Assessing The Role of Artificial Intelligence in ImprovingThe Sustainability of Public Higher AIEducation Administration

This study investigates the multidimensional impact of artificial intelligence (AI) on sustainability ‎practices within public higher education institutions. In this paper, sustainability is conceptualized as a ‎three-dimensional construct：environmental, economic, and social educational and this definition ‎guides the study design and interpretation of outcomes. Using an integrated approach that combines ‎extensive literature reviews, quantitative survey data from over 5,000 respondents, and carefully ‎selected case studies, we examine how AI implementations, including personalized learning systems, ‎automated assessment tools, and intelligent tutoring systems, enhance the sustainability of ‎educational practices. Our methodology incorporates both classical statistical methods and novel ‎computational formulas for data reliability and variance analysis. The results demonstrate that AI ‎promotes efficiency, resource optimization, and innovative teaching paradigms, while also unearthing ‎challenges related to ethical issues, scalability, and infrastructural limitations. A deeper dive into ‎subgroup analyses reveals gender differences and disciplinary disparities in attitudes toward AI usage. ‎Ultimately, the study argues that the responsible integration of AI can substantially advance ‎sustainable practices in public higher education if accompanied by rigorous policy and pedagogical ‎strategies‎.