Construction and Evaluation of Experimental and Practical Teaching Cases Based on the Knowledge Graph

In the face of intelligent manufacturing, new quality productivity, and AI empowerment, the digital construction of teaching resources in the experimental teaching demonstration centers is a necessity of the times and an inevitable trend in the cultivation of new engineering talents. In the context of the education digital transformation from the teaching centered to the learning centered teaching model, it is particularly important to provide students with the personalized, the hierarchical, and the modular knowledge system architecture. This article is based on the intelligent manufacturing innovation platform and uses the knowledge graph to construct typical cases of the digital experimental and the practical teaching. It deeply integrates knowledge objectives, ability objectives, and ideological and political objectives, builds a practical knowledge system from the student perspective, the cultivates their comprehensive ability of the independent learning and the innovative practice, and establishes a multi-scale entropy based the experimental and practical case teaching evaluation method to explore the reform of experimental and the practical teaching based on the knowledge graph, truly realizing the talent cultivation goal and the education mode of the new engineering concept of OBE.