版權(quán)說(shuō)明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請(qǐng)進(jìn)行舉報(bào)或認(rèn)領(lǐng)
文檔簡(jiǎn)介
TheEffectofInteractioninWeb-basedCoursesonStudentOutcomesWangXiuwen南京航空航天大學(xué)外國(guó)語(yǔ)學(xué)院210016IntroductionProliferationofWeb-basedcoursesTheimportanceofinteractionStatementoftheproblem
TheinteractionthatoccursinWeb-basedcoursesismarkedlydifferentfromthatoccursinthetraditionalclassroomsetting.
Purposeofthestudy
1.MakeasystematicstudyoftheinteractioninWeb-basedcoursesanddescribeitsfunctions,modes,means,andetc.2.AbetterunderstandingoftheroleofinteractioninWeb-basedcoursessoastofacilitatethedevelopmentofonlineinstructiononcampus.
ResearchQuestion
WhatistheeffectofinteractioninWeb-basedcoursesonstudentoutcomeswhilestudentcharacteristicsareconsidered?ResearchVariablesSignificanceoftheStudy
1.Theconceptofinteractionisacentralcomponentinthebasicprinciplesfordevelopinganddeliveringgoodeducation.2.Proponentsofinteractioninonlinecoursesbelievethattheinteractionpieceisacoreelementtolearninginthevirtualclassroom.3.GiventhatevidencesupportsthecomparabilityoflearninginWeb-basedcourses,perhapsmoreimportantoutcomestoassessarestudents’satisfactionwiththeWeb-basedcourse,theirperceivedlearning,andmotivationintheWeb-basedcourse.
4.UnderstandingtheimpactofinteractiononstudentoutcomescanbeessentialinthedesignanddeliveryoffutureWeb-basedcourses.
Formulationofinteraction
inWeb-basedcourses
Definitionofinteraction
1.Theterms“interaction”and“interactivityareusedinterchangeablyinthisstudyasGilbertandMoore(1998)do.2.Twodominantwaysofdefininginteraction:human-humaninteractionandhuman-messageinteraction.3.AnacceptanceofWagner’s(1994:8)definition:
...reciprocaleventsthatrequireatleasttwoobjectsandtwoactions.Interactionsoccurwhentheseobjectsandeventsmutuallyinfluenceoneanother.Interactionwithinthecurrentstudy
TheoreticalframeworkAlearner-centeredsocialconstructivismapproach
1.Learner-centeredprinciples2.Situatedlearning3.Collaborativelearning4.Situatedandcollaborativelearninginonlineeducation
ResearchmethodologyAdescriptivecorrelateddesignTheresearchisbasicallydescriptive.Descriptiveresearchdrawselementsfrombothquantitativeandqualitativemethodologies.Itincludescollectingdatathroughinterviewsandsurveymethodsinordertodeterminethewaythingsareortodescribe‘whatis’(Gall,Borg&Gall,1996).
Theaimofcorrelatedstudiesistodescribetherelationshipamongvariablesinthestudy(Polit&Hungler,1999).
Selectionofparticipants
288studentsrecruitedfromtheWeb-basedEnglishprogramforundergraduatestudentsofferedbytheSchoolofForeignLanguagesatShanghaiJiaotongUniversityhastakenpartinthestudy.InstrumentationSurveymethod
Commontechniquesusedforgatheringdataineducationincludesurveysastheyarea“meansofgatheringinformationthatdescribesthenatureandextentofaspecifiedsetofdatarangingfromphysicalcountsandfrequenciestoattitudesandopinions”(Issac&Michael,1995:128)
Casestudies
Themeritofacasestudyapproachistoenableresearcherstoconcentrateonaspecificinstanceorsituationandtocarryoutanintensivestudyonfewentitiesinordertograspthecomplexanddynamicissuesinaparticularonlineeducationsetting(Bell,1993).
Contentanalysis
Theuniquenatureofcomputer-mediatedcommunication(CMC)createstheopportunityofusingcontentanalysisasanotherpopularmethodofinquiryrelatedtoonlinelearningactivitiesandbehaviors.
SurveyinstrumentTheNHCE(NewHorizonCollegeEnglish)ElectronicLearningEnvironment
Survey
Thesurveyinstrumentusedinthisstudyisinspiredbytherelevantliteratureanddevelopedbytheresearcher.
DatacollectionThequestionnaireisthesurveymethodforgatheringdatatomatchresearchobjectives.Datastoredintheonlinelearningsystem:logonstatisticsandpostingsonthediscussionforum.InformalinterviewswiththestudentsandinstructorsintheWeb-basedcourse
DataanalysisQuantitativedataanalysis
MainlyPearsonproductmomentcorrelations,andhierarchicalregressionanalysis.
Pearsonproductmomentcorrelationsareconductedtoinvestigatetherelationshipbetweeninteractionandstudentoutcomes,aswellasstudentcharacteristicswiththem.
Hierarchicalregressionanalysisconsistsofmultipleregressionusingablockmethod.
QualitativeDataAnalysis
AccordingtoRossmanandRallis(1998),aftergatheringqualitativedata,theresearchershouldgeneratecategories,identifythemes,andlookforrecurringpatternsamongtheresponsestotheopen-formitems.Inaddition,interpretationandtabulationoftheopen-formitemsandsummaryshouldbeincludedintheresearchreport.
Structuralandcontentanalysis
1.Structuralanalysisreferstotheuseofstatisticalmethodstotraceandpresentonlinecommunicationactivities.Normally,theunitofanalysisforstructuralanalysisisthemessage.2.Contentanalysisconcentratesonthemeaningofmessagesinsteadofotheraspectsofmessagesthemselves.Results
QuantitativeanalysisSatisfactionanalysisBivariateCorrelationsforSatisfaction
RegressionAnalysisforSatisfaction
RegressionCoefficientsforSatisfaction
ParsimoniousModelSummaryforSatisfaction
PerceivedlearninganalysisThebivariatecorrelationsrangefrom(computerskills)to(communication).Allpredictorsexceptone(computerskills)havebivariatecorrelations.Consequently,computerskillsaredeletedfromsubsequentregressionanalysis.Inthehierarchical,multipleregressionanalysis,thethreestudentcharacteristicsvariables(gender,averagetimespentonthecourseperweek,andreasonsfortakingthecourse)accountfor3%ofthevariancewhichisnotstatisticallysignificant.Inthehierarchical,multipleregressionanalysis,theinteractionvariables(learnercontrol,feedback,andcommunication)accountfor37%ofvariance,whichisstatisticallysignificant.Theresultsofamoreparsimoniousmodel
usingonly
communication,feedback,andlearnercontrolareverysimilartothoseobtainedfromthe6predictors.
Motivationanalysis
Thebivariatecorrelationsrangefrom
(computerskills)to(communication).Allpredictorsexceptone(computerskills)havebivariatecorrelations.Consequently,computerskillsaredeletedfromsubsequentregressionanalysis.Inthehierarchical,multipleregressionanalysis,thethreestudentcharacteristicsvariables(gender,averagetimespentonthecourseperweek,andreasonsfortakingthecourse)accountfor6%ofthevariance,whichisstatisticallysignificant.Inthehierarchical,multipleregressionanalysis,theinteractionvariables(learnercontrol,feedback,andcommunication)accountfor33%ofvariance,whichisstatisticallysignificant.Theresultsofamoreparsimoniousmodel
usingonly
communication,feedback,andlearnercontrolareverysimilartothoseobtainedfromthe6predictors.
Summaryofquantitativefindingsforstudentoutcomes
Inthesatisfactionanalysisandperceivedlearninganalysis,theimportantpredictorsareallinteractionvariables,however,inthemotivationanalysis,theimportantpredictorsincludebothinteractionvariablesandstudentcharacteristicsvariables.Theinteractionvariables(learner-control,feedback,andcommunication)playamoresignificantrolethanstudentcharacteristicsinpredictingstudentoutcomesofsatisfaction,perceivedlearning,andmotivation.
Socialinteraction(learner-instructorinteractionandlearner-learnerinteraction)seemstobeabetterpredictorthaninstructionalinteraction(learner-contentinteraction).
Teachers’roleisconsideredvitalintheinteractionprocessandpromptfeedbackisvalued
StructuralandcontentanalysisStructuralanalysisisineffectthemessagedistributionanalysisinthecurrentstudy.Theconceptofrule-basedsystemsservethepurposeofguidingthecontentanalysisononlinemessages.Threesetsofrulesapply:substantive,message,andcontrol(Liebenau&Backhouse,1990).SummaryoffindingsforstructuralandcontentanalysisAtthebeginningofthediscussionactivities,studentsneedtheirinstructors’guidance.Teachersplayanimportantroleinincreasingstudents’participationinvariousdiscussiontasks.Studentsaccountforalargeproportionofpostingsdistribution.Themajorityofmessagesaresubstantive,i.e.discussionontheprimetasksinitiatedbytheinstructororotherstudents.Thismeansthatstudentsreallyusetheonlinediscussionforumtoenhancetheirunderstandingofthelecturesandtofacilitatetheirlearning.QualitativeanalysisContentforanalysis:
1.Sixopen-endedquestionsareincludedintheThirdPartofthesurvey,whichattempttocapturethelearners’perceivedvalueoftheroleofinteractioninhelpingtounderstandthecourseandalsoadditionalcontributionsastotheiroverallinteractionexperiences.2.InformalinterviewswiththeinstructorsandstudentsintheWeb-basedcourse.Examplesofsomeofthecommentsindicatingpositiveeffectofonlinegroupdiscussionsinclude:“Icanlearnfromwhatmyclassmatessayandgetall-roundclues,henceobtainingmultipleandthoroughinformation.”“Myclassmates’viewpointsvaryaccordingly,whichcanbroadenmyknowledgeandelicitmyunderstanding.”“Unconsciously,I’mmoreskilledatusingEnglish.”“Thediscussionaboutcloneplayedanimportantroleinhelpingmesummarizethetext’smainidea.”“Veryhelpfulinimprovingmyspeakingandwritingability.”
Anumberofstudentsdescribehowthesystemhelpstheirprocessofknowledgedevelopmentduringtheinformalinterviews.
“ThegreatestbenefitIgotfromtheonlinelearningenvironmentwasthewidevarietyofschoolsofthoughtsthatIcanreadanddiscuss.Theonlineformallowsmetohavesufficienttimetothink,toreflect,andtoputmywell-organizedarguments.”“Theonlinelearningsystemhasbeenveryhelpfulinincreasingmyu
溫馨提示
- 1. 本站所有資源如無(wú)特殊說(shuō)明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請(qǐng)下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請(qǐng)聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁(yè)內(nèi)容里面會(huì)有圖紙預(yù)覽,若沒(méi)有圖紙預(yù)覽就沒(méi)有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫(kù)網(wǎng)僅提供信息存儲(chǔ)空間,僅對(duì)用戶上傳內(nèi)容的表現(xiàn)方式做保護(hù)處理,對(duì)用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對(duì)任何下載內(nèi)容負(fù)責(zé)。
- 6. 下載文件中如有侵權(quán)或不適當(dāng)內(nèi)容,請(qǐng)與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準(zhǔn)確性、安全性和完整性, 同時(shí)也不承擔(dān)用戶因使用這些下載資源對(duì)自己和他人造成任何形式的傷害或損失。
最新文檔
- 2026年春季學(xué)期小學(xué)數(shù)學(xué)教學(xué)成效總結(jié)
- AI編程語(yǔ)言排行榜
- 電商專業(yè)就業(yè)前景分析
- 工廠安全宣教
- 標(biāo)本員安全實(shí)操測(cè)試考核試卷含答案
- 西式糕點(diǎn)師崗前趨勢(shì)考核試卷含答案
- 火柴制造工崗前保密意識(shí)考核試卷含答案
- 工業(yè)爐及電爐電氣控制裝調(diào)工崗位突發(fā)事件應(yīng)對(duì)考核試卷含答案
- 婦幼保健員崗前離崗考核試卷含答案
- 灌區(qū)管理工規(guī)章制度水平考核試卷含答案
- 2026年聯(lián)通考試試題及答案
- 2026年藥食同源食品與新食品原料(新資源食品)食用量標(biāo)準(zhǔn)大全
- 衍生金融工具(高教)第十三章 衍生工具的運(yùn)用和發(fā)展
- 大疆創(chuàng)新人力資源管理實(shí)踐完全指南
- 2026年河南省網(wǎng)格員招聘考試參考試題及答案解析
- 2026年城鄉(xiāng)規(guī)劃設(shè)計(jì)院招聘試題(含答案)
- 職工技師工作站工作制度
- AI人工智能在物理教學(xué)實(shí)踐中的應(yīng)用
- 高教社2023馬工程國(guó)際私法學(xué)
- 間質(zhì)性肺病教學(xué)課件
- 帶貨主播規(guī)范管理制度
評(píng)論
0/150
提交評(píng)論