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

Brierley Mark  Brierley Mark

ORCIDConnect your ORCID iD *help
… Alternative Names

BRIERLEY Mark  ブライアリー マーク

Less
Researcher Number 70646877
Other IDs
Affiliation (Current) 2025: 信州大学, 全学教育センター, 特任准教授
Affiliation (based on the past Project Information) *help 2023 – 2024: 信州大学, 全学教育センター, 外国語准教授
2017 – 2022: 信州大学, 全学教育機構, 外国語准教授
2012 – 2014: 信州大学, 全学教育機構, 外国語准教授
Review Section/Research Field
Principal Investigator
Basic Section 02100:Foreign language education-related / Educational technology
Except Principal Investigator
Basic Section 02100:Foreign language education-related / Educational technology
Keywords
Principal Investigator
多読 / 難易度推定 / 機械学習 / 難易度 / 生成系AI / e-learning / クラウド / Extensive Reading
Except Principal Investigator
authentic literature / German … More / Extensive Reading / e-ラーニング / レベル推定 / 多読 / 語学学習 / eラーニング Less
  • Research Projects

    (5 results)
  • Research Products

    (29 results)
  • Co-Researchers

    (9 People)
  •  Analyzing and Categorizing Manga and Children's Books for Extensive Reading in German

    • Principal Investigator
      GOTO CORINNA・V.
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 02100:Foreign language education-related
    • Research Institution
      Shinshu University
  •  Machine Learning to Simplify English for Extensive ReadingPrincipal Investigator

    • Principal Investigator
      Brierley Mark
    • Project Period (FY)
      2023 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 02100:Foreign language education-related
    • Research Institution
      Shinshu University
  •  Estimating Extensive Reading Text Difficulty Using Machine LearningPrincipal Investigator

    • Principal Investigator
      Brierley Mark
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 02100:Foreign language education-related
    • Research Institution
      Shinshu University
  •  Online Systems to Support Extensive ReadingPrincipal Investigator

    • Principal Investigator
      Brierley Mark
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Educational technology
    • Research Institution
      Shinshu University
  •  Development of a System for Recommending Graded Readers based on Estimates of Degree of Difficulty

    • Principal Investigator
      RUZICKA DAVID・ED
    • Project Period (FY)
      2012 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Educational technology
    • Research Institution
      Shinshu University

All 2023 2022 2021 2020 2019 2018 2017 2013 2012

All Journal Article Presentation Book

  • [Book] Towards a Graded Reader Database, Chapter in PanSIG Journal 20182019

    • Author(s)
      Mark Brierley, Amanda Gillis Furutaka, Masaaki Niimura, David Ruzicka, Mamoru Takahashi, Takayoshi Yoshioka
    • Publisher
      JALT
    • ISBN
      9784901352581
    • Data Source
      KAKENHI-PROJECT-17K01119
  • [Journal Article] Reading The Gruffalo in Another Language: Assessing Non-Graded Children’s Picture Books for Extensive Reading2023

    • Author(s)
      Corinna V. GOTO & Mark BRIERLEY
    • Journal Title

      信州大学総合人間科学研究

      Volume: 17 Pages: 92-104

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Journal Article] Proposal of a Difficulty Estimation Method for Extensive Reading of General Books in English2023

    • Author(s)
      Riho Sakaguchi, Masaaki Niimura & Mark Brierley
    • Journal Title

      PanSIG Journal

      Volume: 2022 Pages: 190-197

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K00650
  • [Journal Article] “Reading The Gruffalo in Another Language: Assessing Non-Graded Children’s Picture Books for Extensive Reading”2023

    • Author(s)
      Corinna V. Goto & Mark Brierley
    • Journal Title

      信州大学総合人間科学研究

      Volume: 17 Pages: 92-104

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K00650
  • [Journal Article] The Potential of Machine Translation to Provide Texts for Extensive Reading2023

    • Author(s)
      Brierley Mark
    • Journal Title

      JALT Postconference Publication - Issue 2022.1; August 2023

      Volume: 2022 Issue: 1 Pages: 264-264

    • DOI

      10.37546/jaltpcp2022-30

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K00650
  • [Journal Article] Developing an Online Graded Reader Database to Support ER2020

    • Author(s)
      Mark Brierley, Ryoma Nakamura, Masaaki Niimura
    • Journal Title

      Proceedings of the fifth World Congress of Extensive Reading

      Volume: 5 Pages: 219-228

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Journal Article] Development of the Online Self-Placement Test Engine That Interactively Selects Texts for an Extensive Reading Test2012

    • Author(s)
      Kosuke Adachi, Mark Brierley, and Masaaki Niimura
    • Journal Title

      Intelligent Interactive Multimedia: Systems and Services

      Volume: 14 Pages: 213-222

    • DOI

      10.1007/978-3-642-29934-6_21

    • ISBN
      9783642299339, 9783642299346
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24501183
  • [Presentation] AI: Threats and Opportunities for Teachers and Learners2023

    • Author(s)
      Gary Ross, Mark Brierley
    • Organizer
      JALT2023
    • Data Source
      KAKENHI-PROJECT-23K00650
  • [Presentation] Estimating text difficulty with machine learning2023

    • Author(s)
      Mark Brierley
    • Organizer
      Sixth Extensive Reading World Congress, Denpasar, Indonesia
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K00650
  • [Presentation] Writing a Series of Graded Readers in a University classroom2023

    • Author(s)
      Mark Brierley
    • Organizer
      JALT2023
    • Data Source
      KAKENHI-PROJECT-23K00650
  • [Presentation] The Potential of Machine Translation to Provide Online Extensive Reading2022

    • Author(s)
      MARK BRIERLEY
    • Organizer
      JALT2022 全国語学教育学会 第48回年次国際大会
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Reading your way to better English2022

    • Author(s)
      MARK BRIERLEY
    • Organizer
      JALT(全国語学教育学会)豊橋支部
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Automatic question generation for an extensive reading placement test2022

    • Author(s)
      TOYOSHIMA KOTA, MASAAKI NIIMURA, MARK BRIERLEY
    • Organizer
      JALT PanSIG2022
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Extensive reading ABC: Agency, Books and Counting2022

    • Author(s)
      MARK BRIERLEY
    • Organizer
      JALT(全国語学教育学会)岐阜支部
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Difficulty estimation method for extensive reading of general english books2022

    • Author(s)
      SAKAGUCHI RIHO, MASAAKI NIIMURA, MARK BRIERLEY
    • Organizer
      JALT PanSIG2022
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Using lending history to recommend books for extensive reading2022

    • Author(s)
      SHUICHIRO KACHI, MASAAKI NIIMURA, MARK BRIERLEY
    • Organizer
      JALT PanSIG2022
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Testing Extensive Reading2021

    • Author(s)
      Mark Brierley
    • Organizer
      Extensive Reading Around the World 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] A Machine Learning Method for Estimating the Difficulty Level of Graded Readers2021

    • Author(s)
      Noda Yuki, Masaaki Niimura, Mark Brierley & Megumi HASEBE
    • Organizer
      Extensive Reading Around the World 2021
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Getting Students Reading: How and Why2020

    • Author(s)
      Mark Brierley
    • Organizer
      Yamagata JALT Presentation
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] 多読支援Webデータベースの開発2020

    • Author(s)
      中村涼真,新村正明, 増田武浩, Mark Brierley
    • Organizer
      Extensive Reading Summer Seminar 2020
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Online reading e-books in the library2020

    • Author(s)
      Mark Brierley
    • Organizer
      Fukuoka JALT Presentation
    • Data Source
      KAKENHI-PROJECT-20K00800
  • [Presentation] Developing an Online Graded Reader Database to Support ER2019

    • Author(s)
      Ryoma Nakamura, Masaaki Niimura, Mark Brierley, Amanda Gillis-Furutaka
    • Organizer
      The Fifth World Congress On Extensive Reading
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K01119
  • [Presentation] Towards a Comprehensive Graded Reader Database2018

    • Author(s)
      Mark Brierley, David Ruzicka
    • Organizer
      JALT PanSIG2018 Conference
    • Data Source
      KAKENHI-PROJECT-17K01119
  • [Presentation] Easier Access to the ERF Placement Test via Moodle: A Simple Way to Check Reading Levels2017

    • Author(s)
      Mark Brierley, David Ruzicka
    • Organizer
      Extensive Reading World Congress
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K01119
  • [Presentation] Assessment and ER2017

    • Author(s)
      Mark Brierley
    • Organizer
      全国語学教育学会(JALT)分野別研究部会2017年次大会
    • Data Source
      KAKENHI-PROJECT-17K01119
  • [Presentation] Trialling an extensive reading test2013

    • Author(s)
      NIIMURA Masaaki, BRIERLEY Mark, SUMI Akito and WARING Rob
    • Organizer
      JALTCALL 2013, 全国語学教育学会
    • Place of Presentation
      信州大学
    • Data Source
      KAKENHI-PROJECT-24501183
  • [Presentation] Online Placement Testの開発2013

    • Author(s)
      SUMI Akito, NIIMURA Masaaki and BRIERLEY Mark
    • Organizer
      JALTCALL 2013, 全国語学教育学会
    • Place of Presentation
      信州大学
    • Data Source
      KAKENHI-PROJECT-24501183
  • [Presentation] ERF Online Placement Test2013

    • Author(s)
      Mark BRIERLEY, Masaaki NIIMURA, Akito SUMI
    • Organizer
      World Congress in Extensive Reading
    • Place of Presentation
      Yonsei University, 韓国
    • Data Source
      KAKENHI-PROJECT-24501183
  • [Presentation] The Extensive Reading Foundation's Online Self-Placement Test2012

    • Author(s)
      Mark BRIERLEY, Kosuke ADACHI and Richard Lemmer
    • Organizer
      JALT Pan-SIG Conference
    • Place of Presentation
      広島大学
    • Data Source
      KAKENHI-PROJECT-24501183
  • 1.  NIIMURA Masaaki (20345755)
    # of Collaborated Projects: 5 results
    # of Collaborated Products: 13 results
  • 2.  RUZICKA DAVID・ED (70436898)
    # of Collaborated Projects: 4 results
    # of Collaborated Products: 3 results
  • 3.  長谷部 めぐみ (50878725)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 4.  ギリス・フルタカ アマンダ (00257768)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 5.  高橋 守 (90236323)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  DALTON COLLEEN (30805304)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  GOTO CORINNA・V. (80819342)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  磯部 美穂 (60579853)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  Gary Ross (10708142)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi