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20212026
most citedData Science in an Agent-Based Simulation World

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2026

Automating Constructive Assessment with Large Language Models: Toward Scalable and Repeated Evaluation of Practical Competence

Satoshi Takahashi, Atsushi Yoshikawa, Megumi Kose +4

This study aimed to automate hierarchical diagnostic reasoning (HDR), a constructive method for evaluating practical judgment skills, by developing and testing an evaluation proces…

cs.CY2023★ 1 cited

Data Science in an Agent-Based Simulation World

Satoshi Takahashi, Atushi Yoshikawa

In data science education, the importance of learning to solve real-world problems has been argued. However, there are two issues with this approach: (1) it is very costly to prepa…

cs.MA2021★ 1 cited

School Virus Infection Simulator for Customizing School Schedules During COVID-19

Satoshi Takahashi, Masaki Kitazawa, Atsushi Yoshikawa

During the Coronavirus 2019 (the covid-19) pandemic, schools continuously strive to provide consistent education to their students. Teachers and education policymakers are seeking…

cs.CY2021

Extracting candidate factors affecting long-term trends of student abilities across subjects

Satoshi Takahashi, Hiroki Kuno, Atsushi Yoshikawa

Long-term student achievement data provide useful information to formulate the research question of what types of student skills would impact future trends across subjects. However…

cs.CY2021

PEAK SHIFT ESTIMATION A novel method to estimate ranking of selectively omitted examination data

Satoshi Takahashi, Masaki Kitazawa, Ryoma Aoki +1

In this paper, we focus on examination results when examinees selectively skip examinations, to compare the difficulty levels of these examinations. We call the resultant data 'sel…