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- W3035309007 abstract "Resumen El proposito de esta investigacion es identificar los factores relevantes que inciden en la desercion de los estudiantes universitarios, en particular en el contexto de carreras del perfil Ingenieria Informatica en la Educacion Superior cubana. Se analizan investigaciones previas en el area y estudios especificos de desercion en las ensenanzas tecnicas. Posteriormente se realiza un estudio cuantitativo para detectar los factores predictivos de desercion en una muestra de 485 estudiantes de una cohorte de nuevo ingreso de todas las provincias del pais, utilizando analisis de correlacion, regresion logistica y analisis discriminante. Los resultados indican que las variables provincia de procedencia, la opcion en que solicito la carrera, la nota del examen de ingreso en Matematica y el rendimiento academico en Matematica y Programacion, son factores incidentes en la desercion estudiantil en el primer ano de carreras de perfil Ingenieria Informatica. Se obtiene una funcion discriminante capaz de clasificar correctamente el 91.5% de los casos estudiados. Estos resultados son importantes para la identificacion de estudiantes en riesgo de desercion y la realizacion de propuestas pedagogicas que los atiendan. Abstract The purpose of this piece of research is to identify the relevant factors that affect the dropout of university students, particularly in the context of careers in the Computer Engineering profile in Cuban Higher Education. Previous research in the area and specific dropout studies in the technical studies are analyzed. Subsequently, a quantitative study is carried out to detect the predictive factors of dropout in a sample of 485 students from a cohort of all the provinces of the country, using correlation analysis, logistic regression and discriminant analysis. The results indicate that the variables province of origin, the option in which the degree was requested, the grades obtained for the entrance examination in Mathematics and the academic performance in Mathematics and Programming, are influential factors in student dropout in the first year of Computer Engineering. A discriminant function is obtained that accurately classifies 91.5% of cases. These results are important to identify students at risk of dropout and proposing pedagogical strategies to help them." @default.
- W3035309007 created "2020-06-19" @default.
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- W3035309007 date "2020-01-01" @default.
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- W3035309007 title "Factores que inciden en la deserción estudiantil en carreras de perfil Ingeniería Informática." @default.
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- W3035309007 doi "https://doi.org/10.12795/revistafuentes.2020.v22.i1.09" @default.
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