In educational research, the complexity of interventions and the diversity of contexts challenge the adequacy of existing reporting standards, primarily tailored for health interventions and randomised controlled trials. Recognising the critical need for appropriate tools to support education research, we developed two checklists: the CheckList Of…

The "Test Adaptation Reporting Standards" (TARES), or "TARES statement" was developed to alleviate the problems arising from inadequate reporting of test adaptation procedures. The TARES contains a short preamble and a checklist, that comprises an evidence-based minimum set of information for reporting in test adaptations. The…

In Ireland as elsewhere, the value of putting evidence and scientific advice at the centre of public policy-making, has rarely been more evident. The prominence of the science-policy interface has renewed interest in the prospects for evidence based policy (EBP) in education. Notwithstanding the political rhetoric around EBP in education, little…

Replication provides a confrontation of psychological theory, not only in experimental research, but also in model-based research. Goodness-of-fit (GOF) of the original model to the replication data is routinely provided as meaningful evidence of replication. We demonstrate, however, that GOF obscures important differences between the original and…

Background: Despite literature recognising the huge potential of co-production as a positive approach to evidence creation, there is a dearth of evidence about how co-production principles can problematise knowledge exchange, specifically in evaluation work. Aims: To critically examine three evaluation projects commissioned by voluntary sector…

Computer-based simulations for learning offer affordances for advanced capabilities and expansive possibilities for knowledge construction and skills application. Virtual agents, when powered by artificial intelligence (AI), can be used to scaffold personalized and adaptive learning processes. However, a synthesis or a systematic evaluation of the…

Behavioral skills training (BST) is an evidence-based approach for training individuals to implement discrete-trial teaching procedures. Despite the effectiveness of this approach, implementing BST can be time and resource intensive, which may interfere with a clinical organization's adoption of this training format. We conducted a scoping review…

Students' evidence-based reasoning was examined across two studies. In Study 1, students were asked to evaluate newspaper excerpts including anecdotal, descriptive, correlational, and causal evidence provided in support of causal claims as well as to justify their quality ratings for two of these excerpts. In Study 2, students' justifications for…

Introduction: Because of their regular contact with students, faculty can find themselves in the position of needing to support student's emotional needs, a task for which not everyone feels well trained. Statement of the Problem: COVID-19 has exacerbated existing mental health concerns and created additional problems related to low levels of…

Educators are charged with the task of providing specialized programming to meet individual needs while also ensuring this occurs in the least restrictive environment, with as much inclusion as possible. Research has demonstrated the importance of access to evidence-based practices (EBP) to ensuring positive outcomes on targeted skills for…

Systematic reviews and meta-analyses aggregate research findings across studies and populations, making them a valuable form of research evidence. Over the past decade, studies in medical education using these methods have increased by 630%. However, many manuscripts are not publication-ready due to inadequate planning and insufficient analyses.…

Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…

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…

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…

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.…