摘要
如何培养自动化专业学生具备解决本领域复杂工程问题的能力,已成为提高自动化专业人才教育质量的关键。基于生成式人工智能(AIGC)技术,教学团队从控制理论课程群构建、教学内容整合与优化、复杂工程问题项目库建立、教学模式创新、综合能力评价改革等方面进行改革、建设与探索。经过7轮次的持续改进,能够有效提升自动化专业学生解决复杂工程问题的综合能力,且对相关专业教学改革建设具有良好的示范带动作用。
How to cultivate the ability of students of the automation majors to solve complex engineering problems in the field has become a key factor in improving the quality of education for automation professionals.Based on the artificial intelligence generated content(AIGC),all-round reform,the teaching team has carried out construction and exploration in various aspects,such as the construction of the control theory courses group,the integration and optimization of teaching content,the establishment of a project database for complex engineering problems,the innovation of teaching models,and the reform of comprehensive ability assessment.After seven rounds of continuous improvement,it can effectively enhance students'comprehensive abilities to solve complex engineering problems,and provide reference and guidance for the reform and construction of related professional teaching.
作者
张婧
盖文东
钟麦英
贺凯迅
ZHANG Jing;GAI Wendong;ZHONG Maiying;HE Kaixun(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China)
出处
《电气电子教学学报》
2026年第1期96-101,共6页
Journal of Electrical and Electronic Education
基金
教育部高等学校自动化类专业教学指导委员会教改研究课题(220307)
教育部高等学校自动化类专业教学指导委员会教改研究课题(2024035)
山东科技大学校级优秀教学团队培育计划项目资助(TD20221101)。
关键词
控制理论课程群
生成式人工智能
复杂工程问题
教学改革
control theory course group
generative artificial intelligence
complex engineering problems
education reform
