In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the…

This article both describes and explains the nature of system simulations--the generation of (non-)numeric models representing characteristics, behaviors, or functions of physical or abstract systems/processes under study. For ease of presentation, I first present some of the most pressing theoretical-practical considerations concerning…

Personalized learning stems from the idea that students benefit from instructional material tailored to their needs. Many online learning platforms purport to implement some form of personalized learning, often through on-demand tutoring or self-paced instruction, but to our knowledge none have a way to automatically explore for specific…

Peer-mediation in a school environment, when carried out correctly, can benefit not only the parties of the conflict, but also their environment, including the school, the team, the family and the mediator. A serious same has been designed and a prototype developed for the training of minors and young adults as mediators. The core of the game is a…

Current models of COVID-19 transmission predict infection from reported or assumed interactions. Here we leverage high-resolution observations of interaction to simulate infectious processes. Ultra- Wide Radio Frequency Identification (RFID) systems were employed to track the real-time physical movements and directional orientation of children and…

Presenting a blank line-up--containing only fillers--to witnesses prior to showing a real line-up might be useful for screening out those who pick from the blank line-up as unreliable witnesses. We show that the effectiveness of this procedure varies depending on instructions given to witnesses. Participants (N = 462) viewed a simulated crime and…

Previous research showed that sensorimotor information affects the perception of properties associated with implied perceptual context during language comprehension. Three experiments addressed a novel question of whether perceptual context may contribute to a simulation of information about such out-of-sight objects as cast shadows. In Experiment…

In two experiments, participants tracked the identity and location of moving words. The task bears resemblance to one performed by air traffic controllers who track multiple moving aircraft, where they are identified with relatively complex alphanumeric call signs. In Experiment 1, stimulus familiarity was manipulated by comparing the tracking of…

Purpose: The purpose of this paper is to understand how task conflict and relationship conflict influence teams' transactive memory systems (TMS) and by extension team performance. Design/methodology/approach: Leveraging experiential learning theory and a popular operations management simulation tool, survey data from 341 students, who worked on…

Researchers from several disciplines concluded that deep engagement in an organization is critical to its success. However, little is known about a nursing faculty's engagement experiences with high-fidelity simulation (HFS), which could establish the critical link between deep engagement and HFS' successful integration in nursing programs.…

In this paper, the SOLO taxonomy is used to identify different levels of student understanding of the statistical concepts associated with sampling distribution. This study was part of a research project investigating students' conceptual understanding of concepts of hypothesis testing taught with the support of simulation learning activities. The…

Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…

This study evaluates various scoring methods including number-correct scoring, IRT theta scoring, and hybrid scoring in terms of scale-score stability over time. A simulation study was conducted to examine the relative performance of five scoring methods in terms of preserving the first two moments of scale scores for a population in a chain of…

The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…

This paper introduces a novel virtual method to conduct continuous distillation experiment in an undergraduate unit operation laboratory with the help of SPM 700 Distillation Column, one of the modules available in Simtronics, a commercial process operation simulator. Simtronics simulator is a powerful tool to teach process industry skills and it…