Artificial Intelligence and Education: An Insight Through Bibliometric Analysis

Abstract

The utilization of artificial intelligence has experienced significant growth and expansion in recent years. The education field is not an exception, and this development holds the potential for revolutionary impacts on the educational landscape. These radical effects can improve learning experiences by making them more effective and efficient. The objective of this research is to illustrate the evolution of the artificial intelligence landscape within education, identifying shifts in research focus over time and assessing the performance of publications and authors. This study was designed as a systematic literature review. Data were collected from the Web of Science database, which is considered to contain the most cited and high-quality publications in the international literature and offers the opportunity to download and analyze the appropriate data required for systematic literature reviews. After the queries which contain filters to obtain pertinent literature 1164 publications have been found. Although studies on artificial intelligence in the field of education can be traced back to the 1980s, the majority of publications have emerged within the last five years. Notably, journals centred on technology in education have published the highest number of articles. While publications in various languages, such as Spanish, Russian, and Portuguese, exist, English (92% - 1074) serves as the lingua franca for discussions on artificial intelligence in education.