Abstract
With the continuous development of physics and advancements in educational technology, traditional teaching models for university physics experiment courses have gradually revealed issues such as fragmented knowledge points and disconnection between theory and practice. To enhance students' systematic understanding and comprehensive application of knowledge, knowledge graphs have been introduced as an emerging educational tool within the physics experiment curriculum system. This paper analyzes the current application of knowledge graphs in physics experiment teaching, proposes new pathways for constructing experimental courses based on knowledge graphs, and designs a systematic knowledge graph curriculum system in response to the needs of student autonomous learning and teaching assessment. The study shows that knowledge graphs significantly enhance the integration of physics experiment knowledge, improve students' self-directed learning abilities, and increase teaching effectiveness. Future developments will further promote innovation and advancement in physics experiment teaching through the integration of artificial intelligence, big data, and other technologies.
Published Version
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