大语言模型赋能轨道交通专业研究生培养模式转型探究

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中图分类号：G640 文献标志码：A 文章编号：2096-000X（2025）36-0047-05

Abstract：Againstthebackdropofrapidadvancementsinartificialinteligence，railtransit-asavitalmodernandinteligent publictransportationmode-facesdualdemandsfortechnologicalupgradingandtalentcultivation.Theriseoflargelanguage modelspresentsunprecedentedoporunitiesforgaduateeducationenablingatransformationinailtransitgraduatetraingfrom traditionalapproacstowardintellgntpsonalied，ndinovativediretions.Thisapervestigatesteurrntalcatioof largelanguagemodelsingraduateeducationandtheneedsofrailtransitgraduatestudentsregardingtheiruse.Thestudy identifiesissesinexistingcourseinstructionandresearchactivies，proposesapplicationpathwaysforlargelanguagemodels， explorestheirusecasesinresearchtraining，andconstructsanewgraduatetrainingmodelforrail transitbasedonlarge languagemodels.Thisresearch providesefectivereferences fortransforming graduateeducationmodelsunder largelanguage modelsandenhancingthecultivationqualityofrailtransitgraduatestudentsinprofesionalcompetenceandresearch literacy.

Keywords：largelanguagemodels;rail transitdiscipline;training model;research training；intelligenttransformation

2017年，国务院印发的新一代人工智能发展规划中提出，利用智能技术加快推动人才培养模式、教学方法改革，推动人工智能在教学、管理、资源建设等全流程应用。（剩余8665字）