Because data-informed decision-making (DIDM) can help teachers meet diverse learners' needs (van Geel et al., 2016), educator preparation programs (EPPs) must ensure that preservice teachers (PSTs) develop the data literacy skills needed for effective data use. However, little is known about the ways in which EPPs work towards building PSTs' data…

School counselors are in a unique position to address inequities and systemic racism in schools by engaging in antiracist practices. Yet there is a need for practical evaluation tools to support school counselors with dismantling racism and fostering equitable school environments. We introduce the Antiracist School Counseling Checklist (ASCC) as a…

In the realm of K-12 Education, the growing significance of Computational Thinking has sparked extensive inquiry into its nature and instructional methodologies. Despite a wealth of literature on the subject, ongoing debates persist regarding its fundamental components. Across global educational landscapes, Computational Thinking is being…

Although there is growing social science research examining how generative AI models can be effectively and systematically applied to text-based tasks, whether and how these models can be used to analyze images remain open questions. In this article, we introduce a framework for analyzing images with generative multimodal models, which consists of…

In this third edition of "Data Wise," Kathryn Parker Boudett and Candice Bocala update the research-based eight-step collaborative inquiry process and demonstrate how it can be used to build more equitable schools. As Boudett and Bocala define it, equity occurs when each student has access to rigorous learning opportunities and is…

The 1989 Convention on the Rights of the Child reflects the role and status of children in society as being competent and capable participants on matters that affect them. The Convention is foundational in understanding children's rights to participate in all aspects of everyday life, including in research in which children are participants. This…

The aim of this paper is to provide tools to teachers for monitoring student work and understanding practices in order to help student and possibly adapt exercises in the future. In the context of an online programming learning platform, we propose to study the attempts (i.e., submitted programs) of the students for each exercise by using…

The increasing rate of permanent school closures in U.S. public school districts presents unprecedented challenges for administrators and communities alike. This study develops an early-warning indicator model to predict mass closure events -- defined as a district closing at least 10% of its schools -- five years in advance. Leveraging…

"Motor fluency" refers to the ease with which an action can be performed and several studies have shown how it can modulate various cognitive processes, such as memory and decision making. To investigate these implications of motor fluency, typing-based paradigms have been proven to be useful. In this literature, based on pioneering…

This paper examines outsourced call center interactions to illustrate how these contexts can enhance pronunciation analysis and training. Public opinion in the United States and the United Kingdom regarding the perceived "pronunciation problems" of agents based in call centers in Outer-Circle English-speaking countries is typically…

Multimodal learning analysis emphasizes using diverse data from various sources and forms for precise examination of learning patterns. Despite recent rapid advancements in this field, conventional learning analysis remains predominantly cross-sectional and group-focused, which is insufficient for understanding continuous and personalized learning…

Purpose: School leaders are critical to organizational change and school improvement, particularly through their role in facilitating teacher development. Yet the literature is thin regarding the extent to which various sources of evidence influence school leaders' decisions and regarding conditions that may shape differences in school leader…

Interest in understanding creativity through Programme for International Student Assessment (PISA) data is on the rise, yet researchers face methodological challenges in synthesizing findings across various constructs, measures, and datasets. Meta-analysis--a valuable methodology for synthesizing quantitative data--remains underutilized in…

The increasing use of learning management systems (LMSs) generates vast amounts of clickstream data, opening new avenues for predicting learner performance. Traditionally, LMS predictive analytics have relied on either supervised machine learning or Markov models to classify learners based on predicted learning outcomes. Machine learning excels at…

Since the COVID-19 pandemic, online interviews have become a cheap and practical way to collect research data with no need to travel, from the comfort of your office or home. In 2023, we interviewed online 15 academics working in initial teacher education using an unstructured interview approach, without a schedule of interview questions or…