| Project/Area Number |
18K00722
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 02090:Japanese language education-related
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| Research Institution | Tokoha University |
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Principal Investigator |
Tani Seiji 常葉大学, 外国語学部, 教授 (80514827)
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| Co-Investigator(Kenkyū-buntansha) |
宮崎 佳典 静岡大学, 情報学部, 教授 (00308701)
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| Project Period (FY) |
2018-04-01 – 2023-03-31
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| Project Status |
Completed (Fiscal Year 2022)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 日本語教育 / CEFR / 読解 / Can Do Statements / 例文 / 自動分類 / 問題仕様書 / 問題作成 / Can-Do Statement / Can-Do Stametments / 読解Can-do statements |
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| Outline of Final Research Achievements |
The purpose of this study was to support the creation of reading comprehension tasks (passages and questions) from reading comprehension CDS (Can-Do Statements, hereafter CDS) in the Common European Framework of Reference for Languages (CEFR). Specifically, the following four points were addressed: 1) implementation of a web application that can automatically classify Japanese passgaes into the CEFR reading comprehension CDS, 2) provision of sample tasks corresponding to the CEFR reading comprehension CDS, 3) provision of additional information not described in the CEFR reading comprehension CDS, and 4) creation of specifications for support for creating tasks from the CEFR reading comprehension CDS.
The results of the research are as follows: 1) is completed, 2) and 3) are partly completed, and 4) will be created after 2) and 3) are completed.
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| Academic Significance and Societal Importance of the Research Achievements |
英語に比べ、日本語は基準特性（CEFRの各レベルを規定する言語特徴）に関する研究が進んでいないため、利用できる情報がCDSの記載情報以外しかなく、テストや授業で使用する読解問題（例文と質問文）を作成することは負担が大きい。そのため、日本語例文をCEFR読解CDSに自動分類できる「Webアプリケーション」の実装は、負担軽減に大いに寄与できる。また、一部ではあるが、CEFR読解CDSから実際に日本語読解問題を作成し、分析した結果、CDSには記述されていない情報も提供できるようになり、問題作成の負担軽減につながることが期待できる。
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