Data Mining Tool for Academic Data Exploitation : Webtool description and usage

dc.contributor.author
Spagnolini, Umberto
dc.contributor.author
Fontana, Luigi
dc.contributor.author
Paganoni, Anna Maria
dc.contributor.author
Torrebruno, Aldo
dc.contributor.author
Prada Medrano, Miguel Ángel
dc.contributor.author
Domínguez González, Manuel
dc.contributor.author
Morán, Antonio
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
Barbu, Marian
dc.date.accessioned
2026-01-13T19:49:48Z
dc.date.available
2026-01-13T19:49:48Z
dc.date.issued
2019
dc.identifier
https://ddd.uab.cat/record/203300
dc.identifier
urn:oai:ddd.uab.cat:203300
dc.identifier.uri
http://hdl.handle.net/2072/489087
dc.description.abstract
This document is related to the Data Mining Tools for Academic Data Exploitation, and collects the overall architecture of the SPEET generated WEB-tool, the user manual for the use of WEB-tool and the overview of the output to establish clustering, dropout, and their dependency on students' characteristics. The ultimate goal of SPEET project is the development of an WEB-based tool to disseminate the main intellectual output in form of user-friendly and easily accessible software tool. The WEB-tool is accessible from speet.uab.cat is intended to make accessible by other faculties and schools outside of the SPEET consortium the possibility to make data analysis on students based on the proprietary data after these are organized accordingly. The WEB-tool developed within SPEET project represent a product that will remain after the end of the project to let European Universities accessing and comparing their performance metrics. Furthermore, the WEB-tool is a free-of-charge tool that contains the analyses of the SPEET institutions and another engineering institution can autonomously compare with the pre-existing ones to extract comparative analyses, or simply to investigate anomalous dropout situations.
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 : Webtool description and usage
dc.type
Informe


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