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arXiv 1502.02057physics.ed-phcs.CYphysics.soc-ph
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伊利诺伊州教育学校数据的模式

Patterns in Illinois Educational School Data

Cacey S. Stevens, Michael P. Marder, Sidney R. Nagel

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9 pages, 6 figures
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摘要：

我们检查伊利诺伊州的教育数据，从标准化考试和分析影响公立学校学生成绩的主要因素。我们专注于最简单的模型：通过可视化和单变量回归来表示数据。考试成绩取决于学校类型、地点和贫困集中程度。对于伊利诺斯州的大多数学校来说，学生的考试成绩随着贫困程度的增加而线性下降。但是，芝加哥必须单独对待。芝加哥的选择性学校，以及一些传统和特许学校，偏离了这种基于贫困的模式。对于任何贫困水平，芝加哥学校的表现都比伊利诺伊州其他地区的学校好。与伊利诺伊州其他学校类型相比，天才学生的选择性课程在每个年级都表现出色，最明显的是在高中阶段。芝加哥特许学校的情况更为复杂。在过去的六年里，他们的学生的成绩超过了传统的芝加哥高中的学生。

英文摘要：

We examine Illinois educational data from standardized exams and analyze primary factors affecting the achievement of public school students. We focus on the simplest possible models: representation of data through visualizations and regressions on single variables. Exam scores are shown to depend on school type, location, and poverty concentration. For most schools in Illinois, student test scores decline linearly with poverty concentration. However Chicago must be treated separately. Selective schools in Chicago, as well as some traditional and charter schools, deviate from this pattern based on poverty. For any poverty level, Chicago schools perform better than those in the rest of Illinois. Selective programs for gifted students show high performance at each grade level, most notably at the high school level, when compared to other Illinois school types. The case of Chicago charter schools is more complex. In the last six years, their students' scores overtook those of students in traditional Chicago high schools.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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