AI Driven Financial Education: Assessing Student Engagement and Investment Behavior

• Project/Area Number: 25K06504
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 09070:Educational technology-related
• Research Institution: Ritsumeikan University
• Principal Investigator: Mills Daniel 立命館大学, 経済学部, 教授 (60802907)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Granted (Fiscal Year 2025)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2027: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2026: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000); Fiscal Year 2025: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
• Keywords: Generative AI / Financial Literacy / Investment Behavior

Outline of Research at the Start

This study examines the long-term impact of generative AI (ChatGPT) on university students’ financial literacy by developing research tools, implementing AI interventions, and analyzing outcomes over three years. It explores cross-disciplinary applications, behavioral changes, and shares findings through publications, conferences, and online platforms, all while maintaining ethical standards and global relevance.