Bibliometric Mapping of Artificial Intelligence in Education Research: Trends and Future Directions

In this article, we use bibliometric techniques to conduct a comprehensive analysis of academic research on artificial intelligence in education. From 393 academic articles extracted from the Web of Science database, we identified emerging trends. We highlighted key publications, mapped the knowledge framework of the field, and predicted future research directions through co-citation analysis and co-word analysis. The co-citation evaluation revealed four distinct clusters, while the co-word analysis displayed five clusters. Despite the widespread attention to AI education research in recent years, more academic efforts are still needed to achieve an in-depth exploration of its application innovations.