nagashima[at]cs.uni-saarland.de

NEWS 🎉

(Mar 2024) We will be at the Tag der digitalen Bildung (The Digital Education Day) in Saarland!

(Feb 2024) We have launched AlgeSPACE – a collection of free interactive exercises for teaching and learning how to solve systems of equations.

(Oct 2023) New grant (with Sarah Malone) on co-designing a learning dashboard on AI in Education with university students at Saarland.

(Sep 2023) Won the PRESTO (“Sakigake”) grant! (€300K) We will work on participatory design research with school students and teachers in Germany and Japan to design an intelligent system with a focus on student agency.

(Aug 2023) Echo has joined the lab as a postdoc from ASU! Learn more about her.

(Apr 2023) Starting a new role as a Visiting Professor at Hokkaido University in Japan!

(Mar 2023) Gave a talk at CAIS in Bochum

(Feb 2023) Gave a talk at ETH Zürich (FLI Colloquia)

(Dec 2022) Launched the “Future+Learning” working group with Lis Sylvan and Sandra Cortesi @BKC Harvard

(Nov 2022) Moved to Germany to start my TT position at Saarland University!

(June 2021) Our ISLS paper was nominated for Best Design Paper!

(April 2021) We were at the ED Games Expo! Here’s our entry.

(Dec 2020) Won the Fred Mulder Open Education Practice Award!

(Nov 2020) Gave a talk at Keio Univ.

(Nov 2020) Won an AECT award!

(Nov 2020) Presented at OpenEd20

(Oct 2020) Made a tape diagram template (available under CC-BY-NC)

I am a tenure-track Junior (=Assistant) Professor of Technology-Enhanced Learning in the Department of Computer Science at Saarland University in Germany. I am also a Faculty Associate at Harvard University’s Berkman Klein Center for Internet & Society and Visiting Professor at Hokkaido University’s Institute for the Advancement of Higher Education.

I am a learning scientist who works with education stakeholders to support meaningful human learning activities with technologies. I co-design intelligent technologies and novel learning strategies with educators and learners, and conduct school-based experimental studies to understand and support human learning. I have explored topics such as:

  • Co-designing novel interaction strategies with teachers to help children reason with, and learn from, visual representations in an intelligent system
  • Supporting learners’ self-regulated choice-making behaviors in an intelligent system
  • Understanding children’s perception and preferences on learning with AI
  • Designing an educational game to support engaging and effective learning in math

I received my Ph.D. in Human-Computer Interaction from Carnegie Mellon University’s HCI Institute in the US in 2022, working with Dr. Vincent Aleven. Prior to attending CMU, I completed my Master’s degree in Learning, Design, and Technology at Stanford Graduate School of Education, working with Dr. Candace Thille.

I am also an activist working in the area of open education as a member of Creative Commons Japan and as an OER Research Fellow at Open Education Group.

I’m always looking for research assistants (currently no position available) and thesis students to join my new group! If interested, please reach out to me via email (with your CV, recent transcript, and a brief description of your research interests and relevant experiences).  If you are interested in doing a doctoral study in the lab, please visit our Graduate School to learn about the structure/requirements and then contact me!

Research

Choice making with visual scaffold
Supporting conceptual learning in math
Screenshot 2023-06-16 at 14.00.34
Children's understanding of AI

Recent Publications

  • Nagashima, T., Zheng, B., Tseng, S., Ling, E., & Aleven, V. (2023). Promoting students’ self-regulated choices in learning with visual representations in intelligent tutoring software. In Proceedings of the Annual Meeting for the International Society of the Learning Sciences (ISLS2023), Montreal, Canada. [pdf]
  • Chan, J. Y.-C., Nagashima, T., & Closser, A. H. (2023). Participatory design for Cognitive Science: Examples from the Learning Sciences and Human-Computer Interaction. Cognitive Science, 47(10). [link]
  • Nagashima, T., Britti, J., Wang, X., Zheng, B., Turri, V., Tseng, S., & Aleven, V. (2022). Designing playful intelligent tutoring software to support engaging and effective algebra learning. In Proceedings of the 17th European Conference on Technology Enhanced Learning (EC-TEL2022). [link]
  • Nagashima, T., Ling, E., Zheng, B., Bartel, A. N., Silla, E. M., Vest, N. A., Alibali, M. W., & Aleven, V. (2022). How does sustaining and interleaving visual scaffolding help learners? A classroom study with an Intelligent Tutoring System. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society (CogSci2022). Cognitive Science Society. [link]

*Please see my CV for the most recent publication status