Model for the collection and analysis of data from teachers and students supported by Academic Analytics

Autor: A H Fredys Simanca, Isabel Hernández Arteaga, Alicia Alvarez, Jairo Augusto Cortes Mendez, Jaime Alberto Páez Páez, Fabian Blanco Garrido, María Elsa Unriza Puin

Publikováno v: EUSPN/ICTH
Procedia Computer Science
REDICUC-Repositorio CUC
Corporación Universidad de la Costa
instacron:Corporación Universidad de la Costa

Academic Analytics enables an analysis of data that is very important for making decisions in the educational institutional environment, aggregating valuable information in the academic research activity and providing easy to use business intelligenc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25ee0345a69a4db937266763981330e6
https://doi.org/10.1016/j.procs.2020.10.039