Health-Promoting School (HPS) interventions aim to reduce bullying and violence via curriculum, environmental and family/community-engagement components. Despite evidence of their effectiveness, factors influencing the implementation of such interventions are poorly understood. This systematic review aims to examine such factors by assessing…

In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…

Early-career special education teachers (SETs), often report feelings of role ambiguity and being marginalized from their administrators (Billingsley & Bettini, 2019). Dissatisfaction with administration is a leading cause of SET attrition (Bettini et al., 2020; Fowler et al., 2019). Special educators who leave teaching report feeling…

Information manipulation and cognitive load imposition make the production of deceptive narratives difficult. But little is known about the production of deception, and how its mechanisms may help distinguish truthful from deceitful narratives. This study focuses on the measurement of keystroke dynamics while typing truthful and deceptive…

University rankings have become commonplace in higher education. Traditional quantified rankings do not merely measure educational performance: they equally grant status, enforce competition between institutions, and are emblematic for the ongoing capitalization of higher education. Drawing on the field of Science and Technology Studies, this…

In this article, Amanda Williford, Jason Downer, Kate Miller-Bains, Jenna Conway, and Lisa Howard tell us how a university research center, an early education advocacy group, and a state department of education joined forces in a research-practice partnership to develop and implement a more comprehensive assessment of young Virginia children's…

The paper presents a multi-faceted data-driven computational approach to analyse workplace-based assessment (WBA) of clinical skills in medical education. Unlike formal university-based part of the degree, the setting of WBA can be informal and only loosely regulated, as students are encouraged to take every opportunity to learn from the clinical…

Quantitative literacy is a foundational component of success in STEM disciplines and in life. Quantitative concepts and data-rich activities in undergraduate geoscience courses can strengthen geoscience majors' understanding of geologic phenomena and prepare them for future careers and graduate school, and provide real-world context to apply…

This paper describes a collaboration organized around exchanging data between two technological systems to support teachers' instructional decision-making. The goals of the collaboration among researchers, technology developers, and practitioners were not only to support teachers' instructional decision-making but also to document the challenges…

Omitted variable bias occurs in most statistical models. Whenever a confounding variable that is correlated with both dependent and independent variables is omitted from a statistical model, estimated effects of included variables are likely to be biased due to omitted variables. This issue is particularly problematic in physics education research…

Cultures of performative accountability in education have been on the rise globally since the 1980s. Accordingly, teachers have increasingly been encouraged to understand their work in relation to particular forms of 'evidence'. All evidence, however, is not regarded as equal, and sources of evidence privileged within cultures of performative…

Using data to drive decision-making and evaluate program effectiveness is paramount to the school counseling profession. In this pilot study, researchers utilized a quasi-experimental design to examine the impact of training in action research on students' data attitudes and self-efficacy. Participants in the experimental group saw greater…

Over the course of 18 months, teams at the University of Chicago and Stanford University joined with other leaders across the United States and world to consider the issue of the types of mathematics used in the classroom. It quickly became clear that all students--starting from the youngest in prekindergarten to those in college--need to learn…

School self-evaluation (SSE) has emerged as a widely used approach to school evaluation in recent decades. This has occurred in the context of what is referred to as "New Public Management," an element of which seeks to empower public institutions to make decisions locally about improving their processes and standards. Inspection regimes…

This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…