基于agent的大学生录取仿真研究综述

Suha Khalil Assayed, P. Maheshwari
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引用次数: 0

摘要

影响高校选择和录取行为的因素多种多样。大多数研究集中在学术和社会经济因素上;学业因素包括高中GPA、SAT、入学考试等。另一方面,社会经济因素可能是家庭收入和第一代学生,这意味着父母没有完成学士学位。然而,一些大学的录取政策不重视种族或少数民族,即使他们中的一些人可能来自低收入的学生,他们无法负担任何入学考试,他们可能会失去进入他们喜欢的大学的机会。因此,大部分大学都希望建立既包括弱势学生,也包括其他高分学生的公平录取制度。因此,通过使用基于代理的模型来模拟真实世界的系统,考虑了其他复杂的因素和领域,已经开发了一些模拟。本文旨在回顾世界上几所国际大学和学院的不同招生办公室部署的几种基于agent的模型,并根据模拟的主要贡献包括教育程度和大学选择行为进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Agent-Based Simulation for University Students Admission
Multiple factors influence college selection and admission behaviors. Most researchers focused on the academic and socioeconomic factors; the academic factors are high school GPA, SAT, admission tests, etc. On the other hand, the socioeconomic factors could be family income and first-generation students, which means parents did not complete their bachelor's degrees. However, some universities admission policies do not pay any attention to the race or to the minorities even though some of them might be from the lowincome students which could not afford any admission tests, and they might lose their chance to get admitted into their preferred universities. Therefore, most universities want a fairness admission system that include both the disadvantaged students along with other high-score achievement students. Thus, several simulations have been developed by using the agent-based models in order to simulate a real world system by considering other factors and domains that are varied in the complexities. This paper aimed to review several Agent-Based Models that are deployed by different admission offices from several international universities and colleges around the world, which is classified based on the main contribution of the simulations including the level of educational attainment as well as the universities selection behaviors.
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