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

该项目将研究国家纵向数据系统（SLDS）收集的数据的潜力，作为一种反映国家趋势的方式，但仍然解决每个系统设计的国家信息需求。该项目将研究如何使用SLDS基础设施来收集与国家研究理事会在《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。该项目探讨了诸如NCES论坛等能够刺激数据收集政策变化的杠杆行动点。将从数据质量以及有用性、及时性和负担方面权衡旨在改进数据供国家使用的修订，以迫使作出权衡，并确定所需支助。此外，如果结果是可持续土地发展战略基础设施无法支持某些指标，决策者和其他利益攸关方将有更明确的信息，了解是否需要建立其他手段。该项目的成果将是一份跨州和州内的报告，说明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。第二个成果是召开一个小型会议，制定行动步骤，说明需要做什么，以及可以做什么来规划和实施未来的数据收集，以解决STEM指标。该项目将重点关注STEM指标和州一级数据基础设施的交叉点，以解决这些指标。具体而言，重点是围绕SLDs数据高速公路的基础设施在多大程度上能够支持处理STEM指标所需的数据。国家数据系统比10年甚至5年前更加健全。每个州现在都开发了一个SLDS，其中包含数百个（如果不是数千个）按学校级别分类的数据元素。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州是唯一的。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，以确定现有的州数据收集如何解决任何指标，从专家认为与SLDS当前和未来数据收集最一致的子集开始，以及需要对州系统进行哪些修订。该项目确定指标1、2、3、6、7和8最有潜力。其成果将是一套建议和行动步骤，以及各国和其他方面的声明，说明国家消费者统计调查论坛和其他支持机构在利用国家数据收集所需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.