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Mark My Tests
Mock exams

AI mock exam marking for reviewed class results.

Mark mock papers faster by drafting question-level marks and feedback against your scheme, then reviewing before results are shared.

Question level

Draft marks and justifications at the level teachers need for mock analysis.

Class insight

Turn the marking run into topic patterns and student feedback.

Review first

Use flagged responses to focus teacher moderation time.

Before results

Draft the marks, then moderate

Mocks influence teaching plans, interventions, and sometimes predicted grades. The AI should support, not replace, teacher judgement.

  • Upload the mock paper and mark scheme.
  • Review low-confidence and high-impact responses.
  • Export only after teacher checks are complete.
After marking

Move straight into analysis

Mock marking is most valuable when results quickly become usable teaching information.

  • Identify common question-level weaknesses.
  • Create student feedback outputs.
  • Save assessment history in account workflows.
Department

Scale across a cohort

Department teams can use shared credits and common workflows for larger mock windows.

  • Shared credit pools for departments.
  • Repeatable workflow for multiple classes.
  • Exportable results for department review.
FAQ

Questions teachers ask before trying AI marking

Can AI mark mock exams?

AI can draft marks for mock papers when a teacher supplies the paper and mark scheme. Teachers should review and moderate before using the results.

Should mock exam AI marks be checked?

Yes. Mock results can carry high consequences, so teacher review and moderation are important.

Can departments use MMT for cohort mocks?

Yes. MMT supports team credit pools and class-set workflows suited to department mock windows.

Start with your own paper. First session on us.

No credit card to try. No subscription. Your scripts; your judgement.