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  1. 齊藤 光志, 峰松 翼, 島田 敬士. (2026, March). 農業実習における学習者の作業誤り検知手法の検討. 第106回 先進的学習科学と工学研究会(SIG-ALST).
  2. 山口 寛太, 峰松 翼. (2026, March). 多肢選択問題解答正誤推定のための遺伝的アルゴリズムによる推論根拠の最適化. 第106回 先進的学習科学と工学研究会(SIG-ALST).
  3. 荒木 直也, 峰松 翼, 島田 敬士. (2026, March). 一人称視点映像に基づく農業実習の作業分類における教師評価事例反映RAG. 第106回 先進的学習科学と工学研究会(SIG-ALST).
  4. Liu, H., Minematsu, T., Yin, C., Xiong, S., & Shimada, A. (2025, December 1). Exploring the Relationship Between System Operation Behaviors and Learning Achievement in Agricultural Education. International Conference on Computers in Education.
  5. Liu, H., Shimada, A., Minematsu, T., & Yin, C. (2025). Building a scaffolding framework with field environment digest system in high school agricultural education. Interactive Learning Environments, 1–18.
  6. Saito, K., Minematsu, T., & Shimada, A. (2025). Estimating Learners’ Position and Work Time for Teaching Reflection in Agricultural Training. In C. Wallraven, R. He, B. Lovell, & P. Chakraborty (Eds), Asian Conference on Pattern Recognition 2025
  7. Liu, H., Minematsu, T., Yin, C., Liu, S., Xiong, S., & Shimada, A. (2025, September 5). Integrating Scaffolding Strategies with Environmental Monitoring Systems to Enhance Learning and Practical Skills in Agricultural Education. International Conference on Learning Evidence and Analytics.
  8. Minematsu, T., & Shimada, A. (2025). Note-Driven RAG for Learner Performance Estimation via Controlling LLM Knowledge. AIED2025, 348–355.
  9. Hernández-Leo, D., Theophilou, E., Oshima, J., Minematsu, T., Matsueda, K., Naganuma, S., Cress, U., Chen, B., Zhu, X., del Castillo, F. D., Chen, W., Lyu, Q., Chen, X., Zheng, L., & Weinberger, A. (2025, June). Collaborating with Generative AI for Learning? International Society of the Learning Sciences.
  10. Naganuma, S., Minematsu, T., Matsueda, K., & Oshima, J. (2025, June). Generative AI-Supported Collaboration in Interdisciplinary Research Practice. International Society of the Learning Sciences.
  11. Naganuma, S., Minematsu, T., Shibukawa, S., Ohno, A., & Wakihama, Y. (2025). Exploring Students’ Generative AI Usage Patterns and Knowledge Creation in Collaborative Problem Solving., Artificial Intelligence in Education. Posters and Late Breaking Results