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...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/14350
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ingenieria/article/view/14814
https://repositorio.uptc.edu.co/handle/001/14350
- Palabra clave:
- 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
- Rights
- License
- Copyright (c) 2022 Ricardo Timarán-Pereira, Javier Caicedo-Zambrano, Andrea Timarán-Buchely