1,600 Teachers Just Got AI Mentors. Access Was Never the Point.
OpenAI and the Walton Family Foundation are putting mentors in rooms with 1,600 teachers. The lesson for everyone else: access to AI means nothing without practice.
OpenAI and the Walton Family Foundation are putting mentors in rooms with 1,600 teachers. The lesson for everyone else: access to AI means nothing without practice.
The largest US teachers union just asked schools to keep AI out of elementary classrooms. Read past the headline and it becomes a lesson in teaching AI literacy in the right order.
Norman Eng’s new Faculty Focus framework offers four evidence-based questions for deciding when AI belongs in a classroom. The questions are sharp. The missing piece is the integration model for what happens once you say yes. Here is how SeedStacking fills that gap.
When someone claims a new AI tool improves learning, the right question is whether the evidence is real, meaningful, and sustained. Here is a 4-question filter you can apply to any AI education promise before you adopt it, recommend it, or build a curriculum around it.
Four 2026 studies just converged on the same finding. The variable is not whether you use AI, it is how. Here is what the cognitive science actually says, and what to do about it Monday morning.
On May 11, EU education ministers approved the bloc’s first formal stance on AI and teaching. The conclusions are quietly radical, and they expose a gap US policy keeps stepping around.
The AI cheating debate focused on students for three years. Teacher evaluation portfolios face the same integrity question, and nobody is asking it. The answer changes everything about how we evaluate professional competence.
Time Magazine just named the biggest threat AI poses to learners. It’s not job loss. It’s cognitive surrender, the moment you stop thinking for yourself. New research reveals exactly when AI helps your brain and when it quietly replaces it.
Most educators are asking ‘How can I use AI?’ That’s the wrong question, and it’s why so many AI experiments stall. Here’s the better question, plus three ways AI actually changes how students learn.
A Harvard professor’s argument first framework for AI shows every educator what works: clear ground rules that force students to think before they prompt, turning AI into an accelerator rather than a shortcut.
AI literacy education built on the SeedStacking™ methodology. Small daily wins that compound into genuine fluency.
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