Beyond the Hype: A Scoping Review of Artificial Intelligence Integration in Learning
Keywords:
scoping review, artificial intelligence, artificial intelligence in education, educational technologies, instructional technologiesAbstract
The present study aims to systematically and comprehensively examine recent research on the use of artificial intelligence in the field of education. The primary objective of this study is to identify the main thematic focuses of artificial intelligence research in education, to determine the advantages and limitations reported in the literature, and to evaluate current trends from a holistic perspective. To this end, a search was conducted in the Web of Science database to identify studies including "Artificial Intelligence" as a primary keyword, along with either "Educational Technology" or "Instructional Technology" among the associated keywords. This search yielded 432 studies published between 2021 and 2025. The selection of studies was guided by the PRISMA (2009) flow diagram, and 44 articles that met the predefined inclusion criteria were included in the review. The research was conducted within the framework of a Scoping Review, following the stages proposed by Arksey and O'Malley (2005). The selected studies were analysed in terms of publication year, research methods, sample groups, artificial intelligence tools used, and research purposes. The findings indicate that research on artificial intelligence in education predominantly focuses on themes such as student achievement, attitudes, perceptions, adoption, and language learning. The results of the study are presented in tables and figures, thus providing an overview of current trends and highlighting research gaps to guide future studies and educational practice.
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