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AI essay marking

AI essay marking that follows your rubric

Mark extended writing faster—essays, coursework, and reports—with drafts that track argument structure and band descriptors. You stay in control of borderline grades and the tone students receive.

  • Argument & structure aware
  • Band-descriptor aligned
  • Batch or single scripts
  • Teacher review before publish
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Why teams search

Why teams search for AI essay marking

Essay-heavy subjects create predictable workload spikes: mock seasons, coursework deadlines, and end-of-unit writes all land at once. Traditional marking is thorough but slow. Many AI essay tools promise speed but ignore rubrics, produce generic comments, or feel unsafe for moderation.

Feedback Flows is built for extended writing: upload student work, apply your mark scheme, review AI-drafted feedback that references argument, evidence and band fit, then publish. This workflow is one part of our broader AI marking software for educators.

Extended writing

What AI essay marking actually assesses

Beyond spelling and length—structure, argument and how the response meets your descriptors.

Argument structure

Thesis, paragraphing, logical progression and how claims hang together.

Evidence & analysis

Whether quotations, data and examples support the point—and how well they are explained.

Band descriptors

Draft scores and comments mapped to the levels and weightings you define.

Next-step feedback

Specific improvements students can act on—not a one-size-fits-all paragraph.

In practice

How automated essay marking works

  • Rubric alignment — Criteria, weightings and descriptors you define drive the draft grade and comments.
  • Batch or single marking — Mark one essay in depth or upload a full class set.
  • Personalised feedback — Comments reference strengths and gaps in that script.
  • Integrity checks — Optional style comparison and reference checking.
  • Exports for moderation — Evidence-friendly outputs for internal QA.

Building or importing criteria? See rubric marking software. For GCSE/A-Level school governance, see AI marking for UK schools.

AI essay marking results with rubric-aligned feedback
Subjects

English, Humanities and beyond

Secondary English and Literature teams use AI essay marking for extended responses and mock papers. History, Geography, RE, Sociology and Politics departments apply the same workflow to source-based and evaluative essays. FE lecturers mark reports and vocational assignments; ITP assessors handle portfolio evidence and EPA-style written tasks.

MAT leads value consistent criteria across schools while still allowing subject nuance in final review. Explore solutions for teachers or the AI marking hub for audience routing.

FAQ

Frequently asked questions about AI essay marking

AI essay marking works best when aligned to a clear rubric or mark scheme. Feedback Flows drafts grades and feedback against your criteria—including argument structure and band descriptors—while teachers review and publish the final result.

No. The platform is designed as an assistant. It speeds up the first pass of marking and feedback drafting while professional judgement stays with the educator.

Yes. Batch upload class sets, apply the same rubric, and review results cohort-wide before releasing feedback to students.

English Language and Literature, History, Geography, RE, Sociology, Politics, and other extended-writing subjects. Vocational reports and coursework essays also work well when criteria are clear.

Your rubric or mark scheme—including level descriptors and weightings—drives the draft. Comments reference how well the response meets each band, not a generic “good essay” paragraph.

Yes. Many departments use it for coursework and NEA drafts so students get criterion-level guidance early, with teachers editing tone before anything is released.
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