AI marking software

AI marking for schools and teachers

Draft grades and feedback against your own rubrics—fast enough for whole cohorts, careful enough for moderation. Upload work, apply your criteria, review every draft, then publish with professional judgement intact.

  • Rubric-aligned drafts
  • Teacher review before publish
  • Batch cohort marking
  • ICO registered · UK-built
Overview

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. Looking for UK schools, GCSE and DPA detail? See AI marking for UK schools.

Workflow

How AI marking works in Feedback Flows

Built around teacher control and moderation-friendly evidence.

1

Upload

Single scripts or whole cohort batches (PDF, Word, and common formats).

2

Apply your rubric

Use the rubric builder or import criteria your department already trusts.

3

AI drafts marks

Criterion-level comments reference specific strengths and gaps in the work.

4

You review

Adjust borderline grades, tone, and moderation samples before release.

5

Publish & follow up

Export feedback, generate targeted worksheets, and track progress.

See the full toolkit on our platform features page, or explore AI essay marking and rubric marking software.

In the product

Rubric-aligned results you can edit

Criterion-level feedback references the student’s work against your descriptors—editable before anyone sees a grade.

  • Band and score drafts per criterion
  • Personalised comments, not boilerplate
  • Exports ready for internal moderation
AI marking results aligned to a rubric in Feedback Flows

Rubric-aligned AI marking with criterion-level feedback—editable before students see results.

Compare

Manual 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.

Audiences

Who uses AI marking on Feedback Flows

Teachers

Cut mock-season and coursework spikes without generic comments.

For teachers →
AI feedback for teachers →
Students and classes →

ITPs & assessors

EPA-ready evidence, audit-friendly exports, outsourced marking options.

For ITPs →

MATs & trusts

Consistent criteria trust-wide with shared rubric libraries.

For MATs →

Schools and colleges: see AI marking for UK schools for GCSE, A-Level, ICO and DPA guidance.

FAQ

Frequently asked questions about AI marking

AI marking uses large language models to read student work, apply your rubric or mark scheme, and draft grades and feedback. Professional educators review and publish the final result.

No. Feedback Flows is designed as an assistant. AI handles the repetitive first pass against your criteria; teachers retain final grading authority and professional judgement.

Accuracy improves when marking is rubric-aligned rather than generic. Teams typically pilot with a sample set, compare AI drafts to human marks, and scale once moderators are confident.

Yes. Upload a cohort, apply one rubric, review batch results, and release feedback when you are ready. Batch marking is core to the platform workflow.

Feedback Flows processes work over encrypted connections, does not sell student data, and does not use submissions to train public models. We are ICO registered. See our UK schools guide for DPAs and governance detail.

Individual educators use pay-as-you-go credits with free welcome credits on sign-up. Schools, ITPs, and MATs can request custom enterprise pricing.

Essays, coursework, reports, structured exam papers, vocational portfolios, and other extended writing. Rubric or mark-scheme alignment drives quality.

Generic tools produce one-size-fits-all comments. Feedback Flows applies your rubric, supports batch cohort marking, moderation exports, integrity checks, and UK-focused governance expectations.

Under EAL's current AI Position Statement, AI may support assessment provided it is not used in isolation. AI may generate a suggested outcome or grade (for example Pass, Merit or Distinction) for consideration, but the final assessment decision and award must be made by an appropriately qualified and competent human assessor who independently reviews learner evidence and applies professional judgement before confirming the result.

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. AI may inform the assessment process but must not determine the final outcome.

More on privacy and school rollout: AI marking for UK schools · Safe & responsible AI in classrooms

Get started

Try AI marking free

Explore the live demo or create an account with welcome credits—no credit card required.