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Cary K. Jim; Yvonne Dooley – Journal of Electronic Resources Librarianship, 2024
Digital disparities have been a concern among different communities across the U.S. The lack of an integrated approach to evaluate digital connectivity limits our understanding of where and what the differences are to address digital equity. This research utilized broadband internet open data and other government datasets to evaluate the status of…
Descriptors: Telecommunications, Internet, Access to Computers, Geographic Location
Jonathan Seiden; Emily Hanno; Luke Miratrix; Thu Pham; Stephanie Jones; Nonie Lesaux – Society for Research on Educational Effectiveness, 2022
Background/Context: Quality in early education and care (ECE) programs is often conceived as a combination of structural features such as class size and teacher qualification and process features related to the interactions between and within children and adults in the care setting (Hanno et al., 2021; Howes et al., 2008). From a theoretical…
Descriptors: Educational Quality, Early Childhood Education, Outcomes of Education, Data Analysis
Meng Li – Mathematics Education Research Group of Australasia, 2024
The profound advancements in technology have rendered novel forms of data and data visualisation increasingly accessible to individuals within society, thereby influencing daily decision-making processes. To address this change, this study sets out to review recent research on data-driven inquiries at the K-12 level from two perspectives:…
Descriptors: Visual Aids, Data Analysis, Mathematics Instruction, Statistics Education
Sara Gable; Afiah Mohd Fozi – Early Childhood Education Journal, 2024
State Early Learning Standards (ELS) are multi-function tools that inform early childhood instruction and practices. Using an established framework of early numerical development, this study assessed the prevalence of number, number relations, and number operations indicators in ELS, specifically indicators of counting, numeral knowledge,…
Descriptors: State Standards, Early Childhood Education, Arithmetic, Number Concepts
Tonya Stewart-Magee – ProQuest LLC, 2024
This quantitative, causal-comparative study aims to examine the academic performance of all third-grade students who participated in after-school tutoring from English Language Arts (ELA) in comparison to those who did not, using the results from the 2022-2023 Mississippi Academic Assessment Program English Language Arts (MAAP ELA) assessment. The…
Descriptors: Grade 3, Elementary School Students, Tutoring, Language Arts
Turner, Kyle T.; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2023
The purpose of this study is to illustrate the use of functional data analysis (FDA) as a general methodology for analyzing person response functions (PRFs). Applications of FDA to psychometrics have included the estimation of item response functions and latent distributions, as well as differential item functioning. Although FDA has been…
Descriptors: Data Analysis, Item Response Theory, Psychometrics, Statistical Distributions
Karen Thorpe; Narayan Panthi; Sandra Houen; Marcus Horwood; Sally Staton – Australian Educational Researcher, 2024
In response to a workforce crisis, Australia's early childhood education and care workforce strategy for the next decade, "Shaping our Future," was released in September 2021. This strategy was developed through a three-stage, 'top-down' process in which open consultation on pre-defined strategies was the final stage. Analysing data from…
Descriptors: Early Childhood Teachers, Labor Economics, Foreign Countries, Data Analysis
Yun Du – International Journal of Web-Based Learning and Teaching Technologies, 2024
This paper deeply discusses the transformation potential of integrating Internet big data into the pre-school education model in colleges and universities. Through in-depth analysis, we studied the challenges and opportunities faced by preschool education in colleges and universities, and discussed the innovative influence of big data technology…
Descriptors: Educational Innovation, Preschool Education, Data Analysis, Data Collection
Shepley, Collin; Grisham-Brown, Jennifer; Lane, Justin D.; Ault, Melinda J. – Topics in Early Childhood Special Education, 2022
Progress-monitoring data collection is an essential skill for teachers serving children for whom the general curriculum is insufficient. As the field of early childhood education moves toward tiered service provision models, the importance of routine data collection is heightened. Therefore, we evaluated the effects of a training package on…
Descriptors: Early Childhood Education, Preschool Teachers, Teacher Behavior, Data Collection
Heikkilä, Mia; Schaeffer, Jennie Andersson – International Journal of Research & Method in Education, 2022
Preschool, understood as being both a physical and psychological environment, is, according to objectives in national curriculum, required to be inclusive for all those who attend it. Previous studies have identified the stereotypical norms of several everyday activities of preschools, including both interactions and premises. The aim of this…
Descriptors: Educational Research, Research Methodology, Preschool Education, Data Analysis
Education Trust-West, 2023
As California invests in early learning and care, the state is also moving forward with a long-overdue plan to build a statewide longitudinal data system (SLDS) -- known as the Cradle-to-Career (C2C) Data System -- which will eventually connect data over time and across sectors like education, health, human services, and the workforce. This is a…
Descriptors: Early Childhood Education, Child Care, Young Children, Access to Education
Meadows, Bryan; Conners, Brian – Kappa Delta Pi Record, 2021
While most research on restraint and seclusion use in K-12 schools focuses on the procedures with students with disabilities, the authors investigate its application to English learners and offer proactive steps for teachers.
Descriptors: English Language Learners, Discipline, Punishment, Social Isolation
Data Quality Campaign, 2023
Each year, state legislators introduce hundreds of bills that generate new data collections, analyses, and resources, playing a crucial role in how people access and use data. Notably, in 2023 legislators introduced and enacted bills governing cross-agency data systems--the most important step that states must take to make robust access to data…
Descriptors: Educational Legislation, Data Analysis, Data Collection, Access to Information
Office for Civil Rights, US Department of Education, 2023
The U.S. Department of Education's (ED) Office for Civil Rights (OCR) administers the Civil Rights Data Collection (CRDC), which is a mandatory survey of all public schools and school districts in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico. To support school districts' timely submission of accurate data, OCR takes steps…
Descriptors: National Surveys, Public Schools, School Districts, Federal Government
Lewis Presser, Ashley E.; Young, Jessica M.; Clements, Lindsay J.; Rosenfeld, Deborah; Cerrone, Michelle; Kook, Janna F.; Sherwood, Heather – Education Sciences, 2022
Data collection and analysis (DCA) skills apply mathematical knowledge, such as counting, sorting, and classifying, to investigations of real-world questions. This pursuit lays the foundation for learners to develop flexible problem-solving skills with data. This pilot study tested a preschool intervention intended to support teachers in promoting…
Descriptors: Preschool Children, Data Collection, Data Analysis, Pilot Projects