arXiv Open Access 2025

Harnessing IoT and Generative AI for Weather-Adaptive Learning in Climate Resilience Education

Imran S. A. Khan Emmanuel G. Blanchard Sébastien George

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Abstrak

This paper introduces the Future Atmospheric Conditions Training System (FACTS), a novel platform that advances climate resilience education through place-based, adaptive learning experiences. FACTS combines real-time atmospheric data collected by IoT sensors with curated resources from a Knowledge Base to dynamically generate localized learning challenges. Learner responses are analyzed by a Generative AI powered server, which delivers personalized feedback and adaptive support. Results from a user evaluation indicate that participants found the system both easy to use and effective for building knowledge related to climate resilience. These findings suggest that integrating IoT and Generative AI into atmospherically adaptive learning technologies holds significant promise for enhancing educational engagement and fostering climate awareness.

Topik & Kata Kunci

cs.HC cs.AI cs.CY cs.LG cs.SE

Penulis (3)

Imran S. A. Khan

Emmanuel G. Blanchard

Sébastien George

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APA MLA BibTeX

Khan, I.S.A., Blanchard, E.G., George, S. (2025). Harnessing IoT and Generative AI for Weather-Adaptive Learning in Climate Resilience Education. https://arxiv.org/abs/2508.21666

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓