Although voting is a fundamental mechanism through which Americans engage with their democracy, social workers often do not see it as a valid component of practice. Voting is an important source of political power and provides a means to ensure equitable representation. Educating social work students on how they can encourage voter engagement…

Despite being a fundamental concept in biology, evolution continues to be one of the most challenging topics to teach in science education. Ideas of evolution emphasising anatomical or behavioural features of individuals, as opposed to the interplay between genetics and the environment, are reinforced through language and culture, making them…

Due to the pure novelty of the concept of teacher L2 grit, scant research attention has been dedicated to the exploration of its antecedents within the domain of foreign language education. Therefore, the present study aimed to explore whether English as a Foreign Language (EFL) teachers' L2 grit could be predicted by their sense of self-efficacy…

The process of turning a doctoral student into an independent researcher is usually guided by a professor. In this work, the supervisor-supervisee relationship is represented by a scheme inspired by Michaelis-Menten kinetics, which has been used to determine the rate of enzyme-catalysed reactions. Here, the time evolution of the number of…

Scaled analog modeling ("sandbox modeling") allows deformational processes, such as the development of a mountain belt, to be observed in real time in a classroom setting. However, the actual learning gains from exposure to sandbox modeling in geology courses in higher education settings have not been explicitly studied. We begin to…

When remembering over the short-term, long-term knowledge has a large effect on the number of correctly recalled items and little impact on memory for order. This is true, for example, when the effects of semantic category are examined. Contrary to what these findings suggest, Poirier et al. in 2015 proposed that memory for order relies on the…

The samples of evidence we use to make inferences in everyday and formal settings are often subject to selection biases. Two property induction experiments examined group and individual sensitivity to one type of selection bias: sampling frames - causal constraints that only allow certain types of instances to be sampled. Group data from both…

Immigrant college students often encounter daunting tasks and obstacles when exploring career paths, seeking employment and experiential learning opportunities aligned with their interests within the dominant US higher education structure. Considering that there is a career services and development literature gap on immigrant students (who…

The various empirical models built for enrollment management, operations, and program evaluation purposes may have lost their predictive power as a result of the recent collective impact of COVID restrictions, widespread social upheaval, and the shift in educational preferences. This statistical artifact is known as model drifting, data-shift,…

The second CSEDM data challenge aimed at finding innovative methods to use students' programming traces to model their learning. The main challenge of this task is how to decide which past problems are relevant for predicting performance on a future problem. This paper proposes a set of weighting schemes to address this challenge. Specifically,…

Many graduate public affairs programs offer both residential and online options for students. One of the challenges for multi-format programs is creating a sense of belonging among online students who may never set foot on campus. In 2017, the MPA program at the University of North Carolina at Chapel Hill developed an "immersion" course…

Early math skills predict later academic achievement and are of critical importance in preschool. There also are discrepancies in early math skills of preschoolers with disabilities compared with their typically developing peers. We used an experimental single-case research design, multiple probe across skills, to investigate the effectiveness of…

As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…

This article argues that Agent-Based Modelling, owing to its capabilities and methodology, has a distinctive contribution to make to delivering coherent social science prediction. The argument has four parts. The first identifies key elements of social science prediction induced from real research across disciplines, thus avoiding a straw person…

This article presents a conceptual replication of Hashimoto and Egbert (https://doi.org/10.1111/lang.12353), a study that featured multivariate models where lexical sophistication variables accounted for word difficulty (yes-no recognition) better than frequency alone among learners of English as a second or foreign language from North America.…