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Rank Response Functions in an Online Learning Environment

Author

Listed:
  • Tim Klausmann

    (Johannes Gutenberg University Mainz)

  • Valentin Wagner

    (Johannes Gutenberg University Mainz)

  • Isabell Zipperle

    (Johannes Gutenberg University Mainz)

Abstract

We estimate rank response functions after receiving rank-order feedback in an online learning platform. We find that the shapes of the rank response functions depend on the outcome measure under consideration. For our effort measure, i.e., whether learners continue to interact with the platform, we can reject neither a linear nor a U-shaped rank response function. For our performance measure, i.e., correctly solved exercises, we find no clear pattern overall but suggestive evidence for a linearly decreasing rank response function for individuals in the lower half of the ability distribution, i.e., the lower the rank the lower the performance.

Suggested Citation

  • Tim Klausmann & Valentin Wagner & Isabell Zipperle, 2021. "Rank Response Functions in an Online Learning Environment," Working Papers 2111, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
  • Handle: RePEc:jgu:wpaper:2111
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    File URL: https://download.uni-mainz.de/RePEc/pdf/Discussion_Paper_2111.pdf
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    References listed on IDEAS

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    1. Hermes, Henning & Huschens, Martin & Rothlauf, Franz & Schunk, Daniel, 2021. "Motivating low-achievers—Relative performance feedback in primary schools," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 45-59.
    2. David Gill & Zdenka Kissová & Jaesun Lee & Victoria Prowse, 2019. "First-Place Loving and Last-Place Loathing: How Rank in the Distribution of Performance Affects Effort Provision," Management Science, INFORMS, vol. 65(2), pages 494-507, February.
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    4. Goulas, Sofoklis & Megalokonomou, Rigissa, 2021. "Knowing who you actually are: The effect of feedback on short- and longer-term outcomes," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 589-615.
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    8. Tim Klausmann, 2021. "Feedback in Homogeneous Ability Groups: A Field Experiment," Working Papers 2114, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    9. Florian Hett & Felix Schmidt, 2018. "Pushing Through or Slacking Off? Heterogeneity on the Reaction to Rank Feedback," Working Papers 1806, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    10. Marie Claire Villeval, 2020. "Performance Feedback and Peer Effects," Post-Print halshs-02909726, HAL.
    11. Leonardo Bursztyn & Robert Jensen, 2015. "How Does Peer Pressure Affect Educational Investments?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1329-1367.
    12. Marie Claire Villeval, 2020. "Performance Feedback and Peer Effects," Working Papers 2009, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    13. Marie Claire Villeval, 2020. "Performance Feedback and Peer Effects," Working Papers halshs-02488913, HAL.
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    Cited by:

    1. Raphael Brade & Oliver Himmler & Robert Jaeckle, 2023. "Relative Performance Feedback and Long-Term Tasks – Experimental Evidence from Higher Education," CESifo Working Paper Series 10346, CESifo.
    2. Hermes, Henning & Huschens, Martin & Rothlauf, Franz & Schunk, Daniel, 2021. "Motivating low-achievers—Relative performance feedback in primary schools," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 45-59.

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    More about this item

    Keywords

    Rank response function; rank-order feedback; education; online learning platform;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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