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

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...

書誌詳細
主要な著者:	Timarán-Pereira, Ricardo, Caicedo-Zambrano, Javier, Timarán-Buchely, Andrea
フォーマット:	Online
言語:	eng
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2022
主題:	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
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14814

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