Inteligência artificial na educação: análise dos impactos no ensino e na aprendizagem

Abstract

Generative Artificial Intelligence (GAI) has impacted various social sectors, including education. When used for teaching and learning, it can provide new ways of teaching and learning. In this context, this study aimed to identify the ways GAI is used in education, identify positive or negative impacts, as well as ethical issues associated with its use. A bibliographic survey was conducted, with literature analysis and categorization of results. According to 12 national articles selected from the CAPES Periodicals Portal, published between 2021 and 2025, the use of artificial intelligence in education is mainly focused on the personalization of teaching, chatbots, and learning analytics. This use, however, can produce positive or negative effects. The positive impacts identified are related to greater learning support, optimization of teaching work, learning mapping, assistance in the inclusion of people with disabilities and learning difficulties, and the development of critical skills. On the other hand, negative impacts are related to resource limitations and superficial responses, the imposition of knowledge updates on teachers, harm to human behavior, as well as risks regarding the presence of bias. The articles point to concerns regarding ethical issues, such as lack of security and risk to privacy, compromise to authorial integrity and plagiarism, lack of transparency and scientific rigor, and difficulty in identifying those responsible for errors generated in the use of AI. Although not present among the objectives of the study, recommendations for a more conscious use of GAI were also identified, such as the need for regulation of use, training for users, and critical analysis of results generated by artificial intelligence.