Exploring the Pathways of AI-Driven Transformation in University Education Management

Abstract

AI is constantly seeping into every aspect of life, until it is used by higher education to promote an educated transformation of higher education administrative work. This paper looks into exact paths by which AI tech helps run university education, provides real-life ideas on how to use this power, strategic ideas, and reorganized organizations on how to use this power. First, it points out the existing problems of inefficiency, data silos, and lack of personalization in the current traditional way of running education. Then analyze how technologies like machine learning and natural language processing, intelligent decision systems, etc., can be used to solve the above pain points. In terms of big changes in the paper, it is Intelligent scheduling, automated academic evaluation, personalized service for students, and strategic governance through combining cases, institution data set and policy study. There also appear 4 representative trend, effect, and adoption rate data table on AI in different universities’management area. From what I can tell, it looks like if you wanna do an AI change for real, you got to have not just the tech all set to go, but also having a plan that makes sense, somewhere where your info all works together, and ways to keep rules from moving around. And finally, this paper gives out relevant policy suggestions as well as strategic guidelines to assist in the sustainable, equitable, and ethical use of AI to run the uni. It benefits policy makers who want to update education administration in higher education, those who run institutions who seek to upgrade higher education, and developers of technology to create a modern way to lead universities in the digital age.