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Haywoode, Alyssa – Phi Delta Kappan, 2018
Community schools have a long history of helping students succeed in school by addressing the problems they face outside of school. But without specific data on students and the full range of their needs, community schools cannot be as effective as they would like to be. Driven by the desire to make more data-informed decisions, the Children's Aid…
Descriptors: Community Schools, Data, Decision Making, Partnerships in Education
Hartong, Sigrid – Critical Studies in Education, 2021
This contribution takes a critical perspective on digital school performance platforms (SPP), which today play a key role in US state education monitoring and accountability. Using examples from two different US state education agencies, I provide an analytical disentanglement of some key dimensions of such platforms' enactment and materiality. I…
Descriptors: State Departments of Education, Technology Uses in Education, Performance, Accountability
Elçiçek, Mithat – Journal of Educational Technology and Online Learning, 2021
This study examines the tendencies in Turkey-based scientific articles related to distance education during the COVID-19 pandemic. In this qualitative study, content analysis and categorical analysis were used. The population of the study is comprised of Turkey-based academic studies on distance education while the sample consists of 125…
Descriptors: Foreign Countries, Distance Education, COVID-19, Pandemics
Williamson, Ben – Journal of Education Policy, 2021
Psychology and economics are powerful sources of expert knowledge in contemporary governance. Social and emotional learning (SEL) is becoming a priority in education policy in many parts of the world. Based on the enumeration of students' 'noncognitive' skills, SEL consists of a 'psycho-economic' combination of psychometrics with economic…
Descriptors: Social Emotional Learning, Data Collection, Data Use, Educational Policy
St. John, Victor; Gabriel, Alexander – National Technical Assistance Center for the Education of Neglected or Delinquent Children and Youth (NDTAC), 2021
The primary purpose of Title 1, Part D programs is to improve the educational outcomes for youth who are categorized as "neglected" (n), "delinquent" (d), or at-risk under the statute. This brief is designed to help State Coordinators, grantees involved in data collection or analyses, and personnel involved in the design of…
Descriptors: Elementary Secondary Education, Federal Legislation, Educational Legislation, At Risk Students
Attendance Works, 2021
States have an essential guiding role in the collection and use of attendance data. State guidance ensures that attendance is taken daily in a consistent manner and is monitored to detect and address inequitable access to learning opportunities. The recent shift to distance and blended learning as a result of the coronavirus pandemic disrupted the…
Descriptors: Attendance, Data Collection, State Government, Government Role
Bostic, Jonathan David – Applied Measurement in Education, 2021
Think alouds are valuable tools for academicians, test developers, and practitioners as they provide a unique window into a respondent's thinking during an assessment. The purpose of this special issue is to highlight novel ways to use think alouds as a means to gather evidence about respondents' thinking. An intended outcome from this special…
Descriptors: Protocol Analysis, Cognitive Processes, Data Collection, STEM Education
Wind, Stefanie A.; Ge, Yuan – Educational and Psychological Measurement, 2021
Practical constraints in rater-mediated assessments limit the availability of complete data. Instead, most scoring procedures include one or two ratings for each performance, with overlapping performances across raters or linking sets of multiple-choice items to facilitate model estimation. These incomplete scoring designs present challenges for…
Descriptors: Evaluators, Scoring, Data Collection, Design
Ford, Karly S.; Rosinger, Kelly O.; Choi, Junghee; Pulido, Gabriel – Educational Researcher, 2021
Many postsecondary datasets collect gender data in ways that are not inclusive of all students. Many trans* students, those who identify as trans women, trans men, genderqueer, among other gender identities, are excluded when surveys collect gender data using only two categories. The American Bar Association recently became the first sector of…
Descriptors: Sexual Identity, LGBTQ People, Data Collection, College Students
Perea Martins, J. E. M. – Physics Education, 2021
This work presents two electronic systems experiments with resonance tubes, which generate automatically a sequence of several sound wave frequencies in a range defined by the user and then verifies the amplitude of each one in real-time, allowing for the immediate data visualization in a graph. Besides, they save all the frequency values and the…
Descriptors: Design, Electronics, Laboratory Experiments, Acoustics
Knekta, Eva; Runyon, Christopher; Eddy, Sarah – CBE - Life Sciences Education, 2019
Across all sciences, the quality of measurements is important. Survey measurements are only appropriate for use when researchers have validity evidence within their particular context. Yet, this step is frequently skipped or is not reported in educational research. This article briefly reviews the aspects of validity that researchers should…
Descriptors: Factor Analysis, Surveys, Data Collection, Research Methodology
McChesney, Katrina; Aldridge, Jill – International Journal of Research & Method in Education, 2019
A recurring debate in mixed methods research involves the relationship between research methods and research paradigms. Whereas some scholars appear to assume that qualitative and quantitative research methods each necessarily belong with particular research paradigms, others have called for greater flexibility and have taken a variety of stances…
Descriptors: Mixed Methods Research, Models, Research Design, Data Collection
Kegler, Michelle C.; Raskind, Ilana G.; Comeau, Dawn L.; Griffith, Derek M.; Cooper, Hannah L. F.; Shelton, Rachel C. – Health Education & Behavior, 2019
Qualitative methods help us understand context, explore new phenomena, identify new research questions, and uncover new models of change. To better understand how researchers in health education and health behavior use qualitative methods, we reviewed qualitative articles published in "Health Education & Behavior" from 2000 to 2015.…
Descriptors: Periodicals, Qualitative Research, Research Design, Inquiry
Cornman, Stephen Q.; Reynolds, David; Zhou, Lei; Ampadu, Osei; D'Antonio, Laura; Gromos, David; Howell, Malia; Wheeler, Stephen – National Center for Education Statistics, 2019
High demand exists for data to analyze the equitable distribution of school funding within and across school districts. In response to this growing demand, the National Center for Education Statistics (NCES) developed a new collection of finance data at the school level--the School-Level Finance Survey (SLFS). The SLFS collects at the school level…
Descriptors: Educational Finance, Data Collection, Feasibility Studies, Elementary Secondary Education
von Zastrow, Claus; Perez, Zeke, Jr. – Education Commission of the States, 2019
This 50-State Comparison assesses the capacity of all 50 states and the District of Columbia to aggregate and report on arts education data already housed in statewide education data systems. This interactive resource focuses on key arts education questions identified in "Using State Data Systems to Report Information on Arts Education"…
Descriptors: Art Education, Data Collection, Data Analysis, School Catalogs

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