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Colorado Department of Higher Education, 2023
Colorado has led the nation in supporting the success of all Coloradans, enacting bold policies, and continuing to build a Colorado for all. These efforts have all been informed by robust stakeholder engagement paired with data analysis. Various initiatives over the years have improved the state's ability to use data to inform these goals. With…
Descriptors: Data Analysis, Decision Making, Data Use, Career Pathways
Data Quality Campaign, 2023
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…
Descriptors: Educational Legislation, Data Analysis, Data Collection, Access to Information
Sheryl S. Lazarus; Martha L. Thurlow; Mari K. A. Quanbeck – Journal of Special Education, 2025
The 2015 reauthorization of the Elementary and Secondary Education Act placed a 1.0% cap on the participation of students with disabilities in the alternate assessment based on alternate academic achievement standards (AA-AAAS). U.S. Department of Education regulations clarified that states must develop participation guidelines and a definition of…
Descriptors: Students with Disabilities, Alternative Assessment, Guidelines, State Standards
Flores, Osly J.; Gunzenhauser, Michael G. – Urban Education, 2021
This article addresses what we are calling "the gaps," the divergent and contextual understandings of "opportunity gap" and "achievement gap" evident in interviews with principals and school district leaders. Drawing from a sample of 22 interviews in urban, inner-ring suburban, and outer-ring suburban schools in a…
Descriptors: Academic Achievement, Achievement Gap, Principals, Administrator Attitudes
Saenz-Armstrong, Patricia – National Council on Teacher Quality, 2021
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…
Descriptors: Teacher Supply and Demand, Teacher Shortage, Decision Making, State Departments of Education
Roegman, Rachel; Kenney, Rachael; Maeda, Yukiko; Johns, Gary – Educational Policy, 2021
This case study examines how district administrators and high school mathematics and science teachers use data in instructional decision making and what challenges they face in the current accountability context. Findings reveal unique aspects of data use directly related to a high school setting within the context of test-based accountability and…
Descriptors: Case Studies, Educational Policy, Decision Making, High School Students
Greer, Maureen; Kilpatrick, Jamie; McCullough, Katy; Reid, Kellen – Center for IDEA Early Childhood Data Systems (DaSy), 2016
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…
Descriptors: Educational Legislation, Equal Education, Disabilities, Federal Legislation
Shepard, Lorrie A.; Penuel, William R.; Davidson, Kristen L. – Phi Delta Kappan, 2017
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,…
Descriptors: Federal Legislation, Educational Legislation, Formative Evaluation, Test Construction
Roegman, Rachel; Samarapungavan, Ala; Maeda, Yukiko; Johns, Gary – Educational Administration Quarterly, 2018
Purpose: We explored the practices and understandings around using disaggregated data to inform instruction of 18 principals from three Midwestern school districts. Research Method: This qualitative study used one-on-one semistructured interviews with the principals focusing on how they disaggregate data in practice. The protocol included general…
Descriptors: Principals, School Districts, Data Analysis, Administrator Attitudes
Center for IDEA Early Childhood Data Systems (DaSy), 2019
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…
Descriptors: Evidence Based Practice, Early Intervention, Early Childhood Education, Data Collection
Hrabowski, Freeman A., III. – Johns Hopkins University Press, 2019
There are few higher education leaders today that command more national respect and admiration than Freeman A. Hrabowski III, the outspoken president of the University of Maryland, Baltimore County. Named one of America's Best Leaders by "US News & World Report" and one of "Time's" 100 Most Influential People in the World,…
Descriptors: Leadership Styles, Participative Decision Making, Administrator Role, Educational Administration
LaRocca, Bob; Krachman, Sara Bartolino – Transforming Education, 2018
In this policy brief, TransformEd provides policy recommendations for local and state leaders seeking to take a data-informed approach to SEL. We specifically crafted recommendations that incorporate the use of data because gathering data on SEL allows educators to make meaningful connections between student experiences, school culture, and…
Descriptors: Social Development, Emotional Development, Data Analysis, Decision Making
Atkinson, Linton – ProQuest LLC, 2015
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…
Descriptors: Teaching Experience, Data, Decision Making, Reading Achievement
Brawley, Susan; Stormont, Melissa A. – Journal of Positive Behavior Interventions, 2014
The importance of collecting and using data for educational decision making is clear. However, little information has been gathered about the systematic collection and use of data in early childhood. The purpose of this study was to explore teacher perceptions of data collection practices in early childhood. Participants included 137 early…
Descriptors: Data Collection, Early Childhood Education, Teacher Attitudes, Preschool Teachers
Cole, Brenda L. – ProQuest LLC, 2014
This qualitative research study examines the preschool choices made by five mothers of children with disabilities who had interacted with early intervention professionals in the year prior to their children's transition to preschool. The purpose of this study was to examine the understanding parents created of their children's disability through…
Descriptors: Qualitative Research, Case Studies, Mothers, Early Intervention
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