Modelo Universitario de Tutoría Inteligente Adaptativa (Mut-IA): Un Ecosistema Educativo Basado en Inteligencia Artificial
Resumen
Los Sistemas de Tutoría Inteligente se han implementado en la educación principalmente para el apoyo del estudiantado, pero aún presentan rigidez, costos elevados y baja integración de dimensiones emocionales y administrativas, además de enfocarse solamente en el estudiante y dejando al docente en los sistemas de tutoría. El objetivo de este artículo es presentar una propuesta arquitectónica del Modelo Universitario de Tutoría Inteligente Adaptativa (Mut-IA), una propuestaque articula Inteligencia Artificial Generativa, procesamiento de lenguaje natural (PLN), modelos de lenguaje a gran escala (LLM) e ingeniería de prompts para ofrecer acompañamiento integral a estudiantes y profesores. La metodología se fundamentó en un enfoque teórico–propositivo sustentado en revisión documental que incluyó tres fases: fundamentación tecnológica, diseño conceptual del modelo y construcción del flujo operativo. Los resultados en la fase de fundamentación tecnológica, muestran limitaciones de los sistemas de tutoría inteligente, destacando la necesidad de superar la rigidez de contenidos y la escasa personalización en tiempo real. En la fase de diseño conceptual, se consolidó la arquitectura del Mut-IA a partir de cuatro dimensiones clave (aprendizaje, pedagógica, afectiva y administrativa), vinculadas con los universos del aprendizaje (actitudinal, conocer, disciplinar y ser) para garantizar diagnósticos integrales. Finalmente, en la fase de implementación y funcionamiento, se explica el desarrollo del tutor. Se concluye que Mut-IA constituye un ecosistema escalable, inclusivo y adaptable, con potencial de aplicarse en distintos niveles educativos, áreas disciplinares y alineada con los desafíos de la educación superior contemporánea
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Derechos de autor 2026 Ismael Martínez Bonilla , Esperanza Guarneros Reyes, Arturo Silva Rodríguez

Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.









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