Опубликована: Янв. 1, 2024
Язык: Английский
Future Internet, Год журнала: 2025, Номер 17(2), С. 63 - 63
Опубликована: Фев. 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.
Язык: Английский
Процитировано
3
Future Internet, Год журнала: 2024, Номер 16(10), С. 379 - 379
Опубликована: Окт. 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.
Язык: Английский
Процитировано
6
Education and Information Technologies, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 8, 2024
Язык: Английский
Процитировано
5
Опубликована: Фев. 16, 2025
Язык: Английский
Процитировано
0
IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 1 - 26
Опубликована: Фев. 28, 2025
The Metaverse represents a transformative digital ecosystem integrating augmented reality (AR), virtual (VR), and blockchain to create immersive, interactive environments where users engage in social, educational, economic activities. This study examines its evolution, emphasizing potential fostering inclusivity, creativity, collaborative learning while addressing challenges like privacy, accessibility, ethical concerns. By leveraging decentralized technologies user-generated content, the encourages active participation social cohesion. However, issues such as data protection, equitable access, psychological impacts necessitate robust governance frameworks. implications of extend across sectors, including education, urban planning, commerce, highlighting role reshaping interaction, community building, professional collaboration. Future research should address technological sociocultural dynamics ensure sustainable growth Metaverse.
Язык: Английский
Процитировано
0
Electronics, Год журнала: 2024, Номер 13(20), С. 4095 - 4095
Опубликована: Окт. 17, 2024
Rice is the primary staple food in many Asian countries, and ensuring quality of rice crops vital for security. Effective crop management depends on early precise detection common diseases such as bacterial blight, blast, brown spot, tungro. This work presents a convolutional neural network model classifying leaf disease. Four distinct diseases, tungro, are main targets model. Previously, pathologies were mostly identified manually using specialized equipment, which was time-consuming inefficient. study offers remedy accurately diagnosing through deep learning techniques. Using this dataset, proposed CNN trained to identify complex patterns attributes linked each disease its capabilities. achieved an exceptional accuracy 99.99%, surpassing benchmarks set by existing state-of-the-art models. The can be useful diagnostic warning system diseases. It could help farmers other agricultural professionals reduce losses enhance their yields.
Язык: Английский
Процитировано
3
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0