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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 2018 study revealed that 70.7% of second-year students at 8 Mai 1945 Guelma University in Algeria admitted that they had cheated in tests as a result of competition for grades, parental expectations and ineffective invigilation by the teacher. In an effort to protect academic integrity, the Algerian Ministry of Higher Education approved a new law at the end of 2020 that sets out the legal procedures for preventing scientific and academic theft.

There were over 100 cases of cheating at the University of British Columbia (UBC) during an online math exam. The UBC director announced that the consequences for the students involved might vary from a warning to a zero on the test, a zero in the course, or even suspension or expulsion. The University has taken the necessary measures to ensure the integrity and security of all online courses.

According to a recent poll of Mercer Country Community College students, 64% said they felt more inclined to cheat since moving online. Even though the MCCC uses the Honorlock software that can detect nearby device searches, recognize verbal keywords, and track the students’ movement, the college’s Academic Integrity Committee (AIC) found 45 cases of cheating.

Almost 200 of 900 PhD thesis submitted at Osmania University every year have plagiarized content up 50 per cent. The university reinforced the regulations after approving the University Grants Commissions’ promotion of academic integrity. Faculty members having a similarity of above 40 per cent will be asked to withdraw the manuscript, will be denied the right to annual increments, and will not be allowed to supervise new thesis for 2 to 3 years students.