The Data Trap

There was a trap we found ourselves falling into back in the STAR testing days with data. We spent the majority of our time and energy focused on the kids just below the line. The ones close to being proficient. The ones that theoretically should be easy to move. That was how we (and many others) moved district wide performance and attempted to avoid the dreaded PI (program improvement). Targeted intervention with a subset of kids. The bubble kids. For many districts it worked. But the unintended consequence was that it left lots of kids behind.

I will never forget a principal at a school in a district I won’t name who told a group of parents that only kids that scored just below the line were eligible for their after school support programs, because there was no point in providing services to kids that were so far below the line they wouldn’t be able to move enough to count. Straight up. Seriously?

I’m writing this in part to remind myself not to fall into the same trap. All kids deserve our very best. Not just the one’s closest to a line on a test.

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