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Turner, Simon Lee; Korevaar, Elizabeth; Cumpston, Miranda S.; Kanukula, Raju; Forbes, Andrew B.; McKenzie, Joanne E. – Research Synthesis Methods, 2023
Interrupted time series (ITS) studies are frequently used to examine the impact of population-level interventions or exposures. Systematic reviews with meta-analyses including ITS designs may inform public health and policy decision-making. Re-analysis of ITS may be required for inclusion in meta-analysis. While publications of ITS rarely provide…
Descriptors: Quasiexperimental Design, Graphs, Accuracy, Computation
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Gafny, Ronit; Ben-Zvi, Dani – Teaching Statistics: An International Journal for Teachers, 2023
In recent years, big data has become ubiquitous in our day-to-day lives. Therefore, it is imperative for educators to integrate nontraditional (big) data into statistics education to ensure that students are prepared for a big data reality. This study examined graduate students' expressions of uncertainty while engaging with traditional and…
Descriptors: Student Attitudes, Data Science, Data Analysis, Models
Robbie Barber – Knowledge Quest, 2023
Soft or self-censorship is when librarians' modify their book choices, not based on a selection policy, but on the climate. To avoid getting in trouble, they choose books that will not be controversial. The result may be that their self-censorship is a greater threat to school libraries than the actual book challenges. In this article, Robbie…
Descriptors: Censorship, Books, School Libraries, Reading Material Selection
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Chelsea M. Parlett-Pelleriti; Elizabeth Stevens; Dennis Dixon; Erik J. Linstead – Review Journal of Autism and Developmental Disorders, 2023
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data--both genetic and behavioral--that are collected as part of scientific studies or a part of treatment can provide a deeper,…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Classification, Supervision
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Guy Bendermacher; Mirjam oude Egbrink; Diana Dolmans – Interdisciplinary Journal of Problem-based Learning, 2023
Problem-based learning (PBL) can take many different shapes but has as a common denominator that it builds on the principles of collaborative, constructive, contextual, and self-directed learning. Systematic review approaches that aim to provide insight in what features make PBL work generally fall short, as they tend to disregard the influential…
Descriptors: Problem Based Learning, Research Methodology, Realism, Program Effectiveness
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Charteris, Jennifer – British Journal of Sociology of Education, 2022
Post-panopticism is aligned with the Foucauldian conception of power and illustrates its apparatuses and mechanisms, for instance the visibility of bodies under the gaze, the facility to mobilise power relations for political purposes, and the capacity to engage self -technologies where there is self-surveillance and surveillance of others. As a…
Descriptors: Foreign Countries, Power Structure, Accountability, Visual Aids
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Jennings, Austin S. – Educational Assessment, 2022
The extent to which teachers collect, interpret, and use information from multiple data sources is a key distinction between novice and expert data users. Understanding and exploring this dimension of teachers' instructional decision making requires a shift in contemporary perspectives toward the interconnectedness of data sources within teachers'…
Descriptors: Educational Practices, Information Utilization, Data Collection, Data Interpretation
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Schildkamp, Kim; Datnow, Amanda – Leadership and Policy in Schools, 2022
Because learning from failures is just as important as learning from successes, we used qualitative case study data gathered in the Netherlands and the United States to examine instances in which data teams struggle to contribute to school improvement. Similar factors in both the Dutch and U.S. case hindered the work of the data teams, such as…
Descriptors: Foreign Countries, Educational Improvement, Data Use, Failure
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Yang, Chunsheng; Chiang, Feng-Kuang; Cheng, Qiangqiang; Ji, Jun – Journal of Educational Computing Research, 2021
Machine learning-based modeling technology has recently become a powerful technique and tool for developing models for explaining, predicting, and describing system/human behaviors. In developing intelligent education systems or technologies, some research has focused on applying unique machine learning algorithms to build the ad-hoc student…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Data Use, Models
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Elizabeth H. Connors; Amber W. Childs; Susan Douglas; Amanda Jensen-Doss – Administration and Policy in Mental Health and Mental Health Services Research, 2025
Measurement-based care (MBC) research and practice, including clinical workflows and systems to support MBC, are grounded in adult-serving mental health systems. MBC research evidence is building in child and adolescent services, but MBC practice is inherently more complex due to identified client age, the family system and the need to involve…
Descriptors: Psychotherapy, Data, Data Use, Decision Making
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Tahlia Lasczik; Alexandra Lasczik; Amy Cutter-Mackenzie-Knowles – International Journal of Art & Design Education, 2025
The rise in the number of young people disengaged from mainstream schooling is reaching critical proportions. This paper explores a child-framed participatory inquiry known as The Walking A/r/tography Project, which sought to challenge, empower and engage youth at risk in one Special Assistance Secondary School in Southeast Queensland through…
Descriptors: Foreign Countries, Secondary School Students, Student Projects, Student Research
Office for Civil Rights, US Department of Education, 2025
The 2021-22 Civil Rights Data Collection (CRDC) is a mandatory survey of all public school districts and schools serving students in preschool through grade 12 in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico and therefore includes data from 17,704 public school districts also known as local education agencies (LEAs) and…
Descriptors: Public Schools, School Districts, Data Collection, Access to Education
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Krista Bixler; Marjorie Ceballos – Leadership and Policy in Schools, 2025
Instructional leadership is a complex dimension, which requires that principals possess expertise in goal setting, leading the instructional program, and creating the conditions for a successful school environment. Effective instructional leaders manage the instructional program by planning, coordinating, and evaluating the work of teachers and…
Descriptors: Principals, Instructional Leadership, Artificial Intelligence, Educational Technology
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Lonneke Boels; Arthur Bakker; Wim Van Dooren; Paul Drijvers – Educational Studies in Mathematics, 2025
Many students persistently misinterpret histograms. This calls for closer inspection of students' strategies when interpreting histograms and case-value plots (which look similar but are different). Using students' gaze data, we ask: "How and how well do upper secondary pre-university school students estimate and compare arithmetic means of…
Descriptors: Secondary School Students, Learning Strategies, Data Interpretation, Graphs
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Robert M. Johnstone – Educational Considerations, 2025
This article explores utilizing a post-graduation success lens to help community college leaders frame the challenges of achieving equitable improvement for their students. Specifically, it posits that providing and exploring customized labor market data presented in an accessible format can help institutional leaders provide a "true…
Descriptors: Community College Students, College Graduates, Outcomes of Education, Success
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