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
王莉 1奚丽君1
作者信息
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.
Abstract
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.
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Key words
knowledge graph/medical education/precision teaching/personalized learning/teaching ability training引用本文复制引用
基金项目
教育部产学合作协同育人项目(220601282255909)
上海高校本科重点教改项目()
出版年
2024
NETL
NSTL
万方数据