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This study explores the role of environmental education in addressing pollution in Libya, utilizing an optimized explainable artificial intelligence (XAI) approach. It analyzes data from 402 students at two universities, revealing significant awareness of pollution issues and potential solutions among participants. The research aims to develop a metaheuristic-based AI framework to enhance educational interventions, fostering proactive environmental stewardship and reducing pollution in the region.

Author

dridi

Language

EN