La inteligencia artificial en la educación superior: oportunidades y desafíos. Una revisión sistemática
DOI:
https://doi.org/10.26820/recimundo/8.(4).diciembre.2024.28-39Keywords:
Inteligencia Artificial (IA), Educación Superior, Oportunidades, Desafíos, Metodología PrismaAbstract
Diversos informes internacionales destacan que la Inteligencia Artificial en Educación (AIEd) es un campo emergente dentro de la tecnología educativa. Aunque existe desde hace aproximadamente tres décadas, los educadores todavía luchan por aprovechar plenamente su potencial pedagógico a mayor escala y por comprender su impacto significativo en la enseñanza y el aprendizaje en la educación superior. Este artículo busca explorar el papel de la Inteligencia Artificial en la Educación Superior, enfatizando tanto las oportunidades como los desafíos que implica. A través de una revisión sistemática aplicando la metodología PRISMA. También examina cómo las tecnologías emergentes influyen en los procesos de aprendizaje de los estudiantes y las formas en que las instituciones adaptan y evolucionan sus métodos de enseñanza. Este documento proporciona ejemplos de implementación de IA en la educación, con el objetivo de promover una educación equitativa y de alta calidad para todos. Comienza analizando cómo la IA puede mejorar los resultados del aprendizaje, mostrando cómo las tecnologías de IA pueden aprovechar los datos para mejorar la equidad y la calidad en la educación superior. Además, el estudio profundiza en las ventajas y desafíos asociados a la integración de la IA en entornos educativos, así como los riesgos potenciales que implica. Por último, el documento ofrece recomendaciones para el uso de la IA en la educación, fomentando el diálogo sobre sus aplicaciones, posibilidades y riesgos para apoyar el desarrollo sostenible.Downloads
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Copyright (c) 2024 Gabriel Giancarlo Gallo Macías, Xavier Oswaldo Pacheco Pérez, Ronald Esteban Sánchez Macías
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