Strategies for Improving the Interaction Efficiency of English Translation Classrooms in Higher Vocational Colleges and Universities under the Environment of Big Data Analysis

Abstract

Educational development has a close relationship with the context of the times, and the teaching mode of higher vocational English should be innovated in the context of the big data era. This topic builds an innovative mode of teaching English translation in higher vocational colleges under the background of big data, and discusses the strategies for improving the interactive efficiency of English translation classrooms in higher vocational colleges. Taking an English translation classroom in a higher vocational college as a research case for comparative teaching experiments, we apply the FIAS interaction analysis system and the classroom teacher-student evaluation system to analyze the effect of the teaching innovation model on the improvement of classroom interaction efficiency. After applying the teaching innovation model, the overall quality of teacher-student interaction in higher vocational English translation classrooms increased by 8.84%, the teacher language ratio decreased by 4.65%, and the student language ratio increased by 4.54%. The results show that the high-vocational English translation teaching model based on big data can build a high-quality English translation classroom, promote the improvement of the interaction efficiency of the English translation classroom, and have a positive significance for the classroom teaching and student development of English translation.