An In-Depth Bibliometric Analysis to Understand the Impact and Future of Artificial Intelligence in Higher Education

Abstract

Currently, artificial intelligence is used in many different ways in many different sectors - for example, in the diagnosis of diseases in the field of health by processing data, for inventory management in logistics management, and for customer service in tourism. Artificial intelligence is also used in higher education institutions in different fields such as intelligent learning systems and data management. There are different studies in the literature on the use of artificial intelligence in higher education. Considering its importance, analyzing the studies in the literature comprehensively is important for understanding the applications and making it easier for educational institutions to experience an artificial intelligence adaptation process. This study aims to analyze the existing studies in the literature through bibliometric analysis. Initially, in the bibliometric method, the existing literature is obtained by searching a database in line with the search words. After that, the existing literature is analyzed in different dimensions such as time and quantity.

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