ChatGPT for Teachers
100 articles in series
One hundred essays on OpenAI's ChatGPT for Teachers launch — free GPT-5.1 Auto access for verified U.S. K-12 educators through June 2027, SheerID verification, FERPA and district admin controls, the $23M AFT National Academy for AI Instruction built jointly with Microsoft and Anthropic, classroom workflows, the cheating and academic-integrity debate, and how it stacks up against Gemini for Education, Copilot for Education, and Claude for Education.
Differentiating One Lesson for Five Reading Levels
A ChatGPT workflow for adapting one passage across five reading levels for a mixed-ability class — the prompt technique and the calls only you can make.
A Week of Lesson Plans, Built in ChatGPT
A concrete workflow for turning one curriculum standard into five days of ready-to-teach lesson plans in ChatGPT — the prompt sequence and what to check.
What a Three-Vendor Classroom Looks Like
Most districts won't pick just one AI vendor. Here's the realistic three-vendor stack — Gemini, ChatGPT, Claude — and the governance tax it quietly adds.
Why OpenAI Went Free When Rivals Still Charge
Google and Microsoft bundle education AI into existing contracts. OpenAI gave it away. An analysis of the free-through-2027 offer as a competitive land-grab.
The Big Four in the Classroom: Picking an AI
ChatGPT, Claude, Gemini, or Copilot? A practical decision framework for districts evaluating all four AI assistants, with a full side-by-side comparison table.
ChatGPT for Teachers vs. Claude for Education
Two rival AI labs, one identical pitch: free for K-12 educators. A head-to-head on offer structure, what's confirmed vs. not, and the ecosystem difference.
ChatGPT for Teachers vs. Copilot for Education
For districts invested in Microsoft 365, the AI choice is subtle. A head-to-head on standalone workspace vs. Copilot living inside Word, Outlook, and Teams.
ChatGPT for Teachers vs. Gemini for Education
A head-to-head on the two AI assistants K-12 educators actually reach for: free offer structure, integration depth, context window, and best-fit use case.
Why a Union, Not a Vendor, Leads Teacher AI Training
A union runs teacher AI training instead of the tech giants funding it. Futurism smells a motive. Here's the skeptic's case — and why the union still matters.
What "AI Fluency" Actually Means for a Teacher
AI fluency for teachers isn't prompt engineering. It's four practical skills: judging output, knowing what to keep human, data basics, and teaching AI literacy.
Inside the AFT's NYC AI Training Campus
The AFT's flagship AI training campus opens in New York City as the hub before a national rollout. Here's what a physical teacher-AI campus actually does.
400,000 Teachers by 2030: Can Training Scale That Fast?
400,000 teachers trained by 2030 means roughly 220 educators a day, every day. We run the scale math on the AFT AI Academy's ambitious five-year target.