A bibliometric analysis of generative AI in education: current status and development
Jun Liu, Cong Wang, Zile Liu, Minghui Gao, Yanhua Xu, Jiayu Chen, Yichun Cheng
Abstract
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.