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Tricia Corrin; Paul Cairney; Eric B. Kennedy – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: COVID-19 accentuated an evergreen dilemma in evidence-informed policy making--the imperative to synthesise the best available evidence with limited time to produce high quality synthesis. The pandemic prompted the adaptation of evidence synthesis practices to match the urgency of the crisis, and heightened demand by policy makers,…
Descriptors: Evidence, Synthesis, COVID-19, Pandemics
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Louise Shaxson; Rick Hood; Annette Boaz; Brian Head – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: Knowledge brokering plays an important role in the evidence-to-policy system, but little is known about whether and how it occurs within government departments. Aims and objectives: Using empirical evidence from one UK government department, this article analyses how knowledge brokering takes place inside the policy making process and…
Descriptors: Knowledge Management, Public Policy, Policy Formation, Evidence
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Kristina Bennert; Mark Brosnan; Amy Canning; Ged Roberts; Ailsa Russell – Journal of Autism and Developmental Disorders, 2025
Previous research has identified contradictory patterns in autism upon probabilistic reasoning tasks, and high levels of self-report paranoia symptoms have also been reported. To explore this relationship, the present study assessed 64 non-autistic and 39 autistic adults on two variants of a probabilistic reasoning task which examined the amount…
Descriptors: Autism Spectrum Disorders, Adults, Decision Making, Evidence
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Elizabeth Brisco; Elena Kulinskaya; Julia Koricheva – Research Synthesis Methods, 2024
Outcomes of meta-analyses are increasingly used to inform evidence-based decision making in various research fields. However, a number of recent studies have reported rapid temporal changes in magnitude and significance of the reported effects which could make policy-relevant recommendations from meta-analyses to quickly go out of date. We…
Descriptors: Meta Analysis, Ecology, Decision Making, Evidence Based Practice
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Courtenay A. Barrett; Dustin J. Sleesman; Tazkira Amin – Prevention Science, 2024
Schools are a critical setting to promote healthy youth development through the provision of evidence-based programs (EBPs), yet preventive EBPs in schools are underutilized. The Exploration, Preparation, Implementation, Sustainment (EPIS) framework highlights numerous factors that may influence program adoption during the Exploration phase and…
Descriptors: Administrators, Administrator Attitudes, Decision Making, Prevention
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Alexandra Lee; Meetal Shah; Justin Long – Society for Research on Educational Effectiveness, 2024
An extensive number of studies evaluating educational interventions are conducted and disseminated through peer-reviewed articles and conference presentations annually, but there is limited uptake of research among key stakeholders--educators and administrators (henceforth, practitioners; Farley-Ripple et al, 2018; Hollands et al., 2019; Slavin,…
Descriptors: Program Evaluation, Educational Technology, Intervention, Evidence Based Practice
Dylan Wiliam; Douglas Fisher; Nancy Frey – Corwin, 2024
What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? "Student Assessment: Better Evidence, Better Decisions, Better Learning" is the innovative guide to show you how it is done and done right. This unique book offers a new assessment model focused on…
Descriptors: Student Evaluation, Data Collection, Evidence Based Practice, Data Use
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James Nicholson; Jim Ridgway – Teaching Statistics: An International Journal for Teachers, 2024
We explore ways in which statistics can be used to understand disease spread and support decision-making by governments. "Past performance does not guarantee future results"--we hope. We discuss and show examples from the National Science Foundation (NSF)-funded COVID-Inspired Data Science Education through Epidemiology (CIDSEE) project.…
Descriptors: COVID-19, Pandemics, Statistics, Communicable Diseases
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Mandeep K. Dhami; Ian K. Belton; Peter De Werd; Velichka Hadzhieva; Lars Wicke – Cognitive Research: Principles and Implications, 2024
We empirically examined the effectiveness of how the Analysis of Competing Hypotheses (ACH) technique structures task information to help reduce confirmation bias (Study 1) and the portrayal of intelligence analysts as suffering from such bias (Study 2). Study 1 (N = 161) showed that individuals presented with hypotheses in rows and evidence items…
Descriptors: Task Analysis, Decision Making, Credibility, Cognitive Processes
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Constance Coen; Marie Bocquillon; Christophe Baco; Eva Gonzalez Vargas; Laëtitia Delbart – European Journal of Education, 2025
Classroom management is one of the main difficulties encountered by teachers. One way of improving this situation is to implement classroom management strategies that have been validated by scientific research. The purpose of this research is to study the classroom management strategies declared by a sample of novice teachers, and the sources of…
Descriptors: Foreign Countries, Beginning Teachers, Classroom Techniques, Teacher Attitudes
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Kylie E. Hunter; Mason Aberoumand; Sol Libesman; James X. Sotiropoulos; Jonathan G. Williams; Jannik Aagerup; Rui Wang; Ben W. Mol; Wentao Li; Angie Barba; Nipun Shrestha; Angela C. Webster; Anna Lene Seidler – Research Synthesis Methods, 2024
Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature…
Descriptors: Integrity, Randomized Controlled Trials, Participant Characteristics, Computer Software
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Marissa J. Filderman; Samantha A. Gesel – TEACHING Exceptional Children, 2024
Data-based decision making (DBDM) is a process of using student data to inform instructional decisions and intensify intervention for students whose data indicate inadequate academic and behavioral progress. Data teams, an important structure for DBDM, are a collaborative group of school faculty who meet to systematically analyze student data,…
Descriptors: Evidence Based Practice, Decision Making, Data Use, Intervention
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Constantinos Xenofontos – For the Learning of Mathematics, 2025
Building on Umberto Eco's concept of Ur-Fascism, this essay examines how authoritarian traits permeate mathematics education. Through a reflective analysis of my prior research within the context of Cyprus, I discuss troubling patterns of centralised control, rigid traditions, and hierarchical structures shaping the educational landscape. These…
Descriptors: Foreign Countries, Mathematics Education, Authoritarianism, Misinformation
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Elif Tekin-Iftar; Melinda Jones Ault; Belva C. Collins; Seray Olcay; H. Deniz Degirmenci; Orhan Aydin – Journal of Special Education, 2024
We conducted a descriptive analysis and meta-analysis of single-case research design (SCRD) studies investigating the effectiveness of the graduated guidance procedure. Once we identified studies through electronic databases and reference lists, we used What Works Clearinghouse (WWC) Standards to evaluate each study. Then, we described studies in…
Descriptors: Meta Analysis, Effect Size, Nonparametric Statistics, Evidence Based Practice
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Gretchen Scheibel – TEACHING Exceptional Children, 2024
For the last decade, educators have been directed to use evidence-based practices in their classrooms. However, despite this direction, the use of these practices is not widespread in many classrooms. Though many resources exist to help educators locate and select these practices educators face barriers which make these practices infeasible or…
Descriptors: Students, Student Needs, Evidence Based Practice, Decision Making
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