2021 Fiscal Year Final Research Report
Study of Atmosphere and Its Application to EdTech
Project/Area Number |
19K12107
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 61030:Intelligent informatics-related
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Research Institution | Kanagawa Institute of Technology |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
大須賀 昭彦 電気通信大学, 大学院情報理工学研究科, 教授 (90393842)
田中 哲雄 神奈川工科大学, 情報学部, 教授 (90727984)
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Project Period (FY) |
2019-04-01 – 2022-03-31
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Keywords | 集中度推定 / 興味度推定 / 雰囲気推定 / 行動推定 / 瞬き検出 / EdTech |
Outline of Final Research Achievements |
The purpose of this study is to develop EdTech technologies that contribute to the improvement of learning effectiveness. Two different approaches are applied in the study: a direct method that monitors learners directly, and an indirect method that monitors learning products and by-products. In the former method, we develop a method for estimating the learner's attention and interest level in real time from video images. Both of eye blinks and head movements are used together for the estimation. The latter method clarifies that various data appeared in the learning process can be effectively used by relating them from the viewpoints of response time. We show that levels of class comprehension, attention, and atmosphere can be estimated from these data. Through these developments and demonstrations, we have demonstrated that real-time monitoring of learners contributes to the improvement of learning effectiveness.
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Free Research Field |
人工知能
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Academic Significance and Societal Importance of the Research Achievements |
情報通信技術を活用した学習システムが広く普及しているが,さらなる発展の技術開発が必要である.将来的には,紙ベースの手法では不可能な高度なデータ活用と支援による,大きな学習支援効果が期待されている.本研究では,学習を直接モニターする手法と学習成果物を通じて間接的にモニターする手法の両面から研究開発を行った.各々の観点から,学習者の集中度や理解度を自動的に推定したり,可視化して表示する技術を開発した.これらを組み込んだシステム開発と実証実験を行った.とくにオンライン学習において効果を発揮でき,いつでもどこでも質の高い学習を可能とする技術に発展できることを明らかにした.
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