In order to do so, he had to confront one truth about education policy:
Obviously schooling is complex, with a number of interacting factors that contribute to student outcomes. The critical point is that a problem in one part of the system might mask positive change in another part of the system, just as repairs to the electrical system of a car might appear to have no effect if the fuel system also needs repair.
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So, he advocates the development of algorithms (not standardized tests, this time) that allow researchers to make predictions about an educational input qualitatively and quantitatively—program A is better than program B, by this X amount—as well as utilizing "epidemiological models" to study everything that goes on in classrooms, just as they are used to study the happenings in neighborhoods.
I'm probably doing a poor job of explaining his ideas, so I'd definitely recommend reading his posts. But, the take home for me is this: If we actually endeavor to study our education system in a manner where we can truly see the effectiveness of a certain initiative, it requires time horizons of a decade or so.
And that's a timeframe, Willingham rightly points out, that usually includes a politically motivated shifting of course (often in the form of a reauthorization of the Elementary and Secondary Education Act).
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