In recent years, research on teaching and learning of statistics emphasized that the interpretation of data is a complex process that involves cognitive and technical aspects. However, it is a human activity that involves also contextual and affective aspects. This view is in line with research on affectivity and cognition. While the affective…

The Local Child Outcomes Measurement System (L-COMS) is a framework that identifies seven key components of a high-quality child outcomes measurement system at the local level. The L-COMS framework was designed to apply to all local programs regardless of their specific child outcomes measurement approach. Development of the L-COMS originated with…

Most state departments of education across the United States recommend or require that districts use a home language survey as the first step in a multistep process of identifying students who qualify for English learner student services. School districts typically administer the home language survey to parents and guardians during a student's…

Learning and teaching practices within higher education have changed surprisingly little over the last 20 years. Other sectors, such as banking, music and publishing, have been turned upside down by digital technology, but the UK's research and education sector has yet to fully exploit the potential of new technologies. Pockets of innovation are…

The expectation in this country is that all students should be able to succeed in school. Yet new data and accountability agendas have heightened attention to performance disparities between students with different identifiable needs--needs that stem from poverty, disability, or limited English proficiency. Educators and policymakers know that…

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…