Using Decision Trees to Predict Critical Reading Performance.

In Colombia, all undergraduate students, regardless of the professional training program they take, must complete the general competencies sections of the Saber Pro exam that include Critical Reading, Quantitative Reasoning, Citizen Competencies, Written Communication, and English. This paper presen...

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Main Authors:	Timaran-Buchely, Andrea, Timarán-Pereira, Silvio-Ricardo, Hidalgo-Troya, Arsenio
Format:	Online
Language:	eng
Published:	Universidad Pedagógica y Tecnológica de Colombia 2021
Subjects:	academic performance critical reading decision trees J48 algorithm Saber Pro algoritmo J48 árboles de decisión desempeño académico lectura crítica
Online Access:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13792
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author	Timaran-Buchely, Andrea Timarán-Pereira, Silvio-Ricardo Hidalgo-Troya, Arsenio
author_facet	Timaran-Buchely, Andrea Timarán-Pereira, Silvio-Ricardo Hidalgo-Troya, Arsenio
author_sort	Timaran-Buchely, Andrea
collection	OJS
description	In Colombia, all undergraduate students, regardless of the professional training program they take, must complete the general competencies sections of the Saber Pro exam that include Critical Reading, Quantitative Reasoning, Citizen Competencies, Written Communication, and English. This paper presents the application of the classification technique based on decision trees in the prediction of the performance in the Critical Reading section presented by the students of the Pontificia Universidad Javeriana Cali in the years 2017 and 2018. The CRISP methodology was used. From the socioeconomic, academic and institutional data stored in the ICFES databases, a data repository was built, cleaned and transformed. A mineable view composed of 2052 records and 17 attributes was obtained. The J48 algorithm of the Weka tool was used to build the decision tree. The score obtained in the Critical Reading section of the Saber Pro exam was taken as a class. According to the results obtained, the Philosophy, Applied Mathematics, and Medicine programs stood out for having the best performance in this test. Among the predictive variables associated with performance in the Critical Reading skill are the faculty, the age group and the student's transportation index, as three important variables related to the good or low academic performance of the students of the Universidad Javeriana Cali. The knowledge generated in this research is constituted in quality information to support the decision-making process of the university directives in order to improve the quality of the higher education offered in this institution.
format	Online
id	oai:oai.revistas.uptc.edu.co:article-13792
institution	Revista Facultad de Ingeniería
language	eng
publishDate	2021
publisher	Universidad Pedagógica y Tecnológica de Colombia
record_format	ojs
spelling	oai:oai.revistas.uptc.edu.co:article-137922023-05-31T16:25:29Z Using Decision Trees to Predict Critical Reading Performance. Aplicación de árboles de decisión para predecir el desempeño en lectura crítica Timaran-Buchely, Andrea Timarán-Pereira, Silvio-Ricardo Hidalgo-Troya, Arsenio academic performance critical reading decision trees J48 algorithm Saber Pro algoritmo J48 árboles de decisión desempeño académico lectura crítica Saber Pro In Colombia, all undergraduate students, regardless of the professional training program they take, must complete the general competencies sections of the Saber Pro exam that include Critical Reading, Quantitative Reasoning, Citizen Competencies, Written Communication, and English. This paper presents the application of the classification technique based on decision trees in the prediction of the performance in the Critical Reading section presented by the students of the Pontificia Universidad Javeriana Cali in the years 2017 and 2018. The CRISP methodology was used. From the socioeconomic, academic and institutional data stored in the ICFES databases, a data repository was built, cleaned and transformed. A mineable view composed of 2052 records and 17 attributes was obtained. The J48 algorithm of the Weka tool was used to build the decision tree. The score obtained in the Critical Reading section of the Saber Pro exam was taken as a class. According to the results obtained, the Philosophy, Applied Mathematics, and Medicine programs stood out for having the best performance in this test. Among the predictive variables associated with performance in the Critical Reading skill are the faculty, the age group and the student's transportation index, as three important variables related to the good or low academic performance of the students of the Universidad Javeriana Cali. The knowledge generated in this research is constituted in quality information to support the decision-making process of the university directives in order to improve the quality of the higher education offered in this institution. En Colombia, todos los estudiantes de pregrado, sin importar el programa de formación profesional que cursen, deben presentar las pruebas de competencias genéricas del examen Saber Pro que incluyen: Lectura Crítica, Razonamiento Cuantitativo, Competencias Ciudadanas, Comunicación Escrita e inglés. En este artículo se presenta la aplicación de la técnica de clasificación basada en árboles de decisión para predecir el desempeño en la prueba de Lectura Crítica del examen Saber Pro que presentaron los estudiantes de la Pontificia Universidad Javeriana Cali en los años 2017 y 2018. Se utilizó la metodología CRISP-DM. A partir de los datos socioeconómicos, académicos e institucionales almacenados en las bases de datos del ICFES, se construyó, limpio y transformó un repositorio de datos. Se obtuvo una vista minable compuesta por 2052 registros y 17 atributos. Se utilizó el algoritmo J48 de la herramienta Weka para construir el árbol de decisión. De acuerdo con los resultados obtenidos, se destacaron los programas de Filosofía, Matemáticas Aplicadas y Medicina por tener el mejor desempeño en esta prueba. Entre las variables predictoras asociadas al desempeño en la competencia de Lectura Crítica, están la facultad, el grupo etario y el índice de transporte del estudiante, como tres variables importantes relacionadas al buen o bajo desempeño académico de los estudiantes de la Universidad Javeriana Cali. El conocimiento generado en esta investigación, se constituye en información de calidad para soportar la toma de decisiones de las directivas universitarias en vía del mejoramiento de la calidad de la educación superior que se brinda en esta institución. Universidad Pedagógica y Tecnológica de Colombia 2021-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/xml https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13792 10.19053/01211129.v30.n58.2021.13792 Revista Facultad de Ingeniería; Vol. 30 No. 58 (2021): October-December 2021 (Continuous Publication); e13792 Revista Facultad de Ingeniería; Vol. 30 Núm. 58 (2021): Octubre-Diciembre 2021 (Publicación Continua) ; e13792 2357-5328 0121-1129 eng https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13792/11203 https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13792/11301 Copyright (c) 2021 Andrea Timaran-Buchely, Silvio-Ricardo Timarán-Pereira, Arsenio Hidalgo-Troya http://creativecommons.org/licenses/by/4.0
spellingShingle	academic performance critical reading decision trees J48 algorithm Saber Pro algoritmo J48 árboles de decisión desempeño académico lectura crítica Saber Pro Timaran-Buchely, Andrea Timarán-Pereira, Silvio-Ricardo Hidalgo-Troya, Arsenio Using Decision Trees to Predict Critical Reading Performance.
title	Using Decision Trees to Predict Critical Reading Performance.
title_alt	Aplicación de árboles de decisión para predecir el desempeño en lectura crítica
title_full	Using Decision Trees to Predict Critical Reading Performance.
title_fullStr	Using Decision Trees to Predict Critical Reading Performance.
title_full_unstemmed	Using Decision Trees to Predict Critical Reading Performance.
title_short	Using Decision Trees to Predict Critical Reading Performance.
title_sort	using decision trees to predict critical reading performance
topic	academic performance critical reading decision trees J48 algorithm Saber Pro algoritmo J48 árboles de decisión desempeño académico lectura crítica Saber Pro
topic_facet	academic performance critical reading decision trees J48 algorithm Saber Pro algoritmo J48 árboles de decisión desempeño académico lectura crítica Saber Pro
url	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/13792
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