【摘要】 本研究是以智能写作平台——句酷批改网为研究平台,收集了参加2016年"两校同题作文"活动的来自北京联合大学和大连大学的2000多篇作文,用大数据的方法对句酷批改网的评阅状况加以分析,旨在探索如何借助于大数据的分析方法,通过智能写作平台的自动评阅系统去发现大学生英语写作水平的现状,分析错误类型及其根源。同时又提出了智能写作平台——句酷批改网存在的一些局限性,比如,它更多地关注语法、拼写、句型、搭配等表层方面的反馈,缺乏在篇章结构、作文的内容和逻辑性等方面的提示,以便更好地应用于大学英语写作教学。更多还原

【Abstract】 We are facing an unprecedented new era-the era of big data.New opportunities and severe challenges are also put forward for foreign language teaching,especially the teaching of college English writing.The intelligent writing platform based on big data is widely used in English writing teaching.This study is based on intelligent writing platform----Juku Correction Net."Two schools with the topic composition" activities in 2016 from Beijing Union University and more than 2000 compositions of Dalian University are collected to analyze the Juku Correction Net review status by the method of big data.It aims to explore how to use big data analysis method to find the current situation of college students’ English writing level through the intelligent writing platform of automatic grading system and analyze the error types and its root causes.At the same time some limitations are also put forward through the intelligent writing platform Juku correction network.For example,it pays more attention to grammar,spelling,sentence structure,collocation,and feedback of surface aspects.It lacks in discourse structure and composition content and logic of prompt so that it can apply to college English writing teaching.更多还原