La inteligencia artificial en la educación superior: oportunidades y desafíos. Una revisión sistemática

Autores/as

DOI:

https://doi.org/10.26820/recimundo/8.(4).diciembre.2024.28-39

Palabras clave:

Inteligencia Artificial (IA), Educación Superior, Oportunidades, Desafíos, Metodología Prisma

Resumen

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.

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Biografía del autor/a

Gabriel Giancarlo Gallo Macías, Universidad de Guayaquil

Magíster en Educación Superior Investigación e Innovaciones Pedagógicas; Diploma Superior en Pedagogía Universitaria; Ingeniero en Sistemas Computacionales; Universidad de Guayaquil, Guayaquil, Ecuador

Xavier Oswaldo Pacheco Pérez, Universidad de Guayaquil

Magíster en Diseño Curricular; Licenciado en Ciencias de la Educación Especialización Informática; Universidad de Guayaquil; Guayaquil, Ecuador

Ronald Esteban Sánchez Macías, Universidad de Guayaquil

Magíster en Electrónica y Automatización Mención en Informática Industrial; Ingeniero en Electrónica con Mención en Sistemas Industriales; Universidad de Guayaquil; Guayaquil, Ecuador

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Publicado

2024-12-01

Cómo citar

Gallo Macías, G. G. ., Pacheco Pérez, X. O. ., & Sánchez Macías, R. E. . (2024). La inteligencia artificial en la educación superior: oportunidades y desafíos. Una revisión sistemática. RECIMUNDO, 8(4), 28–39. https://doi.org/10.26820/recimundo/8.(4).diciembre.2024.28-39

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