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Download full textMeholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection
Cox, Shawna; Gilary, Aaron; Simon, Dillon; Thomas, Teresa – National Center for Education Statistics, 2022
The National Center for Education Statistics (NCES) sponsors the National Teacher and Principal Survey (NTPS) on behalf of the U.S. Department of Education in order to collect data on public and private elementary and secondary schools in the United States. The NTPS is a large-scale, nationally representative sample survey of K-12 public and…
Descriptors: Teachers, Principals, Elementary Secondary Education, Administrators
Region 14 Comprehensive Center, 2023
Billions in federal COVID-19 relief funds poured into Louisiana schools between 2021 and 2024. But how were systems using the funds? Beginning in 2022, the Louisiana Department of Education partnered with the Region 14 Comprehensive Center to design a groundbreaking fiscal data visualization solution--EPIC (Education Progress and Investment…
Descriptors: Funding Formulas, Visual Aids, Elementary Secondary Education, Partnerships in Education
Shawna Cox; Aaron Gilary; Svetlana Mosina; Jennifer Rhea; Dillon Simon; Teresa Thomas; Chenping Zhang; Maura Spiegelman – National Center for Education Statistics, 2024
The National Center for Education Statistics (NCES) sponsors the National Teacher and Principal Survey (NTPS) on behalf of the U.S. Department of Education in order to collect data on public and private schools, principals, and teachers in the United States. The U.S. Census Bureau conducts the survey for NCES. The NTPS provides data on the…
Descriptors: Teachers, Principals, Elementary Secondary Education, Administrators
Franck Salles; Aurélie Lacroix – International Association for the Evaluation of Educational Achievement, 2024
Digital technologies have the potential to revolutionize education by enhancing quality, fairness, and efficiency. However, equitable access to these technologies remains a challenge. ILSAs (international large-scale assessments) have shown that the relationship between digital use and performance varies across countries and over time. To fully…
Descriptors: Achievement Tests, Elementary Secondary Education, Foreign Countries, Mathematics Tests
Jackson, Michael; Diliberti, Melissa; Kemp, Jana; Hummel, Steven; Cox, Christina; Gbondo-Tugbawa, Komba; Simon, Dillon – National Center for Education Statistics, 2018
The School Survey on Crime and Safety (SSOCS) is managed by the National Center for Education Statistics (NCES) within the Institute of Education Sciences of the U.S. Department of Education. SSOCS collects extensive crime and safety data from principals and administrators of public schools in the United States. Data from this collection can be…
Descriptors: School Surveys, Crime, School Safety, Public Schools
Osborne, Kristen; Fowler, Craig; Circelli, Michelle – National Centre for Vocational Education Research (NCVER), 2018
This discussion paper explores the possibilities and risks that data linkage presents for the vocational education and training (VET) sector. Along with a broad overview of the nature of data linkage, it highlights possible applications for data linkage in the VET sector and examines the key challenges associated with its use. A number of case…
Descriptors: Vocational Education, Data Processing, Educational Research, Information Networks
Cox, Shawna; Parmer, Randall; Strizek, Gregory; Thomas, Teresa – National Center for Education Statistics, 2017
The overall objective of the Schools and Staffing Survey (SASS) is to collect the information necessary for a comprehensive picture of elementary and secondary education in the United States. The abundance of data collected permits detailed analyses of the characteristics of schools, principals, teachers, school libraries, and public school…
Descriptors: National Surveys, Elementary Secondary Education, Questionnaires, Public Schools
Saarela, Mirka; Kärkkäinen, Tommi – International Educational Data Mining Society, 2015
Certain stereotypes can be associated with people from different countries. For example, the Italians are expected to be emotional, the Germans functional, and the Chinese hard-working. In this study, we cluster all 15-year-old students representing the 68 different nations and territories that participated in the latest Programme for…
Descriptors: Weighted Scores, Stereotypes, Standardized Tests, Student Characteristics
Direct linkLuterbach, Kenneth J. – Educational Technology, 2013
Educational technologists may advance the state of the field by increasing capacity to develop software tools and instructional applications. Presently, few academic programs in educational technology require even a single computer programming course. Further, the educational technologists who develop software generally work independently or in…
Descriptors: Computer Software, Educational Technology, Programming, Capacity Building
Data Quality Campaign, 2014
This publication provides an overview of the current federal opportunities to help states advance their data-related activities. Although not exhaustive, this list provides a starting point for federal policymakers to support states' work in this area.
Descriptors: Federal Aid, Data Collection, Data Processing, Information Management
Zhuang, Jie; Chen, Peijie; Wang, Chao; Huang, Liang; Zhu, Zheng; Zhang, Wenjie; Fan, Xiang – Research Quarterly for Exercise and Sport, 2013
Purpose: The purpose of this study was to investigate the characteristics of missing physical activity (PA) data of children and youth. Method: PA data from the Chinese City Children and Youth Physical Activity Study ("N" = 2,758; 1,438 boys and 1,320 girls; aged 9-17 years old) were used for the study. After the data were sorted by the…
Descriptors: Physical Activities, Error of Measurement, Statistical Data, Gender Differences
Dutta, Pratima – Educational Technology, 2014
The Bloomington Project School (BPS) is a charter school that has successfully adopted and implemented several learner-centered educational strategies. This case study offers a glimpse into its student-centered, collaborative, and interdisciplinary learning and teaching processes; its mastery-based assessment process; and its successful technology…
Descriptors: Educational Strategies, Student Centered Curriculum, Program Implementation, Charter Schools
Nord, C.; Hicks, L.; Hoover, K.; Jones, M.; Lin, A.; Lyons, M.; Perkins, R.; Roey, S.; Rust, K.; Sickles, D. – National Center for Education Statistics, 2011
This user's guide documents the procedures used to collect, process, and summarize data from the 2009 High School Transcript Study (HSTS 2009). Chapters detail the sampling of schools and graduates (chapters 2 and 3), data collection procedures (chapter 4), data processing procedures (chapter 5), and weighting procedures (chapter 6). Chapter 7…
Descriptors: High School Graduates, Academic Records, National Competency Tests, Questionnaires
Koyama, Jill P. – Journal of Education Policy, 2011
This article ethnographically examines the ways in which No Child Left Behind (NCLB) links local practices to the centralized processing of data through its narrowing of procedures and measurements aimed at accountability. Framed by actor-network theory, it draws upon data consistently collected between June 2005 and October 2008, and then…
Descriptors: Federal Legislation, Ethnography, Accountability, Data Collection
