Designing compound interest.

Operationalising theories of human learning to support transferable problem-solving.

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About the lab

Designing Compound Interest in Problem-Solving

Solutions and knowledge gained through solving one problem connect naturally, gradually spreading so they can be used anywhere. Technologies and design knowledge created for one purpose come alive naturally in other fields. Problem-Solving Intelligence Lab (PSI Lab / Koike Lab) aims to create a world where such “compound interest in problem-solving1” works for everyone.

With the interdisciplinary research field2 called “Intelligent Tutoring Systems (ITS)” as a background, which brings together insights from AI, cognitive science, and related disciplines, we conduct research to support “compound interest in problem-solving.”

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  1. “Compound interest” is originally a financial term referring to a mechanism where “interest accrues on the interest, leading to exponential growth.” We use this metaphor for learning, imagining that problem-solving experiences and acquired knowledge help with the next problem-solving, and the more experience you accumulate, the more you can do. ↩︎

  2. “Interdisciplinary” refers to a research field that combines multiple disciplines. ↩︎

Research projects

One question,
4 projects.

How do skills and concepts carry across problems? Our projects address it from different angles.

Knowledge Transfer

CHUNK.

Making what you learn usable in new situations—research on accumulating compound interest.

Learning from Errors

CLOVER.

Leveraging the information in mistakes to correct gaps in understanding.

Adaptive Learning

OCEAN.

Designing personalized learning paths to maximize the effect of compound interest.

Sharing Design Knowledge

CCS.

Building a common framework for reusing learning support knowledge across domains.

Publications

  • 9 Awards
  • 18 Academic Papers
  • 29 International Talks
  • 122 Domestic Talks
See all publications

Lab content

Reading from the lab, freely available.

Guides to university life, lecture notes, how to start research, and an overview of educational AI — writing from the lab, open to everyone.

JOIN THE LAB

Join our
research.

We're recruiting undergraduates, graduate students, collaborators, and staff. We welcome people interested in working across disciplines.

How to join