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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

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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.
The Logical Framework of Knowledge Graph Empowering Teaching and Its Practical Exploration in Medical Education
Purpose/Significance To construct a knowledge graph intelligent teaching application system,and to provide data sup-port 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 pro-gress 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 pre-cision teaching ability of clinical teachers and promote personalized learning of medical students.

knowledge graphmedical educationprecision teachingpersonalized learningteaching ability training

王莉、奚丽君

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上海健康医学院 上海 201318

知识图谱 医学教育 精准教学 个性化学习 教学能力培训

教育部产学合作协同育人项目上海高校本科重点教改项目

220601282255909

2024

医学信息学杂志
中国医学科学院

医学信息学杂志

CSTPCD
影响因子:1.348
ISSN:1673-6036
年,卷(期):2024.45(9)
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