Artificial Intelligence-Powered Technology Enhanced Learning (AIPTEL) as a Climate Change Mitigation Strategy

Mittal, Niti and Batra, Geetanjali and Sijariya, Rajeev (2025) Artificial Intelligence-Powered Technology Enhanced Learning (AIPTEL) as a Climate Change Mitigation Strategy. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 627-633. ISSN 2582-8266

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Abstract

Climate crisis is an urgent transnational issue that demands global efforts from various stakeholders. The United Nations and its allied agencies, together with non-governmental organisations, are actively involved in fighting the climate crisis. Technology, particularly artificial intelligence, has long been sought as a solution to mitigate the climate crisis. This paper explores the role of Artificial Intelligence-Powered Technology-Enhanced Learning (AIPTEL) in addressing this global climate crisis. We have proposed the AIPTEL framework that serves as a mechanism to raise environmental awareness and bring about systemic changes in educational infrastructure to reduce its carbon footprint. This dual-role framework aligns with Sustainable Development Goals 4 (Quality Education) and 13 (Climate Action).

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.3.0878
Uncontrolled Keywords: Artificial Intelligence; Artificial Intelligence-Powered Technology-Enhanced Learning (AIPTEL); Climate Change and Education; Sustainable Development
Depositing User: Editor Engineering Section
Date Deposited: 16 Aug 2025 12:59
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/4520