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. My research has 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 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 available position) 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
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. [paper]
- 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). [paper]
- 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. [paper]
- Vest, N. A., Silla, E. M., Bartel, A. N., Nagashima, T., Aleven, V., & Alibali, M. W. (2022). Self-explanation of worked examples integrated in an Intelligent Tutoring System enhances problem solving and efficiency in algebra. In Proceedings of the 44th Annual Meeting of the Cognitive Science Society. Cognitive Science Society (pp. 3466-3472). [paper]
*Please see my CV for the most recent publication status