2025北京高三（上）期末英語(yǔ)匯編

閱讀理解C篇

一、閱讀理解

（2025北京朝陽(yáng)高三上期末）Accordingtoanideacalledthe"'inflationary（暴脹的）multiverse^^,the

universehasbeenconstantlyexpanding,whichwouldhavecreatedacountlessnumberofotheruniverses.

Collectively,thesecosmicislandsformwhatscientistscalla“multiverse”.However,otheruniversesmayliebeyond

ourscientificreach,physicallyandphilosophically.Consequently,themethodologiesbywhichphysicistsmight

validate（驗(yàn)證）themultiverseandwhethersuchvalidationisevenpossibleremainunresolvedinquiries.

Inscience,hypotheses（假說(shuō)）areusedtoproposeexplanations,butfromhypothesestotheories,validationof

predictionsisessentialtoseewhetherinitialassumptionsaresupportedordisproved.TheoreticalphysicistCarlo

Rovellisays,“Itishardtowritetheoriesthatsurvivetheproofofreality.Fewsurvivethankstoabasicidea:Donot

trustyourfancies.Keeponlytheideasthatcanbetested.Rovelliadds,tuTodaymanyphysicistsarewastingtime

tryingtoguessandjumpingtoconclusions.Thisapproachhasneverworkedpreviously,anditisnotworkingnow.”

Themultiversemightbeoneofthosewildguesses.

Now,physicistsaredebatingwhetherthatproblemmovesthemultiversefromphysicstometaphysics,from

theworldofsciencetothatofphilosophy.PhilosopherRichardDawidbelievesscientistscouldsupportthemultiverse

hypotheseswithoutactuallyfindingphysicalsupport.<6Ifwehaveatheorythatseemstowork,andhavecomeup

withnothingthatworksbetter,chancesareourideaisright,“hesays.Noteveryoneissocheerful,though.Sabine

Hossenfelder,anothertheoreticalphysicist,thinks"Withoutmakingcontactwithobservation,atheoryisn'tpartof

thenaturalsciences,andnotphysics.9,

Somesupportersofthemultiverseclaimtheyhavefoundphysicalevidence.AndreiLindeinsists"Our

universeseemsfine-tuned（精調(diào)的）tobefavourabletolife,withafour-dimensionalspaceinwhichwecanlive.It

iscertainthatinaneternallyinflatingmultiverse,oneoftheuniversesshouldturnoutlikeours.Eachuniversecan

havedifferentphysicallawsandfundamentals.Givenlimitlesschanges,auniverseonwhichhumanscanbeborn

willbebom.Themultiverseactuallyexplainswhywe'rehere.Andourexistence,therefore,helpsexplainwhythe

multiverseisplausible.

JustasEinstein'stheoryofgeneralrelativitycouldonlybeconfirmedrecentlywithabillion-dollarinstrument

calledLIGO,scientistsmayeventuallydiscovermoredirectevidenceofthemultiverse.Sofar,allofsciencehas

reliedontestability,butthoseteststaketime,andmosttheoreticianswanttowaititout.Theyarenotreadytoshelve

anidealikethemultiverse-whichcouldactuallybetheanswertolife,theuniverseandeverything-untiland

unlesstheycanprovetothemselvesitdoesn'texist.Andthatdaymaynevercome.

1.Whatcanwelearnfromthepassage?

A.Themultiverseisrecognizedasatheory.

B.Themultiversestartsdebatesonhumanexistence.

C.Rovellicriticizesphysicistsfortheirbaselessfancies.

D.Dawidemphasizesthenecessityofphysicalevidence.

2.Whatdoestheunderlinedword“plausible“inParagraph4probablymean?

A.Credible.B.Complex.C.Essential.D.Fascinating.

3.Asfortheexistenceofmultiverse,theauthoris.

A.negativeB.neutralC.certainD.positive

4.Whichwouldbethebesttitleforthispassage?

A.MysteriesofMultiverse:Fine-TunedforLife

B.CanPhysicistsEverProvetheMultiverseIsReal?

C.TheInflationaryMultiverse:ProvenBeyondDoubt

D.HavePhysicistsLostTheirMindsintheMultiverse?

（2025北京東城高三上期末）In1993,ashipsailedintothePacificOceancarryingnearly1,000poundsof

iron,thendumpeditallintothewaves.Thenextmorning,thewaterturnedalittlegreenishduetonewlyemerged

phytoplankton（浮游生物）.Themicroorganisms,whichneedirontogrow,drawCO2outoftheair.

Fertilizingtheoceanwithironisaformofgeoengineering,asetoftechnologiesfascinatingfortheirpotential

tomeaningfullyimpactEarth'ssystems,andcontroversialforthesamereason.Astheplanetheats,geoengineering

isemployedtomanipulate（控制）itinnovelways,whetherresearchersmisttheskieswithseasalttoincreasehow

muchsunlightcloudsreflectorinventmachinestosuckgreenhousegasesoutoftheatmosphere.Engineeringhome-

grownplanktonsoundslikealessdramaticapproach.Butthefieldissonewthatscientistsdon'tyetknowwhether

geoengineeringwithmicroorganismswouldreallybeagentlerformofclimateintervention.Microbes,afterall,play

enormouslyconsequentialrolesintheworldaroundusandwithinus.ForthebestchanceofkeepingEarthliveable,

scientistsneedtounderstandexactlyhowthemicroscopiccreaturesmightbeuseful,andperhapsevenpreferableto

themoresci-fiapproachestocoolingofftheworld.

Onefavoredapproachcentersonmethane,agreenhousegasaccountingfor30%oftheriseinglobal

temperature.MaryLidstrom,aprofessor,isworkingongeneticallymodifyingbacteriathatnaturallyconsume

methane,sothatthemicrobespullevenmoregasfromtheair.Thebacteriawouldliveinsidefacilitiesknownas

bioreactors.Theycouldbepositionednearknownmethanesources——landfillsandwetlands——tominimizethe

amountofmethanethatmakesitintotheair.

Scalingupanykindofclimateengineeringistricky.Significantlyslowingwarmingcausedbymethanewould

requireabout300,000bioreactorstobeactivefor20years.Andthedownstreameffectsaredifficulttopredict,let

alonecontain.Forexample,theironputintothePacificOceancouldhaveconsequencesforotherregionsofthe

world'sseas.

Also,there?snearlyasmuchuncertaintyaboutintendedeffects.Scientistsdon'tknowforsurehoweffective

theseconceptswillprovetobe.The1993shipexpeditions,forexample,didn'tstickaroundverylong;thejourneys

wereexpensive,andscientistscouldn'tremainatseatodeterminewhatexactlywashappeninginthedepths.Carbon

stolenoutoftheatmosphereshouldremainburiedforatleastacenturyformaximumimpactYetifsentirelypossible

thatifthephytoplanktondoesn'tsinktodeepenoughwaters,itjustgetseatenbytheorganismsinthesurfaceocean,

andthatCO2justreturnstotheatmosphere.

Thehottertheplanetgets,themoreattractivegeoengineeringwilllikelyseem.Shortoflarge-scalebehavioral

changesglobally,wedoseemtobecommittingourselvestoanengineeredsolutiononourcurrentroutes.Wemight

havetodecide,soonerthanwethink,whichleversweneedtopull,largeorsmall.

5.Whatcanwelearnaboutgeoengineering?

A.Oceaniron-fertilizationisonthehorizon.B.Sunlight-reflectionmethodiscost-effective.

C.Methane-eatingbacteriaarebeingimproved.D.Gas-suckingmachineisatheoreticalconcept.

6.WhatcanweinferfromParagraph4aboutthegeoengineeringapproaches?

A.Theirimpactontheecosystemisoverlooked.B.Theirimplicationsarehardtoanticipate.

C.Theycallfordecadesofpreparation.D.Theyaremonitoredcontinuously.

7.Theiron-fertilizationexperimentmayachieveitsintendedeffectsif.

A.thetargetmicrobessurviveB.carbonisstoredseparately

C.thephytoplanktongrowsfasterD.moredeep-seaorganismsaretested

8.Whatmightbethebesttitleforthepassage?

A.HowWillGeoengineeringBetterEarth'sSystems?

B.HowtoCooltheWorldWithoutBlockingtheSun?

C.HowtoStealCarbonwithSci-fiApproaches?

D.HowCantheEngineeredSolutionDeliver?

（2025北京西城高三上期末）Inrecentresearch,mycolleaguesandIsetouttoinvestigatetheneural（神

經(jīng)的）mechanismsunderlyingexperienceslikesolvingchallengingproblems.Specifically,wewantedtounderstand

whathappensinthebrainwhileapersonengagesinabstractanddemandingthought-sowedesignedastudy

involvingmathexpertise.

Forourexperiment,weselected22universitystudentsmajoringinmathematics,alongwith22studentsfrom

otherdisciplines.Weaskedthestudentstowatchstep-by-steppresentationsthatexplainedhowtosolveseveral

challengingmathproblems.Throughoutthisdemonstration,thestudentsworeacapcoveredwithelectrodes（電極）

sothatwecouldtrackelectricalactivityintheirbrains.Aftereachpresentation,theyhadtoreportwhetherthey

thoughttheyhadunderstoodthepresentationsandhowengagedtheyfeltduringtheexperience.

Wefoundthatstudentswhosecourseworkinvolvedlittlemathematicsshowedmoresignsofcomplexactivity

intheprefrontalcortex（皮層）,indicatinghowhardtheywereworkingtounderstandthevariousstepsofthecomplex

mathdemonstrations.However,intheothergroup,wenotedsignificantactivitylinkingthefrontalandparietal（頂

骨）regionsoftheirbrain.Morespecifically,theseareasexhibitedapatternofactivitydescribedasdeltawaves.

Somerecentresearchsuggeststhatthesedeltawavesmayplayacrucialroleinthecognitive（認(rèn)矢口的）

processingthatsupportsdeepinternalconcentrationandtherelocationofinformationbetweendistantbrainregions.

Infact,wesuspectthatthelong-distancedeltawavesweobservedmayplayacentralrolewheneverpeopleengage

incontextualandcomplexproblem-solving.Thissuggeststhatengagingbrainnetworksinthiswaycouldbeuseful

formanytasksrequiringconcentration.Ifslikelythatwhenpeoplewithextensiveexperienceinataskaredeeply

engagedinthateffort,thesesamedeltawavesareinvolved,evenasthespecificbrainnetworksvary.It9salsopossible

——thoughwe'llneedtoinvestigatefurthertobesure-thatthisstateofdeepconcentrationisgeneralizable:

developingthiswayofthinkinginonedomaincouldhelpyouinothers.

Thesefindingssuggestatrade-offthatpeopleshouldkeepinmind-particularlyasartificialintelligenceand

othertoolsoffershortcutsforvariousformsofproblem-solving.Eachtimeweoffloadaproblemtoacalculatoror

askAltosummarizeanessay,weloseanopportunitytoimproveourownskillsandpracticedeepconcentration.To

beclear,technologiescanboostourefficiencyinimportantways,buttheseemingly“inefficient“hardworkwedo

canbepowerful,too.

9.Basedonthestudyresults,howdoMathmajorsprocesschallengingmathproblemsdifferentlyfromnon-Math

majors?

A.Theyexperiencelessengagementduringproblem-solvingtasks.

B.Theyusemoreareasoftheirprefrontalcortextosolveproblems.

C.Theydisplaydeltawaveactivitylinkingfrontalandparietalregions.

D.Theyshowsloweroverallbrainactivityduringcomplexproblem-solving.

10.Whatdoestheunderlinedword"trade-off'inthelastparagraphprobablyreferto?

A.Weighingshort-termefficiencyagainstlastingcognitivebenefits.

B.Choosingbetweenimmediateconvenienceandfasterresults.

C.Sacrificingtechnology5sadvantageforhumancompetition.

D.Decidingbetweenhumaneffortandadvancedtools.

11.Whichofthefollowingbestsummarizestheauthor'sviewontheroleof"inefficient"work?

A.Itallowsthebraintobuildskillsthataretransferabletoothertasks.

B.Itwastestimeandresourcescomparedtousingtechnology.

C.Itimprovesengagementbuthasnocognitivebenefits.

D.Ithelpsthosewhoaregoodatsubjectslikemath.

12.Whatisthebesttitleforthepassage?

A.WhichtoChoose:EfficiencyorHardWork?

B.WhatBenefitsUsMore:AIToolsorDeepConcentration?

C.EmployingComplexMathProblemstoEnhanceDeltaWaves

D.DevelopingExpertiseImprovestheBrain'sAbilitytoConcentrate

(2025北京海淀高三上期末)Asglobaltemperaturescontinuetoriseduetohuman-inducedclimatechange,

precisecomputerizedclimatemodelswillbecrucialinsheddinglightonhowourclimatewillevolveinthecoming

years.

AstudypublishedinJournalofGeophysicalResearch:AtmospheresbyChloeClarkandherteamfromUC

IrvinehighlightsasignificantissuewithacommonlyusedclimatemodelknownastheEnergyExascaleEarthSystem

Model(E3SM).TheresearchrevealsthatthismodelcurrentlyoverestimatesakeyphysicalpropertyofEarth?s

climatesystemcalledalbedo,whichisthedegreetowhichicereflectsplanet-warmingsunlightintospace.

Albedoisameasureofthereflectivityofasurface,expressedasthefractionofincomingsolarradiationthat

isreflectedbythatsurfacebackintospace.ItisacriticalfactorindeterminingEarth'sclimateandenergybalance.

Surfaceswithhighalbedo,suchassnowandice,reflectalargeportionofsolarenergy,whereasdarkersurfaceslike

forestsoroceansabsorbmoresolarenergy.

“Wefoundthatwitholdmodelversions,theiceistooreflectivebyaboutfivepercent,9,saidChloeClarke,

“Icereflectivitywasmuchtoohigh.^^

Theamountofsunlighttheplanetreceivesandreflectsisimportantforestimatinghowmuchtheplanetwill

warminthecomingyears.PreviousversionsofE3SMoverestimatedalbedobecausetheyfailedtoaccountfor

microphysicalpropertiesoficeinawarmingworld.Thesepropertiesincludetheeffectsthingslikealgae（藻類）and

dusthaveonalbedo.Darkcoloredalgaeanddustcanmakesnowandicelessreflectiveandlessabletoreflect

sunlight.

Todotheanalysis,ClarkeandherteamstudiedsatellitedatatotrackthealbedooftheGreenlandIceSheet.

TheyfoundE3SMoverestimatesthereflectivityoftheicesheet,meaningthemodelestimateslessmeltthanwhat

wouldbeexpectedfromtheicemicrophysicalproperties.Butwiththenewicereflectivityincorporatedintothe

model,theydiscoveredtheGreenlandIceSheetismeltingatarateofaboutsixgigatonsmorethaninoldermodel

versions.Thisisbasedonalbedomeasurementsthataremoreconsistentwithsatelliteobservations.

Clarkehopesherteam'sstudystressestheimportanceoftheseeminglyminusculepropertiesthatcanhavefar-

reachingconsequencesfortheoverallclimate.thinkourworkisgoingtohelpmodelsdoamuchbetterjobof

helpinguscapturesnowandice-relatedclimatefeedbacks,9,shesaid.

Next,Clarkewantstostudydifferenticypartsoftheplanettocalculatehowwidespreadthealbedodiscrepancy

（差異）isinE3sM."OurnextstepsaretogetitsothemodelisfunctionalgloballyandnotjustvalidoverGreenland,9,

saidClarke,whoalsointendstocomparethenewGreenlandIceSheetmeltratestoobservationstomeasurehow

muchmoreaccuratethenewicealbedois."ItwouldbeusefultoapplyittoglaciersinplacesliketheAndesand

Alaska.^^

13.Accordingtothepassage,albedo.

A.changeswiththelightnessofsurfaces

B.matchesupwiththeshapeoftheiceorsnow

C.isameasureofthesolarenergyarrivingatthesurface

D.varieswiththedirectionoftheincomingsolarradiation

14.Whatcanbelearnedfromthepassage?

A.Thenewmodelismorereliablethansatelliteobservations.

B.ThepreviousmodelversionsoverestimateGreenlandmelt.

C.Modeladaptationimprovestheaccuracyofclimatepredictions.

D.Scientistshaveusedthemodelgloballytoreducethediscrepancy.

15.Whatdoestheunderlinedword“minuscule“inParagraph7probablymean?

A.Tiny.B.Invisible.C.Plain.D.Stable.

16.Thelastparagraphiswrittento.

A.notethelimitationsofthefindingB.pointoutfurtherresearchdirections

C.illustratethebenefitsofanewapproachD.sumupthechangesmadeinE3SM

（2025北京豐臺(tái)高三上期末）OnMay4,2017,395migratory（遷徙的）birdsdiedaftercrashingintoatall

buildinginGalveston,Texas.Theirmigrationroutesarefullofdanger-includingbrightcitylights.Everyyear,

millionsofbirdsarethoughttobekilledinbuildingcollisionsintheUS.

ThesceneofthemasscollisioninGalvestonwasaskyscraperwhichhasfourcornerspotlightsandglowing

greenLEDlightsaroundthetop.Theinfluenceofartificiallightsinurbanspacesisawell-knownphenomenon

amongbirds,butisstillnotfullyunderstood.Birdstendtomigratebynight,andusethestarstonavigate.During

nocturnal（夜間的）migration,theyareoftenseengatheringaroundorcrashingintolit-upwindowsorgathering

aroundbeamsofprojectedlight.Theartificialglowofcitiesappearstoattractthemforstopovers.Oneexplanation

isthattheymaygenerallyflytowardslightsources,butalso,thattheartificiallightconfuses,trapsanddisorients

them.

Everytragedyisanopportunitytoeducate.Theaccidentpromptedbirdconservationorganisationstotake

actionandjointlydevelopascience-basedresponse.Severalcampaignsencouragedbuildingownersanddevelopers

toswitchoffnon-essentiallightingtohelptravellingbirds.SoonthefirstLightsOutforBirdsprogrammewasformed,

whichhasnowexpandedintothestatewide.Meanwhile,theCornellLabofOrnithologydevelopedawaytoforecast

birdmigrationduringspecifictimesandlocations,usingradar.TheresultingBirdCastmigrationforecastmapsare

freelyaccessible.Theirlivemigrationmapallowsanyonetocheckhowmanybirdsaremigratingnow,andwhere,

aswellashowmanyarepredictedtopassinthenearfuture.ForonenightinOctober,theyrecordeda“billionbird

night”,withthatnumberormorebirdspassinginasinglenight.

AndrewFarnsworth,amigrationecologistsaidthatearlydatacollectionsuggeststhatLightOutiseffective,

evenwiththelimiteddataanduncontrollablefactors.Moreover,Farnsworthpointsoutprotectingspeciesthatmove

presentsspecialchallengesforresearchersandconservationists.Migratingbirdscantravelthousandsofkilometres,

crossingandstoppinginmanydifferenthabitats,traversingborders,andflyingthroughcities——whicharecontinuing

togrowaroundtheworld.

Thereisnosinglesolutiontohelpingmigratingbirds.Instead,spreadingawareness,empathyandefficient

enforcementareallcrucialinkeepingbirdssafeandavoidingcollisions.t4Weneedtokeepourconnectiontonature

throughoureyes,ears,nose,whatevertoexperiencethecoreofallthisresearchandobservation.^^

17.Accordingtothepassage,whydothemigratingbirdshitthebuildings?

A.Theirroutesareblockedbytallbuildings.B.Theyattempttoavoidpotentialdangers.

C.Theyareaffectedbytheartificiallights.D.Theirmigrationpatternshavechanged.

18.Whatcanwelearnfromthepassage?

A.LightOutisthoughttobehelpfuldespitedatalimitations.

B.BirdCastneedsfurtherimprovementintrackingaccuracy.

C.LightOutcanguidemigratingbirdsawayfromartificiallights.

D.BirdCastcanpredictthenumberandspeciesofmigratingbirds.

19.Asforhelpingmigratingbirds,whichwouldtheauthoragreewith?

A.ItisworthwhiletoimproveLightOut.

B.Itisnecessarytomakeeffectiveregulations.

C.Itiscrucialtoworkoutaone-buttonsolution.

D.Itisessentialtointegratemultipleaspects9effort.

（2025北京石景山高三上期末）Physarumpolycephalum,asingle-celledslimemold（黏菌）,lacksabrain

andsurvivesonrottingvegetables,butitmayholdvaluableinsightsforcityplanning,accordingtotheresearchers

fromUniversityofToronto.Thisgreenish-yelloworganismformsacomplexnetworkthatcantransfernutrients

efficiently,whichresearchersbelievecouldmodelefficientnetworksformovingpeopleandgoodsinurbansettings.

“Humansaren'ttheonlyonesfacingthechallengeofdesigningefficient,toughnetworks,saysRaphaelKay,

amasterinengineering.tuTheslimemoldhasbeenshapedbyhundredsofmillionsofyearsofevolution（進(jìn)化），so

inthatsense,itisfarmoreexperiencedatnetworkdesignthanwehumansevercouldbe.”

Thisideaisn'tnew.In2010,JapaneseandU.K.researcherscreatedanutrientlayoutresemblingtheTokyo

subwaynodes（節(jié)點(diǎn)），andtheslimemoldgrewanetworksimilartotherealsystem.Thisexperimentsparked

biologicallyinspiredadaptivenetworkdesign,leadingtostudiesofrailandroadnetworksusingslimemolds.

Buildingonthis,KayandanarchitecturestudentAnthonydevelopedacomputermodelthatsimulates（模擬）

slimemolds'network-buildingprocess,aimedatarchitects,cityplanners,andotherprofessionals.Theirmodelallows

userstospecifyfactorslikemaximumcostorminimumtraveltime,generatingnetworksthatmeetthesecriteria.

Totestit,theyappliedthemodeltoCanada'sWonderlandamusementparkandToronto'ssubwaysystem.For

Wonderland,theirnetworkoffered10%fastertraveltimeatthesamecostastheexistingsetupandwas80%more

resilientatmaintainingfunctionalityifapartwasblocked.ForToronto9ssubway,theyfoundthatanetworkwiththe

sametraveltimeastherealonewas40%lesseasilyaffectedtodisruption.

WhileKayandhisteamaren'tsuggestingacompleteredesignofcurrentnetworks,theirmodeloffersinsights

forimprovements.Forinstance,itcouldpinpointthebestplacestoaddnodesorhelpinplanningfuturelayouts.The

modelcanalsoautonomouslygeneratenetworknodesbasedondatalikepopulationconcentration,adaptingtoserve

specificneeds.

Hatton,acollaborator,believesthistoolcouldbenefitdiversefields,notjustthoserelatedtothemovementof

peopleorgoods,butalsofieldslikegeneticengineeringandenergynetworks,highlightingtheimportanceof

interdisciplinaryapproaches.

20.Whatuniquefeatureoftheslimemoldinterestscityplanners?

A.Itsrelianceonnutrientstosurvive.

B.Itsabilitytoformefficientnetworks.

C.Itsnaturetogrowinrottingvegetables.

D.Itsadaptiveskillinanewenvironment.

21.WhydoestheauthormentiontheexperimentwithTokyo'ssubwaynodes?

A.TohighlightthattheTokyosubwaysystemisefficient.

B.Toshowthatslimemoldscanrecognizeurbanstructures.

C.ToarguethatTokyosubwaysystemneedstobeimproved.

D.Tosuggestthatslimemoldscaninspireunbannetworkdesign.

22.Whatdoestheunderlinedword"resilient“probablymeaninparagraph5?

A.Reliable.B.Relevant.C.Accurate.D.Advanced.

23.WhatcanwelearnfromKayandhisteam'smodel?

A.Itcanbeappliedbeyondtransportation.

B.Itcanpredictpopulationgrowthpatterns.

C.Itislimitedtonetworkswithsimplelayouts.

D.Itisrecommendedtoredesigncurrentnetworks.

（2025北京房山高三上期末）Today,wehaveaccesstomoreinformationthaneverbefore.Onlinevideo

platformsandsocialmediaappscanprovideuswithin-depthlearningopportunitiesforfree-fromprofessional

developmenttipstoartificialintelligencelessons.Inmorerecentyears,largelanguagemodelshaveshowntheycan

answeralmostanyquestionwithanincreasinglevelofaccuracy.

Withsomuchdataatourfingertips,moreandmorepeoplearebeginningtowonder:whyinvesttimeand

moneyinacollegedegreewhenIcangatherinformationandbuildskillsonline?

Theproblemwiththisquestion,however,isthatitmisunderstandsmostofthevalueofhighereducation.For

many,highereducationoffersmuchmore-atransformativejourneywherestudentscannetworkanddevelop

portablesoftskillslikecriticalthinking,communication,problem-solving,emotionalintelligence,andcreativity.

Acquiringthesecompetenciesoftenrequiresteamworkandrepetition.Theseareexperiencesthatcan'tbeeasily

copiedbywatchinganinfluencerorreadingAi-generatedtextthroughascreen.

Whileifstruethatacollegedegreeisnottheonlypathtosuccess,wecan'tignoretherealitythatmost

organizationsstillconsideritanindicatorofacandidate'sreadinessfbrtheworkforce.Inarecentsurveyof334

employersbytheNationalAssociationofCollegesandEmployers(NACE),respondentssaidnearly70%oftheir

entry-leveljobsrequireafour-yeardegree.Thisstatisticsuggeststhat——despitealternativeroutes——acollege

educationcangivealeg-uptojobcandidatesintoday'smarket.

Butanythingwithbenefitshassomeweaknesses.Wemustconsiderthat,acrosstheboard,collegecostisrising.

Formoststudents,acquiringadegreewillresultinmajordebt.Youshouldalsoconsiderwhetheryourcollegecourses

arekeepingupwiththetimes.Theeducationshouldideallybeup-to-dateandusefultoyouuponenteringthe

workforce.

Forthosewhobelievethesedownsidesareworththeupsidesacollegeeducationcanoffer,here'showto

maximizethebenefitsofhighereducation:

?Learnthelatestinnovationsthroughcourses.

?Buildastrongprofessionalnetwork.

?Takeadvantageofteamworkandproblem-solvingopportunities.

?Broadenyoureducationwithotherresources.

Thesefourstrategiescanhelpstudentsmaximizetheircollegeexperiencewhilealsostayinguptodatewith

thelatesttechnologicaltrends.Bybeingflexible,networkingactively,developingproblem-solvingskills,andseeking

learningopportunitiesintherealworld,studentscanpreparethemselvesnotjustfortheirfirstjobbutforadynamic

andsuccessfulcareer.

24.WhydoestheauthoraskthequestioninParagraph2?

A.Toencouragedoubtaboutonlinelearning.

B.Tostartthediscussiononcollegeeducation.

C.Toemphasizethesuperiorityofonlinelearning.

D.Tocompareonlinelearningwithcollegeeducation.

25.Whatdoestheunderlinedword"leg-up“inParagraph4probablymean?

A.AssistanceB.Virtue.C.Insight.D.Courage.

26.Itisimpliedinthispassagethat.

A.collegeeducationremainsvaluabledespitetheriseofonlinelearning

B.collegeeducationignoresstudents9developmentofportablesoftskills

C.studentscanlearnthelatestinnovationsthroughaprofessionalnetwork

D.studentscangetasuccessfulcareeraslongastheyhavecollegeexperience

（2025北京通州高三上期末）GenerativeAlIsLikelytoWorsentheE-WasteCrisis

Everytimegenerativeartificialintelligencedraftsane-mailorcreatesanimage,theplanetpaysforit.Making

twoimagescanconsumeasmuchenergyaschargingasmartphone,asingleexchangewithChatGPTcan