How to Design Assignments Students Can't (and Won't Want to) Cheat On With AI
The ethical alternative to AI detection is AI-proof assignment design. A two-bar framework: assignments students CAN'T cheat on (oral defense, visible process, local context, in-class collaboration) and WON'T WANT to (authentic, personally relevant, agency-driven). Plus a 4-tier AI-use policy and a worked example.

The ethical alternative to AI detection is AI-proof assignment design. A two-bar framework: assignments students CAN'T cheat on (oral defense, visible process, local context, in-class collaboration) and WON'T WANT to (authentic, personally relevant, agency-driven). Plus a 4-tier AI-use policy and a worked example.
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How to Get Past AI Slop Outputs Using Pedagogy
AI slop is a prompt problem, not a model problem. Learn the six pedagogical principles that get past slop at the generation stage, and how Secondary AI bakes each one in so every output is a lesson.

How to Evaluate AI-Generated Teaching Resources: A 6-Point Quality Check
AI-generated resources are flooding teacher marketplaces. Use this 6-point quality check to spot AI slop, verify pedagogical value, and decide in two minutes whether a resource is worth your students' time.

The AI Exit Ticket Generator: Create, Share by QR, and Summarize Class Learning
Build a formative-assessment ticket for five different purposes in seconds, share it with a QR code so students complete it online, and let AI summarize what the whole class learned before the bell rings.
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