Recommendation System of Subjects in the Registration and Enrollment Process of University  Students

Milton Mariduena-Arroyave; Lorenzo Cevallos-Torres; Miguel Botto-Tobar

Autores/as

Milton Mariduena-Arroyave Universidad de Guayaquil
Lorenzo Cevallos-Torres Universidad de Guayaquil
Miguel Botto-Tobar Universidad de Guayaquil

Palabras clave:

Sistemas de Recomendación, Asignaturas, Récord_estudiantil, Mapas Cognitivos Difusos

Resumen

Actualmente, los sistemas de
recomendación son ampliamente utilizados para
analizar preferencias de usuarios y sugerirles
ítems afines. En el ámbito universitario, el
momento en el cual una asignatura es elegida
por un estudiante para su siguiente etapa
educativa, es monitoreado por un Consejero
Académico, quien de acuerdo con el récord
estudiantil, y comparando perfiles similares
a lo largo de su carrera, debe recomendar
cuáles asignaturas, podrían contribuir al
rendimiento y aprendizaje del estudiante. El
presente trabajo representó un esfuerzo por
diseñar un recomendador que se apoya en el
modelado de las relaciones causales existentes
entre las asignaturas del pénsum curricular de
una carrera universitaria, empleando mapas
cognitivos difusos y operadores de agregación
OWA. Se aplicó el flujo de trabajo del modelo
propuesto y su implementación, a través de la
herramienta informática (FCM-Decision). Se
desarrolló un estudio de caso con los récords
estudiantiles de una universidad en Guayaquil,
y además, se realizó un experimento para
probar los resultados de interpretabilidad con
otros modelos existentes. Entre los principales
resultados están la fiabilidad de las métricas
para el análisis estático de mapas difusos, la
similitud respecto a un estudiante objetivo, y la
importancia que cada asignatura representa en
un nuevo registro.

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