Sistema de recomendación de programas universitarios para estudiantes de educación media basado en Deep Learning

Hybrid Recommender System of university programs for high school students using Deep Learning

Contenido principal del artículo

Johanna Alexandra Orozco-Cacique
Andres Darío Moreno-Barbosa

Resumen

Los estudiantes que van a culminar la educación media y se enfrentan a la selección de programas académicos, usualmente usan buscadores web, información de programas y asesorías o pruebas vocacionales. Sin embargo, estas alternativas tienen limitaciones, porque no tienen en cuenta las características sociodemográficas del estudiante ni su desempeño académico o no pueden guiar adecuadamente a todos los estudiantes. Esta propuesta apoya la toma de decisiones de este grupo poblacional con un Sistema de Recomendación que produce recomendaciones basadas en variables sociodemográficas y datos académicos históricos de estudiantes de pregrado.  Además, se compara el desempeño de un modelo de Filtrado Colaborativo clásico y Deep Learning.

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