• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Analysis of learner's potential factors based on Case-based and development of individualized education support system

Research Project

Project/Area Number 16K16326
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Educational technology
Research InstitutionNihon University

Principal Investigator

AZUMA Rumiko  日本大学, 商学部, 准教授 (80550102)

Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2018: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Keywords学習分析 / テキストマイニング / データ分析 / 学習支援 / 機械学習 / 教育工学
Outline of Final Research Achievements

In Japan, it is hard for a teacher to take control of the understanding level of students and conduct personal instructing because a teacher is in charge of many students. Then, in order to respond to the wide variety of needs for education, it is necessary for teachers to get grasp student's understanding level in real time and provide individual instruction.
As a solving the problem, a reasoning system which can predict the understanding level of students with their reaction paper was proposed in this study. We analyzed some elements that are strongly related to understanding level using statistical method or machine learning algorithm from student’s writing quantified by text-mining method and tried to extrapolate their understanding level. As a result, their final exam score had stronger correlation with the content of their reaction paper than their subjective understanding level or quiz score.

Academic Significance and Societal Importance of the Research Achievements

多様化する生徒に対して、多角的な指標のもとで個々の学習問題を考慮し効率の良い教育指導を行うことは、生徒のみならず負担の多い教員にとっても必要である。またそのために、生徒の理解度を把握する教育補助システムの開発は重要である。
そのシステム開発の一助として、本研究では学生の真の理解度を推定するための要因を探り、推定精度の向上を目指した。これは先進的な教育改善策に繋がる可能性を秘めており、社会的意義は大きいと考える。

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report

Research Products

(3 results)

All 2018 2017 2016

All Presentation (3 results)

  • [Presentation] 機械学習による学習者の理解度推定2018

    • Author(s)
      東るみ子
    • Organizer
      第43回教育システム情報学会全国大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] テキストマイニングによる学習者の特性と理解度の分析2017

    • Author(s)
      東るみ子
    • Organizer
      教育システム情報学会全国大会
    • Related Report
      2017 Research-status Report
  • [Presentation] 振り返りシートを用いた学習者理解度の分析2016

    • Author(s)
      東るみ子
    • Organizer
      第41教育システム情報学会全国大会
    • Place of Presentation
      栃木県、帝京大学
    • Year and Date
      2016-08-27
    • Related Report
      2016 Research-status Report

URL: 

Published: 2016-04-21   Modified: 2020-03-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi