Prevalence rates of autism spectrum disorder (ASD) across the globe and lifespan suggest that law enforcement officers (LEOs) are likely to interact with autistic people in their professional duties. In developed countries, LEOs have professional encounters with autistic individuals, and research strongly supports LEOs need training to increase…

Background Study: The research discusses the need for a paradigm shift in engineering education current practices to accommodate the digital native students. The paper emphasizes the importance of integrating disruptive technologies, namely Virtual Reality (VR) through Head Mounted Displays VR (HMD VR) and Desktop Based VR (DB VR) and comparing it…

Simulations are a pedagogical learning tool that supports the preparation of future school leaders for a broad scope of leadership tasks, including instructional leadership. Educational leadership programs are tasked with preparing future leaders to apply effective instructional leadership practices in various types of interactions with teachers,…

This paper explores the affordances of virtual reality (VR) simulations for facilitated model-based reasoning. Thirty-four undergraduate students engaged with simulated scientific models in head-mounted displays and their facilitator in a co-located mixed-presence configuration. We coded the facilitator--participant interactions using the…

The use of VR in engineering education provides a means for contextualising learning through authentic and engaging scenarios, e.g. the touring and operation of a chemical plant. This paper presents the design of an immersive VR simulation of an existing pilot plant in the School and its evaluation through a randomised non-inferiority trial to…

We propose a novel approach for modeling judgment accuracy that, for the first time, allows for simultaneously considering the rank, level, and differentiation component, the predominantly applied operationalization of teacher judgment accuracy. These components are conceptualized as latent, unobserved individual abilities. The model is introduced…

To support professional competence development in teacher education, learning environments should allow learners to engage with professional tasks. It is crucial for knowledge and skill transfer in such learning environments to real-life context that preservice teachers perceive the task as authentic. However, due to a lack of prior knowledge,…

The data we encounter in real life often contain missing values. In sampling methods, missing value imputation is done with different methods. This article proposes novel logarithmic type imputation methods for estimating the population mean in the presence of missing data under ranked set sampling (RSS). According to the determined theoretical…

Contribution: This article proposes the systematic integration of embedded systems into training hardware to bridge the gap in structured troubleshooting education. Traditional methods often rely on manual explanations, virtual simulations, or on-the-job training, which lack structured learning experiences. The proof-of-work module, developed…

This paper describes a renal physiology review activity that can be completed during one class session. The activity is a tactile simulation in which colored beads represent various components of the blood, glomerular filtrate, tubular fluid, and interstitial fluid. Students simulate major functions of the nephron by moving beads between…

The traditional Elo rating system (ERS), widely used as a student model in adaptive learning systems, assumes unidimensionality (i.e., all items measure a single ability or skill), limiting its ability to handle multidimensional data common in educational contexts. In response, several multidimensional extensions of the Elo rating system have been…

This paper presents a novel approach for mitigating wormhole attacks on wireless networks using propagation delay timing. The wormhole attack is a persistent security threat that threatens the integrity of network communications, potentially leading to data theft or other malicious activities. While various methods exist for combating wormhole…

Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…

This study aims to suggest a generalized class of estimators for population proportion under simple random sampling, which uses auxiliary attributes. The bias and MSEs are considered derived to the first degree approximation. The validity of the suggested and existing estimators is assessed via an empirical investigation. The performance of…

Algorithmic bias is a pressing concern in educational data mining (EDM), as it risks amplifying inequities in learning outcomes. The Area Between ROC Curves (ABROCA) metric is frequently used to measure discrepancies in model performance across demographic groups to quantify overall model fairness. However, its skewed distribution--especially when…