Artificial Intelligence for virtual learning: Bibliometric analysis

The evolution of Artificial Intelligence has significantly influenced educational practices for students and teachers. For teachers, the importance lies in utilizing Artificial Intelligence to design assignments that help students enhance their knowledge. The students attempt to utilize Artificial Intelligence to complete assignments or to grasp certain concepts from the class. In this paper, we present a systematic analysis of scientific publications on the Web of Science that address the integration of AI in education. We are using bibliometric methods on a dataset of publications indexed in Web of Science to understand how this field evolved and the extent of interest in using Artificial Intelligence in education. The results show a significant increase in the number of publications in this field, as well as a rise in interest in how Artificial Intelligence can be applied in Education. Furthermore, the analysis identifies the leading countries and institutions driving research output and outlines the gaps that require further investigation. By providing a comprehensive quantitative overview of the scientific landscape, this study supports researchers and policymakers in understanding current directions and future opportunities in AI-enhanced education.