Nagashima Tomohiro

ナガシマトモヒロ | Nagashima Tomohiro

Affiliation and department：
Job title： Junior Professor
Homepage URL (1)： https://tomonag.org/

Research field (3)： Cognitive sciences , Human interfaces and interactions , Educational technology

Research keywords (5)： Cognitive Science , Intelligent Tutoring Systems , Human-Computer Interaction , Learning Sciences , Open Educational Resources

Research theme for competitive and other funds (3)：

2024 - 2026 Living “AI-ducation” dashboard
2023 - 2026 学習者視点によるAIを用いた学習の理解とデザイン
2015 - 2019 Development and assessment of methodology to improve learning materials and educational strategy based on learning data from MOOC

Papers (22)：

Jenny Yun-Chen Chan, Tomohiro Nagashima, Avery H. Closser. Participatory Design for Cognitive Science: Examples From the Learning Sciences and Human-Computer Interaction. Cognitive Science. 2023
Karumbaiah, S, Borchers, C, Shou, T, Falhs, A, Liu, C, Nagashima, T, Rummel, N, Aleven, V. A spatiotemporal analysis of teacher practices in supporting student learning and engagement in an AI-enabled classroom. 2023
Tomohiro Nagashima, Bin Zheng, Stephanie Tseng, Elizabeth Ling, Vincent Aleven. Promoting students’ self-regulated choices in learning with visual representations in intelligent tutoring software. 2023
Tomohiro Nagashima, Stephanie Tseng, Elizabeth Ling, Anna Bartel, Nicholas Vest, Elena Silla, Martha Alibali, Vincent Aleven. Students’ Self-Regulated Use of Diagrams in a Choice-based Intelligent Tutoring System. Proceedings of the Annual Meeting for the International Society of the Learning Sciences. 2022
Nicholas Vest, Elena Silla, Anna Bartel, Tomohiro Nagashima, Vincent Aleven, Martha Alibali. Self-Explanation of Worked Examples Integrated in an Intelligent Tutoring System Enhances Problem Solving and Efficiency in Algebra. Proceedings of the 44th Annual Meeting of the Cognitive Science Society. 2022. 3466-3472

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MISC (9)：

重田勝介, 武田俊之, 金子大輔, 八木秀文, 永嶋知紘. Development of a Moodle plugin for structuring and versioning OER. 情報処理学会研究報告(Web). 2021. 2021. CE-162
重田勝介, 武田俊之, 森秀樹, 八木秀文, 永嶋知紘, 金子大輔, 林康弘. 学習動機と目的指向性に基づいたオンライン講座におけるグループ単位での学習支援の取り組み. 情報処理学会研究報告(Web). 2019. 2019. CLE-28. Vol.2019-CLE-28,No.3,1-5 (WEB ONLY)
Persistence Decision Model for Learning in MOOC. 2018. 18. 1. 363-367
金子大輔, 小島一記, 重田勝介, 武田俊之, 森秀樹, 林康弘, 八木秀文, 永嶋知紘. MOOCを用いた教育実践を事後評価する際に用いる評価指標の提案-A Proposition of Evaluation Indicators for Post Assessment of Educational Practice with MOOC-新技術と教育情報を活用した教育学習環境の設計/一般. JSiSE研究会研究報告. 2018. 32. 5. 25-30
A Study on Visualization of Relationships between MOOC Resources and Learner's Behavior. 2017. 17. 5. 225-232

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Education (2)：

2017 - 2022 Carnegie Mellon University Human-Computer Interaction Institute
2016 - 2017 Stanford University Graduate School of Education Learning, Design, and Technology

Professional career (3)：

Ph.D. in Human-Computer Interaction (Carnegie Mellon University)
M.A. in Learning, Design, and Technology (Stanford University)
B.A. in Arts and Sciences (International Christian University)

Work history (7)：

2022/11 - 現在 Saarland University Junior Professor
2022/09 - 現在 Harvard University Berkman Klein Center Faculty Associate
2023/04 - 2024/03 Hokkaido University Institute for the Advancement of Graduate Education Visiting Professor
2022/09 - 2022/10 German Research Center for Artificial Intelligence Researcher
2017/08 - 2022/08 Carnegie Mellon University Human-Computer Interaction Institute Graduate Student Researcher

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Committee career (3)：

2023 - 現在 International Conference on Artificial Intelligence in Education Conference Program Committee
2023 - 現在 European Conference on Technology Enhanced Learning Workshop Chair
2021/08 - 現在 CIRCLS/ISLS Rapid Community Reports Editorial Board

Awards (9)：

2023/10 - Association for Educational Communications and Technology (AECT Robert M. Gagné Award for Graduate Student Research in Instructional Design
2021/07 - Carnegie Mellon University Presidential Fellowship
2021/06 - International Society of the Learning Sciences Best Design Paper Nominee
2020/12 - Global OER Graduate Network Fred Mulder Best Open Education Practice Award
2020/07 - Association for Educational Communications and Technology (AECT) Nova Southeastern Award for Outstanding Practice in Instructional Design

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Association Membership(s) (4)：

European Association for Research on Learning and Instruction , Association for Computing Machinery (ACM) , International Society of the Learning Sciences , Cognitive Science Society

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