Effects of Text, Illustration, and Simulation in a.pdf
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SessionM2DWorkinProgress:EffectsofText,Illustration,andSimulationinaDigitalSignalProcessingCourse:AnExperimentalStudyWei-FanChen1,andWen-HsiungWu2Abstract-DigitalFilterDesigninelectronics/electricalSeveralstudiesinthepastattemptedtousesoftwaretoengineeringinvolvescomplicatedmathematicalequationssimulatedigitalfilterdesignconcepts.Forexample,Stouraitisanddynamicwaveformvariations.Itisaconsensusamong&Taylor[3]developedasoftwarepackagecalledDF-PAKeducatorsthatusingsimulationtoolshelpsimproveforduallevelcourseslikedigitalfilterdesign;Turneretal.[4]students’learningexperience.However,veryfewstudiespresentedasoftware,namely”DIGICAP”,whichallowsedprovidedscientificevidencetosupportthisnotion.InadesignerstoevaluatethestructuresandimplementationeffectDigitalSignalProcessing(DSP)course,studentsreceivedofdifferentdigitalfilters;Nielinger[5]simulatedthedigitalthreedifferenttypesofinstructionalmessages(onlinetext(IIR)filterbiquadsectionusingPSPICE.Thosestudiesaimedonly,textplusstaticillustrations,andtextplustohelplearnersbetterunderstandtheconceptsrequiredinthesimulations).Anexperimentalstudywasdesignedtodigitalfilterdesigncoursewiththeaidofasimulationsystem.investigatepotentialmaineffectsoftheindependentHowever,theytendedtocreatesimulationsforcertainvariables:instructionalmessageonstudents’post-testparticularconcepts,notforthecourseasawhole,whichmayscores.MultivariateAnalysisofVariance(MANOVA)wasignoreseveralimportantconcepts,suchasthefundamentalsofperformedtoanalyzecollecteddata.Resultsfrom132digitalsignalprocessing,theoryandarchitectureofdigitalstudentsshowedsignificantdifferencesamongstudentsinfilter,anddesignofdigitalfilter.Aseducationaltechnologyapost-testlearningachievement(F(2,130)=13.590,p<.05).evolvesrapidly,fewpriorstudiesemphasizedthedesignofAfollow-uptestindicatedthatstudentswhousedainteractivelearningenvironmentbyusinganevolutionarysimulationtoolperformedsignificantbetterscoresontheirapproachandnewtechnologies.Inaddition,previousstudieslea