Evaluation System of Foreign Language Teaching Quality Based on Spatiotemporal Feature Fusion

Abstract

How to evaluate the teaching quality of foreign language teachers objectively and quantitatively is one of the important directions of teaching evaluation institutions and teaching and research personnel. To solve this problem, this article proposes a foreign language teaching quality evaluation system based on the integration of spatiotemporal features. Given the behavior characteristics of multiperson interaction in class, a framework-based spatiotemporal modeling method is presented in this article. Spatiotemporal modeling features are input into generalized graph convolution for feature learning. The interaction information between skeletons is designed to capture the extra interaction information to increase the accuracy of action recognition. The experimental results show that the proposed method has higher accuracy and can be applied to the evaluation of foreign language teaching quality.