摘要
以基于云计算的大数据分析和主观评判两种方式相结合,研究通过对高职英语专业102名学生的204份作文中的错误进行分析,了解学生写作中的错误类型与分布。错误原因包括语言基础薄弱、规则泛化、篇章意识薄弱、过多依赖母语。这就要求教师在教学中指导学生夯实语言基础,了解英汉差异,增强篇章意识,充分利用网上评价系统等手段,从而提高学生的英语写作水平。
By combining data analysis based on cloud computing and subjective evaluation,the errors in 204 compositions of 102 English majors in higher vocational colleges are analyzed,so as to understand the types and distribution of errors in students’writing.The causes of errors include weak language foundation,generalization of rules,weak textual awareness and too much dependence on mother tongue.This requires teachers to guide students to consolidate the language foundation,understand the differences between English and Chinese,enhance text awareness,and make full use of online evaluation system,so as to improve students’English writing level.
作者
王改丽
WANG Gai-li(Tangshan Normal University,Yutian Branch,Tangshan 063000,China)
出处
《唐山师范学院学报》
2021年第6期103-106,共4页
Journal of Tangshan Normal University
基金
河北职业教育科学研究“十三五”规划课题(JZY20045)。
关键词
高职院校
英语写作
云计算
错误分析
语际干扰
higher vocational college
English writing
cloud computing
error analysis
interlanguage interference
