Tomohiro Nagashima

According to our database, Tomohiro Nagashima authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Parallel Design: Achieving both Researchers' and Practitioners' Goals in the Design of an Interactive Learning System.

Tomohiro Nagashima, Katharina Bonaventura, Man Su

Proceedings of the Symposium on Learning, Design and Technology, 2024

Guiding Children?s Choice Making in an Intelligent Tutoring System.

Helena Kilger, Man Su, Tomohiro Nagashima

Proceedings of the Symposium on Learning, Design and Technology, 2024

Empowering Learners: Chatbot-Mediated 'Learning-by-Teaching'.

Nihar Sabnis, Tomohiro Nagashima

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Participatory Design for Cognitive Science: Examples From the Learning Sciences and Human-Computer Interaction.

Jenny Yun-Chen Chan, Tomohiro Nagashima, Avery Harrison Closser

Cogn. Sci., October, 2023

A Spatiotemporal Analysis of Teacher Practices in Supporting Student Learning and Engagement in an AI-Enabled Classroom.

Shamya Karumbaiah, Conrad Borchers, Tianze Shou, Ann-Christin Falhs, Pinyang Liu, Tomohiro Nagashima, Nikol Rummel, Vincent Aleven

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Designing Playful Intelligent Tutoring Software to Support Engaging and Effective Algebra Learning.

Tomohiro Nagashima, John Britti, Xiran Wang, Bin Zheng, Violet Turri, Stephanie Tseng, Vincent Aleven

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Design a Dashboard for Secondary School Learners to Support Mastery Learning in a Gamified Learning Environment.

Xinying Hou, Tomohiro Nagashima, Vincent Aleven

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

A Dashboard to Support Teachers During Students' Self-paced AI-Supported Problem-Solving Practice.

Vincent Aleven, Jori Blankestijn, LuEttaMae Lawrence, Tomohiro Nagashima, Niels Taatgen

Proceedings of the Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, 2022

Self-Explanation of Worked Examples Integrated in an Intelligent Tutoring System Enhances Problem Solving and Efficiency in Algebra.

Nicholas Vest, Elena Silla, Anna N. Bartel, Tomohiro Nagashima, Vincent Aleven, Martha W. Alibali

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

How does Sustaining and Interleaving Visual Scaffolding Help Learners? A Classroom Study with an Intelligent Tutoring System.

Tomohiro Nagashima, Elizabeth Ling, Bin Zheng, Anna N. Bartel, Elena Silla, Nicholas Vest, Martha W. Alibali, Vincent Aleven

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Can Crowds Customize Instructional Materials with Minimal Expert Guidance?: Exploring Teacher-guided Crowdsourcing for Improving Hints in an AI-based Tutor.

Kexin Bella Yang, Tomohiro Nagashima, Junhui Yao, Joseph Jay Williams, Kenneth Holstein, Vincent Aleven

Proc. ACM Hum. Comput. Interact., 2021

A Framework to Guide Educational Technology Studies in the Evolving Classroom Research Environment.

Tomohiro Nagashima, Gautam Yadav, Vincent Aleven

Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021

Scaffolded Self-explanation with Visual Representations Promotes Efficient Learning in Early Algebra.

Tomohiro Nagashima, Anna N. Bartel, Stephanie Tseng, Nicholas Vest, Elena Silla, Martha W. Alibali, Vincent Aleven

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Pedagogical Affordance Analysis: Leveraging Teachers' Pedagogical Knowledge to Elicit Pedagogical Affordances and Constraints of Instructional Tools.

Tomohiro Nagashima, Kexin Bella Yang, Anna N. Bartel, Elena Silla, Nicholas Vest, Martha W. Alibali, Vincent Aleven

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Enhancing Conceptual Knowledge in Early Algebra Through Scaffolding Diagrammatic Self-explanation.

Tomohiro Nagashima, Anna N. Bartel, Elena Silla, Nicholas Vest, Martha W. Alibali, Vincent Aleven

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

Reasoning About Equations with Tape Diagrams: Do Differing Visual Features Matter?

Anna N. Bartel, Elena Silla, Nicholas Vest, Tomohiro Nagashima, Vincent Aleven, Martha W. Alibali

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2018

Contextualized Instruction in Data Science and its Effect on Transfer of Learning.

Tomohiro Nagashima

Proceedings of the 13th EC-TEL Doctoral Consortium co-located with 13th European Conference on Technology Enhanced Learning (EC-TEL 2018), 2018