Rubric marking software built for educator control

Apply consistent criteria across essays, coursework, and structured tasks—then review AI-drafted marks and feedback before students see anything.

The problem with inconsistent rubric marking

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.

Features that matter for rubric workflows

• Rubric builder — Create or upload criteria, weightings, and level descriptors.
• Criterion-level feedback — See which bands were applied and edit comments per criterion.
• 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.

Rubric marking across audiences

Teachers regain evenings during peak marking. FE colleges standardise vocational assessment feedback. ITPs align gateway evidence to EPA-style criteria. MATs drive trust-wide consistency while still allowing subject nuance in final review.

Getting started

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.