人工智能赋能下的物流工程课程体系改革与实践

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中图分类号：F250-4；G642.3 文献标志码：A DOI： 10.13714/j.cnki.1002-3100.2026.04.041

leform and Practice of the Logistics Engineering Curriculum System Empowered by Artificial Intellgence

（ ， ）SHAO Li， RAO Pingping， YU Wangcheng， CHEN Youliang， CUI Jifei（SchoolofEnvironmentandArchitecture，UniversityofShanghaiforScienceandTechnologyShanghai293，China）

Abstract： Withtherapiddevelopmentand widespreadapplicationofartificialintellgence （A1），theteachingsystemoflogistics enginerig inuniversities isfacingnewopportunitiesandchalenges.Traditional teaching modelslagbehind inupdatingcourse content，innovatingtachingmethods，ndalatiglaingoutcoes，aingitdiulttoettedemandorintesila logisticsprofessonalsintheeraofintellgence.Basedonthesystematicandpracticalcharacteristicsoflgisticsengineringthis paperconstructsan AI-empoweredteachingreformframework，andconductssystematicresearch fromfour perspectives： intellgent contentdesigigitaltacinmoes，ivsdeatisstesdtegaedidloicaldpiticaluatioi.By introducinginteligentlearningalytipatfos，irtualulatiotachingevionments，nddatadrvenealuatinhaiss aclosed-loopteachingmodelof"theorypracticefeedback-optimization"isestablished.Theresearchresultsdemonstratethatthe introductionofAIsignificantlyehancesstudents'systemdsigncompetence，innovativetinking，andlearninginiiative，while improvigteachersinstructionalprecisionandcourseresources'dnamicupgrading.Moreover，theorganicintegratioofideological andpoliticalducatioincousesfurtereanesthcultivatonofstudentsproesioalethisandocialesposibilityaaes achieving theunityofknowledgeimparting，abilitycultivation，andvalueshaping.Thistudy providesafeasiblepathwayand practical reference for the intelligent transformation oflogistics engineering education.

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近年来，人工智能技术的快速发展与广泛应用，使物流行业正加速向智慧化、数字化转型。（剩余5335字）