Session by session
- Session 56 · Ask & understandWeek 28
Can a machine tell animals apart by sound?
Evidence: a question, sketch or new vocabulary
- Session 57 · Build & designWeek 29
Match each light to an animal picture
Evidence: a design draft, dataset or build
- Session 58 · ImplementWeek 29
Use the model's suggestion with a check
Evidence: a working version, explained once
- Session 59 · Test & improveWeek 30
Test clips with background noise
Evidence: a test log with at least one failure
- Session 60 · Explain & reflectWeek 30
Explain why the model got one wrong
Evidence: an individual explanation
- Teacher computer
- recorded animal sound clips
- picture board with lights and switches
Ten clips; unclear sounds go to 'listen again', never straight to a light.
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
- RoboticsG04-P09
Crank Pulley Lift
A hand-cranked pulley that lifts a small basket to a shelf.
Sessions 41-45Innovation only - RoboticsG04-P10
Motor Pulley Lift
The pulley lift, now driven by a guarded motor with an on-off switch.
Sessions 46-50Innovation only - AIG04-P11
Animal Sound Model
A sound model the teacher trains on recorded animal sounds, tested on new clips.
Sessions 51-55Innovation only - IntegratedG04-P12
Animal Sound Signal
The sound model suggests which animal it heard; a child checks before pressing that animal's light.
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.