Session by session
- Session 11 · Ask & understandWeek 6
How do machines learn from examples?
Evidence: a question, sketch or new vocabulary
- Session 12 · Build & designWeek 6
Choose and label example pictures
Evidence: a design draft, dataset or build
- Session 13 · ImplementWeek 7
Watch the teacher train the model
Evidence: a working version, explained once
- Session 14 · Test & improveWeek 7
Test ten new pictures
Evidence: a test log with at least one failure
- Session 15 · Explain & reflectWeek 8
Explain one mistake the model made
Evidence: an individual explanation
- Teacher computer
- Teachable Machine
- object picture cards
Ten new pictures; right, wrong and not sure counted.
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
- RoboticsG04-P01
Switch It Up
A circuit with a home-made paper-clip switch that turns a light on and off.
Sessions 01-05All plans - RoboticsG04-P02
Buzzer Code Tapper
A tapper that sends short and long buzzes in a simple code.
Sessions 06-10All plans - AIG04-P03
Teach the Machine
A picture model the teacher trains from examples the class chose and labelled.
Sessions 11-15All plans - IntegratedG04-P04
Recycle Helper Lights
A teacher-run model suggests recyclable or not; a child checks and switches the green or red light.
Sessions 16-20All plans
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.