Generative AI in Education: A Bibliometric and Thematic Analysis

Abstract

This research paper uses the bibliometric analysis technique to find out the current stage and future scope of research in the field of Generative Artificial Intelligence (AI) in the education sector. Generative AI which is demonstrated by popular platforms like ChatGPT, has emerged as a transformative force. It has offered a personalized learning environment, adaptive instruction, and opportunities for creative exploration for the students. The analysis done in this research paper is based on the data collected from the Scopus database. It shows the publication trends, geographical distribution, citation patterns, and thematic clusters of published research articles and conference papers in the recent past. The findings of this study reveal that the countries like United States, the United Kingdom, and Australia have significant research contributions with research themes spanning student-centred learning, medical and science education, and computing and information systems education. This research paper has identified the direction for future research which focuses on ethical considerations, teacher training, interdisciplinary collaboration, and inclusiveness. This research provides valuable insights into the growing field of Generative AI in education and guides future endeavours aiming at optimizing the educational outcome with responsible AI integration into the educational sector.