Prediction of academic dropout in university students using data mining: Engineering case

Student dropout is considered an important indicator for measuring social mobility and reflecting the social contribution that universities offer. In economic terms, there is evidence that students attribute their decision to defect from their academic programs because of their economic situation. D...

Full description

Autores:

Silva, Jesús
Arrieta Matos, Luisa Fernanda
Medina Mosquera, Claudia
Vargas Mercado, Carlos
Barrios González, Rosio
Orellano Llinás, Nataly
Pineda, Omar

Tipo de recurso:

Article of journal

Fecha de publicación:

2020

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/7781

Acceso en línea:

https://hdl.handle.net/11323/7781
https://doi.org/10.1007/978-981-15-3125-5_49
https://repositorio.cuc.edu.co/

Palabra clave:

Student dropout
Classification based on decision trees
Optimization

Rights

openAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 International