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Catching a Few Important Fish: Internet Mediated Plagiarism

Author:

Joel FenwickAuthors Info & Claims

ACE '17: Proceedings of the Nineteenth Australasian Computing Education Conference

Pages 36 - 41

https://doi.org/10.1145/3013499.3013504

Published: 31 January 2017 Publication History

Abstract

Students paying others to do their work is not new, but it has received significant attention recently. Such students are guilty of plagiarism but it is a different form to the common failures of omitted attribution or collusion. These acts are not (normally) detectable using the usual tools such as MOSS which look for duplication.

While the number of (known) cases occurring may not be large relative to class sizes, it is important that these individuals are identified not just because of possible damage to reputation but also to morale.

This work considers "contract cheating" and an approach to identifying guilty parties once a cheating incidence has been detected. This approach makes use of simple automation and is not overly burdensome even for large classes.

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Cited By

Seo YHuh J(2020)Context-aware auction solution of cooperative fish market monitoring system for intelligent userHuman-centric Computing and Information Sciences10.1186/s13673-020-00234-w10:1Online publication date: 14-Jul-2020
https://doi.org/10.1186/s13673-020-00234-w
Albluwi I(2019)Plagiarism in Programming AssessmentsACM Transactions on Computing Education10.1145/337115620:1(1-28)Online publication date: 9-Dec-2019
https://dl.acm.org/doi/10.1145/3371156

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cover image ACM Other conferences

ACE '17: Proceedings of the Nineteenth Australasian Computing Education Conference

January 2017

117 pages

ISBN:9781450348232

DOI:10.1145/3013499

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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CORE: Computing Research and Education

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 January 2017

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ACE '17

ACE '17: Nineteenth Australasian Computing Education Conference

January 31 - February 3, 2017

VIC, Geelong, Australia

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Cited By

Seo YHuh J(2020)Context-aware auction solution of cooperative fish market monitoring system for intelligent userHuman-centric Computing and Information Sciences10.1186/s13673-020-00234-w10:1Online publication date: 14-Jul-2020
https://doi.org/10.1186/s13673-020-00234-w
Albluwi I(2019)Plagiarism in Programming AssessmentsACM Transactions on Computing Education10.1145/337115620:1(1-28)Online publication date: 9-Dec-2019
https://dl.acm.org/doi/10.1145/3371156

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