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Peer reviewed
Direct linkAmanda Barany; Andi Danielle Scarola; Alex Acquah; Sayed Mohsin Reza; Michael A. Johnson; Justice Walker – Information and Learning Sciences, 2024
Purpose: There is a need for precollege learning designs that empower youth to be epistemic agents in contexts that intersect burgeoning areas of computing, big data and social media. The purpose of this study is to explore how "sandbox" or open-inquiry data science with social media supports learning. Design/methodology/approach: This…
Descriptors: Student Empowerment, Data Science, Social Media, Open Education
William McHenry – Journal of Management Education, 2024
The prevalent paradigm for understanding what constitutes a 'good' data visualization, and what we are likely teaching business students, relates to a conventional wisdom of efficiency, clarity, transparency, and faithful representation of truth. Teaching about the ethics of visualizations seems to be largely absent from business school curricula.…
Descriptors: Ethics, Management Development, Business Administration Education, Visual Aids
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
Download full textEdChoice, 2024
This poll was conducted between April 4-8, 2024 among a sample of 2,257 Adults. The interviews were conducted online and the data were weighted to approximate a target sample of Adults based on gender, educational attainment, age, race, and region. Results based on the full survey have a measure of precision of plus or minus 2.41 percentage…
Descriptors: Public Opinion, Parents, Parent Attitudes, Elementary Secondary Education
Carl-Henrik Adolfsson; Jan Håkansson – Research in Educational Administration & Leadership, 2024
In recent decades, there has been a growing body of research that highlights local education authorities (LEA) as potential contributors to support school capacity building and result development. Despite this, there are few empirical studies that have explored what effects different strategies and policy actions from the LEAs actual have over…
Descriptors: Capacity Building, School Districts, Time Perspective, Educational Policy
Jojo Manai; Jeremy Roschelle – Digital Promise, 2024
In every school, dedicated teachers strive to support their students' unique learning journeys. Imagine a classroom where potential challenges are quickly identified and met with precise interventions. Imagine a school or school district where the many potential ways to solve problems can be quickly tested, and the best solutions rapidly scaled up…
Descriptors: Technology Uses in Education, Problem Solving, Data, Researchers
Webb, Sara Jane; Bernier, Raphael; Henderson, Heather A.; Johnson, Mark H.; Jones, Emily J. H.; Lerner, Matthew D.; McPartland, James C.; Nelson, Charles A.; Rojas, Donald C.; Townsend, Jeanne; Westerfield, Marissa – Journal of Autism and Developmental Disorders, 2015
The EEG reflects the activation of large populations of neurons that act in synchrony and propagate to the scalp surface. This activity reflects both the brain's background electrical activity and when the brain is being challenged by a task. Despite strong theoretical and methodological arguments for the use of EEG in understanding the…
Descriptors: Autism, Brain, Medicine, Data Collection
Banks, Kathleen – Practical Assessment, Research & Evaluation, 2015
This article introduces practitioners and researchers to the topic of missing data in the context of differential item functioning (DIF), reviews the current literature on the issue, discusses implications of the review, and offers suggestions for future research. A total of nine studies were reviewed. All of these studies determined what effect…
Descriptors: Test Bias, Data, Literature Reviews, Evaluation Research
Nathan A. Quarderer; Leah Wasser; Anne U. Gold; Patricia Montaño; Lauren Herwehe; Katherine Halama; Emily Biggane; Jessica Logan; David Parr; Sylvia Brady; James Sanovia; Charles Jason Tinant; Elisha Yellow Thunder; Justina White Eyes; LaShell Poor Bear/Bagola; Madison Phelps; Trey Orion Phelps; Brett Alberts; Michela Johnson; Nathan Korinek; William Travis; Naomi Jacquez; Kaiea Rohlehr; Emily Ward; Elsa Culler; R. Chelsea Nagy; Jennifer Balch – Journal of Statistics and Data Science Education, 2025
Today's data-driven world requires earth and environmental scientists to have skills at the intersection of domain and data science. These skills are imperative to harness information contained in a growing volume of complex data to solve the world's most pressing environmental challenges. Despite the importance of these skills, Earth and…
Descriptors: Electronic Learning, Earth Science, Environmental Education, Science Education
Office of Educational Technology, US Department of Education, 2025
As outlined in the 2024 National Educational Technology Plan, digital health, safety, and citizenship skills reflect the full set of knowledge and habits students need to use technology appropriately, responsibly, and safely. For schools and districts, creating the conditions for those skills to develop includes policies regulating the use of…
Descriptors: Computer Use, Technology Uses in Education, Safety, Student Responsibility
Christopher H. Tienken; Jennifer Timmer; Li Kang; Sean Cronin; Tara Thomas; Ryan Gorman; Elizabeth Nunez – AASA, The School Superintendent's Association, 2025
The 2024-2025 AASA Superintendent Salary & Benefits Study marks the thirteenth consecutive edition of this report. The national survey tracked the demographics, salary, benefits, and other elements of the employment agreements of school superintendents throughout the country. This year's study results are based on 2,077 complete responses. The…
Descriptors: Superintendents, National Surveys, Fringe Benefits, Administrator Surveys
Emma Shanahan; Seohyeon Choi; Jechun An; Bess Casey-Wilke; Seyma Birinci; Caroline Roberts; Emily Reno – Grantee Submission, 2025
Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…
Descriptors: Data Use, Individualized Instruction, Learning Problems, Students with Disabilities
Emma Shanahan; Seohyeon Choi; Jechun An; Bess Casey-Wilke; Seyma Birinci; Caroline Roberts; Emily Reno – Journal of Learning Disabilities, 2025
Although data-based individualization (DBI) has positive effects on learning outcomes for students with learning difficulties, this framework can be difficult for teachers to implement due to its complexity and contextual barriers. The first aim of this synthesis was to investigate the effects of ongoing professional development (PD) support for…
Descriptors: Data Use, Individualized Instruction, Learning Problems, Students with Disabilities
Stanislav Pozdniakov; Roberto Martinez-Maldonado; Yi-Shan Tsai; Vanessa Echeverria; Zachari Swiecki; Dragan Gaševic – Journal of Learning Analytics, 2025
Recent research on learning analytics dashboards has focused on designing user interfaces that offer various forms of "visualization guidance" (often referring to notions such as "data storytelling" or "narrative visualization") to teachers (e.g., emphasizing data points or trends with colour and adding annotations),…
Descriptors: Visual Aids, Learning Analytics, Technological Literacy, Pedagogical Content Knowledge
Burda, Brittany U.; O'Connor, Elizabeth A.; Webber, Elizabeth M.; Redmond, Nadia; Perdue, Leslie A. – Research Synthesis Methods, 2017
Background: Systematic reviewers often encounter incomplete or missing data, and the information desired may be difficult to obtain from a study author. Thus, systematic reviewers may have to resort to estimating data from figures with little or no raw data in a study's corresponding text or tables. Methods: We discuss a case study in which…
Descriptors: Computer Software, Internet, Literature Reviews, Data Analysis
