AI marking software for educators
Feedback Flows is an AI marking platform built for UK schools, colleges, independent training providers (ITPs), and multi-academy trusts. Upload student work, apply your rubric, review AI-drafted grades and feedback, then publish—keeping professional judgement at the centre of every mark.
What is AI marking?
AI marking is the use of artificial intelligence—typically large language models—to analyse student submissions against defined assessment criteria. The AI reads extended writing, structured answers, or portfolio evidence, then drafts criterion-level scores and personalised feedback aligned to your rubric or mark scheme.
Unlike a simple grammar checker or keyword matcher, modern AI marking understands context, argument structure, and how well a response meets each band descriptor. The output is a draft for educator review, not an automatic final grade handed straight to students.
For a deeper technical explanation, read our guide on how AI marking works.
How AI marking works in Feedback Flows
The workflow is designed around teacher control and moderation-friendly evidence:
- Upload — Single scripts or whole cohort batches (PDF, Word, and common formats).
- Apply your rubric — Use the rubric builder or import criteria your department already trusts.
- AI drafts marks and feedback — Criterion-level comments reference specific strengths and gaps in the student's work.
- You review and edit — Adjust borderline grades, tone, and moderation samples before anything is released.
- Publish and follow up — Export feedback, generate targeted worksheets, and track progress over time.
See the full toolkit on our platform features page, or explore specialised workflows for AI essay marking and rubric marking software.
Manual marking vs generic AI vs rubric-based AI marking
| Approach | Speed | Consistency | Rubric alignment | Teacher control |
|---|---|---|---|---|
| Manual marking | Slow at scale | Varies by marker fatigue | High when done well | Full |
| Generic AI graders | Fast | High but shallow | Low—often ignores your scheme | Limited |
| Feedback Flows AI marking | Fast first pass | High against your rubric | High—criteria you define | Full review before publish |
Read our comparison article: AI marking vs manual marking.
Who uses AI marking on Feedback Flows
UK trust and governance
UK educators need more than speed—they need defensible processes. Feedback Flows is ICO registered, processes student work securely, and does not use your submissions to train public AI models. Teams can pilot with one cohort, compare AI drafts to human marks, and scale with moderation evidence intact.
For UK-specific guidance on adoption in schools and colleges, see AI marking for UK schools and our article on safe and responsible AI in classrooms.
Frequently asked questions about AI marking
Under EAL’s current AI Position Statement, the use of AI to support assessment decisions is acceptable provided it is not used in isolation. AI may generate a suggested assessment outcome or grade (for example Pass, Merit or Distinction) for consideration; however, the final assessment decision must be made by an appropriately qualified and competent human assessor who independently reviews learner evidence and applies professional judgement before confirming the result.
Feedback Flows is designed for this model: AI drafts suggested marks and feedback against your criteria; you review, adjust, and confirm before learners receive results.
Responsibility for the assessment decision must remain entirely with the human assessor. Every assessment decision informed by AI should be reviewed by the assessor, rather than relying on sampling or quality assurance checks of only a proportion of AI-generated outcomes.
The output from AI may inform the assessment process, but it must not determine the final outcome. This position is aligned with EAL’s current AI Position Statement and existing assessment principles.
Try AI marking free
Explore the live demo or create an account with welcome credits—no credit card required.