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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Autori principali:	Timarán-Pereira, Ricardo, Caicedo-Zambrano, Javier, Timarán-Buchely, Andrea
Natura:	Online
Lingua:	eng
Pubblicazione:	Universidad Pedagógica y Tecnológica de Colombia 2022
Soggetti:	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
Accesso online:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14814