Research Work

★ Yamauchi, T., Nakamoto, R., Flanagan, B., Dai, Y., Wijerathne, I., & Ogata, H. (2025). Augmentation of learning content with knowledge components: Automatic unit labeling for various forms of Japanese math materials. IEEE Transactions on Learning Technologies, 18, 716-731. doi: https://doi.org/10.1109/TLT.2025.3584038  1️⃣🈶

★ Yamauchi, T., Flanagan, B., Nakamoto, R., Dai, Y., Takami, K., & Ogata, H. (2023). Automated labeling of PDF mathematical exercises with word N-grams VSM classification. Smart Learning Environments, 10(1). doi: https://doi.org/10.1186/s40561-023-00271-9 1️⃣🈶 

Nakamoto, R., Flanagan, B., Dai, Y., Yamauchi, T., Takami, K., & Ogata, H. (2025). Integrating self-explanation and operational data for impasse detection in mathematical learning. Research and Practice in Technology Enhanced Learning. https://doi.org/10.58459/rptel.2025.20019 🈶

Ogata, H., Liang, C., Toyokawa, Y., Hsu, C-Y., Nakamura, K., Yamauchi, T., Flanagan, B., Dai, Y., Takami, K., Horikoshi, I., & Majumdar, R. (2024). Co-designing data-driven educational technology and practice reflections from the Japanese context. Technology, Knowledge and Learning.  https://doi.org/10.1007/s10758-024-09759-w 🈶

Flanagan, B., Tian, Z., Yamauchi, T., Dai, Y., & Ogata, H. (2024). A human-in-the-loop system for labeling knowledge components in Japanese mathematics exercises. Research and Practice in Technology Enhanced Learning, 19, 28. doi: https://doi.org/10.58459/rptel.2024.19028 🈶

Nakamoto, R., Flanagan, B., Dai, Y., Yamauchi, T., Takami, K., & Ogata, H. (2023). Enhancing self-explanation learning through a real-time feedback system: An empirical evaluation study. Sustainability, 15(21), 15577. doi: https://doi.org/10.3390/su152115577 🈶

Nakamoto, R., Flanagan, B., Yamauchi, T., Dai, Y., Takami, K., & Ogata, H. (2023). Enhancing automated scoring of math self-explanation quality using LLM-generated datasets: A semi-supervised approach. Computers, 12(11), 217. doi: https://doi.org/10.3390/computers12110217 🈶

★ Yamauchi, T., Flanagan, B., Dai, Y., Kita, T., & Ogata, H. (2025). A Rubric-based LLM Automatic Grading of Mathematical Reasoning in Self-explained Answers. in 1st International Conference on Learning Evidence and Analytics. [Manuscript] [Presentation Slides] 1️⃣🈶

★ Yamauchi, T., Hoppe, U.H., Dai, Y., Flanagan, B., & Ogata, H. (2024). Representing learning progression of unguided exercise solving: A generalization of wheel-spinning detection. in 32nd International Conference on Computers in Education, 1, 686-695. [Nomination of Best Overall Paper] 1️⃣🈶 [Manuscript] [Presentation Slides]

★ Yamauchi, T., Nakamoto, R., Dai, Y., Takami, K., Flanagan, B., & Ogata, H. (2023). Improved automated labeling of mathematical exercises in Japanese. in 31st International Conference on Computers in Education, 1, 78-87. 1️⃣🈶 [Manuscript] [Presentation Slides]

★ Yamauchi, T., Nakamizo, Y., Takami, K., Majumdar, R., & Ogata, H. (2023). Matching intervention messages considering complex personality types of high school students. in 31st International Conference on Computers in Education, 1, 901-906. 1️⃣🈶 [Manuscript] [Presentation Slides]

★ Yamauchi, T., Flanagan, B., & Ogata, H. (2025). LLM-enhanced math text extracting and keyword-based hierarchical labeling for digital learning infrastructure. 33rd International Conference on Computers in Education. 1️⃣🈶

★ 山内大聖. (2025). 生成AI活用で次世代数学教育へ〜教育現場における教育データ利活用の壁とその乗り越え方〜. エビデンス駆動型教育研究協議会 [Presentation Slides (in Japanese)] 1️⃣ 

★ 山内大聖. (2024). 次世代数学教育に向けて〜生成AIが作る個別最適なテスト〜 . 大学院教育支援機構奨励研究員およびフェローシップ受給者によるポスター発表会・研究交流会(ポスター発表、京都大学) 1️⃣ [Poster (in Japanese)]

堀越泉, 加納泰斗, 山内大聖, 奥村光貴, 許嘉瑜, 西岡千文, 緒方広明. (2024). SHARE:エビデンスに基づく教育の実現に向けた試行版データ利活用事例共有ポータルの評価. 第42回CLE研究会. [Manuscript (in Japanese)]

★ Yamauchi, T., Takami, K., Flanagan, B., & Ogata, H. (2022). Nudge messages for e-learning engagement and student’s personality traits: Effects and implication for personalization. 30th International Conference on Computers in Education, 2, 42-50. 1️⃣🈶 [Manuscript] [Presentation Sledes]