Using artificial intelligence in sustainability teaching and learning

Abstract

Background: The integration of artificial intelligence (AI) in sustainability education (SE) represents a forward-thinking approach to teaching and learning, addressing complex global challenges through innovative technology. The deployment of AI offers promising prospects in SE as a means to enhance learning experiences, foster innovative problem-solving skills, and contribute to the development of sustainable solutions. Despite the potential of AI in sustainability teaching and learning, there is a need for studies that explore several key areas, including how AI may enhance educational outcomes, develop sustainable solutions, and prepare students for future challenges. Results: By means of a set of case studies and a survey from 45 countries, it examines the current use of AI as a tool towards sustainable development identifying some areas where action is needed. The results show that the integration of AI in SE has the potential to significantly enhance the learning experience by providing personalized instruction and facilitating interactive simulations that deepen students' understanding of complex environmental issues. In addition, AI tools can increase student engagement through personalized learning paths and real-time feedback, fostering a more interactive and immersive educational environment that encourages critical thinking and problem-solving. Conclusions: While promising, the use of AI in SE requires ongoing research to explore potential challenges and the ethical implications of AI technologies in educational settings.