The Instrumental Analytical Chemistry course, taught in the fifth semester across several programs at the Faculty of Exact Sciences of the National University of La Plata, places a significant emphasis on high-performance liquid chromatography (HPLC). This versatile analytical technique is essential for the separation, identification, and…

Collaborative learning in high-fidelity simulators is an important part of how master mariner students are preparing for their future career at sea by becoming part of a ship's bridge team. This study aims to inform the design of multimodal learning analytics to be used for providing automated feedback to master mariner students engaged in…

Many universities sponsor student-oriented transit services that could reduce alcohol-induced risks but only if services adequately anticipate and adapt to student needs. Human choice data offer an optimal foundation for planning and executing late-night transit services. In this simulated choice experiment, respondents opted to either (a) wait an…

Background: People with autism spectrum disorder (ASD) have difficulties recognizing emotions. Studies showed that virtual reality (VR) and computerized training programs might be used as potential tools for enhancing emotion recognition in such people. However, some inconsistencies were observed between the studies. Objective: In the current…

The implementation of virtual reality (VR) has gained popularity in the organizational settings in responding to the digital transformation in the era of Industry 4.0. VR offers immersive and authentic experiences for learners through simulated real-life scenarios during training. While the affordances have been widely discussed, there is a need…

Design thinking and virtual reality continue to infiltrate the K-12 landscape, with incredible promise for fostering deeper engagement with content. Design thinking in particular embodies maker education's beliefs in learning through building, but with the added caveat of solving real-world problems with the consideration of others' perspectives.…

This paper examines how Extending Reality (XR) technologies, such as Virtual and Augmented Reality, can provide innovative solutions for preventing and addressing bullying. A search for relevant articles was conducted in five electronic databases (ACM, Emerald, Science Direct, Scopus, and Web of Science), resulting in the identification of 867…

Given much-discussed innovations in Virtual Reality as the 'ultimate empathy machine', we offer three provocations regarding the use of Virtual Reality to cultivate empathy: is empathy possible? Is empathy enough? Who controls how empathy is produced, and who is left out? As a case study, we examine the VR films that the United Nations High…

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…