A bibliometric analysis of generative AI in education: current status and development

被引：4
|
作者：
Liu, Jun [1 ]
Wang, Cong [1 ]
Liu, Zile [1 ]
Gao, Minghui [2 ]
Xu, Yanhua [3 ]
Chen, Jiayu [2 ]
Cheng, Yichun [2 ]
机构：
[1] Capital Normal Univ, Coll Educ, Beijing, Peoples R China
[2] Capital Normal Univ, Coll Teacher Educ, Beijing, Peoples R China
[3] Jiangxi Normal Univ, Sch Geog & Environm, Nanchang 330022, Jiangxi, Peoples R China
来源：
ASIA PACIFIC JOURNAL OF EDUCATION | 2024年 / 44卷 / 01期
关键词：
Generative AI; education; bibliometric analysis; visualization; CiteSpace; VOSviewer; INTELLIGENCE; EVOLUTION;
D O I：
10.1080/02188791.2024.2305170
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
The rapid advancement of generative AI technology offers new opportunities for the innovation and transformation of education. However, this also brings forth risks and challenges, including the potential to exacerbate educational inequality and integrity. This study aims to address the extensive controversies surrounding the application of generative AI technology in education by providing an objective and comprehensive understanding of its current state, development in educational contexts. Using the CiteSpace and VOSviewer software, we conducted visual analyses of relevant literature from the Web of Science core collection pertaining to the application of generative AI in education.Subsequently, we identified productive journals, productive articles, collaboration patterns, article hotspots, and prevalent topics in this field.This study will facilitate the promotion of in-depth research and practical implementation of AI in education.
引用
收藏
页码：156 / 175
页数：20
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