Exploration and Reflection on the Reform of Teaching Administration Mode in Colleges for Talent Cultivation Empowered by AI

Zhongyan Huo; Cong Liu; Liang Yang

doi:10.26689/jcer.v9i11.12884

Zhongyan Huo University of Shanghai for Science and Technology, Shanghai 200093, China
Cong Liu University of Shanghai for Science and Technology, Shanghai 200093, China
Liang Yang University of Shanghai for Science and Technology, Shanghai 200093, China

DOI: https://doi.org/10.26689/jcer.v9i11.12884

Keywords: Artificial intelligence, Teaching reform, Talent cultivation, Higher education, Personalized learning

Abstract

This study explores artificial intelligence (AI)-driven reform in teaching administration and talent cultivation at the University of Shanghai for Science and Technology. AI enhances management efficiency through automated workflows, supports personalized learning via adaptive systems, and enriches teaching with virtual simulation and interdisciplinary training. While AI addresses scalability and innovation challenges, issues like data privacy and teacher training require further attention. Collaborative efforts are essential to achieve sustainable, high-quality educational development.

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