Short, practical things that work on Monday morning.
Feedback that rewrites the sentence does the thinking for them. Feedback that names what is missing makes them do it.
'Excellent analysis' tells students nothing they can act on. Paste your rubric and make the AI replace every judgement with a description.
Exit tickets die of ambition. One well-chosen question, ninety seconds, and you know exactly what tomorrow needs to fix.
Polished, confident prose is exactly what a language model produces when it is wrong. Give students marking codes and make them annotate the answer.
Students can ace the retrieval starter and still not see what it was for. The bridge between lessons has to be said out loud.
Boredom and anxiety are the same design fault: one task, one difficulty, thirty different skill levels. Let them choose where to step in.
Trips, simulations and practicals do not teach by themselves. The learning happens in the structured debrief, which is the part that gets cut.
If your top level is the only respectable place to land, most of your class fails by design. Anchor the middle as the genuine target.
Productive failure needs a precisely calibrated task: solvable in part with what they know, unsolvable without what you are about to teach. Let AI calibrate it.
When accounts contradict, students pick a winner or give up. Historians treat the contradiction itself as evidence. Teach that move with a two-column matrix.
Students who explain a concept in their own words first learn more from whatever the AI says next. Order is the whole trick.
Breaks are not the problem; the ragged five minutes after them is. Decide the way back in before you let them out.
