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Technology's Edge: The Educational Benefits of Computer-Aided Instruction

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  • Lisa Barrow
  • Lisa Markman
  • Cecilia Elena Rouse

Abstract

We present results from a randomized study of a well-defined use of computers in schools, a popular instructional computer program for pre-algebra and algebra. We primarily assess the program using a test designed to target pre-algebra and algebra skills. Students randomly assigned to computer-aided instruction score significantly higher on a pre-algebra and algebra test than students randomly assigned to traditional instruction. We hypothesize that this effectiveness arises from increased individualized instruction as the effects appear larger for students in larger classes and in classes with high student absentee rates. (JEL H75, I21)

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Bibliographic Info

Article provided by American Economic Association in its journal American Economic Journal: Economic Policy.

Volume (Year): 1 (2009)
Issue (Month): 1 (February)
Pages: 52-74

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Handle: RePEc:aea:aejpol:v:1:y:2009:i:1:p:52-74

Note: DOI: 10.1257/pol.1.1.52
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References

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  1. Cecilia E. Rouse & Alan B. Krueger, 2004. "Putting Computerized Instruction to the Test: A Randomized Evaluation of a "Scientifically-based" Reading Program," NBER Working Papers 10315, National Bureau of Economic Research, Inc.
  2. 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.
  3. Stephen Machin & Sandra McNally & Olmo Silva, 2006. "New technology in schools: is there a payoff?," LSE Research Online Documents on Economics 3652, London School of Economics and Political Science, LSE Library.
  4. Esther Duflo & Abhijit Banerjee & Shawn Cole & Leigh Linden, 2006. "Remedying Education: Evidence from Two Randomised Experiments in India," Working Papers id:360, eSocialSciences.
  5. Stephen Machin & Sandra McNally & Olmo Silva, 2006. "New Technology in Schools: Is There a Payoff?," CEE Discussion Papers 0055, Centre for the Economics of Education, LSE.
  6. Grogger, Jeff, 1996. "Does School Quality Explain the Recent Black/White Wage Trend?," Journal of Labor Economics, University of Chicago Press, vol. 14(2), pages 231-53, April.
  7. David N. Figlio & Cecilia Rouse, 2005. "Do Accountability and Voucher Threats Improve Low-Performing Schools?," NBER Working Papers 11597, National Bureau of Economic Research, Inc.
  8. Austan Goolsbee & Jonathan Guryan, 2002. "The Impact of Internet Subsidies in Public Schools," NBER Working Papers 9090, National Bureau of Economic Research, Inc.
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Citations

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Cited by:
  1. Robert W. Fairlie & Jonathan Robinson, 2013. "Experimental Evidence on the Effects of Home Computers on Academic Achievement among Schoolchildren," CESifo Working Paper Series 4128, CESifo Group Munich.
  2. Marchionni, Mariana & Pinto, Florencia & Vazquez, Emmanuel, 2013. "Determinantes de la desigualdad en el desempeño educativo en la Argentina
    [Determinants of the inequality in PISA test scores in Argentina]
    ," MPRA Paper 56421, University Library of Munich, Germany.
  3. Julian Cristia & Pablo Ibarraran & Santiago Cueto & Ana Santiago & Eugenio Severin, 2012. "Technology and Child Development: Evidence from the One Laptop per Child Program," Research Department Publications 4764, Inter-American Development Bank, Research Department.
  4. Wuppermann, Amelie Catherine, 2011. "Empirical Essays in Health and Education Economics," Munich Dissertations in Economics 13187, University of Munich, Department of Economics.
  5. Julie Berry Cullen & Steven D. Levitt & Erin Robertson & Sally Sadoff, 2013. "What Can Be Done to Improve Struggling High Schools?," Journal of Economic Perspectives, American Economic Association, vol. 27(2), pages 133-52, Spring.
  6. Robert W. Fairlie & Rebecca A. London, 2013. "The Effects of Home Computers on Educational Outcomes: Evidence from a Field Experiment with Community College Students," CESifo Working Paper Series 4523, CESifo Group Munich.
  7. Schwerdt, Guido & Wuppermann, Amelie C., 2011. "Is traditional teaching really all that bad? A within-student between-subject approach," Munich Reprints in Economics 19919, University of Munich, Department of Economics.
  8. Victor Lavy, 2010. "Do Differences in School's Instruction Time Explain International Achievement Gaps in Maths, Science and Language? Evidence from Developed and Developing Countries," CEE Discussion Papers 0118, Centre for the Economics of Education, LSE.
  9. Fiorini, M., 2010. "The effect of home computer use on children's cognitive and non-cognitive skills," Economics of Education Review, Elsevier, vol. 29(1), pages 55-72, February.
  10. 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 008744, UNIVERSIDAD DE LOS ANDES-CEDE.
  11. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009
    [Education Inequality in Argentina. An analysis based on PISA 2009 data]
    ," MPRA Paper 56420, University Library of Munich, Germany.
  12. Jonah Rockoff, 2009. "Field Experiments in Class Size from the Early Twentieth Century," Journal of Economic Perspectives, American Economic Association, vol. 23(4), pages 211-30, Fall.
  13. Susanna Loeb & Patrick J. McEwan, 2010. "Education Reforms," NBER Chapters, in: Targeting Investments in Children: Fighting Poverty When Resources are Limited, pages 145-178 National Bureau of Economic Research, Inc.
  14. Robert Fairlie & Jonathan Robinson, 2011. "The Effects of Home Computers on Educational Outcomes. Evidence from a Field Experiment with Schoolchildren," Working Papers 11-14, NET Institute, revised Sep 2011.

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