EduMark AI has secured a £9,000 Queen Mary Impact Fund award for the project, “EduMark AI: Advancing Responsible AI-Enabled Assessment Through Pilot Readiness and Sector Adoption.”

The Queen Mary Impact Fund is a highly competitive internal funding scheme that supports projects with strong potential to translate research, innovation and knowledge exchange into meaningful real-world impact. This award recognises the strength of EduMark AI as a responsible, scalable and sector-relevant educational innovation.

EduMark AI is an educator-led artificial intelligence platform designed to improve the efficiency, consistency and quality of assessment and feedback while keeping human academic judgement at the centre. The platform provides rubric-aligned, personalised and timely feedback under educator oversight, helping to address growing challenges around marking workload, feedback quality and assessment scalability in higher education.

The project team includes Dr Deepshikha as Lead Applicant, with Dr Riasat Islam from EECS and Dr Giuseppe Viola from QMES as co-applicants. The funded project will support the next stage of EduMark AI’s development, focusing on pilot readiness, institutional implementation and sector adoption. The work will include strengthening the platform for wider use, supporting integration with institutional assessment workflows, building further evidence for evaluation, and identifying potential early-adopter institutions.

Speaking about the award, Dr Deepshikha said:

“I am delighted to receive the Queen Mary Impact Fund award for EduMark AI. This is a highly competitive and significant funding route, so this recognition is an important milestone for the project and the wider team. EduMark AI aims to support educators and students through responsible, transparent and human-centred use of AI in assessment and feedback. I am excited to continue developing the project in alignment with Queen Mary’s commitment to innovation, inclusion and educational excellence.”

The award will enable EduMark AI to move from educational innovation towards broader institutional and sector impact. By supporting pilot readiness, evaluation and adoption planning, the project will help position Queen Mary as a leader in responsible AI-enabled assessment and feedback.