🎉 NEWS 🎉

(May 2024) Our lab’s work will be presented/published at CHI, ISLS, CogSci, IDC (LDT), and EARLI SIG16 conferences! See Publications for more info.

(April 2024) AlgeSPACE project on SIC news and university news

(Mar 2024) Our lab will offer two new seminars in SS2024 – check them out here.

(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.

I am a learning scientist working 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 and qualitative 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 for 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 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 (and have a CS background), please visit our Graduate School to learn about the structure/requirements and then contact me (You have no CS background? Please also reach out to me).


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., Bonaventura, K., & Su, M. (2024). Parallel design: Achieving both researchers’ and practitioners’ goals in the design of an interactive learning system for mathematics. In Proceedings of the Learning, Design and Technology (LDT ’24), Delft, Netherlands. ACM.
  • Kilger, H., Su, M., & Nagashima, T. (2024). Guiding children’s choice making in an Intelligent Tutoring System. In Proceedings of the Learning, Design and Technology (LDT ’24), Delft, Netherlands. ACM.
  • Sato, S., Platz, M., & Nagashima, T. (2024). Which leads to more effective learning in intelligent tutoring software, effort-based or performance-based feedback? In Proceedings of the 64th Annual Meeting of the Cognitive Science Society, Rotterdam, Netherlands. Cognitive Science Society. [link]
  • Su, M., Chi, M. T., Nagashima, T., Gole, J., Xin, Y., & Ha, J. (2024). Exploration of cognitive engagement patterns in online environments with multiple external representations. In Proceedings of the Annual Meeting for the International Society of the Learning Sciences (ISLS2024), Buffalo, NY. [link]
  • Sabnis, N. & Nagashima, T. (2024). Empowering learners: Chatbot-mediated learning-by-teaching. In Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI EA’24), Honolulu, Hawaii  [link]
  • 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]