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Knudson, Joel – California Collaborative on District Reform, 2020
School closures in response to the COVID-19 pandemic have dramatically changed the conditions in which students learn and experience schooling. Disparities in students' access to learning and in their academic outcomes are likely to exacerbate longstanding challenges and inequities. Now more than ever, educators need information that will help…
Descriptors: Data Use, Educational Improvement, Equal Education, Data Collection
Hartong, Sigrid – Critical Studies in Education, 2021
This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…
Descriptors: State Departments of Education, Technology Uses in Education, Performance, Accountability
Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
Isenberg, Eric; Teh, Bing-ru; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…
Descriptors: Teacher Effectiveness, Elementary School Students, Elementary School Teachers, Academic Achievement
Ardoin, Scott P.; Christ, Theodore J.; Morena, Laura S.; Cormier, Damien C.; Klingbeil, David A. – Journal of School Psychology, 2013
Research and policy have established that data are necessary to guide decisions within education. Many of these decisions are made within problem solving and response to intervention frameworks for service delivery. Curriculum-Based Measurement in Reading (CBM-R) is a widely used data collection procedure within those models of service delivery.…
Descriptors: Academic Achievement, Evidence, Guidelines, Journal Articles
Miller, Tiffany D.; Hanna, Robert – Center for American Progress, 2014
Race to the Top (RTT) is a first-of-its kind $4.35 billion competitive grant program designed to spur state-level education innovation to boost student achievement, close achievement gaps, and prepare students for college and careers. Originally authorized in 2009 under the American Recovery and Reinvestment Act, RTT encourages states to develop…
Descriptors: Federal Legislation, Educational Legislation, Federal Programs, Federal Aid
Prescott, Brian T.; Ewell, Peter – Western Interstate Commission for Higher Education, 2009
The rise of a globalized knowledge economy requires nations to understand the distribution of skills and abilities in their populations. It is no longer sufficient to know how many resources are devoted to the development of nations' human capital. Today, nations also must be able to demonstrate and understand the outcomes of their educational…
Descriptors: Human Capital, Outcomes of Education, Databases, Data Collection
Pai, Wendell; Moschos, Marina; Detlev, Angela; Robinson, Ophelia; Lanneau, Sumi – New Directions for Institutional Research, 2008
This chapter describes the development of a state-level student tracking system that enables the state and institutions to follow various cohort types of students across institutional boundaries. The system was developed by the Policy Research and Data Warehousing section of the State Council of Higher Education for Virginia (SCHEV). SCHEV is the…
Descriptors: Higher Education, Institutional Research, Academic Achievement, Recordkeeping
Perez, Maria; Shambaugh, Larisa S.; Parrish, Tom – American Institutes for Research, 2008
California currently faces an opportunity to develop an effective data system that can assist in improving the state's future understanding of the educational progress of English learners (ELs). This policy brief outlines the needs for good data on ELs and makes recommendations for creating an effective longitudinal data system for ELs. It…
Descriptors: Second Language Learning, Longitudinal Studies, Trend Analysis, English (Second Language)
Kugle, Cherry; Smith, Nancy – Data Quality Campaign, 2007
The Data Quality Campaign is a national, collaborative effort to encourage and support state policymakers to improve the collection, availability and use of high-quality education data and to implement state longitudinal data systems to improve student achievement. The campaign aims to provide tools and resources that will assist state development…
Descriptors: Data Collection, Longitudinal Studies, Academic Achievement, State Policy
Data Quality Campaign, 2010
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…
Descriptors: Academic Achievement, Feedback (Response), Tests, Longitudinal Studies
Ahmed, Susan; Barbett, Samuel; Carr, Peggy; Frase, Mary; Hoffman, Lee; Kasprzyk, Daniel; Kolstad, Andrew; Owings, Jeffrey; Snyder, Tom – 1997
The Task Force on Quality Control of the National Center for Education Statistics (NCES) was created to study the quality control procedures used for NCES publications and to determine if there are ways to improve the current procedures. Because a detailed review of the entire survey process would have been too time consuming, the Task Force…
Descriptors: Academic Achievement, Data Collection, Databases, Educational Trends
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Florian, Lani; Rouse, Martyn; Black-Hawkins, Kristine; Jull, Stephen – British Journal of Special Education, 2004
Recent developments in the Department for Education and Skills (DfES) have produced a national pupil database (NPD) that contains information about the attainments of individual pupils. Every child in the country has been allocated a unique pupil number (UPN), which means that the academic progress of individuals can be tracked over time. It is…
Descriptors: Special Needs Students, Academic Achievement, Disabilities, Special Education
McGrew, Kevin S.; And Others – 1994
This report summarizes activities of the National Center on Educational Outcomes directed at producing a report on the status of students with disabilities from the secondary analysis of state-collected achievement data. Although 27 states reported that large-scale achievement data were available for some students with disabilities, potentially…
Descriptors: Academic Achievement, Data Collection, Databases, Disabilities