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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. 1 “Spend another day in our class talking about this research please”: Student insights from a research- based design thinking exercise Atman Cynthia J. a , Arif Ahmer a , Shroyer Kathryn E. a , Turns Jennifer A. a , Borgford-Parnell Jim a a University of Washington *Corresponding author e-mail: {atman, ahmer, kshroyer, jturns, bparnell}@uw.edu Abstract: This paper explores how guided discovery can be used to connect insights from the ever-growing body of research on design processes with design teaching. This paper focuses on a specific instance of a guided discovery activity in which engineering students were invited to engage with selected timelines from a study of designer processes; guidance included prompts at two points in time. The goal was to see if the students could discover meaningful insights about the design process and what features of design processes contribute to quality solutions. The students in this study succeeded in discovering six meaningful insights about the design process. The distribution of students’ insights was not the same at the two time- points, suggesting that the guidance is important in what students discovered. Our findings speak to the value of the specific guided discovery activity that we studied, and the overall idea of developing activities using guided discovery. Keywords: design pedagogy; guided discovery; design representations; designexpertise 1. Introduction An ever-growing body of research documents insights into features of design processes that contribute to successful design outcomes. In their synthesis paper “Engineering Design Thinking, Teaching, and Learning,” Dym and his colleagues (2005) have called attention to divergent-convergent questioning, thinking in systems terms, and decision making as important aspects of successful design processes. In another example, two of the authors and their colleagues have investigated how the amount of time spent gathering information and the frequency of transitions across design activities contribute to successful design processes (Atman et al., 1999; Atman et al, 2007). Still further, an examination of any issue

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Page 1: “Spend another day in our class talking about this ...ahmerarif.com/papers/452.pdf · “Spend another day in our class please”: Student insights from a research-based design

ThisworkislicensedunderaCreativeCommonsAttribution-NonCommercial4.0InternationalLicense.

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“Spendanotherdayinourclasstalkingaboutthisresearchplease”:Studentinsightsfromaresearch-baseddesignthinkingexercise

AtmanCynthiaJ.a,ArifAhmera,ShroyerKathrynE.a,TurnsJenniferA.a,Borgford-ParnellJimaaUniversityofWashington*Correspondingauthore-mail:{atman,ahmer,kshroyer,jturns,bparnell}@uw.edu

Abstract:Thispaperexploreshowguideddiscoverycanbeusedtoconnectinsightsfrom the ever-growingbodyof researchondesignprocesseswithdesign teaching.This paper focuses on a specific instance of a guided discovery activity in whichengineeringstudentswereinvitedtoengagewithselectedtimelinesfromastudyofdesignerprocesses;guidanceincludedpromptsattwopointsintime.Thegoalwasto see if the students could discovermeaningful insights about the design processandwhatfeaturesofdesignprocessescontributetoqualitysolutions.Thestudentsin this study succeeded in discovering six meaningful insights about the designprocess. The distribution of students’ insightswas not the same at the two time-points,suggestingthattheguidance is important inwhatstudentsdiscovered. Ourfindingsspeaktothevalueofthespecificguideddiscoveryactivitythatwestudied,andtheoverallideaofdevelopingactivitiesusingguideddiscovery.

Keywords:designpedagogy;guideddiscovery;designrepresentations;designexpertise

1.IntroductionAnever-growingbodyofresearchdocumentsinsightsintofeaturesofdesignprocessesthatcontributetosuccessfuldesignoutcomes.Intheirsynthesispaper“EngineeringDesignThinking,Teaching,andLearning,”Dymandhiscolleagues(2005)havecalledattentiontodivergent-convergentquestioning,thinkinginsystemsterms,anddecisionmakingasimportantaspectsofsuccessfuldesignprocesses.Inanotherexample,twooftheauthorsandtheircolleagueshaveinvestigatedhowtheamountoftimespentgatheringinformationandthefrequencyoftransitionsacrossdesignactivitiescontributetosuccessfuldesignprocesses(Atmanetal.,1999;Atmanetal,2007).Stillfurther,anexaminationofanyissue

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inDesignStudiesinevitablyuncoversadditionalresearch-basedconsiderationsabouthowfeaturesofthedesignprocesscontributetosuccessfuldesignoutcomes.

Thispaperisconcernedwithhowsuchfindingscanbeleveragedtoinformdesignteaching.Onegeneralpathwaycouldbeembeddingthefindingsintheenvironment.Forexample,oneapproachwouldbetoprescribeadesignprocessthatdirectsstudentdesigners’attentiontowardstheveryactivitiesthathavebeenshowntobeimportantinthebodyofresearchondesignthinking.Anillustrationofthiscouldbeastudentdesignerbeinggivenasystemthathelpswitheffectivequestioning.Arelatedapproachwouldbetocreateresources,suchasvirtualagents,thatcouldremindadesignerwhentheyaredeviatingfromsuchdesirableapproachesinordertohelpthedesignergetbackontrack.Withthecurrentfocusonproblem-basedlearningandprojectworkforteachingdesign,theembedthefindingsintheenvironmentapproachmayseemfamiliar.Forinstance,muchoftheconversationaroundgettingprojectbasedlearningrightinvolvesnavigatingquestionsofhowtostructureanenvironmentsostudentssucceed.

Incontrast,anotherpathway(exploredinthispaper)involvesembeddingthefindingsintothedesigner’smentalmodelofthedesignprocess.Inotherwords,inthispathway,theideaistohelpthestudentdesignerunderstandresearch-basedfindingsaboutdesignthinkingsothatthefindingsarelateravailablewhentheyengageinmetacognitive-leveleffortssuchasplanningofdesign,reflectioninaction,andexecutivecontrol.Suchmetacognitive-leveleffortrelatestodesigners’abilitiesto“usedesignstrategieseffectively”—keyperformancedimensionsidentifiedintheextensiveliteraturereviewbyCrismondandAdams(2012,p.745).Withthispathway,ageneralquestionishowtohelpthestudentdesignercometounderstandandappreciatethesefindings.Astraightforwardstrategytoachievethisobjectivewouldbetopresentresearchfindingstostudentsoraskthemtoreadresearcharticles.However,thisstrategyisnotoftenreportedtobesuccessful.

Inthispaper,weexploreanalternativemethodofembeddingthefindingsintothedesignerthroughaformofguideddiscoverylearning.Discoverylearningisaninductivelearningapproachinwhichstudentsreceiveaproblemtosolvewithlittleornoguidancefromtheteacher.Guideddiscoveryisatypeofdiscoverylearninginwhichthestudentreceivesaproblemtosolvebuttheinstructoralsoprovidesfocus,coaching,feedback,andothersuchguidancetodirectthestudents(Mayer,2004).Guideddiscoveryattemptstoremediatethechallengesthathavearisenthroughcompletelyopendiscoverylearning(seeAlfierietal.,2011;Bruner,1961;DeanandKuhn,2007Kirschneretal.,2006;andMayer,2004)

Inthisguideddiscoveryactivity,studentsinteractwithresearch-basedvisualrepresentationsoffirst-year(freshmen)andgraduating(senior)studentdesignprocessestoseeiftheycandeveloppersonalinsightsaboutdesignthataresimilartofindingsdiscoveredbytheresearchers.Weprovideaworkedexampleforoneoftheconferencethemes,specificallyusingdesignresearchasanactiveforcethatallowsdesignstudentstorethinktheirideasaboutdesign.

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Pragmatically,ourapproachdoesnotrequireachangingofprojectstructuresasanembedthefindingintheenvironmentapproachmight.Sinceprojectsarehardtostructure,itcanbechallengingtorestructuretheenvironment.Ourapproachprovidesstudentdesignerswiththeopportunitytodirectlyexploreresearchfindingssothattheycanlearnaboutimportantaspectsofdesignprocesses;aspectsthatmaycometopositivelyinfluencetheirownfuturedesignactivities.Giventhepotentialbenefitofsuchaneducationalactivity,wesetouttoanswerseveralquestions:

• Willstudentsdiscoveranyinsightsaboutdesign?Whatinsightsaboutdesignwilltheydiscover?

• Howcanwecharacterizethetypeofguidanceprovidedtothestudents?Whatwillbetheeffectoftheguidance?

• Whatwillbestudent’sreactionstotheirdiscoveriesandtotheexperienceofbeingaskedtodiscover?

Inthispaperweexplorethesequestionsthroughtheinstantiationof,andexperimentationwith,aguideddiscoveryactivity.Thepaperrepresentsanempiricalproof-of-concept,showcasingwhatsuchanactivitymightlooklikeandgatheringevidencethatdemonstratesthatsuchanactivitysuccessfullyhelpsstudentslearnaboutdesign.

Therestofthepaperproceedsasfollows.Firstwedescribeourspecificinstanceofguideddiscoveryofdesignprocesses.Thecontributionofthepaperisastudyoftheguideddiscoveryactivityinaction—themethodsandfindingsoccupythebulkofthepaper.Intheconclusionwediscussthesignificanceofthework.

2.TheResearch-BasedGuidedDiscoveryActivityResearchhasdemonstratedthatengineerswithdifferentlevelsofexperience(first-yearstudents,graduatingstudents,expertpractitioners)exhibitdifferentpatternsofdesignactivitieswhentheysolveadesignproblem(Atmanetal.,2007).Thesedifferencesaremadevisuallyapparentwhentheyaredisplayedastimelinesthatindicatethetimespentindifferentdesignactivitiesandthenumberoftransitionsamongdesignactivities.Timelinesfromsixengineeringstudents,threefirst-yearstudentsandthreegraduatingstudentsformthebasisoftheguideddiscoveryactivity(seeFigure1).

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Figure1–Timelineactivityhandout.Timelinesrepresenttypicallow-performing,average-performing,andhigh-performingfreshmanandseniorengineeringstudents.

Thestepstotheactivityareasfollows(totaltimeis50to60minutes):

1. Aneducatorgivesabriefpresentationaboutthedevelopmentofthedesignprocesstimelinesusedinthetask(10minutes).

2. Studentsareeachgivenaworksheet(thetimelineactivityhandout)withquestionsonbothsides(Figure2).StudentsaregivenfiveminutestoindividuallyanalysethetimelinesandrespondtoPrompt1onthefrontofthesheet(Figure1).

3. Studentsthendiscusstheirresponseswiththeirprojectteams(10minutes).

4. Theeducatorthenleadsadiscussionwiththefullclassaboutstudentinsights.Additionalresearchfindingsarepresented,includingresultsfromasampleofexpertengineeringpractitioners,andthestatisticallysignificantresultsfromthecomparisonacrossthethreegroups(20to25minutes).

5. Studentsthenturnthepageoverandtake5to10minutestorespondtoPrompts2and3(seeFigure2foranexamplescanandtranscribedanswerfromastudentparticipantfromtheclassdiscussedinthispaper).

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Figure2–ActivityworksheetandStudent22’sResponse

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ThePromptsareasfollows:

Prompt1:ACTIVITY:Inthedesignprocesstimelinesshownabove,whatsimilaritiesanddifferencesdoyouseebetweenthefreshmenandseniorengineeringstudents?Dothesesimilaritiesalsoinvolvethequalityscores?Howso?

Prompt2:REFLECTIONACTIVITY:Whatwasthemostimportantthingyoulearnedtoday?Why?

Prompt3:REFLECTIONACTIVITY:Howcanweimprovethistalkforfutureaudiences?

Inthecaseofthisactivity,guideddiscoverylearningwasimplementedinsteadofpurediscoverylearningtoincreasethelikelihoodthatstudentswithlimiteddesignexperiencewouldbeabletouncoverinsightsinashortperiodoftime.Theamountofdata,representationofdata,andguidingquestionswerespecificallyscopedtodirectstudentsthroughtheactivitywhilestillallowingforautonomytodiscovertrends.Forexample,insteadofpresentingstudentswithalargeamountofrawdata,sixspecificdesignprocesseswerevisuallyrepresentedintheformoftimelines.

Ratherthansimplylisteningtoalectureorbeingprovidedwithageneralizeddesignprocessdiagram,studentswerepurposefullyguidedtoinductivelyuncovertrendsfromdesignprocessdata.ByexploringthetimelinesindependentlypriortorespondingtoPrompt1andsubsequentlywiththeirteammates,studentsdeveloprelevantinsightsintodesignprocesses.Followingthis,theeducatorthenfacilitatesadiscussionwiththefullclassandcomparesthestudentinsightstoresearchfindings.Students’finalperspectivesonimportantlessonsarethensolicitedwithPrompts2and3.Inotherinstanceswheretheauthorshavepresentedthisexercise,audiences(students,educatorsandpractitioners)haveidentifiedthestatisticallysignificantdifferencesacrossthetwostudentgroupsinthetimelinesjustfromthisguideddiscoverytask.Audiencememberobservationsarereinforcedwhentheylearnabouttheexperimentalresults,increasingbothconfidenceandexcitementwiththeirdiscovery.

Student22’sresponse,whichispresentedinFigure2,demonstratesboththebreadthanddepthofinsightsthatstudentscangainwiththisexercise.

3.Methods

3.1ParticipantsTwenty-fourmechanicalengineeringstudentsinathird-yearIntroductiontoDesigncourseatalargeresearchuniversityparticipatedinthisclassroomactivityinthespringof2015.

3.2CodeBookTheresponsesfromthetwenty-fourstudentswereanalysedbasedontheirwrittenresponsestoPrompts1and2.TheresponsestoPrompt3werenotincludedinthisanalysis(thepurposeofPrompt3istosolicitinputaboutteachingactivityratherthanstudent

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learningaboutthedesignprocess).Theresponsestothefirsttwopromptswerecodedforpresenceorabsenceoftendesigninsightsineachresponse.Theseinsightswerebasedonninecodesusedinapreviousanalysisofthisactivity(Borgford-Parnell,2010).Anadditionalcode(Time)wasaddedandseveralcodeswereclarifiedresultinginafinalsetoftencodes.

Inourfindingsfromthisdataset,onlysixofthetencodeswereprevalent(Breadth,ProblemDefinition,GatheringInformation,Modelling,Iteration,andTime).Inthispaper,wethereforefocusonthosesixcodes.

CodeBook

Name Definition Examples–Prompt1 Examples–Prompt2

BreadthBreadth(accomplishingmoreofthedesignprocess)correlateswithhigherqualitydesign

“Highqualityscoreswerevariedinthedesignprocess,withallstepsprevalentthroughoutthetimeline”-17

“Toproduceagooddesignyoumustsplityourtimemoreevenlybetweenthedifferentstages.”-11

ProblemDefinition

Moretimespentonproblemdefinitionactivitycorrelateswithhigherqualitydesign

“Betterscoresreturnedtotheproblemdefinitionthroughouttheprocess…”-2

“Alwaysgobacktotheproblemandaskyourselfifyouarereallysolvingit.”-11

GatheringInformation

Moretimespentongatheringinformationactivityequatestohigherqualitydesign

“Somethingthatseemedtopromotehighqualityworkwastocontinuetokeepgatheringinformationandgeneratingideasthroughoutthewholeprocess.”-12

“Lastlyitisimportanttocontinuetoaskquestions&gatherinformationthroughouttheprocess.”-23

Modeling Everyonespendsthemosttimeinmodelingactivity

“Modelingtookupthemajorityofthetimeformostpeople.”-3

“…thoughevenexpertsspendthemosttime/effortintomodeling.”-16

IterationIterationand/ortransitionscorrelatewithhigherqualitydesign

“Thehighqualitydesignsbouncedaroundalot…”-19

“Thedesignprocessismosteffectivewhenundertakenasanonlinear,cyclicalprocess.Thedifferentactivitiesor‘phases’ofthedesignprocessshouldbeintegratedandrevisitedthroughoutdesigning.”-6

TimeTotaltimespentonthedesignprocesscorrelatestohigherqualitydesign

“Studentsthatspentlesstimehavelowerqualityscore.”-10

“I[learned]thatputtinginenoughtimeisvaluableuptoacertainpoint…”-15

Figure3-Descriptionsandexamplesofthesixcodes

3.3CodingProcessThecodingprocesswascarriedoutbytwotrainedresearchersthatindependentlyassigneddesigninsightcodesatthesentenceorsentencegrouplevelsforeachofthe24setsofstudentresponses.Sincewecodedresponsestotwoquestionpromptsforeachstudent,theactualnumberofresponsesthatwereanalysedwas48.Thiscodingprocessinitiallybeganusingtheaprioricategoriesthatweredevelopedusingabottom-upapproachinapreviousstudythatisextendedbythisresearch(Borgford-Parnell,2010).Theresearcherstrainedonaseparatesetofstudentresponses.Oncefinished,thetworesearcherscomparedresults,arbitratedanydiscrepanciesonthistrainingsettoagreement.Minorrefinementsweremadetotwoofthecodedefinitionsanda10thcode(Time)wasadded.

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Aftertrainingwascomplete,theresearchersreplicatedthisprocessontheforty-eightstudentresponsesusedinthisstudy.Afterthisfirstiteration,theresearchersleveragedtheiremerginginsightstomakeminorrefinementstofourofthesecodesforthesakeofspecificityandinclusiveness.Additionally,theresearchersnoticedpatternsofdifferencesinthelevelofstudents’engagementandinsightsbeingdemonstratedwithinthetexts.Opportunistically,theresearchersbeganlookingforthosepatternsandannotatingforstatementsthatseemedtogobeyondtheacquisitionofdesigninsights.Statementsinthiscategoryhadtoindicatethatthestudentwasnowmorecuriousaboutdesignorwassomehowrelatedtotheirself-identityasadesigner.Theresearchersreported22agreementsoutof24judgementsforthisBDIcode(BeyondDesignInsights)andconsequently,wehavechosentoincludeitaspartofourdiscussionduetosomeoftheinsightsitsurfaced.

Uponcompletingtheiranalysis,theresearcherscomparedresultsandarbitrateddiscrepanciestoagreement.Twojudgements(outof480)requiredexternaladjudicationthroughamajorityvotebyathirdresearcher.Forthe6mostprominentinsightsdiscussedinthispaper(atotalof288judgements)26werebrieflydiscussed,10warrantedfurtherdiscussionorclarification,and1requiredadjudicationbyathirdresearcher.Priortothisarbitration,theinitialinter-raterreliabilityforthesesixcodeswasalsocomputedusingCohen’sKappa(1968)andfoundtobe0.78,0.59,0.88,0.85,0.83and0.86respectively.

4.FindingsDespitetherelativelyshortnatureofthedesigntimelineexercise,itprovokedavarietyofstudentreactions—manyofwhichwerecharacterizedbybuildingastrongerappreciationforconsideringafullerrangeofdesignactivities.Inwhatfollows,wefirstdescribethehighlevelresultsofouranalysis,includingattentiontohowstudentreactionsshiftedbetweenthetwoprompts.Wethendescribetheinsightsthatstudentstakeawayfromtheexercise.

Figure4showsthedistributionofthe89designinsightsthatresearchersobservedacrossthe48studentresponsesthroughouttheactivitybycategory.

Figure5providesadditionaldetailontheseresultsbyshowingthenumberofstudentsreportingeachinsightforPrompt1(thelightbars)andPrompt2(thedarkbars).RecallthatPrompt1capturesthestudents’initialinsightswhilePrompt2isdesignedtocapturefinaltakeawaysafterapresentationofresearchfindingsandagroupdiscussion.AllbutfiveofthestudentsaddedatleastonenewideatotheinsightstheyincludedintheirresponsetoPrompt2.Asthefigureshows,someinsightssuchasBreadthandGatheringInformationwerementionedwithsimilarfrequencyinresponsetoPrompt1andPrompt2.Otherinsights,suchasIteration,ProblemDefinition,Modelling,andTimeweredifferentiallyprominent.

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Figure4-Thetotalnumberofstudentinsightsbycategory

Figure5-Thenumberofstudentinsightsbycategoryandprompt

Below,weprovideadescriptionofthestudentresponsesthatcomprisethesixcodedcategories.WealsopresentourfindingsfortheBDI(BeyondDesignInsights)codeinthissection.Thestudentquotesthatwehighlightinthissectionhavebeenselectedforbeingrepresentative,interestingandfortheirillustrativepower.

0 4 8 12 16 20 24

Modeling

ProblemDe9inition

Time

GatheringInformation

Iteration

Breadth

NumberofStudentswhoExpressedDesignInsight

DesignIn

sight

NumberofStudentswhoExpressedDesignInsight(forwholeexercise)

0 4 8 12 16 20 24

Modeling

ProblemDe9inition

Time

GatheringInformation

Iteration

Breadth

NumberofStudentswhoExpressedDesignInsight

DesignIn

sight

NumberofStudentswhoExpressedDesignInsight(forPrompt1andPrompt2separately)

Prompt1Prompt2

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4.1StudentInsight:Timematters(Time)Oneoftheinitialinsightsreportedbyfourteenofthestudentsafterexaminingthedesigntimelinesrevolvedaroundequatingoveralltimespentwithgoodqualitydesign.Thiswasgenerallyexpressedinafairlysuccinctmannerbystudentswithstatementssuchas“themoretimeyouspend,themorelikelyyoucangetagoodscore”and“studentsthatspentlesstimehavealowerqualityscore”(students4&20).Interestingly,whilstfourteenstudentsconsideredthisanotableobservationtoshareinitially,onlytwoofthemchosetodiscussitasapointoflearninglateroninresponsetoPrompt2.Thiswouldseemtoindicatethatmanyofthesestudentsdidn’tconsiderwhattheycouldmakeofthisobservationtobeatakeawayimportantenoughforthemtoincludeastheirresponsetoPrompt2.

Threeofthestudentsalsofurtherqualifiedtheirobservationsbynotinghowtimespentstopsbeingafactorpastacertainpoint.Forinstance,student15wrotehowhe“learnedthatputtinginenoughtimeisvaluableuptoacertainpointbutthenamoreiterativedesignprocessbecomeshelpful”.Thesenuanceseffectivelyforeshadowtheotherthemeswhichthestudentswroteaboutregardinghowtimeshouldbespentindesignwhilestillpayinghomagetotheideathatacertainamountoftimeexpenditureisinevitableifqualityisdesired.

4.2StudentInsight:Timespentgatheringinformationraisesquality(GatheringInformation)Withinthethemeofhowtimeshouldbespent,twothirdsofthestudentswroteabouthowdesignerswith“goodscoresgatheredinfothroughouttheprocess”.Therelativelyevensplitofresponses(eleveninPrompt1andonlyanadditionaltwoinPrompt2)suggeststhatstudentscametothispointbythemselvesandwereattentivetoitssignificance.

Oneminordistinctionthatwecouldseeinthestudentresponsescamefromhowthemajorityofthemsawhighscorersandexpertsgatheringinformationcontinuouslythroughoutthedesignprocesswhileothersperceivedthattheinformationgatheredinanearlierphasecarriedmoreweight.Sowhilethreestudentswrotethattheylearned“towaituntilmoreinformationisgathered...tostartmodelingideas”(student8),otherswroteofhavinglearnedthatthereisnoendpointtotheinformationgatheringphase.Forexample,student5wrotethattheylearnedto“continuegatheringinformation,eventowards[the]end”,whilestudent7expressedthatshewould“trymyhardesttoavoidmodelingtooearly,andalsowhenIstartmodelingto‘comeupforair,’sotospeakandtakealookattheinformationgivenandmaybetheinformationnotgiven”.

4.3StudentInsight:Keeprevisitingtheproblem(ProblemDefinition)Interestingly,whileinformationgatheringandproblemdefinitionfrequentlygohandinhandasdesignactivities,therelationshipbetweendesignqualityandproblemdefinitionactivitieswastoucheduponbycomparativelyfewerstudents.OnlytwostudentsbroughtuptheproblemdefinitionactivityasafactorindesignqualityscoresinresponsetoPrompt1,whileanotherninedidsoafterdiscussioninPrompt2.Thissharpdifferencewouldindicatethat

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observationalonewasnotenoughforstudentstomakealinkbetweenproblemscopingandfinaldesignqualityandthatdiscussionsbroughtthestudentstosurfacecertainkindsofinsights.Thiswasfurtherreinforcedbytherelativelyuniformtoneofstudentresponseswhichgenerallyexpressedthisthemeintermsofrevisitingproblemdefinition:“Itiseasytogetcaughtupinmodelingbutifyoudon'tgobacktotheproblem,youwillmostlikelyfailtomakeagooddesign”(student4).Thislackofvariationsuggeststhattheclassdiscussionpossiblyhelpedshapethestudentresponsesatthelanguagelevel.

4.4StudentInsight:Everybodyspendsthemosttimemodellingthesolution(Modelling)Significantly,manystudentresponsesseemedtorecognizethatmodelling—theactivitywhichconsumedthemostdesigntime—wasnegativelycorrelatedwithquality.Forinstance,student16offeredaconclusionthat“themostimportantthingIlearnedtodaywasthatwhenyoudesignaproduct,anidea,oranything,youhavetotrytonotonlyfocusonmodeling”.Sevenofthestudentswereparticularlyattentivetohowthetimelinesshowedmodellingasthemosttimeintensiveactivityformostdesignersinthesample.Forexample,students16and3respectivelynotedthat“evenexpertsspendthemosttime/effortintomodeling”and“modelingtookupthemajorityofthetimeformostpeople”.Thisobservation—thatnobodygetsawaywithnotdoingasignificantamountofsolutionmodellingduringdesign—canpotentiallyhelpstudentsdemystifyandbetteridentifywiththeworkprocessesofmoreexperienceddesigners.

4.5StudentInsight:Breadthisthekey(Breadth)Althoughstudentslinkedseveraldesignprocessactivitiestodesignquality,themostprolificinsightemergedfrom22ofthe24studentslinkinghighscoreswithaholisticdesignprocessintermsofactivities.Ineffect,studentswerenotinghowthemoreanactivitysuchasmodellingappearedasacontinuousblockonthetimelines,thelesstimewasthenavailableforotherimportantactivities.Theequalsplitandoverlapofstudentswhochosetocoverthisthemeintheirinitialobservationsversustheirchieftakeawayswouldindicatethatthisinsightwasbothreadilyapparentandveryimportanttothestudents.

Therichdiversityofexpressionusedaroundthiscodeisanotherinterestingfeaturethatwarrantselaboration.Forinstance,somestudentslikestudent12wroteaboutnot‘gettingstuck’on‘oneidea’orphasewhilereflectingupontheirowndesignprocess:“[Ilearned]thatspendingtimeonallaspectsofdesigniscriticalforaqualityproduct…Thisissoimportanttomebecauseitiseasytogetexcitedaboutacertainideaandforgetwhatthemainthingwasabout.”Otherstudentsofferedtheirconclusionsthroughideasregardingevendistribution,revisiting,balance,andintegrationwithrespecttodesignactivities.Itisdifficulttofirmlyconcludewhetherthiswidervarietyofphrasesindicatesadeeperormoregenuinelevelofengagement,butneverthelesswefoundthiscombinationoffrequencyanddiversitytobetelling.

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4.6StudentInsight:Iterationandtransition(Iteration)Thesecondmostsystematicallyprevalentsetofinsightsarosefromnineteenofthestudentswritingabouthowgooddesignprocessesareiterativeinnature.Studentsexpressedthisconceptinavarietyofways.Someresponses,likestudent17’sreferredtocyclingorrepetition:“Thereseemstobeaclearcorrelationbetweenthequalityofthedesignandtheabilityofthedesignertokeepcyclingthroughallstepsoftheprocess”.Otherresponsesusedtermssuchas‘jumpingbackandforth’(student4),‘goingcircular’(student21),being‘nonlinear’(student19),etc.

Manystudentsalsoexplicitlycalledoutthepatternstheyobservedinhighqualityscoresasiterative.Forinstance,student3referredtoiterationdirectlyinthecontextofreflectinguponhisowndesignprocess:"Alsoseeingtheiterativestepsthatweremadewillmakemefeelbetteraboutsteppingbackandlookingeverythingover".SinceonlyeightresponsescontainedthiscodeinPrompt1versusseventeeninPrompt2,itseemsthatalthoughthiswasavaluabletakeawayformanystudents,itwasnotinitiallyapparent.Thatsomeamountoftimeordiscussionwasprobablyhelpfultosurfacingthisinsightcouldbeexplainedbythefactthattheiterationpatterncouldonlybeobservedafterabsorbingallsixtimelinesandsteppingbackforsynthesis.

4.7BeyondDesignInsights(BDI)Apartfromtheaboveinsights,morethanathird(10outof24)ofthestudentresponsescontainedelementsthatextendedbeyondlearningaboutdesignprocesses.Inmanyways,thesewerethestatementsthatthestudentswrotewhichdidnotdirectlyaddressthepromptstheyweregiven,butpointedtoreactionsthatweconsidertobesignificant.Unsurprisingly,mostoccurrencesofthisBDIcodeshowedupinthesecondresponsethatwassolicitedfollowedaclassdiscussionthatfeaturedresearchfindings,furthersupportingourfindingsconcerningthevalueofguideddiscovery.Inthisprompt,thestudentswereaskedtoengageinareflectiveactivitywheretheyselectedthemostimportantthingtheylearnedintheexercise.However,therewereanumberofinstancesevenduringthePrompt1responseswheresomestudentsmovedpastthedataobservationpromptandplacedthemselvesinthesituationofthedesignersintheexerciseorattemptedtogiveadviceonwhatnottodo.Forinstance,student13’sresponseendedwith“formeIwouldspendmoretimewith[the]decision[activity]thantheothersdid”.

OneofthemostfrequentlyexpressedBDItakeawaysatanoveralllevelwasanappreciationfor‘showdon’ttell’,whichtiedintoseveralotherthemes.Forinstance,thequoteforthetitleofthispapershowsthisparticipantexpressingthisappreciationwhiletyingitintowhatweinterpretasakindofpreparationforfuturelearning:“Supervaluable!Muchmorecompellingtoseerealdata,detail,makesmebelieve,insteadoftuningout'prescribed'info,can'ttrusthowtheyderiveditb/cdon’tknow.Spendanotherdayinourclasstalkingaboutthisresearchplease!”(student22).Elsewhere,studentresponsesalludedtohowsteppingoutsideoftheseprocessesandreflectinguponthemmightaffecttheirconfidenceorfuture

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decisionmaking.Forexample,student3wroteofhavinglearned“howotherpeoplespendtheirtimeindesign.Ididn'thaveanyideahowothersdidit.SeeingwhatpartswerethemostimportantforthequalityscorewilldefinitelyshapethewayIdesigninthefuture”,whilestudent10noted,“Inowrealizethatspendingtimeatthisprocesswillpayoff”.

Figure6–Partialscansofstudent7and22’swrittenannotationsuponthedesigntimelinehandouts

Reviewingstudentresponsesfromthisbroaderperspectivealsohelpedusnoticehowstudentsweremakingmeaningofthetimelinesoutsideoftheprescribedspacesandpromptsthattheyweregiven.Someclearinstancesofthiscamefromthreeofthestudentsannotatingandsketchingdirectlyontheircopiesofthedesigntimelinestodiscoveradditionalinsights.Forinstance,intheimagescansabove(Figure6),wecanseestudent7attemptingtomapdesigntoashapebyconsideringthegeometricgradientorslopeofsenior3’sdesignprocess.Likewise,student22attemptstoprojectcertainpatternswithinthetimelinesontodesignbehaviourssuchaspivoting.Thesemorevisualattemptsatdiscoverycanhelpusappreciatethedifferentmodalitiesandbehavioursstudentswereengagingintoarriveattheirdiscoveries.

5.DiscussionThestudentsinthisstudysucceededindiscoveringsixmeaningfulinsightsaboutthedesignprocess,asdescribedinthefindingssection.Thestudents’abilitytoarriveatsuchinsightsconfirmsthatguideddiscoverywaspossibleandcorroboratespreviouswork(Borgford-Parnell,2010).Asalludedtointheintroduction,webelievethatstudentsdiscoveringandarticulatingtheirinsightswillbehelpfulfortheminfuturedesignactivities.Specifically,beingabletorecognizeeffectivestrategiesmeansthatthereispotentialforthemtomonitorandadjusttheirowndesignactivitywithincreasedconfidence.Forexample,seenfromahighlevelperspective,thestudents’insightsfocusonthesignificanceofspendingtimeandhowthattimeisspent.Implementingthatinsightmaypositionstudentstomonitorhowtheyarespendingtime,recognisewhentheyarenotspendingtimeeffectively(e.g.,spendingagreatamountoftimeinmodelling), andmakeexecutiveleveldecisions

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abouthowtospendtimegoingforward(e.g.,decidingtorevisittheproblemdefinitionorgathermoreinformation).

Thedistributionofstudents’insightswasnotthesameforthetwoprompts.Prompt1guidedstudentstoarticulatetheirobservations,andPrompt2guidedthemtoreflectandarticulatewhatwasmostimportanttothem.Examiningthefindings,wecanseethattherewerethreepatternsofchange:(a)aninsightbeingprevalentforPrompt1andnotprevalentatPrompt2(e.g.,Time),(b)aninsightnotbeingprevalentforPrompt1andbeingprevalentforPrompt2(e.g.,IterationandProblemDefinition),and(c)abalancedpatterninwhichaninsightwasequallyprevalentforbothprompts(e.g.,BreadthandGatheringInformation).Surfacingthesepatternsofchangehelpsusbetterunderstandtheguideddiscoveryprocessovertimeintermsofwhatwaseasyforindividualstudentstodiscoverearlyonversuswhattheycoulddiscoverwithdiscussionswithpeersandtheeducator.Additionally,webetterunderstandwhatdiscoveriesstudentsrecognizeearlyonbutlaterreplacebymoreinterestinginsights,ascomparedtostudentsearlydiscoveriesthatcontinuetoretaintheirimportance.Thiswayofframingdifferenttypesofguidancecanhelpwiththedesignoffutureguideddiscoveryactivities,andalsoraisesquestionsabouthowdifferentpromptsmightfacilitatedifferentdiscoveries.

Asthedescriptionsofthestudentcommentsthatmadeupthecontentofthecodecategoriesindicate,therewasanindicationthatforsomestudents,theirinsightsweresomewhatpersonalinnature(forexample,insightsrelatedtoidentity,toimaginedfuturedesignactivities,andtoasenseofpersonalrelevance).Thisisinterestingbecausesuchpersonalpositivereactionmayincreasethelikelihoodthattheseinsightsarenotephemeral,butrather,becometheprinciplesthatstudentslaterusetogroundtheirowndesignprocesses.Interestingly,thepromptof“themostimportantthingyoulearned”doesnotnecessarilyfacilitatesuchpersonalreactions—learningforstudentscanoftenbeassociatedwiththetypeofknowledgethatistestedbytestsandexplainedintextbooks.Giventhatthepromptdidnotaskstudentstoprovideinsightintotheirpersonalreactions,theobservationthatone-thirdoftheresponsesfeaturedsuchapersonaldimensionmightactuallybeanunderestimationofthepersonalreactionsbeingfeltbythestudentsinthisproject.Thisleadsustowonderwhatwemighthaveobservedifthepromptshadbeendifferent.Forinstancewemighthavesurfacedevenmorepersonalinsightswithpromptssuchas“Whatwouldyoudodifferentlyifyouwereinafuturedesignsituation?”or“Doyouthinkofyourselfasadesigner?”or“Didtoday’sactivitiesinfluenceyourthoughtsaboutyourselfasadesigner?”

6.LimitationsandFutureResearchOnelimitationofthestudyisthatourunderstandingofwhatthestudentsdiscoveredismediatedentirelythroughwhattheywroteonthesheetofpapertheyweregiven.Seeingthatsomestudentsactuallymadeannotationsdirectlyonthetimelinesthemselvessuggeststhatwealsoneedtoconsiderotherartefactsandwaysthatstudentsmighthavebeen

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engagingwiththetimelines.Onepossiblemeansofcapturingsomeoftheseadditionalinteractionswouldbetovideo-recordtheinstructionalevent.Thiswouldmakeitpossibletodiscernanyunscriptedquestionsandinteractionsthattookplacebetweenthestudentsandtheeducator.Additionalattentiontothoseinteractionscouldhelpinscriptingtheguidanceprocesssothatitisdoneinamoreexplainableandrepeatablemanner.Finally,giventhetime-constrainednatureoftheactivity,itwasnotpossibletofollowthestudentsintoanactualdesignactivityandseeiftheirnewinsightshelpedthembesuccessful.Futureresearchcanexplorewhetherthestudentinsightsfromtheshorterexercisedescribedinthispaperwillbehelpfulforstudentsoveralongerterm.

7.ConclusionInthispaper,wedocumentwhatwelearnedaboutusingguideddiscoverytohelpstudentdesignersdevelopinsightsaboutdesignprocessesthatarebasedondataandfindingsfrompriorresearch.Thispapercontributestotheevidence-baseforthespecificguideddiscoveryactivitythatislaidouthere.Ourfindingsleadustobelievethatdesigneducatorswhotrytorepeattheactivitywiththeirstudentsmaydiscoverthatadditionalaffordancesoccurwhenthereissharedvocabularyandsharedreferenceforideassuchasproblemsolvinganddesignprocessovertime.Thisactivityrepresentsoneexampleofcreatinganactivitywherestudentsinteractwithrealdataandhavetheopportunitytodiscoverpatternsthattheymaylaterleverageintheirowndesignwork.Seenasanexample,thiscanhelpothereducatorscreatesimilarguideddiscoveryactivitiesandsuggestfutureresearchdirectionsintotheuseofguideddiscovery.

Acknowledgements:WewouldliketogratefullyacknowledgeTerriLovinsforherassistanceonthispaperandthestudentswhoparticipatedinthisstudy.ThisworkwassupportedbytheNationalScienceFoundation(grantsRED-9358516andROLE-0125547),theBoeingCompany,theCenterforEngineeringLearning&TeachingattheUniversityofWashington,theMitchellT.andLellaBlancheBowieEndowment,andTheLeonaM.andHarryB.HelmsleyCharitableTrust.

8.ReferencesAlfieri,L.,Brooks,P.J.,Aldrich,N.J.,&Tenenbaum,H.R.(2011).Doesdiscovery-basedinstruction

enhancelearning?JournalofEducationalPsychology,103(1),1.Atman,C.J.,Adams,R.S.,Cardella,M.E.,Turns,J.,Mosborg,S.,&Saleem,J.(2007).Engineering

designprocesses:Acomparisonofstudentsandexpertpractitioners.JournalofEngineeringEducation,96(4),359–379.http://doi.org/10.1002/j.2168-9830.2007.tb00945.x

Atman,C.J.,Chimka,J.R.,Bursic,K.M.,&Nachtmann,H.L.(1999).Acomparisonoffreshmanandseniorengineeringdesignprocesses.DesignStudies,20(2),131-152.

Bruner,J.S.(1961).Theactofdiscovery.HarvardEducationalReview31(1):21–32.Borgford-Parnell,J.,Deibel,K.,&Atman,C.J.(2010).Fromengineeringdesignresearchto

engineeringpedagogy�:Bringingresearchresultsdirectlytothestudents.InternationalJournalofEngineeringEducation,26(4),748–759.

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Crismond,D.P.,&Adams,R.S.(2012).Theinformeddesignteachingandlearningmatrix.JournalofEngineeringEducation,101(4),738.

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DeanJr,D.,&Kuhn,D.(2007).Directinstructionvs.discovery:Thelongview.ScienceEducation,91(3),384-397.

Dym,C.L.,Agogino,A.M.,Eris,O.,Frey,D.D.,&Leifer,L.J.(2005).Engineeringdesignthinking,teaching,andlearning.JournalofEngineeringEducation,94(1),103-120.

Kirschner,P.A.,Sweller,J.,&Clark,R.E.(2006).Whyminimalguidanceduringinstructiondoesnotwork:Ananalysisofthefailureofconstructivist,discovery,problem-based,experiential,andinquiry-basedteaching.EducationalPsychologist,41(2),75-86.

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AbouttheAuthors:

CynthiaJ.AtmanisdirectoroftheCenterforEngineeringLearning&TeachingandprofessorofHumanCenteredDesign&Engineeringatthe University ofWashington. Her research focuses on engineeringdesign learning, reflection, and considering context in engineeringdesign.

AhmerArif isaPhDstudentat thedepartmentofHumanCenteredDesign&EngineeringattheUniversityofWashington.Hestudiesthedesignofdigitaltoolstosupportreflectivepractices.

Kathryn E. Shroyer is a PhD student in the department of HumanCenteredDesign&EngineeringattheUniversityofWashington.Herresearchinterestsincludeengineeringeducationanddesignthinking,teaching,andlearning.

Jennifer A. Turns is a professor of Human Centered Design &Engineeringat theUniversityofWashington.Her research interestsinclude engineering education, reflection, helping engineeringeducators, and application of ideas from complexity science to thechallengesofengineeringeducation.

Jim Borgford-Parnell directs the Office for Advancement ofEngineeringTeaching&LearningattheUniversityofWashington.Hetaughtdesign,research,educationtheory,andpedagogycoursesforover 35 years. He currently does research and instructionaldevelopmentinengineeringeducation.