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…

Network meta-analysis has played an important role in evidence-based medicine for assessing the comparative effectiveness of multiple available treatments. The prediction interval has been one of the standard outputs in recent network meta-analysis as an effective measure that enables simultaneous assessment of uncertainties in treatment effects…

At last, a comprehensive guide that meets psychologists and other social scientists' growing need to master the tools of statistical prediction. "Prediction Statistics for Psychological Assessment," by R. Karl Hanson, is the first book to teach students and practitioners the nuts and bolts of prediction statistics, while illustrating the…

Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…

Evidence-based early interventions for autism spectrum disorder (ASD) have been shown to improve child outcomes and quality of life (Lord et al., 2018; Reichow et al., 2018; Smith & Iadarola, 2015). However, response to intervention is variable across both children and implementation contexts. Understanding factors that influence this…

In recent years, many states have passed laws requiring dyslexia training for teachers. Research suggests teachers hold both scientifically-based conceptions as well as misconceptions of dyslexia, but there is little research regarding the specific concepts of dyslexia in which teachers are unsure. Research on conceptual change suggests a…

The purpose of this case study is to demonstrate how to utilize machine learning approaches to analyze student process data for validating and informing digital game-based assessments (DGBAs) with an evidence-centered game design (ECgD). The first analysis was conducted to examine whether students' mastery of the overall skill required by the game…

The literacy instruction that adolescent emergent bilingual (EB) students currently receive is insufficient to improve their writing proficiency (Graham et al., 2021; National Center for Education Statistics, 2012). To promote improvements in EBs' writing, evidence-based practices that are culturally and linguistically responsive must be provided…

Evidence-based policy at the local level requires predicting the impact of an intervention to inform whether it should be adopted. Increasingly, local policymakers have access to published research evaluating the effectiveness of policy interventions from national research clearinghouses that review and disseminate evidence from program…

Overcoming the challenge of using the steam tables can be considered a rite of passage in undergraduate thermodynamics courses. Students often circumvent the use of steam tables and resort to simpler digital alternatives to retrieve properties. In fact, the steam tables and their digital relatives that supply numeric property values fail to…

Across the evidence-based policy and practice (EBPP) community, including education, randomised controlled trials (RCTS) rank as the most "rigorous" evidence for causal conclusions. This paper argues that that is misleading. Only narrow conclusions about study populations can be warranted with the kind of "rigour" that RCTs…

Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…

Teachers' and special educators' attitudes towards research-based work differ but remains poorly understudied. This study predicts Swedish teachers' and special educators' attitudes towards (a) research-based work and (b) inviting researchers to schools. The data comes from a survey with a convenience sample of more than 300 teachers and special…

This article addresses the gap between what works in research and what works in practice. Currently, research in evidence-based education policy and practice focuses on randomized controlled trials. These can support causal ascriptions ("It worked") but provide little basis for local effectiveness predictions ("It will work…

Publicly funded mental health services play an important role in serving children with autism spectrum disorder (ASD). Previous research indicates a high likelihood of adaptations when therapists deliver evidence based practices to non-ASD populations, though less is known about therapists' use of adaptations for children with ASD receiving mental…