machine teaching
Machine teaching is machine learning run backwards: instead of finding the concept from the examples, you know the concept and compute the smallest set of examples that will plant it in a particular learner.
The learner can be a program or a person; either way the teacher needs a model of how that learner learns, and the lesson is only as good as the model. It matters here because it makes distillation — shrinking knowledge to fit a mind — a computable objective rather than a craft (machine-distillation).
Links
scaffolding
The frame a builder stands on while the wall cannot yet hold anyone — and, in le…
WORD · bricktacit-knowledge
Tacit knowledge is know-how that lives in your hands and your practiced judgment…
WORD · brickstandard
The external measure a self-judgment is trued against — the plumb line the wall…
ROOM · wallWho shrinks the feature when neither expert nor learner can — can a machine be trained to distill a discrimination rather than merely perform it?
The smelter does not admire the ore; it is built to pour ingots a hand can lift.