ARTIFICIAL INTELLIGENCE AND ITS IMPACTS ON THE TEACHING AND LEARNING PROCESS IN BRAZILIAN BASIC EDUCATION: a scientific survey of studies in the field
artificial intelligence; basic education; teaching and learning; digital culture; educational technologies.
This dissertation aims to analyze Brazilian academic-scientific production on the interface between Artificial Intelligence (AI) and the teaching-learning process in basic education. The research is part of the New Technologies in Education line of research and is based on a qualitative, exploratory and descriptive approach, adopting the Systematic Literature Review (SLR) methodology. Based on the rigorous application of inclusion and exclusion criteria, theses, dissertations and scientific articles available in databases such as the Brazilian Digital Library of Theses and Dissertations (BDTD) and the CAPES Catalog of Theses and Dissertations were selected. The research corpus was limited to the period 2015 to 2025, considering the exponential increase in the use of digital technologies in school contexts following the COVID-19 pandemic. For data analysis, the Content Analysis technique was used, according to Bardin (2016), allowing the thematic categorization of the productions found. The theoretical framework is based mainly on authors such as Pierre Lévy (1999; 2001), Miguel Nicolelis (2020; 2023), Lucia Santaella (2003; 2010), Paulo Freire (1996; 2015), and André Lemos (2002; 2020), among others, whose works contribute to a critical understanding of the interfaces between artificial intelligence, digital culture and educational processes, allowing for a critical analysis of the impacts of digital culture and artificial intelligence on education.