Research and Practice of a Knowledge Graph-Driven Digital Multidimensional Reconstruction Strategy for Courses: A Case Study of the“Urban Railway Communication and Signal”Course

Aiming at the problems of knowledge systematic weakness, insufficient dynamic adaptation of resources and single evaluation dimension in the digital transformation of vocational education courses, a multi-dimensional reconstruction framework for courses driven by knowledge graph is proposed. Based on the construction practice of “Urban Railway Communication and Signal”, systematic innovation is carried out in the three dimensions of content architecture, teaching mode and evaluation system. Through the construction of domain knowledge semantic network architecture, the logical association of course knowledge modules, skill elements and human development connotation is realized, which significantly enhances the structural integration effectiveness of teaching resources; the “dynamic adaptive teaching strategy of virtual and real linkage” is designed to realize the dynamic generation of personalized learning sequences by using the path of knowledge graph, which effectively enhances the depth of interaction between teachers and students and their ability of practical migration; the composite evaluation model based on vocational ability mapping is developed to systematically construct the teaching mode covering the knowledge content and the evaluation system. Developing a composite evaluation model based on vocational competence mapping systematically builds a multi-dimensional monitoring system covering knowledge internalization, skill formation and value recognition. The research results show that the framework can strengthen the intelligent adaptation of teaching resources, the dynamic generation of teaching process and the three-dimensional diagnostic function of learning evaluation, forming a collaborative innovation paradigm of “knowledge structuring - learning personalization - evaluation value-added”, which provides a practical reference of the in-depth integration of knowledge construction and value orientation for the digital transformation of vocational education, and effectively promotes the innovation of value and optimization of path of digital transformation of education. It effectively promotes the value innovation and path optimization of education digital transformation.