Técnicas y aplicaciones del Machine Learning e inteligencia artificial en educación: una revisión sistemática
DOI:
https://doi.org/10.5944/ried.27.1.37491Palabras clave:
machine learning, inteligencia artificial, innovación educativa, tecnología emergente, revolución educativa.Resumen
El Machine Learning es un campo de la inteligencia artificial que está impactando últimamente en todas las áreas del conocimiento. Las áreas de las ciencias sociales, en especial la educación, no es ajena a ella, por tanto, se realiza una revisión sistemática de la literatura sobre aquellas técnicas y aplicaciones del Machine Learning e inteligencia artificial en Educación. La falta de conocimientos y habilidades de los educadores en Machine Learning e inteligencia artificial limita la implementación óptima de estas tecnologías en la educación. El objetivo de este trabajo es identificar las oportunidades de mejora de los procesos de enseñanza-aprendizaje y la gestión educativa en todos los niveles del contexto educativo a través de la aplicación de Machine Learning e inteligencia artificial. Las bases de datos utilizadas para la búsqueda bibliográfica fueron Web of Science y Scopus, la metodología aplicada se basó en la declaración PRISMA para la obtención y análisis de 55 artículos publicados en revistas de alto impacto entre los años 2021 y 2023. Los resultados mostraron que los estudios trataron un total de 33 técnicas de Machine Learning e inteligencia artificial y múltiples aplicaciones que fueron implementadas en contextos educativos en niveles de educación primaria, secundaria y superior en 38 países. Las conclusiones mostraron el fuerte impacto que tiene el uso de Machine Learning e inteligencia artificial. Este impacto se ve reflejado en el uso de diferentes técnicas inteligentes en contextos educativos y el aumento de investigaciones en escuelas de secundaria sobre inteligencia artificial.
ARTÍCULO COMPLETO:
https://revistas.uned.es/index.php/ried/article/view/37491/28107
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