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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.
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