计算机学院学生学习成绩预测研究资讯科技(工商及科技局)

Paul Golding, S. McNamarah
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引用次数: 21

摘要

是什么决定了学习成绩?先前的研究表明,诸如天资(如SAT分数)、以前的学习成绩、努力和动机等标准化指标解释了课堂表现差异的重要部分。当美国大学决定录取哪些学生时,典型的标准包括SAT、ACT或其他成就分数和高中GPA。在牙买加科技大学的计算机与信息技术学院,主要的入学标准是在能力倾向测试中取得适当的分数,并通过至少五门加勒比考试委员会科目,包括数学和英语。本研究考察了学生的人口统计属性、入学资格、能力倾向测试分数、第一年课程的表现与他们在项目中的整体表现之间的关系。这项研究对学院的录取政策有影响。研究结果应该有助于我们确定一套最优的录取指标,这些指标有可能预测学生的表现
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting Academic Performance in the School of Computing & Information Technology (SCIT)
What determines academic performance? Prior research shows that standardized measures such as aptitude (e.g. SAT scores), prior academic performance, effort and motivation explain a significant portion of the variation in class performance. When universities in the United States determine which students to admit, typical criteria include SAT, ACT or other achievement scores and high school GPA. At the University of Technology, Jamaica in the School of Computing & Information Technology, the main admission criteria are appropriate score in an aptitude test and passes in at least five Caribbean Examination Council subjects including Mathematics and English. This study examines the relationship between students' demographic attributes, qualification on entry, aptitude test scores, performance in first year courses and their overall performance in the program. The study has implications for the School's admission policy. The results should help us to identify an optimal set of admission indicators, which have the potential of predicting students' performance
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