Análisis de datos educativos con IA: transformación del aprendizaje y la gestión académica
Abstract (en)
La integración de la nteligencia rtificial (IA) en el ámbito educativo está transformando significativamente tanto los procesos de enseñanza-aprendizaje como la gestión académica. Mediante algoritmos de aprendizaje automático, la IA permite personalizar la instrucción, predecir el rendimiento académico y automatizar evaluaciones, lo cual genera rutas de aprendizaje adaptativas y más inclusivas. Herramientas como tutores inteligentes, sistemas de alerta temprana y plataformas de evaluación automatizada han demostrado mejorar la retención, motivación y eficiencia institucional. No obstante, esta revolución tecnológica también plantea importantes desafíos éticos y sociales, como los sesgos algorítmicos, la brecha digital y la privacidad de los datos estudiantiles. Este artículo subraya la necesidad de implementar marcos normativos claros y modelos de IA transparentes y explicables, que aseguren que el uso de estas tecnologías sea equitativo y respetuoso con los derechos de estudiantes y docentes. Además, resalta el papel fundamental del docente como mediador pedagógico en un entorno cada vez más automatizado. La evolución del sistema educativo dependerá de una formación docente sólida en competencias digitales y en pensamiento crítico sobre IA, así como del diseño de políticas públicas que promuevan un uso ético, inclusivo y basado en evidencia de estas tecnologías emergentes.
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