Integrating Generative AI in Energy-Efficient Smart Homes to Foster STEM and Technology Literacy in Early Childhood
DOI:
https://doi.org/10.21009/ishel.v1i1.57591Abstract
The advancement of generative artificial intelligence (AI) has opened new opportunities to support early childhood learning through smart home environments. This study aims to explore the integration of generative AI in energy-efficient smart homes as a medium for STEM (Science, Technology, Engineering, Mathematics) education and the enhancement of technology literacy in early childhood. Through automation features such as lighting control, room temperature regulation, and electricity consumption monitoring, children are introduced to energy concepts in a contextual manner while interacting directly with virtual assistants that can explain, respond to questions, and provide learning simulations tailored to their developmental level. A qualitative, literature-based approach is used to examine how this interaction can create interactive, adaptive, and enjoyable learning experiences. The findings suggest that AI-powered smart homes can serve as alternative learning environments that practically introduce young children to STEM concepts while also fostering energy awareness and responsible use of technology from an early age. With appropriate parental guidance, this system has the potential to become a humanistic educational tool aligned with the developmental needs of early childhood learners.
References
Badshah, A., Ghani, A., Daud, A., Jalal, A., Bilal, M., & Crowcroft, J. (2023). Towards smart education through the Internet of Things: A review. arXiv. https://doi.org/10.48550/arXiv.2304.12851
Ehteshami, M., Lazanovska, K. I., & Tucker, A. (2024). Child‑friendly smart homes: An outline of possible challenges. Architecture and Science, 35(1), 198–210. Retrieved from https://archscience.org/wp-content/uploads/2024/08/198-210-EHteshami-Lazanovska-Tucker.pdf
Owoc, M. L., Sawicka, A., & Weichbroth, P. (2021). Artificial intelligence technologies in education: Benefits, challenges and strategies of implementation. arXiv. https://doi.org/10.48550/arXiv.2102.09365
Rahman, J., & Khan, O. F. (2024). The impact of smart home technologies on child safety and development. International Conference of Innovation in Science, Technology, Education, Children and Health, 4(1), 174–179. Retrieved from https://www.researchgate.net/publication/390934324_The_Impact_of_Smart_Home_Technologies_on_Child_Safety_and_Development
Sun, Y., Chen, J., Yao, B., Liu, J., Wang, D., Ma, X., … Xu, Y. (2024). Exploring parents’ needs for children‑centered AI to support preschoolers’ interactive storytelling and reading activities. arXiv. https://doi.org/10.48550/arXiv.2401.13804
Yıldırım, E. (2025). A new era in early childhood education (ECE): Preschool teachers’ opinions on the application of artificial intelligence. Education and Information Technologies. https://doi.org/10.1007/s10639-025-13478-9
Yan, L., Sha, L., Zhao, L., Li, Y., Martinez‑Maldonado, R., Chen, G., … Gašević, D. (2023). Practical and ethical challenges of large language models in education: A systematic scoping review. arXiv. https://doi.org/10.48550/arXiv.2303.13379
Neugnot‑Cerioli, M., & Muss Laurenty, O. (2024). The Future of Child Development in the AI Era: Cross‑disciplinary perspectives. arXiv. https://doi.org/10.48550/arXiv.2405.19275
Honghu, Y., Ting, L., & Gongjin, L. (2023). The key artificial intelligence technologies in early childhood education: A review. arXiv. https://doi.org/10.48550/arXiv.2401.05403
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