A Multiple Teaching Model for Chinese Culture Integration in English Translation Courses with Multiple Data Chain Networks

Abstract

Abstract This study investigates how to integrate Chinese culture into English translation courses in a multidata chain network environment to develop a multifaceted teaching model, enhance students’ cross-cultural communication skills and cultural understanding, and improve the effectiveness of English teaching. Neural networks and regression models were used to extract and analyze the artistic elements, and the design and implementation of an English teaching model based on cultural integration were studied. The results show that through the “five lines of integration” teaching mode, the effective combination of culture, knowledge and literacy is realized. The comparative analysis before and after the teaching shows that the mean value of the students’ English scores is increased from 85.204 to 94.568, which indicates that the teaching mode effectively improves the students’ English proficiency. In addition, correlation and regression analyses further confirmed that cultural support, teacher support, course quality, academic performance, and student satisfaction significantly positively affected teaching effectiveness. This study proves the effectiveness of integrating Chinese culture into English language teaching and provides new perspectives and methods to improve the quality of English language teaching.