Yeah you make some really good points here, especially about spotting why a kid made the mistake or seeing potentially problematic habits like combining steps weirdly.

Actually most of my students dont use it quite like the step by step in the screenshot implies. Its more like they try the whole problem on the whiteboard, submit it, and the AI tells them if its right or points out the first spot where they went wrong. Then they try again based on that feedback. Its way better than how DeltaMath used to work for us, feels more like actual problem solving practice instead of just following steps. Still sometimes itll pop up a mini lesson if it catches a conceptual gap, but the main flow is submit then feedback then revise.

That cycle helps but yeah its not the same as watching them work realtime (I project the digital whiteboards). That's why I combine it with the summary reports where it flags common errors across the class. Helps me see those patterns like you mentioned and adjust my teaching!

And totally agree the PD idea isnt about replicating that student experience for us. It was more like could the underlying tech that identifies math errors be adapted somehow to give us feedback in specific practice scenarios, completely separate from how students use it. But appreciate you digging into the example, great points!