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Eight lessons for schoolteachers anywhere who now have to teach and use AI, usually without training. How to explain it to a class that asks hard questions, plan lessons without handing over your judgement, build worksheets and differentiated versions that actually differentiate, mark without being unfair, handle AI-written homework when detectors do not work, redesign the assignments that matter, teach students to use it honestly, and run all of it with chalk when the power is out.
Start the first lesson- Explaining AI to a class that argues backIt predicts likely next words from human writing, so sounding right and being right come apart.
- Planning with AI, keeping the judgementAI supplies breadth; you supply the class. Ask it for misconceptions, not for whole lesson plans.
- Worksheets, and three versions of themName the axis — support, representation, extension — or you get dilution, and always work the sheet yourself.
- Marking: what a machine cannot fairly judgeA machine can give feedback; a grade you cannot explain to a parent is not a grade.
- Why detectors fail, and what to do insteadDetectors flag careful second-language writing as AI; use process evidence and conversation instead.
- Assignments AI cannot do for youDifficulty does not stop AI; specificity to your room, your week and your students does.
- Teaching students to use it honestlySet a permitted level per task and require one line of disclosure; bans only make use invisible.
- An AI lesson with no screen and no powerThe mechanism — prediction, confident error, learned from us — can be taught with chalk and voices.
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