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Reinholz, Daniel; Shah, Niral – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2021
This manuscript focuses on the role of data analytics in mediating how teachers make sense of racial and gender inequity in patterns of student participation in their classrooms. Five middle school mathematics teachers participated in a year-long professional development program, centered on data analytics generated by the EQUIP observation tool.…
Descriptors: Equal Education, Visual Aids, Racial Bias, Gender Bias
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Hannah R. Thompson; Joni Ladawn Ricks-Oddie; Margaret Schneider; Sophia Day; Kira Argenio; Kevin Konty; Shlomit Radom-Aizik; Yawen Guo; Dan M. Cooper – Journal of School Health, 2025
Background: Data missingness can bias interpretation and outcomes resulting from data use. We describe data missingness in the longest-standing US-based youth fitness surveillance system (2006/07-2019/20). Methods: This observational study uses the New York City FITNESSGRAM (NYCFG) database from 1,983,629 unique 4th-12th grade students (9,147,873…
Descriptors: Physical Fitness, Data Interpretation, Statistical Bias, Youth
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Gail Burrill; Anthony Dickson – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
The prevalence of data in every aspect of life in modern society makes it critical that students are given experiences investigating real issues with real data. Our research question was as follows: In what ways can mathematical action technology used with a real-world context involving the wage gap contribute to students' sense of identity and…
Descriptors: Mathematics Education, Technology Uses in Education, Relevance (Education), Salary Wage Differentials
Advance CTE: State Leaders Connecting Learning to Work, 2022
Early postsecondary opportunities (EPSOs) provide more than 5.5 million secondary learners annually an intentionally designed authentic postsecondary experience (such as dual or concurrent enrollment) leading to college credit that counts toward a recognized postsecondary degree or credential. Career Technical Education (CTE) courses make up…
Descriptors: Vocational Education, Postsecondary Education, Secondary School Students, Dual Enrollment
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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
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C. J. Appleton; Dara Shifrer; Cesar J. Rebellon – Journal of Early Adolescence, 2024
The literature linking adulthood criminality to cumulative disadvantage and early school misbehavior demonstrates that understanding the mechanisms underlying student behavior and the responses of teachers and administrators is crucial in comprehending racial/ethnic disparities in actual or perceived school misbehavior. We use data on 19,160 ninth…
Descriptors: Data Use, Racial Differences, Behavior Problems, Student Behavior
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Davis, Bradley; Anderson, Erin – Journal of Educational Administration, 2021
Purpose: The authors demonstrate the usage of data visualization for conveying educational administration research, with a specific focus on differential principal turnover. They model when and how principals move, over time, between six categories of turnover. Design/methodology/approach: The authors construct several easy-to-interpret alluvial…
Descriptors: Labor Turnover, Principals, Persistence, Administrator Characteristics
Winters, John V. – Thomas B. Fordham Institute, 2020
This study examines how the "college earnings premium" (CEP)--the difference in average earnings between workers with and without college education--varies across the United States. Specifically, it compares across cities, states, and rural areas the mean earnings of workers with bachelor's degrees to those with associate degrees, with…
Descriptors: College Graduates, Income, Education Work Relationship, Geographic Location
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Ohio Department of Education, 2021
For the second consecutive school year, Ohio's students and adults faced unique and challenging circumstances because of the ongoing global pandemic. The information in this report card reflects these teaching and learning conditions and should be reviewed while considering the resulting disruptions that, in many cases, affected students'…
Descriptors: COVID-19, Pandemics, Report Cards, Academic Achievement
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Tiu, Georgianne F.; Leroy, Zanie C.; Lee, Sarah M.; Maughan, Erin D.; Brener, Nancy D. – Journal of School Nursing, 2021
It is unknown how health services staff (school nurse or school physician) or school characteristics are associated with the number of services provided for chronic health conditions in schools. Using data from the 2014 School Health Policies and Practices Study, four services (identification or school-based management, tracking, case management,…
Descriptors: School Health Services, Chronic Illness, Access to Health Care, School Nurses
Chang, Hedy N.; Gee, Kevin; Hennessy, Briana; Alexandro, David; Gopalakrishnan, Ajit – Attendance Works, 2021
This report describes how Connecticut took steps to collect consistent attendance data by learning mode -- remote, in-person and hybrid -- and publicly released data in a timely manner during the pandemic. For example, the Connecticut State Department of Education (CSDE) agreed upon a standard definition of attendance -- showing up to school for…
Descriptors: Attendance, COVID-19, Pandemics, Data Collection
US Senate, 2023
Data shows that kids are months or even years behind where they would be in a typical year. And a deepening educational divide between majority white schools and majority black schools, between wealthier school districts and higher poverty districts. The results of this year's statewide exams made abundantly clear what other data is showing as…
Descriptors: Hearings, Best Practices, Achievement Gap, Racial Differences
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Kanim, Stephen; Cid, Ximena C. – Physical Review Physics Education Research, 2020
Is physics education research based on a representative sample of students? To answer this question we skimmed physics education research papers from three journals for the years 1970-2015 looking for the number of research subjects, the course the subjects were enrolled in, and the institution where the research was conducted. We combined this…
Descriptors: Physics, Science Education, Educational Research, Demography
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Hanson, Stephen José; Saunders, Stephanie; Aponte, Arcelio; Copeland, Robert; Nettles, Michael – ETS Research Report Series, 2020
The academic achievement gap is a persistent and pernicious educational challenge confounded with race and socioeconomic status. The achievement gap persists despite over three decades of interventions and federal, state, and local policies and initiatives meant to close it. We examine the achievement gap in one of the most diverse states in the…
Descriptors: Achievement Gap, Racial Differences, Ethnicity, Socioeconomic Status
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