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.…

Gamification has emerged in recent years as an application of game mechanics to improve learning processes through increased motivation and engagement. Civil engineering is a suitable field for gamification because it encompasses a variety of areas involving both management and fieldwork tasks. To gain insight into the use of gamified approaches…

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…

Detecting and mitigating wormhole attacks in wireless networks remains a critical challenge due to their deceptive nature and potential to compromise network integrity. This paper proposes a novel approach to wormhole detection by leveraging propagation delay analysis between network nodes. Unlike traditional methods that rely on signature-based…

This article introduces the development process of social presence-enabled augmented reality (SPEAR) tool, an innovative augmented reality (AR) based learning application tailored for online engineering education. SPEAR focuses on a learning module of structural beam-bending, empowering users to seamlessly integrate 3-D virtual beams into their…

The random intercept cross-lagged panel model (RICLPM) decomposes longitudinal associations between two processes X and Y into stable between-person associations and temporal within-person changes. In a recent study, Bailey et al. demonstrated through a simulation study that the between-person variance components in the RICLPM can occur only due…

Virtual reality (VR) has gained prominence and a growing prevalence. However, parental attitudes toward using VR for educational purposes (i.e., educational VR (EVR)) are under-researched. This study investigates parents' perceptions and experiences regarding the use of EVR, focussing on mathematics learning. Using the technology acceptance model…

Item position effect (IPE) refers to situations where an item performs differently when it is administered in different positions on a test. The majority of previous research studies have focused on investigating IPE under linear testing. There is a lack of IPE research under adaptive testing. In addition, the existence of IPE might violate Item…

Popular item response theory (IRT) models are considered complex, mainly due to the inclusion of a random factor variable (latent variable). The random factor variable represents the incidental parameter problem since the number of parameters increases when including data of new persons. Therefore, IRT models require a specific estimation method…

Laboratory activities are central to undergraduate student learning in science and engineering. With advancements in computer technology, many laboratory activities have shifted from providing students experiments in a physical mode to providing them in a virtual mode. Further, physical and virtual modes can be combined to address a single topic,…

This study examines the evolution of educational practices in the digital era and the integration of information technologies in teaching. Through an automated search in six digital libraries, we identified 99 relevant studies spanning the period from 1990 to 2021. We draw on a systematic mapping approach to classify these studies for better…

Recently, there has been a growing interest in the potential of virtual reality-based teacher training (VRBTT). Despite this surge, the impact of VRBTT on teacher training outcomes remains unclear and cannot be generalized from generic VR-based training approaches. This study aimed to evaluate the overall effects of VRBTT and explore potentially…

Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…

Background: Virtual laboratories are used to supplement or even replace physical laboratories in engineering education. Although these virtual laboratories allow students to learn foundational experimental skills, they do not provide the learners with the chance to develop higher-order thinking skills (HOTS). Computational thinking (CT) is an…