¿Se logra predecir el rendimiento académico? Un análisis desde la tecnología educativa

Odiel Estrada Molina; Dieter Fuentes Cancell

doi:10.12795/revistafuentes.2021.14278

Autores/as

Odiel Estrada Molina Universidad de las Ciencias Informáticas https://orcid.org/0000-0002-0918-418X
Dieter Fuentes Cancell Universidad de las Ciencias Informáticas http://orcid.org/0000-0002-2509-5400

DOI:

https://doi.org/10.12795/revistafuentes.2021.14278

Palabras clave:

Aprendizaje; educación; educación superior; estudio bibliográfico; evaluación de la educación; informática educativa; rendimiento escolar; tecnología educativa.

Resumen

Predecir el rendimiento académico es un elemento clave en la educación, permitiéndole al profesorado diseñar acciones didácticas preventivas. Diversas disciplinas intervienen en este proceso predictivo, siendo las analíticas de aprendizaje, el aprendizaje automático, la minería de datos educativos las redes neuronales artificiales y las teorías difusas, las de mayor influencia. Se presenta una revisión sistemática a la literatura científica (2010-marzo 2020) presente en Scopus, IEEE Xplore, ACM Digital Library y Springer, con el objetivo valorar el cómo se ha comportado la predicción del rendimiento académico en dos escenarios: (1) modalidades de estudios online (en línea) y semipresencial; y (2) Apoyo tecnológico a la modalidad presencial. Se concluye el artículo con la determinación de las tendencias entre las disciplinas de las tecnologías educativas y las variables del rendimiento académico.

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