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GOAL project: AI-supported self-directed learning lifestyle in data-rich educational ecosystem

Research Project

Project/Area Number 22H03902
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 90020:Library and information science, humanistic and social informatics-related
Research InstitutionKyoto University

Principal Investigator

Majumdar Rwito  京都大学, 学術情報メディアセンター, 特定講師 (30823348)

Co-Investigator(Kenkyū-buntansha) Flanagan Brendan  京都大学, 国際高等教育院, 特定准教授 (00807612)
緒方 広明  京都大学, 学術情報メディアセンター, 教授 (30274260)
李 慧勇  京都大学, 学術情報メディアセンター, 特定研究員 (60913910)
Project Period (FY) 2022-04-01 – 2025-03-31
Project Status Granted (Fiscal Year 2023)
Budget Amount *help
¥17,680,000 (Direct Cost: ¥13,600,000、Indirect Cost: ¥4,080,000)
Fiscal Year 2023: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2022: ¥8,060,000 (Direct Cost: ¥6,200,000、Indirect Cost: ¥1,860,000)
KeywordsGOAL / Self Direction Skills / Learning Analytics / Quantified Self / DAPER model
Outline of Research at the Start

Learner need to exploring new knowledge and developing intellectual abilities along with improving and maintaining physical and mental health. This proposal outlines an interdisciplinary approach to design and support student’s self-directed everyday activities by applying AI-driven approaches.

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Published: 2022-04-19   Modified: 2023-07-19  

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