Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Repositorio Instituc...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Rendimiento académico: ¿qué papel juegan los factores institucionales?

Authors: Montes, Isabel; Garcés, José David; Chica, Sandra Milena; Jaramillo, Alberto;

Rendimiento académico: ¿qué papel juegan los factores institucionales?

Abstract

El presente artículo examina cuáles son los factores institucionales que tienen relación con el rendimiento académico en matemáticas. Para ello se tomó un corte transversal de 1653 estudiantes que presentaron el examen de Estado de la educación media (Saber 11) en el 2010, provenientes de 44 instituciones educativas de la ciudad de Medellín - Colombia. La estimación se hizo por medio de un Modelo Lineal Jerárquico cuyas variables independientes se clasificaron en dos niveles: estudiante e institución. Los principales resultados evidencian que el 31,4% del rendimiento de los estudiantes en matemáticas es explicado por variables institucionales como el número de horas de matemáticas, el pertenecer a colegios privados y de un solo género, el uso de texto guía y el tamaño del colegio.

This paper examines which is the relationship between institutional factors and the academic achievement in mathematics. To reach this purpose, 1,653 students who had taken the test in 2010 and who came from 44 high schools in Medellin, Colombia were selected. The econometric estimate was conducted by means of Hierarchical Linear Model (HLM), which its independent variables were classified in two levels: student and institution. Our main results provide evidence to support that 31.4% of educational attainment in mathematics is explained by institutional variables such as the number of hours in math class, to belong to private schools and with a unique gender, the use of textbook and the school size.

Country
Colombia
Related Organizations
Keywords

academic achievement, institutional factors, Rendimiento académico, Hierarchical Linear Models, factores institucionales, modelos lineales jerárquicos

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green