| Project/Area Number |
22K00718
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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 02100:Foreign language education-related
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| Research Institution | Waseda University (2023)
University of Hyogo (2022) |
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Principal Investigator |
ガイエド ジョンモリース 早稲田大学, グローバルエデュケーションセンター, 講師(テニュアトラック) (20868393)
|
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| Co-Investigator(Kenkyū-buntansha) |
クロス ジェフリーS 東京工業大学, 環境・社会理工学院, 教授 (90532044)
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| Project Period (FY) |
2022-04-01 – 2025-03-31
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| Project Status |
Granted (Fiscal Year 2023)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2024: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2023: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2022: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | AI writing / AI assessment / L2 writing / CALL / AI assistant / metacognition / artificial intelligence / AIED / AI in education / cognitive load |
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| Outline of Research at the Start |
Advancements in natural language processing have led to more sophisticated intelligent writing assistants which offer feedback to users. Yet, empirical research on these tools is lacking. This research addresses this gap in the literature by developing and assessing a novel writing assistant.
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| Outline of Annual Research Achievements |
Research activities are progressing well, with several papers recently submitted to international conferences and journals. The projects are advancing, benefiting from collaborative efforts with other researchers working in the field of AI-assisted writing/assessment. Although the project started with the focus of developing an AI-assisted writing tool, new developments in the area of AI-based qualitative assessment have allowed the researchers to explore assessment as well. This has led to a broadening of the project's scope to include both writing production aids and automated assessment of English as a Foreign Language text.
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| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
Presentations at upcoming conferences include our work on automated AI assessment of L2 writing. Overall, the momentum in this research project is strong with research surrounding AI in education benefitting from rapid technological gains and collaboration with other institutions.
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| Strategy for Future Research Activity |
Development of localized LLMs that can perform as well as gold standard pay-per-token foundational models are being investigated.
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