AI-enhanced feedback that gives every student the same quality of expert assessment — at scale.
The Marking Project is an AI-enhanced feedback platform built by a teacher, for teachers. Its core purpose is to transform the way written student work is assessed and returned — replacing slow, inconsistent, and labour-intensive manual marking with a streamlined pipeline that produces rich, personalised feedback at scale.
Students receive detailed, structured feedback that goes far beyond a grade. They can see exactly where they gained and lost marks, read annotated model answers, compare their response to top examples, and engage with a quiz gateway before accessing their results — ensuring feedback is genuinely processed, not just glanced at.
Detailed, personalised feedback with mark-by-mark breakdowns, model answers, and interactive quizzes that make engagement with feedback compulsory — not optional.
Hours of repetitive marking eliminated, replaced by feedback that is more consistent and more diagnostic than most teachers could realistically write by hand for every student.
A secure, privacy-conscious portal where feedback files are hosted and students find their class without a login. Subject-agnostic and designed to scale across departments.
Teachers upload scanned or digital student scripts. The platform uses AI to read, interpret, and mark the work against the relevant mark scheme — producing a feedback file for every student in the class, automatically.
Each feedback file includes a personal breakdown of marks awarded, annotated examples from top and middle responses in the same class, a class-level Question Level Analysis (QLA) showing where the cohort struggled, and a teacher dashboard with exportable data.
Files are published to the portal, where students select their class and access their own feedback. No logins, no complexity — just immediate, meaningful assessment.
The Marking Project has been in development for over twelve years, beginning with VBA-based marking tools long before AI entered the classroom. It was built by Chris Mitchell, a GCSE Citizenship teacher with over three decades of classroom experience, who wanted to solve a problem he lived with every day: the impossible trade-off between marking quality and marking time.
When AI made it possible to produce genuinely useful, personalised written feedback at scale, the platform was rebuilt around it. The results spoke for themselves — GCSE Citizenship pass rates improved from approximately 65% to 85% after introducing AI-enhanced feedback.
The platform is currently used for GCSE Citizenship but is designed to be subject-agnostic and exam-board aware, with the ambition of scaling across departments and schools.