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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.

This video is made by IIPE-UNESCO, and aims to demonstrate the power of open data in education How can educational agents promote integrity and transparency in the education sector? Open school data is a powerful way to integrate the entire educational community: they share with the public information about school funding, student and teacher numbers, school equipment, textbooks, and test scores.

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.

A professor emeritus at the University of Geneva discusses her main research topic: integrity sciences. During the interview, she documents the different profiles of what she calls "knowledge offenders". 

Due to high levels of misconduct in India, where 1.000 papers were retracted, of which 33 per because of plagiarism, universities are required to offer a 30-hour training course on research integrity and publication ethics to Ph.D. students before they can begin their studies.