GENERATIVE ARTIFICIAL INTELLIGENCE

This study investigates the adoption, usage, and application of Generative Artificial Intelligence (GAI) in promoting sustainability and achieving the Sustainable Development Goal 4 (Quality Education) in Nigerian universities. A descriptive survey research design was employed, targeting 222 professionals, policymakers, academic staff, development officers, environmental experts, and IT personnel involved in sustainability initiatives. Data were collected through googled constructed online questionnaires, with 200 valid responses received, representing a 90% response rate. Descriptive and inferential statistical techniques, including frequency distributions, percentages, mean, standard deviation, and multiple regression analysis, were used to analyze the data. The findings revealed that GAI adoption, usage, and application have a significant positive impact on sustainability and the promotion of quality education, enhancing access to learning resources, personalizing learning experiences, improving academic performance, and reducing educational inequalities. The study also identified challenges, including limited infrastructure, high costs, lack of technical expertise, and resistance to change, which may hinder effective GAI implementation. The research concludes that strategic policy development, adequate resourcing, continuous capacity building, and ethical AI practices are critical for maximizing the benefits of GAI in Nigerian universities. The study contributes to the growing body of knowledge on AI-driven sustainability and education and provides practical recommendations for policymakers, educators, and institutional administrators.