In this study, we developed a textless NLP system using a fine-tuned Whisper encoder to identify classroom management practices from noisy classroom recordings. The model segments teacher speech from non-teacher speech and performs multi-label classification of classroom practices, achieving acceptable accuracy without requiring transcript generation.