Combating school dropout with Artificial Intelligence in brazilian higher education

Abstract

This research explores the use of Artificial Intelligence (AI) as an innovative strategy to combat school dropout in Brazilian higher education. Faced with the increasing challenge of student retention in universities, the study focuses on evaluating the effectiveness of AI in this context, analyzing both its capabilities and limitations. The main objective is to understand how AI can be integrated into higher education, assessing its contributions to personalized learning and student engagement. The methodology consists of an extensive literature review, including the collection and detailed analysis of relevant studies on the use of AI in the educational field. The findings highlight that AI offers significant opportunities to tailor education to individual student needs, enhancing engagement and retention. Practical examples from the Brazilian context illustrate how AI implementation has contributed to reducing school dropout rates. However, the study also identifies key challenges, such as the need for adequate technological infrastructure and ongoing training for educators to effectively use AI tools. The conclusion is that AI holds substantial potential to mitigate dropout issues in higher education, but its successful implementation requires careful consideration. It is essential to take into account legal, ethical aspects, and institutional specifics to ensure effective integration of AI into the Brazilian educational system. This study provides valuable insights for strategic decision-making and the development of more efficient and contemporary educational policies.