基于大数据的高职院校学生英语写作特点分析及对策研究

A Research into the Characteristics Analysis of Students' English Writing at Higher Vocational Colleges and Their Solutions Based on Big Data

以批改网大数据平台为依托,对109 312篇来自全国各地的高职院校学生作文进行全面、多维度的分析。研究表明:高职院校学生的学习热情并不比其他本科院校低,或者高职院校的学生由于英文写作水平较低,导致作文错误率较高也会出现修改次数较多的情况;高职院校学生的英文写作水平整体低于其他本科院校;高职院校学生英文写作中出错率最高的是拼写与搭配;高分组学生与低分组学生在错误类型上面有所不同,高分组的错误类型主要为搭配和主谓一致,而低分组主要为大小写和搭配。同时,以此结论为依托提出了相应的教学对策。

Base on big data at www. pigai. org,this paper analyzes 109 312 compositions from higher vocational colleges all over the country comprehensively and multi-dimensionally. The research shows that learning enthusiasm of students from higher vocational colleges is not lower than that from undergraduate colleges or due to the low level of English writing,higher vocational students will revise writings many times with high error rate of their writings. The English writing ability of students from higher vocational colleges is lower than that from undergraduate colleges. The highest error rate of higher vocational college students＇ English writings is spelling and collocation. Students from high grade group and low grade group make different types of mistakes in English writings. Mistakes from high grade one are collocation and subject-verb agreement and mistakes from low grade one are case matters and collocation. Meanwhile,this paper puts forward the corresponding teaching countermeasures based on those conclusions.