IDEAS home Printed from https://ideas.repec.org/a/ucp/ecdecc/doi10.1086-726064.html

Isolating the “Tech” from EdTech: Experimental Evidence on Computer-Assisted Learning in China

Author

Listed:
  • Yue Ma
  • Robert Fairlie
  • Prashant Loyalka
  • Scott Rozelle

Abstract

EdTech, which includes computer-assisted learning (CAL), online education, and remote instruction, was expanding rapidly even before the COVID-19 pandemic. Studies of CAL interventions often find positive effects; however, these “CAL programs” often include non-technology-based inputs such as more time spent on learning and additional instructional support by facilitators. In this paper, we discuss the possible channels by which CAL programs affect academic outcomes among schoolchildren. We isolate the technology-based effects of CAL from the total program effects by designing and performing a novel multitreatment field experiment in rural China. For the full sample, we find null effects for both the total CAL program and the technology-based effects of CAL on math test scores. For boys, however, we find a positive and statistically significant effect of the CAL program but do not find evidence of a positive effect for the technology-based effect of CAL. When focusing on grades, we find evidence of positive CAL program effects but find null effects when we isolate the technology-based effects of CAL. Our empirical results suggest that the “Tech” in EdTech may have relatively small additional effects on academic outcomes, yet tech programs can substitute at least to a certain extent for traditional learning.

Suggested Citation

  • Yue Ma & Robert Fairlie & Prashant Loyalka & Scott Rozelle, 2024. "Isolating the “Tech” from EdTech: Experimental Evidence on Computer-Assisted Learning in China," Economic Development and Cultural Change, University of Chicago Press, vol. 72(4), pages 1923-1962.
  • Handle: RePEc:ucp:ecdecc:doi:10.1086/726064
    DOI: 10.1086/726064
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/726064
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/726064
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/726064?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Nayyar, Gaurav & Pleninger, Regina & Vorisek, Dana & Yu, Shu, 2024. "Digitalization and Inclusive Growth : A Review of the Evidence," Policy Research Working Paper Series 10941, The World Bank.
    3. Bin Tang & Te-Tien Ting & Chyi-In Wu & Yue Ma & Di Mo & Wei-Ting Hung & Scott Rozelle, 2020. "The Impact of Online Computer Assisted Learning at Home for Disadvantaged Children in Taiwan: Evidence from a Randomized Experiment," Sustainability, MDPI, vol. 12(23), pages 1-16, December.
    4. Lafortune, Jeanne & Pugatch, Todd & Tessada, José & Ubfal, Diego, 2024. "Can gamified online training make high school students more entrepreneurial? Experimental evidence from Rwanda," Economics of Education Review, Elsevier, vol. 101(C).
    5. Tianli Feng & Xiyuan Jia & Lucy Pappas & Xiaojun Zheng & Teresa Shao & Letao Sun & Charlie Weisberg & Madeline Lu Li & Scott Rozelle & Yue Ma, 2022. "Academic Performance and the Link with Depressive Symptoms among Rural Han and Minority Chinese Adolescents," IJERPH, MDPI, vol. 19(10), pages 1-20, May.
    6. Araya, Roberto & Arias Ortiz, Elena & Bottan, Nicolas & Cristia, Julian, 2025. "Integrating learning platforms within regular school time: experimental evidence from Chilean primary schools," Economics of Education Review, Elsevier, vol. 106(C).
    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. Hojun Lee & Youngsik Kim, 2023. "Exploring the Effects of Computer and Smart Device-Assisted Learning on Students’ Achievements: Empirical Evidence from Korea," Sustainability, MDPI, vol. 15(17), pages 1-16, September.

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

    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:ucp:ecdecc:doi:10.1086/726064. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/EDCC .

    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.