Data Mining Tool for Academic Data Exploitation : Publication Report on Engineering Students Profiles
Barbu, Marian (University of Galati)
Vilanova i Arbós, Ramon (Universitat Autònoma de Barcelona. Departament de Telecomunicació i d’Enginyeria de Sistemes)
López Vicario, José (Universitat Autonoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Varanda, Maria João (Instituto Politecnico de Bragança)
Alves, P. (Instituto Politecnico de Bragança)
Popdora, Michal (Opole University of Technology)
Kawala-Janik, Aleksandra (Opole University of Technology)
Prada Medrano, Miguel Ángel (Universidad de León)
Domínguez González, Manuel (Universidad de León)
Spagnolini, Umberto (Politecnico de Milano)
Fontana, Luigi (Politecnico de Milano)

Date: 2019
Description: 63 pàg.
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.
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. Creative Commons
Language: Anglès.
Series: SPEET project Intellectual Outputs
Document: book
Subject: Educational data-mining ; Student performance ; Drop-out
ISBN: 978-989-20-9286-7



69 p, 4.8 MB

The record appears in these collections:
Books and collections > Books

 Record created 2019-03-12, last modified 2019-03-15



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