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Yamaguchi Kazuhiro  山口 一大

Researcher Number 50826675
Other IDs
  • ORCIDhttps://orcid.org/0000-0001-8011-8575
Affiliation (Current) 2025: 筑波大学, 人間系, 准教授
Affiliation (based on the past Project Information) *help 2021 – 2025: 筑波大学, 人間系, 助教
2019 – 2020: 法政大学, 現代福祉学部臨床心理学科, 特別研究員(PD)
2018 – 2020: 法政大学, その他部局等, 特別研究員
2018: 法政大学, 現代福祉学部, 特別研究員(PD)
Review Section/Research Field
Principal Investigator
Basic Section 10020:Educational psychology-related / Educational psychology
Except Principal Investigator
Basic Section 10020:Educational psychology-related / Medium-sized Section 9:Education and related fields / Basic Section 09060:Special needs education-related / Basic Section 02100:Foreign language education-related / Basic Section 09070:Educational technology-related / Educational technology
Keywords
Principal Investigator
アルゴリズム開発 / 認知診断モデル / マルコフ連鎖モンテカルロ法 / 変分ベイズ法 / ベイズ推定 / 計量心理学 / テーラーメイド学習 / パラメタ推定 / 学習診断 / パラメタ推定法 … More
Except Principal Investigator
… More 認知診断モデル / 英語教育 / 評価 / 測定 / 指導法改善 / 初等教育 / 数学教育 / 授業評価 / 学力調査 / 授業改善 / 深い学び / 学校での実践研究 / 教師の実態把握力 / 数理モデル / 実態把握力の解析 / 外国にルーツのある子ども / 多言語使用 / 学習障害 / 二重経路理論 / 認知診断テスト / 漢字の読み / コーパス / 文章理解 / 自然言語処理 / 心理言語学 / 視線計測 / リーディング / 項目反応モデル / 項目反応理論モデル / 共変量 / 到達度 / デジタルツールの活用 / 新たな評価の開発 / 学習力 / 21世紀型学力 / 定量的解析 / 学力・学習力 / 測定評価 / 新しい学習力 / 新しい学力 / 21世紀型スキル / 阻害要因 / 生徒の学習改善 / 教師の授業改善 / 指導法開発 / 実践的研究 / 教師の信念 / 心理学による支援 / 指導方改善 / テスト活用 / 深い理解 / 統計的モデルの活用 / 学校実践 / 活用 / テスト / 深い理解/浅い理解 / 学習改善 / 学力テスト / 学力評価 / 指導改善 / クラスルームテスト / 算数教育 / webシステム / 教師教育 / データ解析例 / パラメータの提案 / 教育への展開 / webツール / 教育実践 / webシステムの開発 / 実践現場での適用 / 数理モデルの開発 / 実態把握力 / 実践への展開 / 教育実践への展開 / 学校現場への実践への展開 / webツールの開発 / 教師の実態把握 / 教師の「みとり」 / 全国学力テストの解析 / Webツールの開発 / 学校現場での実践 Less
  • Research Projects

    (11 results)
  • Research Products

    (53 results)
  • Co-Researchers

    (29 People)
  •  算数・国語を対象とした教科横断型かつ縦断的認知診断モデルと分析ソフトの開発Principal Investigator

    • Principal Investigator
      山口 一大
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 10020:Educational psychology-related
    • Research Institution
      University of Tsukuba
  •  認知診断モデルを活用した授業改善の推進手法の構築と評価

    • Principal Investigator
      光永 悠彦
    • Project Period (FY)
      2024 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 10020:Educational psychology-related
    • Research Institution
      Nagoya University
  •  21世紀型の学力・学習力の測定と向上:新たな評価の開発からデジタルツールの活用まで

    • Principal Investigator
      植阪 友理
    • Project Period (FY)
      2023 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 9:Education and related fields
    • Research Institution
      The University of Tokyo
  •  Creating a Publicly Available Database of Eye Movements During Text Reading by Japanese EFL Learners

    • Principal Investigator
      名畑目 真吾
    • Project Period (FY)
      2023 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 02100:Foreign language education-related
    • Research Institution
      University of Tsukuba
  •  漢字の読みが困難な児童生徒の「漢字の読み処理」を評価できる認知診断テストの開発

    • Principal Investigator
      三盃 亜美
    • Project Period (FY)
      2023 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 09060:Special needs education-related
    • Research Institution
      University of Tsukuba
  •  Development and application of cognitive diagnosis models for tailor-made learning environmentPrincipal Investigator

    • Principal Investigator
      山口 一大
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 10020:Educational psychology-related
    • Research Institution
      University of Tsukuba
  •  学習の躓きを診断し克服するための統計学的方法:デジタル問題集の基盤開発と実践

    • Principal Investigator
      岡田 謙介
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 10020:Educational psychology-related
    • Research Institution
      The University of Tokyo
  •  Research and Development study of the comprehensive system for evaluating and elaborating students' deeper learning in the course of mathematics.

    • Principal Investigator
      Mitsunaga Haruhiko
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 09070:Educational technology-related
    • Research Institution
      Nagoya University
  •  How to Link Academic Achievement Tests to Classroom Improvement: From Examination of Obstacles to School Practice

    • Principal Investigator
      Uesaka Yuri
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 9:Education and related fields
    • Research Institution
      The University of Tokyo
  •  Development of test models for cognitive diagnosis and learning supports using information terminalsPrincipal Investigator

    • Principal Investigator
      山口 一大
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for JSPS Fellows
    • Research Field
      Educational psychology
    • Research Institution
      Hosei University
  •  Empirical research about the accuracy of teachers' predictions about students' performance: From theory to educational practices.

    • Principal Investigator
      Uesaka Yuri
    • Project Period (FY)
      2015 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Research Field
      Educational technology
    • Research Institution
      The University of Tokyo

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015

All Journal Article Presentation

  • [Journal Article] 近年の診断分類モデルの推定法の展開2024

    • Author(s)
      山口 一大
    • Journal Title

      統計数理

      Volume: in press

    • Data Source
      KAKENHI-PROJECT-19H00616
  • [Journal Article] 近年の診断分類モデルの推定法の展開2024

    • Author(s)
      山口 一大
    • Journal Title

      統計数理

      Volume: -

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13810
  • [Journal Article] 近年の診断分類モデルの推定法の展開2024

    • Author(s)
      山口 一大
    • Journal Title

      統計数理

      Volume: in press

    • Data Source
      KAKENHI-PROJECT-23H00065
  • [Journal Article] Bayesian Analysis Methods for Two-Level Diagnosis Classification Models2023

    • Author(s)
      Yamaguchi Kazuhiro
    • Journal Title

      Journal of Educational and Behavioral Statistics

      Volume: 48 Issue: 6 Pages: 773-809

    • DOI

      10.3102/10769986231173594

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13810, KAKENHI-PROJECT-20H01720
  • [Journal Article] Bayesian estimation of test engagement behavior models with response times.2023

    • Author(s)
      Yamaguchi, K., & Fujita, K.
    • Journal Title

      Tsukuba psychological research

      Volume: 61 Pages: 75-87

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K20759
  • [Journal Article] Bayesian estimation of test engagement behavior models with response times2023

    • Author(s)
      Yamaguchi Kauzhiro、Fujita Kazuya
    • Journal Title

      Tsukuba Psychological Research

      Volume: 61 Pages: 75-87

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13810
  • [Journal Article] Current Status of Open Science and Statistical Analysis in <i>The Japanese Journal of Educational Psychology</i>:2023

    • Author(s)
      山口 一大
    • Journal Title

      The Annual Report of Educational Psychology in Japan

      Volume: 62 Issue: 0 Pages: 143-164

    • DOI

      10.5926/arepj.62.143

    • ISSN
      0452-9650, 2186-3091
    • Year and Date
      2023-03-30
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13810, KAKENHI-PROJECT-20H01720
  • [Journal Article] Bayesian estimation of test engagement behavior models with response times.2023

    • Author(s)
      Yamaguchi, K., & Fujita, K.
    • Journal Title

      Tsukuba psychological research

      Volume: 61 Pages: 75-87

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H01720
  • [Journal Article] Variational Bayes inference for hidden Markov diagnostic classification models2023

    • Author(s)
      Yamaguchi Kazuhiro、Martinez Alfonso J.
    • Journal Title

      British Journal of Mathematical and Statistical Psychology

      Volume: 77 Issue: 1 Pages: 55-79

    • DOI

      10.1111/bmsp.12308

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13810, KAKENHI-PROJECT-20H01720
  • [Journal Article] Review of recent developments of parameter estimation methods in item response theory models with focus on studies reported in Psychometrika2022

    • Author(s)
      山口 一大
    • Journal Title

      Japanese Journal for Research on Testing

      Volume: 18 Issue: 1 Pages: 103-131

    • DOI

      10.24690/jart.18.1_103

    • ISSN
      1880-9618, 2433-7447
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H01720, KAKENHI-PROJECT-23K20759
  • [Journal Article] Direct Estimation of Diagnostic Classification Model Attribute Mastery Profiles via a Collapsed Gibbs Sampling Algorithm2022

    • Author(s)
      Yamaguchi Kazuhiro、Templin Jonathan
    • Journal Title

      Psychometrika

      Volume: Online Ahead of Print Issue: 4 Pages: 1390-1421

    • DOI

      10.1007/s11336-022-09857-7

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20759, KAKENHI-PROJECT-20H01720
  • [Journal Article] On the boundary problems in diagnostic classification models2022

    • Author(s)
      Yamaguchi Kazuhiro
    • Journal Title

      Behaviormetrika

      Volume: 50 Issue: 1 Pages: 399-429

    • DOI

      10.1007/s41237-022-00187-7

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K13810, KAKENHI-PROJECT-23K20759
  • [Journal Article] Fully Gibbs Sampling Algorithms for Bayesian Variable Selection in Latent Regression Models2022

    • Author(s)
      Yamaguchi Kazuhiro、Zhang Jihong
    • Journal Title

      Journal of Educational Measurement

      Volume: - Issue: 2 Pages: 202-234

    • DOI

      10.1111/jedm.12348

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13810, KAKENHI-PROJECT-23K20759
  • [Journal Article] A Gibbs Sampling Algorithm with Monotonicity Constraints for Diagnostic Classification Models2021

    • Author(s)
      Kazuhiro Yamaguchi, and Jonathan Templin
    • Journal Title

      Journal of Classification

      Volume: 39 Issue: 1 Pages: 24-54

    • DOI

      10.1007/s00357-021-09392-7

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00616, KAKENHI-PROJECT-20H01720, KAKENHI-PROJECT-23K20759
  • [Journal Article] Observed score reliability indices in diagnostic classification models.2021

    • Author(s)
      Kazuhiro Yamaguchi, and Jonathan Templin
    • Journal Title

      Behaviormetrika

      Volume: 49 Issue: 1 Pages: 47-68

    • DOI

      10.1007/s41237-021-00153-9

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00616, KAKENHI-PROJECT-23K20759
  • [Journal Article] Hybrid cognitive diagnostic model2020

    • Author(s)
      Yamaguchi, K., & Okada, K.
    • Journal Title

      Behaviormetrika

      Volume: - Issue: 2 Pages: 497-518

    • DOI

      10.1007/s41237-020-00111-x

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18J01312, KAKENHI-PROJECT-17H04787, KAKENHI-PROJECT-19H00616
  • [Journal Article] Variational Bayes Inference for the DINA Model2020

    • Author(s)
      Yamaguchi, K., Okada, K.
    • Journal Title

      Journal of Educational and Behavioral Statistics

      Volume: Online Ahead of Print Issue: 5 Pages: 569-597

    • DOI

      10.3102/1076998620911934

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17H04787, KAKENHI-PROJECT-18J01312, KAKENHI-PROJECT-19H00616
  • [Journal Article] Variational Bayesian inference for the multiple-choice DINA model2020

    • Author(s)
      Yamaguchi, K.
    • Journal Title

      Behaviormetrika

      Volume: 7 Issue: 1 Pages: 159-187

    • DOI

      10.1007/s41237-020-00104-w

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18J01312, KAKENHI-PROJECT-19H00616, KAKENHI-PROJECT-20H01720
  • [Journal Article] Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model2020

    • Author(s)
      Yamaguchi Kazuhiro、Okada Kensuke
    • Journal Title

      Psychometrika

      Volume: 85 Issue: 4 Pages: 973-995

    • DOI

      10.1007/s11336-020-09739-w

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H04787, KAKENHI-PROJECT-18J01312, KAKENHI-PROJECT-19H00616
  • [Journal Article] A re-formulation of the DINA model and a direct derivation of estimation algorithms2019

    • Author(s)
      山口 一大
    • Journal Title

      Japanese Journal for Research on Testing

      Volume: 15 Issue: 1 Pages: 21-44

    • DOI

      10.24690/jart.15.1_21

    • NAID

      130007691333

    • ISSN
      1880-9618, 2433-7447
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18J01312
  • [Journal Article] Practice on a Workshop Utilizing Web-based Investigation System for Teachers’ Judgments on Students’ Performance.2019

    • Author(s)
      Nakaya, K., Uesaka, Y., Kaminishi, H., Fukaya, T., Yamaguchi, K., & Nakagawa, M.
    • Journal Title

      Proceedings of the 27th International Conference on Computers in Education ICCE2019

      Volume: 2 Pages: 688-690

    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Journal Article] Vertical scaling of academic ability tests for elementary school first year students through junior high school third year students2019

    • Author(s)
      山口一大・敷島千鶴・星野崇宏・繁桝算男・赤林英夫
    • Journal Title

      The Japanese journal of psychology

      Volume: 90 Issue: 4 Pages: 408-418

    • DOI

      10.4992/jjpsy.90.18221

    • NAID

      130007733374

    • ISSN
      0021-5236, 1884-1082
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17H06086, KAKENHI-PROJECT-18J01312, KAKENHI-PROJECT-16H06323
  • [Journal Article] 教師の実態把握力の分析と授業改善への展開ー学力テストの応用から解析ツールWitsを用いたワークショップまでー2019

    • Author(s)
      植阪友理・中川正宣・山口一大・深谷達史・仲谷佳恵・上西秀和・金岡幸江・前川眞一
    • Journal Title

      日本教育心理学会第61回総会発表論文集

      Volume: - Pages: 90-91

    • Open Access
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] 診断分類モデルにおける一般化ベイズ法について2023

    • Author(s)
      山口 一大
    • Organizer
      日本テスト学会第21回大会
    • Data Source
      KAKENHI-PROJECT-22K13810
  • [Presentation] Recent developments in variational inference algorithms for restricted latent class models.2023

    • Author(s)
      Yamaguchi, K.
    • Organizer
      The 6th International Conference on Econometrics and Statistics (EcoSta 2023) Tokyo, Japan.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00616
  • [Presentation] Recent developments in variational inference algorithms for restricted latent class models2023

    • Author(s)
      Yamaguchi, K. (2023 August)
    • Organizer
      The 6th International Conference on Econometrics and Statistics (EcoSta 2023)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K13810
  • [Presentation] Recent developments in variational inference algorithms for restricted latent class models.2023

    • Author(s)
      Yamaguchi, K.
    • Organizer
      The 6th International Conference on Econometrics and Statistics (EcoSta 2023) Tokyo, Japan.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00065
  • [Presentation] A variational Bayesian posterior approximation method for hidden Markov diagnosis classification models.2022

    • Author(s)
      Yamaguchi, K., & Martinez, A. K.
    • Organizer
      The 11th Conference of The Asian Regional Section of the International Association for Statistical Computing. Online.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00616
  • [Presentation] The development of "variationalDCM" an R package performing variational Bayesian estimation for DCMs2022

    • Author(s)
      Hijikata, K., Oka, M., Yamaguchi, K., & Okada, K.
    • Organizer
      The 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics) 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20759
  • [Presentation] A variational Bayesian posterior approximation method for hidden Markov diagnosis classification models2022

    • Author(s)
      Kazuhiro Yamaguchi, Alfonso J. Martinez
    • Organizer
      The 11th Conference of the IASC-ARS The Asian Regional Section of the International Association for Statistical Computing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20759
  • [Presentation] 認知診断モデルの基本の基2022

    • Author(s)
      山口一大
    • Organizer
      日本テスト学会第15回「日本テスト学会賞」記念講演会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K20759
  • [Presentation] Variational Bayes Inference Algorithm for Longitudinal Diagnostic Classification Models2021

    • Author(s)
      Kazuhiro Yamaguchi, Alfonso J. Martinez
    • Organizer
      International Meeting of the Psychometric Society (IMPS) 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K20759
  • [Presentation] A Collapsed Gibbs Sampling Algorithm for Diagnostic Classification Models2021

    • Author(s)
      Yamaguchi Kazuhiro, Templin Jonathan
    • Organizer
      日本行動計量学会第49回大会
    • Data Source
      KAKENHI-PROJECT-23K20759
  • [Presentation] Practice on a Workshop Utilizing Web-based Investigation System for Teachers’ Judgments on Students’ Performance.2019

    • Author(s)
      Nakaya, K., Uesaka, Y., Kaminishi, H., Fukaya, T., Yamaguchi, K., & Nakagawa, M.
    • Organizer
      Proceedings of the 27th International Conference on Computers in Education ICCE2019,vol.2, 688-690. (2019年12月05日発表)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H00616
  • [Presentation] Practice on a Workshop Utilizing Web-based Investigation System for Teachers’ Judgments on Students’ Performance.2019

    • Author(s)
      Nakaya, K., Uesaka, Y., Kaminishi, H., Fukaya, T., Yamaguchi, K., & Nakagawa, M.
    • Organizer
      The 27th International Conference on Computers in Education(ICCE2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] 教師の実態把握力を表現する新たな指標:解析例とそれが意味することまで(自主シンポジウム:教師の実態把握力の分析と授業改善への展開 ―学力テストへの応用から解析ツール)2019

    • Author(s)
      植阪友理・中川正宣・山口一大
    • Organizer
      日本教育心理学会第61回総会
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] Variational Bayes inference for the cognitive diagnostic models2019

    • Author(s)
      Yamaguchi, K. & Okada, K.
    • Organizer
      The 84th Annual Meeting of the Psychometric Society
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18J01312
  • [Presentation] INA型認知診断モデルにおける変分ベイズ推定について2019

    • Author(s)
      山口 一大・岡田 謙介
    • Organizer
      大規模・複雑化データに対する解析手法の多面的研究
    • Data Source
      KAKENHI-PROJECT-18J01312
  • [Presentation] A hybrid cognitive diagnostic model.2018

    • Author(s)
      Yamaguchi, K., & Okada, K.
    • Organizer
      The 83rd Annual Meeting of the Psychometric Society.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18J01312
  • [Presentation] DINAモデルの最定式化とEMアルゴリズムの直接的導出2018

    • Author(s)
      山口 一大
    • Organizer
      日本教育心理学会第60回総会
    • Data Source
      KAKENHI-PROJECT-18J01312
  • [Presentation] アトリビュートの補償・非補償関係を統合した認知診断モデルの開発2018

    • Author(s)
      山口 一大・岡田 謙介
    • Organizer
      日本テスト学会第16回大会
    • Data Source
      KAKENHI-PROJECT-18J01312
  • [Presentation] DINAモデルにおける変分ベイズ推論2018

    • Author(s)
      山口 一大・岡田 謙介
    • Organizer
      日本行動計量学会第46回大会
    • Data Source
      KAKENHI-PROJECT-18J01312
  • [Presentation] Development of web-based investigation system for teachers’ judgements on students’ performance.2017

    • Author(s)
      Nakaya, K., Yamaguchi, K., Kaminishi, H., Fukaya, T., Uesaka, Y., & Nakagawa, M.
    • Organizer
      The 17th biennial EARLI conference for research on learning and instruction(EARLI2017), August 29-September2, University of Tampere, Finland.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] "Development of Web-based Investigation System for Teachers’ Judgements on Students’ Performance.2017

    • Author(s)
      Nakaya, K., Yamaguchi, K., Kaminishi, H., Fukaya, T., Uesaka, U., and Nakagawa, M.
    • Organizer
      The 17th biennial conference of the European Association for Research on Learning and Instruction (EARLI)
    • Place of Presentation
      Tampere, Finland
    • Year and Date
      2017-08-29
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] 教師は生徒の学習方略利用の実態を把握できているのか?―数理モデルを用いた教師の予測の正確性の分析2017

    • Author(s)
      植阪友理・中川正宣・山口一大・仲谷佳恵・上西秀和・深谷達史
    • Organizer
      日本教育心理学会第59回総会, pp.613, 名古屋国際会議場
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] 看護専門学校「情報科学」期末試験におけるWitsを用いた実態把握力の分析実践事例2017

    • Author(s)
      上西秀和・植阪友理・山口一大・中川正宣
    • Organizer
      日本テスト学会第15回大会, 東北大学
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] New Mathematical Model for Analyzing Accuracy of Teachers’ Predictions About Student Competencies2017

    • Author(s)
      Uesaka, Y., Nakagawa, M., Yamaguchi, K., Kaminishi, H., Nakaya, K., & Fukaya, T.
    • Organizer
      The 17th biennial EARLI conference for research on learning and instruction(EARLI2017), August 29-September2, University of Tampere, Finland.
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] New Mathematical Model for Analyzing Accuracy of Teachers’ Predictions About Student Competencies2017

    • Author(s)
      Uesaka, Y., Nakawaga, M., Yamaguchi, K., Kaminishi, H., Nakaya, K., and Fukaya, T.,
    • Organizer
      The 17th biennial conference of the European Association for Research on Learning and Instruction (EARLI)
    • Place of Presentation
      Tampere, Finland
    • Year and Date
      2017-08-29
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] 導者は生徒の実態を正しく把握できているのか? ―実態把握力を解析する数理モデルの全国学力テストへの適用2017

    • Author(s)
      植阪友理・深谷達史・山口一大・仲谷佳恵・上西秀和・中川正宣
    • Organizer
      日本テスト学会第15回大会, 東北大学
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] 実データの解析2016

    • Author(s)
      山口一大・植阪友理
    • Organizer
      シンポジウム『教師の「実態把握力」はどのように量的に分析できるか―モデルの開発から実データの解析まで―』
    • Place of Presentation
      東京大学
    • Year and Date
      2016-03-04
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] Webシステム”Wits”による教師の実態把握力の解析―算数学力・学習力診断テストCOMPASSを用いた検討―2015

    • Author(s)
      仲谷佳恵・山口一大・上西秀和・植阪友理・中川正宣
    • Organizer
      日本テスト学会第13回大会
    • Place of Presentation
      関西大学
    • Year and Date
      2015-09-11
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] 教師の実態把握力を評価する新たな枠組みの提案―新たな数理モデルの開発とパラメータの意味―2015

    • Author(s)
      植阪友理・仲谷佳恵・山口一大・上西秀和・中川正宣
    • Organizer
      日本テスト学会第13回大会
    • Place of Presentation
      関西大学
    • Year and Date
      2015-09-11
    • Data Source
      KAKENHI-PROJECT-15H02924
  • [Presentation] 教師の実態把握力を解析する数理モデルに関する考察―KL情報量との比較を中心に―2015

    • Author(s)
      上西秀和・植阪友理・山口一大・中川正宣
    • Organizer
      日本テスト学会第13回大会
    • Place of Presentation
      関西大学
    • Year and Date
      2015-09-11
    • Data Source
      KAKENHI-PROJECT-15H02924
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