Taking "Structure Mechanics" as an example, this paper systematically explores the deep integration pathways and implementation outcomes of digital-intelligent resources in civil engineering courses. By constructing a teaching framework centered on the "3W" Maps (Knowledge Map, Competency Map, and Value Map) and integrating digital-intelligent resources such as AI-based teaching/learning assistants, digital human technology, ExamCool, XuetangX, and new-format textbooks, a closed-loop blended teaching model encompassing "pre-class preparation — in-class Interaction — post-class consolidation — assessment and evaluation" has been developed. Practice has demonstrated that this model significantly enhances teaching quality and learning efficiency, enabling cross-institutional resource sharing and personalized learning support mechanisms. It effectively addresses issues inherent in traditional teaching, such as delayed feedback and uneven resource distribution, thereby advancing the application of artificial intelligence in education. Recognized as a typical case of digital-intelligence-enabled high-quality educational development in Shandong Province in 2025, these practical achievements exhibit considerable potential for promotion and application.