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A recent study made some alarming findings on the extent of plagiarism and other forms of unethical academic behaviour at Moroccan tertiary education institutions. About half of the respondents admitted to having plagiarised text; however, the study confirms that plagiarism is not always intentional, particularly among scholars whose native language is not English. One way to reduce plagiarism is to provide training on research integrity as well as on business ethics.

In a national survey on research integrity by Dutch academics, 40,000 researchers, from PhD students to full professors, admitted to committing at least one of the 11 questionable research practices. One in 12 researchers is estimated to have fabricated or falsified research results in the last three years. According to a postdoctoral researcher and lead investigator of the survey, findings are already being discussed with policymakers in universities and medical centres in the Netherlands.

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.