Innovating Sustainable Climate Change Education in STEM With Generative Artificial Intelligence

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Authors: Sachin Sharma
Cited by: 0
References: 21

Abstract

The developing criticalness of tending to climate alter requires inventive approaches to instruction, especially within the areas of Science, Technology, Engineering, and Mathematics (STEM). Generative Artificial Intelligence (GenAI) offers interesting openings to upgrade educating and learning in these spaces, advertising energetic, personalized, and adaptable arrangements for climate alter instruction. This chapter investigates the potential of GenAI to revolutionize STEM instruction by giving versatile learning situations, real-time information investigation, and inventive arrangements for climate-related challenges. By joining GenAI into climate alter instruction, we will engage the another era of researchers, engineers, and pioneers to contribute seriously to climate activity and supportability. This chapter talks about the integration of GenAI tools in educational module, their potential benefits, and challenges, and offers a vision for the future of climate alter instruction inside STEM disciplines

Fields of Study & Subjects

Artificial Intelligence in Education Environmental and sustainability education Sustainability in Higher Education

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
307–344
Publication date
13 January 2026
Document type
Book chapter