IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp18307.html

Online Tutoring, School Performance, and School-to-Work Transitions: Evidence from a Randomized Controlled Trial

Author

Listed:
  • Anger, Silke

    (Institute for Employment Research (IAB), Nuremberg)

  • Christoph, Bernhard

    (Institute for Employment Research (IAB), Nuremberg)

  • Galkiewicz, Agata

    (University of Potsdam)

  • Margaryan, Shushanik

    (University of Potsdam)

  • Sandner, Malte

    (Technische Hochschule Nürnberg)

  • Siedler, Thomas

    (University of Potsdam)

Abstract

Tutoring programs for low-performing students, delivered in-person or online, effectively enhance school performance, yet their medium- and longer-term impacts on labor market outcomes remain less understood. To address this gap, we conduct a randomized controlled trial with 839 secondary school students in Germany to examine the effects of an online tutoring program for low-performing students on academic performance and school-to-work transitions. The online tutoring program had a non-significant intention-to-treat effect of 0.06 standard deviations on math grades six months after program start. However, among students who had not received other tutoring services prior to the intervention, the program significantly improved math grades by 0.14 standard deviations. Moreover, students in non-academic school tracks experienced smoother school-to-work transitions, with vocational training take-up 18 months later being 5 percentage points higher—an effect that was even larger (12 percentage points) among those without prior tutoring. Overall, the results indicate that tutoring can generate lasting benefits for low-performing students that extend beyond school performance.

Suggested Citation

  • Anger, Silke & Christoph, Bernhard & Galkiewicz, Agata & Margaryan, Shushanik & Sandner, Malte & Siedler, Thomas, 2025. "Online Tutoring, School Performance, and School-to-Work Transitions: Evidence from a Randomized Controlled Trial," IZA Discussion Papers 18307, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp18307
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp18307.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp18307. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.