知识图谱赋能妇产科学智慧教学:应用场景、挑战与模式构建OA

The teaching of Obstetrics and Gynecology faces significant challenges due to its complex knowledge system,high difficulty in cultivating clinical thinking,limited practical teaching resources,and homogenized teaching methods.As a structured semantic knowledge base,knowledge graphs possess strong potential to integrate multi-source information,visualize relational associations,and simulate intelligent reasoning,offering a novel pathway to innovate traditional teaching modes.This article systematically elaborates on four core application scenarios of knowledge graphs in obstet-rics and gynecology education:constructing systematic knowledge networks,driving clinical thinking training,enabling stratified and personalized teaching,and empowering skills simulation training.It further provides an in-depth analysis of the major challenges in technological implementation,knowl-edge updating,teaching reform,and ethical safety.Based on this analysis,a forward-looking"knowl-edge graph+"intelligent teaching mode for Obstetrics and Gynecology is constructed.The aim is to provide theoretical reference and practical directions for promoting the transformation of Obstetrics and Gynecology education from"knowledge transmission"to"capacity empowerment".