Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…

There is a need for public health undergraduates to acquire skills in data collection, statistical programming, and infectious diseases modeling. Public health officials and accreditation bodies underline the importance of a cumulative, "real-world" experience as part of a student's education. The Watermelon Meow Meow (WMM) outbreak is a…

The pervasiveness of racism in the U.S. and its negative relations with key development outcomes has led researchers to uncover mediators, of which this article argues efficacy should be considered. Self-efficacy, one's belief in their capability to accomplish a task or goal, can be measured in multiple domains of functioning and contexts to…

As institutions cope with the difficult task of managing scarce resources to support student learning, college writing centers, like other student services, need to be able to articulate and, at times, quantify the benefits they offer the populations they serve. This study examined outcomes associated with visiting the writing center at one…

A significant activity in the business analytics process is enrichment, which deals with acquiring and combining data from external sources. While different strategies for enrichment are possible, it can be accomplished more efficiently through automation using Python scripts. Since business students may not be immersed in technology skills and…

Through the sports group teaching of school students, this paper uses the evaluation method to construct the ability evaluation model, collects the changes of language ability, and tests the students' understanding ability, expression ability, action language, and group cooperation. Following the teaching for three months, the average value of the…

Test input has often been taken as a given in test design practice. Nearly all guides for test designers provide extensive coverage of how to design test items but pay little attention to test input. This paper presents the case that test input plays a crucial role in designing tests of soft skills that have rarely been assessed in existing tests.…

Effective research data management (RDM) is essential to modern scientific investigations. As the volume and complexity of research data increase, researchers, research institutions, and countries are pressured to improve data management practices to ensure transparency, reproducibility, sharing, and reuse of their findings. Researchers and…

New competencies are required given new technologies, shifting business strategies, changes in external environment, such as COVID-19 crisis as well as many other factors. The aim of this paper is to identify key competencies and create a construct describing contribution of specific groups of competencies related to technical, managerial and…

This article provides an account of the making of KBLab, the data lab at the National Library of Sweden (KB). The first part discusses the work involved in establishing a lab as both a physical and a digital site for researchers to use digital collections at previously unimaginable scales. The second part explains how the lab has deployed the…

Scholarly interests in developing personalized learning analytics dashboards (LADs) in universities have been increasing. LADs are data visualization tools for both teachers and learners that allow them to support student success and improve teaching and learning. In most LADs, however, a teacher-centric, institutional view drives their designs,…

This investigation examines the efficacy of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) over fixed-effects models when performing intersectional studies. The research questions are as follows: (1) What are typical strata representation rates and outcomes on physics research-based assessments? (2) To what…

This article utilizes speculative and visual storytelling alongside interdisciplinary research on artificial intelligence (AI) and algorithmic oppression to engage in a thought experiment on how literacy studies might refuse the oppressionist logics currently undermining the possibilities of AI in literacy education. As technological advancements…

Millions of children in the United States struggle with reading acquisition, many of whom are identified with developmental dyslexia (DD). Although experimental research indicates that evidence-based reading interventions can bring many of these children to average-range reading skills, such promising outcomes are not commonly achieved within K-12…

The generation, use, and analysis of educational data comes with many promises and opportunities, especially where digital materials allow usage of learning analytics (LA) as a tool in data-based decision-making (DBDM). However, there are questions about the interplay between teachers, students, context, and technology. Therefore, this paper…