土木类专业课程数智赋能教学模式探索与改革实践——以《路基路面工程》为例

Exploration and Reform Practice of Digital Intelligence-Empowered Teaching Mode for Civil Engineering Courses—A Case Study of Subgrade and Pavement Engineering

摘要: 人工智能的急速发展正在促使高等教育课程教学向数智化方向转型，传统的土木工程专业课程教学多以课堂讲授和工程实训方式为主，教学组织及决策多依赖教师经验，土木工程课程教学的数智化水平有待进一步改善。因此，亟需探索并明确土木类专业课程教学的数智化赋能模式与路径。本文以《路基路面工程》课程为依托，开展数智赋能路基路面工程课程教学模式研究。探索建立了路基路面工程课程知识图谱，完成了数智化教学资源建设，基于数据驱动评价体系实现了学情精准评价、学生个性化学习路径推荐和课程资源更新，建设完善了路基路面工程智慧课程教学平台，最终形成“一核双径三支撑”的智慧课程教学模式。教学改革成效表明该模式使学生主要概念的掌握准确率由58%提高到86%，学习时长缩短了28%，学生高阶工程能力和创新实践能力显著增强。为土木工程及道路桥梁与渡河工程专业课程教学数智化转型提供了有力参考依据。

Abstract: The rapid development of artificial intelligence is driving the transformation of higher education course instruction toward digital and intelligent paradigms. Traditional teaching of civil engineering courses predominantly relies on classroom lectures and engineering practice, with instructional organization and decision-making heavily reliant on teachers’ experience. Consequently, the digital and intelligent level of civil engineering course instruction requires further improvement. Therefore, it is urgent to explore and define the effective empowerment models and pathways for the digital and intelligent transformation of civil engineering course instruction. For the course Pavement and Subgrade Engineering, this study investigates the digitally empowered teaching model. We have established a knowledge graph for the course, developed digital and intelligent teaching resources, and implemented a data-driven evaluation system to achieve accurate assessment of students’ learning status, recommendation of personalized learning paths, and dynamic updating of course resources. On this basis, a smart course teaching platform has been constructed and refined, ultimately forming a “One-Core, Two-Path, Three-Support” smart teaching model. The outcomes of the teaching reform demonstrate that this model increases students’ accuracy in mastering key concepts from 58% to 86%, reduces learning duration by 28%, and significantly enhances students’ higher-order engineering abilities and innovative practical skills. This study provides a valuable reference for the digital and intelligent transformation of course instruction in Civil Engineering and Road, Bridge and River-Crossing Engineering majors.