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LEE SONG-YA  李 頌雅

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李 頌雅  リ ショウガ

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Researcher Number 30964655
Affiliation (Current) 2025: 長崎大学, 多文化社会学部, 助教
Affiliation (based on the past Project Information) *help 2023: 大阪大学, 大学院人文学研究科(人文学専攻、芸術学専攻、日本学専攻), 助教
Review Section/Research Field
Principal Investigator
Basic Section 02070:Japanese linguistics-related
Keywords
Principal Investigator
稽古 / 能楽 / 身体的技術の指導 / 指導と学習の相互行為 / マルチモーダル会話分析
  • Research Projects

    (1 results)
  • Research Products

    (4 results)
  •  Multimodal conversation analysis of Japanese Noh classroom practice: Focusing on the interaction of teaching and learningPrincipal Investigator

    • Principal Investigator
      李 頌雅
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 02070:Japanese linguistics-related
    • Research Institution
      Osaka University

All 2024 2023

All Journal Article Presentation

  • [Journal Article] Multimodal Conversation Analysis on the Instructions of Physical Skills: Focusing on the Initiation of Corrections seen in the Japanese Noh dance Practice2024

    • Author(s)
      李頌雅
    • Journal Title

      Studies in Pragmatics

      Volume: 25 Issue: 0 Pages: 106-128

    • DOI

      10.60414/pragmatics.25.0_106

    • ISSN
      1345-7365, 2759-3363
    • Year and Date
      2024-03-31
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K12191
  • [Presentation] 能楽の稽古における「構え」と「型」の指導:指導者による指示に着目して2024

    • Author(s)
      李頌雅
    • Organizer
      「わざ」を伝えるマルチモダリティ:武道・芸道における指導-学習インタラクション
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K12191
  • [Presentation] 身体的技術の指導に関するマルチモーダル会話分析:能楽教室の稽古場面を例として2023

    • Author(s)
      李頌雅
    • Organizer
      2023年台大日本語創新国際学術シンポジウム(2023臺大日本語文創新國際學術研討會)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K12191
  • [Presentation] 能楽仕舞の指導場面に関するマルチモーダル会話分析:パターン化された動きの説明に着目して2023

    • Author(s)
      李頌雅
    • Organizer
      第6回会話分析研究発表会
    • Data Source
      KAKENHI-PROJECT-23K12191

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