Jinmei Sun, Shikui Wu, Li Wang, Yi-lu Su, Xiaoming Zhang, Hui Chen, Ruiin Zhou, M. Zhang
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Teaching the Course of Petroleum Refinery Engineering Based on Goal Problem-Oriented Mode and Blended Learning Techniques
Aspen Plus and MindMaster are an effective tool for assisting students' understanding of complex and abstract refinery process characteristics. In this article, we present a case study with various types of questions to demonstrate how software can be used by teachers to teach practical problems of the petroleum refinery process and by students to summarize knowledge points and their relationships. The goal problem-oriented mode and mind maps are used in the Petroleum Refinery Engineering course, which redesigns teaching content and improves students' ability to think critically, analyze data, make difficult decisions, and solve complex engineering problems.