Design of the Architecture of the Virtual Learning Community: VLC via Metaverse to Promote Digital Teacher’s Competency
- Sriwichai Netniyom
- Pinanta Chatwattana
Abstract
The architecture of the virtual learning community via metaverse, or VLC via metaverse, to promote digital teacher’s competency is related to the application of the concepts of virtual learning community integrated with virtual reality technology to promote the competency of teachers in the digital age. This is also to equip these teachers with comprehensive digital competency in order that they can apply it in the instruction management in a more efficient manner. In addition, this competency is believed to encourage teachers to have a step-by-step thinking process and enable them to use information technology media more practically with more understanding and creativity. The objectives of this study are (1) to synthesize the conceptual framework of the VLC via metaverse to promote digital teacher’s competency, (2) to design the architecture of the VLC via metaverse to promote digital teacher’s competency, and (3) to study the results of the design of the architecture of the VLC via metaverse to promote digital teacher’s competency. The participants in this research are 7 experts from different institutions, all of whom are specialized in the design and development of instruction systems. The research tools include (1) the architecture of the VLC via metaverse, and (2) the assessment form on the suitability of the architecture of the VLC via metaverse. The results of this research show that (1) the overall suitability of the design of the architecture of the VLC via metaverse (overall elements) is at the highest level (Mean = 4.71, SD. = 0.57), and (2) the overall suitability of the design of the architecture of the VLC via metaverse is at the highest level (Mean = 4.70, SD. = 0.52).
- Full Text: PDF
- DOI:10.5539/jel.v13n2p46
Journal Metrics
Google-based Impact Factor (2021): 1.93
h-index (July 2022): 48
i10-index (July 2022): 317
h5-index (2017-2021): 31
h5-median (2017-2021): 38
Index
Contact
- Grace LinEditorial Assistant
- jel@ccsenet.org