Authors
Abstract
Emerging technologies are transforming teaching and learning processes, generating new applications at various educational levels. This study aims to examine the current state of artificial intelligence (AI) in basic education globally, analyzing its benefits, challenges and implementation trends. A systematic mapping methodology of Petersen et al. (2015) and Kitchenham and Charters (2007) was used. The literature search was conducted between December 15 and 30, 2024 in the academic databases Scopus, ScienceDirect and SpringerLink, using the selection process of Roehrs et al. (2017), where the collected data were analyzed using VOSviewer software and Microsoft Excel. The results indicate that AI has key implications in educational innovation in basic
education and in teaching and learning processes. Its benefits include personalized feedback, content adaptation and administrative efficiency to improve educational quality. Despite this, its adoption requires ethical guidelines to guide its responsible use. There is a growing trend of publications that report on the integration of AI-based tools in basic education (Chiu and Chai, 2020; Balaban and Ruzic, 2024; Falebita and Kok, 2024), covering diverse activities of educational management.
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