Abstract Chemical engineering thermodynamics forms the backbone of practical process design and operations,yet its intricacy poses challenges for students.Recent strides in numerical software and big data have unlocked interdisciplinary possibilities in thermodynamics education.To address the key challenges of the disconnect between abstract theory and practical applications inherent in traditional teaching methods,as well as the deficiency in interactive and experiential learning,for the first time,this paper delves into multidisciplinary integration by introducing specialized numerical software tools for different thermodynamics modules,making complex concepts more accessible for students.Moreover,practical engineering cases are incorporated to offer vivid visualizations.The quantitative analysis unveils a multi-parameter correlation model linking teaching effectiveness,software usage,and knowledge complexity.Implementing various numerical software significantly boosts the teaching efficacy of four major thermodynamics modules by 84.8%,50.6%,96.9%,and 75.9% respectively.These strategies aim to foster innovation and hands-on learning experiences within chemical thermodynamics education,ultimately enhancing students’ capabilities and learning journey.
LIU Quan, YANG Zhong-Lian, SHENG Zong-Qiang. Numerical Software-Driven Effectiveness in Chemical Engineering Thermodynamics Teaching:Quantitative Analysis[J]. Chinese Journal of Chemical Education, 2024, 45(22): 84-90.
