IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/25483.html
   My bibliography  Save this paper

Does the Way in which Students Use Computers Matter for their Performance?

Author

Listed:
  • Ponzo, Michela

Abstract

In this paper we investigate possible differences in student performance depending on the frequency and the type of computer usage both at home and at school of 15-years-old Italian students. Using the PISA 2006 dataset and controlling for a wide range of individual and school characteristics, our results suggest that students using the computer at home very often obtain higher test scores than those who never use it. More importantly, we find a significant positive correlation between student achievement and the use of computer at home as educational/learning device. Focusing on the frequency of computer usage at school, it emerges that student achievement increases with the intensity of computer use but the effect becomes smaller the more often they use the computer and even negative when students use the computer at school almost every day

Suggested Citation

  • Ponzo, Michela, 2010. "Does the Way in which Students Use Computers Matter for their Performance?," MPRA Paper 25483, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:25483
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/25483/1/MPRA_paper_25483.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Borghans, Lex & ter Weel, Bas, 2004. "Are computer skills the new basic skills? The returns to computer, writing and math skills in Britain," Labour Economics, Elsevier, vol. 11(1), pages 85-98, February.
    2. Rouse, Cecilia Elena & Krueger, Alan B., 2004. "Putting computerized instruction to the test: a randomized evaluation of a "scientifically based" reading program," Economics of Education Review, Elsevier, vol. 23(4), pages 323-338, August.
    3. Thomas Fuchs & Ludger Wossmann, 2004. "Computers and student learning: bivariate and multivariate evidence on the availability and use of computers at home and at school," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 47(3-4), pages 359-386.
    4. Bratti, Massimiliano & Checchi, Daniele & Filippin, Antonio, 2007. "Territorial Differences in Italian Students’ Mathematical Competencies: Evidence from PISA 2003," IZA Discussion Papers 2603, Institute of Labor Economics (IZA).
    5. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    6. M. De Paola & V. Scoppa, 2007. "Returns to skills, incentives to study and optimal educational standards," Journal of Economics, Springer, vol. 92(3), pages 229-262, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ferraro, Simona, 2018. "Is information and communication technology satisfying educational needs at school?," MPRA Paper 86175, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas Fuchs & Ludger Wößmann, 2005. "Computer können das Lernen behindern," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(18), pages 16-23, September.
    2. Stephen Machin & Sandra McNally & Olmo Silva, 2007. "New Technology in Schools: Is There a Payoff?," Economic Journal, Royal Economic Society, vol. 117(522), pages 1145-1167, July.
    3. Thomas Fuchs & Ludger Wossmann, 2004. "Computers and student learning: bivariate and multivariate evidence on the availability and use of computers at home and at school," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 47(3-4), pages 359-386.
    4. Bulman, George & Fairlie, Robert W, 2015. "Technology and Education: Computers, Software, and the Internet," Santa Cruz Department of Economics, Working Paper Series qt5265z87t, Department of Economics, UC Santa Cruz.
    5. Nerea Gómez-Fernández & Mauro Mediavilla, 2018. "Do information and communication technologies (ICT) improve educational outcomes? Evidence for Spain in PISA 2015," Working Papers 2018/20, Institut d'Economia de Barcelona (IEB).
    6. Catherine Rodríguez Orgales & Fabio Sánchez Torres & Juliana Márquez Zúñiga, 2011. "Impacto del Programa Computadores para Educar" en la deserción estudiantil, el logro escolar y el ingreso a la educación superior"," Documentos CEDE 8744, Universidad de los Andes, Facultad de Economía, CEDE.
    7. Eric Bettinger & Robert Fairlie & Anastasia Kapuza & Elena Kardanova & Prashant Loyalka & Andrey Zakharov, 2023. "Diminishing Marginal Returns to Computer‐Assisted Learning," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(2), pages 552-570, March.
    8. Comi, Simona Lorena & Argentin, Gianluca & Gui, Marco & Origo, Federica & Pagani, Laura, 2017. "Is it the way they use it? Teachers, ICT and student achievement," Economics of Education Review, Elsevier, vol. 56(C), pages 24-39.
    9. Beltran, Daniel O. & Das, Kuntal K. & Fairlie, Robert W., 2006. "Do Home Computers Improve Educational Outcomes? Evidence from Matched Current Population Surveys and the National Longitudinal Survey of Youth 1997," IZA Discussion Papers 1912, Institute of Labor Economics (IZA).
    10. Gómez-Fernández, Nerea & Mediavilla, Mauro, 2021. "Exploring the relationship between Information and Communication Technologies (ICT) and academic performance: A multilevel analysis for Spain," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    11. Di Mo & Linxiu Zhang & Renfu Luo & Qinghe Qu & Weiming Huang & Jiafu Wang & Yajie Qiao & Matthew Boswell & Scott Rozelle, 2014. "Integrating computer-assisted learning into a regular curriculum: evidence from a randomised experiment in rural schools in Shaanxi," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 300-323, September.
    12. Lai, Fang & Luo, Renfu & Zhang, Linxiu & Huang, Xinzhe & Rozelle, Scott, 2015. "Does computer-assisted learning improve learning outcomes? Evidence from a randomized experiment in migrant schools in Beijing," Economics of Education Review, Elsevier, vol. 47(C), pages 34-48.
    13. Cristina Vilaplana Prieto, 2014. "Evaluación del programa Escuela 2.0 para la asignatura de Matemáticas a partir de PISA 2012," Investigaciones de Economía de la Educación volume 9, in: Adela García Aracil & Isabel Neira Gómez (ed.), Investigaciones de Economía de la Educación 9, edition 1, volume 9, chapter 33, pages 631-652, Asociación de Economía de la Educación.
    14. Carlo Cambini & Lorien Sabatino & Sarah Zaccagni, 2021. "The Faster the Better? The Effect of Ultra-Fast Broadband on Students’ Performance," CEBI working paper series 21-14, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    15. World Bank, 2005. "Mexico : Determinants of Learning Policy Note," World Bank Publications - Reports 8284, The World Bank Group.
    16. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    17. Bet, German & Cristia, Julián P. & Ibarrarán, Pablo, 2014. "The Effects of Shared School Technology Access on Students Digital Skills in Peru," IZA Discussion Papers 7954, Institute of Labor Economics (IZA).
    18. Benjamin Faber & Rosa Sanchis-Guarner & Felix Weinhardt, 2015. "ICT and Education: Evidence from Student Home Addresses," SERC Discussion Papers 0186, Centre for Economic Performance, LSE.
    19. Bergman, Peter & Rogers, Todd, 2017. "The Impact of Defaults on Technology Adoption, and Its Underappreciation by Pollicymakers," Working Paper Series rwp17-021, Harvard University, John F. Kennedy School of Government.
    20. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.

    More about this item

    Keywords

    Educational production function; Computers at home; Computers at school; Students achievement; PISA.;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:25483. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.