【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。更多还原

【Abstract】 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.更多还原