This study proposed Gibbs sampling algorithms for variable selection in a latent regression model under a unidimensional two-parameter logistic item response theory model. Three types of shrinkage priors were employed to obtain shrinkage estimates: double-exponential (i.e., Laplace), horseshoe, and horseshoe+ priors. These shrinkage priors were…

In meta-analyses of rare events, it can be challenging to obtain a reliable estimate of the pooled effect, in particular when the meta-analysis is based on a small number of studies. Recent simulation studies have shown that the beta-binomial model is a promising candidate in this situation, but have thus far only investigated its performance in a…

Simulation has been considered a valid pedagogy for health professionals in education and actual practice. Its proper execution is vital for proper assimilation of knowledge, skills, and attitudes within the pre-licensure students throughout their curricular journey. High fidelity and multi-patient simulation scenarios were employed for beginner…

Virtual reality training has evolved from aviation warfighting usage, such as aircraft pilot training, to aviation maintenance. Aviation maintenance training should be an essential aspect of continuous maintenance personnel. The problem addressed in this study was the lack of training and understanding of virtual reality technology by senior…

Self-study is an integral part of chemistry learning, whereby the students consume knowledge outside of the classroom environment. The COVID-19 pandemic magnified the need for efficient methods of synchronous and asynchronous instructional content delivery worldwide. Virtual reality (VR) presents a prospective technological solution to aid…

Autistic children's social skills do not always align with those of their neurotypical peers and research suggests that this can negatively impact quality of life. This review aimed to assess the effectiveness of extended reality (XR) interventions in helping autistic children to enhance their social skills. Five electronic databases were…

We consider the statistical inference for noisy incomplete binary (or 1-bit) matrix. Despite the importance of uncertainty quantification to matrix completion, most of the categorical matrix completion literature focuses on point estimation and prediction. This paper moves one step further toward the statistical inference for binary matrix…

The development of best strategies for improving learning engagement in the field of mental health nursing education, is a challenge for teachers. Using self-reflection, students are facilitated to actively participate in their own learning process, improving their efforts to understand and perform best practice for patients. This study aimed to…

This study examined whether answering focused explanative questions during pauses in an immersive virtual reality (IVR) lesson on pipetting procedures could enhance learning. The goal was to take a generative learning activity, known to be effective for declarative knowledge with conventional media, to the context of procedural knowledge with…

Aim/Purpose: This study explores the effectiveness of a virtual reality (VR) application designed to teach Theory of Mind (ToM) skills to children aged 5-6, addressing the gap in research on the use of VR for typically developing children. Background: ToM is a critical skill for social interaction and understanding others' perspectives. Despite…

Psychomotor skill training has traditionally relied on the physical presence of both teacher and learner for effective demonstrations and feedback, posing challenges for remote and self-directed learning. Technological advancements have given rise to immersive learning environments (ILEs), offering novel solutions for interactive and multimodal…

Virtual Reality has the potential to transform educational experiences. This evolution, from the earliest days of projecting and viewing stereoscopic static images to the immersive headset experiences possible today, allows VR to transport students to new locations, enable them to participate in virtual spaces and simulations, and design 3-D…

This exploratory study, framed by the Contextual Model of Learning, sought to define the personal context of autistic visitors and their families attending a sensory-friendly natural history museum event as a science learning experience. The study focused on the motivations and expectations for visiting the museum, as well as how the inclusion of…

Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…

Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…