IDEAS home Printed from https://ideas.repec.org/p/cep/cepdps/dp1908.html
   My bibliography  Save this paper

Online tutoring works: experimental evidence from a program with vulnerable children

Author

Listed:
  • Lucas Gortazar
  • Claudia Hupkau
  • Antonio Roldan

Abstract

We provide evidence from a randomized controlled trial on the effectiveness of a novel, 100-percent online math tutoring program, targeted at secondary school students from highly disadvantaged neighborhoods. The intensive, eight-week-long program was delivered by qualified math teachers in groups of two students during after-school hours. The intervention significantly increased standardized test scores (+0.26 SD) and end-of-year math grades (+0.48 SD), while reducing the probability of repeating the school year. The intervention also raised aspirations, as well as self-reported effort at school.

Suggested Citation

  • Lucas Gortazar & Claudia Hupkau & Antonio Roldan, 2023. "Online tutoring works: experimental evidence from a program with vulnerable children," CEP Discussion Papers dp1908, Centre for Economic Performance, LSE.
  • Handle: RePEc:cep:cepdps:dp1908
    as

    Download full text from publisher

    File URL: https://cep.lse.ac.uk/pubs/download/dp1908.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    2. Will Dobbie & Roland G. Fryer Jr., 2013. "Getting beneath the Veil of Effective Schools: Evidence from New York City," American Economic Journal: Applied Economics, American Economic Association, vol. 5(4), pages 28-60, October.
    3. Matthew A. Kraft & John A. List & Jeffrey A. Livingston & Sally Sadoff, 2022. "Online Tutoring by College Volunteers: Experimental Evidence from a Pilot Program," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 614-618, May.
    4. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    5. Noam Angrist & Peter Bergman & Moitshepi Matsheng, 2022. "Experimental evidence on learning using low-tech when school is out," Nature Human Behaviour, Nature, vol. 6(7), pages 941-950, July.
    6. Andre Nickow & Philip Oreopoulos & Vincent Quan, 2020. "The Impressive Effects of Tutoring on PreK-12 Learning: A Systematic Review and Meta-Analysis of the Experimental Evidence," NBER Working Papers 27476, National Bureau of Economic Research, Inc.
    7. Carlana, Michela & La Ferrara, Eliana, 2021. "Apart but Connected: Online Tutoring and Student Outcomes during the COVID-19 Pandemic," CEPR Discussion Papers 15761, C.E.P.R. Discussion Papers.
    8. Paulo Santiago, 2002. "Teacher Demand and Supply: Improving Teaching Quality and Addressing Teacher Shortages," OECD Education Working Papers 1, OECD Publishing.
    9. Bastian A. Betthäuser & Anders M. Bach-Mortensen & Per Engzell, 2023. "A systematic review and meta-analysis of the evidence on learning during the COVID-19 pandemic," Nature Human Behaviour, Nature, vol. 7(3), pages 375-385, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Harry Anthony Patrinos, 2022. "Learning loss and learning recovery," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 49(2), pages 183-188, June.
    2. Katharina Werner & Ludger Woessmann, 2021. "The Legacy of Covid-19 in Education," CESifo Working Paper Series 9358, CESifo.
    3. de Ree, Joppe & Maggioni, Mario A. & Paulle, Bowen & Rossignoli, Domenico & Ruijs, Nienke & Walentek, Dawid, 2023. "Closing the income-achievement gap? Experimental evidence from high-dosage tutoring in Dutch primary education," Economics of Education Review, Elsevier, vol. 94(C).
    4. Hardt, David & Nagler, Markus & Rincke, Johannes, 2023. "Tutoring in (online) higher education: Experimental evidence," Economics of Education Review, Elsevier, vol. 92(C).
    5. Wang, Liang Choon & Vlassopoulos, Michael & Islam, Asad & Hassan, Hashibul, 2023. "Delivering Remote Learning Using a Low-Tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh," IZA Discussion Papers 15920, Institute of Labor Economics (IZA).
    6. Bonesrønning, Hans & Finseraas, Henning & Hardoy, Ines & Iversen, Jon Marius Vaag & Nyhus, Ole Henning & Opheim, Vibeke & Salvanes, Kari Vea & Sandsør, Astrid Marie Jorde & Schøne, Pål, 2022. "Small-group instruction to improve student performance in mathematics in early grades: Results from a randomized field experiment," Journal of Public Economics, Elsevier, vol. 216(C).
    7. Sauermann, Jan, 2015. "Worker Reciprocity and the Returns to Training: Evidence from a Field Experiment," IZA Discussion Papers 9179, Institute of Labor Economics (IZA).
    8. Emily Beam & Priya Mukherjee & Laia Navarro-Sola, 2022. "Lowering Barriers to Remote Education: Experimental Impacts on Parental Responses and Learning," Working Papers 2022-030, Human Capital and Economic Opportunity Working Group.
    9. Verónica Cabezas & José Ignacio Cuesta & Francisco Gallego, 2021. "Does Short-Term School Tutoring have Medium-Term Effects? Experimental Evidence from Chile," Documentos de Trabajo 565, Instituto de Economia. Pontificia Universidad Católica de Chile..
    10. Anna Adamecz & Morag Henderson & Nikki Shure, 2024. "Intergenerational educational mobility – The role of non-cognitive skills," Education Economics, Taylor & Francis Journals, vol. 32(1), pages 59-78, January.
    11. Alain Trannoy, 2016. "Equality of Opportunity: A progress report," Revue d'économie politique, Dalloz, vol. 126(5), pages 621-651.
    12. Florian Schoner & Lukas Mergele & Larissa Zierow, 2021. "Grading Student Behavior," CESifo Working Paper Series 9275, CESifo.
    13. Nicholas W. Papageorge & Seth Gershenson & Kyung Min Kang, 2020. "Teacher Expectations Matter," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 234-251, May.
    14. Hashibul Hassan & Asad Islam & Abu Siddique & Liang Choon Wang, 2021. "Telementoring and homeschooling during school closures: A randomized experiment in rural Bangladesh," Munich Papers in Political Economy 13, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    15. Abhijeet Singh & Mauricio Romero & Karthik Muralidharan, 2022. "Covid-19 Learning Loss and Recovery: Panel Data Evidence from India," NBER Working Papers 30552, National Bureau of Economic Research, Inc.
    16. Bharti, Nitin Kumar & Roy, Sutanuka, 2023. "The early origins of judicial stringency in bail decisions: Evidence from early childhood exposure to Hindu-Muslim riots in India," Journal of Public Economics, Elsevier, vol. 221(C).
    17. Schlosser, Analia & Shanan, Yannay, 2022. "Fostering Soft Skills in Active Labor Market Programs: Evidence from a Large-Scale RCT," IZA Discussion Papers 15104, Institute of Labor Economics (IZA).
    18. Boruchowicz, Cynthia & Parker, Susan W. & Robbins, Lindsay, 2022. "Time use of youth during a pandemic: Evidence from Mexico," World Development, Elsevier, vol. 149(C).
    19. Sakaue, Katsuki & Wokadala, James & Ogawa, Keiichi, 2023. "Effect of parental engagement on children’s home-based continued learning during COVID-19–induced school closures: Evidence from Uganda," International Journal of Educational Development, Elsevier, vol. 100(C).
    20. Dennis Epple & Francisco Martinez-Mora & Richard Romano, 2021. "Charter School Practices and Student Selection: An Equilibrium Analysis," NBER Working Papers 29529, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Schools; online tutoring; mentoring; RCT; mathematics; child outcomes;
    All these keywords.

    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:cep:cepdps:dp1908. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: the person in charge (email available below). General contact details of provider: https://cep.lse.ac.uk/_new/publications/discussion-papers/ .

    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.