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Center for IDEA Early Childhood Data Systems (DaSy), 2025
In 2014, OSEP instituted the Statewide Systemic Improvement Plan (SSIP) reporting requirement. The SSIP was designed as a comprehensive multi-year plan for improving results for infants and toddlers with disabilities and their families through system strengthening efforts. States/entities work to improve their infrastructure, implement…
Descriptors: Infants, Toddlers, Technical Assistance, Disabilities
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Johnson, Ashleigh M.; Kroshus, Emily; Hafferty, Kiana R.; Senturia, Kirsten; Garrett, Kimberly A.; Tandon, Pooja S. – American Journal of Health Education, 2023
Background: Most United States schools include school-based physical fitness testing (SB-PFT), yet little evidence shows how it is implemented, perceived, and used. Purpose: 1) Explore stakeholders' experiences with SB-PFT; 2) identify: challenges in analyzing fitness data, ways schools can use fitness data, and predictors of meeting fitness…
Descriptors: Physical Fitness, Testing, Middle School Students, Physical Activity Level
National College Attainment Network, 2021
Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…
Descriptors: College Programs, Success, Data Collection, Data Analysis
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Gleason, Philip; Crissey, Sarah; Chojnacki, Greg; Zukiewicz, Marykate; Silva, Tim; Costelloe, Sarah; O'Reilly, Fran – National Center for Education Evaluation and Regional Assistance, 2019
Most districts help teachers use data to improve student learning, often supporting this effort with federal funds. But many teachers feel unprepared to use student data to inform their instruction -- referred to as data-driven instruction (DDI) -- and there is little evidence of whether it improves student achievement. This report assesses an…
Descriptors: Data Use, Instruction, Academic Achievement, Professional Development
Advance CTE: State Leaders Connecting Learning to Work, 2020
One of the biggest challenges that states and local intermediaries face in setting up and scaling high-quality youth apprenticeships is gathering relevant, accurate and actionable data. High-quality data is an essential ingredient for a strong youth apprenticeship program because it equips state and local leaders to evaluate impact, monitor…
Descriptors: Vocational Education, Youth Programs, Apprenticeships, Data Collection
Auspos, Patricia – Annie E. Casey Foundation, 2017
An integrated data system (IDS) that links information from separate administrative data systems offers policymakers, program administrators and researchers a powerful tool to analyze interactive effects across systems and make more informed decisions to improve outcomes for vulnerable families. This case study discusses how two states (Washington…
Descriptors: Data Use, Child Welfare, Foster Care, Family Programs