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A research team from the Canadian University of Dubai has identified a new approach to combating academic integrity using machine learning techniques. The new method applies an algorithm to identify cases of cheating through post-exam analysis of student grades from quizzes, midterm exams, and the final exam of an entire class. This technique can complement the work of commercial plagiarism detection software and provide a deterrent and non-intrusive alternative to remotely proctored exams.

A study by a professor of cyber ethics and academic integrity at the University of Wollongong in Dubai identified 34 rogue businesses promoting online contract cheating services. There has been nearly a 200% increase through a site which students regularly use to get help, often with exam-style questions being posted with a request by the student to get the answers back quickly. The price would range from $40 (Dh150) for an exam question to thousands of dollars for a 10,000-word report.