50 minutes
Teaching the Lumen Labs
Facilitate decision trees, classifiers, bias, hallucination, prompt, privacy, and tradeoff labs.
Objectives
- Run a 40-minute lab period with clear timing
- Debrief accuracy vs fairness without shaming students
- Connect lab outcomes to exit tickets and mastery
Facilitation pattern
Predict → do → compare → explain. Always ask what the model optimized and who might be harmed when it is wrong.
Common stuck points
Students equate high accuracy with ‘smart’ and fair. Use the rare-event fire drill example and disaggregated metrics. On generative labs, students over-trust fluent prose — force claim-by-claim verification.
Assessment
Score process: hypothesis quality, metric interpretation, model card honesty, and verification plans — not only final accuracy or pretty prompts.