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How to Mine NCES Reports for Hidden Treasures

机译:如何挖掘NCE报告隐藏的宝藏

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The National Center for Education Statistics is a treasure trove of information on primary, secondary, and postsecondary education. NCES follows U.S. students from kindergarten through postgraduation employment, and reports the data in the annual Digest of Education Statistics, which is supplemented by detailed tables in spreadsheet form. The Digest discusses the ways in which many factors in higher education have changed over time; these factors include the popularity of different college majors, student diversity (e.g. age, gender, ethnicity & race, economic background), graduation rates, and employability of graduates by major. Some data, such as employability of 25-29 year olds with a bachelor's degree, have only been collected in very recent years, while other variables have been collected for decades. With the data, we can answer historical questions such as "how did the Great Recession affect college attendance and majors?" and student advising questions such as "given my interests and abilities, would an Engineering Technology degree be a good choice if I want to pay back my student loans by age 30?" In addition, NCES publishes projected statistics for the next decade. Projections indicate a 13% increase in college enrollment in the next 11 years, with the highest growth rates amongst women, people of color, Hispanics, Asians, and students over 35. Professors and administrators in higher education can use this information for academic advising, for requesting resources, and for planning. This paper will review some of the more interesting datasets available from NCES annual reports through the lens of the Baldrige Excellence Framework, which requires that data graphics show levels, trends, and comparisons (relevant benchmarks) over time. This paper will also discuss ways we can use NCES data to improve Engineering Technology education and advising.
机译:国家教育中心统计数据是关于小学,中学和后期教育的资料的宝库。 NCE通过研究生就业,从幼儿园的学生遵循,并报告了教育统计数据的年度摘要中的数据,该数据由电子表格表格中的详细表格补充。摘要讨论了多种教育中许多因素随着时间而改变的方式;这些因素包括不同大学专业,学生多样性(例如年龄,性别,种族和种族,经济背景),毕业率和毕业生的就业能力。近年来只收集了一些数据,例如25-29岁的雇用,才收集,而几十年来,已经收集了其他变量。通过数据,我们可以回答历史问题,例如“巨大经济衰退如何影响大学出席和专业?”和学生建议诸如“鉴于我的兴趣和能力”等问题,如果我想按住30岁以上的学生贷款,那么工程技术学位将是一个不错的选择?“此外,NCE出版了未来十年的预计统计数据。预测表明未来11年的大学招生增加13%,妇女的增长率最高,彩色,西班牙裔人,亚洲人和35多名学生。高等教育的教授和管理员可以使用这些信息进行学术建议,要求资源和规划。本文将通过Baldrige卓越框架的镜头审查NCE年度报告中提供的一些更有趣的数据集,这要求数据图形显示水平,趋势和比较(相关基准)随着时间的推移。本文还将讨论我们可以使用NCES数据来改善工程技术教育和建议的方式。

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