Enhancing Video Assessment of Learner Performances with AI-Driven Adaptive Feedback and Learning Analytics

Research Project

Project/Area Number	26K04094
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	Sapporo Gakuin University
Principal Investigator	Muir Brendon 札幌学院大学, 人文学部, 講師 (60883634)
Co-Investigator(Kenkyū-buntansha)	コッターマシュー北星学園大学, 国際学部, 准教授 (50781407) ゼフブリックリン北海学園大学, 人文学部, 准教授 (60542040)
Project Period (FY)	2026-04-01 – 2029-03-31
Project Status	Granted (Fiscal Year 2026)
Budget Amount *help	¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000) Fiscal Year 2028: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000) Fiscal Year 2027: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000) Fiscal Year 2026: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywords	Evaluative AI / Learner engagement / Video assessment / Rubrics
Outline of Research at the Start	This study develops an AI-enhanced Moodle plugin to analyze learners’ video-recorded performances and provide adaptive feedback on linguistic and non-verbal skills. It examines how AI feedback affects learner engagement, revision behavior, and language development.