Promoting Education for Sustainable Development through AI-Enhanced Library Information Retrieval Systems

Abstract In an era where the international community places significant emphasis on sustainable development goals, the strategic importance of education for sustainable development (ESD) is particularly pronounced. In the Industry 5.0 era, a growing number of university libraries have adopted Large-Scale Artificial Intelligence Models. This study surveyed 315 students and employed a multiple regression model to investigate the mechanisms through which the application of Large-Scale Artificial Intelligence Models to library information retrieval systems impacts ESD. The findings indicate that the integration of Large-Scale Artificial Intelligence Models into library information retrieval systems can enhance ESD while also improving users' information assessment capability, digital literacy, and awareness of privacy and security. Concurrently, the aforementioned skills, literacy, and awareness of uses served as mediating factors. These results remained consistent after undergoing a series of robustness tests. This study provides technical support and practical paradigms for enhancing the inclusiveness, precision, and long-term impact of education for sustainable development, as well as for cultivating interdisciplinary talents with a global perspective and green development concepts.