AI to – A California charter network says the most useful AI in classrooms isn’t a chatbot for students—it’s a system that studies years of coaching and observation data to help teachers choose what to try next. Its pilot with an eighth-grade teacher at Watsonville Pr
On weeks when a lesson just won’t land, the hardest part isn’t teaching—it’s deciding what to do next.
An eighth grade teacher at Watsonville Prep. Patrick Carr. had been working for weeks to get his students to engage with a core reading skill. He changed how class started: warm-ups that students do when they walk in. incentives aimed at motivation. and the way students were organized in groups. Some adjustments helped a little. Nothing stuck.
That kind of loop—try. watch. adjust. start over—is how classrooms often run when teachers are operating without a clear map of what has worked in other rooms. Navigator Schools. a network of public charter schools serving more than 1. 800 students across California. set out to change that by testing a different use of artificial intelligence: not tools built to answer students. but tools built to support teachers’ next instructional move.
artificial intelligence in education teacher coaching instructional practice classroom observations Navigator Schools Patrick Carr Watsonville Prep California charter schools AI literacy
So now AI is gonna tell teachers what to do? cool cool.
I feel like this is just another way to replace teacher judgment. They say it’s “coaching” but it sounds like a chatbot admin tool. Also charter network in California… seems sus.
Wait, they’re using years of coaching videos or whatever to pick the next lesson move? Like it’s gonna notice if the warm-ups didn’t work and then it “decides” the incentive and groupings? Idk man, I teach at home (kinda) and half the time you gotta switch the whole vibe, not just the plan.
I’m not against AI in general but this sounds like they’re making a system to track what teachers do in classrooms… like surveillance. And the article said nothing stuck, so wouldn’t that prove AI is useless? They changed warm-ups, incentives, groups and it still didn’t land, so why repeat the same loop with a machine? Seems like they’re just selling it as “instructional practice” when it’s probably just data collecting.