miXai^learn: Multimodal Interactions, and Explainable AI for Embodied learning

Research Project

Project/Area Number	24KK0051
Research Category	Fund for the Promotion of Joint International Research (International Collaborative Research)
Allocation Type	Multi-year Fund
Review Section	Medium-sized Section 9:Education and related fields
Research Institution	Kumamoto University
Principal Investigator	Majumdar Rwito 熊本大学, 半導体・デジタル研究教育機構, 准教授 (30823348)
Co-Investigator(Kenkyū-buntansha)	Flanagan Brendan 京都大学, 国際高等教育院, 特定准教授 (00807612) 李慧勇九州大学, 情報基盤研究開発センター, 助教 (60913910) 久保田真一郎熊本大学, 半導体・デジタル研究教育機構, 准教授 (80381143)
Project Period (FY)	2024-09-09 – 2027-03-31
Project Status	Granted (Fiscal Year 2024)
Budget Amount *help	¥20,930,000 (Direct Cost: ¥16,100,000、Indirect Cost: ¥4,830,000) Fiscal Year 2026: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000) Fiscal Year 2025: ¥7,800,000 (Direct Cost: ¥6,000,000、Indirect Cost: ¥1,800,000) Fiscal Year 2024: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Keywords	Embodied Cognition / Explainable AI / Social Robotics / Learning Analytics / miXai framework
Outline of Research at the Start	This joint research takes the standpoint that learning has embodied experiences distributed in the physical and virtual spaces. While current online learning systems often focus on the cognitive skills, there is a lack of data-driven approaches for tracking learning process and provide feedback on tasks that are distributed in physical and virtual spaces. This research explores an innovative integration of Artificial Intelligence (AI) and socially assistive robotics in a technical infrastructure to enhance learner’s critical reflection in the psychomotor and cognitive aspects of learning.