The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning

Future Internet, Journal Year: 2025, Volume and Issue: 17(2), P. 63 - 63

Published: Feb. 4, 2025

Modern education faces persistent challenges, including disengagement, inequitable access to learning resources, and the lack of personalized instruction, particularly in virtual environments. In this perspective, we envision a transformative Metaverse classroom model, Multi-layered Immersive Learning Environment (Meta-MILE) address these critical issues. The Meta-MILE framework integrates essential components such as immersive infrastructure, interactions, social collaboration, advanced assessment techniques enhance student engagement inclusivity. By leveraging three-dimensional (3D) environments, artificial intelligence (AI)-driven personalization, gamified pathways, scenario-based evaluations, model offers tailored experiences that traditional classrooms often struggle achieve. Acknowledging potential challenges accessibility, infrastructure demands, data security, study proposed practical strategies ensure equitable safe interactions within Metaverse. Empirical findings from our pilot experiment demonstrated framework’s effectiveness improving skill acquisition, with broader implications for educational policy competency-based, experiential approaches. Looking ahead, advocate ongoing research validate long-term outcomes technological advancements make more accessible secure. Our perspective underscores shaping inclusive, future-ready environments capable meeting diverse needs learners worldwide.

Language: Английский

---

A Survey of the Real-Time Metaverse: Challenges and Opportunities

Future Internet, Journal Year: 2024, Volume and Issue: 16(10), P. 379 - 379

Published: Oct. 18, 2024

The metaverse concept has been evolving from static, pre-rendered virtual environments to a new frontier: the real-time metaverse. This survey paper explores emerging field of technologies, which enable continuous integration dynamic, real-world data into immersive environments. We examine key technologies driving this evolution, including advanced sensor systems (LiDAR, radar, cameras), artificial intelligence (AI) models for interpretation, fast fusion algorithms, and edge computing with 5G networks low-latency transmission. reveals how these are orchestrated achieve near-instantaneous synchronization between physical worlds, defining characteristic that distinguishes its traditional counterparts. provides comprehensive insight technical challenges discusses solutions realize responsive dynamic potential applications impact across various fields considered, live entertainment, remote collaboration, simulations, urban planning digital twins. By synthesizing current research identifying future directions, foundation understanding advancing rapidly landscape contributing growing body knowledge on experiences setting stage further innovations in Metaverse transformative field.

Language: Английский

---

Reviewing the Horizon: The Future of Extended Reality and Artificial Intelligence in Neurorehabilitation for Brain Injury Recovery

Information, Journal Year: 2024, Volume and Issue: 15(8), P. 501 - 501

Published: Aug. 21, 2024

People with disorders of consciousness, either as a consequence an acquired brain injury or traumatic injury, may pose serious challenges to medical and/or rehabilitative centers increased burden on caregivers and families. The objectives this study were follows: explore the use extended reality critical means support in people consciousness injuries; evaluate its impact recovery processes; assess improvements participants’ quality life, reduce families by using artificial-intelligence-based programs. A selective review newest empirical studies interventions patients injuries was conducted over last decade. potential for bias is acknowledged. conceptual framework detailed. data showed that programs successfully enhanced adaptive responding participants involved, improved their life. reduced accordingly. Extended artificial intelligence be viewed crucial injuries.

Language: Английский

---

Aging in the Digital Age: Public Beliefs About the Potential of Virtual Reality (VR) for the Aging Population

Journal of Macromarketing, Journal Year: 2024, Volume and Issue: unknown

Published: May 15, 2024

This paper responds to the scholarly call for investigating role of technology consumption in promoting healthy aging—it aims identify public's beliefs about potential virtual reality (VR) well-being older adults. The study utilized a big-data methodology and employed machine learning scrape comments made by social media users on most popular YouTube videos that discuss people's use VR technology. After data cleaning process, was left with 1,917 out 3,952 were then subject analysis through thematic, emotion, sentiment analyses. findings revealed three themes public beliefs: 1) empowerment technology, generational adaptability, learning; 2) ethical implications aging; 3) cognitive physical engagement. emotion analyses indicated general has predominantly positive perception application people. In summary, synthesis results from suggested empower seniors promote mental activity while also highlighting importance maintaining genuine connections standards.

Language: Английский

---

Analysing the public's beliefs, emotions and sentiments towards Metaverse workplace: A big-data qualitative inquiry

Acta Psychologica, Journal Year: 2024, Volume and Issue: 250, P. 104498 - 104498

Published: Sept. 19, 2024

Language: Английский

---

Developments, Hardships, and Prospective Directions in the Field of Neuroscience and Neurological Machine Learning for Behavioral Evaluation

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 459 - 474

Published: Jan. 3, 2025

This study examines the current state of neuroscience, emphasizing use machine learning to improve behavioral assessment and its therapeutic applications. Progress in neuroscience has facilitated comprehension cognitive aging, neurological illnesses, essential function cognition detecting decline. The increasing potential likely overcomes aforementioned deficiencies—consistent monitoring early identification mental health—through automation. research will ultimately address AI-related concerns regarding longitudinal individuals with illnesses. Neurocognitive testing may leverage significantly advance evaluation management health, hence facilitating future enhance broaden capabilities neurolearning neuropsychology.

Language: Английский

---

Virtual environments as a novel and promising approach in (neuro)diagnosis and (neuro)therapy: a perspective on the example of autism spectrum disorder

Frontiers in Neuroscience, Journal Year: 2025, Volume and Issue: 18

Published: Jan. 15, 2025

Over the last three decades, dynamically evolving research using novel technologies, including virtual environments (VEs), has presented promising solutions for neuroscience and neuropsychology. This article explores known potential benefits drawbacks of employing modern technologies diagnosing treating developmental disorders, exemplified by autism spectrum disorder (ASD). ASD's complex nature is ideal illustrating advantages disadvantages digital world. While VEs' possibilities remain under-explored, they offer enhanced diagnostics treatment options ASD, augmenting traditional approaches. Unlike real-world obstacles primarily rooted in social challenges overwhelming environments, these provide unique compensatory opportunities ASD-related deficits. From our perspective addition to other recent work, should be adapted suit specific needs individuals with ASD.

Language: Английский

---

Immersive Virtual Reality in Stroke Rehabilitation: A Systematic Review and Meta-Analysis of Its Efficacy in Upper Limb Recovery

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(6), P. 1783 - 1783

Published: March 7, 2025

Background: Immersive virtual reality (imVR) has shown promise for upper limb stroke rehabilitation (ULSR). However, optimal implementation and treatment modalities remain unclear. This systematic review meta-analysis aimed to evaluate imVR’s efficacy in ULSR determine parameters. Methods: A of randomized controlled trials (RCTs), comparing imVR conventional (CR) adult patients, was conducted. Databases including, the Web Science, Scopus, PubMed, were searched. Meta-regression further explored relationship between intervention duration, frequency, outcomes. Results: Twenty-three studies included review, representing 395 with thirteen incorporated into meta-analysis. showed statistically significant improvements Fugl–Meyer Assessment Upper Extremity (FMA-UE) Scale (mean difference (MD) = 3.04, 95% CI [1.46; 4.62], p < 0.001) Box Block Test (BBT) (MD 2.85, [0.70; 4.99], 0.009) compared CR, but not Action Research Arm (ARAT) 3.47, [−0.22; 7.15], 0.06). these did reach clinically thresholds (7 points FMA-UE 6 BBT). Clinical subgroup analysis both subacute (standardized mean (SMD) 0.92, [0.48; 1.36], 0.002) chronic (SMD 0.69, [0.03; 1.35], 0.03) stages. indicated that there a positive duration improvement. Conclusions: demonstrates potential improving motor function following stroke, particularly longer durations individual session lengths stroke. observed significant, highlighting need research larger sample sizes standardized outcome measures protocols.

Language: Английский

---

Effectiveness of XR‐Based Exposure Therapy for Phobic Disorders

Journal of Counseling & Development, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

ABSTRACT Research on anxiety and posttraumatic stress disorder (PTSD) indicates that virtual reality related technologies are effective tools for therapy. Given the similar underlying mechanism of these disorders to phobias, it is thought by researchers in mental health care VR‐based exposure therapies would have treatment outcomes. The purpose this research examine effectiveness XR‐based therapy using physiological markers combination with patient perceptions phobic response. primary question study as follows: what an disorder? Forty‐five participants (22 males 23 females) took part study. Results from repeated measures analysis variance illustrate statistically significant differences over time main effect group. three groups (1) XR exposure, (2) traditional (3) time‐delay comparison. offers multiple advantages vivo imaginative exposure.

Language: Английский

---

Effects and mechanisms of synchronous virtual reality action observation and electrical stimulation on upper extremity motor function and activities of daily living in patients with stroke: a protocol for a randomized controlled trial

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: April 4, 2025

Background Existing rehabilitation techniques are not satisfactory in improving motor function after stroke, resulting heavy social burdens. With discovery of mirror neuron system (MNS), action observation (AO) has become a promising strategy to promote learning rehabilitation. Based on MNS theory and virtual reality (VR) technology, we designed an innovative rehabilitative approach: synchronous 360° VR video AO (VRAO) neuromuscular electrical stimulation (NMES). We hypothesized that VRAO+NMES could enhance activation, thus improve upper limb activities daily living stroke survivors. Methods To explore the efficacy mechanism VRAO+NMES, this single center, evaluator blinded, prospective, two arm parallel group randomized controlled trial with 1:1 allocation ratio. The experiment will receive while control landscape combined NMES. Fugl-Meyer Assessment for Upper Extremity is primary outcome study, Brunstrom Recovery Stages Extremity, Manual Muscle Test, Range Motion, Modified Barthel Index, Functional Independence Measure secondary outcomes. In addition, functional near-infrared spectroscopy (fNIRS) surface electromyography (sEMG) be used evaluate activation brain regions related muscles, respectively. Discussion Applying therapy (AOT) popular, another study direction AOT combine it peripheral stimulations simultaneously. Due its full immersive characteristic multi-sensory input, videos based motivation engagement level participants. fNIRS sEMG test results may act as good biomarkers predict outcomes, helping select suitable candidates new intervention. Conclusion provide evidence feasibility potential clinical rehabilitation, applicability generalize use hospital, community, home settings. Clinical registration https://www.chictr.org.cn/showproj.html?proj=178276 , Identifier [ChiCTR2200063552].

Language: Английский

---