Analysis of Publication Trends on Artificial Intelligence in Education: A systematic Literature Review
Erna Piantari, Dwi Novia Al Husaeni, Ani Anisyah, Erlangga

Universitas Pendidikan Indonesia

Abstract

Artificial Intelligence (AI) is a field of study in computer science that aims to build machines with intelligence similar to that of humans. AI-based technology is currently quite advanced and used in many industries, including education. The application of AI in education is considered to have great potential to improve the quality of the learning process and student learning experiences. Therefore, this research was conducted to determine AI trends in the world of research (journals). A literature review study (SLR) with bibliometric analysis was used to determine the development of publications regarding AI in the last 5 years (2013-2023). The Scopus database was chosen as a tool for collecting article data. In the collection process the terms ^AI^, ^Artificial Intelligence^, ^education^, ^learning^, ^e-learning^, ^smart learning^ were used as search keywords. Based on the research results, it was found that research on AI in the education field has experienced quite significant developments, especially in developing intelligent learning environments and intelligent tutoring systems. Apart from that, from the research results it can be seen that the application of AI in education is supported by various machine learning algorithms and data mining techniques. Although the publishing trend of AI in education has been thoroughly addressed in this study, more research on AI in education is required to completely explore the function, advantages, and impacts of AI in the field of education.

Keywords: AI, Artificial Intelligence, Education, smart learning

Topic: Computer Science Education