Rank Response Functions in an Online Learning Environment

Tim Klausmann, Valentin Wagner and Isabell Zipperle ()
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Isabell Zipperle: Johannes Gutenberg University Mainz

No 2111, Working Papers from Gutenberg School of Management and Economics, Johannes Gutenberg-Universität 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.

Keywords: Rank response function; rank-order feedback; education; online learning platform (search for similar items in EconPapers)
JEL-codes: D83 I21 (search for similar items in EconPapers)
Pages: 11 pages
Date: 2021-08-16
New Economics Papers: this item is included in nep-isf and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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https://download.uni-mainz.de/RePEc/pdf/Discussion_Paper_2111.pdf First version, 2021 (application/pdf)

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Journal Article: Rank response functions in an online learning environment (2021)
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