ARTICLE
Volume 10,Issue 8
6 August 2026
Exploring the Optimization of Risk Analysis and Management Teaching in the Context of AI Empowerment
Zhigang Shi
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1
University of Shanghai for Science and Technology, Shanghai 200093, China,
JCER 2026 , 10(7), 191–197;
https://doi.org/10.26689/jcer.v10i7.15738
© 2026 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract
Risk Analysis and Management is a core course for majors in management science, featuring strong theoretical, practical, and comprehensive attributes. The traditional classroom teaching model gradually shows deficiencies in adapting to modern risk governance demands and cultivating interdisciplinary talents. The rapid advancement of artificial intelligence technology provides brand-new approaches and technical support for curriculum teaching reform. On this basis, based on the current teaching status of Risk Analysis and Management in universities, this paper elaborates the core value of AI-enabled curriculum teaching reform and puts forward targeted optimization countermeasures. It aims to promote high-quality development of Risk Analysis and Management classroom teaching and cultivate high-caliber management talents equipped with risk judgment capabilities, AI application skills, and a sense of national mission.
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