Augmented reality in intensive care nursing education: A scoping review.

Objectives: This scoping review aimed to identify existing literature on the application of augmented reality (AR) in the intensive care unit (ICU) and analyse its current state of play regarding hands-on skills.

Background: Active learner engagement can greatly enrich educational outcomes. With the rise of immersive and interactive technologies, AR is progressively integrated into nursing education to enhance this aspect.

Personalization of the Learning Path within an Augmented Reality Spatial Ability Training Application Based on Fuzzy Weights.

Adaptive systems and Augmented Reality are among the most promising technologies in teaching and learning processes, as they can be an effective tool for training engineering students' spatial skills. Prior work has investigated the integration of AR technology in engineering education, and more specifically, in spatial ability training. However, the modeling of user knowledge in order to personalize the training has been neither sufficiently explored nor exploited in this task.

Mobile game-based learning as a solution in COVID-19 era: Modeling the pedagogical affordance and student interactions.

The closure of educational institutions due to the COVID-19 pandemic leads imperatively to the utilization of technological advances and the Internet for enabling the continuity of learning. To this direction, Mobile Game-based Learning (MGbL) can be beneficial to teaching and learning; since, from technological perspective, most students prefer to use their mobile devices, such as smartphones or tablets, and from pedagogical perspective, incorporating gaming in educational process can boost students' motivation for learning and improve their learning outcomes. Hence, this study investigates learners' intention to use MGbL as an alternative educational practice during the COVID-19 pandemic, by modeling the pedagogical affordance of this technology and student interactions with it.

Measuring User Experience, Usability and Interactivity of a Personalized Mobile Augmented Reality Training System.

Innovative technology has been an important part of firefighting, as it advances firefighters' safety and effectiveness. Prior research has examined the implementation of training systems using augmented reality (AR) in other domains, such as welding, aviation, army, and mathematics, offering significant pedagogical affordances. Nevertheless, firefighting training systems using AR are still an under-researched area.

Improving Learner-Computer Interaction through Intelligent Learning Material Delivery Using Instructional Design Modeling.

This paper describes an innovative and sophisticated approach for improving learner-computer interaction in the tutoring of Java programming through the delivery of adequate learning material to learners. To achieve this, an instructional theory and intelligent techniques are combined, namely the Component Display Theory along with content-based filtering and multiple-criteria decision analysis, with the intention of providing personalized learning material and thus, improving student interaction. Until now, the majority of the research efforts mainly focus on adapting the presentation of learning material based on students' characteristics.

Ensemble Learning Using Fuzzy Weights to Improve Learning Style Identification for Adapted Instructional Routines.

Mobile personalized learning can be achieved by the identification of students' learning styles; however, this happens with the completion of large questionnaires. This task has been reported as tedious and time-consuming, causing random selection of the questionnaires' choices, and thus, erroneous adaptation to students' needs, endangering knowledge acquisition. Moreover, mobile environments render the selection of questionnaires' choices impractical due to confined mobile user interfaces.