O uso da Inteligência Artificial e sua influência no desempenho acadêmico: uma análise no ensino de graduação

Abstract

The increasing capacity of Artificial Intelligence (AI) algorithms to produce personalized content and generate knowledge challenges traditional pedagogical practices. This advancement calls upon educational institutions to reflect on the adoption of new educational technologies in undergraduate education and to implement actions for their integration. This study examines the influence of AI use on academic performance, based on the perceptions of students, teachers, and managers of higher education institutions (HEIs). With a sample of 284 observations from a questionnaire applied to undergraduate students and teachers, a multiple linear regression model was estimated to test four study hypotheses. A complementary qualitative stage was also conducted, with interviews applied to managers of educational institutions. The results indicated that regular use of AI increases students' academic performance in undergraduate studies by promoting rapid assimilation of content and offering dynamic and adaptive resources. On the other hand, the technological dependence resulting from the excessive use negatively affects academic performance, as this linear relationship compromises essential skills such as critical thinking and creativity. The results offer opportunities for managers and institutions to debate ethical challenges and seek strategies to deal with the transformations that AI is causing in the learning environment.