[1]张盛楠,徐泽,王腾飞,等.水质工程学(1)课程数智化重构与思政融合路径探索[J].中国给水排水,2026,42(6):18-23.
ZHANGShengnan,XUZe,WANGTengfei,et al.Exploration of the Path for Digital?intelligent Reconstruction and Ideological and Political Integration in the Course Water Quality Engineering Ⅰ[J].China Water & Wastewater,2026,42(6):18-23.
点击复制
ZHANGShengnan,XUZe,WANGTengfei,et al.Exploration of the Path for Digital?intelligent Reconstruction and Ideological and Political Integration in the Course Water Quality Engineering Ⅰ[J].China Water & Wastewater,2026,42(6):18-23.
水质工程学(1)课程数智化重构与思政融合路径探索
中国给水排水[ISSN:1000-4062/CN:12-1073/TU]
卷:
第42卷
期数:
2026年第6期
页码:
18-23
栏目:
出版日期:
2026-03-17
- Title:
- Exploration of the Path for Digital?intelligent Reconstruction and Ideological and Political Integration in the Course Water Quality Engineering Ⅰ
- 关键词:
- 水质工程学(1)课程; 数智化课程; 课程思政; 教学改革
- Keywords:
- the course Water Quality Engineering Ⅰ; digital-intelligent course; course ideology and politics; educational reform
- 摘要:
- 在新工科与教育数字化转型背景下,针对传统教学“重理论轻实践、重技术轻价值”等问题,以水质工程学(1)课程的数智化建设为主线,提出“数智驱动、思政引领”的教学改革路径。依托超星学习通平台打造融合基础知识和前沿导论的知识图谱,创新“数智资源支撑-线上线下联动-人工智能(AI)精准赋能”混合式教学模式,结合虚拟仿真、建筑信息模型(BIM)建模、三维(3D)打印及AI辅助工具构建数智化教学生态。基于“纵向历史传承+横向国际对标”形成双线思政教育框架,实现思政元素与专业内容的深度绑定。实践表明,该模式显著提升了学生的工程实践能力、创新思维与社会责任感,并在学科竞赛、大创项目与育人成效方面取得多项成果,为同类课程的数智化建设提供借鉴。
- Abstract:
- Against the backdrop of the emerging engineering education initiative and the digital transformation of education, in response to the problems of traditional teaching that emphasizes theory over practice and technology over value, this research proposes a reform pathway characterized by “digital intelligence-driven innovation with ideological and political guidance”, with the digital and intelligent construction of the course Water Quality Engineering Ⅰ as the main line. Based on the Chaoxing learning platform, a knowledge graph integrating basic knowledge and cutting-edge introductions was built. An innovative blended teaching model of “digital intelligence resource support-online to offline linkage-artificial intelligence (AI) precise empowerment” was established. A digital-intelligent teaching ecosystem was constructed by combining virtual simulation, BIM (building information modeling) modeling, 3D (three dimensional) printing, and AI-assisted tools. Furthermore, through the combination of vertical historical inheritance and horizontal international benchmarking, a dual line ideological and political education framework was formed to achieve a deep integration of ideological and political elements with professional content. Practice shows that this teaching model has significantly improved students’ engineering practice ability, innovative thinking, and sense of social responsibility, achieving positive outcomes in subject competitions, innovation projects, and overall educational effectiveness. It provides reference for the digital-intelligent construction of similar courses.
更新日期/Last Update:
2026-03-17