Research on AI-Enabled Instructional Reform for General Valve Materials

As one of the core courses of the valve design and manufacturing major, General Valve Materials plays a crucial role in cultivating highly skilled talents for the valve industry. However, traditional teaching models face challenges such as significant disparities in student foundations, weaknesses in engineering practice components, and a lack of dynamic assessment mechanisms. The advancement of Artificial Intelligence (AI) technology offers new perspectives and methods to address the existing issues. Firstly, the course structure is redesigned and its content optimized by integrating AI-based on actual engineering projects. Secondly, teaching strategies are adjusted scientifically, driven by AI-powered learning analytics data. Concurrently, AI-generated adaptive learning pathways provide precise learning resources, enabling personalized instruction. Finally, AI-driven intelligent formative assessment facilitates dynamic competency evaluation and instructional feedback. The research findings indicate that the AI-enabled intelligent teaching approach for General Valve Materials provides an effective pathway for constructing an intelligent engineering education system. It holds significant practical value for cultivating high-quality skilled talent that meets the demands of modern industrial development.