Abstract
STEM (Science, Technology, Engineering, and Mathematics) has become a popular term in Education worldwide and has received increasing attention in recent years in Brazil. However, developing a reliable assessment of interdisciplinary learning in STEM courses has been challenging. This chapter performed an extended investigation on all the Brazilian STEM courses using the National Assessment of Student Achievement (ENADE) datasets and improved our previous innovative methodology. ENADE datasets are maintained by National Institute for Educational Studies and Research Anísio Teixeira and correspond to data about all final year STEM students who performed the exams in 2005, 2008, 2011, 2014, and 2017. Our dataset contains 527,058 events; it was used to compare groups of female and male students’ academic performances, the grades obtained through the years, the mean ages, and compare the performance between the types of Brazilian universities.
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19 October 2022
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References
National Academies of Sciences, Engineering, and Medicine: Indicators for Monitoring Undergraduate STEM Education. The National Academies Press, Washington, DC (2018). https://doi.org/10.17226/24943
Romero, C., Ventura, S.: Educational data science in massive open online courses. Wiley Interdiscip. Rev.: Data Min. Knowl. Discov. 7(1), e1187 (2017)
Cao, L.: Data science: a comprehensive overview. ACM Comput. Surv. (CSUR) 50(3), 1–42 (2017)
Manhães, L., Zavaleta, J., Cerceau, R., Costa, R., Cruz, S.M.S.: Investigating undergraduate Brazilians students’ performance in STEM courses. In: Proceedings of the 13th International Conference on Computer Supported Education - Volume 2: CSEDU, pp. 122–130 (2021). https://doi.org/10.5220/0010495201220130. ISBN 978-989-758-502-9, ISSN 2184-5026
INEP: Microdados. INEP - Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira. Ministério da Educação (2021). http://inep.gov.br/web/guest/microdados. Accessed 10 Jan 2021
OECD: Assessing higher education learning outcomes in Brazil. High. Educ. Manag. Policy 24/2 (2013). https://doi.org/10.1787/hemp-24-5k3w5pdwk6br
INEP: Higher Education Assessments (2020). http://portal.inep.gov.br/higher-education-assessments. Accessed 21 Dec 2020
de Brito, M.R.F.: O SINAES e o ENADE: da concepção à implantação. Avaliação: Revista da Avaliação da Educação Superior (Campinas) 13(3), 841–850 (2008). https://doi.org/10.1590/S1414-40772008000300014
Zoghbi, A.C., Rocha, F., Mattos, E.: Education production efficiency: evidence from Brazilian universities. Econ. Model. 31, 94–103 (2013). https://doi.org/10.1016/j.econmod.2012.11.018. ISSN 0264-9993
Crepalde, N.J.B.F., Silveira, L.S.: Desempenho Universitário No Brasil: Estudo Sobre desigualdade educacional com dados do Enade 2014. Revista Brasileira de Sociologia - Rbs, [s.l.] 4(7), 211–238 (2016)
Silva, L.F., da Rocha, M.E.P.S., de Araujo Fagundes, R.A.: ENADE: math and science students’ performance analysis. IEEE Lat. Am. Trans. 15(9), 1742–1746 (2017)
Vista, N.P.B., Figueiró, M.F., Mozzaquatro, P.M.: Técnicas de mineração de dados aplicadas aos microdados do ENADE para avaliar o desempenho dos acadêmicos do curso de Ciência da Computação no Rio Grande do Sul utilizando o software R. In: I Seminário de Pesquisa Científica e Tecnológica, s. l., vol. 1, pp. 1–11 (2017)
Santos, B.C.S., Noro, L.R.A.: PET-Saúde como indutor da formação profissi-onal para o Sistema Único de Saúde. Ciência Saúde Coletiva, [s.l] 22(3), 997–1004 (2017)
Neto, T.A., Pereira, P.D.S.F., Nogueira, M.L., de Gody, J.M.P., Moscardini, A.C.: Factors that affect the national student performance examination grades of Brazilian undergraduate medical programs. GMS J. Med. Educ. 35(1), 1–17 (2018)
Moimaz, S.A.S., Amaral, M.A., Garbin, C.A.S.: Enade: uma análise quanti-qualitativa dos exames nacionais de Odontologia. ABENO, [s.l.] 17, 97–108 (2017)
Christie, M., O’Neill, M., Rutter, K., Young, G., Medland, A.: Understanding why women are under-represented in science, technology, engineering and mathematics (STEM) within higher education: a regional case study. Production 27(SPE) (2017)
Papadakis, S., Tousia, C., Polychronaki, K.: Women in computer science. The case study of the Computer Science Department of the University of Crete, Greece. Int. J. Teach. Case Stud. 9(2), 142–151 (2018)
Loyalka, P., et al.: Computer science skills across China, India, Russia, and the United States. Proc. Natl. Acad. Sci. 116(14), 6732–6736 (2019)
OECD: Education at a Glance 2020: OECD Indicators. OECD Publishing, Paris (2020). https://doi.org/10.1787/69096873-en
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Manhães, L.M.B., Zavaleta, J., Cerceau, R., Costa, R.J.M., da Cruz, S.M.S. (2022). Investigating STEM Courses Performance in Brazilians Higher Education. In: Csapó, B., Uhomoibhi, J. (eds) Computer Supported Education. CSEDU 2021. Communications in Computer and Information Science, vol 1624. Springer, Cham. https://doi.org/10.1007/978-3-031-14756-2_11
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