Predicting Academic Performance Based On Students’ Family Environment: Evidence For Colombia Using Classification Trees

Psychology, Society, & Education

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Field Value
 
Title Predicting Academic Performance Based On Students’ Family Environment: Evidence For Colombia Using Classification Trees
Predicting Academic Performance Based On Students’ Family Environment: Evidence For Colombia Using Classification Trees
 
Creator Garcia, Juan David
Skrita, Anastasija
 
Subject academic outcome; human capital; machine learning; Saber 11
rendimiento académico, capital humano; machine learning; Saber 11
 
Description Family environment, parental economic and social conditions influence students’ academic performance. However, in Colombia, research and methods that have been used to study these variables are rather limited. This research predicts the academic performance of students who took the 2016 State exam for access to higher education (Saber 11) based on observations and characteristics of the students’ families. The data comes from the database of the Colombian Institute Educational Evaluation (ICFES), and classification trees are generated in order to predict academic results. The results show that the family variables that best predict academic results are, respectively, the educational level of the mother, the socioeconomic stratum of the household, the number of books in the home, the educational level of the father and the presence of a computer in the household
El entorno familiar, las condiciones económicas y sociales propias de las familias influyen en el desempeño académico de los estudiantes y, por ende, en los resultados de las pruebas académicas. No obstante, en Colombia es limitada la investigación y los métodos que se han usado en el estudio de estas variables. Esta investigación predice el desempeño académico de los estudiantes que presentaron el examen de Estado de 2016 para acceder a la educación superior (Saber 11) a partir de las observaciones y características familiares propias de los estudiantes. Los datos provienen de la base de datos del Instituto Colombiano para la evaluación de la educación (ICFES) y se realizan árboles de clasificación para predecir los resultados académicos. Los resultados muestran que las variables familiares que mejor predicen los resultados académicos son, en su orden: el nivel educativo de la madre, el estrato socioeconómico de la vivienda, el número de libros, el nivel educativo del padre y el poseer computador en la vivienda.
 
Publisher Editorial Universidad de Almería
 
Contributor

 
Date 2019-11-25
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artículo revisado por pares
 
Format application/pdf
 
Identifier http://ojs.ual.es/ojs/index.php/psye/article/view/2056
10.25115/psye.v11i3.2056
 
Source Psychology, Society, & Education; Vol. 11, Núm. 3 (2019); 299-311
Psychology, Society, & Education; Vol. 11, Núm. 3 (2019); 299-311
1989709X
2171-2085
10.25115/psye.v11i3
 
Language eng
 
Relation http://ojs.ual.es/ojs/index.php/psye/article/view/2056/3119
http://ojs.ual.es/ojs/index.php/psye/article/downloadSuppFile/2056/73
 
Rights Copyright (c) 2019 Psychology, Society, & Education
 

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