Feedback Literacy and AI Ethics: Leveraging Auto-Peer for Productive Interact ion with Generative AI Tools in L2 Writing Education in Japan

• Project/Area Number: 24K04103
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 02100:Foreign language education-related
• Research Institution: University of Toyama
• Principal Investigator: タランディス・ジュニア ジェラルド 富山大学, 学術研究部教養教育学系, 教授 (00600892)
• Co-Investigator(Kenkyū-buntansha): MULLER THERON 富山大学, 学術研究部教養教育学系, 准教授 (10726277)
• Project Period (FY): 2024-04-01 – 2027-03-31
• Project Status: Granted (Fiscal Year 2024)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2026: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2025: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2024: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
• Keywords: Auto-Peer / L2 writing education / Feedback literacy / Generative AI / AI ethics

Outline of Research at the Start

This project explores adapting Auto-Peer, an automated writing evaluation tool, for Japanese EFL classrooms. It aims to tailor the tool and develop an AI prompt engineering feature to ethically integrate generative AI like ChatGPT. The research will inform the development of a writing textbook and improve Auto-Peer's functionality for the Japanese EFL context.