Session by session
- Session 71 · Ask & understandWeek 36
Define a task, trigger, resources and limits
Evidence: a question, sketch or new vocabulary
- Session 72 · Build & designWeek 36
Create a portable workflow specification
Evidence: a design draft, dataset or build
- Session 73 · ImplementWeek 37
Add examples, tests and version history
Evidence: a working version, explained once
- Session 74 · Test & improveWeek 37
Review optional tool scopes and dependencies
Evidence: a test log with at least one failure
- Session 75 · Explain & reflectWeek 38
Run a repeatability and failure test
Evidence: an individual explanation
- Markdown/text
- test files
- local scripts; optional teacher Skills demo
Three valid and three invalid tasks with expected outcomes.
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
- RoboticsG11-P13
Track Experiment Platform
A reproducible robotics experiment with a baseline and condition comparison.
Sessions 61-65Innovation only - RoboticsG11-P14
Connected-System Simulator
A local connected-system simulator; no claim of built-in UNO Wi-Fi.
Sessions 66-70Innovation only - AIG11-P15
Reusable AI Skill Evaluation
A documented reusable AI workflow; trainer installation only on an eligible approved workspace.
Sessions 71-75Innovation only - IntegratedG11-P16
Responsible Smart-Automation Capstone
A bounded AI-assisted line-following/automation study with reproducible evidence.
Sessions 76-80Innovation 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.