HOW ARTIFICIAL INTELLIGENCE CAN INFLUENCE TEACHING

Abstract

This article investigates how Artificial Intelligence (AI) can influence teaching, with an emphasis on the Brazilian context. The research used scientific databases to identify studies on AI applications in educational environments, including Machine Learning techniques, intelligent tutoring systems, and automated assessment platforms. The results show that AI has the potential to personalize and optimize the teaching-learning process, generating benefits such as improved student performance, reduction of knowledge gaps, and greater agility in evaluative feedback. However, there are important challenges, including teacher training, insufficient technological infrastructure in many regions of the country, and ethical issues related to privacy and algorithmic bias. This study concludes that for a successful implementation of AI technologies in education, it is essential to invest in inclusive public policies, continuous teacher training, and data governance to ensure equity and respect for pedagogical principles.