Data mining tool for academic data exploitation: publication report on engineering students profiles

This report summarizes the findings of the project SPEET. It relies on the initial document generated as Intellectual Output #1 and the results obtained by application of the IT tools developed in Intellectual Output #2, and Intellectual Output #3 to the academic data provided by the partner institu...

ver descrição completa

Detalhes bibliográficos
Autor principal: Barbu, Marian (author)
Outros Autores: Vilanova, Ramon (author), Vicario, José (author), Pereira, Maria João (author), Alves, Paulo (author), Podpora, Michal (author), Kawala-Janik, A. (author), Prada, Miguel Angel (author), Dominguez, Manuel (author), Spagnolini, Anna (author), Fontana, L. (author)
Formato: report
Idioma:eng
Publicado em: 2019
Assuntos:
Academic analytics
Learning analytics
Big data in education
Educational data mining
Student profile
Dropout prevention
Texto completo:http://hdl.handle.net/10198/18957
País:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/18957

Texto Completo

http://hdl.handle.net/10198/18957

Registros relacionados