In designing the Learning Engine, there were many factors we worked to keep in mind and that influenced our decisions. One of the big ones was the Goldilocks Rule, as defined by James Clear, the author of Atomic Habits. He defines it as follows: The Goldilocks Rule states that humans experience peak motivation when working on tasks that are right on the edge of their current abilities. Not too hard. Not too easy. Just right. And has illustrated it as follows: When you hear people talk about personalization, they often frame it as “meeting each student where they are.” Which is really another possible way of framing this Goldilocks Rule. That said, depending how it gets applied (and implemented) you can find students are either not being challenged enough (it’s closer to too easy) or being challenged too much (it’s closer to too hard). It can be difficult to stay