36 lines
802 B
Markdown
36 lines
802 B
Markdown
# Evidence Engine
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## Purpose
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The evidence engine updates learner mastery state from observed work rather than from manual declarations alone.
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## Evidence types in this revision
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- explanation
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- problem
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- project
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- transfer
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Each evidence item includes:
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- target concept
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- evidence type
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- score from 0.0 to 1.0
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- optional notes
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## Current update policy
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For each concept:
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- maintain a running average evidence score
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- mark as mastered when average score meets mastery threshold and at least one evidence item exists
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- resurface a mastered concept when the average later drops below the resurfacing threshold
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This is intentionally simple and transparent.
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## Future work
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- weighted evidence types
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- recency decay
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- uncertainty estimates
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- Bayesian mastery models
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- multi-rubric scoring per concept
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