EduMark AI, an educator-controlled platform designed to support assessment and feedback, is now being piloted across Queen Mary University of London.

Developed by Dr Deepshikha and team in the School of Engineering and Materials Science, EduMark AI was created to address one of the most pressing challenges in higher education: the growing workload associated with marking and feedback, and the need to maintain academic quality, fairness, and consistency. The platform aims to reduce the time burden of assessment while improving the clarity, structure, and timeliness of the feedback students receive. A core principle underpinning the pilot is that academic judgement remains fully with the educator; all marks and feedback are reviewed and approved by staff before release.

Earlier pilot work has shown promising results, including an approximate 60% reduction in marking time and more structured, actionable feedback for students. Student responses have also been encouraging, with participants highlighting the clarity, specificity, and usefulness of the comments they received.

The Queen Mary-wide pilot marks an important next step for EduMark AI. Academics from across the University are now being invited to express interest in participating, with training and guidance sessions to follow for those who wish to integrate the platform into their marking workflows.

This is an opportunity for colleagues to explore how AI can support assessment in a practical, ethical, and pedagogically sound way.

We would be delighted to hear from educators who are interested in piloting EduMark AI in their modules.

To take part, please complete the participation form.

For further information about EduMark AI, please contact Dr Deepshikha at d.deepshikha@qmul.ac.uk.