A Bibliometric Analysis of the Development of Artificial Intelligence (AI) Research in Education in Scopus Indexed Journals: What are the Future Trends of this Research?

Abstract

This study aims to provide an overview of the literature on artificial intelligence in education based on bibliometric evaluation of various journal articles published in the Scopus database, and identify knowledge gaps as a source for future research. The approach uses VOSviewer, SEforRA, and Publish or Perish for bibliometric analysis. The analysis's findings show that artificial intelligence in education research tends to expand on the Scopus database, with a peak observed in 2021 and a trend from 2018 to 2023. Numerous themes or keywords that potentially form the basis for additional research have emerged from the expanding corpus of research on artificial intelligence in education. Finally, the bibliometric analysis provides information on AI developments in educational research, which opens the door for further exploration, collaboration, and innovation in this rapidly growing field and offers valuable insights to understand future trends, challenges, and opportunities.