戴 憶菱Yiling Dai

Last Updated :2025/04/25

所属・職名
広島大学

基本情報

主な職歴

  • 2021年04月, 2025年03月, 京都大学, 学術情報メディアセンター, 特定研究員

学歴

  • 京都大学, 大学院情報学研究科, 社会情報学専攻, 2015年04月, 2021年03月
  • 立教大学, 経営学研究科, 経営学専攻博士課程前期課程, 2013年04月, 2015年03月
  • 浙江大学, 管理学部, 情報管理システム, 2008年08月, 2012年06月

学位

  • 博士 情報学　(京都大学)

研究活動

学術論文（★は代表的な論文）

  1. Examining motivational factors influencing self-explanation quality and mathematics achievement in online learning for junior high students, Interactive Learning Environments, 20250407
  2. Do personal recommendations need to be personalized? Investigating the relationships between student differences and educational recommendations, Smart Learning Environments, 20241218
  3. Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context, Technology, Knowledge and Learning, 20240703
  4. Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender, International Journal of Distance Education Technologies, 22巻, 1号, pp. 1-23, 20240207
  5. Auto-Scoring of Math Self-Explanations by Combining Visual and Language Analysis., IEEE International Conference on Advanced Learning Technologies(ICALT), pp. 164-168, 2024
  6. An Automated Impasse Detection System Based on the Analysis of Self-Explanations in Mathematics., IEEE International Conference on Advanced Learning Technologies(ICALT), pp. 75-79, 2024
  7. Integrating self-explanation and operational data for impasse detection in mathematical learning., Res. Pract. Technol. Enhanc. Learn., 20巻, pp. 19-19, 2024
  8. Improved Automated Labeling of Mathematical Exercises in Japanese, 31st International Conference on Computers in Education, ICCE 2023 - Proceedings, 1巻, pp. 78-87, 202312
  9. ECLAIR: A Centralized Al-Powered Recommendations System in a Multi-Node EXAIT System, 31st International Conference on Computers in Education, ICCE 2023 - Proceedings, 1巻, pp. 422-428, 202312
  10. A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises, Research and Practice in Technology Enhanced Learning, 19巻, pp. 028-028, 20231120
  11. Enhancing Self-Explanation Learning through a Real-Time Feedback System: An Empirical Evaluation Study, Sustainability, 15巻, 21号, pp. 15577-15577, 20231102
  12. Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach, Computers, 12巻, 11号, pp. 217-217, 20231024
  13. Automated labeling of PDF mathematical exercises with word N-grams VSM classification, Smart Learning Environments, 10巻, 1号, 20231018
  14. Beyond recommendation acceptance: explanation’s learning effects in a math recommender system, Research and Practice in Technology Enhanced Learning, 19巻, pp. 020-020, 20230912
  15. EXAIT: Educational eXplainable Artificial Intelligent Tools for personalized learning, Research and Practice in Technology Enhanced Learning, 19巻, pp. 019-019, 20230828
  16. Unsupervised techniques for generating a standard sample self-explanation answer with knowledge components in a math quiz, Research and Practice in Technology Enhanced Learning, 19巻, pp. 016-016, 20230816
  17. Personality-based tailored explainable recommendation for trustworthy smart learning system in the age of artificial intelligence, Smart Learning Environments, 10巻, 1号, 2023
  18. An Automatic Self-explanation Sample Answer Generation with Knowledge Components in a Math Quiz, International Conference on Artificial Intelligence in Education (AIED 2022), 202207
  19. Educational Explainable Recommender Usage and its Effectiveness in High School Summer Vacation Assignment, LAK22: 12th International Learning Analytics and Knowledge Conference, 20220321
  20. Identifying Students' Stuck Points Using Self-Explanations and Pen Stroke Data in a Mathematics Quiz, 29th International Conference on Computers in Education Conference, ICCE 2021 - Proceedings, 2巻, pp. 521-530, 20211122
  21. EXAIT: A Symbiotic Explanation Learning System, 29TH INTERNATIONAL CONFERENCE ON COMPUTERS IN EDUCATION (ICCE 2021), VOL I, pp. 404-409, 2021
  22. Prerequisite-aware course ordering towards getting relevant job opportunities., Expert Syst. Appl., 183巻, pp. 115233-115233, 2021
  23. Estimating Knowledge Category Coverage by Courses Based on Centrality in Taxonomy., IEICE Trans. Inf. Syst., 103-D巻, 5号, pp. 928-938, 2020
  24. Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners., Proceedings of the 9th International Conference on Educational Data Mining(EDM), pp. 347-352, 2016
  25. Seller reputation or product presentation? An empirical investigation from cue utilization perspective., Int. J. Inf. Manag., 36巻, 3号, pp. 271-283, 2016
  26. The Influence of Online Product Presentation and Seller Reputation on the Consumers' Purchase Intention across Different Involvement Products., 17th Pacific Asia Conference on Information Systems(PACIS), pp. 137-137, 2013

外部資金

競争的資金等の採択状況

  1. 戦略的イノベーション創造プログラム（SIP3）, ポストコロナ時代の学び方・働き方を実現するプラットフォームの構築, 2023年10月, 2028年03月
  2. 科学研究費助成事業, Extraction and Use of Highly Explainable and Transferable Indicators for AI in Education, 2024年04月01日, 2026年03月31日
    関連URL
  3. 科学研究費助成事業, 知識の空間と時間における習得プロセスの可視化とその学習効果, 2024年04月01日, 2026年03月31日
    関連URL
  4. 科学研究費助成事業, Extraction and Use of Highly Explainable and Transferable Indicators for AI in Education, 2023年04月, 2026年03月
    関連URL

社会活動

委員会等委員歴

  1. ICCE, PC member, 2022年, 9999年
  2. LAK, PC member, 2023年, 2024年
  3. EDUsummIT2023, working groups member, 2023年, 2023年
  4. ICCE2023, LOC, 2023年, 2023年