Future work: Integrating real-time facial expression recognition for classroom engagement monitoring.
If you are preparing a video or high-res slides for this topic, I recommend including: of the data processing pipeline.
showing how a dean or professor would see the "Teaching Quality Score."
Ensuring the model doesn't penalize non-traditional but effective teaching methods. 6. Conclusion
Comparisons between manual evaluations and ML predictions (e.g., 85-90% alignment).
Processing open-ended student comments to gauge emotional response to teaching styles.
Test scores, attendance rates, and online platform login frequency.
For handling non-linear relationships in student feedback.