Bibliometric Analysis of Potential Themes and Trend Development of ChatGPT in the Field of Education

Abstract

The purpose of this article is to review existing research on ChatGPT in education through bibliometric analysis. The research questions are: First, what are the basic characteristics of the research on issues related to ChatGPT in educational applications? Second, what are the main research topics of ChatGPT in educational applications? Third, how has the international topic of ChatGPT in educational applications evolved? The research method is to use VOSviewer and SATI's bibliometric mapping research tools to analyze and visualize the author information and keywords of published articles to observe the basic characteristics, high-frequency research keywords and the evolution trend of the research topic in the field. The expected research contribution is to provide help and reference for researchers in their research in the field of ChatGPT education. The research results reveal several key findings. First, the number of documents published in journals within this research field is on an overall upward trend. Asian scholars and research institutions significantly contribute to the volume of published articles. The region with the highest number of publishing institutions is Asia, specifically Japan. Among the authors of these published articles, Chinese scholars hold the largest proportion, occupying the second and third positions. Second, on an international scale, the primary research topic is Artificial Intelligence. Third, the evolution of ChatGPT's international theme in educational applications has progressed from early scholars' research on ChatGPT school courses to investigations into the performance of artificial intelligence itself. Subsequently, it shifted towards research on ChatGPT medical education and ultimately evolved into studies related to ChatGPT language models and patient education.