ENADE: uma análise do desempenho dos estudantes de ciências exatas (ENADE: Math and Science Students' Performance Analysis)

Leylane F Silva (leylanegraziele@gmail.com)1, Maria Edoarda Pascoal Salgado da Rocha (edoarda.pascoal@gmail.com)1, Roberta Andrade de Araújo Fagundes (raafupe@gmail.com)1

1Universidade de Pernambuco

This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2017
Volume: 15,   Issue: 9 
ISSN: 1548-0992

This present article aims to analyze Math and Science students' performance from Brazilian universities based on the National Exam for the Assessment Of Student Performance grades (ENADE) taken in 2014. Nevertheless, these variables were analyzed by multiple linear regression techniques and by the stepwise method. Lastly, it was perceived that variables such as course, course time, institution, gender, deficiency, and the institution's city are relevant and influential when it comes of students' performance in the fields of Math and Science that took part on the exam ENADE

Index Terms:
Data Mining, Stepwise, Linear Regression, ENADE.   

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