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ThousandOaks sNewDelhi21 AdultCognitiveDevelopment:DynamicsintheD evelopmentalWebKURTFISCHER,ZHENGYANandJE FFREYSTEWARTA dulthoodnormallyspansmorethan60years,sta rtingfromaboutage20, ,complex,anddynamic,perhapsevenmoresotha nininfancyandchildhood,withmanyfactorsac tingtogetherinvariouscontextstoproducesy stematic, ,itcanbcobservedthatadultsfrequentlyshow regressionperformancesandmovedowntolower levelsofcognitiveskillandthenconstructhi gherlevels,insteadofalwaysfollowinga , , ,andreexaminethelimitationsoftraditional cognitiveanalyses(Fischer,1980b;Fischer& Bidell,199$;Valsiner,1991;vanGeert,1994) .Aconstructedweb(likethatbuiltinnatureby a spider)servesasthemeta-metaphorfordevelo pment,andfromthewehweelaboratethreeImpor tanttypesofdynamicpattemsinadultcognitiv edevelopment:dynamicranges,dynamicstrand sandnetworks, ,webegintocapturetherichnessandcoin-Plex ityofadultcognitivedevelopmentandtooffer anewstoryabotitwhat,how, :META-METAPHORSOFADULTCOGNITIVEDEVELOPME NTT hehistoryofscienceshowsthatdiffereirtmet s-metaphorsfunctioningas centralmentalmodelshavehadtremendousimpa ctonscientificthinking(forexample,viewin gtheearthasthecenteroftheuniverse,seeing thespiralasthestructureofDNA,considering thepersonasadigitalcomputer).

separation of positive and negative activities (good and bad, nice and mean, approach and avoidance). The web metaphor stresses that many components contribute to allyactivity, producingdiverse shapes ofdevelopment. Aperson acts interactively, engaged with his or her many environments, and the action process is dynamic and nonlinear because the

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Transcription of of DEVELOPMENTAL PSYCHOLOGY

1 ThousandOaks sNewDelhi21 AdultCognitiveDevelopment:DynamicsintheD evelopmentalWebKURTFISCHER,ZHENGYANandJE FFREYSTEWARTA dulthoodnormallyspansmorethan60years,sta rtingfromaboutage20, ,complex,anddynamic,perhapsevenmoresotha nininfancyandchildhood,withmanyfactorsac tingtogetherinvariouscontextstoproducesy stematic, ,itcanbcobservedthatadultsfrequentlyshow regressionperformancesandmovedowntolower levelsofcognitiveskillandthenconstructhi gherlevels,insteadofalwaysfollowinga , , ,andreexaminethelimitationsoftraditional cognitiveanalyses(Fischer,1980b;Fischer& Bidell,199$;Valsiner,1991;vanGeert,1994) .Aconstructedweb(likethatbuiltinnatureby a spider)servesasthemeta-metaphorfordevelo pment,andfromthewehweelaboratethreeImpor tanttypesofdynamicpattemsinadultcognitiv edevelopment:dynamicranges,dynamicstrand sandnetworks, ,webegintocapturetherichnessandcoin-Plex ityofadultcognitivedevelopmentandtooffer anewstoryabotitwhat,how, :META-METAPHORSOFADULTCOGNITIVEDEVELOPME NTT hehistoryofscienceshowsthatdiffereirtmet s-metaphorsfunctioningas centralmentalmodelshavehadtremendousimpa ctonscientificthinking(forexample,viewin gtheearthasthecenteroftheuniverse,seeing thespiralasthestructureofDNA,considering thepersonasadigitalcomputer).

2 Like-wise, simplefixedprogression,followingmonotoni echange,withonestepfollowinganotherina ,thedevelop-mentalladder-liketrajectoryh asatleastthreefeatures:(1)developmentsim plyfollowsa singlestraightline;(2)eachstepisfixed,fo llowingthepreviousstepalongtheline;and(3 ) (1983)cognitivedevelopmentalmodel,asitis us~sallyunderstood,isoneofthemostcommonl adder-likemodelsofhumancognitivedevelopm ent(althoughPiagethimselfhada moredynamicview,asinPiaget,1975).Accordi ngtothismodel,thinkingprogressesthrougha ,addingmorestagesormoreunevennessacrossd omains492 DEVELOPMENTINADULTHOOL)SingleTrendlineof DevelopmentinOneDirection(Alexandereta!. ,1990;Baltes,1987;Basseches,1984;Berg,20 00;Commonsetal.,1998;Dawson,1999;Erikson ,1968;Gardner,1983;Gruber,1981; ;King&Kitehener,1994;Kohlberg,1969;1984; Loevinger,1976;Sinnott,1998).Thesemodels eitherhavesubstantiallyexpandedPiaget smodelalongtheverticaldimensionbyaddingh ighercognitivestagessuchaspost-formalope rationsandadvancedreflectivethinking,orh aveextendedPiagetsmodelalongthehorizonta ldimensionbyincludingmoreeognitiv ,suchasstandardizedabilitytesting,oftenh aveacknowledgedphenomenasimilartoPiageti anstages,buthaveemphasizedcertainupwarda nddownwardgeneraldevelopmentaltrendsasso ciatedwithageonstandardizedtestsofabilit ies(Baltes,1987;Birren,1964;1970;Craik,1 977;Craik&Salthouse,199!

3 ;Horn,1982;Horn&Cartell,1967;Salthouse,1 984;1992;Sternherg,1985).Someabilities,s uchascrystallizedintelligence,increasewe llintooldage,whileothers,suchasfluidinte lligence, ,butallofthem,todifferingdegrees, ,likechildcognitivedevelopment,ashstatic progressiveprocessunfoldingalonga series~fixedladdersteps,eitherthroughsta gesor through~ short,thismeta-metaphordoh~simplifycompl exdevelopmentalphenomenaandsketchgeneral developmentaltrends,butatth~expenseofneg lecting,downplaying, ,developmentalwebsportrayadultcognitived evelopmentasa ,thedevelopmentalwebhasatleastthreeimpor tantfeatures:(I)developmentoccursina complexmulti-levelrange;(2) DEVELOPMENTAL pathwaysundergodynamictransformationthro ughmultiplestrandsornetworklinks;and(3) (Fischer&Bidell,1998)analyzesdevelopment asinvolvinga ,ittumsout, dynamicworldwithvarioussocial,emotional, technological, descriptionofdevelopmentthataimsatbothri gorandhonesty, webcapturestheinterconnectedcom-plexityo fskillsindiversecontexts, ,sometimesconverg-ingthroughcoordination ,sometimesdivergingthroughseparationordi fferentiation, ,suchastheseparationofpositiveandnegativ eactivities(goodandbad,niceandmean,appro achandavoidance).

4 Thewebmetaphorstressesthatmanycomponents contributetoallyactivity, personactsinteractively,engagedwithhisor hermanyenvironments, ,eachpersonconstructsa uniqueweb, compositeofavailablelevels thedevelopmentalrange withreferencetotheexperiencesandcontextu alsupportsthatcontributetoitsconstructio n,Foranysingledomainofaction(singlestran d),a person scompe-tenceisnotfixedata particularpointonthestrandbutcanvaryalon ga domain, :DYNAMICSINTHEDEVELOPMENTALWEB493complex activity,andjointparticipationwithothers allaffectthelevelofa person ,thedevelopmentalwebdiffersfroma developmentalladderinatleastsiximportant ways:IThewebplacesvariationinactivityatc enterstage,whereastheladderdownplaysvari ation,relegatingit tomarginalityaserroror individualdifferences,2 Thewebisbasedonindividualcognitiveperfor mance, ,whereastheladderassumesasinglelevelata ,whereastheladdertreatsdiversetasksanddo mainsintermsofa singleline,SThewebhasinherentlycomplexin terconnec-tionswithinit,whereastheladder doesnotincludenetworkingamongelements,6 Thewebshowsmultipledirectionsofcon-struc tion,suchasforwardconsolidationandbackwa rdtransition,whereastheladderassumesa ,> I,a,a-naE0)

5 A0-cCa,Ea0a,>a,~ powerfulmeta-metaphor,thewebcanfacilitat ebetterunderstandingofwhat,how,andwhyadu lts ,forthesamecognitivetask, ,cognitiveperformanceinadultsvariesmuchm orewidelythaninchildren,Adultscanthinkmo reflexibly,dynamically,andcontextuallyth anchildren,whilelikechildrentheyalsocont inuetomakeerrors,evenridiculousmistakes, andtoactinsimple, ,theupperlimitofcognitivefunctioningcont inuestoincreasebeyondwhatPiagetcalledfor maloperations(Inhelder&Piaget,1958;Piage t,1975;1983).Thus,adultscansolvemuchmore abstractandcomplicatedcognitivetasksthan children, ,representinga continuingincreaseinadults optimalcognitiveskillsanda widerangeofvariationinthelevelofskillsth atadultscanuseinadomain,MultipleLevelsof AdultCognitiveDevelopmentAlongwiththeinc reaseinoverallcomplexityofadults cognitivedevelopment,bothdevelopmentalre searchandeverydayobservationsindicatetha tadultsshowmultiplelevelsof cognitivedevelopment,notperformanceat onefixedlevel,Evenverywiseadultsusesimpl eskillswhenthesituationrequiressimpleact ion, multilevelperformancevarywithcontextuals upport,priorexperience, upperlimit :peoplehaveanupperlimitona ,becauseevenanadult supperlimitvanesdynamicallywith~j5Ab2->0 ) ,varyingwithcontextualsupport:optimallev elandfunctionallevel,Thereisnosingleleve lof ,intheabsenceoftaskinterventionorscaffol dingbyothers,individualsshowgreatvariati oninskilllevelsintheireverydayfunctionin g(Fischer&Bidell,1998;Fischer,Hand,&Russ ell,1984;vanGeert,2002).

6 Optimallevelsareattainedprimarilyinthose infrequentcircumstanceswhenenvironmental conditionsprovidestrongsupportforcomplex performance-Suchconditions,includingclea rlydefinedtasks,familiarmaterials,practi ce,andmemoryprimingofthegistoftheactivit y,arenotpresentinmostsituations-Forthisr eason,everypersonshowsa persistentgapbetweenthefunctionallevelun dertypical(low-support) ,gradual,andcontinuousgrowthovertime,whe reasoptimallevelsexhibitstage-likespurts andplateauswithinanupwardtrend,likethose inFigure21, ,becomingmoredisparatewithage, skillina particulardomainovertime,whereastheoptim allevelS-theupperlimitonfunctioning isachievedthroughstrongcontextualsupport fora skillcom-binedwithorganicgrow-lbprocesse sthatreorganizebehaviorandbrainactivityi nrecurringgrowthAgeinyearsPrinciples:lev elAb42428 Abstractsystems:levelAbSAbstractmappings :levelAb2 ,mentotoptanalandfrenctionallevelsinodom ainADULTCOGNITIVEDEVELOPMENTDYN1 MIGS[ ,thegapbetweenfunctionalandoptimallevels gro\ givenskillthaninitsfunctionallevel,andco nse-quentlythegapincreasesfromearlychild hoodthroughadulthood(Bullock&Ziegler,199 4;Fischer,Kenny,&Pipp,1990;Kiteheneret al.)]

7 ,1993:Watson&Fischer,1980). studyofhowKoreanadolescents( adolescentthroughyoungadult)sawthemselve sinrelationshipwithothers,studentspartic ipatedintheSelf-in-RelationshipsIntervie w,whichincludedbothanopen-endedinter-vie wabouttheirrelationships(lowsupport)anda high-supportassessment(Fischer&Kennedy,1 997;Kennedy,1994).Supportwasprovidedthro ughtheircreationofa ,students(a)createddescriptionsoftheirch aracteristicswithparticularpeople;(b)pla cedthedescriptionsinoneofthreeconcentric circlesfrommosttoleastimportant;and(c)gr oupedsimilardescriptions,drewconnectingl inestoindicaterela-tions,andaddeda plusor minustoindicateemotionalvalence(good,bad ,orambivalent).Thentheinter-vieweraskedt hema seriesofquestionstoelicitexplanationsoft heirdiagramat higherlevel,singleabstractions, ,theirtrajectoryshowedspurtsfortheemerge nceofabstractmappingsandabstractsystems, \verecalledforthwithsupport,whileanabsen ceofsupportledtolow-levelskills,Notethat optimallevelproducesa seriesofspurtsingrowthfollowedbyplateaus orsmalldrops adynamicpatternof changethatiscommonindevel-opment(Fischer &Bidell,1998;Fischer,Kenny,&Pipp,1990);T hatcher,1994;vanderMaas&Molenaar,1992).

8 ,evenforthe same skillinthesameperson, clusterofspurtswithina concurrentzone, ,Putanotherway,inthedevelopmentalweb,the optimallevelMathematicsSelfinReflectivej udgmentrelationshipsClustersof neurophysiologiealcorrelate,inthatcortic alsubstratesfortheincreaseinabilityshowd evelopmentalchangesthatmirrorthebehavior alones(Fischer&Rose,1994;Thatcher,1994). Thatis, ,whenpeopleactautomatically(withoutthink ingorconsciouslychoosing),theytypicallya ctat a lowlevel,aswhensomeonestepsonthebrakeaut omaticallywhena ,huttheyexistineverydomain, ,peoplefrequentlyacttogetherwithotherpeo ple, familystory,puttingtogetherajigsawpuzzle ,playingpoker,orbuildinga ,some-timesinexpertandnovicerolesaswitht eacherandstudent(Wood,Bruner,&Ross,1976) andsometimesasmoreequalcollaborators(Gra nott,I993b;Valsiner,1996).Inactuality, ,eitherdirectlysharingthemor , ,peopleen-constructcomplexskillsthatofte ngobeyondtheirindividualcapacity,asVygot sky(1978)emphasizedwithhisconceptofthezo neofproximaldevelopment,andWood,Bmn er,andRoss(1976) ,theimportanceofsuchsocialconstructionha sbeenrecognizedfortheentirehistoryofmode rnpsychologyandchilddevelopment,butitcon tinuestobeneglectedinmostresearchandtheo ry(Valsiner&vanderVeer,1988),whichisespe ciallypuzzlinginelaborationsofexplicitth eoriesofsocialcon-structionsuchasErikson s(1963).

9 Co-constructiveprocessesareat leastasimportantinadultsastheyareinchild ren,inaddition,peoplemoveupanddowninthel eveloftheirperformance,adaptingtothesitu ation,goal,task,emotionalstate, ,evenmoreinadultsthaninchildren(Bullock& Ziegler,1994;Fischer&Granolt,1995;Granot t,l993a:2002;Kuhnetal.,1995;Roberts,198l ;Siegler,2002; ).Asa strandina person swebgrows Automaiized runctiona]Optima]-scaffo] weblonger,heorshehasa ,markedbythicksolidlines, ,perfonnedthoughtfullybutwithoutsupport, ,whichusuallydependoncontextualsupport, ,inwhichpeoplejointlyperfonna complexactivity, ,bothbecauselaterskillsarebuiltonearlier onesandbecauseadultsroutinelyuseskilllev elsthatfirstemergeininfancyandchildhood( especiallywhentheymovedownina strandofthewebtouseautomatizedskills,orm akebackwardtransitionstobuildnewskills). Dynamicskilltheorydescribesthecontext-ba sedconstructiveprocessofbuildingfromrefl exestoactions,fromactionstorepresentatio ns,andfromrepresentationstoabstractions( Fischer,1980b;Fischer&Bidell,1998).

10 Cognitiveactivityundergoesmassiverestruc turingduringtheyearsofinfancyandchildhoo d, ,peoplerestructuretheiractivitiesagain,m ovingfromrepresentationstoabstractions,M uchoftherestofadulthoodinvolvesconsolida tion,elaboration,integration,synthesis,a ndextensionoftheseabstractskills,Theskil lhierarchynotonlydescribescognitivedevel opment,hutprovidesa mlerforassessingandstudyingdynamicvariat ionsinadultactivities,Thisrulerallowscom parisonoflevelsacrossconditionsandtasks, suchas optimal,functional,andscaffoldedlevels( ),anditmakespossibleanalysisofthedynamic sofreal-timelearningandproblem-solving,a sinbackwardstransitionsand F F FFFFFFFFFFFFADULI COGNITIVEDEVELOPMENT:DTNAMICEINTHEDEVELO PMENTALWEB497for\vardconsolidation,Dynam icanalysisofskillrequiressucha scaletoassessvariabilityandtomodelit,Cog nitivedevelopmentresearchhasbeenhampered bytheabsenceofsuchscalesforcodingactivit yacrosstasks,domains,andtrials,exceptint hearenaofmotoractivity;whereCartesiancoo r-dinatesprovideready-madescalesfordynam icanalysis(Rose&Fischer,1998;Thelen&Smit h,1994;vanGeert,1994).


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