Based on an analysis of 36 peer-reviewed publications from academic databases, including ERIC, Scopus, Web of Science, and Google Scholar, this review article provides an in-depth examination of the current trends, challenges, and future implications of metaverse-based learning in education. To ascertain the quality and applicability of the papers…

Background: School-Based Health Centers (SBHCs) have the capacity to overcome youth barriers to care. However, most schools do not have on-campus SBHCs. At Denver Health, a large safety net hospital with 19 SBHCs in Denver Public Schools, we developed a SBHC virtual care program (VCP) to link school nurses with SBHC providers to provide medical…

Simulation technologies are emerging as a possible solution to prepare Initial Teacher Education (ITE) students for the classroom and reduce undue pressure on supervising teachers. This paper presents a scoping review that reports on what is currently known regarding simulated technologies and their application to ITE programs. The review scoped…

This study builds on prior research on adaptive testing by examining the performance of item calibration methods in the context of multidimensional multistage tests with within-item multidimensionality. Building on the adaptive module-level approach, where test-takers proceed through customized modules based on their initial performance, this…

This study investigates a new model of Yellow River cultural education using virtual reality (VR) photography to enhance cultural learning and identity formation. A mixed-methods case study design was employed, with a focus on the Yellow River Guardian VR exhibition. The participants included 30 university students, 10 audience members, and 5…

Sensory differences are nearly universal in autism, but their genetic origins are poorly understood. Here, we tested how individuals with an autism-linked genotype, 16p.11.2 deletion ("16p"), attend to visual information in immersive, real-world photospheres. We monitored participants' (N = 44) gaze while they actively explored 360°…

Checking for possible inconsistency between direct and indirect evidence is an important task in network meta-analysis. Recently, an evidence-splitting (ES) model has been proposed, that allows separating direct and indirect evidence in a network and hence assessing inconsistency. A salient feature of this model is that the variance for…

Meta-analyses have become the gold standard for synthesizing evidence from multiple clinical trials, and they are especially useful when outcomes are rare or adverse since individual trials often lack sufficient power to detect a treatment effect. However, when zero events are observed in one or both treatment arms in a trial, commonly used…

Firefighters face many high-risk situations, from battling fires to managing hazardous materials and medical emergencies. The inherent dangers of these scenarios are reflected in the statistics from the U.S. Fire Administration, which reported 141 on-duty firefighter fatalities in 2021. Recognizing the critical need for enhanced safety, the…

The "LFK" index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the "LFK" index test to three standard tests for funnel plot asymmetry in settings with smaller or larger…

This study examines the impact of various factors on teachers' anxiety toward teaching in Virtual Reality (VR) environments. Specifically, the research proposes a hypothetical model and investigates the influence of technical proficiency, self-efficacy, and school support on VR teaching anxiety. A total of 329 teachers with prior experience in VR…

Estimating confidence intervals (CIs) for the correlation has been a challenge because the correlation sampling distribution changes depending on the correlation magnitude. The Fisher z-transformation was one of the first attempts at estimating correlation CIs but has historically shown to not have acceptable coverage probability if data were…

For educational institutions in science, technology, engineering and mathematics (STEM) areas, the provision of practical learning scenarios is, traditionally, a major concern. In the 21st century, the explosion of information and communication technology (ICTs), as well as the universalization of low-cost hardware, has allowed the proliferation…

The evolving complexity of Virtual Reality (VR) technologies necessitates an in-depth investigation of the VR features and their specific utility. Although VR is utilized across various skill-training applications, its successful deployment depends on both technical maturity and context-specific suitability. A comprehensive understanding of…

Penalized structural equation models (PSEM) is a new powerful estimation technique that can be used to tackle a variety of difficult structural estimation problems that can not be handled with previously developed methods. In this paper we describe the PSEM framework and illustrate the quality of the method with simulation studies.…