AI & TinyML / TEACHING GUIDE
Classify room conditions
Turn sensor readings into a discussion about data and decisions.
A teaching sequence
- Define the classes
Choose meaningful room-condition labels and describe how each will be assigned. Keep the task narrow enough to evaluate.
- Collect and label
Record sensor readings alongside the labels. Keep units, sampling intervals, and conditions consistent. Avoid collecting unnecessary personal information.
- Compare approaches
Compare a simple rule with a trained classifier. Separate training examples from evaluation examples so students can see whether the model generalizes.
- Evaluate and communicate
Report correct and incorrect classifications and explain sensor limitations. Treat the system as a learning prototype, not a certified air-quality or health instrument.
Source & adaptation
New educator planning outline based on the confirmed course project.
Use this as a planning guide and adapt it to your equipment, students, and timetable.
Find handouts and platform resources →
Original AIM teaching material may be adapted with attribution to David McLoda. Reuse details