Addressing core challenges in the teaching of traditional engineering foundation course, such as complex knowledge systems, obscure logical relationships, and insufficient personalized teaching support, a knowledge graph-based framework for constructing intelligent teaching systems is proposed. Taking the core non-electrical engineering course "Electrical and Electronic Technology (B)" as the research subject, a course knowledge graph is constructed through a three-dimensional method involving textbook deconstruction, objective alignment, and expert review. Relying on the "Superstar Learning" intelligent teaching platform, four core elements—knowledge modeling, platform application, teaching model reconstruction, and dynamic evaluation—are deeply integrated. A comprehensive pathway is provided, ranging from the three-level deconstruction of the knowledge system and the construction of a multi-collaborative knowledge graph to the design of a "three-stage" teaching model and the establishment of a dynamic evaluation mechanism. This study offers a replicable and promotable model for the systematic and intelligent teaching reform of engineering foundation courses in the context of emerging engineering education.

Yang Liu, Yanpeng Zhang. Construction and Design of an Intelligent Teaching System Driven by Knowledge Graphs—A Case Study of Electrical and Electronic Technology (B). International Journal of New Developments in Education (2026), Vol. 8, Issue 1: 77-81. https://doi.org/10.25236/IJNDE.2026.080112.

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