Open AccessThe Teaching Reform of English Major Translation Course based on the Analysis of Computer Big Data
Author(s) -
Xaoying Pan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1574/1/012031
Subject(s) - computer science , teamwork , process (computing) , big data , college english , translation (biology) , mathematics education , flipped classroom , quality (philosophy) , course (navigation) , teaching method , psychology , engineering , management , programming language , biochemistry , chemistry , philosophy , epistemology , messenger rna , economics , gene , aerospace engineering , operating system
At present, in the actual translation process, the English translation work is mostly carried out in the form of teamwork.In the future college English teaching, big data and its related concepts and technologies will become one of the main tools for teachers to find and discover teaching rules, summarize teaching experience and innovate teaching methods, especially in the current English translation courses involving international communication.This paper combines the computer big data technology with the emerging teaching methods such as flipped classroom, and attempts to reform the English translation course for English majors, so as to realize the goal of independent learning and improve the quality of English translation teaching.