While common, computer presentations given during classroom lectures do not always improve learning effects; thus, this study incorporated three elements into technology-assisted classroom lectures: emphasis, augmentation, and integration. These three elements cannot be implemented simultaneously when using PowerPoint (PPT) presentations during…

Empathetic behaviors by nurses have been shown to improve both patient satisfaction and health outcomes. However, there has been a documented decline in empathy levels among the undergraduate population, including nursing students. For these reasons nurse educators have sought ways to foster and improve empathy development in nursing students.…

Purpose: Study fits JEBS category "innovative instructional classroom projects/best practices" by exploring questions in the literature about perceptions of Realism in strategy simulation. Findings: First, student survey found that perceptions about Realism were lower than perceptions about Interface and Comprehension. Second, content…

Compared with the application of Digital Twin (DT) in the industrial field, the application of DT in the field of education is still in its infancy. In this paper, a Digital Twin Campus (DTC) for teaching and learning is proposed. It is argued that DTC possesses two characteristics. First, DTC has a wide variety of employment orientations for…

This research aims to create a bibliometric map of studies on the use of metaverse in education. We used the bibliometric mapping technique from an international viewpoint to assess trends in the area of metaverse research on education by disclosing the author, publication, keyword, journal, country, and citation factors. Most research on the…

Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists discover latent variables. Yet, the results can be influenced by the methodological decisions the researcher makes along the way. In this article, we focus on the choice regarding the number of factors to retain: We compare the performance of the…

This study aims to compare normality tests in different sample sizes in data with normal distribution under different kurtosis and skewness coefficients obtained simulatively. To this end, firstly, simulative data were produced using the MATLAB program for different skewness/kurtosis coefficients and different sample sizes. The normality analysis…

Due to the science, technology, engineering, and mathematics movement and the immersive aspects of virtual reality technology, the use of virtual reality in education has grown rapidly. In the field of art education, many researchers have demonstrated the potential of using digital art and virtual worlds. Based on how technology and convincing…

Education and training activities have utilized many technologies including extended reality. This generic qualitative inquiry study looks at the lessons learned from implementing extended reality in education and training with the intent of identifying what areas should be looked at that will assist in implementing this advanced technology that…

Background: Meta-analysis refers to the statistical methods employed to combine results of several empirical studies in a topic of interest (Hedges & Olkin, 1985). Meta-analysis is often included in literature review studies to quantitatively analyze data from a collection of studies (Valentine et al., 2010). The statistical power of a…

The COVID pandemic led to a sudden expansion of telehealth in the delivery of nursing services. At the same time, nursing education was forced to extend clinical learning to online approaches. However, telehealth clinical experiences are limited in the nursing curricula of entry-level programs. Nursing simulation is an educational activity that…

The purpose of this study was to investigate the impact of time in Mixed-Reality Simulations (MRS) on anxiety levels and coping for pre-service teachers (PSTs). A convergent parallel mixed-methods design was utilized for this study. The quantitative portion of the study used a convenience sample of 10 PSTs enrolled in one of two practice-based…

Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

Immersive Virtual Reality (iVR) can help students visualise and explore complex chemical concepts, such as protein enzyme structures and interactions. We designed a set of collaborative iVR-based learning tasks on the interaction between a protein enzyme and its substrate. We investigated how 18 pairs (36 students) in undergraduate chemistry…

This study aims to examine the temporal evolution and changes of research interests and trends in the educational augmented reality (AR) literature. To this end, 3718 articles published in the 2003-2022 period and indexed in the Scopus database were analyzed through machine learning-based semantic topic modeling and descriptive analysis. The…