Session by session
- Session 16 · Ask & understandWeek 8
Can a machine learn from pictures?
Evidence: a question, sketch or new vocabulary
- Session 17 · Build & designWeek 9
Choose and label example pictures
Evidence: a design draft, dataset or build
- Session 18 · ImplementWeek 9
Watch the teacher train the model
Evidence: a working version, explained once
- Session 19 · Test & improveWeek 10
Test ten new cards and count the mistakes
Evidence: a test log with at least one failure
- Session 20 · Explain & reflectWeek 10
Show the 'not sure' tray and say why it matters
Evidence: an individual explanation
- Teacher computer
- Teachable Machine
- picture cards
- two-light switch box
Ten cards; unsure or disputed cards go to the 'not sure' tray.
The AI suggests. A person checks and operates the hardware.
Completion needs the artefact, an honest test log, an individual explanation and no open safety or privacy issue.
Projects in the same block
- RoboticsG03-P01
Light-Up Card
A greeting card with a light that turns on only when its switch is pressed.
Sessions 01-05All plans - RoboticsG03-P02
Robot Steps Game
An unplugged floor game where a classmate 'robot' follows step cards exactly.
Sessions 06-10All plans - AIG03-P03
AI Around Me
A class picture map that separates machines that learn from machines that only follow a switch.
Sessions 11-15All plans - IntegratedG03-P04
Picture Sorter Lights
A teacher-run picture model suggests fruit or vegetable; a child checks, then switches on the matching 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.