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How effective are electronic plagiarism detection systems and does it matter how you use them?. Dr Jo Badge (@ jobadge ) School of Biological Sciences University of Leicester. http://bit.ly/eDetection. Electronic Detection Systems. Software to automatically search for non-original text
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How effective are electronic plagiarism detection systems and does it matter how you use them? Dr Jo Badge (@jobadge) School of Biological Sciences University of Leicester
Electronic Detection Systems • Software to automatically search for non-original text • dynamic list of software online
Effectiveness • Cross comparison reviews mostly focus on usability • Live testing with scoring for detection rates carried out by Debora Weber-Wuff • Rates Safeassign above Turnitin in terms of detection rates
Mode of use: prevention • Long term effects • Risk / benefit perceptions • Punishment as education
3. Punishment as education • Punitive tutor-supported access • Students shown originality report prior to penalty • Most common but least studied • Form of student access to originality reports
Mode of use: student access • Punitive supported access • Outside institutional systems • Institutional open access • Tutor supported access
2. Outside institutional systems first: spelling check; second: grammar check; third: originality check
3. Institutional open access Still fairly rare • IFS • York (controlled training session trial)
Braumoeller & Gaines, 2001 • Marked on grading curve • Feedback on effect of plagiarism on grades
4. Tutor supported access Ledwith & Risquez, 2008 Proportion of matching text for both assignments submitted through Turnitin
Davis & Carroll, 2009 Reduction in • Amount of plagiarism (45.5%) • Over-reliance on one source (45.5%) • Citation errors (62%) • Insufficient paraphrasing (38%) Percentages= total final drafts showing reduction where n=66 (over 3 years 2007-2009)
Acknowledgements Higher Education Academy University of Leicester Teaching Enhancement Forum GENIE CETL Dr NadyaYakovchuk Dr Jon Scott