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Presentation
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Computerized
plagiarism detection as a teaching tool: helping |
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METM
06, Barcelona 27-28 October 2006 |
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However, users must learn to interpret the Turnitin reports. Not all source texts are in the system’s data base, so some plagiarism is missed. Some matches are not actually plagiarism, but rather long noun phrases, for example. Novice writers may become so focused on avoiding unacceptable similarity that their version is too dissimilar: paraphrases become distorted and inaccurate. The system can be a useful teaching tool when users are aware of its limitations. Christine
Parkhurst, Associate Professor, Massachusetts College of
Pharmacy and Health Sciences, Boston, Massachusetts, USA. Christine.Parkhurst@mcphs.edu
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