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This is true, these "laws" are approximations and imperfect reductions. Which one is useful or descriptive will depend on the specific example. Optimizing ML
by netcan 2y ago
This is true, these "laws" are approximations and imperfect reductions.
Which one is useful or descriptive will depend on the specific example.
Optimizing ML VS Optimizing a social media algorithm VS using standardized testing to optimize education systems.
There is no perfect abstraction that applies to these different scenarios precisely. We don't need that precision. We just need the subsequent intuition about where these things will go wrong.
- onethought 2y agoI missed the citation on his education point. Has someone proved that “teaching to the test” leads to lower educational outcomes than not having tests?
- ismailmaj 2y agoI saw some professors share the least about their tests to make sure we truly understand the material, sounds to me like a real-life usage of a train/test split. It’s not far fetched to think they employed this technique because teaching to the test didn’t work well by itself.
- netcan 2y agoIDK. I don't think we can actually have a discussion about education where all statements are supported by indisputable evidence. There do happen to be citations for this question but I doubt any really clears an "indisputable evidence" standard. That's the nature of the field. Even if the whole discussion was evidence based and dotted with citations, we'd still be working with a lot of intuition and speculation.
- schrectacular 2y agoNot a citation, but I believe it's a mediocritizing measure. For some teachers and some students, teaching to the test is probably better. I suspect more heavily concentrated in the bottom 50% of each group. For a subset of great teachers and great students, it's a detriment.