Disclaimer: IIEP cannot guarantee the accuracy of the information in these articles.
Hyperlinks to other websites imply neither responsibility for, nor approval of, the information contained in those other websites.
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.
Stay informed About Etico
Stay informed about related news with the monthly ETICO Bulletin
Submit your content
Help us grow our library by sharing your content on corruption in education.