Decision trees for predicting factors associated with academic performance of high school students in Saber 11 tests
This article is obtained by applying the classification model based on decision trees in order to detect factors associated with the academic performance of Colombian eleven grade students, who presented the Saber 11 tests in 2015 and 2016. The research was of a descriptive type under the quantitati...
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| Format: | Online |
| Language: | spa |
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Universidad Pedagógica y Tecnológica de Colombia
2019
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| Online Access: | https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/9184 |
| _version_ | 1801706000698310656 |
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| author | Timarán-Pereira, Ricardo Caicedo-Zambrano, Javier Hidalgo-Troya, Arsenio |
| author_facet | Timarán-Pereira, Ricardo Caicedo-Zambrano, Javier Hidalgo-Troya, Arsenio |
| author_sort | Timarán-Pereira, Ricardo |
| collection | OJS |
| description | This article is obtained by applying the classification model based on decision trees in order to detect factors associated with the academic performance of Colombian eleven grade students, who presented the Saber 11 tests in 2015 and 2016. The research was of a descriptive type under the quantitative approach, applying a non-experimental design. Following the CRISP-DM methodology, the socio-economic, academic and institutional information of these students was selected from the ICFES databases. A data repository was built, cleaned and transformed and, using the WEKA data mining tool, decision trees were generated that allowed the identification of patterns associated with the good or poor academic performance of the students in the Saber 11 tests. The patterns discovered will help in the decision-making processes of the Ministerio de Educación Nacional, together with institutions that ensure the quality of education in Colombia. |
| format | Online |
| id | oai:oai.revistas.uptc.edu.co:article-9184 |
| institution | Revista de Investigación, Desarrollo e Innovación (RIDI) |
| language | spa |
| publishDate | 2019 |
| publisher | Universidad Pedagógica y Tecnológica de Colombia |
| record_format | ojs |
| spelling | oai:oai.revistas.uptc.edu.co:article-91842020-11-06T02:06:25Z Decision trees for predicting factors associated with academic performance of high school students in Saber 11 tests Árboles de decisión para predecir factores asociados al desempeño académico de estudiantes de bachillerato en las pruebas Saber 11° Timarán-Pereira, Ricardo Caicedo-Zambrano, Javier Hidalgo-Troya, Arsenio data mining; associated patterns; academic performance; Saber 11 tests; decision trees minería de datos; patrones asociados; desempeño académico; pruebas Saber 11°; árboles de decisión This article is obtained by applying the classification model based on decision trees in order to detect factors associated with the academic performance of Colombian eleven grade students, who presented the Saber 11 tests in 2015 and 2016. The research was of a descriptive type under the quantitative approach, applying a non-experimental design. Following the CRISP-DM methodology, the socio-economic, academic and institutional information of these students was selected from the ICFES databases. A data repository was built, cleaned and transformed and, using the WEKA data mining tool, decision trees were generated that allowed the identification of patterns associated with the good or poor academic performance of the students in the Saber 11 tests. The patterns discovered will help in the decision-making processes of the Ministerio de Educación Nacional, together with institutions that ensure the quality of education in Colombia. En este artículo se presentan los resultados obtenidos al aplicar el modelo de clasificación basado en árboles de decisión, con el fin de detectar factores asociados al desempeño académico de los estudiantes colombianos de grado undécimo de educación media, que presentaron las pruebas Saber 11° en los años 2015 y 2016. La investigación fue de tipo descriptivo bajo el enfoque cuantitativo, aplicando un diseño no experimental. Siguiendo la metodología CRISP-DM, se seleccionó, de las bases de datos del ICFES, la información socioeconómica, académica e institucional de estos estudiantes. Se construyó, limpió y transformó un repositorio de datos y utilizando la herramienta de minería de datos WEKA, se generaron árboles de decisión que permitieron identificar patrones asociados al buen o mal desempeño académico de los estudiantes en las pruebas Saber 11°. Los patrones descubiertos ayudarán en los procesos de toma de decisiones del Ministerio de Educación Nacional, junto con las instituciones que velan por la calidad de la educación en Colombia. Universidad Pedagógica y Tecnológica de Colombia 2019-02-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf application/xml https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/9184 10.19053/20278306.v9.n2.2019.9184 Revista de Investigación, Desarrollo e Innovación; Vol. 9 No. 2 (2019): Enero-Junio; 363-378 Revista de Investigación, Desarrollo e Innovación; Vol. 9 Núm. 2 (2019): Enero-Junio; 363-378 2389-9417 2027-8306 spa https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/9184/7721 https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/9184/9705 Derechos de autor 2019 REVISTA DE INVESTIGACIÓN, DESARROLLO E INNOVACIÓN |
| spellingShingle | data mining; associated patterns; academic performance; Saber 11 tests; decision trees minería de datos; patrones asociados; desempeño académico; pruebas Saber 11°; árboles de decisión Timarán-Pereira, Ricardo Caicedo-Zambrano, Javier Hidalgo-Troya, Arsenio Decision trees for predicting factors associated with academic performance of high school students in Saber 11 tests |
| title | Decision trees for predicting factors associated with academic performance of high school students in Saber 11 tests |
| title_alt | Árboles de decisión para predecir factores asociados al desempeño académico de estudiantes de bachillerato en las pruebas Saber 11° |
| title_full | Decision trees for predicting factors associated with academic performance of high school students in Saber 11 tests |
| title_fullStr | Decision trees for predicting factors associated with academic performance of high school students in Saber 11 tests |
| title_full_unstemmed | Decision trees for predicting factors associated with academic performance of high school students in Saber 11 tests |
| title_short | Decision trees for predicting factors associated with academic performance of high school students in Saber 11 tests |
| title_sort | decision trees for predicting factors associated with academic performance of high school students in saber 11 tests |
| topic | data mining; associated patterns; academic performance; Saber 11 tests; decision trees minería de datos; patrones asociados; desempeño académico; pruebas Saber 11°; árboles de decisión |
| topic_facet | data mining; associated patterns; academic performance; Saber 11 tests; decision trees minería de datos; patrones asociados; desempeño académico; pruebas Saber 11°; árboles de decisión |
| url | https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/9184 |
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