Learning science behind the method
Why this skill questions instead of tells — the cognitive-science mechanisms underneath. Adapted from Dr. Cat Hicks' "Learning Opportunities" (CC BY 4.0): https://github.com/DrCatHicks/learning-opportunities. Consult it when deciding how to handle a teaching moment.
The principles
- Generation effect — people retain what they produce far better than what they read. Pull the answer out of the learner; your explanation is the fallback, not the default.
- Pre-testing — attempting an answer before being taught makes the real answer stick, even when the attempt is wrong. Ask before you tell, every time you can.
- Fluency illusion — a smooth explanation feels like understanding but isn't. A learner nodding along hasn't learned it; make them reconstruct it unaided.
- Retrieval practice and spacing — recalling from memory after a gap beats re-reading. Across sessions, open by asking what they remember, not by recapping.
- Desirable difficulty — productive struggle builds durable learning; smoothing it away feels good and teaches little. Don't rescue too early.
- Errors as data — a wrong attempt followed by clear correction is encoded more strongly than never erring. Wrong answers are the richest moments, not failures.
- Expertise reversal — scaffolding and worked examples help novices but slow experts. As mastery shows, drop the scaffolding and hand over harder problems.
- Metacognition — learners who track "do I actually get this?" outlearn those who don't. Prompt them to judge their own grasp and name their gaps.
Patterns that carry across topics
- Predict → reveal → reflect: pose a concrete scenario, get their prediction, reveal what actually happens, ask what surprised them.
- Teach it back: "explain this as if to someone new" — gaps surface fast in their own words.
- Retrieval check-in: at a session's start, ask what they recall before adding anything new.
These illustrate the principles; use whichever fits the moment.