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Data Quality Campaign, 2025
Statewide longitudinal data systems (SLDSs) often rely on personal identifiers to securely link individual-level data across early childhood, K-12, higher education, and the workforce. However, different sectors use different types of personal identifiers which can make accurately connecting records difficult. Driver's license data offers a single…
Descriptors: Data Collection, Motor Vehicles, Certification, Education Work Relationship
Tochukwu Okoye – Learning Professional, 2024
Data is ubiquitous and inseparable from the human experience. It constantly informs and transforms interactions, decisions, and understanding. If the total amount of all the data created daily was printed on paper, it would fill a library the size of 110 Libraries of Congress. As a senior research consultant for an education market research and…
Descriptors: Elementary Secondary Education, Data Use, Inclusion, Educational Improvement
Sophie Zamarripa; Hailly T. N. Korman; Paul Beach; Libby Schwaner; Max Marchitello – Bellwether, 2025
"Court-involved" students -- those who are incarcerated, on probation, in foster care, in residential treatment facilities, or have concurrent adjudications -- retain their full educational rights under federal and state laws. They also face many educational challenges, as they are often highly mobile, have concentrated needs, and may…
Descriptors: Data Collection, Data Use, Information Dissemination, Juvenile Justice
Knips, Andrew; Lopez, Sonya; Savoy, Michael; LaParo, Kendall – ASCD, 2022
Building a better data culture can be the path to better results and greater equity in schools. But what do we mean by data? Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken…
Descriptors: Equal Education, Data Use, Data Collection, Data Analysis
Kalista Peña – Tribal College Journal of American Indian Higher Education, 2025
Native nations have long proven their resilience against the odds, consistently paving a path forward and exercising their sovereign rights as autonomous, self-governing peoples. As the world embarks upon an increasingly digital age, Indigenous peoples face a new threat: datafication. Datafication is "turning nearly every aspect of human life…
Descriptors: Minority Serving Institutions, Tribally Controlled Education, Tribal Sovereignty, Data Use
Siobhan Reilley – Impacting Education: Journal on Transforming Professional Practice, 2024
The purpose of this essay is to discuss the impact of the EdD experience on one teacher's understanding of data and research. From a first-person narrative, the author shares how learning to collect and analyze qualitative data has the potential to change the way teachers can engage with "data-driven decision making" in a high school…
Descriptors: Data Use, Data Collection, Data Analysis, Teacher Leadership
Colorado Department of Higher Education, 2024
In the 2023 report "Colorado's Longitudinal Data Landscape. Report to the Education Committees of the Colorado House of Representatives and the Colorado Senate. Statute: 23-1-141," the Colorado Department of Higher Education (CDHE) provided a detailed overview of Colorado's long history of efforts to support more connected, longitudinal…
Descriptors: Data Collection, State Legislation, Educational Legislation, Best Practices
Data Quality Campaign, 2025
Policymakers across the country are seeking to better understand credentials of value--the education and training programs that help workers fill in-demand and growing jobs in their states. But right now, leaders are lacking the complete set of information they need to understand P-20W (early childhood, K-12, postsecondary, and workforce) pathways…
Descriptors: Unemployment, Insurance, Labor Force, Education Work Relationship
Soyoung Park; Pamela M. Stecker; Sarah R. Powell – Intervention in School and Clinic, 2024
This article provides teachers with a toolkit for assessing students in the context of data-based individualization (DBI) in mathematics. Assessing students is a critical component of DBI because it provides teachers with information about what they may need to modify in their instructional programs. In this article, we provide teachers with…
Descriptors: Student Evaluation, Individualized Instruction, Mathematics Instruction, Progress Monitoring
Jessica Arnold; Julie Webb – WestEd, 2024
While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…
Descriptors: Data Use, Measurement, Educational Improvement, Outcomes of Education
Sarah Hensley; Janet Fox; Missy Cummins; Meggan Franks; Marianne Bird; Cindy Wells; JoLynn Miller – Journal of Extension, 2024
Cooperative Extension professionals utilize proven qualitative techniques to collect and analyze information to make data-driven decisions that guide program direction and determine impact. While the process may not always look the same, it is indeed essential to ensure findings are credible and reflective of the data. A codebook is a valuable…
Descriptors: Youth Clubs, Nonprofit Organizations, Extension Education, Data Use
Alexandra M. Pierce; Melissa A. Collier-Meek; Thea R. Bucherbeam; Lisa M. H. Sanetti – Communique, 2024
Students cannot experience the full potential benefits of an intervention unless they are receiving the intervention. This is the second installment in a three-part series on intervention fidelity designed to highlight the importance of ensuring classroom supports are implemented as intended. This article provides guidance related to measuring and…
Descriptors: Data Use, Decision Making, Intervention, Fidelity
Region 1 Comprehensive Center, 2024
The Maine Department of Education (MDOE) wanted to better understand if their current educator workforce data collection could help them quantify supply and demand for educators in the state. They also wanted to understand if local school administrative units collected data that could inform future efforts to understand educator vacancies to…
Descriptors: School Administration, Teacher Characteristics, Labor Force, Data Collection
Data Quality Campaign, 2024
A national poll from the Data Quality Campaign (DQC), conducted by The Harris Poll, surveyed early childhood administrators--educational or child care professionals in program director or general manager roles serving children from birth through age four--to find out how they are collecting, using, and reporting data. Early childhood…
Descriptors: Early Childhood Education, Administrator Attitudes, Data Use, Decision Making
Barrett, Sheri H. – Stylus Publishing LLC, 2023
Written with faculty in mind, "Assessment by Design" is a practical resource that will also be useful to student affairs staff and administrators dedicated to using assessment to improve learning in curricular and co-curricular settings. This book presents the Cycle of Assessment as a framework that supports assessment in service of…
Descriptors: Educational Assessment, Evaluation, Planning, Data Collection

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