A BIBLIOMETRIC ANALYSIS OF THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN EDUCATION: TRENDS AND OPPORTUNITIES

Abstract

This research analyses the role of artificial intelligence (AI) in modern education through a bibliometric approach. The study aims to analyze the most common keywords and extract relevant terms that reveal trending topics. Bibliometric analysis offers a quantitative approach to uncover trends in sustainability research. The present study provides a comprehensive bibliometric analysis of AI in modern education, tracking research growth, countries contributing, prominent authors, institutions, subject area and identifying research clusters. Data from the Scopus database covering 2020-2024 were analyzed using bibliometric tools and VOSViewer. A search statement was developed to collect relevant articles, resulting in 1040 publications. The analysis found that there has been a significant increase in the number of publications on AI in education, especially after the COVID-19 pandemic, which boosted the adoption of technology in the learning process. Most of the research in this field comes from countries such as China, the United States, and India. The research also found that Computer Science, Social Science, and Engineering are the fields most involved in the application of AI in education. Institutions such as Carnegie Mellon University and the Indian Institute of Technology Kharagpur are significant contributors in this field, demonstrating the importance of international academic collaboration. The keywords frequently used in this research are AI, educational technology, and ChatGPT, reflecting the primary focus on personalizing learning and integrating AI into educational curricula. While AI offers great potential to transform education, it is crucial to address challenges related to ethical use and infrastructure readiness.