Challenges to Indian knowledge system during curriculum framework for blockchain and the Metaverse
DOI:
https://doi.org/10.36676/sjmbt.v2.i1.05Keywords:
Indian knowledge system, curriculum framework, Blockchain, MetaverseAbstract
The integration of the Indian knowledge system into the curriculum framework for emerging technologies like blockchain and the Metaverse presents both opportunities and challenges. This paper explores the challenges encountered in incorporating traditional Indian knowledge into educational programs focused on cutting-edge digital innovations. Drawing from a review of literature and discussions with experts, the paper identifies key obstacles such as the technical complexity of modern technologies, the need for cultural sensitivity and authenticity, resistance to change within traditional educational systems, and disparities in access to resources and technology. Additionally, it examines the interdisciplinary nature of integrating Indian knowledge systems with technical subjects and the implications for curriculum design, assessment methods, and teacher training. By addressing these challenges, educators and policymakers can create a curriculum framework that effectively integrates Indian knowledge systems with education on blockchain and the Metaverse, preparing students for the future while preserving and celebrating India's rich cultural heritage.
References
Singla, A., & Gupta, M. (2023). Investigating Deep learning models for NFT classification: A Review. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 91-98. DOI: https://doi.org/10.36676/sjmbt.v1i1.12
Gupta, R., Gupta, M., & Gupta, D. (2023). Role of Liquidity Pool in Stabilizing Value of Token. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 9-17. DOI: https://doi.org/10.36676/sjmbt.v1i1.02
Duggal, A., Gupta, M., & Gupta, D. (2023). Significance of NFT Avtaars in Metaverse and their Promotion: Case Study. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 28-36. DOI: https://doi.org/10.36676/sjmbt.v1i1.04
Issalh, R., Gupta, A., & Gupta, M. (2023). PI NETWORK: A REVOLUTION. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 18-27. DOI: https://doi.org/10.36676/sjmbt.v1i1.03
Gupta, M. (2023). Say No to Speculation in Crypto market during NFT trades: Technical and Financial Guidelines. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 37-42. DOI: https://doi.org/10.36676/sjmbt.v1i1.05
Singla, A., Singla, M., & Gupta, M. (2023). Unpacking the Impact of Bitcoin Halving on the Crypto Market: Benefits and Limitations. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 43-50. DOI: https://doi.org/10.36676/sjmbt.v1i1.06
Gupta, M., Gupta, D., & Duggal, A. (2023). NFT Culture: A New Era. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 57-62. DOI: https://doi.org/10.36676/sjmbt.v1i1.08
Gupta, M. (2023). Integration of IoT and Blockchain for user Authentication. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 72-84. DOI: https://doi.org/10.36676/sjmbt.v1i1.10
Gupta, Deepanshu, and Surbhi Gupta. "Exploring world famous NFT Scripts: A Global Discovery." Scientific Journal of Metaverse and Blockchain Technologies 1, no. 1 (2023): 63-71. DOI: https://doi.org/10.36676/sjmbt.v1i1.09
Gupta, I., & Jain, P. (2023). EXPECTED IMPACT OF DECENTRALIZATION USING BLOCKCHAIN BASED TECHNOLOGIES. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 51-56. DOI: https://doi.org/10.36676/sjmbt.v1i1.07
Issalh, R., Gupta, D., & Gupta, M. (2023). RESEARCHER ECONOMY: A REVOLUTION BY 9NFTMANIA FOR PRESENT ALPHA MALE. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 99-104. DOI: https://doi.org/10.36676/sjmbt.v1i1.13
Kumar, S., Haque, M. E., Kumar, R., Gupta, N., Reddy, V. L., Syamsundararao, T., & Dhabliya, D. (2024). Securing Digital Records: A Synergistic Approach with IoT and Blockchain for Enhanced Trust and Transparency. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 423-432.
Reddy, K. R., Farhad, S., Kotti, J., Sonule, V., Muniyandy, E., & Verma, A. (2024). IoT-Driven Big Data Analytic to Automate Blockchain Adaptation. International Journal of Intelligent Systems and Applications in Engineering, 12(14s), 600-608.
Jangra, R. (2023). Reviewing the Optimized Mechanism for Deep Learning Based Bot Detection to Evaluate Genuine Crypto Assets. Scientific Journal of Metaverse and Blockchain Technologies, 1(1), 105-113. DOI: https://doi.org/10.36676/sjmbt.v1i1.14
Zhang, Y., Chen, Z., Zhang, L., & Tong, X. (2022). Visualizing Non-Fungible Token Ethics: A Case Study On CryptoPunks (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2206.12922
Reddy, K. R., Farhad, S., Panchbhai, A., Deshpande, A., Muniyandy, E., & Verma, A. (2024). IoT Based System for Rating Smart Contract to Evaluate Accuracy of Blockchain. International Journal of Intelligent Systems and Applications in Engineering, 12(13s), 735-743.
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