智能时代背景下环境工程课程体系改革路径探析OA

The rapid development of big data and Artificial Intelligence(AI)technologies is profoundly reshaping the research paradigms and practical approaches in environmental engineering.However,the current environmental engineering curriculum still faces real-world challenges,such as insufficient integration with intelligent technologies,weak interdisciplinary support,and deficiencies in students'literacy and practical application skills related to AI.According to the broader context of the new engineering education initiative and engineering education accreditation,this study systematically elaborates on the necessity and inherent logic of integrating environmental engineering education with big data and AI technologies.Guided by the tripartite reform philosophy of value reshaping,knowledge restructuring,and capacity re-engineering,a modularized new curriculum system centered on data intelligence literacy is constructed.A tripartite teaching model is proposed,which integrates project-driven intelligent scenario teaching,virtual-real combined intelligent simulation experiments,and industry-education collaborative intelligent practice bases,along with the establishment of a multi-dimensional and dynamic evaluation mechanism based on learning process data.From the three dimensions of faculty development,teaching resources,and quality culture,the pathways and supporting systems for implementing the reform are discussed.This study aims to provide theoretical foundations and practical frameworks for adapting environmental engineering education to the intelligent transformation and cultivating outstanding engineering talents for the future environmental protection industry.