Data mining tool for academic data exploitation: graphical data analysis and visualization

The vast amount of data collected by higher education institutions and the growing availability of analytic tools, makes it increasingly interesting to apply data mining in order to support educational or managerial goals. The SPEET (Student Profile for Enhancing Engineering Tutoring) project aims t...

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Detalhes bibliográficos
Autor principal: Prada, Miguel Angel (author)
Outros Autores: Dominguez, Manuel (author), Morán, Antonio (author), Vilanova, Ramon (author), Vicario, José (author), Pereira, Maria João (author), Alves, Paulo (author), Podpora, Michal (author), Barbu, Marian (author), Torrebruno, Aldo (author), Spagnolini, Umberto (author), Paganoni, Anna (author)
Formato: report
Idioma:eng
Publicado em: 2019
Assuntos:
Academic analytics
Learning analytics
Big data edication
Educational data minig
Student profile
Dropout prevention
Texto completo:http://hdl.handle.net/10198/18941
País:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/18941

Texto Completo

http://hdl.handle.net/10198/18941

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