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...
Hlavní autoři: | Timarán-Pereira, Ricardo, Caicedo-Zambrano, Javier, Timarán-Buchely, Andrea |
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Médium: | Online |
Jazyk: | eng |
Vydáno: |
Universidad Pedagógica y Tecnológica de Colombia
2022
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Témata: | |
On-line přístup: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14814 |
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