Educational Data Mining: preliminary results at University of Porto

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

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

Conference proceedings International

Title: EUNIS 2014

20th International Conference of European University Information Systems

Umea - Sweden, 11 a 13 de Junho de 2014

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Physical sciences > Computer science > Cybernetics > Artificial intelligence

Other information

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.

Language: English

Type (Professor's evaluation): Scientific