Teaching Design and Practice of Integrating AI Agents and Knowledge Graphs in Secondary Vocational "Circuit Fundamentals"
DOI:
https://doi.org/10.53469/wjimt.2026.09(01).06Keywords:
Artificial Intelligence, Knowledge Graph, Personalized LearningAbstract
In the process of secondary vocational education reform, utilizing AI agents and knowledge graph technology to transform traditional teaching methods has become a prominent research topic. This paper addresses the long-standing practical issues in the teaching of the secondary vocational "Circuit Fundamentals" course, such as the abstract nature of its knowledge structure, significant student diversity, and a single evaluation method. Consequently, it proposes a new teaching model that integrates AI agents and knowledge graph technology. By constructing a circuit knowledge graph, knowledge is presented visually and systematically; AI agents are utilized to support personalized learning and the design of adaptive learning paths; finally, combined with an intelligent evaluation system, a multi-dimensional, process-oriented evaluation model is implemented. Teaching practice shows that this model can effectively enhance classroom teaching efficiency and effectiveness, promote personalized learning, and provide a referential implementation path for the reform of secondary vocational circuit course teaching.
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