Accurate, rubric‑aligned grading and personalised feedback — in minutes, not hours. Built for educators, by educators at Queen Mary University of London.
Ensure fairness and standardisation across assessors with template‑driven, rubric‑aware feedback.
Automate repetitive steps and focus your time on high‑value academic judgement.
Educator‑in‑the‑loop, full control of grades and comments; privacy by design.
Track efficiency, grade variance, and feedback quality with clear visuals.
Built for essays, lab reports, problem‑solving tasks, and posters across STEM & Humanities.
Upload essays, reports, or lab notebooks directly or via LMS (QMPlus, Turnitin, Canvas coming soon).
EduMark analyses submissions with rubric‑aware prompts and exemplar calibration.
Full human oversight — approve, edit, or enrich AI drafts before release.
Students receive structured feedback: Strengths, Areas for Improvement, Action Points.
How AI‑supported feedback enhances fairness, clarity, and reflective learning.
Step‑by‑step workflow for effective AI‑assisted assessment with prompt frameworks.
Rubric‑aligned prompt design and student partnership in AI development.
Cross‑disciplinary implementation and sustainability pathways.
Findings, methodology, and ethical guidance for sector‑wide adoption.
Deepshikha (Materials Chemistry) - Video | OpenAI Academy
Experience the future of academic evaluation with our enterprise-ready solution. Start with a pilot program and see measurable results in weeks.