Kashihara Lab

AboutAbout the lab

Amplifying human intelligence with technology that supports learning.

The Kashihara Lab takes on the question of how to support human learning from the perspectives of both the learning sciences and learning engineering.
Learning engineering is a field that establishes methodologies and foundational technologies for making learning processes concrete and activating them.
Holding that "building learning models is the essence of e-learning research," the lab develops learning support systems based on learning models.
With the slogan of amplifying human intelligence, the lab uses advanced technologies as its core to research and develop software technologies for intelligence amplification.

ResearchResearch themes

From the perspectives of both the learning sciences and learning engineering, the Kashihara Lab holds that "building learning models is the essence of e-learning research" and aims to realize advanced e-learning. Focusing on three areas, namely the design of learning models, learning together with partner robots, and metacognition in learning, the lab works to create new learning and educational environments.

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Designing Learning Models↗

The lab designs ideal learning processes as models and develops learning support systems based on them. Examples include support for promoting self-directed and critical learning in information inquiry, and the development of a disaster response learning model for public health nurses in local government.

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Learning Together with Robots↗

The lab uses social robots, which are "treated as if they were human," as partners who stay close to learners. By designing the robots' emotional expressions and behavior, it aims to draw out learners' interest and concentration in lectures and their engagement in English conversation.

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Metacognition for Reflecting on Learning↗

Taking reflection in learning as its subject, this research models the process of metacognition and promotes learning by having learners take a fresh look at themselves. The lab designs support that encourages insight, using driving simulation and shogi games as task situations.

VoicesStudent voices

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Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.