Authors:
Laci Mary Barbosa Manhães
1
;
Jorge Zavaleta
2
;
Renato Cerceau
3
;
4
;
Raimundo José Macário Costa
5
and
Sergio Manuel Serra da Cruz
5
Affiliations:
1
Departamento de Ciências Exatas, Biológicas e da Terra (PEB), Fluminense Federal University, Estr. João Jasbick s/n, Santo Antônio de Pádua, Brazil
;
2
Mathematics Institute (CCMN/NCE), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
;
3
Departament of Education & Research, Instituto Nacional de Cardiologia (INC), Rio de Janeiro, Brazil
;
4
Telehealth Center, Rio de Janeiro State University (UERJ), Rio de Janeiro, Brazil
;
5
Department of Computer Science, Federal Rural University of Rio de Janeiro, Seropédica, Brazil
Keyword(s):
Data Science, Data Analysis, Educational Data Mining, ENADE, STEM, Tertiary Education.
Abstract:
This article presents the characteristics of final year students enrolled in science, technology, engineering, and mathematics (STEM) degrees in tertiary education in Brazil. Public datasets maintained by National Institute for Educational Studies and Research Anísio Teixeira (INEP) were essential to promote access to knowledge we extracted. This paper presents an innovative methodology of analyses about the National Assessment of Student Achievement (ENADE) datasets; we investigated all the STEM degree courses. The dataset contains 527,058 data about all final year students who performed the exams in 2005, 2008, 2011, 2014, and 2017. Although the datasets present many attributes, we examined them to compare male and female academic students’ performances against the mean age and the grades obtained thought the years. We have used the software R to perform the analysis and discuss the differences between the groups.