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VIRTUAL UNIVERSITY INTELLIGENT PLATFORM WITH BLOCKCHAIN ECONOMICS AND ARTIFICIAL INTELLIGENCE INTEGRATION

Field of Science:Artificial IntelligenceComputational Theory and MathematicsComputer Graphics and Computer-Aided DesignComputer Networks and CommunicationsInformation SystemsSignal ProcessingSoftware
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38._Обухов_В.А.__Гиёсов....pdf

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Scientific electronic journal "Digital Economy"

Scientific electronic journal "Digital Economy"

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ARTICLE ANNOTATION

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This article presents a comprehensive analysis of methods and algorithms for creating three-dimensional objects for a virtual university in a metaverse environment. The study examines modern approaches to the development of educational platforms in virtual reality, including an analysis of existing solutions such as ZEPETO, VRChat, Horizon Workrooms, and Gather Town. An innovative methodology for integrating artificial intelligence and a cryptocurrency credit system to create a sustainable educational ecosystem is proposed. The results show a 73% increase in the accessibility of education in regions with limited infrastructure and a 45% improvement in student engagement.

AUTHORS

В.Обухов

Farg'ona davlat texnika universiteti

U.Giyosov

TOSHKENT DAVLAT IQTISODIYOT UNIVERSITETI

F.Nuraliyev

"MUHAMMAD AL-XORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI" DAVLAT MUASSASASI

Tags

# artificial# intelligence# technologies# virtual# modelling# educational# metaverse# reality# 3d

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Article Identifiers

ROI:

https://eroi.uz/11.142/A026-543131

DOI:

Not Available

References

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6. Nuraliev, F. M., Giyosov, U. E., & Okada, Y. (2021). Enhancing Teaching Approach with 3D Primitives in Virtual and Augmented Reality. Advances in Intelligent Systems and Computing (см. в книгах), 1323, 155-163. 7. Murodillaevich, N. F., Eshpulatovich, G. U., & Kuvondik, K. (2020, November). Improve teaching and learning approach 3D primitives with Virtual and Augmented Reality. In 2020 International Conference on Information Science and Communications Technologies (ICISCT) (pp. 1-7). IEEE. 8. Obukhov, V., Qadamova, Z., Sobirov, M., Ergashev, O., & Nabijonov, R. (2024). Methods for using elliptic curves in cryptography. In E3S Web of Conferences (Vol. 508, p. 05009). EDP Sciences. 9. Obuxov, V. (2023). QUANTUM COMPUTING BREAKTHROUGHS. Universum: технические науки, (11-6 (116)), 55-56. 10. Обухов, В. А. (2023). Криптография на основе эллиптических кривых (ECC). Al-Farg’oniy avlodlari, 1(4), 182-188.