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Academic and Demographic Cluster Analysis of Engineering Student Success
IEEE Transactions on Education ( IF 2.1 ) Pub Date : 2020-12-17 , DOI: 10.1109/te.2020.3036824
Farshid Marbouti , Jale Ulas , Ching-Ho Wang

Contribution: This article uses student semester grade point average (GPA) as a measure of student success to take into account the temporal effects in student success. The findings highlight the student performance based on their demographic status and use of university resources such as financial aid. College campuses should not only increase current resources but also raise awareness of current resources and make them more accessible (e.g., easier to apply or automatic applications). This is especially important for some demographics such as Hispanic first-generation students. Background: Higher education institutions are facing retention and graduation problems. One way to improve this is by understanding why students are not academically successful. Research Questions: In this study, demographic information and past academic records were analyzed to understand patterns of student success. Methodology: A cluster analysis was conducted to understand groups of students based on academic performance and demographic information. Examples of these factors are enrollment status, financial status, first-generation status, housing status, and transfer status. For the purpose of getting more accurate results, the students were separated into two different groups according to their admission status: 1) freshman and 2) transfer. Findings: The results indicate Hispanic, first-generation, low-income students are not likely to apply for financial aid although they are eligible. They have lower GPA and take fewer units per semester than other students. This can cause delayed graduation and accumulating more debt.

中文翻译:

工程学生成功的学术和人口聚类分析

贡献:本文使用学生学期平均绩点 (GPA) 作为学生成功的衡量标准,以考虑学生成功的时间影响。调查结果突出了基于学生人口状况和大学资源(如经济援助)使用情况的学生表现。大学校园不仅要增加现有资源,还要提高对现有资源的认识并使它们更容易获得(例如,更容易申请或自动申请)。这对于某些人口统计数据尤其重要,例如西班牙裔第一代学生。背景:高等教育机构正面临保留和毕业问题。改善这一点的一种方法是了解学生在学业上不成功的原因。研究问题:在这项研究中,对人口统计信息和过去的学业记录进行了分析,以了解学生成功的模式。 方法:进行了聚类分析,以根据学业成绩和人口统计信息了解学生群体。这些因素的示例包括入学状况、财务状况、第一代状况、住房状况和转移状况。为了得到更准确的结果,学生们根据他们的录取状态分为两个不同的组:1)大一和2)转学。结果:结果表明西班牙裔、第一代、低收入学生虽然符合条件,但不太可能申请经济援助。与其他学生相比,他们的 GPA 较低,每学期的学分也较少。这可能会导致延迟毕业并积累更多债务。
更新日期:2020-12-17
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