Competency-Based Learning Simulator

Mastery-Gated Progression

Weekly practice attempts 4

Mastery threshold to advance 80%

Feedback / practice quality 1.0×

Competencies mastered

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Current gate mastery

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Weeks simulated

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How it works

In competency-based learning, a student moves forward only after demonstrating mastery of a skill — not after a fixed number of weeks in a seat. Each of the five glowing gates along the path is one competency: mastery climbs with diminishing returns as practice attempts accumulate, and the learner orb only advances once mastery clears the required threshold.

dM/dt = attempts/wk × quality × (1 − M/100)
advance when M ≥ threshold, then M resets to 0

Weekly practice attempts — how much deliberate practice, projects or performance tasks the learner completes each week; more attempts push mastery up faster, but returns shrink as a skill nears mastery.
Mastery threshold to advance — how rigorous the competency bar is; a higher threshold (closer to true mastery) delays advancement but yields a more solid skill before moving on.
Feedback / practice quality — how well each attempt converts into real skill gain (targeted feedback, good instructional design); low quality means attempts barely move the needle.
Restart learner — resets the whole gate sequence so you can compare a new combination of pace, threshold and quality from the start.

Real-world relevance: two students studying the same total hours can finish at very different points — one with low practice quality can stall indefinitely at a hard gate, while high quality and threshold-appropriate practice moves steadily through every competency regardless of calendar time.

Practicing…

Locked gate In progress Mastered

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