Revolutionizing education: An extensive analysis of large language models integration

Large Language Models have garnered significant attention from companies, universities, and research groups in recent times, driven by the abundance of data available for their training. However, little evidence has been conducted in the field of education, leaving a huge gap that needs to be filled. Therefore, the purpose of this article is to provide an overview of the use of new areas of artificial intelligence in the field of education. We use the PRISMA method to analyze the relevant contents in detail to gather data, covering articles collected in the contemporary period between January 2019 and 2024. Results from 54 reviewed publications indicated that trends of utilizing LLMs in education have increased significantly since 2022 and arXiv preprint is the most common repository for declaring researchers’ ideas. The application of LLMs can support the achievement of learning objectives, enhance the quality and accuracy of assessments, and contribute to improving the educational environment as well as the practical application of various subjects. Seven limitations are identified and discussed, opening several avenues for future research agenda.