Detecting Plagarism in Microsoft Excel Assignments

Hellyer, Laurence and Beadle, Lawrence (2009) Detecting Plagarism in Microsoft Excel Assignments. In: 10th Annual Conference of the Subject Centre for Information and Computer Sciences. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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We present a new anti-plagiarism tool called Excel-Smash. Whilst there are already anti-plagiarism tools available for essays and programming based submissions, our tool to the best of knowledge is the only tool designed to compare student submissions in the form of Microsoft Excel spreadsheets. We present details of the plagiarism checks performed and we test our software on over nine hundred current and past student submissions. We present a case study to show how Excel-Smash functions from the point of view of the user, and we present data to support the ability of Excel-Smash to identify plagiarism between different marker groups above the abilities of its human counterparts. With a low false positive and false negative result Excel-Smash quickly allows identification of serious and more minor inter-group plagiarism.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Plagiarism, plagiarism detection, academic malpractice, anti-plagiarism software
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:16
Last Modified: 29 Mar 2010 12:16
Resource URI: (The current URI for this page, for reference purposes)
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