Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 4 Quality Education
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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「大学の実力」調査データ(2008-2018)による退学率と教育改善策の研究
SHIRATORI, N. (CoPI), 川 拓雄宇田 (CoPI), 田尻 慎太郎田尻 (CoPI) & 美奈松本 (CoPI)
1/04/23 → …
Project: Subsidies for on-campus educational facilities
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中退防止施策の介入効果を把握する中退予測モデルの開発
SHIRATORI, N. (CoPI) & 白鳥 成彦白鳥 (CoPI)
1/04/23 → …
Project: Subsidies for on-campus educational facilities
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教学データに学生の学内外の人間関係データを組み込んだ中退予測モデルの開発
SHIRATORI, N. (CoPI) & 白鳥 成彦白鳥 (CoPI)
1/04/20 → …
Project: Subsidies for on-campus educational facilities
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Constructing Ontology-Map for Visualization of Various Activities by Japanese Universities
SHIRATORI, N. (CoPI), 森 雅生森 (CoPI), 英一高田 (CoPI), 大石 哲也大石 (CoPI), 小柏 香穂理小柏 (CoPI), 白鳥 成彦白鳥 (CoPI) & 田尻 慎太郎田尻 (CoPI)
1/04/17 → …
Project: Subsidies for on-campus educational facilities
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Development of educational service model for the purpose of preventing dropout in university
SHIRATORI, N. (CoPI), 白鳥 成彦白鳥 (CoPI), 悠史田島 (CoPI) & 田尻 慎太郎田尻 (CoPI)
1/04/15 → …
Project: Subsidies for on-campus educational facilities
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Comparative Analysis of Grade Distributions in Team-Taught Introductory Data Science Courses for First-Year Students
Tajiri, S., Takamatsu, K., Shiratori, N., Oishi, T., Mori, M. & Murota, M., 2025, Intelligent Sustainable Systems - Selected Papers of WorldS4 2024. Nagar, A., Jat, D. S., Mishra, D. & Joshi, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 247-258 12 p. (Lecture Notes in Networks and Systems; vol. 1177).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhancing University Sustainability Through Eduinformatics: A Collaborative Approach to Resolving Common Management Issues from a Macro Perspective
Sakai, T., Shiratori, N., Matsumoto, S., Akashi, K., Ito, H., Murakami, K., Takamatsu, K. & Iiyoshi, T., 2025, Intelligent Sustainable Systems - Selected Papers of WorldS4 2024. Nagar, A., Jat, D. S., Mishra, D. & Joshi, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 201-210 10 p. (Lecture Notes in Networks and Systems; vol. 1177).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhancing University Sustainability Through Eduinformatics: A Collaborative Approach to Resolving Common Management Issues from a Macro Perspective
Tomoyuki Sakai, Naruhiko Shiratori, Sayaka Matsumoto, Koichi Akashi, Hibiki Ito, Katsuhiko Murakami, Kunihiko Takamatsu, Toru Iiyoshi & SHIRATORI, N., 2025, In: Default journal. p. -Translated title of the contribution :Enhancing University Sustainability Through Eduinformatics: A Collaborative Approach to Resolving Common Management Issues from a Macro Perspective Research output: Contribution to journal › Article
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Lifelong Sustainable Inquiry-Based Community Learning (LSiCL) Based on Eduinformatics
Takamatsu, K., Matsumoto, S., Honda, N., Ishige, Y., Matsumoto, S., Kawasaki, H., Noda, I., Bannaka, K., Gozu, T., Murakami, K., Sakai, T., Kozaki, R., Kishida, A., Ito, H., Akashi, K., Hama, S., Prescott, G., Uchida, M., Nakamura, A. & Kozaki, Y. & 7 others, , 2025, Intelligent Sustainable Systems - Selected Papers of WorldS4 2024. Nagar, A., Jat, D. S., Mishra, D. & Joshi, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 415-424 10 p. (Lecture Notes in Networks and Systems; vol. 1178).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Modeling Class Intervention Impact on Absenteeism
Naruhiko Shiratori & SHIRATORI, N., Mar 2025, In: Companion Proceedings 15 th International Conference on Learning Analytics & Knowledge (LAK25). p. 266 - 268Research output: Contribution to journal › Article › peer-review
Press/Media
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Artificial intelligence helps Japanese companies seeking to reduce staff turnover
6/05/24
1 item of Media coverage
Press/Media
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Predictive Japanese AI Tool Forecasts Employee Turnover: Stay or Quit?
25/04/24
1 item of Media coverage
Press/Media
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