基于大数据的高职学生英语写作错误特点分析——以中介语为载体  

On the Characteristics of Students' English Compositional Errors in Higher Vocational College Based on Big Data——Taking the Theories of Interlanguage as the Carrier

作　　者：胡光明[1] 

机构地区：[1]无锡科技职业学院,江苏无锡214028

出　　处：《现代教育科学》2016年第9期71-75,共5页Modern Education Science

基　　金：教育部职业院校外语类专业教学指导委员会课题"基于大数据的高职英语写作教学创新研究"之重点课题"基于大数据的高职学生英语写作特点研究--以中介语为载体"(课题编号GZGZ5414-13)

摘　　要：大数据技术目前已经应用于学生英语作文的自动批改,从中介语理论和错误分析理论入手对英语作文进行分析,可以得出较可靠的结论。本文采集"百万同题英语写作"相关数据,结合中介语理论对高职学生英语写作特点进行分析和归因,在此基础上提出改进教学策略的几点建议。The technology of big data has been applied in marking and correcting students’ compositions. With more than a million participants submitting compositions of the same topic in 2005 , the contest has gathered massive amount of data. Reliable and systematic conclusions can be reached by using originated from the theo-ries of interlanguage and error analysis to analyze compositions. The paper collects corresponding data from the contest and analyzes them based on theories of interlanguage, so as to find higher vocational college students’ traits and attribution on English writing, therefore puts forward relevant constructive suggestions on teaching strategies.

关 键 词：大数据 高职 英语写作 中介语 

分 类 号：G642.3[文化科学—高等教育学]