IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/11144.html
   My bibliography  Save this paper

Effects of COVID-19 on Student Learning : Assessing Learning Losses Using Adaptive Technology

Author

Listed:
  • Baron, Juan
  • Mola,José
  • Pineda, Astrid Camille
  • Polanco Santos, Paola Patricia

Abstract

This paper quantifies learning losses between 2020 and 2022 in the Dominican Republic, an upper-middle-income country. The paper uses data from a sample of ninth-grade students who benefited from computer adaptive learning software during this period. This study is among a few to measure actual losses among secondary school students, and it is the first to use detailed data on students’ mastery of individual math topics to do so. The findings show no evidence of learning losses in our analysis sample. However, the paper documents concerningly low learning levels, with the average student mastering only 45 percent of pre-requisite topics for their grade. These results should be interpreted with caution, as they are based on a select sample of urban schools and may not fully reflect broader educational trends across the country.

Suggested Citation

  • Baron, Juan & Mola,José & Pineda, Astrid Camille & Polanco Santos, Paola Patricia, 2025. "Effects of COVID-19 on Student Learning : Assessing Learning Losses Using Adaptive Technology," Policy Research Working Paper Series 11144, The World Bank.
    • Handle: RePEc:wbk:wbrwps:11144
    as

    Download full text from publisher

    File URL: https://documents.worldbank.org/curated/en/099315506122535067/pdf/IDU-b49e38bb-175d-434e-933d-d83d39a5e8bd.pdf
    Download Restriction: no
    ---><---

    More about this item

    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:wbk:wbrwps:11144. 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: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.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.