数值软件提升化工热力学教学成效的量化研究

Numerical Software-Driven Effectiveness in Chemical Engineering Thermodynamics Teaching:Quantitative Analysis

化工热力学为实际工艺设计和操作提供了学科基础。然而,热力学的复杂性使得学生难以掌握。近年来,随着数值软件等大数据科学的飞速发展,多学科间的交叉互融为热力学教学改革提供了新的机遇。为应对传统教学中存在的抽象理论与实际应用脱节、教学模式缺乏互动等关键问题的挑战,创新开展多学科交融,首次针对热力学各模块发展多种数值软件辅助工具,简化热力学复杂概念。同时,引入实际工程案例,以提供直观的可视化效果。量化分析表明,该教学成效与软件使用率和知识点难易度呈现多参数定量关联模型,多种数值软件的应用使热力学四大模块的教学成效分别提高了84.8%、50.6%、96.9%和75.9%。所提策略与模型将推动化工热力学教学的创新和实践,提升学生学习体验和能力。

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.