Artificial Intelligence in Basic Education: Teacher Replacement or Reconfiguration of Teaching Practice?
Year: 2026
Type: book-chapter
Abstract: This study aims to analyze national and international scientific evidence on the role of artificial intelligence in Basic Education, discussing whether this technology constitutes a mechanism for replacing teachers or for reconfiguring their professional practice. This is a narrative literature review based on scientific articles, official documents, and reports published primarily between 2020 and 2026, supplemented by seminal references on educational technologies and teacher education. The findings show that artificial intelligence does not replace teachers but redefines their roles, shifting the focus from content transmission to pedagogical mediation, the development of critical thinking, personalized learning, information curation, and the promotion of social-emotional competencies. The literature also identifies challenges related to teacher education, digital inclusion, data protection, algorithmic transparency, and the ethical use of these technologies in school settings. It is concluded that the effectiveness of artificial intelligence in Basic Education depends on the coordination of technological innovation, continuing teacher education, adequate infrastructure, and stronger teacher autonomy, recognizing teachers as key agents in educational processes within a society increasingly shaped by intelligent technologies.
Source: Aurum Editora eBooks
Authors: Eugênio Jesus Santana, Michelle Soares Teixeira Goulart, Felipe Antonio Xavier Andrade, Priscila Keller da Mata de Jesus, Richard Lucas de Almeida, Soraya de Fátima Inácio Nascimento, Rosecler Valentim Bortolini, Michely Leal Polastreli Rezende, Maria Josiane Barros Bertoldo, Mateus dos Santos
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7204115052