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Validation against human-coded samples #84

Description

@satra

Summary

Validate the automated pedagogical, engagement, and mastery metrics against human-coded samples so the platform has defensible evaluation quality.

Scope

  • define human-coding rubric for question type, scaffolding, affect support, disengagement, and mastery events
  • build or curate a gold-sample validation dataset
  • implement comparison scripts and quality reports
  • define acceptable agreement thresholds and review loops
  • document known weak areas and confidence limitations

Deliverables

  • validation rubric
  • gold-sample dataset scaffolding
  • evaluation scripts and reports
  • quality criteria for automated measures

Testing

  • evaluation pipeline tests
  • fixture-based comparisons against hand-coded examples
  • report generation tests

Dependencies

  • depends on event pipeline and metric definitions

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