Implementación de sistemas de tutoría inteligente basados en IA para la personalización del aprendizaje en matemáticas

The research identifies the methodologies used in the implementation of ITS, including the design of adaptive algorithms that allow the systems to analyze student performance and provide instant feedback. Successful cases from different countries are examined, where ITS have been integrated into traditional classrooms and remote learning environments, showing significant improvements in mathematical understanding and student engagement. Additionally, the challenges educators face when adopting these technologies are addressed, such as the need for teacher training and adequate technological infrastructure. The research concludes that, despite the obstacles, the implementation of AI-based ITS offers a valuable opportunity to transform mathematics learning, promoting a more equitable and adaptive education in the Ecuadorian context.