Research

Our research focuses on Human-Centered AI in the context of learning – specifically, how to co-design advanced systems that foster human agency and metacognition. As Learning Scientists and HCI researchers, we combine expertise in the learning sciences, design research, interaction design, and data-driven informatics to build systems that can be sustainably used in everyday practice, such as in schools.

AlgeSPACE Goal-Setting
Active
AlgeSPACE Goal-Setting
Funded by: Saarland University START Funding

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algespacechoicemakingSRL
Team
Dr. Man (Echo) Su
Samarth Joshi
Nina Quach
PD
Prof. Dr. Tomohiro Nagashima
Dr., Samarth, Nina, Prof., Prof.
Mindful Math Tutor
Active
Mindful Math Tutor

Math anxiety is a widespread issue that affects students’ emotional well-being and math learning. Yet, existing systems for math learning do not address the need […]

ITSemotion regulation
Team
Mirella Hladký
Vera Rief
Shintaro Sato
Minju Yoo
Stephanie Heel
Prof. Dr. Tomohiro Nagashima
Mirella, Vera, Shintaro, Minju, Stephanie, Prof.
Students’ and Teachers’ understanding of student-AI agency and control in the classroom
Active
Students’ and Teachers’ understanding of student-AI agency and control in the classroom
Funded by: JST (Japan Science and Technology Agency)

AI technologies have increasingly been integrated into school classrooms in many parts of the world. Yet, little is known about how we might ensure not […]

design researchagencyAI
Team
Prof. Dr. Tomohiro Nagashima
Mirella Hladky
Vera Rief
Saskia König
Samarth Joshi
Niklas Scholz
Lisa Siegrist
Martina Vincoli
Prof., Mirella, Vera, Saskia, Samarth, Niklas, Lisa, Martina
Active
Socratic Conversational AI Agent
Funded by: Saarland University START Funding / Alexander von Humboldt Foundation

AISRLcritical thinking
Team
Dr. Bingyi Han
Hendrik Akyol
LH
Prof. Dr. Tomohiro Nagashima
Dr., Hendrik, Linxin, Prof.
Gyaru*Mindful Math Learning
Active
Gyaru*Mindful Math Learning

Learning math can be challenging, boring, or perhaps scary. Traditional intelligent tutors offer cognitive support, but they don’t provide sufficient support that addresses students’ anxiety […]

algebraemotion regulation
Team
Mirella Hladký
Vera Rief
MI
Shintaro Sato
Prof. Dr. Tomohiro Nagashima
Mirella, Vera, Momoka, Shintaro, Prof.
Active
AlgeSPACE Personalized Agents

Many interactive learning environments provide scaffolding that asks students to perform certain metacognitive strategies during learning (e.g., self-explanation). While such interventions often lead to effective […]

algespaceadaptivitypedagogical agents
Team
DM
Helene Nuettgens
Katharina Bonaventura
Prof. Dr. Tomohiro Nagashima
Dr., Helene, Katharina, Prof.
Active
Flocking Dynamics Simulator

This project, titled “Flocking Dynamics,” is an educational and interactive simulation focused on teaching the concept of emergent phenomena through the behaviors of animal flocking, […]

agencysimulation
Team
DM
Amit Nair
Prof. Dr. Tomohiro Nagashima
Dr., Amit, Prof.
Active
Human-AI hybrid feedback giving with FeedbackTutor

ITSfeedback
Team
Shintaro Sato
Prof. Dr. Tomohiro Nagashima
Shintaro, Prof.
Fallible AI tutoring
Active
Fallible AI tutoring

Using LLMs for tutoring poses several critical risks — most notably, hallucinations. But what if we leverage the feeling of uncertainty around whether and how […]

SRLAI
Team
Sina Elahi Manesh
Dr. Bingyi Han
Prof. Dr. Tomohiro Nagashima
Sina, Dr., Prof.
Active
Promoting behavior change with learning analytics visualizations

behavior changeLA
Team
Meiyi Chen
Shiza Aman
PD
Prof. Dr. Tomohiro Nagashima
Meiyi, Shiza, Prof., Prof.
Completed
Supporting self-regulated choices in intelligent tutors
Funded by: NSF (National Science Foundation)

One important goal of instruction is to support students’ self-regulated choice making during learning. How might we support students’ strategic choice-making behaviors? In my dissertation, […]

choice-makingSRL
Team
Prof. Dr. Tomohiro Nagashima
PV
Prof., Prof.