This study explores the effect of epistemic and achievement learning emotions on student engagement and performance in a foundational business and economics course. We focus on the interaction between epistemic emotions, e-tutorial trace data, and achievement emotions within the context of a compulsory introductory mathematics and statistics…

We study how colleges shape their students' voting habits by linking millions of SAT takers to their college-enrollment and voting histories. To begin, we show that the fraction of students from a particular college who vote varies systematically by the college's attributes (e.g. increasing with selectivity) but also that seemingly similar…

This study examines, with focus on statistical education, how intersectionality appears in didactic tasks for Brazilian school education, developed by IBGEeduca, an educational platform organized by IBGE (Brazilian Institute of Geography and Statistics). In this study, intersectionality was used as an analytical tool to help understand and explain…

During the COVID- 19 pandemic, when her school shifted to distance learning, and anti- Asian hate crimes reached alarming heights of racially targeted attacks, Susie Sujin Min found herself suffering in silence. The distressing news and video footage of horrendous hate crimes were having their intended impact, leaving her as an Asian American…

Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…

We examine the impact of "Bio"logy "M"entoring and "E"ngagement (BIOME) near-peer mentorship on 437 first-year undergraduate students over three cohort years. The BIOME course consists of ten, 50-minute meetings where groups of six first-year mentees meet with an upper-division student mentor to discuss topics…

In recent years, harmonic regression models have been applied to implement quality control for educational assessment data consisting of multiple administrations and displaying seasonality. As with other types of regression models, it is imperative that model adequacy checking and model fit be appropriately conducted. However, there has been no…

Developmental surveillance tools are used to closely monitor the early development of infants and young children. This study provides a novel implementation of a multidimensional item response model, using Bayesian hierarchical priors, to construct developmental profiles for a small sample of children (N = 115) with sparse data collected through…

From March 2020, the Mathematics Support Centre at University College Dublin, Ireland, and the Mathematics Education Support Hub at Western Sydney University, Australia, moved wholly online and have largely remained so to the point of writing (August 2021). The dramatic and swift changes brought on by COVID-19, in particular to fully online modes…

In this paper is proposed a straightforward model selection approach that indicates the most suitable count regression model based on relevant data characteristics. The proposed selection approach includes four of the most popular count regression models (i.e. Poisson, negative binomial, and respective zero-inflated frameworks). Moreover, it…

Previous studies have found that good physical exercise can promote academic performance, but the underlying mechanism behind this lacks large-scale empirical data. Based on this, we used the 2020 Jiangsu Province academic quality monitoring data to construct an OLS regression. Then, the non-cognitive abilities variable was built with the NEO-FFI…

The present study proposes a Bayesian approach for estimating and testing the operation-specific learning model, a variant of the linear logistic test model that allows for the measurement of the learning that occurs during a test as a result of the repeated use of the operations involved in the items. The advantages of using a Bayesian framework…

Massive Open Online Courses, universally labelled as MOOCs, become more and more relevant in the era of digitalization of higher education. The availability of free education resources without access restrictions for a plenty of potential users has changed the learning market in a way unthinkable only few decades ago. This form of web-based…

This mixed methods study investigates novice teacher and coach survey responses from a two-year induction programme to learn more about what makes a good match. We qualitatively analyse comments from all novice teachers and coaches who were paired across years and find shared themes of structural, professional, and personality similarities as well…

Using panel data from three successive collective bargaining (CBA) negotiation cycles from 277 California school districts in a difference-in-differences framework, I investigate the relationship between changes in CBA restrictiveness and racial and economic achievement gaps over time. I find that achievement gaps in California are smaller where…