Background: Current evaluation methods for nurse anesthesia students primarily assess didactic knowledge while lacking measures to evaluate students' critical thinking and application of clinical knowledge in decision making (Council on Accreditation of Nurse Anesthetists [COA], 2022; Staun et al., 2020). Purpose: This study aimed to develop an…

VR has been widely acknowledged for its capacity to allow perspective-taking, increase empathy, engage learners, and facilitate experiential learning; however, the availability, accessibility, and limitations of the content have slowed implementation. One instance of this can be seen in implementing XR content to engage global citizens with…

Forty-eight (48) K-12 teachers in two US states completed five repetitions of a 15-minute simulated teaching lesson in which six of their 12 simulated students in a class were labeled as having and were embodied with special learning needs, while the other six were without special learning needs. Analysis of three measures of differential focus in…

Multimodal Learning Analytics (MMLA) has emerged as a powerful approach within the computer-supported collaborative learning community, offering nuanced insights into learning processes through diverse data sources. Despite its potential, the prevalent reliance on traditional instruments such as tripod-mounted digital cameras for video capture…

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,…

When introducing production control solutions, most textbooks focus on a to-stock, repetitive context. In response, we extend the classical match-and-dice game, which also assumes a repetitive context, to teach complexities that emerge in a nonrepetitive setting, such as the appearance of direct and indirect load, and to introduce appropriate…

Agent-based modeling holds great potential as an analytical tool. Agent-based models (ABMs) are, however, also vulnerable to critique, as they often employ stylized social worlds, with little connection to the actual environment in question. Given these concerns, there has been a recent call to more fully incorporate empirical data into ABMs. This…

Many school-age pupils are undecided about their future vocation. This often stems from a lack of occupational information or lack of vocationally related experience. The goal of this study was to develop and evaluate an intervention focused on the possibility of changing vocational interests through the simulation of vocational activities. The…

In the logistic regression (LR) procedure for differential item functioning (DIF), the parameters of LR have often been estimated using maximum likelihood (ML) estimation. However, ML estimation suffers from the finite-sample bias. Furthermore, ML estimation for LR can be substantially biased in the presence of rare event data. The bias of ML…

Large walls and other typical boundaries strongly influence neural activity related to navigation and the representations of spatial layouts. They are also major aids to reliable navigation behavior in young children and nonhuman animals. Is this because they are physical boundaries (barriers to movement), or because they present certain visual…

The drive in computational methods and more intuitive software has seen a rise in the number of publications in this area in recent years. Computational simulations can be found in many areas of science from computational biology and chemistry to fundamental physics. These may help synthetic chemists in their drug discovery endeavors and…

This study aimed to identify and rank the serious game fidelity themes that should be considered for retaining both the learning potential and predicted market growth of serious games. The authors also investigated existing links between fidelity and AI. The methodology unraveled serious game fidelity through the co-development of a theory- and…

New items are often evaluated prior to their operational use to obtain item response theory (IRT) item parameter estimates for quality control purposes. Fixed parameter calibration is one linking method that is widely used to estimate parameters for new items and place them on the desired scale. This article provides detailed descriptions of two…

The purpose of this research was to establish a case for the use of serious simulation games as a tool to enhance the learning of sales leadership skills. The study provides taxonomy around serious simulation games as a specific modality at the intersection of serious games and simulation games, which have a focus toward education. A literature…

This article asks the question: is the "Last Banana" game fair? Engaging in this exploration provides students with the mathematical power to answer the question and the mathematical opportunity to explore important statistical ideas. Students engage in simulations to calculate experimental probabilities and confirm those results by…