新工科视域下“AI + 水文”智慧教学模式研究

Research on the “AI + Hydrology” Smart Teaching Model from the Perspective of Emerging Engineering Education

摘要: 新工科建设需求与智慧水利行业的深度发展，对水文与水资源工程专业人才的数智素养与工程创新能力提出了全新要求。针对当前水文专业传统教学模式与行业数智化转型需求脱节、标准化教学与学生个性化学习需求冲突的核心矛盾，本文重构“数据感知–模拟预报–智慧调度”三阶递进式课程知识体系，在此基础上设计了“课程重构–学情感知–个性教学”的智慧教学模式，明确全流程教学路径，实现课前、课中、课后教学全流程的智慧化升级，为破解水文专业教学转型困境、培养符合行业需求的“AI + 水文”复合型新工科人才提供可落地的实践路径，也为水利类工科专业的教学改革提供参考范式。

Abstract: The in-depth development of Emerging Engineering Education initiatives and the smart water conservancy industry has put forward brand-new requirements for the digital-intelligent literacy and engineering innovation capabilities of talents majoring in Hydrology and Water Resources Engineering. Aiming at the core dilemmas of the current traditional teaching mode for hydrology majors—its disconnection from the industry’s demand for digital-intelligent transformation, and the conflict between standardized teaching and students’ individualized learning needs—this paper establishes a three-stage progressive curriculum knowledge system of “Data Perception-Simulation and Forecasting-Smart Operation and Regulation”. On this basis, it designs a smart teaching mode featuring “Curriculum Reconstruction-Learning Situation Perception-Individualized Teaching”, clarifies the whole-process teaching path, and realizes the intelligent upgrading of the full teaching cycle covering pre-class, in-class and after-class links. This study provides a practical and implementable path to resolve the teaching transformation dilemma of hydrology majors and cultivate interdisciplinary “AI + Hydrology” emerging engineering talents that meet industry needs, and also offers a reference paradigm for the teaching reform of water conservancy-related engineering majors.