Research on data use and school Early Warning Systems (EWS) notes a central practice of researchers and practitioners is to search for patterns in student data to predict outcomes so schools can support success when students experience challenges. Yet, the domain lacks a means to visualize the rich longitudinal data that schools collect. Here, we…

Statewide Longitudinal Data Systems grant-funded projects represent one of the most developed and systemic K-12 education data projects in U.S. history. This report reviews what types of K-12 data elements are included in state systems, data linking with other systems, and how the data are used for reporting and decision making.

As communicated via a November 2017 memo (see ED610130), the Vermont Agency of Education (AOE), in collaboration with their implementation vendor Houghton Mifflin Harcourt (HMH), has been working to finalize the design, development, and testing of a Statewide Longitudinal Data System (SLDS). Through its Vertical Reporting processes, the SLDS will…

The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…

California's education data, at least as they currently are collected, managed, and made available, are not sufficient for understanding and addressing the needs of California's students. That's the conclusion of the first three reports in the series "California Education Policy, Student Data, and the Quest to Improve Student Progress,"…

Data use is becoming a prominent strategy for educational innovation and improvement across countries. However, the fragmentation of data collection often hinders the capacity of policymakers, researchers and practitioners to access and analyse the wealth of data routinely generated in educational institutions. A critical step towards realising…

Students, policymakers and institutions all need to have high quality data about how today's students access and pay for higher education--and what contributes to their success. But the data that are available now are woefully inadequate. We need to improve the national postsecondary data infrastructure The report thoroughly explores seven options…

While states have made tremendous progress building the capacity to collect longitudinal data, developing the systems and practices to tap into P-20W data remains a nascent effort in most states. This primer aims to provide policymakers with information and recommendations to propel states' progress toward using P-20W data to prepare…

This chapter presents a sophisticated approach for tracking student cohorts from entry through departure within an institution. It describes how a researcher can create a student tracking model to perform longitudinal research on student cohorts. (Contains 3 tables and 2 figures.)

This chapter introduces four new data tools that broaden student tracking coverage and add statistical indicators and visual images of employment patterns. (Contains 2 exhibits.)

States have made dramatic progress in the past few years in implementing longitudinal data systems (LDS) to improve student achievement. These systems collect and house student educational data that make it easy for policymakers and practitioners to access and use it for reporting, policymaking and decision making. So much has happened in states…

States have made tremendous progress in developing longitudinal data systems that can track student progress and answer critical policy questions. However, more work is needed, particularly on certain elements. Data on course-taking and grades (element 6), college readiness test scores (element 7), and other feedback from post-secondary…

Now that all 50 states and the District of Columbia are building statewide longitudinal data systems, the next step is to ensure that the information in these systems is used to improve student learning. The Data Quality Campaign (DQC) has identified 10 actions that states can take to ensure that the right data are available and accessible and…

The information system of the American Council on Education (ACE), which comprises the basis for the ACE Higher Education Data Bank, is designed to collect and maintain biographical and other data on approximately 300,000 college freshmen each year for continuing longitudinal research based on subsamples of the students. The need for confidential…

Constructing a longitudinal student outcomes data file takes careful planning and attention to detail, but investment in such a resource yields substantial dividends in the ability to document and explain complex patterns of student success. (Author)