Examinando por Autor "Bonilla Naranjo, María Fernanda"
Mostrando 1 - 1 de 1
Resultados por página
Opciones de ordenación
- ÍtemFactores que predicen la culminación de la formación a nivel de pregrado a partir de la prueba Saber 11 y el cuestionario socioeconómico(Fundación Universitaria Los Libertadores. Sede Bogotá., ) Bonilla Naranjo, María Fernanda; González Veloza, José John FredyThis study aims to identify the socioeconomic factors that predict the factors associated with the education gap in Colombia. associated with the educational gap in Colombia. The results of the socioeconomic questionnaire and the questionnaire and the Saber 11 tests reported by the Institute for the Evaluation of Education (ICFES) from 2012-1 to 2016-2 Education (ICFES) from the periods 2012-1 to 2016-2, and as a response variable, having taken the Saber Pro exam (under the the Saber Pro exam (under the hypothesis that taking it is an indicator of having completed their university studies and not taking it, on the contrary, assumes the fact of not having had access to or having dropped out of this educational process. having dropped out of this formative process). Supervised automatic learning techniques were used, implementing the techniques were used, implementing the Light Gradient Boosting Machine model for the analysis of the information. information. As the main results, it was identified that the main sociodemographic variables related to the fact sociodemographic variables related to the fact of finishing or completing the formative process at the undergraduate level were at the undergraduate level are: belonging to the female gender, having access to the Internet at home, studying in a full-time educational institution, and the mother's professional training; In addition, the variables that are the best predictors of NOT being in the process of completing higher education at the undergraduate level are the variables that are better predictors of NOT being in the process of completing higher education at the undergraduate level are related to low family income, residing in rural areas, and being in a rural area. family income, living in rural areas, and not having access to a computer at home.