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One-To-One Technology and Student Outcomes

Author

Listed:
  • Hull, Marie C.

    (University of North Carolina, Greensboro)

  • Duch, Katherine

    (One Minus Beta Analytics)

Abstract

New technologies offer many promises to improve student learning, but efforts to bring them to the classroom often fail to produce improvements to student outcomes. A notable exception to this pattern is one-to-one laptop programs. While early evaluations of these programs have been encouraging, they are costly to implement, and no study has investigated the impact of a one-to-one technology program implemented on a large scale over a multiyear period. With administrative school data, this paper uses a differences-in-differences strategy to evaluate the impact of a one-to-one laptop program implemented in a midsize school district. We find that while short-term impacts of the program were modest, math scores improved by 0.15–0.17 standard deviations in the medium term (4–5 years post-implementation). We also investigate heterogeneity in impacts on test scores and the impact of the program on several measures of student behavior.

Suggested Citation

  • Hull, Marie C. & Duch, Katherine, 2017. "One-To-One Technology and Student Outcomes," IZA Discussion Papers 10886, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp10886
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    References listed on IDEAS

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    Cited by:

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    2. Denis Fougère & Ghazala Azmat & Alexis Lermite & Clémence Lobut, 2022. "L’impact du numérique sur les apprentissages des élèves : évaluation d’une politique d’équipement à grande échelle. Ensemble des résultats au cycle 4," Working Papers halshs-03915750, HAL.
    3. Yue Ma & Robert W. Fairlie & Prashant Loyalka & Scott Rozelle, 2020. "Isolating the “Tech” from EdTech: Experimental Evidence on Computer Assisted Learning in China," NBER Working Papers 26953, National Bureau of Economic Research, Inc.
    4. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2019. "A laptop for every child? The impact of ICT on educational outcomes," Working Paper Series 2019:26, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    5. 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.

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    More about this item

    Keywords

    technology; computers; education; achievement; test score; time use;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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