Mining ENADE Data from the Ulbra Network Institution

  • Heloise Acco Tives Leão
  • Edna Dias Canedo
  • Marcelo Ladeira
  • Fabiano Fagundes
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 738)

Abstract

The National Institute of Educational Research and Studies (INEP) provides ENADE data for Higher Education Institutions (IES) from Brazil. This data is a rich source of support in improving the quality of education offered by these IES, but requires the application of data mining techniques to achieve the standards of the learning process and thus achieve improved academic performance of students in different courses. This paper aims to present the steps of mining the data provided by INEP, which will enable the identification of standards for the IES analyzed, as well as serve as a guide for other IES that wish to follow a similar process.

Keywords

Data mining CRISP-DM Association algorithm Apriori 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Heloise Acco Tives Leão
    • 1
  • Edna Dias Canedo
    • 1
  • Marcelo Ladeira
    • 1
  • Fabiano Fagundes
    • 2
  1. 1.Computer Science DepartmentUniversity of Brasília (UnB)BrasíliaBrazil
  2. 2.Computer Science DepartmentCentro Universitário Luterano (ULBRA) de PalmasPalmasBrazil

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