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.

TEQSA’s Higher Education Integrity Unit has updated a database of 2,333 suspected commercial academic cheating service websites, including 579 sites specifically targeting students at Australian Higher Education institutions. This intelligence sharing will enable providers to block access to these websites from their institutional networks and is part of TEQSA’s ongoing partnership with the Higher Education sector to strengthen cultures of academic integrity.

Researchers globally have reported that since the pandemic, there is growing concern about cheating and the risk it poses to the integrity of higher education. The Tertiary Education Quality and Standards Agency recently used its powers to block academic cheating websites for the first time. The Agency blocked 40 websites that were visited about 450,000 times a month.

Education agencies across the globe are joining forces to fight the rise of commercial cheating services that target students worldwide. The newly formed Global Academic Integrity Network (GAIN) will share experiences and resources to help jurisdictions develop legislation, regulatory approaches and frameworks that penalise facilitating and advertising of cheating services. It was founded by Quality and Qualifications Ireland and Australia’s Tertiary Education Quality and Standards Agency and launched in Dublin last October.