Study on Estimation of Learner's Characteristics and Surrounding Conditions for Recommending Learning-Resources and Supporting Learning-Habit Development

2020 Fiscal Year Final Research Report

• Project/Area Number: 17K01130
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Educational technology
• Research Institution: Kochi University
• Principal Investigator: Miyoshi Yasuo 高知大学, 教育研究部自然科学系理工学部門, 准教授 (20380115)
• Co-Investigator(Kenkyū-buntansha): 岡本 竜 高知大学, 教育研究部自然科学系理工学部門, 教授 (60274362)
• Project Period (FY): 2017-04-01 – 2021-03-31
• Keywords: 習慣化支援 / 動機付け / 学習環境 / 学習者特性 / 周辺状況

Outline of Final Research Achievements

We have developed some estimation methods of learner's characteristics which are their weak points and their preferences. We targeted typing learning and eSports exercise in the weak points estimation, and we targeted voice emotion recognition for learner's preferences estimation. We also have developed some estimation method of surrounding conditions without using camera pictures. By using piezoelectric elements, we can determine whether a learner is taking notes from the noise sounds on the desk.

Free Research Field

教育工学

Academic Significance and Societal Importance of the Research Achievements

コロナ禍においてオンライン授業が多く実施されるようになったが，オンデマンド型のオンライン授業では特に計画的に学習を進める必要がある。このような状況も踏まえると，本研究課題である学習リソース推薦や学習習慣化支援のための学習者特性推定と周辺状況把握は社会的に大きな意義がある。