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

Development of cognitive diagnostic model to estimate the reason for wrong answers and its practical application

Research Project

Project/Area Number 18K03057
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 10020:Educational psychology-related
Research InstitutionUniversity of Tsukuba

Principal Investigator

Ozaki Koken  筑波大学, ビジネスサイエンス系, 准教授 (50574612)

Co-Investigator(Kenkyū-buntansha) 菅原 真悟  国立情報学研究所, 社会共有知研究センター, 特任研究員 (00745052)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2020: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2019: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2018: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Keywords認知診断モデル / 読解力 / データリテラシー / 誤答分析 / テスト理論 / 多肢選択問題 / 多肢選択式問題
Outline of Final Research Achievements

The purposes of this study were to develop a statistical model for estimating the reason for the wrong answer of the examinee who answered wrongly in a multiple-choice test for measuring ability from the test data, and to apply the model to the actual data to examine the practicality. As a result of three years of research, the statistical model was shown in Ozaki, Sugawara, & Arai (2020). In addition, in the above paper, the model was applied to the reading skill test and extracted two reasons for incorrect answers: "the word closest to the questioned word is the subject" and "the first word is always the subject". Test data to measure data literacy to examine further applicability was also collected.

Academic Significance and Societal Importance of the Research Achievements

テストの受検結果を次の学習に活かすためには,点数や偏差値だけでなく,各受検者の誤答理由を明らかにすることが重要である。誤答理由が明らかになれば,指導者は今後の指導方針を立てやすくなり,学習者は復習すべき箇所が明確になるからである。本研究は,多肢選択型のテスト問題に対する回答データから,各受検者がどのような誤答理由に基づいて誤答してしまったかを新たに開発した統計モデルに基づいて明らかにすることを目指したものである。開発した確率モデルを読解力調査やデータリテラシー調査に適用し,その実用可能性を検討した。

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (3 results)

All 2020 2018 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (1 results) Remarks (1 results)

  • [Journal Article] Cognitive diagnosis models for estimation of misconceptions analyzing multiple-choice data.2020

    • Author(s)
      Ozaki, K., Sugawara, S. & Arai, N.
    • Journal Title

      Behaviormetrika

      Volume: 47 Issue: 1 Pages: 19-41

    • DOI

      10.1007/s41237-019-00100-9

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Presentation] 批判的思考力を支えるリテラシーテスト開発の試み2-データリテラシー-2018

    • Author(s)
      石澤洋子、児島健、山形伸二、尾崎幸謙
    • Organizer
      産業・組織心理学会第34回全国大会
    • Related Report
      2018 Research-status Report
  • [Remarks] 尾崎幸謙のホームページ

    • URL

      http://www010.upp.so-net.ne.jp/koken/

    • Related Report
      2018 Research-status Report

URL: 

Published: 2018-04-23   Modified: 2022-01-27  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi