EduMark AI, an AI-driven assessment and feedback initiative led by Dr Deepshikha in the School of Engineering and Materials Science (SEMS), has been awarded support through the Google for Startups Cloud Program.

As part of this, the project has received $2,000 in Google Cloud credits to support its next phase of development. These resources will be used to strengthen the platform’s technical infrastructure, including scalable deployment, secure data handling, and enhanced analytics capabilities.

EduMark AI focuses on supporting educators by generating rubric-aligned draft feedback, helping improve consistency in marking while reducing workload. A key feature of the approach is its human-in-the-loop design, ensuring that all feedback and grading decisions remain fully under academic control.

The project has already gained strong momentum within Queen Mary through funding from Draper's Fund for Innovation in Learning and Teaching and ongoing engagement with colleagues across the university. Current work focuses on aligning the system with institutional processes for assessment, data protection, and the ethical use of AI, and on preparing for pilot implementation.

This latest support from Google offers an opportunity to further develop EduMark AI into a robust, scalable tool that enhances assessment practices and supports both staff and students.

Dr Deepshikha commented:
“EduMark AI is designed to support colleagues in delivering high-quality, consistent feedback while maintaining full academic oversight. This support will help us take the next step in developing a secure and scalable system aligned with institutional needs.”

Colleagues interested in learning more or exploring potential collaboration are welcome to get in touch.