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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
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
Safir, Shane; Dugan, Jamila – Corwin, 2021
Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the "student" up--with classrooms, schools and systems…
Descriptors: Data Collection, Equal Education, Educational Change, Data Use
M. Stoehr; M. Diehl; M. Morningstar; D. Rowe; B. K. Simmons; C. Fowler; D. Lattin; J. Vicchio; E. Wall – National Technical Assistance Center on Transition: The Collaborative, 2024
The National Technical Assistance Center on Transition: the Collaborative (NTACT:C) Collaborative Assessment Guide for Transition Planning (CAG) is intended to help students, family members, educators, vocational rehabilitation counselors, human services and health agency staff, and other partners develop a coordinated assessment approach for…
Descriptors: Transitional Programs, Equal Education, Educational Legislation, Students with Disabilities
Mandinach, Ellen B., Ed.; Gummer, Edith S., Ed. – Teachers College Press, 2021
This volume brings together experts on various aspects of education to address many of the emerging issues and problems that affect how data are being used or misused in educational contexts. Readers will learn about the importance of using data effectively, responsibly, and ethically to fully understand how cognitive fallacies occur and how they…
Descriptors: Ethics, Data Use, Decision Making, Educational Policy
Chaparro, Erin A.; Green, Ambra L.; Thompson, Sylvia L.; Batz, Ruby – Preventing School Failure, 2021
A substantial achievement gap, with culturally and linguistically diverse (CLD) students falling behind native-English-speaking White peers, has been widely documented in research as well as government reports. However, a corresponding discipline gap has not been evident due to the various labels and methods used for identifying specifically…
Descriptors: English Language Learners, Bilingual Students, Student Behavior, Academic Achievement
Equity-Oriented Data Use: Identifying and Addressing Food Insecurity at Copper Springs Middle School
Atwood, Erin D.; Jimerson, Jo Beth; Holt, Briana – Journal of Cases in Educational Leadership, 2019
Using data is foundational to school leadership; however, when "data" are narrowly construed as academic outcomes, important data perceived as tangential to academics can be backgrounded, ignored, or unused. Today's school leaders must also attend to data around chronic absenteeism, discipline, learning climate, and social, emotional,…
Descriptors: Data Use, Equal Education, Food, Middle School Students