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Dan Goldhaber; Nick Huntington-Klein; Nate Brown; Scott Imberman; Katharine O. Strunk – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
The COVID-19 pandemic forced widespread school closures and a shift to remote learning. A growing body of research has examined the effects of remote learning on student outcomes. But the accuracy of the school modality measures used in these studies is questionable. The most common measures--based on self-reports or district website…
Descriptors: Handheld Devices, Telecommunications, COVID-19, Pandemics
Meza, Elizabeth; Blume, Grant; Rubin, Zachary; Balhan, Krystle; Zumeta, William; Hang, Kendrick; Bragg, Debra D. – Career and Technical Education Research, 2021
Over the last ten years, in Washington community and technical colleges (CTC) there has been a great leap forward in access and use of data for setting and measuring goals, monitoring progress, and identifying equity gaps. Despite much progress, faculty members in career and technical education (CTE) programs still often have difficulty accessing…
Descriptors: Vocational Education, College Faculty, Data Use, Decision Making
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
Marrs, Heath; De Leon, Melissa; Lawless, Timothy – School Psychology Review, 2022
Disproportionality in the identification of disabilities among children who are culturally and linguistically diverse is an ongoing challenge for educators. A practice that may help address issues of disproportionality is the use of universal screening and progress monitoring data for academic skills as well as English language proficiency data to…
Descriptors: English Language Learners, Language Proficiency, Data Use, Oral Reading
Bryant, Matt – Association for Institutional Research, 2021
Survey methodology is the dominant approach among universities in the United States for reporting employment outcomes for recent graduates. However, past studies have shown that survey methodology may yield upwardly biased results, which can result in overreporting of employment rates and salary outcomes. This case study describes the development…
Descriptors: Data Collection, Data Use, Labor Force, Institutional Research
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
Perez, Zeke, Jr.; von Zastrow, Claus – Education Commission of the States, 2023
Data governance is a core obligation for leaders and staff across any agency that collects, stores or uses individuals' data. It ensures that individuals' personal information is protected, and can support the continuous improvement of data quality and use, particularly when it includes well-defined processes, structure and responsibilities.…
Descriptors: Governance, Data Use, Privacy, Information Management
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
Golan, Shari; Woodbridge, Michelle; Davies-Mercier, Betsy; Pistorino, Carol – Office of Planning, Evaluation and Policy Development, US Department of Education, 2016
States increasingly are incorporating Kindergarten Entry Assessments (KEAs) into their comprehensive assessment systems with the goal of helping educators identify gaps in children's competencies, target instruction to children's individual needs, engage parents to better support their child's learning, and identify needs for expanding and…
Descriptors: Kindergarten, Tests, Testing Programs, Data Use