Educational Data Mining: preliminary results at University of Porto

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

Pedro Strecht (Autor) FEUP; João Mendes Moreira (Autor) FEUP; Carlos Soares (Autor) FEUP

Ata de Conferência Internacional

Título: EUNIS 2014

20th International Conference of European University Information Systems

Umea - Sweden, 11 a 13 de Junho de 2014

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Físicas > Ciência de computadores > Cibernética > Inteligência artificial

Outras Informações

Abstract (EN): Predicting the success or failure of a student in a course or a program is a problem that has recently been addressed using data mining techniques. However, the literature shows that there is still no consensus on what is the best set of variables that may lead to accurate models. Moreover, the problem is quite complex and appears to be very dependent on the data set used (Kabakchieva, 2013). It is related to student attrition, a research area of Educational Data Mining. This paper presents the results of preliminary experiments in this research area at the University of Porto. The experiments were carried out using automated approaches on administrative data. Although the number of courses is small, initial conclusions were drawn.

Idioma: Inglês

Tipo (Avaliação Docente): Científica