Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…

Research has indicated that undergraduate students struggle with conceptual understanding of confidence intervals, negatively impacting statistical literacy skills, and advocates have suggested the flipped classroom pedagogy as a potential solution. The purpose of this nonequivalent control group quasi-experimental study was to determine if a…

The use of computer simulations in the teaching of introductory statistics can help undergraduate students understand difficult or abstract statistics concepts. The free software environment R is a good candidate for computer simulations since it allows users to add additional functionality by defining new functions. In this paper, we illustrate…

Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we…

Recent concerns about a shortage of capacity for statistical and numerical analysis skills among social science students and researchers have prompted a range of initiatives aiming to improve teaching in this area. However, these projects have rarely re-evaluated the content of what is taught to students and have instead focussed primarily on…

Research on classroom response systems (CRSs) in chemical education has primarily focused on the development of evidence-based strategies for implementation and novel practitioner uses of CRSs in instructional practice. Our national survey of postsecondary chemistry faculty extends these discussions, providing a broad-based understanding of the…

Online instructional videos are becoming increasingly common within education. This study adopts a quasi-experimental 2 × 2 crossover design (control and experimental groups) to evaluate the efficacy of instructional videos to teach practical rehabilitation skills. The students performed practical sessions in class and were formatively assessed by…

This study investigates the link between writing tasks, learners' learning style preference, and writing strategy use. It also investigates if students with various proficiency levels stem from different learning style preference and use different writing strategies. This research attempts to answer the following research questions: what are the…

Undergraduate students' perceptions of their presences in online learning environments are critical in creating online courses that can best enhance their learning. Hence, understanding how learners perceive their presences in the online environment could assist course designers and instructors in creating quality online learning experiences. The…

Computerized lessons employing stimulus equivalence technology, used previously under laboratory conditions to teach inferential statistics concepts to college students, were employed in a group setting for the first time. Students showed the same directly taught and emergent learning gains as in laboratory studies. A brief paper-and-pencil…

Bootstrapping methods and random distribution methods are increasingly recommended as better approaches for teaching students about statistical inference in introductory-level statistics courses. The authors examined the effect of teaching undergraduate business statistics students using random distribution and bootstrapping simulations. It is the…

Inference for causal effects is a critical activity in many branches of science and public policy. The field of statistics is the one field most suited to address such problems, whether from designed experiments or observational studies. Consequently, it is arguably essential that departments of statistics teach courses in causal inference to both…

A mental model analysis was conducted with 27 graduate and 29 undergraduate students in the statistical hypothesis testing domain to determine the nature of relevant mental models that can be taught to novices. Results suggest the efficacy of using separate and diagrammatic strategies in teaching novices introductory hypothesis testing. (SLD)