848 B

Raw Blame History

Didactopus

Didactopus is a local-first AI-assisted autodidactic mastery platform.

This revision adds an evidence-driven mastery engine on top of the adaptive learner model.

Added in this revision

evidence record models
rubric-style evidence scoring
concept mastery updates from accumulated evidence
weak-concept resurfacing
automatic learner state updates from evidence bundles
project evidence integration
CLI demonstration of evidence-driven progression
tests for mastery promotion and resurfacing

Why this matters

Didactopus no longer needs mastery to be supplied only by hand. It can now begin to infer learner state from observed evidence such as:

explanation quality
problem-solving performance
project completion
transfer-task performance

That is a necessary step toward a genuine mastery engine.