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This illustrates two ways of teaching I’ve experienced both, each at a different university In one, professors would teach one thing then ask very different (
by nico 2y ago
This illustrates two ways of teaching
I’ve experienced both, each at a different university
In one, professors would teach one thing then ask very different (and much harder) questions on tests
In the other, tests were more of a recap of the material up to that point
I definitely learned a lot more in the second case and was a lot more motivated. It also required more effort from the professors
The two methods also test different things. The recap one tests effort and dedication, if you do the work, you get the grade
The difficult tests measure either luck and/or creativity and problem solving under pressure. It’s not about doing the work, it’s about either being lucky or good at testing
- Pet_Ant 2y ago> it’s about either being lucky or good at testing I think you are misunderstanding the experience. The first (harder questions) is testing your understanding of the material and problem. Can you applying the material to solve a novel problem? Do you understand the material not just the mechanics. Do you understand how it would interelate it with other problems? Do you understand the limitations? The second is just regurgitation. This is great for rote skills, but this isn't really learning. This is grinding until you can reproduce. These are the kinds of skills that are easily automated. This is not what we should be testing our kids.
- godelski 2y agoFwiw, I think both of you are on the same page. And yes, to bring back to ML it is the difference of generalization and memorization (compression). I wrote a longer response to a different response to my initial comment to help clarify because I think this chain is a bit obtuse and aggressive for no reason :/ (I mean you can check the Wiki page to verify what I said)