A Review of Agent-Based Simulation for University Students Admission

Abstract

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.