"Toshiki Matsuda,Kentaro Nagahara","A Backward Design Checklist for PBL Lessons to Help Development and Utilization of Gaming Instructional Materials","Innovate Learning Summit 2021","Proceedings of the Innovate Learning Summit 2021","Association for the Advancement of Computing in Education (AACE)",,,"pp. 438-445",2021,Nov.
"永原 健大郎","理数探究の課題例と理数探究基礎で指導すべき内容の検討","日本教育工学会2021年秋季全国大会","日本教育工学会2021年秋季全国大会講演論文集","日本教育工学会",,,"pp. 393-394",2021,Oct.
"Kentaro Nagahara,Toshiki Matsuda","Designing Problem-Based Learning Activities of Mathematics to Develop Gaming Instructional Materials based on the New Backward Design Method","EdMedia + Innovate Learning 2021","Proceedings of the EdMedia + Innovate Learning 2021","Association for the Advancement of Computing in Education (AACE)",,,"pp. 502-507",2021,July
"永原健大郎,松田稔樹","新逆向き設計に基づく中学校数学課題学習のテーマ検討","日本教育工学会研究会","日本教育工学会研究会報告集","日本教育工学会","  JSET21","  2","pp. 86-93",2021,July
"永原健大郎,松田稔樹","逆向き設計に基づく高校数学「課題学習」の課題設定とゲーミング教材の検討","日本シミュレーション＆ゲーミング学会 春期全国大会","日本シミュレーション＆ゲーミング学会 全国大会報告集","日本シミュレーション＆ゲーミング学会",,"  2021年春号","pp. 34-39",2021,May
"永原健大郎","ロジスティック成長を伴うマルチパッチモデルにおける総個体数の最大化","RIMS 共同研究（グループ型）非線形問題への常微分方程式の手法によるアプローチ",,,,,"pp. 1-4",2021,Mar.
"永原健大郎,松田稔樹","オンライン教育実習を通じた数学用e-learning教材の開発とその効果?大学と学校現場とのより密接な連携の可能性を探って",,"Informatio","江戸川大学情報教育研究所","Vol. 18",,"pp. 41-50",2021,Mar.
"永原健大郎","Maximization of the total population with logistic growth","第22回北東数学解析研究会",,,,,,2021,Feb.
"Kentaro Nagahara,Yuan Lou,Eiji Yanagida","Maximizing the total population with logistic growth in a patchy environment",,"Journal of Mathematical Biology","Springer","Vol. 82","No. 2",,2021,Jan.
"永原健大郎,卯花竜也","数学における専門分野との連携を意識した教材開発と教育効果",,"東京工業大学附属科学技術高等学校 研究報告",,,"No. 15","pp. 55--64",2021,