An analysis of student dropout in Engineering courses at a Brazilian Public University
DOI:
https://doi.org/10.33448/rsd-v9i8.5159Keywords:
Higher education; Dropout; Engineering; Statistical analysis.Abstract
The aim of this study is to evaluate three undergraduate courses in Engineering offered in Experimental Campuses at UNESP, and specifically to describe the student dropout possibility of these courses as the function of explanatory variables (socioeconomic, demographic and academic). It is a descriptive research with a quantitative approach. A census survey of information concerning (evaded and non-evaded) students of the academic period from 2003 to 2013 was carried out in the UNESP Database. The response variable ‘student situation’ was formulated as a function of 24 explanatory variables specifically covering attributes prior to students entering university. This relationship was investigated using multivariate statistical technique based on logistic regression. The adjusted models were able to correctly predict about 72% of cases of dropout/permanence in these courses. The results showed that describing the chance of dropping out involves academic factors, such as modality of high school completed, if the student had attended a preparatory course for the entrance exam, the number of times that the student has taken entrance exam, if the student had started some higher education course, and classification in the entrance exam, and socioeconomic factors, such as gender, skin color, if the student had exercised paid activity, and family income. Finally, the proposed method was evidenced, which may assist Higher Education Institutions in the preliminary analysis of the real risk of dropout, as well as in the development of new research on student dropout in higher education with a focus on Engineering.References
ANDIFES/ABRUEM/SESu/MEC. Comissão especial de estudos sobre a evasão nas universidades públicas brasileiras (1997). Diplomação, retenção e evasão nos cursos de graduação em instituições de ensino superior públicas. Brasília: MEC/SESu; Andifes; Abruem. Disponível em: hhttp://www.andifes.org.br/ diplomacao-retencao-e-evasao-nos-cursos-de-graduacao-em-instituicoes-de-ensino-superior-publicas.
Baggi, C., & Lopes, D. (2011). Evasão e avaliação institucional no ensino superior: Uma discussão bibliográfica. Avaliação, 16(2), 355-374.
Bean, J. P. (1980). Dropout and turnover: The synthesis and test of a causal model of student attrition. Research in Higher Education, 12, 155-187.
Bueno, J. L. (1993). A evasão de alunos. Paidéia (Ribeirão Preto), 5, 09-06.
CNI (2014). Confederação Nacional da Indústria. Recursos humanos para inovação: Engenheiros e Tecnólogos. Brasília. Disponível em: <http://arquivos.portaldaindustria.com.br /app/conteudo_24/2014/07/22/464/V20_Recursoshumanos_web.pdf>.
Correa, D. A., Torres, J., & Armesto, D. F. (2015). Análisis de la deserción estudiantil en el programa Ingeniería de Alimentos de la Universidad de Cartagena durante el periodo académico 2009-2013. Formación Universitaria, 8(1), 35-42.
Cunha, S. M., & Carrilho, D. M. (2005). O processo de adaptação ao ensino superior e o rendimento acadêmico. Psicologia Escolar e Educacional, 9(2), 215-224.
Díaz, C. (2009). Factores de deserción estudiantil en ingeniería: Una aplicación de modelos de duración. Información Tecnologica, 20(5), 129-145.
Duque, L., Duque, J., & Suriñach, J. (2013). Learning outcomes and dropout intentions: an analytical model for Spanish universities. Educational Studies, 39(3), 261-284.
Durso, S., & Cunha, J. V. A. (2018). Determinant factors for undergraduate student’s dropout in an accounting studies department of a Brazilian public university. Educação em Revista, 34. Disponível em: < http://www.scielo.br/pdf/edur/v34/1982-6621-edur-34-e186332.pdf>.
Ferrão, M. E., & Almeida, L. S. (2018). Multilevel modeling of persistence in higher education. Ensaio: Avaliação e Políticas Públicas em Educação, 26(100), 664-683.
Furtado, V. V., & Alves, T. W. (2012). Fatores determinantes da evasão universitária: Uma análise com alunos da UNISINOS. Contextus, 10(2), 115-129.
Gairín, J. et al. (2014). Student dropout rates in Catalan universities: profile and motives for disengagement. Quality in Higher Education, 20(2), 165-182.
Gitto, L., Minervini, L. F., & Monaco, L. (2016). University dropouts in Italy: Are supply side characteristics part of the problem? Economic Analysis and Policy, 49, 108-116.
Guia do estudante (2019). Conheça os 34 tipos de Engenharia que existem. Disponível em: <https://guiadoestudante.abril.com.br/universidades/conheca-os-34-tipos-de-engenharia-que-existem/>.
Hair JR, J. et al. (2009). Análise multivariada de dados. Porto Alegre: Bookman.
Imperatori, T. K. (2017). A trajetória da assistência estudantil na educação superior brasileira. Serviço Social & Sociedade, 129, 285-303.
Lima JR, P. et al. (2019). Taxas longitudinais de retenção e evasão: uma metodologia para estudo da trajetória dos estudantes na educação superior. Ensaio: Avaliação e Políticas Públicas em Educação, 27(102), 157-178.
Litalien, D. & Guay, F. (2015). Dropout intentions in PhD studies: A comprehensive model based on interpersonal relationships and motivational resources. Contemporary Educational Psychology, 41, 218-231.
Lobo, M. B. M. (2012). Panorama da evasão no ensino superior brasileiro: Aspectos gerais das causas e soluções. Disponível em: <http://institutolobo.org.br/imagens/pdf/artigos /art_087.pdf/2012>.
Massini-Cacliari, G. et al. (2018). O objetivo faz o método: Perspectivas para o cálculo do índice anual de evasão da UNESP. In: MANCHOPE, Elenita Conegero Pastor et al. Interiorização do ensino superior: Protagonismo das universidades estaduais e municipais no desenvolvimento regional. Cascavel: Edunioeste, 127-140.
Morales, E., Ambrose-Roman, S., & Perez-Maldonado, R. (2016). Transmitting success: comprehensive peer mentoring for At-Risk students in developmental math. Innovative Higher Education, 41(2), 121-135.
Pereira, E. F. et al. (2011). Sono, trabalho e estudo: duração do sono em estudantes trabalhadores e não trabalhadores. Cadernos de Saúde Pública, 27(5), 975-984.
Reisel, L., & Brekke, I. (2010). Minority dropout in higher education: A comparison of the United States and Norway using competing risk event history analysis. European Sociological Review, 26(6), 691-712.
Silva, G. P. (2013). Análise da evasão discente no ensino superior: Uma proposta de diagnóstico de seus determinantes. Avaliação, 18(2), 311-333.
Silva Filho, R. L. et al. (2007). A evasão do ensino superior brasileiro. Cadernos de Pesquisa, 37(132), 641-659.
Simões, B. S., & Custódio, J. F. (2020). A evasão em uma Licenciatura em Física: Um olhar para as relações com o saber. Research, Society and Development, 9(5). Disponível em: <https://rsd.unifei.edu.br/index.php/rsd/article/view/3207/2383>.
Sittichai, R. (2012). Why are there dropouts among university students? Experiences in a Thai University. International Journal of Educational Development, 32, 283-289.
Tamin, S. (2013). Relevance of mental health issues in university student dropouts. Occupational Medicine, 63, 410-414.
Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89-125.
Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition. Chicago: University of Chicago Press.
Tontini, G., & Walter, S. A. (2014). Pode-se identificar a propensão e reduzir a evasão de alunos? Ações estratégicas e resultados táticos para instituições de ensino superior. Avaliação, 19(1), 89-110.
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