Building Capacity for Interdisciplinary Analysis of Longitudinal Data for Education Policy Research: Understanding Science and Math Teacher Labor Market Pipelines

教育政策研究纵向数据跨学科分析的能力建设：了解科学和数学教师劳动力市场渠道

• 批准号: 1740695
• 负责人: David Knight
• 金额: $ 49.99万
• 依托单位: University of Texas at El Paso
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1740695&HistoricalAwards=false
• 关键词: Building; Capacity; Interdisciplinary; Analysis; Longitudinal

Growth in the demand for workers with math and science skills places competing challenges for K-12 education. Schools are expected to prepare a new and more diverse group of leaders for science, technology, engineering and math (STEM) industries, yet teachers with math and science training are increasingly valuable in the private sector. Teacher shortages, primarily in the fields of math and science, often require school leaders to fill positions with under-qualified teachers. Research is limited on this problem because there is limited longitudinal data linking teachers to individual students or linking teacher labor markets to non-teacher labor markets. As a result, state and district policymakers often lack necessary evidence on how to reform teacher labor market policies in ways that both reduce regional and subject-specific shortages and improve students' access to highly-qualified educators. The University of Texas at El Paso (UTEP) will develop interdisciplinary research expertise in this area by drawing on large scale longitudinal student-level datasets. The project's overarching goals are to develop and link databases for next-generation data-intensive research in education and to build an interdisciplinary community of scholars at UTEP that will continue to analyze these datasets in future research.The research project will explore three stages of the math and science teacher pipeline: (a) entrance of teacher candidates through preparation programs or alternative certification; (b) assignment of currently employed teachers to classrooms, and their later transfers to other schools and districts; and (c) exit out of the teaching labor market and into non-teaching educational positions or private sector employment. These analyses are facilitated by data on private sector employees in Texas that can be linked to multiple longitudinal student- and teacher-level datasets covering 250,000 teachers and over five million students each year for more than a 20-year period. The research topics that form the basis of this study are: (a) teacher supply, shortages, and the teacher preparation pipeline; (b) access to effective teachers for historically underserved students; and (c) factors leading to teacher attrition. Findings from the study will be of substantial interest to policymakers as well as the academic community.

对具有数学和科学技能工人的需求增长，对K-12教育面临着竞争挑战。预计学校将为科学，技术，工程和数学（STEM）行业的一系列新的，更多样化的领导者准备，但是接受数学和科学培训的教师在私营部门越来越有价值。教师短缺，主要是在数学和科学领域，通常要求学校领导者用不合格的教师担任职位。研究对此问题有限，因为纵向数据将教师与个别学生联系起来或将教师劳动力市场与非老师劳动力市场联系起来。结果，州和地区政策制定者通常缺乏有关如何以减少区域和特定主题的短缺以及改善学生获得高度合格的教育者的方式来改革教师劳动力市场政策的必要证据。德克萨斯大学El Paso分校（UTEP）将通过大规模纵向学生级别的数据集来发展该领域的跨学科研究专业知识。该项目的总体目标是开发和链接下一代数据密集型教育研究的数据库，并在UTEP建立了一个跨学科的学者社区，该社区将继续在未来的研究中分析这些数据集。该研究项目将探索数学和科学教师管道的三个阶段：（a）通过准备课程的教师候选人的入口， （b）将当前就业的教师分配到教室，然后将其转移到其他学校和地区； （c）退出教学劳动力市场，进入非教学职位或私营部门的就业。这些分析是由得克萨斯州私营部门员工的数据促进的，这些数据可以与多个纵向学生和教师级数据集有关，这些数据集涵盖了25万名教师，并且每年超过500万学生在20年以上。构成本研究基础的研究主题是：（a）教师供应，短缺和教师准备管道； （b）访问历史贫乏学生的有效教师； （c）导致教师流失的因素。这项研究的发现将对决策者和学术界具有很大的兴趣。

项目成果

Econometric Versus Neural Network Transportation Forecasts

计量经济学与神经网络交通预测

• 发表时间: 2018
• 期刊: Asian-African Journal of Economics and Econometrics
• 作者: Fullerton, Thomas M;Mukhopadhyay, Somnath;Walke, Adam G.
• 通讯作者: Walke, Adam G.

Analyzing Small Industrial and Commercial User Demand for Electricity

小型工商业用户电力需求分析

• DOI: 10.4236/tel.[phone]
• 发表时间: 2018
• 期刊: Theoretical Economics Letters
• 作者: Allen, Keighton R.;Fullerton, Thomas M.
• 通讯作者: Fullerton, Thomas M.

Expanding the Use of Educational Data for Social Justice: Lessons From the Texas Cap on Special Education and Implications for Practitioner–Scholar Preparation

扩大教育数据的使用以促进社会正义：德克萨斯州特殊教育上限的经验教训以及对从业者和学者准备的影响

• DOI: 10.1177/1942775118783710
• 发表时间: 2018
• 期刊: Journal of Research on Leadership Education
• 影响因子: 0.8
• 作者: Knight, David S.;DeMatthews, David E.
• 通讯作者: DeMatthews, David E.

Mexico Evidence on the Regional Retail Impacts of Violent Crime

墨西哥关于暴力犯罪对区域零售业影响的证据

• DOI: 10.22158/jepf.v4n3p244
• 发表时间: 2018
• 期刊: Journal of Economics and Public Finance
• 作者: Fullerton, Jr.;Walke, Adam G.
• 通讯作者: Walke, Adam G.

Does the Middle School Model Make a Difference? Relating Measures of School Effectiveness to Recommended Best Practices

中学模式有影响吗？

• DOI: 10.3390/educsci8040160
• 发表时间: 2018
• 期刊: Education Sciences
• 影响因子: 3
• 作者: Olofson, Mark;Knight, David
• 通讯作者: Knight, David