We are at a critical moment for assessment in schools. Teachers are called to navigate advances in classroom assessment research, top-down assessment policies, and lingering effects of the COVID-19 pandemic on teaching and learning. Embedded in this context are also systemic challenges to teachers' assessment practice. This paper analyses these…

Misleading data visualizations have become a significant issue in our information-rich world due to their negative impact on informed decision-making. Consequently, it is crucial to understand the factors that make viewers vulnerable to misleading data visualizations and to explore effective instructional supports that can help viewers combat the…

The purpose of this study is to investigate the current state of graduate level business analytics education in the United States. The goal of this research is twofold. The first goal is to understand how higher education institutions are addressing the growing demand for analysts and data-savvy managers in the job market. To achieve this aim, the…

This study demonstrates how to evaluate a university-wide online course designed to support student transition into university by using Propensity Score Matching (PSM) and Doubly Robust Estimation (DRE). Using data from seven academic years, from 2016/17 to 2022/23, with more than 28,000 students, we examine whether enrolment in this optional…

This paper critically examines the use of the photostories method adapted from Photovoice in research with children, exploring its effectiveness in enabling decision-making and influencing change while addressing potential challenges. Specifically, it investigates the extent to which the photostories method enables children to make decisions and…

Due to regulatory and logistical challenges, traditional hands-on endocrine labs can be difficult to implement. Here, we provide a flexible, dry-lab/classroom data analysis activity that eliminates the need for direct blood sampling and instead focuses on teaching analytical skills and theoretical knowledge. This article presents a…

In this article, the author examines how young learners became critical information architects for presenting community and classroom data. The article begins with an overview of the literature on critical literacy, critical data literacy, and young children's visual cultures. Next, it lays out the project's context, modes of inquiry, and methods…

Over the past decade, more attention to data, quantitative, and critical data literacies in writing studies has led to a variety of approaches for getting students to experiment with data in their writing projects. This article explores an approach combining "data feminism" and "quantitative rhetoric" that asks students to…

Program evaluation can seem like a daunting task, but it is an important charge to undertake. This article is designed to provide gifted coordinators, teachers, and anyone else who wants to complete a program evaluation with guidance on how to work through a program evaluation by establishing the importance of program evaluation (e.g., Callahan,…

This case study focuses on a multidecade time-series study of changes in public acceptance of evolution in the United States. Change over time is often a central issue in social science research. There are two kinds of change over time. Time-series studies address change in populations or groups over time. Longitudinal studies address changes in…

Many schools choose to organise students into classes according to their perceived "ability", despite evidence that the practice is not beneficial for students, overall. Class grouping by "ability" can exacerbate existing social inequalities by segregating students according to pre-existing educational advantage, which has…

In June 2019, Minnesota State set a critical goal: By 2030, eliminate the educational equity gaps at each of the 30 colleges and 7 universities that comprise the system. To achieve the goal of Equity 2030, and empower actors at every level of Minnesota State, system and campus leaders need to fully embrace data democratization. Without access to…

Despite a growing focus on access to and use of emergent literacy assessment in early childhood, little is known about early childhood teachers' data practices and their associations with children's emergent literacy skills. A questionnaire was used to confirm and elaborate findings from prior qualitative work (Schachter & Piasta, 2022)…

For decades, states have been investing in statewide longitudinal data systems (SLDSs) that connect individual-level data over time from early childhood, K-12, postsecondary, and workforce. Because of these investments, most states have a powerful tool that could provide people with the information they need to make decisions at key transition…

In today's data-sharing paradigm, personal data has become a valuable resource that intensifies the risk of unauthorized access and data breach. Increased data mining techniques used to analyze big data have posed significant risks to data security and privacy. Consequently, data breaches are a significant threat to individual privacy. Privacy is…