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Efetividade no Ensino Superior Brasileiro:Aplicação de Modelos Multinível À Análise dos Resultados do Exame Nacional de Cursos

Author

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  • Maria Dolores Montoya Diaz

    (UNIVERSIDADE DE SÃO PAULO)

Abstract

Este estudo tem por objetivo analisar o impacto de características institucionais sobre o desempenho dos alunos no Exame Nacional de Cursos (Provão). Uma amostra de mais de 74.000 alunos das áreas de Administração, Direito e Engenharia Civil que realizaram os exames no ano de 2000 foi analisada. Foram estimados modelos multinível, pois estes dados apresentam uma nítida estrutura hierárquica. Relativamente aos aspectos individuais, verificou-se a existência de um padrão não-linear na relação entre a condição econômica dos alunos e o seu desempenho. A contribuição de níveis superiores de renda sobre o desempenho dos alunos possui um limite, a partir do qual, observam-se, inclusive, impactos negativos. Em relação aos aspectos institucionais, encontraram-se efeitos positives provenientes da maior qualificação e das melhores condições de trabalho para o corpo docente e da utilização de atividades de pesquisa como estratégia de ensino/aprendizagem. A participação em atividades de extensão, além de afetar positivamente o desempenho dos alunos, gera um efeito atenuador sobre o impacto negativo resultante da condição socioeconômica desfavorável do aluno. Verificou-se que se o aluno tinha uma renda familiar até R$ 454,00, seu desempenho, em média, tenderia a ser 3,6 pontos inferior ao de alunos com renda familiar superior a R$ 7.550,00. Porém, se ele participar de atividades de extensão essa diferença se reduzirá para aproximadamente 2 pontos e, se todos os docentes mostrarem empenho e dedicação, a diferença se situará na faixa de 1 ponto.

Suggested Citation

  • Maria Dolores Montoya Diaz, 2007. "Efetividade no Ensino Superior Brasileiro:Aplicação de Modelos Multinível À Análise dos Resultados do Exame Nacional de Cursos," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 8(1), pages 93-120.
  • Handle: RePEc:anp:econom:v:8:y:2007:i:1:p:93-120
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    References listed on IDEAS

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    1. Hanushek, Eric A & Rivkin, Steven G & Taylor, Lori L, 1996. "Aggregation and the Estimated Effects of School Resources," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 611-627, November.
    2. Anne Case & Angus Deaton, 1999. "School Inputs and Educational Outcomes in South Africa," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 1047-1084.
    3. Belfield, C. R. & Fielding, A., 2001. "Measuring the relationship between resources and outcomes in higher education in the UK," Economics of Education Review, Elsevier, vol. 20(6), pages 589-602, December.
    4. Duncan, Craig & Jones, Kelvyn & Moon, Graham, 1998. "Context, composition and heterogeneity: Using multilevel models in health research," Social Science & Medicine, Elsevier, vol. 46(1), pages 97-117, January.
    5. Harvey Goldstein & Min Yang & Rumana Omar & Rebecca Turner & Simon Thompson, 2000. "Meta‐analysis using multilevel models with an application to the study of class size effects," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(3), pages 399-412.
    6. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    7. Nigel Rice & Andrew Jones, 1997. "Multilevel models and health economics," Health Economics, John Wiley & Sons, Ltd., vol. 6(6), pages 561-575, November.
    8. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    9. Ladd, Helen F. & Walsh, Randall P., 2002. "Implementing value-added measures of school effectiveness: getting the incentives right," Economics of Education Review, Elsevier, vol. 21(1), pages 1-17, February.
    10. Christian Dustmann, 2003. "The Class Size Debate and Educational Mechanisms: Editorial," Economic Journal, Royal Economic Society, vol. 113(485), pages 1-2, February.
    11. Maria Dolores Montoya Diaz, 1999. "Extended stay at university: an application of multinomial logit and duration models," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1411-1422.
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    More about this item

    Keywords

    Ensino Superior; Modelos Multinível; Provão; Efetividade Institucional;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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