Epistemic beliefs are individuals' beliefs about knowledge and knowing. Modelling them is currently based on two central assumptions. First, epistemic beliefs are conceptualized as a multi-level construct, i.e. they exist on a general, academic, domain-specific and/or topic-specific level. Second, research assumes that their more concrete levels…

In U.S. schools, Black and Latinx youth receive disciplinary action at rates greater than their White peers. In the context of systemic racism in the United States, proposed systemic solutions such as school-wide positive behavioral interventions and supports (SWPBIS) should be evaluated for their effectiveness in producing more equitable school…

Using simulation-based inference (SBI), such as randomization tests, as the primary vehicle for introducing students to the logic and scope of statistical inference has been advocated with the potential of improving student understanding of statistical inference and the statistical investigative process. Moving beyond the individual class…

This paper argues for increased attention to quantitative literacy in undergraduate critical human geography curriculum. The rationale is twofold: On the one hand, it is increasingly easy to integrate quantitative material into curriculum, given the widespread availability of open-source or low-cost platforms for interpreting data. On the other…

This paper proposes a new way of flipping small group classes in quantitative courses by active reading and peer marking using the virtual learning environment. We aim to engage students in the learning material by attempting a problem followed by peer marking based on some given solution guideline before they are exposed to another similar…

In this article, we outline several activities revolving around soccer players who participated in the 2018 FIFA World Cup and 2019 FIFA Women's World Cup. Classroom activities are described from different perspectives, useful for a range of different statistics courses. In a first semester probability theory course, students investigate the…

In spring of 2020, a global pandemic shifted American institutions of higher education into a crisis with unprecedented unknown information, guidelines that changed continuously, and impacted the personal and professional lives of students, faculty and staff. This study examined the relationships (1) between campus size, geographic setting, locus…

Despite policy relevance, longer-term evaluations of educational interventions are relatively rare. A common approach to this problem has been to rely on longitudinal research to determine targets for intervention by looking at the correlation between children's early skills (e.g., preschool numeracy) and medium-term outcomes (e.g., first-grade…

Detection of differential item functioning (DIF) by use of the logistic modeling approach has a long tradition. One big advantage of the approach is that it can be used to investigate nonuniform (NUDIF) as well as uniform DIF (UDIF). The classical approach allows one to detect DIF by distinguishing between multiple groups. We propose an…

In the machine learning literature, it is commonly accepted as fact that as calibration sample sizes increase, Naïve Bayes classifiers initially outperform Logistic Regression classifiers in terms of classification accuracy. Applied to subtests from an on-line final examination and from a highly regarded certification examination, this study shows…

Although ordinary least-squares (OLS) regression has been identified as a preferred method to calculate rates of improvement for individual students during curriculum-based measurement (CBM) progress monitoring, OLS slope estimates are sensitive to the presence of extreme values. Robust estimators have been developed that are less biased by…

University class structure is changing. To accommodate working students, programmes are increasing their offerings of long night classes--some lasting as long as six hours. While these long classes may be more convenient for students, they have unintended consequences as a result of cognitive load. Using a panel of 124 students (372 observations)…

Statistical literacy refers to understanding fundamental statistical concepts. Assessment of statistical literacy can take the forms of tasks that require students to identify, translate, compute, read, and interpret data. In addition, statistical instruction can take many forms encompassing course delivery format such as face-to-face, hybrid,…

Pressing problems of environmental degradation are typically argued to require coordination, primarily through state intervention. Social scientists are struggling to understand how attitudes toward such state interventions are formed, and several drivers have been suggested, including education. People with university degrees are assumed to have…

Research has shown the importance of goal orientation in predicting academic performance for children, adolescents, and college students in traditional educational settings. Studies on this relationship within adult distance education, however, are lacking. To fill this gap, the present study was conducted to investigate the relationship between…