Augmented Reality (AR) is believed a suitable teaching method for beginning-level Chinese as a Foreign Language (CFL) learners in learning Chinese characters, as the effects of AR on visualization may enhance recognition of pictographic characters and the integration of multimedia may facilitate comprehension of this logographic language. Yet the…

Schools and school teachers often focus on content aimed at delaying sexual debut and preventing teenage pregnancy, and address the impacts of risky behaviours on infant health. Infant simulators are increasingly used in health education courses. However, it is unclear how effective this education is. In this review, we examined the evidence for…

Medical simulations allow trainees to work within teams to develop their self-regulated learning (SRL) and socially-shared regulated learning (SSRL) skills (Bransen et al., 2022). Both skillsets help to better prepare medical trainees for the multifaceted challenges inherent in clinical practice. SRL skills are imperative in empowering learners to…

Authenticity in simulation-based learning is linked to cognitive processes implicated in learning. However, evidence on authenticity across formats is insufficient. We compared three case-based settings and investigated the effect of discontinuity in simulation on perceived authenticity. In a quasi-experiment, we compared formats of simulation in…

The rapid evolution of digital marketing, characterized by the surge in digital channels and data, has amplified the demand for graduates specialized in digital marketing analytics (DMA). Yet, marketing educators contend with insufficient theoretical guidance and practical pedagogical methods in the course design that aligns with industry…

Data visualization is a powerful strategy for using graphics to represent data for effective communication and analysis. Unfortunately, creating effective data visualizations is a challenge for both novice and expert design users. The task often involves an iterative process of trial and error, which by its nature, is time-consuming. Designers…

Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, noniterative estimator for latent variable models. Associated with this estimator are equation-specific tests of model misspecification. One issue with equation-specific tests is that they lack specificity, in that they indicate…

Real data are unlikely to be exactly normally distributed. Ignoring non-normality will cause misleading and unreliable parameter estimates, standard error estimates, and model fit statistics. For non-normal data, researchers have proposed a distributionally-weighted least squares (DLS) estimator to combines the normal theory based generalized…

In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…

In the context of Indian education, the emphasis transcends mere knowledge acquisition, extending to the cultivation of a profound respect for duties, values, and overall well-being. The overarching objective is to mold students into responsible global citizens, equipping them with the necessary skills and values for meaningful contributions to…

Virtual reality (VR) technology plays a significant role in nursing education by enhancing the quality of training by applying knowledge, decision-making, intervention completion and feedback. This study aims to examine nursing students' experiences and perceptions regarding the ventrogluteal injection training provided through VR technology.…

Technology is increasingly being integrated into classrooms worldwide to enhance learning outcomes, and simulation technologies are becoming more popular to create realistic scenarios in controlled academic settings. However, simulation studies in agricultural education have been limited, making it difficult to assess the impact of simulation…

Simulations were conducted to establish best practice in hyperparameter optimization and accounting for clustering in Generalized Linear Mixed-Effects Model Trees (GLMM trees). Using data-driven best practices, the relationship between a 9th Grade On-Track to Graduate (9G-OTG) indicator and observed high school graduation within four years was…

This study aims to determine how the use of virtual reality impacts physics students, their knowledge, and the quality of training. The study involved 116 students aged 17-19. The main purpose is to explore the effect that VR technology has on students' knowledge and motivation. As per usual, the students were divided into two research groups:…

The use of high-fidelity simulation and standardized patients (SPs) in occupational therapy (OT) education is expanding. However, the implementation of simulation varies across programs, leading to inconsistent outcomes and research limitations. Furthermore, details on SP use and training are lacking in OT literature. This article aims to provide…