人工智能赋能环境类课程改革路径探索——以《大气污染控制工程》为例

Exploration of AI-Enabled Reform Paths for Environmental Courses—Taking Air Pollution Control Engineering as an Example

摘要: 教育数字化战略与“双碳”目标推动智慧环保产业快速迭代，对环境工程课程数智化、素养化教学提出新要求。地方应用型高校《大气污染控制工程》课程存在教学内容滞后、复杂工程实践场景不足、评价体系重结果轻过程等痛点，人工智能(AI)的融入又会衍生出新风险。本文立足新工科与成果导向教育理念，结合近年环境类课程AI教改实践，从三阶课程重构、虚实融合实践、三元协同评价、伦理风险治理四个维度，构建“知识–能力–价值”三位一体的数智化改革体系。通过虚拟仿真、学情数据与现有教学平台，推动课程从知识讲授向工程能力、职业素养、绿色价值协同培育转型，为地方高校环境类课程智能化改革提供参考。

Abstract: The education digitalization strategy and the “dual carbon” goals are driving the rapid iteration of the smart environmental protection industry, imposing new requirements on the digital-intelligent and competency-oriented teaching of environmental engineering courses. In local application-oriented universities, Air Pollution Control Engineering faces pain points such as outdated teaching content, insufficient complex engineering practice scenarios, and an evaluation system that emphasizes results over process. The integration of artificial intelligence (AI) may also generate new risks. Based on the concepts of new engineering disciplines and outcome-based education, and combined with recent AI teaching reform practices in environmental courses, this paper constructs a digital-intelligent reform system featuring a trinity of “knowledge-ability-value” from four dimensions: three-stage curriculum reconstruction, virtual-real integrated practice, tripartite collaborative evaluation, and ethical risk governance. Through virtual simulation, learning analytics data, and existing teaching platforms, the course is promoted to transform from knowledge transmission to coordinated cultivation of engineering competence, professional quality, and green values, providing a reference for the intelligent reform of environmental courses in local universities.