United KingdomEducation2024 – ongoing

Queen Mary University of London

EduMark AI grading and student feedback pilot

Queen Mary reported 50–60% less grading time in its EduMark AI pilot

WorkingCompany's own claimOfficial ↗

Problem

Educators needed to provide assignment grades and individual feedback while managing marking time. The project also sought more consistent application of grading rubrics.

Approach

The university team compared AI grading systems and collected paired educator and AI marking samples. It launched an EduMark AI beta web application and surveyed students. Its assessment workflow retained educator oversight.

Results

50–60%reduction in grading time against manual marking reported by the universityCompany's own claim[1]

200+students engaged in surveys, reported by the universityCompany's own claim[1]

Takeaway

The reported time saving came from a university pilot with educator oversight. It did not establish equivalent results across all subjects or assignment types.

Sources

EduMark AI
Queen Mary University of London2026Company publication

Source summaries

[1]Queen Mary University of London2026

The university described its beta grading application and comparisons with educator marking. It reported a 50–60% grading-time reduction and student surveys involving more than 200 participants.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026