Abstract Action recognition and standardized judgment are important for sports dance training and teaching. However, existing methods remain limited in capturing fine-grained spatio-temporal features and key teaching frames, particularly for action quality assessment. Therefore, this study proposes a systematic framework for sports dance teaching evaluation based on the collaborative design of pose semantic feature extraction, temporal attention, and contrastive learning.