This study proposes a two-stage causal modeling with instrumental variables to mitigate selection bias, provide correct standard error estimates, and address nonnormal and missing data issues simultaneously. Bayesian methods are used for model estimation. Robust methods with Student's "t" distributions are used to account for nonnormal…

This research is about developing stochastic worldview formation among high school students (grades 10 and 11) based on integrating scientific approaches, namely, information and technology, interdisciplinary, system, and activity approaches. Developing the structural components of a stochastic worldview, such as motivation--value relations,…

This communication describes an activity where upper-level chemistry students explore the determinability of rate constant values without concentration dependences (k[subscript true]) related to a solvent-ligand exchange in a transition metal carbonyl complex. By performing a series of multivariable linear regression (MVLR) analyses of…

Cola beverages are widely consumed and popular among students; they can be used as safe reagents to replace toxic chemical dyes. In this study, a safe and improved experiment is described, which successfully demonstrates Beer's law and adsorption process using activated carbon as the adsorbent and cola as the adsorbate. The results of this study…

Guided by the notion of academic momentum, this study drew data from longitudinal transcript records at a large public 4-year research university and examined factors that specifically contribute to community college transfer students' academic momentum. It also explored how early academic momentum along with students' sociodemographic…

The object of research is a statistics exam that contains problem tasks. One examiner performed two exam evaluation methods to repeatedly evaluate the exam. The goal was to compare the methods for objectivity. One of the two exam evaluation methods we call a serial evaluation method. The serial evaluation method assumes evaluation of all exam…

The COVID-19 pandemic upended the U.S. education system and the economy in ways that dramatically affected the jobs of K-12 educators. However, data limitations have led to considerable uncertainty and conflicting reports about the nature of staffing challenges in schools. We draw on education employment data from the Bureau of Labor Statistics…

The current study sought to evaluate the SASTSc in two samples of students taking a statistics course that incorporates statistical software. The SASTSc was given at two time points, once at the beginning of the semester and then again at the end of the semester. Our evaluation included examining competing factor analytic models, examining…

In the data science courses at the University of British Columbia, we define data science as the study, development and practice of reproducible and auditable processes to obtain insight from data. While reproducibility is core to our definition, most data science learners enter the field with other aspects of data science in mind, for example…

This study fit a Naïve Bayesian classifier to the words of exam items to predict the Bloom's taxonomy level of the items. We addressed five research questions, showing that reasonably good prediction of Bloom's level was possible, but accuracy varies across levels. In our study, performance for Level 2 was poor (Level 2 items were misclassified…

This study aimed to examine the impact of game and simulation-based learning environments on the success, concept knowledge, and attitude of prospective teachers regarding probability. The sample of the study consisted of 94 prospective mathematics teachers. The study was conducted in accordance with the quasi-experimental study design and the…

The authors present a new classroom-tested lesson that was designed to engage students in the joy of mathematical inquiry through a card game, Frustration, while building number sense, understanding of uncertainty, statistical reasoning, and discourse skills. The purpose in developing and sharing these lessons is to highlight how games of chance…

Statistical learning is a key concept in our understanding of language acquisition. Ample work has highlighted its role in numerous linguistic functions--yet statistical learning is not a unitary construct, and its consistency across different language properties remains unclear. In a meta-analysis of auditory-linguistic statistical learning…

The reasons why Brazilian civil engineering education has not achieved competitive performance worldwide remain unclear. Thus, this study aims to identify what factors influence student performance in civil engineering undergraduate programs in public institutions in Brazil. Multiple linear regression methods were used to analyse the interactions…

Business Statistics is a required course for undergraduate business majors and presents significant challenges for students with weak quantitative and critical thinking skills. This paper shows that changing the pre-requisite for the Business Statistics course from Business Calculus to Probability and Statistics makes a significant positive…