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Is the Cheating Risk Always Higher in Online Instruction Compared to Face-to-Face Instruction?

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Author Info
Oskar Harmon (University of Connecticut)
James Lambrinos (Union Graduate College)
Judy Buffolino (University of Connecticut)

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Abstract

This article analyzes the exposure to cheating risk of online courses relative to face-to-face courses at a single institution. For our sample of 20 online courses we report that the cheating risk is higher than for equivalent face-to-face courses because of reliance on un-proctored multiple choice exams. We conclude that the combination of a proctored final exam, and strategic use cheating deterrents in the administration of un-proctored multiple choice exams, would significantly reduce the cheating risk differential without substantially altering the assessment design of online instruction.

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File URL: http://www.econ.uconn.edu/working/2008-14.pdf
File Format: application/pdf
File Function: Full text
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Publisher Info
Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2008-14.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 24 pages
Date of creation: Apr 2008
Date of revision:
Handle: RePEc:uct:uconnp:2008-14

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Postal: University of Connecticut 341 Mansfield Road, Unit 1063 Storrs, CT 06269-1063
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Web page: http://www.econ.uconn.edu/
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Related research
Keywords: Academic Dishonesty; Cheating; Online Instruction; Principles of Economics;

Find related papers by JEL classification:
A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate

This paper has been announced in the following NEP Reports:

References listed on IDEAS
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  1. Stephen Buckles & John J. Siegfried, 2006. "Using Multiple-Choice Questions to Evaluate In-Depth Learning of Economics," Journal of Economic Education, Helen Dwight Reid Foundation, vol. 37(1), pages 48-57. [Downloadable!]
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This page was last updated on 2009-12-2.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.