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Marx, Teri; Peterson, Amy; Arden, Sarah – National Center on Intensive Intervention, 2020
During spring 2020, educators quickly adapted to providing interventions and collecting data virtually despite the challenges of the COVID-19 pandemic. Parents were critical partners in supporting opportunities for students with intensive needs to data-based individualization (DBI) Process practice and receive feedback and sharing what was working…
Descriptors: COVID-19, Pandemics, Individualized Instruction, Data Use
National Governors Association, 2020
On behalf of the National Governors Association (NGA), and with support from the Robert Wood Johnson Foundation (RWJF), the State Health Access Data Assistance Center (SHADAC) has developed this resource, which highlights states that have released data thresholds, sometimes referred to as gating criteria or benchmarks, to guide schools, school…
Descriptors: COVID-19, Pandemics, Elementary Secondary Education, School Closing
Education Commission of the States, 2020
Following a high-quality early care and pre-K experience, the kindergarten-through-third-grade years set the foundation upon which future learning builds; and strengthening this continuum creates opportunities for later success. Key components of a quality experience in K-3 include school readiness and transitions, kindergarten requirements,…
Descriptors: State Policy, Educational Policy, Primary Education, Student Evaluation
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Leu, Katherine – RTI International, 2020
Postsecondary education is awash in data. Postsecondary institutions track data on students' demographics, academic performance, course-taking, and financial aid, and have put these data to use, applying data analytics and data science to issues in college completion. Meanwhile, an extensive amount of higher education data are being collected…
Descriptors: Learning Analytics, Postsecondary Education, Academic Achievement, Graduation Rate
Jacob M. Schauer; Arend M. Kuyper; E. C. Hedberg; Larry V. Hedges – Grantee Submission, 2020
States often turn to a data masking procedure called microsuppression in order to reduce the risk of disclosing student records when sharing data with external researchers. This process removes records deemed to have high risk for disclosure should data be released. However, this process can induce differences between the original data and the…
Descriptors: Student Records, Disclosure, Privacy, State Policy
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Jacob M. Schauer; Arend M. Kuyper; Eric C. Hedberg; Larry V. Hedges – Journal of Research on Educational Effectiveness, 2020
States often turn to a data masking procedure called microsuppression in order to reduce the risk of disclosing student records when sharing data with external researchers. This process removes records deemed to have high risk for disclosure should data be released. However, this process can induce differences between the original data and the…
Descriptors: Student Records, Disclosure, Privacy, State Policy
David Lopez; Erica Mallett Moore; Amanda Nabors – WestEd, 2024
Education policies serve as potent tools for advancing equitable outcomes and systematically addressing inequities in schools and districts. But education policies often mirror inequities and bias-based beliefs within the K-12 education system. Increasing educational equity is key to overcoming the status quo and improving educational outcomes for…
Descriptors: Equal Education, Educational Policy, Outcomes of Education, Elementary Secondary Education
Steven S. Graunke – Association for Institutional Research, 2024
Several authors (Bowman & Denson, 2014; Gilbreath et al., 2011) have claimed that measures of fit between a student and the institution they are attending should be useful for institutional decision-making. These student-institution fit instruments were originally developed for research with specific student populations in one institution, but…
Descriptors: Student College Relationship, College Freshmen, Data Use, Information Sources
Juan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…
Descriptors: Educational Improvement, Data Collection, State Departments of Education, School Districts
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Schildkamp, Kim; Poortman, Cindy L.; Ebbeler, Johanna; Pieters, Jules M. – Journal of Educational Change, 2019
Data-informed decision making is considered important for school improvement. Working in data teams is a promising strategy for implementing data use in schools. Data teams consist of teachers and school leaders, who collaboratively analyze data to solve educational problems at their school. Studies show that school leaders can enable and hinder…
Descriptors: Data Use, Decision Making, Educational Improvement, Teamwork
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Bergner, Yoav; von Davier, Alina A. – Journal of Educational and Behavioral Statistics, 2019
This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in…
Descriptors: National Competency Tests, Data Collection, Data Analysis, Cognitive Processes
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Hackmann, Donald G.; Malin, Joel R.; Ahn, Joonkil – Journal of Educational Administration, 2019
Purpose: The purpose of this paper is to examine data use practices within a cross-sector initiative involving high school career academies. It discerns how partners used data to assess the public value of academies and address equity concerns. Design/methodology/approach: A case study methodology was applied to examine cross-sector activities…
Descriptors: Data Use, Career Academies, High Schools, Educational Change
Siddiqi, Javaid; Sims, Patrick C.; Goff, Allison L. – Hunt Institute, 2019
The rise of data collection in the public and private sectors has presented policymakers with an unprecedented opportunity to leverage vast amounts of data to create more efficient systems, improve program performance, and drive equitable outcomes. Empowering policymakers and practitioners with functional access to accurate data has the potential…
Descriptors: Longitudinal Studies, Data Collection, Data Analysis, Data Use
NWEA, 2019
When Dr. Tonya Williams set out to improve the assessment program for the Georgia Leadership Preparatory Academy, she knew she had to develop a strategy that respected her teachers' time. "Students need and want to grow," she explains, "and that happens through improved teacher pedagogy. But to make that a reality, you have to give…
Descriptors: Achievement Tests, Data Use, Academic Achievement, Student Participation
Cottingham, Benjamin W.; Gong, Angela; Gallagher, H. Alix – Policy Analysis for California Education, PACE, 2019
The "CORE Districts" (referred to hereafter as "CORE") is a nonprofit organization created in 2010 to foster collaboration between eight of California's largest districts. In 2018-19, "CORE" provided a range of supports to participating districts, including programs to support multiple levels of district and school…
Descriptors: School Districts, Educational Improvement, Organizational Culture, Student Centered Learning
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