An Exploration of the Alignment of SLDS Infrastructure and Data Highway To Relevant Success Indicators in Mathematics and Science

本项目将研究各州纵向数据系统（SLDS）收集的数据作为反映国家趋势的一种方式的潜力，同时仍然满足每个系统设计时所针对的各州信息需求。该项目将研究如何使用SLDS基础设施来收集与国家研究委员会在《监测成功的K-12教育进展：一个国家的进步？》报告中提出的STEM指标相关的一些数据元素的可行性。该项目探讨了NCES论坛等行动的杠杆点，这些行动可以刺激数据收集方面的政策变化。将根据数据质量、有用性、及时性和负担强迫权衡以及所需支助的定义来权衡旨在改进供国家使用的数据的修订。此外，如果结果是可持续发展战略基础设施无法支持某些指标，政策制定者和其他利益攸关方将更清楚地了解建立其他手段的必要性。该项目的结果将是一份跨州和州内的报告，关于SLDS基础设施和数据高速公路在多大程度上有能力解决STEM指标，重点关注我们认为最有潜力的6个指标的子集。第二项成果将是一次小型会议，会议将制定行动步骤，说明需要做什么和可以做什么，以便计划和实施将涉及STEM指标的未来数据收集。该项目将重点关注STEM指标与州一级数据基础设施的交集，以解决这些指标。具体来说，重点是围绕slds数据高速公路的基础设施能够在多大程度上支持解决STEM指标所需的数据。各州的数据系统比10年前甚至5年前都要健壮得多。现在，每个州都制定了包含数百个（如果不是数千个）分解到学校级别的数据元素的SLDS。其中一些数据是联邦政府要求的，并出现在联邦EDFacts系统中。其他数据元素对于特定的状态是唯一的。该项目将从各州和EDFacts获取数据字典，并将其作为国家教育统计中心、STEM专家和SLDS官员的基础，以确定现有的各州数据收集如何解决任何指标，从专家认为最符合SLDS当前和未来数据收集的子集开始，以及需要对各州系统进行哪些修改。该项目确定了最有潜力的指标1、2、3、6、7和8。结果将是一组建议和行动步骤，以及一份来自各州和其他方面的声明，说明NCES论坛和其他支持在利用对各州数据收集进行必要修改方面可能发挥的作用。

This project will examine the potential of data collected by the State Longitudinal Data Systems (SLDS) as a way to reflect national trends-and yet still address state information needs for which each system was designed. This project will examine the feasibility of how the SLDS infrastructure might be used to collect some of the data elements related to the STEM indicators proposed by the National Research Council in the report on Monitoring Progress Toward Successful K-12 Education: A Nation Advancing? The project explores the leverage points for action like the NCES Forum that can stimulate policy change in the data collections. Revisions designed to improve the data for national use will be weighed in terms of data quality as well as usefulness, timeliness, and burden forcing trade-offs and definition of needed supports. In addition, should an outcome be that the SLDS infrastructure cannot support some of the indicators, policymakers and other stakeholders will have clearer information about the need to establish other means. The outcome of the project will be a report, both across and within states, on the extent to which the SLDS infrastructure and data highway have the capacity to address the STEM indictors, focusing on a subset of 6 indicators that we think have the most potential. A second outcome will be a small convening that will generate action steps of what needs to be done and what might be done to plan for and implement future data collections that will address the STEM indicators.The project will focus on the intersection of STEM indicators and the data infrastructure at the state level to address those indicators. Specifically, the focus is the extent to which the infrastructure surrounding the SLDSs data highway can support the data needed to address the STEM indicators. State data systems are considerably more robust than 10 or even five years ago. Each state has now developed a SLDS containing hundreds, if not thousands of data elements disaggregated to the school level. Some of these data are required by the federal government and appear in the federal EDFacts system. Other data elements are unique to the specific states. The project will obtain data dictionaries from states and EDFacts and use them as a foundation with National Center for Education Statistics, STEM experts, and SLDS officials to determine how existing state data collections could address any of indicators, beginning with a subset that experts say a best aligned to SLDS current and future data collections and what revisions to the state systems would be necessary. The project has identified Indicators 1, 2, 3, 6, 7 and 8 as having the most potential. An outcome will be a set of recommendations and action steps as well as a statement, from states and others, of what role the NCES Forum and other supports might play in leveraging for the needed modifications to state data collections.