Failure Analysis in University and Computer Science Contexts With Data Mining

• Daniela de Souza Gomes Universidade Federal de Viçosa http://orcid.org/0000-0003-2620-7002
• Marcos Henrique Fonseca Ribeiro Universidade Federal de Viçosa
• Giovanni Ventorim Comarela Universidade Federal do Espírito Santo
• Gabriel Philippe Pereira Universidade Federal de Viçosa

DOI: https://doi.org/10.5753/wei.2020.11132

Abstract

High failure rates are a worrying and relevant problem in Brazilian universities. From a data set of student transcripts, we performed a study case for both general and Computer Science contexts, in which Data Mining Techniques were used to find patterns concerning failures. The knowledge acquired can be used for better educational administration and also build intelligent systems to support students’ decision making.

Keywords: Data Science, Educational Data Mining, Frequent Patterns, Association Rules

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