Impacto de los tutores virtuales basados en IA en el aprendizaje personalizado en educación superior

Virtual tutors based on artificial intelligence (AI) represent a significant innovation in higher education by facilitating personalized learning, adapting to the pace and style of each student. These systems allow immediate feedback, monitoring of academic progress and recommendation of specific content according to individual needs. Therefore, the objective of this research is to analyze the impact of AI-based virtual tutors on the personalized learning process of students in the Production Engineering program at the University of Guayaquil. Research was developed under a mixed approach with an exploratory, descriptive and correlational scope. A purposive and stratified random sampling was applied to students and teachers through structured surveys. More than 60% of the students stated that the use of virtual tutors enabled them to better understand complex topics and to organize their self-study more efficiently. Likewise, teachers identified improvements in student participation and monitoring of academic performance. However, they pointed out limitations related to technological infrastructure and teacher training in the use of these tools. Somers' d statistic was obtained with a value of 0.305 between the use of virtual tutors and the level of personalization of learning, indicating a moderate association.