Article Details

Abstract

In order to explore the application status, development trends, and challenges faced by Generative Artificial Intelligence in the education field, and to provide a scientific development basis and reference for researchers, the CiteSpace Knowledge Graph analysis tool is utilized to systematically sort out and conduct a comparative analysis of the literature on the application of Generative Artificial Intelligence in the education field from the CNKI and WOS database during the period from 2022 to 2024. The results show that there is a sharp increase in the interest in the application of Generative Artificial Intelligence in the education field of both at home and abroad. Overseas, there is a lead in the quantity of literature and the growth rate, and a close cooperation network is presented. Domestically, the focus is on technical risks and digital intelligence technologies, while overseas, the emphasis is on the exploration of cutting-edge technologies and academic integrity. It is recommended that domestic educational institutions strengthen cooperation, deepen the research content, promote international exchanges, and cultivate Artificial Intelligence literacy and ethical awareness so as to propel the healthy development and extensive application of educational technology.

Keywords

Generative Artificial Intelligence; application status; development trend; CiteSpace

References

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Funding

2023 Beijing Social Science Fund Project (23GLB014)

About the authors

Shao Yiwen (2005-), female, Han ethnicity, from Heze, Shandong Province, is currently pursuing a bachelor's degree. Her research interests include generative artificial intelligence and digital education; Corresponding author: Zhou Yipeng (1976-), male, Han ethnicity, from Taiyuan, Shanxi, associate professor, PhD, research direction: cross media big data, intelligent information systems.