Artificial intelligence-driven green education for sustainable development goals: A review

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Authors: Ankur Chaudhary
Cited by: 1

Abstract

The intersection of environmental education and artificial intelligence signifies a paradigmatical paradigm shift towards attainment of the United Nations Sustainable Development Goals, and specifically in SDG 4 (Quality Education) and SDG 13 (Climate Action). This is despite the fact that despite considerable growths in technology, the traditional methods used to dispense education are challenged by the need to be able to offer scalable, personalized and beneficial green education that will communicate environmental awareness and sustainability practices. With this overall literature review, the PRISMA methodology will be used to use and analyze emerging trends, applications, and innovations in AI-driven green education systematically. The research considers the innovation of machine learning algorithms, natural language processing, computer vision, and intelligent tutoring systems in the context of environmental literacy, climate change education, and sustainability awareness in the different educational settings. With the thorough study of modern literature, this review provides insight into such key uses as adaptive learning systems, ecological simulations providing virtual reality, AI-based calculators of carbon footprint, and automated environmental monitoring systems. The results indicate that the opportunities exist in the personalized sustainability courses, integration of real-time environmental data, and gamification of learning, whereas such aspects as digital equity, algorithm prejudice, and privacy, as well as technological infrastructure in developing countries, are problematic. The review is a synthesis of the AI methods and teaching and learning processes and application in respect to the sustainability concepts that can be put into practical use by ensuring that teachers, policymakers, technologists, and researchers dedicated to enhancing green education with the use of intelligent systems can use it to embrace a sustainable future.

Fields of Study & Subjects

Sustainability in Higher Education Environmental Education and Sustainability Technology-Enhanced Education Studies

Publication details

Journal / source
International Journal of Applied Resilience and Sustainability
Publisher
Deep Science Publishing
Volume
2
Issue
2
Pages
1–39
Publication date
19 February 2026