Over the last decade, teachers in France have been increasingly pressured to use digital learning environments, and to shift from grade-based to skill-based assessment. Educational dashboards, which measure student input electronically, could foster such a transition by providing insights into learners' performances. However, such dashboards could…

We turn a critical lens to ethical research practices in the context of 'insider' higher education research. Tensions arise due to the risks involved in navigating academic identity and teacher-researcher authenticity. We offer two case studies where ethical tensions surfaced methodological concerns for researchers and participants. Case study one…

Background: Wearable technologies offer new opportunities to address in-school physical inactivity. However, children are often excluded from discussing issues which directly impact them, including the use of wearable technologies in a school setting. Thus, the aim of this study is to understand primary school pupils' experiences and perceptions…

Despite the increasing ubiquity of computer-based tests, many general qualifications examinations remain in a paper-based mode. Insufficient and unequal digital provision across schools is often identified as a major barrier to a full adoption of computer-based exams for general qualifications. One way to overcome this barrier is a gradual…

As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…

Context: Prolonged disconnection from school and work represents major setbacks during the transition to adulthood and is a distinct feature of the developmental trajectories of many disadvantaged youths, especially those from a marginalized racial background (Hong and Chung 2022; Shanahan 2000). Differential schooling experiences are hypothesized…

Careful research and compilation of the best data available has earned "The Complete Resource Guide for People with Disabilities" the honor of being a repeat recipient of the National Mature Media Award and the National Health Information Award, as well as being a go-to resource among educators, librarians and the disability community.…

Recent reviews of the educational intervention literature have noted patterns of intervention impact fadeout on cognitive skills, whereby skill trajectories between children in the intervention and control group converge in the years following the end of the intervention. Some early childhood education (ECE) researchers have suggested that skill…

Academic and practitioner interest in data science has increased considerably. Yet scholarly understanding of what motivates students to learn data science is still limited. Drawing on the theory of planned behavior, we propose a research model to examine the determinants of behavioral intentions to learn data science. In the proposed research…

In 2020, the COVID-19 pandemic urged authorities to share quantitative information such as infection and death rates. One way of disseminating was through graphs, maps, and diagrams. Such data visualizations communicate numeric data in compact ways, but also require a particular mathematical literacy from readers. We conceptualized this particular…

In the context of the rapid expansion of web-integrated technologies, there exists a need for a thorough comprehension of data privacy, emphasizing risk mitigation and the nuanced governance of private data within organizational and regulatory frameworks. Given the rise of privacy regulations such as the GDPR and CCPA, it has become important for…

High-Leverage Practices (HLPs) are a deceptively simple concept in the field of education. On the one hand it is amazing to have a list of key practices that all teachers should learn and be able to implement when teaching students of all backgrounds and ability levels, including those with disabilities. On the other, teaching is rarely simple,…

The rapid growth of edge computing, 5G, and IoT technologies has led to a significant increase in distributed data, creating both opportunities and challenges for machine learning. Federated learning has emerged as a promising approach to enable collaborative model training across decentralized devices while not sharing user data. However,…

People are inundated with popular press reports about medical research concerning what is healthy, get advice from doctors, and hear personal anecdotes. How do people integrate conflicting anecdotal and statistical information when making medical decisions? In four experiments (N = 4126), we tested how people use conflicting information to judge…

To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…