Motivated by a series of interconnected studies on simultaneous attention to form and meaning, we revisit L2 learners' real-time processing of text by using eye-tracking as an unobtrusive method to provide concurrent data on attention allocation. Seventy-five L2 Spanish learners were instructed to attend to an assigned form in a reading passage…

Students now have readily available and powerful tools to access, manipulate, combine, and visualize data. Acquiring data and visual literacy requires more than knowledge of how to use these tools. Students need to engage with assignments that challenge them to make relatively complex visualizations, interpret them, and explain why these…

Scientific representations of human evolution often embrace stereotypes of ethnicity and gender that are more aligned with socio-cultural discourses and norms than empirical facts. The present study has two connected aims: to understand how ethnicity and gender are represented in an exhibition about human evolution, and to understand how that…

This work reports on the implementation of a self-contained data-literacy exercise designed for use in undergraduate classes to help students practice data literacy skills such as interpreting and evaluating evidence and assessing arguments based on data. The exercises use already developed data-visualizations to test and develop students' ability…

In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…

Milner (2012) defines opportunity gaps as the uncontrollable factors such as race, language, or economic status that can impact students' success in schools. Rather than placing focus on students' achievement, examinations of opportunity gaps emphasize the systems and structures that may contribute to disparities in student outcomes. The…

Multivariate count data is ubiquitous in many areas of research including the physical, biological, and social sciences. These data are traditionally modeled with the Dirichlet Multinomial distribution (DM). A new, more flexible Dirichlet-Tree Multinomial (DTM) model is gaining in popularity. Here, we consider Bayesian DTM regression models. Our…

Wisconsin's technical colleges appear to receive unusually high funding levels per student compared to other public two-year colleges nationally. Yet our review has found more than 100,000 technical college students being served in Wisconsin are absent in national data, likely inflating the funding figures. Accounting for the missing students…

The U.S. Department of Education's Office of Special Education Programs collects data on how states implement the Individuals with Disabilities Education Act through the mandated State Performance Plan/Annual Performance Report (SPP/APR). Some indicators in the SPP/APR require state educational agencies (SEAs) to report data by race and ethnicity.…

This study aims to introduce network meta-analysis (NMA) to provide educational researchers with an extended view of the reviewing educational research. Meta-analytic methods have been widely used in educational research reviews. However, weaknesses have emerged in the multi-group comparison analysis of educational studies where different…

Graphical representations appear everywhere in modern society. Their ubiquity has, in part, justified graph literacy as a core competency in education. Graph literacy - the capacity to read and interpret graphs - consists of understanding features, identifying variables, interpreting trends, and forming real-world connections. Experts and novices…

The increased adoption of online learning environments has resulted in the availability of vast amounts of educational log data, which raises questions that could be answered by a thorough and accurate examination of students' online learning behaviours. Event logs describe something that occurred on a platform and provide multiple dimensions that…

This article presents an innovative way to engage schoolchildren in discussions on multilingualism and multilingual identity using research data they helped generate. Adopting an exploratory, participatory approach to research, our study uses digital data visualisations in interactive sessions aimed at engaging lower secondary students in identity…

Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…

This research brief describes recent methodological initiatives with the Public Libraries Survey. It describes how starting with the 2022 data, Institute of Museum and Library Services (IMLS) updated geographic identifiers to better align Census Bureau geography types with the library's legal service area, with the goal of enabling data users to…