AI赋能工程热力学课程教学模式探索

Exploration of an AI-Empowered Teaching Model for Engineering Thermodynamics Courses

摘要: 在人工智能快速发展的背景下，AI技术正推动高等教育教学模式深度变革，为课程改革提供新的技术路径。工程热力学作为能源动力及相关工科专业的重要基础课程，理论抽象、知识体系复杂且工程应用要求高，传统教学中存在内容难以直观呈现、学习理解困难、评价机制单一及思政融入不足等问题。针对这些挑战，本文结合AI技术特点，从教学设计智能优化、精准学习支持、多元化评价体系构建及课程思政融合四个方面，探讨AI赋能工程热力学课程的实践路径与应用模式，为课程教学模式转型提供可操作的思路与方法。

Abstract: With the rapid development of artificial intelligence (AI), emerging AI technologies are reshaping higher education teaching models and providing new opportunities for curriculum reform. Engineering Thermodynamics, as a fundamental course for energy and power engineering and related disciplines, is characterized by abstract theories, complex knowledge structures, and strong engineering applicability. Traditional instruction faces challenges including difficulties in visualizing abstract concepts and thermodynamic processes, insufficient student understanding, limited assessment approaches, and inadequate integration of curriculum ideological and political education. To address these challenges, this paper explores the practical pathways and application models of AI-enabled Engineering Thermodynamics instruction from four perspectives: intelligent optimization of instructional design, personalized learning support, construction of diversified assessment systems, and integration of curriculum ideological and political education. This study provides actionable ideas and approaches for promoting the transformation of the Engineering Thermodynamics teaching model in the era of artificial intelligence.