Bibliometric Analysis Of Artificial Intelligence In Education: Study From ScienceDirect Database

Abstract

In this digital era, technology has rapidly grown and developed in various ways. One technology that has been felt is the presence of artificial intelligence technology. The benefits of artificial intelligence technology have helped humans in various sectors like education sector. Publications related to artificial intelligence technology in education also have their own interest to be carried out and developed further. This research aims to analyze publication mapping regarding artificial intelligence technology in education. The method used in this research is bibliometric analysis with the help of VOSviewer 1.6.20 software. Bibliometric analysis uses co-authorship and co-occurrence techniques with presentation results in the form of network visualization, overlay visualization and density visualization. The results obtained are 50 literatures based on keywords that have been determined with data sources from Sciencedirect in 2020-2024. In addition, bibliometric mapping is obtained based on co-authorship which provides an overview of authors who are interconnected and authors who have the most citations on the topic in Hwan, Gwo Jen. Furthermore, from the results of bibliometric mapping based on co-occurrence, a description of the most frequently used keywords, namely artificial intelligence, is obtained.

Keywords: Artificial Intelligence, Artificial Intelligence in Education, Bibliometric