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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Vydáno v:	Facultad de Ingeniería
Hlavní autoři:	Ricardo Timarán-Pereira, Javier Caicedo-Zambrano, Andrea Timarán-Buchely
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Universidad Pedagógica y Tecnológica de Colombia 2022
Témata:	Ingeniería
On-line přístup:	https://www.redalyc.org/articulo.oa?id=413974254008 https://www.redalyc.org/journal/4139/413974254008/ https://www.redalyc.org/journal/4139/413974254008/html/ https://www.redalyc.org/journal/4139/413974254008/413974254008.epub https://www.redalyc.org/journal/4139/413974254008/movil
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