ZHUYichun,DONGShanyan,LIANJunfeng,et al.Teaching Reform and Practice of the Course Water Quality Engineering Driven by AI Empowerment and Industry-Education Integration[J].China Water & Wastewater,2026,42(6):24-30.
Teaching Reform and Practice of the Course Water Quality Engineering Driven by AI Empowerment and Industry-Education Integration
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第42卷
Number:
第6期
Page:
24-30
Column:
Date of publication:
2026-03-17
- Keywords:
- the course Water Quality Engineering; teaching reform; ideological-political education; artificial intelligence (AI); industry-education integration
- Abstract:
- Water Quality Engineering is a core course in the water supply and drainage science and engineering major. The teaching reform of this course is oriented toward national strategies such as the “healthy water cycle society” and the“dual carbon” goal, playing a vital role in cultivating outstanding emerging engineering talents equipped to meet the demands of the era. Focusing on the universal needs of professional course reform, driven by artificial intelligence (AI) empowerment and industry-education collaboration, through the development of ideological-political case repository integrating professional knowledge with social values, AI-supported whole-process learning analytics and blended teaching innovation, cross-institutional resource-sharing mechanisms via virtual teaching and research platform, collaborative development of practice bases and dynamic updates to course content, the course has effectively addressed the chronic issues in traditional engineering education: the gap between learning and application, isolated educational resources, outdated content, and rigid classroom models. The proposed model advocates leveraging disciplinary or regional strengths, making it readily replicable and applicable across various engineering courses. It offers a new paradigm for cultivating engineering talents who are ethically grounded, technically proficient, and innovation-driven.
Last Update:
2026-03-17