目的 回顾2014-2025年间基于图机器学习的智能教育研究热点与趋势，为推动护理教育智能化发展提供参考。方法 研究选取Web of Science核心合集数据库、Pubmed、中国知网、万方数据知识服务平台和维普网，检索主题聚焦于图机器学习与教育领域，共获取319篇英文文献和668篇中文文献，通过CiteSpace6.4.R2软件进行可视化分析。结果 研究热点主要集中在图机器学习与智能教育技术基础、认知科学与学习机制研究、护理智能教育、应用与挑战等方面。结论 基于图机器学习的智能教育的未来研究趋势，将围绕图神经网络等核心技术的优化及护理教育场景的拓展，为智能教育模式转型提供了方向。

Objective This article reviews the research hotspots and trends in intelligent education based on graph machine learning from 2014 to 2025,aiming to provide reference for promoting the intelligent development of nursing education.Methods The study selected the Web of Science Core Collection database,PubMed,CNKI,Wanfang Data Knowledge Service Platform,and VIP Database,retrieving literature with topics focusing on graph machine learning and the field of education.A total of 319 English articles and 668 Chinese articles were obtained.Visual analysis was conducted using CiteSpace 6.4.R2 software.Results Research hotspots mainly focused on graph machine learning and the technological foundations of intelligent education,cognitive science and learning mechanism research,intelligent nursing education,and applications and challenges.Conclusions Future trends will revolve around the optimization of core technologies such as graph neural networks and the expansion of nursing education scenarios.This article provides direction for nursing educators to promote the transformation of intelligent education models.

R47-05

国家自然科学基金项目（72304196）