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An, Sohyun – Multicultural Perspectives, 2022
What should U.S. schools teach about U.S. actions abroad when students in the classroom have varied or conflicting memories, ideas, and experiences? Should schools teach the dominant narrative of U.S. benevolence and innocence in world affairs so as to instill patriotism in children? What kind of patriotism are we concerned with here? Or should…
Descriptors: Asian American Students, Elementary School Students, United States History, Educational Practices
Shapiro, Ben Rydal; Meng, Amanda; Rothschild, Annabel; Gilliam, Sierra; Garrett, Cicely; DiSalvo, Carl; DiSalvo, Betsy – Educational Technology & Society, 2022
Informed by critical data literacy efforts to promote social justice, this paper uses qualitative methods and data collected during two years of workplace ethnography to characterize the notion of critical novice data work. Specifically, we analyze everyday language used by novice data workers at DataWorks, an organization that trains and employs…
Descriptors: Data Analysis, Visual Aids, Novices, Work Environment
Davis, Leanne; Pocai, Jennifer; Taylor, Jason L.; Kauppila, Sheena A.; Rubin, Paul – Institute for Higher Education Policy, 2022
Higher education is the surest pathway to a better living and a better life. Yet, the goal of a valuable college credential goes unrealized for too many students, especially students of color and students from low-income backgrounds. Today, more than 36 million Americans have some college credit, but no awarded degree and, the COVID-19 pandemic…
Descriptors: Time to Degree, Capacity Building, Stopouts, Reentry Students
Krog, Hannah Anderson, Ed. – Bernan Press, 2022
This completely updated edition of "The Almanac of American Education" helps users understand and compare the quality of education at the national, state, and county levels. Compiled from official U.S. government sources, this book contains historical and current data, insightful analysis, and useful graphs that provide compelling…
Descriptors: Educational Quality, Geographic Location, Educational History, Data Analysis
Vilsack, Rachel; LaPrad, Jeannine – National Skills Coalition, 2022
Public data and accountability are key to an inclusive economic recovery. We need data on how different workers and businesses are faring in the recovery, so we can hold policymakers accountable to equitable outcomes for those most impacted. Disparities and inequities in skills training programs can only be eliminated if there is high-quality…
Descriptors: Economic Climate, Labor Force Development, Public Policy, Accountability
Tammy Kolbe; Elizabeth Dhuey; Sara Menlove Doutre – Annenberg Institute for School Reform at Brown University, 2022
The formula used to allocate federal funding for state and local special education programs is one of the Individual with Disabilities Act's most critical components. The formula not only serves as the primary mechanism for dividing available federal dollars among states, it also represents policymakers' intent to equalize educational…
Descriptors: Disability Discrimination, Educational Discrimination, Resource Allocation, Financial Support
Dong, Tianxi; Triche, Jason – Journal of Information Systems Education, 2020
The explosive growth of the data analytics field has continued over the past decade with no signs of slowing down. Given the fast pace of technology changes and the need for IT professionals to constantly keep up with the field, it is important to analyze the job skills and knowledge required in the data analyst and business intelligence (BI)…
Descriptors: Job Skills, Data Analysis, Information Technology, Job Applicants
Bezerra, Luis Naito Mendes; Silva, Márcia Terra – International Journal of Distance Education Technologies, 2020
In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…
Descriptors: Learning Analytics, Data Collection, Class Size, Online Courses
Edelstein, Jeffrey; Abbott, Jordan; Kimball, Ezekiel – Journal of Postsecondary Education and Disability, 2020
Disability-as-diagnosis, disability-as-identity, and disability-as-experience as pressing measurement issues in learning outcomes assessment are described in this paper. Disability represents a critically important latent variable in many learning outcomes assessment plans unless it is a formalized part of analytic plans. Noting the potential for…
Descriptors: Disabilities, Clinical Diagnosis, Identification (Psychology), Experience
Gage, Nicholas A.; Beahm, Lydia; Kaplan, Rachel; MacSuga-Gage, Ashley S.; Lee, Ahhyun – Beyond Behavior, 2020
The Positive Behavioral Interventions and Supports (PBIS) framework is currently implemented in more than 25,000 schools across the globe. Its implementation has demonstrated positive impacts on a number of behavioral and academic outcomes. A growing evidence base has found that PBIS has been particularly effective at reducing both in- and…
Descriptors: Student Behavior, Behavior Problems, Positive Behavior Supports, Intervention
Yurkofsky, Maxwell M. – Harvard Educational Review, 2020
After decades of accountability and market-based reforms in education, school systems are now organizing more around improving teaching and learning. Yet these efforts frequently yield unintended, superficial, or even counterproductive changes at the school level. In this article, Maxwell Yurkofsky develops the concept of technical ceremonies as a…
Descriptors: Educational Change, Teaching Methods, Data Use, School Administration
Ercikan, Kadriye; Guo, Hongwen; He, Qiwei – Educational Assessment, 2020
Comparing group is one of the key uses of large-scale assessment results, which are used to gain insights to inform policy and practice and to examine the comparability of scores and score meaning. Such comparisons typically focus on examinees' final answers and responses to test questions, ignoring response process differences groups may engage…
Descriptors: Data Use, Responses, Comparative Analysis, Test Bias
Naujokaitiene, Justina; Tamoliune, Giedre; Volungeviciene, Airina; Duart, Josep M. – Journal of New Approaches in Educational Research, 2020
Student engagement is one of the most relevant topics within the academic and research community nowadays. Higher education curriculum, teaching and learning integrate new technology- supported learning solutions. New methods and tools enhance teacher and learner interactions and influence learner engagement positively. This research addresses the…
Descriptors: Learning Analytics, Learner Engagement, Instructional Improvement, Interaction
Parker, John N.; Cardenas, Edgar; Dorr, Alexander N.; Hackett, Edward J. – Sociological Methods & Research, 2020
New technologies transform research specialties and potentiate new fields. Sociometers--wearable electronic sensors collecting quantitative, dynamic data about embodied social interactions at hyperfine scales--represent such a possibility for small group research. This article introduces this new method and its distinctive qualities and…
Descriptors: Measurement Equipment, Data Collection, Group Structure, Group Dynamics
Whitesides, Heather; Beck, Jori S. – Teacher Educator, 2020
Research on equity in data literacy for teaching has lagged yet is of critical importance to ensuring new teachers are prepared to serve diverse students. Our multiple case study conveyed four elementary teacher candidates' understandings of this construct and their reaction to instruction in this domain. Data collection included interviews, item…
Descriptors: Preservice Teachers, Equal Education, Data Use, Student Diversity

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