Kento Koike

Overview

Kento Koike, Ph.D.

Affiliation: Assistant Professor, Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science (Akakura Lab)

I am a researcher working in artificial intelligence, particularly in intelligent informatics and behavioral informatics, with a focus on educational applications. More specifically, my research centers on the development of Intelligent Tutoring Systems (ITSs)—that is, learning support systems capable of highly intelligent behavior. Based on the integration of knowledge engineering, cognitive science, and behavioral science, I am pursuing a new, integrative research approach that extends traditional ITSs, which I position as a “Data-enhanced Symbolic and Cognitive Tutoring Systems.”

Through my experiences at the Academic Center for Computing and Media Studies (Ogata Lab), Kyoto University, and practical work at the education company manabo, I have gained experience in both academic theory and the practical needs of real learners. I am currently also a Collaborative Researcher at the Research Liaison Centre, Chiba Institute of Technology.

In short, my research purpose is to develop intelligent learning systems that optimize human thinking and learning. One of my key concepts is bridging through intermediate representations. Current learning systems are often fragmented—technologies for supporting mathematics cannot be directly used for programming education (fragmentation of domains), and skills developed in programming are hard to apply to writing (fragmentation of learning).

To address these issues, I am designing and implementing intermediate representation models that act as a kind of “learning translator” to connect knowledge and thinking processes across domains. This approach enables flexible and adaptive support that dynamically adjusts to individual learners and contexts.

Ultimately, my goal is to create learning environments where the thinking skills cultivated in one domain can be naturally transferred to others—realizing human-centered, enriched learning experiences suitable for the AI era.

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