Article Gold Open Access 2023

Non-fungible tokens, decentralized autonomous organizations, Web 3.0, and the metaverse in education: From university to metaversity

Journal of Education and Learning
Journal · Vol. 17 · Issue 1 · pp. 1-15
Abstract

The pandemic has accelerated technological advances in higher education. Learning management systems that make use of the persistent platform, a wide range of communication options, and profoundly immersive qualities quickly become the platform of choice for learning management systems. The blockchain enables non-fungible tokens (NFTs) and uses the blockchain architecture to validate college diplomas and transcripts, opening the way for a diverse variety of e-portfolios owned and shared by students and teachers. Another type of blockchain that is relatively new to the education scene is decentralized autonomous organizations (DAOs). Through this, technology courses, certificates, and more can become automated and authenticated on the blockchain. The current state of the web is rapidly evolving into what is known as Web 3.0. It is the emerging evolution of the internet to make it machine-readable, which includes leveraging technologies such as artificial intelligence (AI), the cloud, and distributed ledger technologies such as blockchain. From the perspectives of the university and the metaverse, this paper discusses the shift in education brought about by NFTs, DAOs, Web 3.0, and the metaverse. The powerful mix of Web 3.0 and the metaverse is about to revolutionize the way people learn and teach in the modern world. © 2023, Intelektual Pustaka Media Utama. All rights reserved.

Keywords

Author Keywords

Artificial intelligence Metaverse Blockchain DAO Metaversity NFT Web 3.0

Index Keywords

Author Affiliations
Department of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, Indonesia
Psychology with HRD Programme, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
Funding & Acknowledgements
Grant: 01/ERG/IPMU/01/22
PT Intelektual Pustaka Media Utama funded this paper under contract No. 01/ERG/IPMU/01/22. The authors would also like to thank Universitas Ahmad Dahlan (UAD) and Universiti Teknologi Malaysia (UTM) for their contributions to this collaborative study, as well as the Embedded Systems and Power Electronics Research Group (ESPERG) for publication assistance.
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