化工背景自动化专业实践类课程智能化教学方法研究与实践  

Research and Practice on Intelligent Teaching Method for Practical Courses in Chemical Engineering Automation

作　　者：高东[1] 吴重光[1] 李大字[1] 马昕[1] Gao Dong;Wu Chongguang;Li Dazi;Ma Xin

机构地区：[1]北京化工大学信息科学与技术学院

出　　处：《高等工程教育研究》2024年第2期97-103,共7页Research in Higher Education of Engineering

基　　金：中国电子教育学会教育教学改革研究项目重点项目(DJ23002);北京化工大学本科教改项目(2020BHXGKJ07);北京化工大学信息科学与技术学院“数字化教育教学改革项目”(XXJG2023004);教育部产学合作协同育人项目(220406517275813)。

摘　　要：实现自主学习、高质量学习、教育公平是中国教育教学数字化转型的重要目标。然而受限于教学方法、智能教学环境限制,距离教学智能化依然有较大差距。为解决上述问题,针对化工背景自动化专业实践类课程的特点,提出了基于探究式学习与知识剧情的教学方法,设计开发了智能化教学系统。引导学生主动思考、解决问题,充分调动学生的学习积极性、主动性,并对学习过程全流程自动分析、精准辅导以及评分。基于“化工过程与控制仿真实习”课程进行了实践,为实现自主学习、主动学习,提升教学学习质量,实现教育公平提供了很好的解决思路。The realization of autonomous learning,high-quality learning,and educational equity are the important goals of China's digital transformation of education and teaching.However,due to limitations in teaching methods and intelligent teaching environments,there is still a wide gap from intelligent teaching.In order to solve above problems,a teaching method based on exploratory learning and knowledge scenario was proposed for practical courses in the field of chemical engineering automation.An intelligent teaching system was designed and developed.The system can guide students to actively think and solve problems,fully mobilize their learning enthusiasm and initiative,and automatically analyze,provide precise guidance,and grade the entire learning process.The method and the system were used in the course"chemical process and control simulation practice"for case study.It is proved that the system can provide a good solution for achieving autonomous learning,active learning,improving teaching and learning quality,and achieving educational equity.

关 键 词：教育数字化 教学智能化 自动化 探究式学习 人工智能 知识剧情 

分 类 号：G642[文化科学—高等教育学] TP20-4[文化科学—教育学]