大数据与大学外语教学的融合应用—— CET6成绩预测与实证  

Integrating Big Data into College Foreign Language Teaching:A Prediction Study of CET6 Scores

作　　者：郑维勇 姚涓涓 ZHENG Wei-yong;YAO Juan-juan(School of Foreign Languages,Shanghai University of Interrmtional Business and Economics,Shanghai 201620,China)

机构地区：[1]上海对外经贸大学

出　　处：《外语电化教学》2019年第5期90-95,共6页Technology Enhanced Foreign Language Education

基　　金：全国高校外语教学科研项目“大学生网络学习行为数据挖掘与分析项目”(项目编号:2018SH0041B)的阶段性研究成果

摘　　要：文章以上海对外经贸大学为案例,介绍了如何将大数据与大学外语教学相结合并具体应用于大学英语六级教学中,以帮助外语教师实施精准化教学及学生实现个性化学习,从而提高学生的语言水平测试表现。文章阐述了大数据应用于大学外语教学的现实意义和挑战,并提出了相关建议,以期为大数据在大学外语教学中的应用提供参考。In order to help foreign language teachers implement accurate teaching and help college students realize personalized learning and improve their performance in CET6, this paper, taking Shanghai University of International Business and Economics as an example, explores how big data can be integrated into college English teaching. It discusses the practical significance of applying big data into college English teaching,as well as the challenges that we are faced with in such application. Finally, it puts forward some suggestions on how to improve the application of big data in college English teaching.

关 键 词：大数据 英语六级 回归模型 预测 

分 类 号：H319.3[语言文字—英语]