人工智能人才培养中产学互增理论研究

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中图分类号：G640 文献标志码：A 文章编号：2096-000X（2025）23-0078-05

Abstract：Atpresent，theArtificialInteligence（AI）talentsareinurgentneedwithlargeamountandhighquality.The characteristicsofrapidknowledgeupdateandhighpersomeleliminationrateinthisfieldhavetriggeredthedemandfor upradingthetheoreticalresearchsystemandtalenttrainingmechanisminuniversities.Asthemainexporterofscientific theories，universitiesareinlackoftheforesightandtheoreticalindependencecomparedtotraditionalmathematicalandphysical sciencesinthefieldofAI.Theartifcialintelligencemajoremergedrelativelylate.Thecourseframeworkisoftenorganizedby thecombinationofcomputerscienceandstatistics，etc.andthereisstillroomforimprovementintermsofsystematicness.This paperproposesaconceptofcultivatingartfcialinteligencetalentswithself-growthabilitybasedontheSino-GemanjointAI Roentgen ClassBaseof Shenzhen TechnologyUniversity，weproposetheconceptof "mutual-enhancementbetweenindustryand academy"toenhancethedominantabilityintalentstrainingandthedevelopmentintechnologies.Weestablishaclosedloopof "disciplineonstruction-enterpriseintershipevaluation-campusupgrading-jobsearchcoperation-disciplineconstruction" fortheundergraduates，ithascompletedthe"secondarycycle"growthprocessofundergraduatestudentsinuniversitiesandthe industrialsector.Ontheonehand，cultivatingundergraduatestudentswithgrowthvitalityhas，fromthesource，weimprovethe employmentrateandlong-termcompetitivenessoftheundergraduates.Ontheonehand，amorereasonabledisciplinary frameworkofeducationisbuilt，whichisabletomeettheneedsofsocietybutalsoensuretheforward-lookingandindependent natureofuniversitiesasresearchandteachingvenues，formcomplementarycoperationwiththeindustrialsector，andconsolidate the theoretical advantages ofuniversities.

Keyword：ArtificialIntellgence;mutual-enhancementbetweenindustryandacademy;growth-orientedtalent；secondary cycle;scientific construction

人工智能是当前社会重要的生产力，正在与国计民生相关的各行各业发生紧密的协同作用。（剩余7804字）