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Development of three party tutoring system for mastering machine learning

Research Project

Project/Area Number 18K11569
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 62030:Learning support system-related
Research InstitutionKyoto Institute of Technology

Principal Investigator

Araki Masahiro  京都工芸繊維大学, 情報工学・人間科学系, 准教授 (50252490)

Project Period (FY) 2018-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2019: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywordsチュータリングシステム / 質問応答システム / マルチモーダル対話 / 知的チュータリングシステム / 知的チュータリングシステ / 機械学習 / 三者対話システム
Outline of Final Research Achievements

This study aimed to develop a tutoring system that maintains learners' alertness while minimizing psychological stress. Initially, we created a triadic dialogue-based tutoring system prototype and validated its efficacy through a survey comparing it with a dyadic dialogue approach. Regarding question answering using knowledge graphs, we developed a method to construct knowledge graphs from textbook descriptions using predicate-argument structures and a search method incorporating various types of similarity. The question-response section was constructed using these methods, and functionality was confirmed through basic question scenarios. Furthermore, we developed a method for evaluating user responses to system questions. We confirmed the effectiveness of this evaluation method in creating knowledge graphs based on word dependency and predicate relations.

Academic Significance and Societal Importance of the Research Achievements

本研究で取り組んだ覚醒度を保ちつつ心理的負担を軽減する新しい形のチュータリングシステムは、個々の学習者がより効率的で快適な学習を体験することを目指したものである。特に、リモート学習や自己学習の機会が増加している現代社会において、この種の技術は教育のアクセシビリティと効率性を向上させる可能性がある。さらに、知識グラフを用いた質問応答や解答評価は、システムが学習者の理解度を評価し、個々の学習ニーズに対応するための有効なツールとなって、学習をより適切にガイドすることが可能になると考えられる。

Report

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

    (11 results)

All 2022 2021 2020 2019 2018

All Journal Article (3 results) (of which Peer Reviewed: 3 results,  Open Access: 3 results) Presentation (7 results) (of which Int'l Joint Research: 3 results) Book (1 results)

  • [Journal Article] Automatic Short Answer Grading to Pedagogical Questions Using Knowledge Graphs and Pre-trained Models2022

    • Author(s)
      寺西 帝乃, 荒木 雅弘
    • Journal Title

      Transactions of the Japanese Society for Artificial Intelligence

      Volume: 37 Issue: 4 Pages: B-LC2_1-15

    • DOI

      10.1527/tjsai.37-4_B-LC2

    • ISSN
      1346-0714, 1346-8030
    • Year and Date
      2022-07-01
    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Integrated taxonomy of errors in chat-oriented dialogue systems2021

    • Author(s)
      Ryuichiro Higashinaka, Masahiro Araki, Hiroshi Tsukahara, Masahiro Mizukami
    • Journal Title

      Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue

      Volume: SIGDIAL Pages: 89-98

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Development of Interactive Tutoring System with Question Answering Function based on Knowledge Graph2020

    • Author(s)
      小嶋 拓海, 飯田 琢矢, 寺西 帝乃, 荒木 雅弘
    • Journal Title

      Transactions of the Japanese Society for Artificial Intelligence

      Volume: 35 Issue: 1 Pages: DSI-H_1-9

    • DOI

      10.1527/tjsai.DSI-H

    • NAID

      130007779295

    • ISSN
      1346-0714, 1346-8030
    • Year and Date
      2020-01-01
    • Related Report
      2019 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] 発問型チュータリングシステムにおける解答の自動評価2021

    • Author(s)
      寺西 帝乃, 荒木 雅弘
    • Organizer
      第93回 言語・音声理解と対話処理研究会
    • Related Report
      2021 Research-status Report
  • [Presentation] Improving user engagement with dialogue systems through meaningful response generation2021

    • Author(s)
      Daina Teranishi and Masahiro Araki
    • Organizer
      The 1st RobotDial Workshop on Dialogue Models for Human-Robot Interaction
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] 深層強化学習を用いた雑談対話システム2020

    • Author(s)
      寺西帝乃, 荒木雅弘
    • Organizer
      言語・音声理解と対話処理研究会
    • Related Report
      2020 Research-status Report
  • [Presentation] Three-Party Interactive Tutoring System for Mastering Machine Learning2019

    • Author(s)
      Takumi Kojima, Takuya Iida, Daina Teranishi and Masahiro Araki
    • Organizer
      Dialog for Good
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] Multimodal Dialogue Data Collection and Analysis of Annotation Disagreement2019

    • Author(s)
      Kazunori Komatani, Shogo Okada, Haruto Nishimoto, Masahiro Araki and Mikio Nakano
    • Organizer
      Tenth International Workshop on Spoken Dialogue Systems Technology (IWSDS) 2019
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] 雑談対話におけるマルチモーダル情報を統合した興味判定手法2018

    • Author(s)
      松本 紗規子, 荒木雅弘
    • Organizer
      人工知能学会 言語・音声理解と対話処理研究会
    • Related Report
      2018 Research-status Report
  • [Presentation] 配布可能なマルチモーダル対話データの収集とアノテーション不一致傾向の分析2018

    • Author(s)
      駒谷 和範, 岡田 将吾, 西本 遥人, 荒木 雅弘, 中野 幹生
    • Organizer
      人工知能学会 言語・音声理解と対話処理研究会
    • Related Report
      2018 Research-status Report
  • [Book] マンガでわかる機械学習2018

    • Author(s)
      荒木 雅弘
    • Total Pages
      216
    • Publisher
      オーム社
    • ISBN
      9784274222443
    • Related Report
      2018 Research-status Report

URL: 

Published: 2018-04-23   Modified: 2024-01-30  

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