Inteligência artificial e sistemas de tutoria inteligente para uma educação matemática mais personalizada e eficiente

Abstract

This study investigated the application of artificial intelligence (AI) and intelligent tu- toring systems (ITS) in mathematics education, highlighting their ability to personalize teaching and enhance the efficiency of the learning process. The theoretical foundation presented the concepts of AI, its types, and general applications, with an emphasis on education, particularly the use of platforms such as Khan Academy. A case study of the practical application of Khan Academy’s ITS highlighted its benefits, including the generation of immediate feedback and detailed analysis of students’ progress, enabling more effective pedagogical interventions. Additionally, the study addressed the challenges faced in implementing ITS, including technical issues such as teacher training for the proper use of these tools and technological limitations. The results demonstrate that AI has transformative potential in education, fostering a more personalized, interactive, and inclusive learning experience for students. However, challenges related to accessibility and technological adaptation indicate the need for careful planning to maximize the benefits of this approach in the educational context.