What's real in AI for your classroom this week, and what's just loud. Compiled by a chemistry teacher turned AI engineer. Five minutes, every week.
NYSUT passed a resolution urging no 1:1 devices in PreK-2, no student-facing chatbots for kids under 16, and classroom AI that stays educator-led. A resolution isn't law, but it's usually the first place you see what'll land in district policy and contract talks a year later. And it's worth noticing this isn't coming from people who don't get the technology. It's coming from teachers. Chalkbeat →
Teachers worked up a set of lines for AI that simulates friendship, counseling, or a relationship with a kid, plus clear labeling when an AI is playing a historical figure. Alberta has already steered around 50,000 educators away from this stuff. The companion-bot thing is showing up in classrooms way ahead of any guidance on it, and this is at least something concrete to hold. Brookings →
The biggest district in the country pushed its final AI policy to the fall after the draft blew up: a "traffic light" framework (assessment red, brainstorming green) drew heavy backlash, a moratorium petition, and complaints that it barely touched what students themselves are allowed to do. Word is the next version gets stricter for the youngest grades. Whatever NYC is wrestling with now tends to reach the rest of us eventually. Chalkbeat →
Google announced Gemini "study notebooks" that build lessons from your actual class context, plus a Classroom integration. That's at least pointed at the thing that matters, a tool that knows something about how your class works instead of spitting out generic photosynthesis worksheets. But it's a launch claim and nobody's run it in a real room yet. Try it on one lesson before you believe the keynote. Google →
Horse in the race, as always: this is my category. I'm building My Planning Partner to close this exact gap, so take my side-eye at a competitor's launch with a grain of salt and judge the thing on your own lesson, not on what either of us tells you.
Stanford reviewed 800+ studies on AI in K-12. Only about 20 are rigorous enough to prove cause and effect, and none were run in a U.S. classroom. So when a vendor says "studies show," ask which studies.
Two groups of kids used the same model to study. The ones whose chatbot just gave them answers ended up 17% worse on the test than kids who'd had no AI at all. The ones whose tool was built to give hints instead were fine. The model didn't decide that. The design did.
Your one move this weekPick one place you're letting students use AI and ask whether the tool is doing the part you actually want them to struggle with. If their work comes out polished but they never really had to think, that's the 17% group, and the fix usually isn't banning anything. It's letting the AI fetch and draft and check, and keeping the thinking on them.