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Customising a Copying-Identi.er for Biomedical Science Student Reports: Comparing Simple and Smart Analyses

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Artificial Intelligence and Cognitive Science (AICS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2464))

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Abstract

The aim of our project is to develop a system for detecting student copying in Biomedical Science laboratory practical reports. We compare contrasting approaches: “simple” methods Zipping, based on a standard file-compression tool, and Bigrams, a basic comparison of frequent bigrams; and “smart” methods using commercial-strength plagiarism-checking systems Turnitin, Copycatch, and Copyfind. Both approaches successfully flag examples of copying in our Test Corpus of 218 student courseworks, but Copycatch provides more user-friendly batch-processing mechanism. Human experts go beyond word-based pattern matching, and take account of knowledge specific to our domain: methods and questions can legitimately be copied, whereas originality is more important in the Discussion section.

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References

  1. CheatChecker: http://www.cse.ucsc.edu/~elm/Software/CheatChecker/

  2. SIM: http://www.few.vu.nl/~dick/sim.html

  3. YAP: http://www.cs.su.oz.au/~michaelw/YAP.html

  4. CopyCatch: http://www.copycatch.freeserve.co.uk

  5. CopyFind: http://plagiarism.phys.virginia.edu/software.html

  6. Turnitin: http://www.turnitin.com/

  7. Clough, P.: http://www.dcs.shef.ac.uk/~cloughie/

  8. Benedetto, D., Caglioti, E., Loreto, V.: Language Trees and Zipping. Physical Review Letters, Vol. 88,4 (2002)

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  9. Bull, J., Collins, C., Coughlin, E., Sharp, D.: Technical Review of Plagiarism Detection Software Report. JISC (2001)

    Google Scholar 

  10. Wassall, Terry: On-line Plagiarism Detection Projects 2001-2002. FLDU Technical Report, University of Leeds (2002)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computing, University of Leeds, LS2 9JT, Leeds, England

    Julia Medori & Eric Atwell

  2. School of Biomedical Sciences, University of Leeds, LS2 9JT, Leeds, England

    Paul Gent

  3. Centre for Joint Honours in Science, University of Leeds, LS2 9JT, Leeds, England

    Clive Souter

Authors
  1. Julia Medori
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  2. Eric Atwell
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  3. Paul Gent
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  4. Clive Souter
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Systems, University of Limerick, Ireland

    Michael O’Neill , Richard F. E. Sutcliffe , Conor Ryan , Malachy Eaton  & Niall J. L. Griffith , , ,  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Medori, J., Atwell, E., Gent, P., Souter, C. (2002). Customising a Copying-Identi.er for Biomedical Science Student Reports: Comparing Simple and Smart Analyses. In: O’Neill, M., Sutcliffe, R.F.E., Ryan, C., Eaton, M., Griffith, N.J.L. (eds) Artificial Intelligence and Cognitive Science. AICS 2002. Lecture Notes in Computer Science(), vol 2464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45750-X_31

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  • DOI: https://doi.org/10.1007/3-540-45750-X_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44184-7

  • Online ISBN: 978-3-540-45750-3

  • eBook Packages: Springer Book Archive

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