This paper explores the transformative role of artificial intelligence (AI) in university academic management, examining the technological, ethical, and operational shifts reshaping higher education administration. AI applications in student data analysis, personalized learning, curriculum optimization, predictive analytics for student success, and administrative efficiency are highlighted. Challenges related to data privacy, biases in AI models, ethical standards, and the need for interdisciplinary collaboration are also discussed. This study proposes a framework for leveraging AI to enhance decision-making, inclusivity, and student outcomes in higher education.
No takes yet. Share an insight, caveat, or question.
Rurui Zhou (2025) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: