AI Literacy Is Built, Not Announced
New peer-reviewed research shows faculty who took a self-paced AI micro-credential grew both more confident and more careful. AI literacy is built in reps, not handed down in a policy.
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Norman Eng Just Gave Faculty the Right Questions About AI. Here Is What Comes After Yes.
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.
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The Evidence Test: How to Tell AI Education Promises From AI Education Hype
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.
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A Harvard Professor Just Wrote the AI Rules Every Classroom Needs
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.
