基于知识图谱的ChatGPT应用研究热点及对护理教育的启示
Research hotspots of ChatGPT based on knowledge graph and its implications for nursing education
张山 1刘璐 1崔薇 1吴瑛1
作者信息
- 1. 首都医科大学护理学院,北京 100069
- 折叠
摘要
目的 探讨ChatGPT相关文献的研究热点,为推动护理教育教学改革提供参考.方法 采用CiteSpace软件对源于Web of Science核心合集数据库和中国知网纳入的ChatGPT相关文献进行计量学分析,包括发文国家、作者、机构、共被引期刊和关键词聚类等.结果 共纳入651篇英文文献和1 572篇中文文献.各国作者和机构存在一定合作;文献共被引期刊最多的为Nature;研究热点主要围绕教育教学、智能传播和数字经济.结论 基于ChatGPT的相关研究迅速攀升,各国之间的合作需进一步加强,研究人员已将ChatGPT应用于教育教学和传媒行业,以及推动数字经济发展.建议护理教育工作者未来可探索ChatGPT在虚拟仿真教学、智能教学评价以及智能问答平台等方面的应用,为推动数智教育提供参考.
Abstract
Objective To explore the research hotspots on chat generative pre-trained transformer(ChatGPT),so as to provide reference for promoting nursing education and teaching reform.Methods CiteSpace software was used to conduct bibliometric analysis on ChatGPT related literature from the Web of Science core collection database and China National Knowledge Infrastructure(CNKI),including publishing countries,authors,institutions,co cited journals,and keyword clustering.Results A total of 651 English articles and 1 572 Chinese articles were included.There was collaboration among authors and institutions from various countries.The journal with the most co cited articles was Nature.The research hotspots mainly focused on education and teaching,intelligent communication,and digital economy.Conclusions Research based on ChatGPT is rapidly increasing,and cooperation between countries needs to be further strengthened.Researchers have applied ChatGPT to the education,teaching,and media industries,as well as promoting the development of the digital economy.It is recommended that nursing educators explore the application of ChatGPT in virtual simulation teaching,intelligent teaching evaluation,and intelligent question and answer platforms,providing reference for promoting digital education.
关键词
护理教育研究/ChatGPT/知识图谱/研究热点Key words
Nursing education research/ChatGPT/Knowledge graph/Research hotspots引用本文复制引用
出版年
2024
NETL
NSTL
万方数据