Manuscript with arrow icon Book and magnifying glass icon Cross-check icon Process checklist icon Reputation ribbon icon Graduation cap icon Question speech bubble icon Headset call icon Mobile phone call icon Login arrow icon B+ Paper Icon Becoming B+ Paper Icon Checkmark Paper Icon Feedback Speech Bubble Icon Feedback Double Speech Bubble Icon Similarity Check Icon Professional Development Icon Admin Training Icon Instructor Training Icon Student Training Icon Integrations Icon System Status Icon System Requirements Icon Menu Icon Checkmark Icon Download Icon Rubric Icon Prompt Icon QuickMark Set Icon Lesson Plan Icon Success Story Icon Infographic Icon White Paper Icon White Paper Icon Press Release Icon News Story Icon Event Icon Webcast Icon Video Icon Envelope Icon Plaque Icon Lightbulb Icon Insights Lightbulb Icon Training Icon Search Icon User Icon Privacy Icon Instructor Icon Instructor-1 Icon Investigator Icon Admin Icon Student Icon Voice Grammar Icon Turnitin Logo (Text and Icon) Icon Facebook Icon Twitter Icon LinkedIn Icon Google Plus Icon Lightbulb Icon Binoculars Icon Drama Masks Icon Magnifying Glass Icon Signal Check Indicator Bars Red Flag Icon Analysis and Organization Icon
Contact Sales

A/Prof. Phillip Dawson | Associate Director, Centre for Research in Assessment and Digital Learning, Deakin University

A/Prof. Wendy Sutherland-Smith | Faculty of Health, School of Psychology, Deakin University

In this two-part episode, Deakin University's Associate Professors Phill and Wendy stopped by for a chat about their research on the detection of contract cheating with Turnitin's Authorship Investigate technology. This research presents the first quantitative empirical study into the use of authorship analysis technology and machine learning to improve detection rates of contract cheating. 

Part One covers Phill and Wendy's backgrounds, what contract cheating is and why there is a need for such research. 

Watch part 2 →

Apple Podcasts Spotify RSS YouTube

Back to all episodes
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.