知识重构与创新实践智慧图谱赋能动物传染病学教学改革

中图分类号：G642 文献标识码：A DOI：10.16400/j.cnki.kjdk.2025.28.029

Intelligent Knowledge Graph-Driven Teaching Reform in Veterinary Infectious Diseases： Knowledge Restructuring and Innovative Practices

YIN Yuncong， MIAO Xinyu， CHEN Sujuan （College of Veterinary Medicine， Yangzhou University， Yangzhou， Jiangsu 225009）

AbstractAsacore discipline inveterinary education， Veterinary Infectious Diseases ischaracterized byitscomplex knowledge system， interdisciplinary nature，and high practical demands.Traditional teaching models facechallnges such asoutdated knowledge delivery，fragmented educational resources，and disconnections between theoryand practice. This study proposes a teaching reform framework based on inteligent knowledge graph technology. By constructingadynamic and visualknowledge network for veterinary infectious diseases，the framework integrates multi-source data andcase resources tooptimize teaching pathways，thereby enhancing students'knowledge integration capabilities and clinical decision-making proficiency. The results demonstrate that intelligent knowledge graph technologysignificantly improves thesystematicity，interactivityandforesightof veterinaryeducation，ofering a novel paradigm forcultivating interdisciplinary professionals equipped to metthe demands of the smart veterinary era. Keywordsveterinary infectious diseases; intelligent knowledge graph; knowledge reconstruction; inovationpractice

作为全球最大的农产品生产国和消费国，中国畜牧业经过四十余年的快速发展，已成为推动农业现代化进程的核心引擎。（剩余4387字）