院 教育学院； 3.广州大学 教育学院
  • 发布日期:2025-09-03
  • 通讯作者: 张爱春
  • 作者简介:冯锦平（1983－），男，博士，高级工程师，研究方向为工程教育、齿轮传动动力学等 通信作者：张爱春（1986－），女，博士研究生，讲师，研究方向为教师专业发展、课程与教学等
  • 基金资助:
    湖北科技学院教研项目（2022-XB-016）；湖北科技学院校内科研发展基金（2024-25X17；BK202019）

Artificial Intelligence Empowers Reflections on Curriculum Restructuring and Teaching Transformation

FENG Jinping1 , ZHANG Aichun2,3*   

  1. 1.College of Automation, Hubei University of Science and Technology; 2.College of Education, Hubei University of Science and Technology; 3.School of Education, Guangzhou University
  • Published:2025-09-03
  • Contact: ZHANG Aichun

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摘要： 随着人工智能（AI）日益深入地参与并改造世界，劳动者的社会分工格局将逐渐被改 变。这一趋势对工程人才的知识、能力和素质提出新要求，催动课程体系和教学模式的变革。 培养目标应聚焦在创新能力和素质塑造两方面，以满足 AI 时代的社会需求。课程体系的重构 要统整多学科交叉领域知识，提高学生创新能力，培养学生运用和开发 AI 的技能，加强 AI 工程伦理教育。教学模式的转变要充分应用 AI 以及其他新技术，发挥逆向项目式教学的优势， 为工科学生提供个性化、定制化的培养模式，构建灵活的学习、实践场景。文章为 AI 时代培 养以服务人类为宗旨的具有创新能力的工程师提供参考。

关键词: 高等工程教育；人工智能；培养目标；课程体系；教学模式

Abstract: As artificial intelligence (AI) becomes increasingly deeply involved in and transforming the world, the pattern of social division of labor among workers will gradually be changed. This trend puts forward new requirements for the knowledge, ability and quality of engineering talents, and urges the reform of curriculum system and teaching mode. The training objectives should focus on cultivating innovative capabilities and quality development to meet societal needs in the AI era. The restructuring of curricula must integrate interdisciplinary knowledge to enhance students' innovation capacity, foster their skills in applying and developing AI technologies, and strengthen education in AI and engineering ethics. The transformation of teaching methodologies should leverage AI and other emerging technologies, capitalize on the advantages of reverse project-based learning, provide personalized and customized training models for engineering students, and create flexible learning and practical scenarios. This paper offers insights for cultivating innovative engineers in the AI era who are committed to serving humanity.

Key words: higher engineering education; artificial intelligence; training goal; curriculum system; instructional mode