数字与技术赋能下医学智慧教育研究的知识图谱分析

Knowledge graph analysis on medical smart education research under digital and technological empowerment

目的智慧教育为实施高效医学课堂奠定了基础,并推动医学教育改革不断深化。探究医学智慧教育发展进程及研究热点,可为中国医学教育的发展提供借鉴。方法检索中国知网数据库建库至2023年12月所发表的医学智慧教育相关文献,运用CiteSpace文献计量软件对所纳入文献的发文量、机构、作者及关键词进行知识图谱的可视化分析。结果共纳入相关文献493篇。研究发现国内医学智慧教育相关研究文献年发文量总体呈上升趋势,研究机构主要包括医科/医药大学、医学院、职业学院等不同层次的学校及其附属医院。研究的热点问题主要集中在智慧管理、智慧教学、智慧资源三大方面。研究领域聚焦在临床医学、护理学、中医学等专业的理论与实践教学。结论通过对中国医学智慧教育研究进展的计量分析,深入了解医学智慧教育的发展进程及构成要素,预测智慧平台建设、智慧教学技术及个性化学习是未来主要的研究热点和方向。

Objective Smart education has laid the foundation for the implementation of effi⁃cient medical classroom and promoted the deepening of medical education reform.Exploring the devel⁃opment process and research hotspots of medical smart education can provide reference for the devel⁃opment of medical education in China.Methods Literatures related to medical smart education pub⁃lished in China National Knowledge Network(CNKI)database from when the database was estab⁃lished to December 2023 were retrieved,and the number of publications,institutions,authors,and keywords of the included literatures were visually analyzed by using CiteSpace bibliometric software.Results 493 relevant literatures were included.Research found that the annual circulation of literature related to medical smart education in China was on the rise.Research institutions mainly include medi⁃cal/pharmaceutical universities,medical schools,vocational colleges,and other schools at different levels and their affiliated hospitals.The hot research topics mainly focus on three aspects including smart management,smart teaching and smart resources.The research field focuses on the theoretical and practical teaching of clinical medicine,nursing,traditional Chinese medicine,etc.Conclusion Through bibliometric analysis of the research progress of medical smart education in China,a deep un⁃derstanding of the development process and constituent elements of medical smart education is obtained.The paper predicts that the construction of smart platforms,smart teaching technology and per⁃sonalized learning will be the main research hotspots and directions in the future.