Investigating co-occurrence patterns of learners' grammatical errors across proficiency levels and essay topics based on association analysis

Yutaka Ishii*

*この研究の対応する著者

研究成果: Chapter

抄録

This chapter is based on the framework of educational data mining (EDM). It focuses on the relationship between essay topics and co-occurrence patterns of learners' grammatical errors. The techniques of data mining shed light on learners' hidden association pattern of grammatical errors. Investigating learners' grammatical errors is a very important area in language teaching. In the past, this research was conducted only in the area of language teaching. However, in recent years, it has been conducted in the field of natural language processing such as the research on automated scoring of learners' writing or speaking and automated grammatical error detection. The subject 'English writing' was introduced to Japanese high schools after the curriculum was revised in 1989. Error analysis (EA) has been conducted since the 1950s because learners' errors can be considered as a benchmark for the proficiency in a language.

本文言語English
ホスト出版物のタイトルData Mining And Learning Analytics
ホスト出版物のサブタイトルApplications in Educational Research
出版社Wiley-Blackwell
ページ157-171
ページ数15
ISBN(電子版)9781118998205
ISBN(印刷版)9781118998236
DOI
出版ステータスPublished - 2016 10月 14

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)

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