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And trying to elicit higher levels of participation through standardized rubrics is tricky at best, and downright harmful and inequitable at worst, and a royal logistical pain in any case. We hope to create an environment where active learning takes root organically. We definitely don't end up with what we'd envisioned.
For about three centuries it seemed as if mathematical equations were the ultimate way to describe the natural world—but in the past few decades , and particularly poignantly with our recent Physics Project , it’s become clear that simple programs are in general a more powerful approach.)
What about systems that adapt or learn? What about the foundations of mathematics? But that email was right before I discovered yet more kinds of computational systems to explore, and before I’d understood applications to biology, and physics, and mathematics, and so on. What about systems based on constraints?
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