知识图谱赋能教学的逻辑框架及其在医学教育中的实践探索  

The Logical Framework of Knowledge Graph Empowering Teaching and Its Practical Exploration in Medical Education

作　　者：王莉[1] 奚丽君[1] WANG Li;XI Lijun(Shanghai University of Medicine&Health Sciences,Shanghai 201318,China)

机构地区：[1]上海健康医学院,上海201318

出　　处：《医学信息学杂志》2024年第9期96-101,共6页Journal of Medical Informatics

基　　金：教育部产学合作协同育人项目(项目编号:220601282255909);上海高校本科重点教改项目。

摘　　要：目的/意义构建知识图谱型智能教学应用系统,为医学院校持续优化专业建设、提高医学及相关专业人才培养质量提供数据支撑。方法/过程采用文献归纳法,系统梳理当前知识图谱应用于教学的进展,基于布鲁姆教学认知模型,结合学生学习情况及底层算法,构建知识图谱型智能教学应用系统。结果/结论系统通过精准检测、内容推送及路径规划,形成动态闭环的教学反馈机制,有助于提升临床教师的精准教学能力,促进医学生个性化学习。Purpose/Significance To construct a knowledge graph intelligent teaching application system,and to provide data support for medical universities and colleges to continuously optimize specialty construction and improve the training quality of medical and relevant specialty.Method/Process By using literature induction method,the paper systematically sorts out the current application progress of knowledge graph in teaching,and builds a knowledge graph intelligent teaching application system based on Bloom’s teaching cognitive model,combined with students’learning situation and underlying algorithms.Result/Conclusion Through accurate detection,content push and path planning,the system forms a dynamic closed-loop teaching feedback mechanism,which helps to improve the precision teaching ability of clinical teachers and promote personalized learning of medical students.

关 键 词：知识图谱 医学教育 精准教学 个性化学习 教学能力培训 

分 类 号：R-058[医药卫生]