2019
This document aims to reflect the results obtained at SPEET project by means of the application of the deployed data mining tools. More specifically, the application of the student performance tools on the engineering degrees by the participating institutions. The analysis can be used twofold: Example on the use of the different performance analysis tools developed on the project and accessible at the project web tool. Example on the interpretation of the clustering and analysis tools in order to delimit a student profile. The provided analysis also extends the interpretations aiming at showing similarities country wise, so, finally we can conclude that the tools developed in this project can offer some significant information in detecting different profiles and the relationship between these profiles and categorical variables such as age, admission score, sex, previous studies.
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