Policy changes are an ever-present part of education. In 2019, legislators upended over two decades of gifted education policy in Texas with the removal of direct funding for gifted education. In its wake, the removal of funding shook educator morale and created uncertainty as to the future of gifted education in the state. In this article, we…

We report the results of a study on informal covariate statistical reasoning conducted with 22 students (aged 16 and 18 years). We designed and implemented a task in a digital technology environment to introduce the line of best fit. The task design having elements that foresee misconceptions reported in the literature, and by focusing on four…

Statistical modeling continues to gain prominence in the secondary curriculum, and recent recommendations to emphasize data science and computational thinking may soon position algorithmic models into the school curriculum. Many teachers' preparation for and experiences teaching statistical modeling have focused on probabilistic models.…

The formula for the variance of a binomial distribution is both concise and elegant. However, it is often taught without reference to the underlying reasoning. That being the case, is it important, or useful, to understand why this formula can be used to calculate the requisite result? In this article, the author demonstrates a teaching sequence…

Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…

In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and…

Temporality-driven covariate classification had limited impact on: the specification of directed acyclic graphs (DAGs) by 85 novice analysts (medical undergraduates); or the risk of bias in DAG-informed multivariable models designed to generate causal inference from observational data. Only 71 students (83.5%) managed to complete the…

This article proposes a general parametric item response theory approach for identifying sources of misfit in response patterns that have been classified as potentially inconsistent by a global person-fit index. The approach, which is based on the weighted least squared regression of the observed responses on the model-expected responses, can be…

Our study uses data from the Wabash National Study of Liberal Arts Education to interrogate the affinity disciplines hypothesis through students' perceptions of faculty use of six of Chickering and Gamson's ("AAHE Bull" 39(7):3-7, 1987) principles of good practice for undergraduate education. We created a proportional scale based on…

Empirical evidence attests the impact that career image has on objective career success, yet little is known of how career practitioners conceptualise and operationalise this information. This article presents the quantitative findings of an online survey of career practitioners (n = 399, 74% female, 89% white and 75% from the U.K.) exploring…

Over the past 20 years, a movement to offer greater access and choice in public education has begun to challenge the traditional attendance boundary school system. Public school choice provides an opportunity for parents who do not have the resources to change attendance boundaries but who want additional public school options. Proponents argue…

Contribution: This article analyzes the elements that determine entrepreneurial intention (EI) in electrical and computer engineering students of a private university in Ecuador. Background: There is a lack of studies examining the EIs of university students in electrical engineering and computing sciences, where EI is influenced by elements, such…

This quasi-experimental study examines the effect of short instruction videos on students' business statistics learning. Two hundred and thirty-one Dutch students attended 6-week online seminars on Business Statistics. One hundred and nineteen students were in an experimental group, and 112 in a control group. Students in the experimental group…

Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…

This study explored the potential relationship between multiple intelligences and academic majors declared by undergraduate business students in the largest college at a mid-size public university in the southeast. To determine these relationships, a quantitative study was performed using data collected electronically. The research questions in…