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Understanding the Connection between High School Exit Exams and College Performance

机译:了解高中毕业考试和大学成绩之间的联系

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摘要

This study examines the messages and accuracy of the messages sent to students from the Arizona Instrument to Measure Standards (AIMS) math test regarding academic preparedness for postsecondary education. Previous studies investigating messages sent to students, derived from information such as educational standards, grades, course taking policies, test material, and college admissions requirements, focused on content alignment of secondary and postsecondary content standards. However, a dearth of research exists on messages from high school performance, as measured by exit exams and college performance measured by grades, major selection, or graduation. This study addresses the need to understand and interpret messages students receive based on academic performance. Specifically, this study aims to answer three questions. First, what is the relationship between AIMS math scores and college math performance defined by the University of Arizona math requirement and college graduation? Second, to what degree do AIMS math scores predict college math performance? Third, what is the average AIMS math score and performance level for students who choose certain majors? To answer the research questions posed in this study, various statistical analyses were employed. To answer the first question, a one-way ANOVA and logistic regression analyses were used. A linear regression analysis served to analyze the second and third questions. Results indicate that the messages sent to students regarding college readiness are, in fact, well aligned and clear and consistent. Also, there is evidence that the messages vary by gender and ethnicity.
机译:这项研究检查了从亚利桑那州计量标准仪器(AIMS)数学测试发送给学生的信息和信息准确性,这些信息与中学后教育的学术准备有关。以前的研究调查了发给学生的消息,这些消息是从诸如教育标准,等级,课程政策,考试材料和大学入学要求等信息中得出的,重点是中学和中学后内容标准的内容匹配。但是,对于高中成绩的信息缺乏研究,这是通过离校考试来衡量的,而大学成绩是通过年级,专业选择或毕业来衡量的。这项研究满足了根据学习成绩理解和解释学生收到的信息的需求。具体而言,本研究旨在回答三个问题。首先,亚利桑那大学的数学要求和大学毕业定义的AIMS数学成绩和大学数学表现之间的关系是什么?第二,AIMS数学成绩在多大程度上可以预测大学的数学表现?第三,选择某些专业的学生的平均AIMS数学成绩和表现水平是多少?为了回答本研究提出的研究问题,采用了各种统计分析方法。为了回答第一个问题,使用了单向方差分析和逻辑回归分析。线性回归分析有助于分析第二和第三个问题。结果表明,发送给学生的有关大学准备情况的信息实际上是一致的,清晰且一致的。同样,有证据表明这些信息随性别和种族而变化。

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    Cimetta Adriana D.;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 en
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