Search Page

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.

Produced by IIEP-UNESCO, the video aims to raise awareness of the power of open school data in education. Open data is a powerful way of involving the whole education community: it shares information with the public about school funding, pupil and teacher numbers, facilities, textbooks and exam results.

The world's largest multi-disciplinary research integrity survey is at risk of failing to achieve its objectives with two-thirds of the institutions invited to collaborate having declined to participate because of the sensitivity of the subject and fear of negative publicity. As a result, the researchers who conducted the Dutch National Research Integrity Survey found themselves alone in scraping up many e-mail addresses and soliciting responses. They gathered feedback from less than 15% of the 40,000 targeted participants.

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.