摘要
工程实践在高等教育中的重要性日益凸显。中国需要加快培养世界级的优秀工程师。在人工智能时代,高校迫切需要加快工程教育数字化改革。文章针对学生实习难、实践资源不足、指导教师水平参差不齐的问题,提出将虚拟仿真技术和智能教学系统相结合,用于控制工程实践教学中,通过人工智能技术和基于因果知识的推理诊断,实现对学生工程实践的个性化指导,使学生理解和掌握控制工程系统及其操作方法,培养掌握先进工程技术且具有创新思维的智能制造人才。
The importance of engineering practice in higher education is increasingly prominent.It is necessary to accelerate the cultivation of world-class excellent engineers for China.There is an urgent necessity to accelerate the digital reform of engineering education.Aiming at the problems of difficulties in internship,insufficient practical resources,and uneven levels of practical instructors,this paper proposes to combine virtual simulation technologies and intelligence teaching systems and use them in the practical teaching of control engineering.By using artificial intelligent technologies,through diagnostic reasoning based on causal knowledge,personalized guidance for engineering practice has been realized,so that students will understand and master control engineering system and its operating methods,and intelligent manufacturing talents who master advanced engineering technology and possess innovative thinkingwill becultivated.
作者
李大字
许家辉
高东
苑杨
吴重光
LI Dazi;XU Jiahui;GAO Dong;YUAN Yang;WU Chongguang(College of Information Science and Technology,Beijing University of Chemical Technology,Beijing100029,China)
出处
《化工高等教育》
2025年第1期114-120,共7页
Higher Education in Chemical Engineering
基金
北京化工大学2024年教育教学改革研究首批委托立项项目(11140016110)
中国电子教育学会教育教学改革研究重点项目(DJ23002)。
关键词
虚拟仿真
人工智能
因果推理
实践教学
Virtual simulation
Artificial intelligence
Causal reasoning
Practical teaching
