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.
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Leão, H.A.T., Canedo, E.D., Ladeira, M., Fagundes, F. (2018). Mining ENADE Data from the Ulbra Network Institution. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 738. Springer, Cham. https://doi.org/10.1007/978-3-319-77028-4_39
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DOI: https://doi.org/10.1007/978-3-319-77028-4_39
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