AI Batch Marking for Teachers

The AI Batch Marking exists because a class set of mock papers can take a full evening — or even a weekend — to mark properly. Batch Marking processes the whole class in one go, returning individual feedback per student plus a class-level breakdown of where marks were lost. Most teachers we speak to spend several hours a week on this single task; OES collapses that to minutes without losing the professional judgement that makes the output usable in a real classroom.

Outputs are editable from the first second. Each student gets the same depth of feedback the strongest in the class would normally get from you — without the time cost. You can adjust tone, tier and length, swap activities, rewrite a single question, or regenerate sections without redoing the whole document — so the AI is a strong first draft, not a black box.

Marking is calibrated to the published mark scheme and surfaces class-wide misconceptions automatically. That spec-alignment is what separates OES from a general AI chatbot: every output is built around the GCSE, A-Level or IB syllabus you actually teach, with command-word patterns, mark-scheme conventions and language that examiners reward.

Department-friendly by design. You can save, reuse and share outputs across colleagues, standardise quality between classes, and use the Batch Marking as a shared baseline for trainees and ECTs without losing your house style.