Designing Explanations: A Playbook for AI That Teaches
Great explanations feel simple without being simplistic. They rely on structure, not magic. An AI elaborator can apply that structure consistently — if you teach it the right moves.
Chunk and Sequence
Break complex ideas into small parts with clear transitions. Label steps and warn about common pitfalls. Sequence from familiar to new.
Use Concrete Analogies
Map the abstract to the concrete: queues to checkout lines, encryption keys to locked mailboxes. Analogies reduce cognitive load and increase recall.
Scaffold, Then Fade
Offer guided steps first, then remove supports so learners can try alone. Provide checks for understanding and lightweight practice.
Retrieval and Reflection
End with quick prompts that make learners recall in their own words. Reflection cements understanding.
Conclusion
Teaching is design. An AI elaborator that follows these patterns can make complex topics accessible at scale.
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