GROWING INTEREST IN AI IN EDUCATION: SYSTEMATIC LITERATURE REVIEW

GROWING INTEREST IN AI IN EDUCATION: SYSTEMATIC LITERATURE REVIEW
Danijela Blanuša Trošelj, Faculty of Educational Sciences, University Juraj Dobrila of Pula, Croatia / Sven Maričić, Center for Biomodeling and Innovations in Medicine, Faculty of Medicine, University Juraj Dobrila of Pula (And) Center for Biomodeling and Innovations, Croatia / Antonia Ćurić,
Faculty of Educational Sciences, University Juraj Dobrila of Pula, Croatia

(Presented at the International Conference on Research in Education and Science (ICRES) which took place on April 27-30, 2024, in Antalya, TURKEY (https://www.2024.icres.net/) and at the International Conference on Education in Mathematics, Science and Technology (ICEMST) (https://www.2024.icemst.com/) organized by the International Society for Technology, Education and Science (ISTES) http://www.istes.org).

Although AI in education has been written about for decades, recent years have seen exponential growth in this area. The aim of this paper is to determine the distribution of content and areas of education in which AI is researched. The article provides an overview of the newest research in the field of AI in education, available in open access journals. In the theoretical part, an overview of the historical context is given. Also, key definitions and approaches for understanding the topic are listed. In the methodological part, Systematic Literature Review was used, with AI and education as search words. Publish research studies from January 2023 to December 2023 were reviewed. The research indicates a disparity in the volume of AI research at certain degrees and fields of education. The application of AI is particularly explored in higher education. As specific areas of research, the ethical issues of applying AI in education and the possibilities of applying AI in the learning and teaching process appear.