数据挖掘技术在语言测试研究中的应用
Application of Data Mining Techniques in Language Assessment Research
DOI: 10.12677/OETPR.2020.24016, PDF,    国家社会科学基金支持
作者: 王 萍：西安欧尔意信息科技有限公司，陕西 西安；辜向东*：重庆大学，重庆
关键词: 数据挖掘技术；语言测试；跨学科研究；研究方法；Data Mining Techniques； Language Assessment； Interdisciplinary Research； Research Methodology
摘要: 信息技术的发展给语言测试带来了新变化，也对语言测试研究方法提出了新要求。在大数据背景下，越来越多的语言测试学者尝试运用数据挖掘技术研究语言测试问题。为方便读者了解数据挖掘技术应用于语言测试研究的现状，本文首先介绍数据挖掘的基本概念、主要方法以及数据挖掘过程，然后重点介绍数据挖掘技术在语言测试研究中的应用现状，并按研究主题对相关文献进行分类讨论。最后，对数据挖掘技术应用于语言测试研究的启示、不足和未来的研究方向进行阐述。
Abstract: The rapid development of information technology has brought changes to language assessment, which calls for incorporating new research methodologies in language assessment research. In the big data era, more and more researchers are trying to apply data mining techniques to language assessment research. For readers’ better understanding of this interdisciplinary research area, this review first introduces what data mining is, including its concept, main methods and procedure; then reviews the literature classified in themes. In the end, implications and future research directions are discussed.
文章引用：王萍, 辜向东. 数据挖掘技术在语言测试研究中的应用[J]. 国外英语考试教学与研究, 2020, 2(4): 167-174. https://doi.org/10.12677/OETPR.2020.24016

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