简介:Atfirst,Iwanttosaysomethingaboutmyself.MynameisWangWuxian.I'mamiddleschoolstudent.Ourschoolisverynewandbeautiful.Ourclassisthebestofall.OurEnglishteacherisverygood.SheisverykindandshealwayshelpsustostudyEnglish.Weloveherverymuch.ButhereI'lltellyoumyanotherEnglishteacher.Shehasnomouth,butshecanteachme.Doyouknowwhosheis?Letmetellyou:Sheis“GuideofLearningEnglish”.
简介:一个新歧管的学习方法,叫的增长排列方法(IAM),与内在的低维数为高维的数据的非线性的维数减小被建议。主要想法是逐渐地排列输入数据patch-by-patch的低维的坐标反复地产生全部数据集的表示。方法由二主要的步,增长的步和排列步组成。增长的步逐渐地寻找邻居补丁在下一步被排列,并且排列步反复地排列寻找产生全部数据集的embeddings的邻居补丁的低维的坐标。与存在相比歧管的学习方法,建议方法在几统治方面:高效率,容易的out-of-sample扩展,很好公制保存,并且本地最小问题避免。所有这些性质被在合成、真实的数据集上执行的一系列实验支持。另外,建议方法的计算复杂性被分析,并且它的效率理论上被说服并且试验性地示威了。
简介:Thepurposeofthisstudywastounderstandtheeffectofimplementingmultipleintelligence(MI)-basedinstructiononthesciencelearningmotivationandlearningachievementof7thgradejuniorhighstudents.Thisquasi-experimentalresearchstudyutilizedquestionnairesandtestsofsciencelearningmotivationandlearningachievement,andexaminedcollecteddatathroughuseofthestatisticalpackageforthesocialsciences(SPSS).Ananalysisofcovariance(ANCOVA)andat-testwereperformedinordertoexplorethedifferencesbetweenthesciencelearningmotivationsandlearningachievementsoftheexperimentalgroup(N=39),whoweresubjectedtoteachingbasedonMItheory,andthecontrolgroup(N=36),whoweresubjectedtotraditionallectures.Theresultsofthestudyshowthat,afterimplementingMI-basedinstruction,thestudentsintheexperimentalgroupsignificantlyoutperformedthoseinthecontrolgroupintermsofsciencelearningmotivation,sciencelearningvalue,andactivelearningstrategies,whilethestudentswithlowlearningachievementshowinganimprovementintheirlearningattitudethatallowedthemtodevelopapositivelearningattitudetowardbiologyclassesandraisedtheirclassparticipationandpreferenceforbiologyclasses.
简介:Thearticleexaminestheworldexperienceofe-learningaswellasdistanceeducationtechnologieswithintheeducationprocessorganizationonhigherandpost-highereducationprograms.Therehavebeenlistedtheresultsofthemostpopulare-leamingplatformsanalysis.Furthermore,therehavebeenlookedthroughthecorelegislativebackgroundofthedevelopmentofthementionedtechnologiesinRussiaandworldwideamongtheuniversities,specializedinseafarerstraining.TherehavebeenalsodrawnupthepointsoftheAdmiralMakarovStateUniversityofMaritimeandInlandShipping(AdmiralMakarovSUMIS)designofthedistanceeducationsystemLMS“FARWATER”incompliancewiththeInternationalConventiononStandardsofTraining,CertificationandWatchkeepingforSeafarers(STCWConvention).Thepracticalapplicationofdistanceeducationsystemtotheadvancedprofessionaltraininghasbeendiscussedinthearticle.
简介:IntroductionTheproliferationofapproachesandmethodsisaprominentcharacteristicofcontemporaryESLorEFLteaching.FromtheGrammarTranslationMethod,theDirectMethod,SituationalLanguageTeaching,theAudiolingualMethodtoCommunicativeLanguageTeaching,TotalPhysicalResponse,theSilentWay,CommunityLanguageLearning,theNaturalApproachandSuggestopedia,thediscussionhaslastedformorethanacentury.However,thewidevarietyofmethodorapproachoptionsconfusesratherthancomforts,becausetheyseemtoholdverydifferentviewsofwhatlanguageisandhowalanguageislearned(Richards&Rodgers,1991).Thisconfusingsituationismainlycausedbythemythofthehu-
简介:Inthispaper,weproposetwoweightedlearningmethodsfortheconstructionofsinglehiddenlayerfeedforwardneuralnetworks.Bothmethodsincorporateweightedleastsquares.Ourideaistoallowthetraininginstancesnearertothequerytoofferbiggercontributionstotheestimatedoutput.Byminimizingtheweightedmeansquareerrorfunction,optimalnetworkscanbeobtained.Theresultsofanumberofexperimentsdemonstratetheeffectivenessofourproposedmethods.