AI-Driven Approaches for Building Sustainable and Green Education Systems

Sustainability has become a mandatory task for educational systems at the 21st century, pushed by its inherent responsibility in mitigate environmental damage without renounce quality and accessibility. Artificial Intelligence (AI) has become an enabler and a game-changer in this space with solutions that reduce the use of resources, increase operational efficiencies and promote environmentally-friendly learning. The purpose of this work is to explore the role of AI based technologies in the development of sustainable and green educational systems, with students, teachers and administrators of HEIs as the main focus of study. The research is a quantitative study and the sample was determined by using a stratified random sample of 200 students, 150 teachers and 50 principals. Responses to the research instrument answered via a Likert 5-point scale batching to measure perceptions on AI in environmental sustainability, resource efficiency and eco-learning’s. The data was crunched through SPSS, descriptive analysis, T test, ANOVA and Regression analysis was used. The results of this factor demonstrate that stakeholders have an overall positive view toward AI on sustainability; administrators provided the highest mean score (M = 4.25) followed by educators (M = 4.10) and students (M = 3.95). Multivariate analysis showed that, between groups, there were differences on the resulting dimensions, with educators and administrators reporting greater impact of AI than students. Regression analysis showed that AI utilization was a strong positive predictor of sustainable action (β = 0.42, p < 0.001), accounting for 32% of the total variance in sustainable efforts. These results indicate that AI adoption does not only enhance teaching and learning processes, rather promotes ecological mindful educational practices. AI has tremendous potential for catalyzing sustainable education systems via digital learning platforms, intelligent energy management and adaptive teaching aids, says the study. The report recommends policy alignment, skills development, infrastructure investment, and awareness campaigns to optimize impact of AI and ensure inclusivity and equity. This work adds to the emerging body of work on AI for educational sustainability and offers a model toward using AI to support global climate and development targets.