Data Mining tool for Academic Data Exploitation : Literature review and first arquitecture proposal
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)
Popdora, Michal (Opole University of Technology)
Prada Medrano, Miguel Ángel (Universidad de León)
Torrebruno, Aldo (Politecnico de Milano)
Marin, S. (University of Galati)
Tocu, R. (University of Galati)

Date: 2018
Description: 55 pàg.
Abstract: This document aims to reflect the necessary aspects implied into the characterisation of a student profile: pedagogical characteristics, teaching learning attitudes, description of the different situations that may reflect problems regarding a normal progress. Also the characterisation the scenario that concerns the application of educational data mining techniques. The data that a student generates while progressing on his/her studies will be synthesised and related to potential profile features. As per the SPEET project concern, the definition of an IT architecture that is aimed at dealing with such student profile characterisation is also outlined.
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: 978-972-745-228-6



55 p, 1.9 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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