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Application of Artificial Intelligence to Dental Education

Research Project

Project/Area Number 18K09900
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 57080:Social dentistry-related
Research InstitutionOsaka Dental University

Principal Investigator

MASUNO Kazuya  大阪歯科大学, 歯学部, 教授 (40288775)

Co-Investigator(Kenkyū-buntansha) 王 宝禮  大阪歯科大学, 歯学部, 教授 (20213613)
田中 忠芳  金沢工業大学, 基礎教育部, 准教授 (30460413)
Project Period (FY) 2018-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Keywords人工知能 / ジェネリック・スキル / アセスメント・テスト / 歯科医学教育 / 人口知能 / 自動採点システム / ルーブリック評価 / AI / e-learning / クラウドコンピューティング
Outline of Final Research Achievements

The items to be compared over time in the students' academic performance data were organized, and which items were suitable for artificial intelligence input were compared and examined. As a result, we adopted a summative exam for students in grades 1 through 4, which is a promotion exam after completion of credit exams, a clinical knowledge exam for students in grade 5, and a bachelor's exam for students in grade 6, which is a graduation exam. For assessment testing, first-year students took the PROG test and third-year students took the GPS Academic test. 3 years of data were continuously accumulated. Using artificial intelligence from Oracle Corporation Japan, the results of a comprehensive evaluation of the students' academic performance and assessment test scores showed that students with higher generic skills tended to perform better academically.

Academic Significance and Societal Importance of the Research Achievements

歯科医師国家試験が難しくなってきている状況や、CBT、OSCEの公的実施にむけ歯科医学教育の改善が求められている。今までの教育方法は学業の成績のみでの指導が主流であったが、既存の指導方法では成績が改善しない学生が多数存在している。不合格科目が多い学生や全教科で点数が低い学生は生活習慣や家庭環境の改善が必要だと感じている。そこで専門科目の成績向上だけでなく、問題解決力やコミュニケーション力などのジェネリック・スキルの改善などに、アセスメント・テストが歯科医学教育にも有用だと考えた。その分析に人工知能を用いて効果的な学習方略の策定を試みた。

Report

(7 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (4 results)

All 2022 2020 2019

All Presentation (4 results) (of which Int'l Joint Research: 1 results)

  • [Presentation] Generic skill visualization using assessment tests2022

    • Author(s)
      Kazuya Masuno, Tetsunari Nishikawa, Kazuko Sakashita, Sachiko Eto, Pao-Li Wang, Yoshitomo Honda, Yoshiko Ariji, Hironori Akiyama, Takayoshi Kawazoe
    • Organizer
      The 33rd Annual Scientific Conference of South East Asian Association for Dental Education
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] 学習環境の場としての学力強化合宿は有効か2020

    • Author(s)
      益野一哉、松本秀範、西川哲成、王宝禮、柏木宏介、合田征司、田中昭男、川添堯彬
    • Organizer
      第39回日本歯科医学教育学会
    • Related Report
      2020 Research-status Report
  • [Presentation] 歯科医学教育のための記述式試験対応採点処理システムの開発2019

    • Author(s)
      益野一哉、王宝禮
    • Organizer
      第38回日本歯科医学教育学会
    • Related Report
      2019 Research-status Report
  • [Presentation] 記述式試験対応採点処理システムの開発2019

    • Author(s)
      田中忠芳、益野一哉、王宝禮
    • Organizer
      日本リメディアル教育学会 第12回関西支部大会
    • Related Report
      2018 Research-status Report

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Published: 2018-04-23   Modified: 2025-01-30  

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