Exploring an AI-based writing Assistant's impact on English language learners

John Maurice Gayed, May Kristine Jonson Carlon, Angelu Mari Oriola, Jeffrey S. Cross*

*この研究の対応する著者

研究成果: Article査読

102 被引用数 (Scopus)

抄録

The increasing use of English as a Lingua Franca (ELF) worldwide has brought attention to tools that can assist English as a Foreign Language (EFL) learners in their journey to fluency. Much research has shown that EFL learners often do not have sufficient latitude to output at a satisfactory level when writing in a second language. In addition, cognitive (working memory) resources are spent on low-level writing tasks (word production, translation) at the expense of time being allocated to higher-level writing tasks such as organization and revision. The researcher's laboratory developed an AI-based web application called “AI KAKU” to assist EFL learners in reducing the cognitive barriers they face when producing written text in English. While there has been much research and discussion on Automated Writing Evaluation (AWE) technologies or older technologies such as spell check and grammar check, few studies have attempted to use AI-based tools as learning instruments outside assessments. This study recruited adult EFL participants in a counter-balanced experiment to evaluate the potential impact of AI KAKU on student writing. Preliminary results indicate that this is a potentially useful tool for English language learners who need more structured assistance than traditional word processors.

本文言語English
論文番号100055
ジャーナルComputers and Education: Artificial Intelligence
3
DOI
出版ステータスPublished - 2022 1月
外部発表はい

ASJC Scopus subject areas

  • 教育
  • コンピュータ サイエンスの応用
  • 人工知能

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