1
Teacher marks as usual, then records the outcomes
The workflow begins with the marking teachers already do. Record your classes' outcomes in your private workspace — or start with sample data if you want to explore first.
How It Works
From marking to teacher-approved action.
Marking -> mastery signals -> misconception clusters -> teacher-approved interventions -> HOD visibility.
Beta data safety
Private to your workspace, with teacher approval throughout.
Your classes, assignments, and marking records stay inside your own sign-in-protected workspace, and you can have your data deleted if you leave. Keep student personal identifiers out of uploads. Automated reading of scanned answer scripts is still in testing — sample scripts are provided for that step.
Learn more about beta data safety2
MyScienceHOD surfaces the patterns
The system surfaces class-level mastery signals, high-friction questions, and misconception clusters from the marking evidence teachers already create.
3
Teacher reviews and approves
AI suggestions are drafts. Teachers review the evidence, adapt suggested interventions, and approve final judgement before anything feeds post-marking intelligence.
4
HOD sees department trends
HODs see department-level mastery and misconception trends for curriculum support, moderation, and resourcing without asking teachers to write extra reports.
5
Remedial support is planned
Teacher-approved interventions can become remedial packs, reteaching prompts, or department support actions depending on the evidence.
6
Progress is reviewed
In authorised future workflows, teacher-approved follow-up evidence can support the next review cycle. Real student scripts are not currently processed.
One connected loop. Teacher-reviewed support signals, not unsupported guarantees.
Marking results become mastery signals. Mastery signals become draft interventions. Teachers approve final actions before any records feed post-marking intelligence or department-level trends.