Data Mining Solution for Assessing the Secondary School Students of Brazilian Federal Institutes
Rogério Luiz Cardoso Silva Filho, Paulo J. L. Adeodato · 2019
There have been constant debates on several aspects of the Brazilian secondary education including student's selection process and engagement, and quality of learning among other issues. The Federal Institutes (IFs) have played an important role on increasing the offer of integrated technical education to secondary education. Thus, their managers need tools to help in decision-making and evaluation of their services. This paper presents a data mining solution developed with Domain-Driven Data Mining (D3M) for predicting the performance of high school students of IFs and explaining the factors and niches which influence that. Logistic regression, Decision trees and Classification rule induction are the techniques applied for knowledge extraction and validation.