IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/24992.html

Improving Non-Academic Student Outcomes Using Online and Text-Message Coaching

Author

Listed:
  • Philip Oreopoulos
  • Uros Petronijevic
  • Christine Logel
  • Graham Beattie

Abstract

We design and experimentally evaluate two low-cost, scalable interventions – an online preparatory module and a text-message coaching program – in a sample of over 3,000 undergraduate students at a large Canadian university. Supplementing administrative data on academic outcomes with a unique follow-up survey on student well-being and study habits, we estimate positive program effects on students’ non-academic outcomes, despite estimating null effects on course grades and credit accumulation. Given the low costs associated with administering these programs, our results suggest that the positive impacts on student experiences may warrant program expansion even in the absence of impacts on academic outcomes.

Suggested Citation

  • Philip Oreopoulos & Uros Petronijevic & Christine Logel & Graham Beattie, 2018. "Improving Non-Academic Student Outcomes Using Online and Text-Message Coaching," NBER Working Papers 24992, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:24992
    Note: CH ED
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w24992.pdf
    Download Restriction: no
    ---><---

    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. Hardt, David & Nagler, Markus & Rincke, Johannes, 2022. "Can peer mentoring improve online teaching effectiveness? An RCT during the COVID-19 pandemic," Labour Economics, Elsevier, vol. 78(C).
    2. Hervelin Jérémy, 2022. "Directing young dropouts via SMS: evidence from a field experiment," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 12(1), pages 1-12, January.
    3. Philip Oreopoulos & Uros Petronijevic, 2019. "The Remarkable Unresponsiveness of College Students to Nudging And What We Can Learn from It," NBER Working Papers 26059, National Bureau of Economic Research, Inc.
    4. Barnes, Stephen & Beland, Louis-Philippe & Joshi, Swarup & Willage, Barton, 2022. "Staying out of trouble? Effect of high school career counseling on crime," Economics of Education Review, Elsevier, vol. 91(C).
    5. Alicia Brandt & Hamid R. Oskorouchi & Alfonso Sousa-Poza, 2024. "The effect of SMS nudges on higher education performance," Empirical Economics, Springer, vol. 66(5), pages 2311-2334, May.
    6. Bird, Kelli A. & Castleman, Benjamin L. & Denning, Jeffrey T. & Goodman, Joshua & Lamberton, Cait & Rosinger, Kelly Ochs, 2021. "Nudging at scale: Experimental evidence from FAFSA completion campaigns," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 105-128.
    7. Schoner, Florian & Mergele, Lukas & Zierow, Larissa, 2024. "Grading student behavior," Labour Economics, Elsevier, vol. 90(C).
    8. Gershoni, Naomi & Stryjan, Miri, 2023. "Do Deadlines Affect Project Completion? Experimental Evidence from Israeli Vocational Colleges," Journal of Economic Behavior & Organization, Elsevier, vol. 205(C), pages 359-375.
    9. Christine Logel & Philip Oreopoulos & Uros Petronijevic, 2021. "Experiences and Coping Strategies of College Students During the COVID-19 Pandemic," NBER Working Papers 28803, National Bureau of Economic Research, Inc.
    10. Alina Martinez & Tamara Linkow & Hannah Miller & Amanda Parsad & Cristofer Price, "undated". "Study of College Transition Messaging in GEAR UP: Impacts on Enrolling and Staying in College," Mathematica Policy Research Reports c6113480c8134325ac685ddd9, Mathematica Policy Research.

    More about this item

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:nbr:nberwo:24992. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.