機械学習による学習者の生理情報と精神状態の関係性の形式化 - 2018

Learn about machine learning applications in educational analytics through this 12-minute symposium presentation from Professor Tatsunori Matsui of Waseda University's Faculty of Human Sciences. Explore the formalization of relationships between learner physiological information and mental states using machine learning techniques. The presentation, delivered at Kyoto University's Learning Analytics Symposium, is part of a broader research initiative on educational big data and cloud-based infrastructure for education and learning support. Organized by JSPS KAKENHI Grant and co-hosted by Kyoto University's Academic Information Media Center with support from Kyushu University's Learning Analytics Center, gain insights into cutting-edge research connecting physiological data to student learning experiences.