Model for predicting academic performance in virtual courses through supervised learning

Since virtual courses are asynchronous and non-presential environments, the following of student tasks can be a hard work. Virtual Education and Learning Environments (VELE) often provide tools for this purpose (Zaharia et al. in Commun ACM 59(11):56-65, 2016, [1]). In Moodle, some plugins take info...

Full description

Autores:
Silva, Jesús
Garcia Cervantes, Evereldys
Cabrera, Danelys
García, Silvia
Binda, María Alejandra
Pineda Lezama, Omar Bonerge
Lamby Barrios, Juan Guillermo
Vargas Mercado, Carlos
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7710
Acceso en línea:
https://hdl.handle.net/11323/7710
https://doi.org/10.1007/978-981-15-7234-0_92
https://repositorio.cuc.edu.co/
Palabra clave:
Virtual education environments
Supervised learning
Moodle
Neural networks
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International