Vol. 20 / 2025 – International Conference on Virtual Learning
Generative AI in Education: A bibliometric analysis
Huseyin BICEN
In this study, a search was conducted in the Web of Science database on the topic of “Generative AI in Education”. This search was tabulated with bibliometric analysis and the data was presented. The bibliometric analysis was performed using VosViewer software. The aim of this study is to determine which authors, sources and countries have done the most work by performing a bibliometric analysis of “Generative AI in Education”. On February 6, 2025, topics were selected in the Web of Science database and studies on “Generative AI in Education” were scanned. The countries with the most citations are the United States, Peoples r China and Spain. In addition, “Asia Pacific Journal of Education”, “Integrating Generative AI in Education to Achieve Sustainable” and “Interactive Learning Environments” are the most important studies related to “Generative AI in Education”. As a result, the majority of studies in this field are shaped around the concepts of artificial intelligence, chatgpt, education, generative AI, generative AI in education and higher education.
Keywords:
education,
Generative AI in Education,
Artificial Intelligence in Education,
Bibliometric Analysis,
Artificial Intelligence,
Generative AI
CITE THIS PAPER AS:
Huseyin BICEN,
"Generative AI in Education: A bibliometric analysis",
International Conference on Virtual Learning,
ISSN 2971-9291, ISSN-L 1844-8933,
vol. 20,
pp. 25-33,
2025.
https://doi.org/10.58503/icvl-v20y202502