Background Study: The research discusses the need for a paradigm shift in engineering education current practices to accommodate the digital native students. The paper emphasizes the importance of integrating disruptive technologies, namely Virtual Reality (VR) through Head Mounted Displays VR (HMD VR) and Desktop Based VR (DB VR) and comparing it…

This paper explores the affordances of virtual reality (VR) simulations for facilitated model-based reasoning. Thirty-four undergraduate students engaged with simulated scientific models in head-mounted displays and their facilitator in a co-located mixed-presence configuration. We coded the facilitator--participant interactions using the…

Pearson's correlation is widely used to test for an association between two variables and also forms the basis of several multivariate statistical procedures including many latent variable models. Spearman's [rho] is a popular alternative. These procedures are compared with ranking the data and then applying the inverse normal transformation, or…

The use of VR in engineering education provides a means for contextualising learning through authentic and engaging scenarios, e.g. the touring and operation of a chemical plant. This paper presents the design of an immersive VR simulation of an existing pilot plant in the School and its evaluation through a randomised non-inferiority trial to…

To support professional competence development in teacher education, learning environments should allow learners to engage with professional tasks. It is crucial for knowledge and skill transfer in such learning environments to real-life context that preservice teachers perceive the task as authentic. However, due to a lack of prior knowledge,…

Data pooling is a powerful strategy in empirical research. However, combining multiple datasets often results in a large amount of missing data, as variables that are not present in some datasets effectively contain missing values for all participants in those datasets. Furthermore, data pooling typically leads to a mix of continuous and…

The data we encounter in real life often contain missing values. In sampling methods, missing value imputation is done with different methods. This article proposes novel logarithmic type imputation methods for estimating the population mean in the presence of missing data under ranked set sampling (RSS). According to the determined theoretical…

Practice makes perfect…this saying is a popular cliché, but it has validity when referencing the abundance of practice necessary to learn and master a new technique or skill. Like playing a game, honing a skill, or using a new technique, teaching requires practice to learn and improve. Working with preservice STEM teachers (PSTs), my goal was to…

Simulated treatment comparison (STC) is an established method for performing population adjustment for the indirect comparison of two treatments, where individual patient data (IPD) are available for one trial but only aggregate level information is available for the other. The most commonly used method is what we call 'standard STC'. Here we fit…

Conventional random-effects models in meta-analysis rely on large sample approximations instead of exact small sample results. While random-effects methods produce efficient estimates and confidence intervals for the summary effect have correct coverage when the number of studies is sufficiently large, we demonstrate that conventional methods…

In recent years, simulations in education and teaching were done within simulation centers. They are a powerful tool for having a particular professional experience in a controlled and safe environment. Since the COVID-19 pandemic began, simulations have been conducted fully online. Therefore, the current study examined the effect of simulation…

Recent reports indicate the national principal attrition rate is at an all-time high. Scholars suggest a lack of responsive professional development as a leading factor in why principals leave the field. Further, the pandemic has exposed daily uncertainties for school leaders as they navigate new territory, bringing forth new considerations in how…

The purposes of this study were (1) to introduce a virtual dental lab designed to support students' virtual clinical examinations in a dentistry program in South Korea and (2) to determine how dental students' levels of expertise (low, medium, or high) influence their clinical performance in terms of dwell time on each tooth location, total…

Sensitivity analyses encompass a broad set of post-analytic techniques that are characterized as measuring the potential impact of any factor that has an effect on some output variables of a model. This research focuses on the utility of the simulated annealing algorithm to automatically identify path configurations and parameter values of omitted…

Integrative data analyses have recently been shown to be an effective tool for researchers interested in synthesizing datasets from multiple studies in order to draw statistical or substantive conclusions. The actual process of integrating the different datasets depends on the availability of some common measures or items reflecting the same…