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.

This video, made by IIEP-UNESCO, aims to demonstrate the power of open data in education. It explores how can educational agents promote integrity and transparency in the education sector.  Open school data serves as a powerful way to integrate the entire educational community as it provides the public information such as school funding, number of students and teachers, school equipments and resources, textbooks, and test scores.

Following the University Grants Commission’s regulations for the promotion of academic integrity, Andhra University decided to implement a technology-based mechanism to prevent plagiarism. No thesis with a similarity index above 20% can be submitted. In addition, the students must submit an undertaking stipulating that their work is original.

The University Grants Commission (UGC) implemented new regulations in order to prevent plagiarism and academic misconduct by students. They required every institution to establish a mechanism to enhance awareness about responsible conduct of research and academic activities, promotion of academic integrity and deterrence from plagiarism. The ministry of human resource development told a meeting of vice-chancellors that plagiarism software would be provided free to all institutions. However, similarity-detection is only possible if the original material is available online. And plagiarism is not just about text similarity, but also recycling of copied figures, tables, and photographs.