An Evidence-Constrained RAG Learning Support System for Interdisciplinary Smart Water Engineering Education: Multi-Source Knowledge Governance and Reproducible Technical Evaluation
Smart water engineering is inherently interdisciplinary, requiring students to synthesize hydrological and hydraulic principles, observational data, domain-specific models, engineering standards, and computational tools to support evidence-based reasoning and decision-making. Yet, the knowledge required for such learni...
Yuan-Kang Yuan, Jia-Run Huang, Yu-Hui Cai et al.
· Applied Sciences · 0 citations