This study aims to determine students' opinions about the educational use of the Metaverse. The study was conducted during the fall semester of the 2021-2022 academic year. The sample of the study consists of 34 second-year students at the Department of Computer Engineering of a state university in the Southeast Anatolia region of Turkey. The…

Advances in immersive virtual reality (I-VR) technology have allowed for the development of I-VR learning environments (I-VRLEs) with increasing fidelity. When coupled with a sufficiently advanced computer tutor agent, such environments can facilitate asynchronous and self-regulated approaches to learning procedural skills in industrial settings.…

Training through simulation in neonatology relies on sophisticated simulation devices that give realistic feedback to trainees during simulated scenarios. It aims at training highly specialised medical teams in established operational skills, timely clinical manoeuvres, and successful synergy with other professionals. For effective teaching, it is…

The use of augmented reality (AR) in teaching and studying neuroanatomy has been well researched. Previous research showed that AR-based learning of neuroanatomy has both alleviated cognitive load and was attractive to young learners. However, how the attractiveness of AR effects student motivation has not been discovered. Therefore, the…

Most applications of virtual reality and technology used in counseling occur in the context of client intervention and treatment. This article presents how virtual enhanced education tools such as virtual reality, augmented reality, and 360° videos provide a stage for constructing creative opportunities for experiential learning in counselor…

The present simulation study examined the statistical properties (namely, Type I error and statistical power) of various novel randomized single-case multiple-baseline designs and associated randomized-test analyses for comparing the A- to B-phase immediate abrupt outcome changes in two independent intervention conditions. It was found that with…

Virtual learning environments have been recognized as an area of particular importance by which educators can use to improve desirable learning behaviours. Investigating the impact of different virtual environments on learners' behaviours has become the centre of attention of researchers, especially during COVID-19. The homophily effect of…

Metaverse is a concept that has existed in our lives for years. However, it has become widely known by gaining new meanings thanks to the developments in blockchain and virtual reality technologies and the marketing techniques of social media companies. The aim of this study is to examine the studies on the use of Metaverse technology in…

The educational system is presently undergoing a substantial change to improve the teaching-learning process of all engineering domains. This includes the utilization of user-friendly simulation tools as part of the laboratory for an enhanced practical experience on a virtual platform. Owing to the advantages of virtual experimentation,…

This study compared three approaches for handling a fourth level of nesting when analyzing cluster-randomized trial (CRT) data. Although CRT data analyses may include repeated measures, individual, and cluster levels, there may be an additional fourth level that is typically ignored. This study examined the impact of ignoring this fourth level,…

This article addresses the problem of traffic congestion through a learning perspective, highlighting the capabilities of information, and communication technologies to transform society. Recent physical and mathematical analysis of congestion reveals that training drivers to keep a safe distance systematically contributes to the emergence and…

After the COVID-19 pandemic, both teachers and learners have reached a new understanding in the use of technology. With the change in the understanding of education, their access to technology has become a necessity. The adoption of Internet technologies as a learning tool facilitated the adoption of the metaverse environment. One of the most…

Item Response Theory (IRT) models are a popular analytic method for self report data. We show how traditional IRT models can be vulnerable to specific kinds of asymmetric measurement error (AME) in self-report data, because the models spread the error to all estimates -- even those of items that do not contribute error. We quantify the impact of…

Hierarchical data is often observed in education data. Analyzing such data with Multilevel Modeling becomes crucial to understanding the relationship at the individual and group levels. However, one of the most significant problems with this kind of data is small sample sizes and very low Intraclass Correlations. The multivariate Latent Covariate…

Multistage adaptive testing (MST) has become popular in the testing industry because the research has shown that it combines the advantages of both linear tests and item-level computer adaptive testing (CAT). The previous research efforts primarily focused on MST design issues such as panel design, module length, test length, distribution of test…