@DrLancaster slideshare.net/ ThomasLancaster 1 ThomasLancaster.co. uk An Initial Analysis Of The Contextual Information Available Within Auction Posts On Contract Cheating Agency Websites Thomas Lancaster and Robert Clarke Birmingham City University ICAES 2014
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An Initial Analysis Of The Contextual Information Available Within Auction Posts On Contract Cheating Agency Websites - ICAES 2014
This presentation explores the role that context can play in the detection of contract cheating. The paper looks at how context can be identified, both directly on the posts made on agency websites, and through wider observation of the contract cheating landscape and makes some initial proposals as to how intelligent software to detect contract cheating could be developed.
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The Role Of The Authors In Contract Cheating Research
Dr. Thomas Lancaster
Senior Lecturer in ComputingPhD “Effective And Efficient Plagiarism Detection”Programme Leader BSc Computer ScienceLead of Innovations in Computing Education Group
Robert Clarke
Educational ConsultantCurrent Visiting Lecturer/Former Principal Lecturer30 Years Experience Teaching At BCU19,000 Attempts at Contract Cheating Found
An automated system to detect contract cheating using agency sites, such as Freelancer.com, would need to scrape/automatically collect as much contextual information as possibleContext is largely used in this way by current manual detection methods (by a detective)
The text of the cheating request (does this match known assignment content? does this contain institutional identifiers?)The username/history/photo/stated location of the requester (does this match information on other sites?)
Copies of all assignment briefs provided worldwide, in all subjectsFull profiles of all students worldwide, with identifying/characteristic information
Suggestion, use Google to approximate the necessary searches for images, assignment information, contact informationUse Facebook for social media searches for student informationAugment this using Turnitin, which contains some assignment briefs (e.g. embedded within student uploads)
The Contract Cheating proposes multiple partial solutions:Six-Stage Contract Cheating Detection ProcessUse of StylometricsWatermarking of assignments to allow cheating
The wider community can support Contract Cheating detection by developing fully and partially automated toolsStudent and research projects have a role to play here
Embedding the use of contextual information within these tools should aid in the detective process
There are still academics who are unaware that students can cheat, or who seem tempted to “turn a blind eye”Changes to pedagogy and to staff attitudes are needed to continue to preserve the value of academic qualifications