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...

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Bibliographic Details
Main Author: Barbu, Marian (author)
Other Authors: 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)
Format: report
Language:eng
Published: 2019
Subjects:
Academic analytics
Learning analytics
Big data in education
Educational data mining
Student profile
Dropout prevention
Online Access:http://hdl.handle.net/10198/18957
Country:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/18957

Internet

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

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