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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2019-09-30

项目摘要

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中文摘要
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英文摘要
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.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
Econometric Versus Neural Network Transportation Forecasts
计量经济学与神经网络交通预测
DOI: --
发表时间: 2018
期刊: Asian-African Journal of Economics and Econometrics
影响因子: --
作者: [Fullerton, Thomas M, Mukhopadhyay, Somnath, Walke, Adam G.]
通讯作者: Walke, Adam G.
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.
DOI: 10.4236/tel.2018.814193
发表时间: 2018
期刊: Theoretical Economics Letters
影响因子: --
作者: [Allen, Keighton R., Fullerton, Thomas M.]
通讯作者: Fullerton, Thomas M.
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
8
    Collaborative Research: A Research Hub for Understanding Inter- and intra-institutional partnerships that systematically support low-income engineering students
    EAGER International Type II: Collaborative Research: Reimagining International Research for Students in a Virtual World
    Developing the STEM Workforce: Career Pathways of Math and Science Teachers in Texas and Washington after the COVID-19 Pandemic
    • 批准号:
      2055062
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $148.29万
    • 财政年份:
      2021
    • 负责人:
      David Knight
    • 依托单位:
    Research: Collaborative Research: Non-Academic Career Paths of Master’s and PhD Engineers
    海外基金