Racism impacts the lives of students who identify as Black, Indigenous, or People of Color (BIPOC) in a myriad of ways. It is important that future teachers go beyond individual acts of racism to understand how racism operates as a system. To this end, we designed and implemented a statistical investigation with 13 preservice teachers using real…

Bayesian Knowledge Tracing (BKT) is a well-established model for formative assessment, with optimization typically using expectation maximization, conjugate gradient descent, or brute force search. However, one of the flaws of existing optimization techniques for BKT models is convergence to undesirable local minima that negatively impact…

Purpose: This meta-analysis study aimed to determine the optimal level of talker variability in training to maximize second-language speech learning. Method: We conducted a systematic search for studies comparing different levels of talker variability in nonnative speech training, published through July 2024. Two independent reviewers screened…

Small sample sizes contribute to several problems in research and knowledge advancement. This conceptual replication study confirmed and extended the inflation of type II errors and confidence intervals in correlation analyses of small sample sizes common in kinesiology/exercise science. Current population data (N = 18, 230, & 464) on four…

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'…

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 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…

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…

This simulation study examines the characteristics of the Explanatory Item Response Model (EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum and mean scores and item response theory (IRT)-based theta scores. Results show that the EIRM and IRT theta scores provide generally equivalent bias and false positive…

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…