BIBLIOMETRIC ANALYSIS OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN HIGHER EDUCATION USING WEB OF SCIENCE DATABASE
BIBLIOMETRIC ANALYSIS OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN HIGHER EDUCATION USING WEB OF SCIENCE DATABASE
Aleksandar Šijan,Luka Ilić,2 Authors,D. Rancic
TLDR
Bibliometric analysis of scientific papers researching AI applications in higher education, using the Web of Science database, shows that interest in AI has increased significantly over the past few years, with the most dominant research in the fields of education, computer science, and engineering.
Abstract
Artificial intelligence (AI) is becoming increasingly important in higher education, which has resulted in the accelerated development of research in this area. This paper conducts a bibliometric analysis of scientific papers researching AI applications in higher education, using the Web of Science database. The analysis covers the period from 1996 to February 2024 and focuses on the most cited works in this field, a total of 82 papers, with 1011 citations (944 without self-citations). Our analysis shows that interest in AI has increased significantly over the past few years, with the most dominant research in the fields of education, computer science, and engineering. The largest number of papers was published in 2023, which indicates the growing importance of this topic. These results provide a foundation for future research on the impact of AI on educational practices, its challenges, and its potential to transform education in the future.