Artificial Intelligence In Education: A Bibliometric Analysis

Authors : Seher Keser Ateş, Fatih Kaleci, Ahmet Erdoğan

Pages : 14-36

View : 315 | Download : 306

Publication Date : 2025-03-31

Article Type : Research Paper

Abstract :Artificial intelligence is a technological field that mimics human cognitive abilities. The rapid development of technology has accelerated the implementation of artificial intelligence in education. The aim of the study is to examine 4935 scientific researches on artificial intelligence in the field of education indexed in the Web of Science (WoS) database between 1981-2024 by bibliometric analysis method. The results of the analysis are given with VOSviewer program. The findings of the study showed that the most studies were conducted in 2023. Most of the studies on this subject are articles and papers. The most frequently published languages are English and Spanish. The results showed that Gwo-Jen Hwang, Melissa Bond and Olaf Zawacki-Richter are the top three most cited authors in the subject area. “Artificial intelligence” and “chatgpt” are frequently used keywords. Hong Kong University of Education and Carnegie Mellon University are the top two institutions with the most published researchers. Springer Nature, IEEE and Taylor & Francis are the top publishing journals respectively. Gwo-Jen Hwang is the most co-cited author. The USA has the highest frequency of cross-country linked publications. It is thought that this research will be a guide for researchers who want to study in the field and will increase their knowledge. The research topic has been analyzed in the WoS database, and it may be recommended to analyze it bibliometrically in other databases such as Scopus.
Keywords : Yapay Zekâ, Eğitimde Yapay Zekâ, Akıllı Öğrenme Sistemleri, Bibliyometrik Analiz, VOSviewer

ORIGINAL ARTICLE URL