In the 2023 report "Colorado's Longitudinal Data Landscape. Report to the Education Committees of the Colorado House of Representatives and the Colorado Senate. Statute: 23-1-141," the Colorado Department of Higher Education (CDHE) provided a detailed overview of Colorado's long history of efforts to support more connected, longitudinal…

Each year, state legislators introduce hundreds of bills that generate new data collections, analyses, and resources, playing a crucial role in how people access and use data. Notably, in 2023 legislators introduced and enacted bills governing cross-agency data systems--the most important step that states must take to make robust access to data…

Multilingual learners (MLL) are a large and growing group of disadvantaged students in the United States public education system who come from refugee and immigrant backgrounds and require linguistic instruction, in addition to content instruction. MLLs are entitled to language instruction, and school districts receive additional funding for these…

In 2024, state legislators introduced hundreds of bills that would affect data collection, access, and use across early education, K-12, postsecondary, and the workforce. As in 2023, legislators continued to introduce and enact legislation governing cross-agency data systems. These policies are the most important step toward making statewide…

The primary purpose of Title 1, Part D programs is to improve the educational outcomes for youth who are categorized as "neglected" (n), "delinquent" (d), or at-risk under the statute. This brief is designed to help State Coordinators, grantees involved in data collection or analyses, and personnel involved in the design of…

Elementary school teachers struggle to collect and use reading progress data to make instructional decisions. Collecting and interpreting reading progress data when making instructional decisions allows districts to identify and support students who need early reading intervention and may protect districts from Free Appropriate Public Education…

Under both No Child Left Behind and the Every Student Succeeds Act, school leaders have been mandated to employ data-driven decision-making (DDDM) to diagnose student needs, implement targeted supports, and design school improvements. However, district administrators tasked with developing principals' DDDM capacity face a tough road. The authors…

This guidebook is designed for institutional leaders and student success teams who are ready to talk openly about the students they serve and who are eager to learn practical strategies from national experts and peer institutions. We cannot design an experience that meets our students where they are unless we holistically understand who they are.…

For any labor market to function properly, clear information is needed to guide decision making; its absence invariably leads to less than optimal decisions and inefficiencies. While the broader labor market is riddled with imperfect information, the teacher labor market is particularly vulnerable--largely for the lack of the most basic…

Data is a crucial component in educational success. It gives educators the power to address student needs, study what strategies work, and make necessary changes so that every student has the greatest opportunity. Today, educators, parents, and students have access to more data than ever before and have access to more technology tools to…

This 2016 document is designed to provide state Part C staff with guidance on using fiscal data to analyze and revise their allocation methodology. Allocation methodology is the process -- including practices, strategies, procedures, and policies -- used by Part C state staff to equitably distribute funds to meet the needs of the system, including…

The Every Student Succeeds Act grants states new flexibility to create more balanced assessment systems with a greater role for formative assessment. Drawing on lessons learned over three decades of research and reform, we argue that state and local leaders should take the lead in designing new assessments guided by two core principles: First,…

The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…

This document records testimony from a hearing held to discuss higher education and transparency as Congress is working to reauthorize the Higher Education Act. Member statements were presented by: (1) Honorable Susan A. Rankin, Ranking Member, Subcommittee on Higher Education and Workforce Development; and (2) Honorable Brett Guthrie, Chairman,…

This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…