Application of AI in Education. A Bibliometric Analysis

The primary objective of this study is to contribute to the existing literature concerning the utilization of AI in education. It achieves this by introducing four distinct research clusters that offer directions for scholars to expand their investigations into AI-based learning. The study's focus centers on student-centric literature related to AI-based learning from 2000 onwards, employing established bibliometric techniques to yield comprehensive insights. Through the application of these techniques, a comprehensive analysis was conducted on 722 articles published within the last decade This assessment encompassed the identification of key research domains, influential authors, countries contributing significantly, influential journals, and prominent organizations involved in AI-based learning research. Additionally, a scrutiny of the most influential studies was conducted based on their citation counts. The study acknowledges the transformation of AI-based learning from an emerging field to a robust tool for both teaching and research. Given this progression, the investigation is designed to explore and delineate the evolving trends in the application of AI within the realms of learning and research. By conducting a meticulous examination of relevant literature and employing bibliometric methodologies the study provides a valuable resource for researchers, educators, and stakeholders keen on understanding and contributing to the dynamic field of AI-based learning.