Discovering Factors Associated with Academic Performance of High School Students in Saber 11th Test using Educational Data Mining Techniques

ID: 53765 Type: Full Paper
  1. Ricardo Timaran-Pereira, Arsenio Hidalgo, Javier Caicedo, and Jorge Benavides, Universidad de NariƱo, Colombia

Thursday, October 18 12:00-12:30 PM Location: Las Vegas Ballroom 6 View on map

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Abstract: This paper presents the results obtained in the research project that aimed to apply educational data mining to discover factors associated with the academic performance of Colombian students who presented the Saber 11th test. 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 Saber 11th 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 governmental and educational institutions that ensure the quality of education in Colombia.

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