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Korkmaz, Elif; Morali, Hasibe Sevgi – International Electronic Journal of Mathematics Education, 2022
Augmented reality (AR) helps three dimensional, virtual objects to be viewed, interactively, in a real-world setting. AR technology is used in many fields such as medicine, advertisement, military, industry, and increasingly in education. AR has an importantrole in concretizing educational platforms and achieving permanentlearning. This study aims…
Descriptors: Meta Analysis, Computer Simulation, Electronic Learning, Mathematics Education
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Leventhal, Brian C.; Gregg, Nikole; Ames, Allison J. – Measurement: Interdisciplinary Research and Perspectives, 2022
Response styles introduce construct-irrelevant variance as a result of respondents systematically responding to Likert-type items regardless of content. Methods to account for response styles through data analysis as well as approaches to mitigating the effects of response styles during data collection have been well-documented. Recent approaches…
Descriptors: Response Style (Tests), Item Response Theory, Test Items, Likert Scales
Chang, Hedy N. – Attendance Works, 2022
This brief examines how state policies and practices continue to evolve in light of the COVID-19 pandemic. It is based on data provided by 45 states plus the District of Columbia as of early May 2022. The brief updates our 2021 report, "Are Students Present and Accounted For? An Examination of State Attendance Policies During the COVID-19…
Descriptors: Attendance, State Policy, COVID-19, Pandemics
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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
Grantee Submission, 2022
Systems for learning and producing knowledge, such as career and technical education (CTE), often reproduce inequities unless an equity-focused lens is used when designing, implementing, and evaluating programs. This framework presents guidance for conducting CTE research with an intentional focus on equity. Developed by the CTE Research Network's…
Descriptors: Equal Education, Vocational Education, Educational Research, Program Administration
Daniel Rodriguez-Segura; Beth E. Schueler – Annenberg Institute for School Reform at Brown University, 2022
A significant share of education and development research uses data collected by workers called "enumerators." It is well-documented that "enumerator effects"--or inconsistent practices between the individual people who administer measurement tools-- can be a key source of error in survey data collection. However, it is less…
Descriptors: Data Collection, Educational Research, Research Problems, Elementary School Students
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Gregory De La Piedra – Dimensions, 2025
Free listing tasks are a common data collection method used by cultural anthropologists, language historians and linguists (Nolan, 2002; Ryan et al., 2000; Weller & Romney, 1988; Wolfram & Schillings-Estes, 1998). These tasks are interviews in which a researcher asks groups of respondents to list words or expressions that come to mind for…
Descriptors: Foreign Countries, Adults, Data Collection, Anthropology
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Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Center for IDEA Early Childhood Data Systems (DaSy), 2025
The purpose of this brief is to increase states' awareness of national data resources that can support states in sharing, linking, integrating, and using data on young children with disabilities to enhance the provision of early intervention (EI) and early childhood special education (ECSE) services. The audience for this brief includes states'…
Descriptors: Students with Disabilities, Young Children, Early Intervention, Data
Claire Abbott; Michael DeArmond; Dan Goldhaber; Hannah Putman – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2025
This report examines how states can use their Statewide Longitudinal Data Systems (SLDS) to better understand their teacher supply problems and assess initiatives designed to address them. It emphasizes two key actions: connecting existing data and collecting new data on the prospective workforce. Using research and real-world examples from four…
Descriptors: Teacher Supply and Demand, Data Use, Longitudinal Studies, Data Collection
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Sarah Rich; Jerad Koepp – Journal of School Administration Research and Development, 2025
The prevalence of data use in education requires researchers to critically examine data-collection practices that could inform, obscure, or omit accurate representations of students. Thus, an innovative approach to accurate demographic collection and reporting can enable school districts to more accurately count and represent American…
Descriptors: Decolonization, Inclusion, American Indian Students, Alaska Natives
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Collin Shepley; Anthony Setari; Amanda Leigh Duncan; Emily Webb – Assessment for Effective Intervention, 2025
Ongoing professional development is a critical component of high-quality early childhood education systems. To guide the content of such professional development, teacher and classroom quality assessments are often used. These assessments generally address universal or tier 1 instruction but omit information to guide teachers' practices to support…
Descriptors: Test Validity, Computer Assisted Testing, Teacher Evaluation, Performance Based Assessment
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Øydis Hide; Dagrun Slettebø Daltveit; Åse Sivertsen; Anne Katherine Hvistendahl; Randi Lovise Kjerstad; Marit Berntsen Kvinnsland; Nina Helen Pedersen; Christina Sørensen – International Journal of Language & Communication Disorders, 2025
Background: Cleft lip and palate (CLP) treatment in Norway is centralized and multidisciplinary, with long-term follow-up from birth to adulthood. The Norwegian Registry of Cleft Lip and Palate was established to ensure high-quality care and enable systematic data collection. Speech data are a key component, assessed by speech--language therapists…
Descriptors: Foreign Countries, Validity, Reliability, Data Collection
Díaz, Victoria E.; McKeown, Stephanie; Peña, Camilo – British Columbia Council on Admissions and Transfer, 2023
This project reviews data collection practices regarding race, ethnicity and ancestry (REA) in post-secondary institutions (PSIs) in Canada, as well as in other relevant sectors (e.g., health, K-12 education, government agencies). The goal of the project was to identify promising practices and to develop recommendations to guide REA data…
Descriptors: Data Collection, Data Use, Student Characteristics, Race
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Rouse, Sharon E.; Jones, Rose; Cleveland, Jonnie – Journal of the American Academy of Special Education Professionals, 2023
This study is on data-gathering software for special teachers in local education agencies Grades K-14. Increasing pressure for the use of accountability to follow the effectiveness of meeting educational standards has caused schools to reassess methods of using data and the core technologies surrounding its collection. The amount of data…
Descriptors: Computer Software, Computer Uses in Education, Data Collection, Educational Improvement
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