Development of an Adaptive Higher Education Management Model with Artificial Intelligence

Abstract

Higher education is the main pillar in building superior human resources in the era of globalization. The development of an adaptive higher education management model has become essential and global in the current era. However, the complexity of the challenges faced by higher education institutions in managing internal and external dynamics in their development. For this reason, an adaptive higher education management model has been developed using artificial intelligence. The aim of this research is to design and implement a responsive management model, utilizing artificial intelligence to increase operational efficiency and effectiveness. The research method was carried out through literature analysis, case studies, and system prototype development. By integrating artificial intelligence technology, this model is able to identify behavioral patterns, forecast trends, and provide real-time information to support managerial decision making. The research results show improvements in resource management, scheduling, and adaptation to changing dynamics of higher education. The integration of artificial intelligence accelerates the decision-making process, increases the efficiency of resource management, and overall, provides a strong foundation to address the complex dynamics of the world of higher education. The conclusion of this research states that there is great potential for artificial intelligence in the higher education management process. The resulting adaptive model is able to bring operational efficiency, enabling educational institutions to be more responsive to student needs and environmental dynamics. Thus, developing this model can be a strategic step to increase the competitiveness and relevance of higher education institutions in this modern era. Hopefully this research can be a benchmark for other research in conducting research.