| 辻 俊喜 |
【学会発表(国際会議)】
- Toshiki Tsuji, Tomohiro Hayashida, Kento Tsutsumi, Shin Wakitani, Takuya Kinoshita, Shinya Sekizaki, "Learner prediction using a multi-stage machine learning model and analysis of learner characteristics with SHAP values," Proceedings of the IEEE Global Engineering Education Conference (EDUCON 2026), (to appear), Cairo, Egypt, (2026).
- Toshiki Tsuji, Tomohiro Hayashida, Kento Tsutsumi, Shin Wakitani, Takuya Kinoshita, Shinya Sekizaki, "Multi-stage machine learning model for classification and prediction of learners," Proceedings of 2025 IEEE 14th International Workshop on Computational Intelligence and Applications (IWCIA2025), pp. 58-65, November 6th-7th, Hiroshima, Japan, (2025). |
【学会発表(国内)】
- 辻 俊喜, "個別最適なまなびの実現のための多段階機械学習モデルを用いた学習者予測と学習特性の分析," 第2回広島情報・データ科学学生研究交流会 (2026).
- 辻 俊喜, "多段階機械学習モデルを用いた学習者分類及び予測手法の提案," 第１回広島情報・データ科学学生研究交流会 (2025).
- 辻 俊喜, 林田 智弘, 脇谷 伸, 堤 健人, 木下 拓矢, 関崎 真也, “多段階機械学習モデルを用いた学習者分類及び予測手法の提案およびSHAP値に基づく主要要因分析に関する一考察, " 2025年第1回CSPL (Cyber-physical System for Proactive Learning) 研究会, (2025).
- 辻 俊喜, 林田 智弘, 関崎 真也, 堤健人, 脇谷 伸, 木下 拓矢, “多段階機械学習モデルを用いた学習者分類および予測手法の提案, " 2025 IEEE SMC Hiroshima Chapter 若手研究会講演論文集, pp. 16-18, (2025).
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【受賞】
- IEEE SMC Hiroshima Chapter Presentation Award (2026),
Toshiki Tsuji, Tomohiro Hayashida, Kento Tsutsumi, Shin Wakitani, Takuya Kinoshita, Shinya Sekizaki, "Multi-stage machine learning model for classification and prediction of learners," Proceedings of 2025 IEEE 14th International Workshop on Computational Intelligence and Applications (IWCIA2025), pp. 58-65, November 6th-7th, Hiroshima, Japan, (2025).
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