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Immersive virtual reality (IVR) technology provides several educational affordances that make it a valuable tool for learning, especially from a constructivist learning perspective. Combined with the increasing availability of Metaverse social platforms, such as ENGAGE and AltSpace VR, where students and teachers can meet and work together, IVR may transform how students learn and interact with educational content. However, little is known about students' attitudes toward IVR in education. To address this gap, we surveyed 329 undergraduate students from different universities in Italy. We used the Unified Theory of Acceptance and Use of Technology (UTAUT) to predict students' intention to adopt IVR for learning. We further explored the role that different individual factors, including students' learning styles, affordances perceptions, and personal innovativeness, have on their attitudes toward IVR. A hierarchical multiple regression analysis revealed that the four constructs of the UTAUT, namely performance expectancy, effort expectancy, social influence, and facilitating conditions were the strongest predictors of students' intention to use IVR in education and that individual factors only had little impact on it. Based on these results, this study provides helpful indications for researchers and educators who wish to introduce IVR effectively in educational contexts. Given the new possibilities provided by Metaverse applications based on IVR technology for learning, it is indeed crucial to fully understand the attitudes different stakeholders in education have toward adopting this technology in educational contexts.

Space can be used as a metaphor to describe semantic and perceptual similarity. Research has shown that similarity and spatial information can influence each other. On the one hand, similarity entails spatial closeness; on the other hand, proximity leads to similarity judgment. This spatial information can be stored in declarative memory and measured later on. However, it is unknown if phonological similarity/dissimilarity between words is represented as spatial closeness/distance in declarative memory. In this study, 61 young adults were tested on a remember-know (RK) spatial distance task. Participants learned noun pairs on the PC screen that were manipulated concerning their phonological similarity (similar vs. dissimilar) and reciprocal spatial distance (near vs. far). In the recognition phase, old-new, RK, and spatial distance judgments were asked. We found that for hit responses in both R and K judgments, phonologically similar word pairs were remembered closer compared to phonologically dissimilar pairs. This was also true for false alarms after K judgments. Lastly, the actual spatial distance at encoding was only retained for hit R responses. Results suggest that phonological similarity/dissimilarity is represented respectively with spatial closeness/distance and that this information is stored in the neurocognitive system of declarative memory., (© 2023. The Author(s).)

According to theories of Embodied Cognition, memory for words is related to sensorimotor experiences collected during learning. At a neural level, words encoded with self-performed gestures are represented in distributed sensorimotor networks that resonate during word recognition. Here, we ask whether muscles involved in gesture execution also resonate during word recognition. Native German speakers encoded words by reading them (baseline condition) or by reading them in tandem with picture observation, gesture observation, or gesture observation and execution. Surface electromyogram (EMG) activity from both arms was recorded during the word recognition task and responses were detected using eye-tracking. The recognition of words encoded with self-performed gestures coincided with an increase in arm muscle EMG activity compared to the recognition of words learned under other conditions. This finding suggests that sensorimotor networks resonate into the periphery and provides new evidence for a strongly embodied view of recognition memory., (© 2021. The Author(s).)

Immersive Virtual Reality (IVR) systems offer several learning affordances, that is, characteristics that can elicit learning behaviors promoting learning outcomes in educational contexts. In particular, the immersive and interactive properties of these systems represent a strong opportunity to support the effective learning experiences. The present review aims at mapping IVR systems' use in K‐12 and higher educational contexts and investigating their effectiveness in facilitating learning in terms of knowledge attainment and retention and motivational outcomes. The synthesis of the reviewed studies (n = 18) show that IVR can support a number of activities and experiences that in turn improve learning and motivate students to fulfill educational goals by eliciting their interest and engagement with the learning materials. The main advantage of IVR seems related to the possibility for users to have first‐hand experiences that would not be possible in the real world, simultaneously offering unique opportunities for experiential and situated learning, as well as promoting students' motivation and engagement. Despite the promising findings, the reviewed studies present several methodological flaws: non‐randomized trials, small sample sizes, unbalanced samples and non‐validated measures. This in turn makes it difficult to generalize from these results. Future research is needed to investigate the unique opportunities of IVR in education. [ABSTRACT FROM AUTHOR]

The article discusses the influence of the body or physical movement on better learning. Topics discussed include the dichotomy between the body and mind, the benefits of physical activity on brain functions through stimulation of neurogenesis and brain derived neurotropic factor (BDNF), and brain structure, and the benefits of gestures in moral reasoning, spatial problem solving, and working memory.