JSAI2023

Presentation information

General Session

General Session » GS-5 Agents

[2F5-GS-5] Agents

Wed. Jun 7, 2023 3:30 PM - 5:10 PM Room F (A3)

座長:伊藤 孝行(京都大学)[現地]

4:10 PM - 4:30 PM

[2F5-GS-5-03] Increasing Method of University Enrollment Across Regions by Adjusting Enrollment Quotas and Scholarship

〇Keisuke Hinode1, Masaki Kitazawa1,2, Satoshi Takahashi3, Atsushi Yoshikawa1,4 (1. Rikkyo University, 2. Kitazawa Tech, 3. Kanto Gakuin University, 4. Tokyo Institute of Technology)

Keywords:Agent-based modeling, Social simulation, University entrance examination

This study aims to explore effective methods for promoting university enrollment in regional areas by adjusting enrollment quotas and introducing new scholarships in university entrance exams. Despite attempts to limit university enrollment in urban areas, enrollment remains concentrated in these regions, so it is necessary to implement additional measures.To address this issue, we propose offering new scholarships targeted at urban students to encourage enrollment in regional universities. To evaluate the potential impact of these measures, we employ agent-based simulation to simulate university entrance exams and estimate the effects of quota distribution and scholarship allocation on the number of regional students. Our findings indicate that while the new scholarship alone has limited impact on regional enrollment, when combined with preferential quota allocation for regional universities, it leads to an increase in enrollment in regional core cities.

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