The method / A working practice
The learner already has a world.
Start there. Give them room to notice a problem, understand it, and make something useful for the people around them.
From attention to something real.
This teaching practice grows out of learning through chess, basketball, and building software. It brings a simple question into each session: what can we understand well enough to change?
These steps give us a place to begin. We return to an earlier step whenever the work teaches us something new.
Step 01
Notice
Start with something the learner actually cares about. What is difficult, missing, or worth making better in their own world? Describe it before choosing a tool.
Step 02
Listen
Talk to the people who live with the problem. Ask what they have tried and what would help. Their answers may change the question.
Step 03
Connect
Map the people, resources, and constraints involved. Look for a useful idea from somewhere else: a game, a story, a science lesson. Check where the comparison fits and where it breaks.
Step 04
Imagine
Sketch a few possible responses. Let the learner explain the tradeoffs and choose something small enough to try. The teacher helps make the idea buildable.
Step 05
Build
Make a first version together. When AI is useful, the teacher guides its use and the learner questions, directs, and checks the result. Keep the reasoning visible.
Step 06
Try and revise
Put the result in front of the people it is meant to help. Watch what happens, ask what is missing, and improve one thing. Agree together what to share publicly.
Keep the understanding.
A finished project matters. So does being able to explain the choices behind it, notice a mistake, and make another version. That is what I want learners to carry into whatever they try next.