This systematic literature review discusses the use of spherical video-based virtual reality (SVVR) as a training and therapy intervention for autistic individuals. The authors emphasize the need for an evidence-based framework with guidelines and design considerations to help developers and educators tailor SVVR to the diverse needs of autistic…

Tennis elbow, known as lateral epicondylitis in medical terms, which affects the daily life function of most patients. Many patients are becoming less willing to practice traditional rehabilitation due to time and space constraints and the need to go to the hospital for rehabilitation. In this study, the concept of user experience, and the remote…

The multimedia simulation teaching mode introduces students into virtual scenes for learning. Whether it is enhancing students' interest in learning or enhancing their physical fitness, it is a new teaching mode. This article discusses the establishment of a BP neural network model to study the prediction of students' physical fitness and conducts…

Context: This study is about the teaching method of simulation exercises and is set in a police education context. Simulation exercises are a central part of Swedish police education, and therefore it is of interest to explore how they are used, and for what purpose, by investigating police teachers' perceptions of this teaching and learning…

Data are an essential factor in the fourth industrial revolution, demanding engineers and scientists to leverage and analyze their potential for significantly improving the efficiency of industrial processes and their control systems. In classical industrial process control systems, the models are constructed using linear data-driven approaches,…

Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…

Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…

The primary aim of the study is to develop an augmented reality (AR) acceptance scale within the framework of the unified theory of acceptance and use of technology (UTAUT) model to measure individuals' acceptance and use of AR technology. The study was performed with a total of 546 university students with three participant groups in the…

The forced-choice response format is often considered superior to the standard Likert-type format for controlling social desirability in personality inventories. We performed simulations and found that the trait information based on the two formats converges when the number of items is high and forced-choice items are mixed with regard to…

Background: Undertaking voice and communication training is an important part of the gender-affirming journey for many trans, gender-diverse and non-binary individuals. Training supports the alignment of voice with gender identity helping to reduce gender dysphoria as individuals are better able to connect with their voices. However, for training…

Virtual reality (VR) is an increasingly popular artificially mediated, immersive experience that is accessed through a headset. Recent research is starting to provide evidence about the positive impact that virtual reality technology can have on teaching and learning. This research, to date, has been primarily undertaken in higher education and in…

This paper presents the results of a multi-year effort to redesign the introduction to business course at Western Michigan University. ScrimmageSIM, a business simulation that emulates commercial ERP systems, provides the core experience in the course and is a mechanism for students to develop their understanding of business with a focus on…

Interactive computer simulations are commonly used as pedagogical tools to support students' statistical reasoning. This paper examines whether and how these simulations enable their intended effects. We begin by contrasting two theoretical frameworks--"dual processes" and "grounded cognition"--in the context of people's…

Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be used for teacher training, for generating and evaluating hypotheses on human learning, for…

In this study, the accuracy of the artificial neural network (ANN) was assessed considering the uncertainties associated with the randomness of the data and the lack of learning. The Monte-Carlo algorithm was applied to simulate the randomness of the input variables and evaluate the output distribution. It has been shown that under certain…