A School Digital Twin system powered by AI has been deployed to make educational spaces more responsive and intelligent through real-time monitoring, self-governing decision-making, and decentralized participation. Utilizing cameras, IoT sensors, artificial intelligence, and blockchain-powered smart contracts, the system monitors and interprets real-time data from classrooms to build a dynamic virtual replica of every learning environment. This virtual twin enables timely, data-driven interventions intended to maximize classroom conditions. While AI oversees environmental adaptations, blockchain guarantees transparency and verifiability of decision-making processes. By coupling advanced technological infrastructure with pedagogical goals, the system aims to facilitate more adaptive, resource-effective, and learner-centred education practices. Finally, it aims to enhance learning conditions, promote evidence-informed governance, and increase academic achievement through personalization and intelligent adaptation.
@article{m.2025,
author = {Nalayini C M. and Shailesh Arunkumar and Madesh S.},
title = {{Role of Artificial Intelligence in Enhancing School Digital Twins}},
journal = {Journal of Artificial Intelligence and Capsule Networks},
volume = {7},
number = {2},
pages = {209-231},
year = {2025},
publisher = {Inventive Research Organization},
doi = {10.36548/jaicn.2025.2.008},
url = {https://doi.org/10.36548/jaicn.2025.2.008}
}
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