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Campbell-Montalvo, Rebecca A. – Race, Ethnicity and Education, 2020
In this study on K-12 schools in the U.S. Florida Heartland, I take a QuantCrit approach to uncover how processes of data transformation, which I call 'racial re-formation', shape the utilization and reporting of racial and ethnic representations of students. To understand actual data use at schools, I apply QuantCrit's principles on how numbers…
Descriptors: Elementary Secondary Education, School Demography, Race, Ethnicity
Danley, Angela J. – SRATE Journal, 2020
Preparing teacher candidates to analyze achievement data is necessary to develop the understanding of how academic data is collected and used to inform instruction. Collecting achievement data in the area of literacy includes a variety of assessments focused on reading and writing. A critical component of analyzing data involves working in…
Descriptors: Preservice Teachers, Literacy, Data Analysis, Data Use
Tyre, Ashli; Feuerborn, Laura; Beaudoin, Kathleen; Bruce, Jillian – Journal of Positive Behavior Interventions, 2020
Following a review of the literature to identify core principles of schoolwide positive behavior interventions and supports (SWPBIS), this study employed coding methods to examine teacher concerns as expressed in their responses to an open-ended probe in five middle schools. Teachers in all schools expressed concerns for their colleagues' support…
Descriptors: Middle School Teachers, Positive Behavior Supports, Teacher Attitudes, Program Implementation
Data Quality Campaign, 2020
This year saw unprecedented disruptions to schools and to students' lives across the country. With a global pandemic shutting school doors, causing economic instability, and highlighting the impact of systemic racism, policymakers and education leaders are looking to data to help them respond and recover. The Data Quality Campaign's 2020 research…
Descriptors: Data Use, Data Collection, COVID-19, Pandemics
Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
Lam, Livia – Center for American Progress, 2020
Building on the Center for American Progress' workforce equity framework, which proposes creating and filling quality jobs with career options for all workers, this report proposes changing workforce accountability standards in order to drive labor markets toward quality job creation. It argues for restructuring workforce accountability from its…
Descriptors: Quality of Working Life, Accountability, Labor Force Development, Well Being
Marion, S. F.; Gonzales, D.; Wiener, R.; Peltzman, A. – National Center for the Improvement of Educational Assessment, 2020
State policymakers are confronting well-documented intersecting crises -- medical, economic, and racial -- with especially dire implications for educational equity. State education leaders face a moral urgency to both understand and respond to the challenges students are experiencing and to do so in ways that address burgeoning equity gaps.…
Descriptors: State Policy, Educational Opportunities, Program Evaluation, Summative Evaluation
Eryn Y. Van Acker – ProQuest LLC, 2020
Restraint and seclusion are two crisis intervention practices that educators employ to manage students who display escalated behavior. These procedures, however, are high-risk, intensive practices that have resulted in psychological trauma, physical injury, and even death. While there are no federal laws in place on this topic, the U.S. Department…
Descriptors: Data Use, Decision Making, Intervention, Student Behavior
Marguerite Roza; Lucy Hadley; Hannah Jarmolowski – National Comprehensive Center, 2020
Our nation spends approximately $650 billion per year on our K-12 education system. To understand how those dollars impact students, we need to examine spending where it reaches them: at the school level. The document, developed by the National Center, describes a national data archive that uses all elements of Interstate Financial Reporting (IFR)…
Descriptors: Educational Finance, Expenditure per Student, Elementary Secondary Education, Archives
Simms, Kathryn – Journal of Instructional Pedagogies, 2021
This study takes a step toward using data-driven instruction (i.e., using data to guide instructional choices) in the accounting classroom: Evaluating which students are most likely to struggle in the first course of accounting. More specifically, it evaluates the correlations between four constructs (i.e., academic background, grit, attendance,…
Descriptors: Data Use, Decision Making, Introductory Courses, Accounting
Vaughn, Kehaulani; Saelua, Natasha; Taione-Filihia, 'Asena – About Campus, 2021
Pacific Islanders (PI) continue to be underrepresented in all sectors of higher education, including students, staff, and faculty. For example, data from the 2010 Census reveals that less than 20 percent, or one fifth, of Pacific Islander adults aged 25 or older hold a bachelor's degree (EPIC & AAJC, 2014). These data point to an urgent need…
Descriptors: Pacific Americans, Inclusion, Higher Education, Cultural Maintenance
Davidesco, Ido; Matuk, Camillia; Bevilacqua, Dana; Poeppel, David; Dikker, Suzanne – Educational Researcher, 2021
Cognitive neuroscience research is typically conducted in controlled laboratory environments and therefore its contribution to our understanding of learning in real-world environments is limited. In recent years, however, portable and wearable brain devices have become more readily available for classroom-based research. Complementing existing…
Descriptors: Privacy, Neurosciences, Brain Hemisphere Functions, Teaching Methods
Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning
Jose Manuel DeJesus – ProQuest LLC, 2021
Background: The problem of practice at Coronado Elementary School is the inconsistency of effective collaborative planning among the grade level teams. Purpose: This action research study aimed to determine teachers' perceptions of Professional Learning Communities and how they believed participation in a PLC impacts their professional development…
Descriptors: Communities of Practice, Achievement, Federal Programs, Low Income
Rebecca Wolf; Joseph M. Reilly; Steven M. Ross – Journal of Research in Innovative Teaching & Learning, 2021
Purpose: This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for…
Descriptors: Data Use, Decision Making, Teacher Attitudes, Journal Articles

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