The purpose of this quantitative correlational predictive study aimed to assess to what extent the number of actual study table hours predicted change of Grade Point Average (GPA) for at-risk student-athletes participating in revenue and non-revenue sports. Data was collected from 108 participants total, fifty-three participants in…

Real-world data are fundamental to modern teaching methodologies that aim to improve statistical knowledge and reasoning in students. Statistical information is encountered in everyday life, such as media articles and involves real-world contexts. However, information could be biased or (mis)represented and students should be concerned about the…

Mixed methods approaches are increasing advocated for researching complex problems in the social sciences, but they are not widely used by postgraduate students of public management. This article describes a study where qualitative and quantitative methods lecturers worked collaboratively to design and teach both methodology courses in an…

Social media use can bring negative effects to college students, such as social media addiction (SMA) and decline in academic performance. SMA may increase the perceived stress level of college students, and stress has a negative impact on academic performance, but this potential mediating role of stress has not been verified in existing studies.…

Classroom rules are a fundamental aspect of classroom management and ensuring compliance with established rules is crucial. Previous research has shown that students often pay little attention to the development of classroom rules. This quantitative study aims to investigate the expectations that students have concerning classroom rules. To this…

This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…

This paper is the first to estimate the cost function of Connecticut public K-12 education and to evaluate the state's school spending based on regression-estimated education costs. It finds large disparities across districts in education costs and cost-adjusted spending. A large percentage of the state's public school students are enrolled in…

Growing scholarship on the pedagogical applications of statistical modeling is currently taking place to create adaptations of this practice to introduce novices to statistics. These are intended to promote novices' reasoning, and are typically void of formal mathematical procedures and calculations. In this article, we define the potential…

In this article, we first analyze the situation of statistics education in Brazil, within an international context of interest for this discipline. Secondly, we aim to answer the following research question: How has doctoral research in statistics, probability, and combinatorics education evolved in Brazil? For this purpose, we analyzed the…

Past decades have seen an increase in focus on college and career readiness (CCR) policy and programming to meet the growing demand for a high-skill, global, 21st-century workforce. Recent research indicates many adolescents aspire to succeed in various postsecondary paths, but a persistent gap between aspirations and attainment remains. This is…

Advancements in internet technology have fundamentally changed how companies conduct their business activities, leading us into a business analytics (BA) era. In this article, the authors aim to investigate factors that could shape students' career choice considerations toward BA jobs after they have been exposed to BA course content in an…

Aim/Purpose: The study examined how the developed mobile courseware can be used as instructional material to improve senior high school statistics and probability learning, particularly during distance learning caused by the COVID-19 pandemic. The study also aims to assess the gamified mobile courseware's engagement, functionality, aesthetics, and…

Numerous primary studies and a recent meta-analytic confirmatory factor analysis (Meta-CFA; Said-Metwaly, Fernández-Castilla, Kyndt, & Van den Noortgate, 2018) have shown that Torrance Tests of Creative Thinking -- Figural (TTCT-F) consists of two factors. However, recent research has raised questions regarding factor analysis of the TTCT-F…

Automated scoring for divergent thinking (DT) seeks to overcome a key obstacle to creativity measurement: the effort, cost, and reliability of scoring open-ended tests. For a common test of DT, the Alternate Uses Task (AUT), the primary automated approach casts the problem as a semantic distance between a prompt and the resulting idea in a text…

In this study, 82 middle and high school teachers engaged with the InSTEP online professional learning platform to develop their expertise in teaching data science and statistics. We investigated teachers' engagement within the platform, aspects of the platform that were most and least effective in building teachers' expertise, and the extent to…