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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.

64 candidates were unfairly enrolled at the University of California between 2013 and 2019 because of their personal or family ties to donors and academic staff. The state auditor reports that the university has undermined the fairness and integrity of its admissions process and has denied more qualified students the opportunity to be enrolled.

Over 90 medical students from Inha University in Incheon, west of Seoul, were found to have cheated during remote exams. They gathered at a specific location in a group of two to nine to take tests together or to compare their answers via telephone or social media platforms. To prevent its recurrence, the university demands students to submit an oath of academic honesty, use an online proctor system, and videotape themselves taking the tests. Those who are suspected of cheating could be required to take a verbal test.

A significant number of NUS students taking an online exam had allegedly shared their answers and plagiarized one another's work. To preserve the integrity of online assessments, the University has put in place measures such as online procuring, where students are monitored via a webcam. As a result of their academic misconduct they have received zero marks for the exam, they have been barred from exercising the satisfactory/unsatisfactory option for the module.

To guarantee the academic integrity and legitimacy of the evaluations and exams during the health crisis of COVID-19, Madrid Complutense University was able to take advantage of their existing remote digital media. To avoid fraud, the identity of students during oral exams is verified using video-conferencing tools, and access codes are personal and non-transferable. This is done under the oversight of the Computer Services department. For handwritten tests, students send a scanned handwritten text to the University Virtual Campus.