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大学生英語学習者によるAI英語学習アプリの有用性認知

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大学生英語学習者によるAI英語学習アプリの有用性認知

Material type
記事
Author
田中 洋也ほか
Publisher
The Japan Association for Language Education and Technology
Publication date
2025
Material Format
Digital
Journal name
外国語教育メディア学会機関誌 62 0
Publication Page
p.153-175
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Detailed bibliographic record

Summary, etc.:

As the influence of Artificial Intelligence (AI) on our daily life continues to grow significantly, the practice and research of AI-Assisted Language ...

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Digital

Material Type
記事
Publication Date
2025
Publication Date (W3CDTF)
2025
Alternative Title
―課題生成機能・自律学習機能を中心として―
Focusing on AI-Generated Assignments and Self-Study Functions
Periodical title
外国語教育メディア学会機関誌
No. or year of volume/issue
62 0
Volume
62
Issue
0
Pages
153-175
Publication date of volume/issue (W3CDTF)
2025
ISSN (Periodical Title)
21857792
Publication (Periodical Title)
The Japan Association for Language Education and Technology
Text Language Code
ja
Target Audience
一般
Data Provider (Database)
国立情報学研究所 : CiNii Research
Original Data Provider (Database)
Japan Link Center

Digital

Summary, etc.
As the influence of Artificial Intelligence (AI) on our daily life continues to grow significantly, the practice and research of AI-Assisted Language Learning (AIALL) have also expanded. In this classroom practice study, 39 Japanese university English as a Foreign Language (EFL) learners were encouraged to use an AIALL app both for class assignments and for self-study over eight class sessions. After each session, the participants completed surveys evaluating the perceived usefulness of the app’s AI features. The results indicated that the participants found the AI-supported functions, particularly the corrective feedback feature on writing tasks, to be beneficial for their learning. Additionally, the participants generally had positive perceptions of the usefulness of the self-study materials suggested based on their performance on a proficiency test on the app and their personal settings. The study also revealed that participants became skeptical about the app’s usefulness when the AI’s evaluation mechanisms lacked transparency or when the system malfunctioned. Furthermore, issues such as the need for improved personalization features tailored to individual learners and for mechanisms to foster a sense of achievement were identified as challenges in sustaining autonomous learning when using an AIALL app.
DOI
10.24539/let.62.0_153
Access Restrictions
インターネット公開
Data Provider (Database)
科学技術振興機構 : J-STAGE