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Nakamura Lab
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A lab that investigates how learners come to understand, using learning data.
AboutAbout the lab
Exploring the process of understanding through learning data
The Nakamura Lab analyzes data on learning behavior, such as learning data from STACK, an automated grading system for mathematical-expression answers, with the aim of understanding how learners come to understand.
The lab also analyzes note data and eye-tracking data recorded while learners solve problems.
The lab belongs to the Institute of Liberal Arts and Sciences, and carries out education and research in collaboration with the lab of the Multi-Degree-of-Freedom Systems Informatics Group, Department of Complex Systems Science, Graduate School of Informatics.
The lab hopes to be a place where faculty and students feel a sense of unity, like a family.
Key terms
- STACK
- A system that automatically grades questions answered with mathematical expressions. This lab analyzes its learning data.
- Eye-tracking data
- Data obtained by measuring where a person looks while solving a problem.
NewsLab news
View More ↗ResearchResearch themes
This lab aims to understand how learners come to understand by analyzing data on learning behavior. Its research covers learning data from STACK, an automated grading system for mathematical-expression answers, as well as note data and eye-tracking data.
View More ↗
MembersFaculty
The members of the Nakamura Lab are faculty, master's students, and undergraduate students.As of 2026
- ProfessorYasuyuki Nakamura
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Tabletunterricht 06” Aigner Ronja, Kohlmeier Michelle / CC0 (cropped)
- Data analysis of learning behavior: “Tobii Eye Tracker 1” InclusiveGameLab / CC BY-SA 4.0 (cropped)
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