IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v92y2023ics0272775722001042.html
   My bibliography  Save this article

The effect of goal-setting prompts in a blended learning environment—evidence from a field experiment

Author

Listed:
  • Amann, Erwin
  • Rzepka, Sylvi

Abstract

Previous literature has shown that task-based goal-setting and distributed learning is beneficial to university-level course performance. We investigate the effects of making these insights salient to students by sending out goal-setting prompts in a blended learning environment with bi-weekly quizzes. The randomized field experiment in a large mandatory economics course shows promising results: the treated students outperform the control group. They are 18.8% (0.20 SD) more likely to pass the exam and earn 6.7% (0.19 SD) more points on the exam. While we cannot causally disentangle the effects of goal-setting from the prompt sent, we observe that treated students use the online learning platform earlier in the semester and attempt more online exercises compared to the control group. The heterogeneity analysis suggests that higher treatment effects are associated with low performance at the beginning of the course.

Suggested Citation

  • Amann, Erwin & Rzepka, Sylvi, 2023. "The effect of goal-setting prompts in a blended learning environment—evidence from a field experiment," Economics of Education Review, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:ecoedu:v:92:y:2023:i:c:s0272775722001042
    DOI: 10.1016/j.econedurev.2022.102331
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775722001042
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2022.102331?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cobb-Clark, Deborah A. & Schurer, Stefanie, 2012. "The stability of big-five personality traits," Economics Letters, Elsevier, vol. 115(1), pages 11-15.
    2. Damon Clark & David Gill & Victoria Prowse & Mark Rush, 2020. "Using Goals to Motivate College Students: Theory and Evidence From Field Experiments," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 648-663, October.
    3. Frondel, Manuel & Osberghaus, Daniel & Sommer, Stephan, 2021. "Corona and the stability of personal traits and preferences: Evidence from Germany," Ruhr Economic Papers 903, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    5. Ralph Stinebrickner & Todd Stinebrickner, 2014. "Academic Performance and College Dropout: Using Longitudinal Expectations Data to Estimate a Learning Model," Journal of Labor Economics, University of Chicago Press, vol. 32(3), pages 601-644.
    6. Vischer, Thomas & Dohmen, Thomas & Falk, Armin & Huffman, David & Schupp, Jürgen & Sunde, Uwe & Wagner, Gert G., 2013. "Validating an ultra-short survey measure of patience," Economics Letters, Elsevier, vol. 120(2), pages 142-145.
    7. Stefan Wager & Susan Athey, 2018. "Estimation and Inference of Heterogeneous Treatment Effects using Random Forests," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1228-1242, July.
    8. Deborah A. Cobb‐Clark & Stefanie Schurer, 2013. "Two Economists' Musings on the Stability of Locus of Control," Economic Journal, Royal Economic Society, vol. 0, pages 358-400, August.
    9. Oliver Himmler & Robert Jäckle & Philipp Weinschenk, 2019. "Soft Commitments, Reminders, and Academic Performance," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 114-142, April.
    10. Maya Escueta & Andre Joshua Nickow & Philip Oreopoulos & Vincent Quan, 2020. "Upgrading Education with Technology: Insights from Experimental Research," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 897-996, December.
    11. David Figlio & Mark Rush & Lu Yin, 2013. "Is It Live or Is It Internet? Experimental Estimates of the Effects of Online Instruction on Student Learning," Journal of Labor Economics, University of Chicago Press, vol. 31(4), pages 763-784.
    12. Lent Max van, 2019. "Goal Setting, Information, and Goal Revision: A Field Experiment," German Economic Review, De Gruyter, vol. 20(4), pages 949-972, December.
    13. Max van Lent, 2019. "Goal Setting, Information, and Goal Revision: A Field Experiment," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 949-972, November.
    14. Lavecchia, A.M. & Liu, H. & Oreopoulos, P., 2016. "Behavioral Economics of Education," Handbook of the Economics of Education,, Elsevier.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Patrick Rehill, 2024. "How do applied researchers use the Causal Forest? A methodological review of a method," Papers 2404.13356, arXiv.org.
    2. Patrick Rehill, 2024. "Distilling interpretable causal trees from causal forests," Papers 2408.01023, arXiv.org.

    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. Nicholas A. Wright & Puneet Arora & Jesse Wright, 2024. "I Promise to Work Hard: The Impact of a Non-Binding Commitment Pledge on Academic Performance," Working Papers 2411, Florida International University, Department of Economics.
    2. Nafziger, Julia & Kaiser, Jonas P. & Koch, Alexander K, 2021. "Self-Set Goals Are Effective Self-Regulation Tools -- Despite Goal Revision," CEPR Discussion Papers 15716, C.E.P.R. Discussion Papers.
    3. van Lent, Max & Souverijn, Michiel, 2020. "Goal setting and raising the bar: A field experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 87(C).
    4. 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).
    5. Andor, Mark A. & Fels, Katja M. & Renz, Jan & Rzepka, Sylvi, 2018. "Do planning prompts increase educational success? Evidence from randomized controlled trials in MOOCs," Ruhr Economic Papers 790, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Preuss, Malte, 2021. "Intra-individual stability of two survey measures on forward-looking attitude," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 201-227.
    7. Oreopoulos, Philip & Petronijevic, Uros & Logel, Christine & Beattie, Graham, 2020. "Improving non-academic student outcomes using online and text-message coaching," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 342-360.
    8. James Fan & Joaquín Gómez‐Miñambres & Samuel Smithers, 2020. "Make it too difficult, and I'll give up; let me succeed, and I'll excel: The interaction between assigned and personal goals," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 964-975, September.
    9. Friehe, Tim & Pannenberg, Markus, 2019. "Overconfidence over the lifespan: Evidence from Germany," Journal of Economic Psychology, Elsevier, vol. 74(C).
    10. Frondel, Manuel & Osberghaus, Daniel & Sommer, Stephan, 2021. "Corona and the stability of personal traits and preferences: Evidence from Germany," Ruhr Economic Papers 903, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Raphael Brade & Oliver Himmler & Robert Jaeckle & Philipp Weinschenk, 2024. "Helping Students to Succeed – The Long-Term Effects of Soft Commitments and Reminders," CESifo Working Paper Series 11001, CESifo.
    12. Erwin Amann & Sylvi Rzepka, 2021. "The Effect of Goal-Setting Prompts in a Blended Learning Environment – Evidence from a Field Experiment," CEPA Discussion Papers 25, Center for Economic Policy Analysis.
    13. 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.
    14. Pannenberg, Markus & Friehe, Tim, 2019. "Does it really get better with age? Life-cycle patterns of confidence in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203497, Verein für Socialpolitik / German Economic Association.
    15. Wagner, Valentin, 2022. "Heterogeneous effects of grade framing," Labour Economics, Elsevier, vol. 74(C).
    16. Marco Caliendo & Frank M. Fossen & Alexander Kritikos & Miriam Wetter, 2015. "The Gender Gap in Entrepreneurship: Not just a Matter of Personality," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 202-238.
    17. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    18. Pons Rotger, Gabriel & Rosholm, Michael, 2020. "The Role of Beliefs in Long Sickness Absence: Experimental Evidence from a Psychological Intervention," IZA Discussion Papers 13582, Institute of Labor Economics (IZA).
    19. Caliendo, Marco & Künn, Steffen & Weißenberger, Martin, 2016. "Personality traits and the evaluation of start-up subsidies," European Economic Review, Elsevier, vol. 86(C), pages 87-108.
    20. Sofia Badini & Esther Gehrke & Friederike Lenel & Claudia Schupp, 2024. "Expanding Horizons A Randomized Controlled Trial on Adolescents’ Career Information Acquisition," CESifo Working Paper Series 11225, CESifo.

    More about this item

    Keywords

    Natural field experiment; Blended learning; Behavioral economics; Goalsetting;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    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:eee:ecoedu:v:92:y:2023:i:c:s0272775722001042. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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.