Earlier quoted context omitted.
This matches my experience of an IT education in university perfectly. 90% of my class just didn't get it at all and the remaining 10% had a lot of experience in the field already (there were a small amount of extremely smart folks as well of course - they needed no background). Kind of defeats the purpose of teaching, but it does serve to weed out the folks that can't pick things up very fast. I think that is one of…
But we have machines for that? Data access and repetition in itself is worthless. Refinement, and gaining new data from old recipes is the actual value. Why construct a machine, that basically selects for the wrong value, creating a reproduction academia, instead of a innovation academia. Why weed out what was your original value proposition? It seems very strange.
The need to have seen something before a class to have a chance at passing it well is fundamentally wrong.