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人工智能人才培養(yǎng)中產(chǎn)學互增理論研究

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中圖分類號:G640 文獻標志碼:A 文章編號: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

人工智能是當前社會重要的生產(chǎn)力,正在與國計民生相關的各行各業(yè)發(fā)生緊密的協(xié)同作用。(剩余7804字)

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