Modelo para predecir el rendimiento académico basado en redes neuronales y analítica de aprendizaje

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

10 Citas (Scopus)

Resumen

An element of great importance for university educational institutions, educators and students is the academic performance of them in the transition of their professional training. The mining of educational data develops models and methods to explore the data collected from the educational learning environments through learning analytics in order to detect patterns that allow predicting variables of interest. The present research describes a predictive model of academic performance using neural network techniques on a set of real data of 300 students of the Systems career of the Central University of Ecuador. This registration was provided by the virtual learning environment https://uvirtual.uce.edu.ec/developed in Moodle and used in said University.

Título traducido de la contribuciónModel to predict academic performance based on neural networks and learning analytics
Idioma originalEspañol (Ecuador)
Páginas (desde-hasta)258-266
Número de páginas9
PublicaciónRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
N.ºE17
EstadoPublicada - 1 ene. 2019
Publicado de forma externa

Nota bibliográfica

Publisher Copyright:
© 2019, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Palabras clave

  • Academic performance
  • Big data
  • Learning analytics
  • Neural networks

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