Identificación de Factores Asociados al Desempeño Académico en Matemáticas en las Pruebas Saber 11° Aplicando Minería de Datos Educativa

Published in: Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 24-26, 2019
Location of Conference: Montego Bay, Jamaica
Authors: Ricardo Timaran Pereira (Universidad de Nariño, CO)
Javier Caicedo Zambrano (Universidad de Nariño, CO)
Arsenio Hidalgo Troya (Universidad de Nariño, CO)
(Universidad de Nariño)
Full Paper: #297


This paper presents one of results obtained in the research project that aimed to apply educational data mining to discover factors associated with the academic performance of Colombian High School students who presented the Saber 11th test between the years 2015 and 2016. Socio-economic, academic and institutional information of those students was selected from the ICFES databases. CRISP-DM was used as methodology. A data repository for data mining was built, cleaned and transformed. Patterns associated with the good or poor academic performance of students were discovered in the mathematics test, using a classification model based on decision trees. The knowledge discovered will be incorporated into the existing one and it can be integrated into the decision-making processes of the MEN, ICFES and others governmental and educational institutions that ensure the quality of education in Colombia.