Applying Predictive Data Mining to Discover Factors Associated to the Language Skill Performance from Elementary School Students

In this paper, predictive data mining techniques are applied to determine the academic performance from fifth grade students in the Saber 5° tests Language skill at Colombian elementary schools in 2017. We employed the CRISP-DM methodology.  Socioeconomic, academic, and institutional information was...

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Autors principals:	Timarán-Pereira, Ricardo, Caicedo-Zambrano, Javier, Timarán-Buchely, Andrea
Format:	Online
Idioma:	eng
Publicat:	Universidad Pedagógica y Tecnológica de Colombia 2022
Matèries:	Data Mining Classification Decision Trees Predictive Model Performance Patterns Saber 5 Tests Minería de Datos Clasificación Árboles de Decisión Modelo Predictivo Patrones de Desempeño Pruebas Saber 5
Accés en línia:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14814