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Kurita-Hachisuka Lab
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The lab uncovers how learning works and creates new ways of learning and teaching.
AboutAbout the lab
Realizing an inclusive society through understanding learning
The Endowed Chair for the Creation of Innovative Learning studies how human "learning" works and develops new ways of learning and teaching.
Aiming for an inclusive society where everyone can thrive, it explores methodologies for developing diverse people and ways of sharing how to learn.
It brings together methods for measuring people's physiological and psychological states, effective ways of giving people feedback, and multifaceted assessment methods into systems that support learning.
Combining insights from ergonomics, education, and human interface research with technologies such as signal processing, AI, and XR, it conducts its research in collaboration with Nagase Co., Ltd.
Key terms
- Inclusive
- Allowing everyone to participate without being excluded, regardless of differences in age, disability, nationality, and so on
- Human interface
- The point of contact between people and machines or computers; a field concerned with designing interaction that is easy to use and understand
- Learning sciences
- A discipline that investigates how people learn, using methods from psychology, education, information science, and other fields
NewsLab news
A doctoral student received the Excellence Award (Research Category) in the awards program of the Japan Society for Practical Education
A doctoral student received the Best Student Paper Award at ICIET 2026
Lecturer Hachisuka received the Best Position Paper Award at ABC 2026
Lecturer Hachisuka received the Research Group Award from the Human Interface Society
A paper by a doctoral student was published in the Transactions of the Human Interface Society
ResearchResearch themes
The lab aims to elucidate the mechanisms of human "learning" and establish the methodologies needed to develop diverse talent. It studies human-centered learning systems that combine sensing of people's physiological and psychological states, feedback, and multifaceted assessment.
*Illustrative imageMeasuring facial expressions
Facial expressions are measured by detecting feature points in facial images captured with a webcam. This is used to understand learners' internal states, such as how focused and motivated they are and how much they are enjoying learning.
*Illustrative imageEstimating emotions from facial expressions
Facial feature points are analyzed with machine learning to estimate basic emotions such as anger, joy, and surprise, as well as a neutral state. The aim is to clarify which emotions arise during learning and under which emotions learning outcomes improve.
*Illustrative imageExploring how to create learning environments
The lab explores class design and environment creation that lead to good learning. It examines the effects of group work, personalized learning methods, and the way instructors present material, using questionnaire surveys and learning behavior data.
*Illustrative imageExploring teaching methods based on learning science
Training programs for people who create "good learning environments" are developed based on findings from learning sciences, psychology, and education. Their effects are measured, and they are carried through to implementation.
MembersFaculty
The Endowed Chair for the Creation of Innovative Learning consists of faculty members, secretaries, technical staff, and doctoral and master's students.As of 2026
- Professor (Concurrent)Kayoko KuritaPublications ↗
- Lecturer (Concurrent Appointment)Satori HachisukaPublications ↗
- Professor割澤 伸一
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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: “Students with Special Needs in an Egyptian Classroom” Loaizedan8 / CC BY-SA 4.0 (cropped)
- Measuring facial expressions: “Dlib-face landmark detection” MTheiler / CC BY-SA 4.0 (cropped)
- Estimating emotions from facial expressions: “Consulta 2014 sobre como fortalecer a Wikimedia no Brasil, São Paulo 13” Wilfredor / CC0 (cropped)
- Exploring how to create learning environments: “Technology-enhanced active learning (classroom)” Derek Moore / CC BY 2.0 (cropped)
- Exploring teaching methods based on learning science: “Teachers in Wikipedia Workshop Rajshahi 01” Nahid.rajbd / CC BY-SA 4.0 (cropped)
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