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Three Dimensions, Challenges, and Practical Paths of AI in Enabling University Management

Author(s)

Yong Yan1,2, Dongqian Xue1,*, Ni Du1, Yilin Zhang2

Affiliation(s)

1Institute of Teacher Development, Shaanxi Normal University, Xi'an, Shaanxi, China 2College of Health Management, Shangluo University, Shangluo, Shaanxi, China *Corresponding Author.

Abstract

This study elucidates the core mechanisms and challenges of artificial intelligence (AI) in university management and proposes actionable governance strategies. Through a systematic literature review and case analyses, we detail AI applications in teaching, administration, and student services. Technical opacity, ethical risks, and institutional inertia are identified as key obstacles. Key findings reveal that (i) generative AI reshapes instructional design, (ii) smart contracts streamline administrative processes, and (iii) algorithmic engines enhance student support. Concurrent challenges include algorithmic bias endangering equity, data-privacy erosion, and conflicts between curriculum agility and technological adaptability. We propose a three-dimensional framework integrating technological governance, ethical adaptation, and institutional innovation. The findings provide a systematic roadmap for AI-powered university management, with implications for intelligent transformation in higher education.

Keywords

Artificial Intelligence; University Management; Smart Contract; Emotional Support; Algorithmic Ethics; Data Privacy; Agile Governance

References

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