近年来,人工智能技术迅猛发展,为水利学科提供了新的工具和方法,特别是在水利大数据分析、模型预测和优化决策方面。与此同时,人工智能技术也对水利学科的高等教育提出了新的要求,推动了教学内容和方法革新。本文探讨了人工智能技术在水利学科教学中的应用方式,研究如何通过教育实践培养适应新时期需求的水利专业人才,并展望了人工智能技术在水利学科中的未来发展方向及主要挑战。In recent years, the rapid development of artificial intelligence (AI) technology has provided new tools and methods for hydraulic engineering, particularly in data analysis, model prediction, and decision optimization. Simultaneously, the application of AI has posed new requirements for education in hydraulic engineering, driving innovations in teaching content and methods. This article explores the integration of AI technology in the teaching of hydraulic engineering, examining how educational practices can be adapted to cultivate professionals who meet the modern demands of the field. It also looks ahead to the future development directions and challenges of AI technology in hydraulic engineering.
