%0 Journal Article
%T 基于4378篇学生托福作文样本的e-rater&reg;评分维度中高频错误分析<br>Analysis of High-Frequency Errors Detected in E-Rater&reg; Scoring System Based on 4378 Students’ Samples of TOEFL Writing
%A 黄伟娴
%A 李丰贤
%J Overseas English Testing: Pedagogy and Research
%P 159-173
%@ 2643-5470
%D 2022
%I Hans Publishing
%R 10.12677/OETPR.2022.44019
%X 本研究基于ETS授权新东方使用的e-rater&reg;评分系统，采取变量控制和数据分析，致力于探讨e-rater&reg;评分时主要检测出的错误类型以及过程中教师可获得的相关教学启示。主要探讨的问题包括：1) e-rater&reg;所检测错误的基本分类；2) 中国考生托福作文中的五类最高频错误；3) 这五类错误的相关数据和内容细节；4) 针对这五类错误的教学建议和注意事项等。<br />
By analyzing the ETS e-rater&reg; scoring engine which is now available on the New Oriental test-prep website, and by analyzing the control variables and data, this study discusses the scoring performance of the ETS e-rater&reg;, mainly in terms of error detection. Specifically, the essay focuses on the following aspects: 1) Basic categories of errors detected by the e-rater&reg;; 2) Five types of common mistakes in TOEFL writing made by Chinese test-takers; 3) Relevant data and content details of these five types of errors; 4) Suggestions for the teaching of these five types of errors.
%K 托福写作，自动化阅卷，电子评分，语料库，学生错误<br>TOEFL Writing
%K Automated Scoring
%K E-Rating
%K Corpus
%K Learners’ Mistakes
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=58628