During the teaching process, the prosodic features of a teachers speech can influence students auditory perception of the teachers speech and, subsequently, affect students enthusiasm, concentration, and comprehension of the lesson content. This study aims to analyze the differences in prosodic features, including pitch, intensity, pauses, and speech rate, among speech samples from different categories of teacher instructional videos. The research algorithm is implemented in Python to calculate prosodic feature values for speech segments. Comparative data analysis revealed that, in comparison to negative teacher instructional video speech samples, positive teacher instructional video speech samples exhibit significantly higher average fundamental frequencies (pitch) and more noticeable variations in speech rate rhythm.