AI赋能过程流体机械智慧课程建设探索

AI-Powered Intelligent Curriculum Development for Process Fluid Machinery: A Practical Exploration

摘要: 在全面推进高等教育数字化的背景下，AI赋能智慧课程建设意义重大。本文以我校过程流体机械课程为例，探索AI与课程的深度融合，以提升教学质量。文章从教学前的AI赋能建设规划、教学中的实施与实践、教学后的效果评估与反思三方面入手，剖析AI与过程流体机械课程的融合路径。探索发现，基于AI的教学内容优化、教学资源数字化、知识图谱建设、AI融合下的多元教学活动和教学评估是实现AI与课程融合的良好途径。该研究旨在为AI赋能专业课程的建设提供借鉴。

Abstract: Against the backdrop of comprehensively advancing the digitalization of higher education, the empowerment of AI in the development of smart courses is of great significance. Taking the “Process Fluid Machinery” course in our university as an example, this paper explores the integration of AI with the course to improve teaching quality. The paper analyzes the integration paths of AI and the “Process Fluid Machinery” course from three aspects: AI-empowered construction planning before teaching, implementation and practice during teaching, and effect evaluation and reflection after teaching. The exploration reveals that the ways to realize the integration of AI and the course include AI-based optimization of teaching content, digitalization of teaching resources, construction of knowledge graphs, diversified teaching activities under AI integration, and AI-assisted teaching evaluation. This study aims to provide practical references for the development of AI-empowered specialized courses.