Teaching Design of Thermodynamics and Fluid Mechanics Empowered by Digital Intelligence: A Case Study of Bernoulli’s Equation

Abstract

Bernoulli’s equation is a fundamental principle in Thermodynamics and Fluid Mechanics, which has been extensively applied in engineering scenarios. However, traditional teaching approaches are often encountered with challenges that restrict students’ deep conceptual understanding and practical application capabilities. To address these issues, this study proposes a digital intelligence empowered teaching model that integrates artificial intelligence technologies throughout the entire instructional process. A four-dimensional framework named “theoretical foundation, AI empowerment, ideological guidance, and advanced extension” is developed to enhance the visualization, interaction, and adaptability of teaching. AI-driven simulation platforms, intelligent tutoring systems, and learning analytics are incorporated to facilitate personalized learning and provide real-time feedback. Furthermore, engineering scenarios are embedded to effectively bridge the gap between theoretical knowledge and practical application. The results of teaching practice demonstrate that the proposed model significantly improves students’ engagement, conceptual understanding, and engineering application abilities, which also promotes higher-order thinking and innovation capacity.