Learning the essence of data science
through a world built for exploration.

Data science education often lacks the kinds of experiences it truly requires.

Observing phenomena, interpreting data, analyzing it, generating ideas,

testing those ideas, and examining the results—

this full sequence of experience has become difficult to obtain in real environments.

As a result, learners may encounter fragments of knowledge,

but struggle to experience and connect the entire flow of thinking.

Keywords

But what if learners could observe, interpret, and test their ideas not in the real world,

but safely inside a world that has been deliberately constructed?

How much deeper might their understanding of data science become?

By using data generated within a virtual world, we are creating a new way of learning—

one that allows learners to move seamlessly from analysis to intervention to evaluation within a single, coherent environment.

Publication

S. Takahashi and A. Yoshikawa, "Data Science in an Agent-Based Simulation World," 2023 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), Auckland, New Zealand, 2023, pp. 1-6, doi: 10.1109/TALE56641.2023.10398326.

Funding

KAKENHI (Grant-in-Aid for Scientific Research (C)), 25K06648, 2025–2028. Data Science Teaching Materials for Virtual Worlds Using Manga Cases and Agent-Based Simulation. PI: Satoshi Takahashi. Co-Investigators: Keiko Yamaguchi, Atsushi Yoshikawa, Takemasa Kikuchi. JSPS.
KAKENHI (Early-Career Scientists), 22K13785, 2022–2025. Development of an Assessment Method for Situation Awareness Skills Using Short Cases. PI: Satoshi Takahashi. JSPS.
KAKENHI (Early-Career Scientists), 18K13243, 2018–2022. Development of a Knowledge-Application Learning Method through Short-Case Writing. PI: Satoshi Takahashi. JSPS.
KAKENHI (Research Activity Start-up), 16H07225, 2016–2017. Development of a Task-Design Method for Manga Case Materials as Introductory Materials for PBL. PI: Satoshi Takahashi. JSPS.

Lead Researcher

Satoshi Takahashi

Associate Professor
Graduate School of Economics, Nagoya University

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Learning the essence of data sciencethrough a world built for exploration.