Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…

Various areas of educational research are interested in the transitions between different states--or events--in sequential data, with the goal of understanding the significance of these transitions; one notable example is affect dynamics, which aims to identify important transitions between affective states. Unfortunately, several works have…

Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…

As virtual reality (VR) becomes more commonly used in education, it is important to understand the technology's weakness and mitigate any potential negative effects on student success. One adverse side-effect of VR use is simulation-induced motion sickness, known in the context of VR as VR sickness. Previous research by Howard and Van Zandt (2021)…

Virtual Reality (VR) technology has become a powerful tool for Second Language (L2) learning, but few studies have explored the factors influencing learners' experiences and intentions, particularly in developing countries like India. The purpose of the study is to reveal both the reception of VR technology for L2 learning in India and the factors…

Although parallel analysis has been found to be an accurate method for determining the number of factors in many conditions with complete data, its application under missing data is limited. The existing literature recommends that, after using an appropriate multiple imputation method, researchers either apply parallel analysis to every imputed…

Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…

Virtual reality (VR) has the potential to revolutionize the way we learn and educate, enhancing and supplementing the traditional learning experience by providing new ways to interact with information and people. However, its full potential in education has yet to be fully realized, as work in this space requires resolving cutting-edge technical…

Online teaching has drastically increased over recent years. Although presentation of teaching videos in 360-degree on Virtual Reality headsets was shown to be more immersive than 2D videos, it is under debate whether people learn better from immersive 360-degree videos or 2D videos. The current preregistered study aimed to compare students'…

This study aims to reveal pre-service teachers' experience in virtual museum design that they can use in social studies teaching, and their opinions on virtual museum applications. In line with this purpose, phenomenology design was used as one of the qualitative research approaches. Selected by the criterion sampling method, the study sample…

The study investigates the impact of virtual reality technologies on the training of managers in the tourism industry using the ATLAS platform. A survey conducted among 300 professionals in the tourism sector in Russia, Kazakhstan, and Jordan allowed for the identification of differences in the perception of virtual training among Russian and…

This study explores the transformative journey of higher education towards smart universities, emphasizing integrating cutting-edge technologies such as augmented reality, virtual reality, artificial intelligence, and biometric systems. This evolution responds to the evolving demands of society, aiming to significantly enhance the educational…

Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…

Generalized structured component analysis (GSCA) is a multivariate method for specifying and examining interrelationships between observed variables and components. Despite its data-analytic flexibility honed over the decade, GSCA always defines every component as a linear function of observed variables, which can be less optimal when observed…

The purpose of this mixed methods study was to determine how communication evaluation by clinical faculty compared in a clinical setting versus a simulation setting for Bachelor of Science in Nursing (BSN) students. Fifty (50) BSN students from three different schools of nursing were scored using the Interprofessional Situation, Background,…