Desafíos y oportunidades de la inteligencia artificial en el aprendizaje colaborativo: implicancias para la innovación educativa en contextos institucionales
DOI:
https://doi.org/10.31637/epsir-2026-2211Palabras clave:
inteligencia artificial, aprendizaje colaborativo, innovación educativa, revisión narrativa, transformación institucional, políticas educativas, educación superior, personalización del aprendizajeResumen
Introducción: La inteligencia artificial (IA) está transformando el aprendizaje colaborativo, abriendo oportunidades y tensiones inéditas en contextos educativos. Este artículo presenta una revisión narrativa con foco en el impacto de la IA sobre prácticas colaborativas y sus implicancias para la innovación educativa institucional. Metodología: Se analizaron 24 estudios publicados entre 2018 y 2024, seleccionados por su relevancia temática y aporte crítico. La revisión integra dimensiones pedagógicas, tecnológicas y éticas desde un enfoque orientado a la transformación educativa. Resultados: Se identifican beneficios como la personalización del aprendizaje y la mejora del trabajo en equipo mediado por IA. Sin embargo, persisten desafíos relevantes: pérdida de autonomía, desigualdad digital, dilemas éticos y escasa preparación docente. Discusión: La evidencia revela que la adopción de IA sin una orientación pedagógica crítica puede profundizar brechas y reducir el protagonismo estudiantil. Se propone enmarcar su uso en estrategias institucionales de innovación social y educativa. Conclusión: Esta revisión aporta una mirada integradora para el diseño de políticas formativas e institucionales que aseguren una implementación ética, contextualizada y transformadora de la IA en entornos colaborativos.
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Derechos de autor 2025 Miguel Sagredo-Gallardo, José González Campos, Carmen Alfaro Contreras, Marina Elias

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