AI驱动下“生物化学”课程教学改革探索

Abstract:ThegroundbreakingaplicationsofArtificialIntellgence(AI)inbiochemistrysuchasproteinstructure prediction andmetabolicpathwayanalysis—present tansformativeopportunitiesfortraditionalpedagogyAddressingtheissesof"toretical abstraction,tehnologicalosolesence,ndfragmentedpractice”inheiochemistrycourse,thissudyproposesanetic teachingreformframework.Byintegratingspecializedtools（e.g,lphaFold,MetaboAnalyst）,weonstructatripartite"eo platform-practice"teachingmodel,combiningcase-basedleaingandproject-drivenmethods toshiftthepedagogicalfocusfrom staticknowledgetransmisiontodynamicproblem-solvingandinnovativecapabilitydevelopment.Empiricalresultsdemostateat thismodel significantlyenhancesstudents‘comprehensionandapplicationofcuting-edge biochemicaltechologies whilefostering computationalthinking,oferingapracticalparadigmforcultivatinginterdisciplinarytalentwithrobustdisciplinaryfoundationsand AI literacy.

Keywords: biochemistry;artificial intelligence; teaching reform;alphaFold;competency development

“生物化学”是生命科学与医学的基石课程。（剩余5505字）