Atwell, ES, Gent, JP, Medori, JDM et al. (1 more author) (2003) Detecting student copying in a corpus of science laboratory reports. In: Archer, D, Rayson, P, Wilson, A and McEnery, AM, (eds.) Proceedings of the Corpus Linguistics 2003 conference. Corpus Linguistics 2003 conference, 28-31 Mar 2003, Lancaster University, UK. Centre for Computer Corpus Research on Language Technical Papers, University of Lancaster , 48 - 53. ISBN 1862201315
Abstract
This case study is an evaluation of generic, general-purpose plagiarism detection systems applied to a specific domain and task: detecting intra-class student copying in a corpus of Biomedical Science laboratory reports. From the outset, our project had the practical, pragmatic aim to find a workable solution to a specific problem. Biomedical Science undergraduates learn experimental methods by working through a series of laboratory experiments and reporting on their results. These laboratory reports are “peer-reviewed” in large classes, following a prescribed marking scheme; as the reports are effectively marked by other students rather than by a single lecturer, there is an opportunity for an unscrupulous student to avoid having to carry out and report on an experiment, by simply copying another student’s report. To reduce this temptation, the Biomedical Science director of teaching, Paul Gent, approached Eric Atwell of the School of Computing and Clive Souter of the Centre for Joint Honours in Science, to look at ways to compare laboratory reports automatically, and flag candidates with signs of copying. We were joined by Julia Medori, forensic linguist from Trinity College Dublin, who developed and evaluated a range of possible solutions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Atwell, ES, Gent, JP, Medori, JDM and Souter, DC (c) 2003, University of Leeds. Reproduced with permission from the copyright holders. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jan 2015 12:47 |
Last Modified: | 19 Dec 2022 13:29 |
Published Version: | http://ucrel.lancs.ac.uk/ |
Status: | Published |
Publisher: | Centre for Computer Corpus Research on Language Technical Papers, University of Lancaster |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82242 |