LearnFlow

Layer 1 — Knowledge Component (KC) Readiness tracks mastery of each atomic micro-skill (0-100%). Each learning objective is broken into 2–5 KCs — the smallest independently assessable skills. A KC is mastered at 80%+.

Layer 2 — Objective Readiness is computed automatically as the Bloom’s-weighted average of its child KCs. Higher-level KCs (analyze, evaluate) count more than lower-level ones (remember).

Layer 3 — Spaced Repetition controls when each card comes back for review (boxes 0-6 with increasing intervals from minutes to months).

Every item has a difficulty weight (0–1) that combines question type and cognitive level into one number. The system targets items whose weight matches your current readiness on each KC.

Weaker KCs are always prioritized so you spend time where it matters most.

Each correct answer moves KC readiness by its weight — harder items count more.

Weights also scale with Bloom's level: higher cognition = stronger signal. Wrong answers reduce readiness proportionally. Items that test multiple KCs update the primary KC at full weight and secondary KCs at half weight.

For quizzes, correct = Good and incorrect = Again. Both layers update together.