Establishing an AI-Based Framework for Strategic Decision Support in Higher Education Administration

The research aims to provide an artificial intelligence framework to improve strategic decision-making in higher education administration. Although offering unprecedented potential to tackle complex administrative challenges, the integration of artificial intelligence in managing higher education institutions is still in its early stages. This study aims to fill the existing gap by creating a comprehensive framework utilizing artificial intelligence to improve data-driven decision-making, ultimately enhancing operational efficiency and strategic planning at universities. This study aims to identify the specific areas within higher education administration that are most inclined to utilize artificial intelligence for decision-making. The framework combines artificial intelligence technology with administrative data to optimize resource allocation, forecast trends, and offer actionable insights. A comprehensive literature analysis was conducted as part of the mixed-methods approach to methodology to find possible uses of artificial intelligence in school administration. The next phases involve building an artificial intelligence-based framework in an iterative way and then testing its functionality in a real institution’s setting. The goal of this project is to create a decision support system with artificial intelligence that can adjust to the unique needs of higher education administrators. The operation should be efficient and adaptable. The method claims to enhance the speed and precision of strategic decision-making, resulting in a notable enhancement of institutional performance and governance. This study’s results enhance the theoretical underpinnings of artificial intelligence in school administration and offer practical guidance for its application. This study establishes the foundation for a new era of data-driven management at institutions.