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

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.

KEYWORDS:

• Generative AI
• education
• bibliometric analysis
• visualization
• CiteSpace
• VOSviewer

Acknowledgements

Special thanks to the persons who helped polish the language of the article.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data sets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Additional information

Funding

This work was supported by Major Educational Project of National Social Science Fund under the Grant [number VHA220005], and 2023 Open Research Project “Artificial Intelligence in Education” in the College of Education in Capital Normal University.

Notes on contributors

Jun Liu

Jun Liu Ph.D., an associate professor at Capital Normal University, with research interests in mobile learning, smart classroom, information-based instructional design, and higher-order thinking development (retrieved from https://coe.cnu.edu.cn/szdw/jyjsyjs/2e84d1ed62e94ac9a2494862a81e91e8.htm).

Cong Wang

Cong Wang Graduate student of Capital Normal University, majoring in educational technology, with a research focus on information technology education.

Zile Liu

Zile Liu: Graduate student of Capital Normal University, majoring in educational technology, with a research focus on information technology education.

Minghui Gao

Minghui Gao Graduate student of Capital Normal University, majoring in modern educational technology.

Yanhua Xu

Yanhua Xu* Ph.D., a teacher at Jiangxi Normal University, with research interests in geography education for students’ lifelong development, integration of geography education and information technology, educational measurement and evaluation, and educational modeling (retrieved from https://dlxy.jxnu.edu.cn/_t111/2022/1031/c7439a240269/page.htm).

Jiayu Chen

Jiayu Chen Graduate student of Capital Normal University, majoring in modern educational technology.

Yichun Cheng

Yichun Cheng Graduate student of Capital Normal University, majoring in modern educational technology.