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