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Turn-it-in: Turning off human judgement in detecting student plagiarism

Finau, Glen and Samuwai, Jale and Kumar, Rashika S. and Devi, Joycelyn S. (2013) Turn-it-in: Turning off human judgement in detecting student plagiarism. UNSPECIFIED. (Unpublished)

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    Does zero percent similarity index in Turn-it-in indicate nil plagiarism? One would think so but our collective experience last semester with Turn-it-in indicates otherwise. While a useful tool in detecting plagiarism, solely relying on Turn-it-in can in fact increase of risk of undetected plagiarism and breed academic dishonesty. Turn-it-in is not perfect, it has its limitations, and with the number of IT savvy students we are dealing with today, they will find and exploit those limitations. This presentation will illustrate the dangers of over relying on Turn-it-in as the sole assessor for students’ submissions. Actual examples of methods used by students to “beat” Turn-it-in will be demonstrated. These methods will surprise many as these methods can generate a 0% similarity index for any document, even a document that is completely plagiarised. The presentation also provides recommendations and shares strategies and interventions developed to reduce student plagiarism.

    Item Type: Other
    Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
    Divisions: Faculty of Business and Economics (FBE) > School of Accounting and Finance
    Depositing User: Glen Finau
    Date Deposited: 23 Oct 2013 11:47
    Last Modified: 15 Jun 2016 15:19

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