Artificial Intelligence in Basic Education: A Bibliometric Analysis of Publications from 2022 to 2024

Abstract: Artificial Intelligence (AI), a branch of computer science, allows systems to simulate typical human tasks. Its application has impacted educational, economic, and health areas, among others. In education, the use of AI presents risks and benefits, requiring critical reflection to promote knowledge and citizenship skills. This study aimed to conduct a bibliometric analysis on the application of AI in basic education. Publications from 2022 to 2024 were analyzed, verifying frequency, main authors, keywords, and institutions, identifying patterns and gaps in scientific production. The search was conducted in the Scopus database and CAPES journal portal, applying inclusion and exclusion criteria. The articles were categorized into four thematic axes: (1) Management, Pedagogy, and Curriculum; (2) Challenges and Ethical Implications; (3) Teacher Training and Perception; and (4) AI Tools and Teaching Processes. As a result of the 62 selected articles, a wide geographic distribution (35 countries), number of authors (223) and cited references (3448) were identified, in addition to an increase in publications after 2022. According to the categories, it was found that 70% of the publications emphasize the importance of teacher training to effectively incorporate AI. The analysis also revealed that its use is still incipient and with obstacles such as lack of infrastructure, connectivity and teacher training. It is concluded that its integration into the school context must occur from an ethical perspective, as a sociocultural artifact that promotes autonomy, critical thinking and citizenship. Keywords: artificial intelligence, basic education, teacher training, bibliometric analysis.