Gaining knowledge of statistics is important in most (under)graduate programs within the social and behavioral sciences and requires repeated study by students, highlighting the need for good practice materials. We describe the development of an open item bank of statistics exercises by a community of instructors from Dutch universities: the…

A commonly-held belief is that many university students are 'assessment-driven'; that is, students engage more with activities that are assessed compared with those that are not. 'Incentivised engagement' includes the practice of providing incentives (such as marks or otherwise) for students to engage in particular activities. Perusall is a social…

This study explores whether AI-generated adaptive feedback or static feedback is favourable for student interest and performance outcomes in learning statistics in a digital learning environment. Previous studies have favoured adaptive feedback over static feedback for skill acquisition, however, without investigating the outcome of students'…

This research examines students' emotional states during a virtual course at a Finnish university. The mixed methods study drew on students' experienced emotions, perceived course value, perceived control, and open-ended descriptions related to their emotions. The sample consisted of 85 university students. Data were collected at nine measurement…

The enclosed materials contain fiscal year 2024 (July 1, 2023 through June 30, 2024) responses from Illinois' public Community College System to the "African American Employment Plan Survey" (Public Act 096-1341). The legislation requests that each community college provide an annual assessment of strategies and progress in the hiring…

The enclosed materials contain fiscal year 2024 (July 1, 2023 through June 30, 2024) responses from Illinois' public Community College System to the "Asian American Employment Plan Survey" (Public Act 097-0856). The legislation requests that each community college provide an annual assessment of strategies and progress in the hiring and…

In this study, we applied multilevel piecewise linear regression with a random-effects model under a Bayesian estimation framework to a total of 5,072 7th grade students in 35 schools to search for an optimum time in terms of the effect of homework time on student academic achievement. First, we found a nonlinear relationship between time spent on…

This study examines how a data science learning module can be added to a middle school programming curriculum for gifted students. Six gifted students participated in a seven-week program focused on data science using Python programming. We conducted semi-structured interviews with the students' information technology teacher before and after the…

Background: Student anxiety about statistics may lead to poorer learning outcomes. Objective: The purpose of this study was to evaluate an exercise designed to teach students in an introductory statistics class the principles of bivariate regression and to emphasize how statistical tools used by psychologists are also implemented in other fields.…

According to Bayesian models of judgment, testimony from independent informants has more evidential value than dependent testimony. Three experiments investigated learners' sensitivity to this distinction. Each experiment used a social version of the balls-and-urns task, in which participants judged which of two urns was the most likely source of…

E-learning opportunities have become an increasingly important component of university education. Various laboratory studies have shown that e-learning environments can meaningfully enhance learning by incorporating various interventions and design choices (e.g., providing feedback and scaffolds). However, many computer-based interventions have…

The Survey of Attitudes Toward Statistics (SATS) is a widely used family of instruments for measuring attitude constructs in statistics education. Since the development of the SATS instruments, there has been an evolution in the understanding of validity in the field of educational measurement emphasizing validation as an on-going process. While a…

Missing covariates is a common issue when fitting meta-regression models. Standard practice for handling missing covariates tends to involve one of two approaches. In a complete-case analysis, effect sizes for which relevant covariates are missing are omitted from model estimation. Alternatively, researchers have employed the so-called…

Experiments in psychology or education often use logistic regression models (LRMs) when analyzing binary outcomes. However, a challenge with LRMs is that results are generally difficult to understand. We present alternatives to LRMs in the analysis of experiments and discuss the linear probability model, the log-binomial model, and the modified…

Over the last decade, there has been a 10-fold increase in the number of published systematic reviews of prevalence. In meta-analyses of prevalence, the summary estimate represents an average prevalence from included studies. This estimate is truly informative only if there is no substantial heterogeneity among the different contexts being pooled.…