This invention discloses a classroom interaction
quality assessment and teaching reflection
system based on voice
emotion recognition, belonging to the field of educational
informatization technology. It includes a
voice data acquisition module, a
voice data preprocessing module, a voice
emotion recognition module, a
voice data segmentation module, an interaction depth quantification module, a classroom interaction quality index calculation module, an early warning
signal generation module, and a teaching reflection auxiliary module. This invention constructs a multi-level classroom interaction
quality assessment system. Through the identification of teaching links and a dynamic
weight adjustment mechanism, it significantly improves the scientific nature of the assessment. Based on the current interaction state, it predicts future quality change trends and combines a dual-indicator early warning mechanism of declining slope and minimum point to support teachers in timely adjustments to teaching strategies during class. It also introduces counterfactual reasoning technology to conduct multi-dimensional causal contribution analysis of weak teaching links, improving the scientific nature and
operability of reflection.