Education Management System in the Era of Artificial Intelligence

Education, technology, and talent are essential and strategic foundations for the full growth of a socialist modernized nation, and gaining technological empowerment in education is a crucial method to advance equitable education. Recent advancements in information technology have facilitated the accumulation of pertinent data and resources in science and education. In this paper, we examine critical issues in the systematic management of these resources and explores their developmental trends, offering both theoretical insights and practical applications. This research examines the present state and challenges of managing research and education resources for the future generation of artificial intelligence (AI). This study systematically elaborates on a multi-dimensional and multi-level integrated “human machine interaction (HMI)” science and education resource management system from the perspectives of software definition paradigms and collaborative construction mechanisms, which incorporates “software-defined resource allocation knowledge system circulation evaluation”. The paper ultimately examines the developmental trajectory of science and education resource management to offer guidance and insight for the methodical establishment of such management at national or regional levels.