Session by session
- Session 51 · Ask & understandWeek 26
Why examples matter
Evidence: a question, sketch or new vocabulary
- Session 52 · Build & designWeek 26
Build an unbalanced picture collection
Evidence: a design draft, dataset or build
- Session 53 · ImplementWeek 27
Compare it with a balanced collection
Evidence: a working version, explained once
- Session 54 · Test & improveWeek 27
Test both models on the same held-out pictures
Evidence: a test log with at least one failure
- Session 55 · Explain & reflectWeek 28
Create a fairness exhibition panel
Evidence: an individual explanation
- Teacher no-code model
- objects/images
- tally sheet
Use the same ten held-out pictures for both models.
A model, an evaluation study or an AI-checking workflow.
Completion needs the artefact, an honest test log, an individual explanation and no open safety or privacy issue.
Projects in the same block
- RoboticsG05-P09
Bag-Movement Alert
A movement alarm for a model bag, not a security product.
Sessions 41-45Innovation only - RoboticsG05-P10
Solar Spinner
A demonstration of light-dependent motor behaviour.
Sessions 46-50Innovation only - AIG05-P11
Fair-Data Museum
A before/after dataset exhibit explaining one source of model bias.
Sessions 51-55Innovation only - IntegratedG05-P12
AI Light Adviser
A model recommends a lamp state while a person keeps control.
Sessions 56-60Innovation only
For school leadersChoose a starting point.
Build from evidence.
Pick the classes and a plan. We map the timetable, kit and safety checks with you, then pilot one class first.
- Prospectus and class-wise plan
- Kit and readiness check
- Pilot one class first
- Evidence at every milestone
Let's plan your pilot.
Share a few details and we will send the right plan for your classes.