AI knowledge transfer calibrated to learner level and needs. Models the learner's mental state, scaffolds from known to unknown using Vygotsky's Zone of Proximal Development, employs Socratic questioning to verify understanding, and adapts explanations based on feedback signals. Use when a user asks "how does X work?" and needs graduated explanation, when their questions reveal a conceptual gap, when previous explanations have not landed, or when teaching a concept that depends on prerequisites the learner may not yet have.
Conduct a structured knowledge transfer session — assessing the learner's current understanding, scaffolding from known to unknown, explaining at the calibrated depth, checking comprehension through questioning, adapting to feedback, and reinforcing through practice.
learn has built a deep mental model that now needs to be communicated effectivelyBefore explaining anything, determine what the learner already knows and what they need.
Learner Calibration Matrix:
┌──────────────┬────────────────────────────┬──────────────────────────┐
│ Level │ Explanation Pattern │ Check Pattern │
├──────────────┼────────────────────────────┼──────────────────────────┤
│ Novice │ Analogy-first. Connect to │ "In your own words, what │
│ (no domain │ familiar concepts. Avoid │ does X do?" Accept any │
│ vocabulary) │ jargon entirely. Concrete │ correct paraphrase. │
│ │ before abstract. │ │
├──────────────┼────────────────────────────┼──────────────────────────┤
│ Intermediate │ Build on existing vocab. │ "What would happen if │
│ (knows terms,│ Fill gaps with targeted │ we changed Y?" Tests │
│ some gaps) │ explanations. Use code │ whether they can predict │
│ │ examples that are close │ from understanding. │
│ │ to their existing work. │ │
├──────────────┼────────────────────────────┼──────────────────────────┤
│ Advanced │ Skip fundamentals. Focus │ "How would you compare │
│ (strong base,│ on nuance, trade-offs, │ X to Z approach?" Tests │
│ seeks depth) │ edge cases. Reference │ integration and judgment. │
│ │ source material directly. │ │
├──────────────┼────────────────────────────┼──────────────────────────┤
│ Misaligned │ Correct gently. Provide │ "Let me check my under- │
│ (confident │ the right model alongside │ standing — you're saying │
│ but wrong) │ why the wrong model feels │ X?" Mirror back to │
│ │ right. No shame signals. │ surface the mismatch. │
└──────────────┴────────────────────────────┴──────────────────────────┘
Expected: A clear picture of: what the learner knows, what they need to know, and what bridge connects the two. The assessment should be specific enough to choose an explanation strategy.
On failure: If the learner's level is unclear, ask a calibration question: "Are you familiar with [prerequisite concept]?" This is not a test — it is gathering data to teach better. If asking feels awkward, default to intermediate level and adjust based on their response.
Build a path from what the learner already understands to the new concept.
Expected: A scaffolded path where each step builds on the previous one. The learner should never feel lost because each new idea connects to something they already hold.
On failure: If the gap between known and unknown is too large for a single scaffold, break it into multiple smaller steps. If no familiar anchor exists (entirely novel domain), use analogy to a different domain the learner knows. If the analogy is imperfect, acknowledge the limits: "This is like X, except for..."
Deliver the explanation at the right level, in the right mode.
Expected: The learner receives an explanation that is neither too shallow (leaving them with questions) nor too deep (overwhelming with unnecessary detail). The explanation uses their language and connects to their context.
On failure: If the explanation is too long, the core idea may be buried — restate the one-sentence headline. If the learner looks more confused after the explanation, the entry point was wrong — try a different anchor or analogy. If the concept is genuinely complex, acknowledge complexity rather than hiding it: "This has three parts, and they interact. Let me start with the first."
Do not assume the explanation worked. Test it through questions that reveal the learner's mental model.
Expected: The check reveals whether the learner has a working mental model or is parroting back the explanation. A working model can handle variations; a memorized explanation cannot.
On failure: If the learner cannot answer the check question, the explanation did not build the right mental model. This is not their failure — it is feedback on the teaching. Note what specifically did not land and proceed to Step 5.
Based on the check results, adjust the teaching approach.
Adaptation Responses:
┌──────────────────┬─────────────────────────────────────────────────┐
│ Signal │ Adaptation │
├──────────────────┼─────────────────────────────────────────────────┤
│ "I think I get │ Push gently: "Great — so what would happen │
│ it" │ if...?" Verify before moving on. │
├──────────────────┼─────────────────────────────────────────────────┤
│ "I'm confused" │ Change modality: if verbal, show code. If code, │
│ │ use analogy. If analogy, draw a diagram. │
├──────────────────┼─────────────────────────────────────────────────┤
│ "But what about │ Good sign — they are testing the model. Address │
│ [edge case]?" │ the edge case, which deepens understanding. │
├──────────────────┼─────────────────────────────────────────────────┤
│ "That doesn't │ They have a competing model. Explore it: "What │
│ seem right" │ do you think happens instead?" Reconcile the two.│
├──────────────────┼─────────────────────────────────────────────────┤
│ Silence or │ They may be processing, or lost. Ask: "What │
│ topic change │ part feels least clear?" Lower the bar gently. │
└──────────────────┴─────────────────────────────────────────────────┘
Expected: The teaching adapts in real time based on feedback. No explanation is repeated identically — each retry uses a different approach. The adaptation should feel responsive, not mechanical.
On failure: If multiple adaptation attempts fail, the problem may be a missing prerequisite that is so fundamental neither party has identified it. Ask explicitly: "What part of the explanation feels like the biggest jump?" This often reveals the hidden gap.
Solidify understanding through application, not repetition.
Expected: The learner has applied the concept at least once and has resources for continued learning. The summary anchors the learning for future recall.
On failure: If the practice problem is too hard, the teaching jumped too far — simplify the problem. If the learner can do the practice but cannot explain why, they have procedural knowledge without conceptual understanding — return to Step 3 with a focus on the "why" rather than the "how."
teach-guidance — the human-guidance variant for coaching a person in becoming a better teacherlearn — systematic knowledge acquisition that builds the understanding to teach fromlisten — deep receptive attention that reveals the learner's actual needs beyond their stated questionmeditate — clearing assumptions between teaching episodes to approach each learner freshly