Interesting blog post by Jeff Henig on the Straight Up blog today about how algorithms play into decision-making in education (with comparisons to Google and healthcare).
"A signature element of many examples of contemporary policy by algorithm, moreover, is their relative indifference to the specific processes that link interventions to outcomes; there is much we do not know about how and how much individual teachers contribute to their students' long-term development, but legislators convince themselves that ignorance does not matter."
The one thing I do find a little odd about this post is that Henig aptly describes/makes the case for the problem, chides legislators for falling into the trap of clean solutions, but then doesn't really give us a then what. It's pretty easy to lay out the dilemma here, and then to spout a few words about the need for teamwork and professionalism. But how do we do it?
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