Overspecification is something I wonder about when I hear about the School of One program in New York City, which I discovered via the Freakonomics podcast. There they collect a lot of data, multiple times a day to carefully observe the individual student and tailor their environment based on what works and what does not. This sounds like a great way to customize the environment for the student if used carefully. My own biases lead me to the suspicion too close of observation, and too much tailoring is likely to be detrimental in the longer term. It’s a bit quantum in that the more detail you have about a student at one snapshot in time, the less you know about that individual’s trajectory of learning. If something worked well today, maybe it will tomorrow, or maybe not. If the people customizing a student’s learning environment tailor it to what works today, then they’ll forever be trying to catch up to where the student needs to be. But they’ll certainly know there is a problem even if they don’t know why.
The constant testing should provide a wonderful dataset on how well different approaches to learning work with different students and to answer the questions I note above. I’d also be curious to see if there is some sort of half life where the effectiveness of certain learning methods deteriorate over time (in the same way perhaps, that test scores tend to converge on the mean).
I need to find out more about this program because it sounds so full of potential.