IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/me9ku_v1.html
   My bibliography  Save this paper

Whole-class, high-quality peer tutoring is achievable with minimal effort or expense for teachers

Author

Listed:
  • Reshetov, Denis

Abstract

One-on-one tutoring by adults is among the most effective educational interventions, yet it remains prohibitively costly to scale. Peer tutoring offers a promising alternative, with substantial evidence supporting its efficacy for both tutors and tutees, but implementing it often requires additional time, planning, and teacher training—barriers that limit adoption. This paper presents Slonig (https://slonig.org), a lightweight, open-source peer tutoring app designed to overcome these challenges by ensuring proper student matching, guiding tutor behavior with a built-in algorithm, and controlling quality through structured feedback and game theory mechanisms. Slonig enables scalable, same-age peer tutoring with minimal teacher oversight, no lesson preparation, and integrated training for student tutors. Pilot classroom implementations with peer-led onboarding demonstrated rapid adoption and usability across age groups. While further research is needed to quantify learning gains, these early results suggest that peer tutoring, when supported by well-designed software, can serve as an effective and scalable instructional method even in resource-constrained settings.

Suggested Citation

  • Reshetov, Denis, 2025. "Whole-class, high-quality peer tutoring is achievable with minimal effort or expense for teachers," OSF Preprints me9ku_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:me9ku_v1
    DOI: 10.31219/osf.io/me9ku_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/686964ef452aa067d39fef4c/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/me9ku_v1?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
    ---><---

    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:osf:osfxxx:me9ku_v1. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.