← Part of our AI marking platform
Rubric marking built for educator control
Apply consistent criteria across essays, coursework and structured tasks—then review AI-drafted marks and feedback before students see anything. Build or import the rubrics your department already trusts.
- Rubric builder & import
- Criterion-level feedback
- Batch cohort marking
- Moderation-ready exports
Inconsistent rubric marking wastes moderation time
Rubrics exist to make grading fair and transparent, but manual rubric marking is slow—especially when every script needs criterion-by-criterion comments. Different teachers interpret bands slightly differently; moderation meetings then become long reconciliation sessions.
Rubric marking software should not flatten professional judgement. It should make the routine part of applying criteria faster, so teachers spend time on borderline decisions and teaching responses—not rewriting the same feedback phrase forty times. Rubric marking is a core capability of our AI marking platform.
What matters for rubric workflows
Rubric builder
Create or upload criteria, weightings and level descriptors your team already trusts.
Criterion-level feedback
See which bands were applied and edit comments per criterion before release.
Batch cohort marking
Run one rubric against a whole class upload in a single session.
Question paper mode
Cross-reference structured Q&A papers with mark schemes.
Targeted follow-up
Generate worksheets from rubric gaps for individual learners.
Moderation exports
Evidence packs for internal QA, MAT reviews and sampling.
Design criteria once, apply them everywhere
Build rubrics in Feedback Flows or import the schemes your department already uses. Shared libraries help MATs and federations keep descriptors consistent without forcing every subject into the same mould.
Marking extended writing against those rubrics? See AI essay marking. School rollout and DPAs: AI marking for UK schools.
Rubric builder — criteria, weightings and level descriptors.
Moderation that starts from shared criteria
When every marker works from the same rubric library, moderation meetings focus on genuine borderline decisions rather than reconciling incompatible comment styles. AI drafts reduce the fatigue-driven drift that appears late in a marking pile; teachers still own the final band.
Most teams begin with one assignment type—mock essays, unit coursework, or a vocational portfolio—and compare AI rubric drafts to a human-marked sample set. Once moderators are satisfied, batch marking scales across cohorts.
Frequently asked questions about rubric marking
See rubric marking in action
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