Study on Reconstruction of English Translation Teaching Model in the Age of Big Data
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DOI: 10.25236/icepms.2018.141
Corresponding Author
Minfang Wang
Abstract
College English translation teaching is an important part of higher education in China. The effect of translation teaching is directly related to students' translation ability, foreign language application ability and the sustainable development of China's translation industry. In the context of the big data era, strengthening English translation teaching is very necessary. Combining traditional college English translation teaching with the advantages and potentials of data networks, can improve teaching quality and level, and enhance students' autonomous learning ability. This paper, starting from the problems faced by college English translation teaching in China, analyzes and combines the characteristics of the big data era, to explore the reconstruction of college English translation teaching mode under the background of big data era.
Keywords
Big Data, Translation Teaching, Flipped Classroom