AI-BASED LEARNING PLATFORMS: COMPARATIVE ANALYSIS OF TOOLS USED IN HIGHER EDUCATION

Abstract

Learning platforms based on (Artificial Intelligence) represent a significant advance in the educational scenario, especially in higher education. The choice of the topic is justified by the growing incorporation of these technological tools in educational institutions and the need to evaluate their effectiveness and impact on the learning process. The study's main objective is to carry out a comparative analysis of (AI) tools used in higher education, considering aspects such as functionality, usability and impact on students' academic performance. The methodology uses a bibliographic approach, reviewing academic articles, case studies and technical reports that address the implementation and effects of these platforms. The main results indicate that (AI) platforms offer more personalized and interactive learning experiences, promoting greater student engagement. However, concerns arise regarding data privacy and equity in access to technologies. It is concluded that, although (AI) platforms present substantial benefits, responsible adoption and consideration of associated ethical issues are essential to maximize positive results in higher education.