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Computers as Pedagogical Tools in Brazil: A Pseudo-panel Analysis

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  • Sprietsma, Maresa

Abstract

In this paper, we use repeated cross-section data on pupils in Brazil to estimate the effect of the availability and use of computers and internet as pedagogical tools on math and reading test scores. Computers are increasingly commonly used in schools and their effectiveness in improving learning is the subject of many recent evaluations in Europe and the US. We apply the pseudo panel technique to evaluate the effect of variation in the availability and use of computers and internet in Brazilian schools on pupils? test scores.

Suggested Citation

  • Sprietsma, Maresa, 2007. "Computers as Pedagogical Tools in Brazil: A Pseudo-panel Analysis," ZEW Discussion Papers 07-040, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:5699
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    Cited by:

    1. Alderete, María Verónica & Formichella, María Marta, 2016. "The effect of ICTs on academic achievement: the Conectar Igualdad programme in Argentina," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    2. Marie Hyland & Richard Layte & Seán Lyons & Selina McCoy & Mary Silles, 2015. "Are Classroom Internet Use and Academic Performance Higher after Government Broadband Subsidies to Primary Schools?," The Economic and Social Review, Economic and Social Studies, vol. 46(3), pages 399-428.
    3. Hernan Galperin & M. Fernanda Viecens, 2017. "Connected for Development? Theory and evidence about the impact of Internet technologies on poverty alleviation," Development Policy Review, Overseas Development Institute, vol. 35(3), pages 315-336, May.
    4. Kho, Kevin & Lakdawala, Leah & Nakasone, Eduardo, 2018. "Impact of Internet Access on Student Learning in Peruvian Schools," Working Papers 2018-3, Michigan State University, Department of Economics.
    5. Malamud, Ofer & Cueto, Santiago & Cristia, Julian & Beuermann, Diether W., 2019. "Do children benefit from internet access? Experimental evidence from Peru," Journal of Development Economics, Elsevier, vol. 138(C), pages 41-56.
    6. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.

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    More about this item

    Keywords

    Computers in schools; pupil performance;

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General

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