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.

Academic fraud takes place in epic proportions in Bangladesh, from copying music to copying homework and buying readymade thesis. Contract cheating and plagiarism are not only widespread among students, but it is also practiced by some faculty members of Dhaka University. Also, there are many incidents of the student wing of political parties forcing professors to pass them in an exam after submitting a wrong answer script or without even appearing for it.

According to 10 Ukrainian scientists, plagiarism, pseudoscience, bribes, and cheating are some of the big threats to academia in Ukraine. Around 90 percent of all science professors in Ukraine are not legitimate researchers. A study of undergraduate students in the Ukrainian city of Lvivs shows that 93 percent of students reported that they had plagiarized schoolwork and 48 percent said they had paid bribes at their university.

The Hunan University of Technology in central China introduced a new free tool to limit plagiarism on campuses. Students could check their final dissertation with an online database to see how much of each paper’s content is copied from existing publications. A former director of the People’s Liberation Army’s Institute for Disease Control and Prevention plagiarised the work of another Ph.D. student in his final thesis. He was stripped of his doctorate after being found guilty of cheating 12 years after receiving.