"When supporters of value-added and other growth models talk about
low-stakes applications, they tend to assert that the data will inspire
and motivate teachers who are completely unaware that they’re not
raising test scores. In other words, confronted with the value-added
evidence that their performance is subpar (at least as far as tests are
an indication), teachers will rethink their approach. I don’t find this
very compelling. Value-added data will not help teachers – even those
who believe in its utility – unless they know why their
students’ performance appears to be comparatively low. It’s rather like
telling a baseball player they’re not getting hits, or telling a chef
that the food is bad – it’s not constructive."
aqui.
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