Data Mining Tool for Academic Data Exploitation : Publication Report on Engineering Students Profiles

dc.contributor.author
Barbu, Marian
dc.contributor.author
Vilanova i Arbós, Ramón
dc.contributor.author
López Vicario, José
dc.contributor.author
Varanda, Maria João
dc.contributor.author
Alves, P.
dc.contributor.author
Popdora, Michal
dc.contributor.author
Kawala-Janik, Aleksandra
dc.contributor.author
Prada Medrano, Miguel Ángel
dc.contributor.author
Domínguez González, Manuel
dc.contributor.author
Spagnolini, Umberto
dc.contributor.author
Fontana, Luigi
dc.date.accessioned
2026-01-13T19:49:47Z
dc.date.available
2026-01-13T19:49:47Z
dc.date.issued
2019
dc.identifier
https://ddd.uab.cat/record/203299
dc.identifier
urn:isbn:978-989-20-9286-7
dc.identifier
urn:oai:ddd.uab.cat:203299
dc.identifier.uri
http://hdl.handle.net/2072/489086
dc.description.abstract
This document aims to reflect the results obtained at SPEET project by means of the application of the deployed data mining tools. More specifically, the application of the student performance tools on the engineering degrees by the participating institutions. The analysis can be used twofold: Example on the use of the different performance analysis tools developed on the project and accessible at the project web tool. Example on the interpretation of the clustering and analysis tools in order to delimit a student profile. The provided analysis also extends the interpretations aiming at showing similarities country wise, so, finally we can conclude that the tools developed in this project can offer some significant information in detecting different profiles and the relationship between these profiles and categorical variables such as age, admission score, sex, previous studies.
dc.format
application/pdf
dc.language
eng
dc.publisher
dc.rights
open access
dc.rights
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
dc.rights
https://creativecommons.org/licenses/by-nc/4.0/
dc.subject
Educational data-mining
dc.subject
Student performance
dc.subject
Drop-out
dc.title
Data Mining Tool for Academic Data Exploitation : Publication Report on Engineering Students Profiles
dc.type
Informe


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