A teacher-facing companion to The Effortless Trap: the six moves in plain words, plus classical and AI intervention menus mapped to the same frame.
Think of what a student knows as a map: dots for ideas, lines for the links between them. Learning means growing a new dot and tying it firmly into the map. These six moves are how that happens, in order.
Part one, the six moves in plain words
The teacher opens, the student leans in
Before anything hard, the teacher sparks a reason to care and asks the class to dust off a few things they already know. Curiosity switches on, and the part of the map the lesson will build on lights up, ready.
On the map: a couple of dots start to glow. Nothing new yet, just the ground warming up.
The teacher sets a real problem, the student searches
The teacher gives a genuinely hard problem before teaching the method, and holds back the answer. The student rummages through their map looking for ideas that might fit. Some guesses are right, many are wrong. This searching, this being a bit stuck, is not wasted time. It is the learning beginning.
On the map: several dots light up as the student tries them, including wrong ones. The struggle is this search.
The teacher asks, never tells, the student narrows in
Now the teacher guides, but with questions, not answers. The wrong guesses fall away; the promising ideas get sharper. Those ideas start reaching out, ready to grab the new idea the moment it arrives.
On the map: wrong dots dim, right ones stay lit and grow links that reach outward, ready, but with nothing on the end yet.
The teacher shows one clean example, the new idea lands
Only now, after the struggle has prepared the ground, does the teacher show a clear worked example. It arrives as a small new piece and snaps onto those waiting links. The map does not just get bigger, it gently reshapes to fit the newcomer.
On the map: a new piece attaches to the reaching links, and one old dot shifts over to accommodate it.
The teacher sets a second problem, the new idea gets used
A new connection is fragile. So the teacher hands over a second, slightly different problem that forces the student to actually use the new idea, not just nod at it. Each use thickens the links and weaves the new piece into the wider map.
On the map: the new links thicken and tie into the rest of the map. Fragile becomes firm.
The teacher steps back, the student stands alone
Finally, the student meets the idea with no help at all, a fair but real challenge. If it holds up on their own, learning has truly happened. That ability to stand without the scaffolding is the only proof that counts.
On the map: the new piece is queried on its own and holds firm, no props, no help. That is the evidence.
The picture tells you what has to happen at each move. The menus below tell you how. They are a shelf of tools you can pick from when you redesign a lesson.
Read them side by side. For most moves, an AI tool does not replace a classical one. It scales it: more practice, faster feedback, for every student at once. Or it frees you to spend scarce human time where it matters most: judgement, encouragement, and the protected struggle.
Scope note: this guide covers learning one idea well, the first time. Long-term memory needs review and spacing on top of this, a second layer that reinforces, but does not replace, the six moves here.