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246 reasons to cheat: An analysis of students’ reasons for seeking to outsource academic work
ARTICLE

, Center for the Study of Social Processes, Canada ; , Department of Computing, United Kingdom

Computers & Education Volume 134, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd

Abstract

This study examines the reasons students give for seeking unacceptable levels of help with completion of their academic work. It aims to fill the gap in the literature by presenting a comprehensive review of the first-person reasons students have given for requesting that someone else completes their assignments and assessments for them. To this end, we analyzed a dataset composed of 5,000 messages from ten contract cheating services posted on the social media service Twitter. Unlike survey research that relies on participants' ability to recall and explain the events, this study uses discourse analysis that provides a snapshot of student behaviors from the moment they announce their intent to outsource the work, an area that has not previously been analyzed in the contract cheating research base. The reasons accompanying the solicitation of contract work were classified into five categories that include: academic aptitude, perseverance, personal issues, competing objectives, and self-discipline. One important insight of this study is that students appear to have a subjective threshold; they are willing to invest a certain amount of energy in any given assignment, and once the limit is reached outsourcing is sought as the means to quit without losing the qualification. Recommendations for addressing the issue of contract cheating and directions for future research are discussed.

Citation

Amigud, A. & Lancaster, T. (2019). 246 reasons to cheat: An analysis of students’ reasons for seeking to outsource academic work. Computers & Education, 134(1), 98-107. Elsevier Ltd. Retrieved May 12, 2021 from .

This record was imported from Computers & Education on March 15, 2019. Computers & Education is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2019.01.017

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