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Meseguer-Artola, A. (2014). LearningbycomparingwithWikipedia:thevaluetostudents’learning. RUSC. Universities and Knowledge Society Journal, 11(2). pp. 55-65. doihttp://dx.doi.org/10.7238/rusc.v11i2.2042

Abstract

ThemainpurposeofthisresearchworkistodescribeandevaluatealearningtechniquethatactivelyusesWikipedia

inanonlinemaster’sdegreecourseinStatistics. ItisbasedonthecomparisonbetweenWikipediacontentand

standardacademiclearningmaterials. Wedefinethistechniqueas ‘learningbycomparing’. Inordertoevaluate

the performance of this learning technique, data from different academic semesters was collected. Through

differenthypothesistests, theacademicperformanceofthestudentsfollowingalearning-by-comparingstrategy

iscomparedwiththecasewhereWikipediaisnotused.

Additionally, duringthe coursethestudents areasked aboutthe reliability, currentness, completenessand

usefulnessofWikipedia, asratedona5-pointLikertscale. Thisdataisusedtoanalyse theperceivedqualityof

Wikipedia, foreachstatisticalconceptofthecourse, andtodiscoveritsrelationshipwithacademicperformance. To

thatend, descriptivestatistics, dependencetests, andcontrastsofmeanshavebeenperformed.

Keywords

e-Learning, highereducation, Wikipedia, academicperformance, quality

Aprendiendo mediante la comparación con Wikipedia: su importancia en el aprendizaje de los estudiantes

Resumen

El objetivo principal de este trabajo de investigación es describir y evaluar una técnica de aprendizaje que utiliza activamente Wikipedia, en el marco de una asignatura de Estadística de un máster en línea. Esta técnica se fundamenta en la comparación entre el contenido de Wikipedia y materiales académicos de aprendizaje estándar. Definimos esta técnica como «aprendi-zaje mediante la comparación». Con el fin de evaluar el rendimiento de esta técnica de aprendi«aprendi-zaje, se han recogido datos de diferentes semestres académicos. Por medio de varias pruebas de hipótesis, se compara el desempeño académico de los estudiantes que han seguido esta estrategia de aprendizaje mediante la comparación con el de los que no la han utilizado. Durante el curso se pregunta a los estudiantes sobre la fiabilidad, la actualización, la completitud y la utilidad de Wiki-pedia, mediante una escala Likert de 5 puntos. Estos datos son utilizados en este artículo para analizar la calidad percibida de Wikipedia, para cada concepto estadístico de la asignatura, y para descubrir su relación con el rendimiento académico. Para ello, se han utilizado estadística descriptiva, pruebas de dependencia y contrastes de medias.

Palabras clave

e-learning, enseñanza superior, Wikipedia, rendimiento académico, calidad

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earning

by

comparing

w

ith

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ipedia:

the

v

alue

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students

learning

A

ntoni

Meseguer

-A

rtola

OpenUniversityofCatalonia(UOC), Spain|ameseguer@uoc.edu

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1

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I

ntroduction

Itiswellknownamonglecturersthatthecompleteunderstandingofaconceptortopiccommonlyariseswhen

onehastoexplainthatconceptortopictostudents. Isitpossibletoreproducesuchasituationinthelearning

processofastudent? Isitpossibletodoitonavirtualcourse? Thispapergivesapossibleanswertothosequestions,

throughacasestudyrelatedtoapilotthatwascarriedoutfortwosemestersonthemaster’sdegreeprogramme

inInformationandKnowledgeSocietyintheIN3InstituteattheOpenUniversityofCatalonia(UOC), Spain(http://

in3.uoc.edu). Thesolutionproposedinthispaperisinspiredontheproposalandonthepositiveresultsobtainedin Petersetal. (2013), andfoundedontheactiveuseofWikipediathroughaguided-discoverylearningstrategy. Inthe

caseofe-learning, thisconstructiviststrategyisdeemedadequate(Moreno & Bailly-Baillière, 2002).

AlthoughWikipediaisbroadlyusedbystudentsatanyacademiclevelasaninitialsourceofinformation, itis

difficultto findhighereducationcoursesinwhichWikipediaplaysacentralroleinthelearningprocess(Llados

etal, 2013). In this paper, weshow how ithas beenused in acourseon AdvancedStatistics toimprovethe

students’academicperformance. Duringthecourse, studentswereaskedtoanswerdifferentquestionsrelatedto

theirperceivedqualityofWikipediacomparedtothatofthestandardacademiclearningmaterialsofthecourse.

Inthiscomparisonprocess, as animportantpartoftheirlearningperformance, theyhavetoprovideevidence

(examples)aboutthelevelofcompleteness, reliability, currentnessandusefulnessofWikipediainordertosupport

theiranswers. Thestudentsareguidedtolearnbycomparingdifferentsourcesofinformation. Foreachunitofthe

course, thestudentsareprovidedwithtwotypesoflearningresources. Ontheonehand, studentshaveaWikipedia

articlerelatedtothemaintopicoftheunitand, ontheotherhand, theyhaveseveralacademicdocuments(from

theUOCorfromotheruniversities).

In thispaper, wewill perform twotypesof analysis. First, wetest theinfluenceof thecomparativeuse of

Wikipediainthelearningframework. The firsthypothesisthatwillbetestedisthefollowing:

Hypothesis 1: The learning-by-comparing technique with Wikipedia has a positive effect on the students’ academic

performance.

Inorder toevaluatethe performanceof this learningtechnique, datafrom different academicsemesters was

collected. Weexaminewhetherthestudents’academicperformance(measuredwiththe finalgradesobtainedin

thecourse)isbetterinthosesemesterswhenWikipediaisusedthaninthepreviousones.

Second, weanalysethestudents’perceivedqualityofWikipediaanditsrelationshiptothelearningprocess. Since

theassessmentactivitiesofthecoursefocusonverydifferentquantitativeconcepts, itisimportanttounderstand

iftheperceivedqualitychangesacrosstopics. Wearealsointerestedindeterminingifitdependsonthetypeof

students, wheretypeisdeterminedbythestudents’gradesacrosstheirassessment. Thehypothesesassociated

withtheseinitialstatementsandtestedinthispaperarethefollowing:

Hypothesis 2: Students agree with the idea that Wikipedia has a good level of quality.

Hypothesis 3: The perceived quality of Wikipedia does not depend on the students’ grades.

Thispaperisorganisedas follows:usingtheframeworkofconstructivistlearningtheory, Section2definesthe

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4 evaluates the performance ofthe learning strategy, byusing different data sources and different statistical

techniques. Section5summarisesthemain findingsofthepaperandexplainsthemainlimitationsofthestudyas

wellasfurtherlinesofresearch.

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earning

by

comparing

Researchinanalogyshowsthatcomparingtwoinstructionalexamplesfacilitatesknowledgetransfer(Gill, 2011).

Oneofthemainobjectivesofeducationistofacilitatetheabilitytoapplyknowledgetodifferentsituations, which

iscentraltolearningabstractconceptsintheframeworkofanalogicalreasoning(Richlandetal., 2004).

Inanalogicalreasoning, studentsarerequiredtodeveloptheabilityto findunderlyingstructuralsimilarities

amongcorrespondingobjects(Holyoak & Thagard, 1995). Inthispaperweproposealearningtechniquethatis

basedonthisanalogicalreasoning. Inthelearning-by-comparingtechnique, studentshavetoanalyseboththe

similaritiesandthedifferencesbetweentwo(ormaybemore)learningmaterialsthatexplainthesametopic. They

havetocomparedifferentwaysofdescribingthesamesubject.

Academic literature provides evidence of the fact that students gain a robust learning when analogical

reasoningispromotedingeneral(Gentner & Namy, 2006), andalsointhespecific fieldofstatistics(Thomas, 2008).

Comparisonbetweenanaloguesalsoyieldsstrongersolutionschemas(Gill, 2011). Inthispaper, wewilltestthose

results, inthespecialcaseofavirtualcourseonQuantitativeMethods.

Ineducationalresearch, thereisstilldebateabouthowcomparisonsshouldbemadeandwhattheappropriate

levelof direct instruction isto optimally facilitate that comparison (Koedinger & Aleven, 2007). Constructivist

learning theory states that guided-discovery learning is the optimal solution to those questions, where few

instructionsaregiventothestudents(Mayer, 2004). Wewillplaceourtheoreticalframeworkhere, wherethereisa

balancebetweenthepureconstructivistperspectiveandtheinstructionalapproach. Inthecaseofe-learning, this

isthemostadequateoption(Moreno & Bailly-Baillière, 2002). Theactiveuseofinformationandcommunication

technologies(ICTs)inthevirtual learningenvironmentfordifferent purposes(communication, textnavigation,

informationaccess, etc.), resultsinaverypositiveexperienceoflearningtobuildknowledge(Hernández Requena,

2008).

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pplication

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Course

description

Inthemaster’sdegreeprogrammeinInformationandKnowledgeSocietyatIN3-UOC(http://in3.uoc.edu), acourse whereWikipediahasbeenactivelyusedasalearningtoolhasbeendeveloped; “Advanced Quantitative Methods in Knowledge Society Research”.

Oneofthemainobjectivesofthiscourseistocomplementthestatisticalknowledgedevelopedinprevious

basicquantitativecoursesbyobtainingagoodknowledgeofsomeofthemostrelevantadvancedquantitative

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ofstudy, andtheircomplementarity. Withthesetechniques, thestudentsperformvariousassessmentactivities

byusingdifferentstatisticalpackagesanddiscussingpossiblerelationshipsofdependenceorinterdependence

betweenvariables.

Althoughitisapracticalcourse, whereeachtechniqueisappliedtoparticularcases, withrealdata, theyalso

havebasicreferencesin theformofbothWebmaterialsandarecommendedbibliographytounderstandthe

theoreticalfoundationsofeachtechnique.

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Course

methodology

Thelearningmethodologyofthiscourseisthatofacontinuousassessmentactivity. Thisactivityisalearningstrategy

integratedintothelearningprocess, conceivedasamechanismforlearningandgivingreciprocalfeedback. Itisthe

mostappropriatestrategyintheconstructivistlearningmethodologywithintheframeworkofe-learning(Jonassen

etal., 1999). ThiscourseisanappliedcourseonQuantitativeMethods, whichshowshoweachtechniquecan

beusedtotestdifferentresearchhypotheses. Thecourseisdividedintofourunits:SamplingMethods, Topicsin

Econometrics, StructuralEquationModelling(SEM), andNeuralNetworks(NN).

Therearefourassessmentactivities, oneforeachunitofthecourse. Eachactivityhasatheoreticalpartandan

appliedpart. Thedesignoftheseassessmentassignmentsaimstocontributetothefollowinglearningobjectives

andcompetencesofthemaster’sdegreeprogrammeofwhichthiscourseformspart:

t Good knowledge of the most relevant quantitative and qualitative techniques, their advantages and

disadvantages, theirapplicabilityaccordingtothetypeofdataandobjectsofstudy, andtheircomplementarity.

t Abilitytodeterminethefeasibilityandreliability, andthestrengthsandweaknessesofdifferentmethodsand

techniques.

t Awarenessofthepossibilities, opportunitiesandissuesposedbyempiricalanalysisoftheInternetandother

ICTs.

t Masteringofastatisticalsuitethatfacilitatestheapplicationofstatisticaltechniques, analysisofdata and

drawingofconclusions.

To answerthe questions proposedin the assessments, thestudents are providedwiththe following learning

resources:

Theoretical part:

r Wikipedia:thisfreeencyclopaediaisusedtointroducedifferenttheoreticalconcepts.

r Learning materials:includingsomepartsofbooks, orotherWebmaterials. Theseareusedtogivetothe

studentsthefoundationsofeachstatisticaltechnique. Thesematerialsalsointroducethestudenttothebasic

conceptsassociatedwitheachtechnique. Onaverage, threereferencesaregivenperunit.

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r A research article:aresearcharticleisgiventothestudentsinordertoshowhowthestatisticaltechnique

isusedtotestthehypothesis. Thediscussionofthearticle, throughthequestionsstatedineachproblemset,

isthecentreofeachassessmentactivity, andwillhelpstudentsunderstanditsbenefitsanddisadvantages.

r A statistical package  and data:sincethis course isorientedtowards theapplicationof theproposed

techniques, statisticalpackagesareneededinordertodocomputations. Differentstatisticalpackagesare

used(suchasGretl, MXandJavaNNS), dependingonthecharacteristicsofeachtopic, toanalysethedataand tocomplementthediscussionofthereferencearticle.

Inthe theoreticalpart, thestudents are asked aboutthesimilarities betweenthe twosources ofinformation,

concerningsomeaspectsofthequalityoftheinformation. Theyhavetocomparethedocumentsinwhichthesame

topicisexplained. Withrespecttotheappliedpart, theyhavetoreproducethecomputationsthatareperformedin

theresearcharticle, butusingdifferentvariablesinthedatasetsassociatedwiththeresearcharticleorevendifferent

datasets. Finally, theyhavetointerprettheresultsobtainedwiththestatisticalpackageandtocomparethemwith

thoseproposedintheresearcharticle.

Hence, inthelearning-by-comparingtechniqueembeddedinthecourse, therearetwotypesofcomparisons;

the firstonefromthetheoreticalperspective, andthesecondonefromthepracticalperspective. Theresultsfrom

eachapproachhadanequalweightinginthe finalgradeoftheassessment.

PriortotheintroductionoftheactiveuseofWikipediainthe firstsemesterofthe2012/2013academicyear, the

coursehadthesamestructure:fourassessmentactivities, oneforeachunitofthecourse, withatheoreticalpart

andanappliedpart. Theonlydifferencebetweentheexercisesinthestatementswasthat, inthenewversionofthe

course, fourtheoreticalquestionsaboutWikipediawereincluded.

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Data

sources

InordertoanalysetheactiveuseofWikipediainthelearningprocessofthecourse, weconsideredtwodifferentdata

sources. The firstoneisthedataobtainedfromaquestionnairethatwasintroducedineachofthefourassessment

activities. ThestudentswereaskedabouttheirperceptionsofWikipediawithrespecttothefollowingfourquality

aspects; completeness, reliability, currentnessandusefulness:

Question 1.Compared with the other learning materials, do you think that Wikipedia gives a complete introduction to this

statistical technique?

Question 2.Compared with the other learning materials, do you think that Wikipedia gives reliable information about this

statistical technique?

Question 3.Compared with the other learning materials, do you think that the information about this statistical technique

in Wikipedia is current?

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StudentsarerequiredtoanswerthesequestionsbycomparingWikipediawiththe“standard”learningmaterials,

andtoprovideevidence(examples)tosupporttheiranswers. Tofacilitatethestatisticalanalysis, theyhavetorate

theiranswersona5-pointLikertscale(where1 = “completelydisagree”and5 =“completelyagree”).

Thesecondsourceofinformationisthestudents’academicgradesineachassessmentactivityandthe final

gradeforthecourse. Thisdatawillallowustoevaluatetheperformanceofthislearningtechnique. Thegradesrank

from1(D, poorgrade)to5(A, excellentgrade).

Allthisdatawascollectedfrom differentacademicsemestersinordertocomparetheresultsobtained. We

haveconsideredthesecondsemesterofthe2011/2012academicyear, whenWikipediawasnotused, andthetwo

semestersofthe2012/2013academicyear, whenWikipediawasactivelyimplementedinthelearningtechnique.

Table1showsthenumberofstudentsenrolledonthecoursesconsideredintheanalysis.

Table 1.Number of students per course

2011/2 2012/1 2012/2

28 22 21 71

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Results

First, apreliminaryanalysisofthe finalgradesofthecourse(rangingfrom1to5), basedoncontinuousassessment,

isconductedacrossthedifferent learningstrategies(thatis, withoutandwiththeWikipediacomparisons). The

resultsofthe ANOVA testin Table2showthatthereisasignificantdifference(p-valueequals0.073)betweenthe

meanofthetwosemesterswhenWikipediawasused(W=1)andthe firstsemester(W=0).

Sincestudentsarenotassignedrandomlytothegroups, factorsotherthantheuseofWikipediamayhavean

influenceontheexplanationofthedifferenceobtainedinthestudents’academicperformance(Rosenbaum, 2002).

Forthepurposeofthispaper, andtakingintoaccountthattheprocessofrecruitmentandthestructureofthe

master’sdegreecoursearethesamefortheanalysedsemesters, wewillassumethatthereissomehomogeneity

betweenthestudents’characteristics. Thisassumptionwillallowustofocusourattentiononthemostrelevant

differencebetweensemesters:theactiveuseofWikipedia.

Hence, wecaninferthatthedifferentacademicoutcomesareclearlyinfluencedbytheuseofthesetwodifferent

learningstrategies. Furthermore, sincethemeanwhenWikipediawasused(4.61)isgreaterthaninthecasewhereit

wasnot(4.29), thereisapositiveeffectoftheactiveuseofWikipediaonthestudents’academicperformance. This

isoneofthemainresultsinthispaper(Hypothesis1), andisconsistentwiththeliteratureshowingstudentsgain

robustlearningwhenanalogicalreasoningispromoted(Gentner & Namy, 2006).

Aftercheckingthesuitabilityoftheproposedtechnique, wewantedtoknowifthispositiveresultdependedon

thedifferenttopicsofthecourse. Bycomparingthemeansofthestudents’resultsingroupW=1ineachassessment

(AA1=3.83, AA2=4.28, AA3=4.20, and AA4=4.12)throughatwo-samplet-test, we findthattherearenosignificant

differencesbetweenthem. Allp-valuesaregreaterthan0.1(see Table3). Thegradesarequitehomogeneousandwe

donothaveinitialevidencetosuggestthatthestudents’learningprocessinanyoftheunitsleadstodifferentresults

withrespecttotheothers. Theefficiencyofthelearningtechniqueissimilar, independentlyofthecharacteristics

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Table 3.Difference in grades between assessment activities

AA1 AA2 AA3 AA4

AA1 - -1.53 (0.13) -1.26 (0.21) -0.97 (0.34)

AA2 - 0.22 (0.83) 0.42 (0.67)

AA3 - 0.21 (0.83)

Data in each cell: t-value (p-value)

TheperceivedqualityofWikipediaismeasuredbyfourdifferentfactors:theperceptionofitscompleteness, its

reliability, itscurrentnessanditsusefulness(Chuttur, 2009). Ifweconsiderthattherearenosignificantdifferences

betweenassessments(basedontheresultsin Table3), wecanaggregatetheperceptionofeachfactorthrough

theassessments, andanalysewhetherthesefourfactorsmeasureauniqueconstruct(thequalityofWikipedia).

Ascanbeseenin Table4, Cronbach’s alphaassociatedwiththeseitemsisequalto0.76, andgreaterthanthe

requested0.70level(Cronbach, 1947). Concerningtheitem-totalcorrelation, we findthatallvaluesareabove0.60,

therecommendedlevelfor fieldstudies(Ahnetal., 2007). Furthermore, thefactorloadingsarealsogreaterthan

therecommendedvalueof0.60(Ahnetal., 2007). Hence, fromtheinternalpointofview, theconstruct“Qualityof

Wikipedia”, measuredthroughthesefourfactors, isdeemedadequate.

Table 4. Item analysis

Item Cronbach’s alpha Item-total correlation Factor loadings

Complete

0.76

0.67 0.80

Reliable 0.62 0.79

Current 0.60 0.62

Useful 0.70 0.81

One-way ANOVA: FQ versus W

Source DF SS MS F P

W 1 1.469 1.469 3.34 0.073

Error 58 25.514 0.440

Total 59 26.983

S = 0.6632 R-Sq = 5.45% R-Sq(adj) = 3.82%

Individual 95% CIs For Mean Based on Pooled StDev

Level N Mean StDev ---+---+---+---+ 0 24 4.2917 0.8065 (---*---)

1 36 4.6111 0.5492 (---*---)

---+---+---+---+ 4.25 4.50 4.75 5.00 Pooled StDev = 0.6632

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Inthelastrowof Table5, wecanseethatallstudentsagreethatWikipediaiscomplete, reliable, currentand

useful, sinceeachfactor’smeanisabove3(answersrangedfrom1=“completelydisagree”to5=“completelyagree”),

andcloserto4. Takingintoaccounttheresultsinthepreviousitemanalysis, wecanaffirmthatstudentsagreewith

theideathatWikipediahasagoodqualitylevel(Hypothesis2). Themostvaluedfactorineachassessment, and

alsointheaggregated case, isalwayscurrentness(clearlyabove4). Comparedwithclassicacademicresources,

thestudentsperceivethatWikipediaiscurrent, containsrecentinformationandrecentreferences. Thisresultdoes

notcoincidewiththeopinionoffacultymembersfromdifferentknowledgeareas. Preliminaryconclusionsabout

thequalityofWikipediainamoregeneralstudy(ProjectWIKI4HE, http://oer.uoc.edu/wiki4HE/about/)showthat currentnessistheworstvaluedfactor. Only14% ofrespondentsagreethatWikipediaisuptodate(Aibaretal., 2013).

Table 5.Mean of the perception of each quality factor

Completeness Reliability Currentness Usefulness

AA1 3.80 3.85 4.23 4.08

AA2 3.80 4.03 4.26 3.80

AA3 3.61 3.94 4.15 3.67

AA4 3.27 3.61 4.15 3.42

Aggregate 3.63 3.86 4.20 3.76

TheleastvaluedfactorbystudentsisWikipedia’scompleteness. Althoughall figuresareabove3, itseemsthat

thisisthefactorthathastobeimprovedinordertoenhancetheperceivedqualityofWikipedia. Thestudents

believethattheacademiclearningresourcesaremorecompletethanWikipedia. Inanycase, wehavetobearin

mindthatWikipediaisjustanencyclopaedia, whoseaimistofacilitateagoodintroductiontothesubjects. Itsaim

isnottogiveacompleteviewofatopic.

Finally, wewantedtocheckifthere wassomerelationship betweentheperceivedqualityofWikipediaand

academicperformanceineachassessment. Tothatend, wewillcomparethemeanoftheperceptionofeach

qualityfactorforeachpossiblegradelevel. In Table6theresultsofthe ANOVA testarepresented. Sinceallp-values

areclearlygreaterthan0.05, wecanconcludethatthereisnodifferencebetweengroups. Hence, theperception

ofqualitydoesnotdependonthestudents’grades(Hypothesis3). Thisshowstherobustnessofthemeasurement

oftheperceptionofeachfactor, andthestrongeffectofWikipediaontheimprovementofacademicperformance

(testedin Table2).

Table 6.Difference between grade levels of the quality factor values

Completeness Reliability Currentness Usefulness

AA1 2.05 (0.14) 2.24 (0.12) 0.39 (0.68) 1.95 (0.13)

AA2 0.73 (0.49) 1.85 (0.17) 0.17 (0.84) 0.67 (0.52)

AA3 0.16 (0.85) 0.18 (0.84) 0.05 (0.95) 1.08 (0.35)

AA4 0.59 (0.63) 0.88 (0.46) 0.96 (0.43) 1.50 (0.24)

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onclusions

The main result of the paper shows that there isa significant difference betweenthe two semesters of the

2011/2012academicyearandthepreviouscoursewhenWikipediawasnotused. TheactiveuseofWikipediainthe

learningprocess, throughthelearning-by-comparingtechnique, improvesthestudents’academicperformance.

Thisconclusionalsobearsouttheknownresultthatstudentsgainarobustlearningwhenanalogicalreasoningis

promoted(Gentner & Namy, 2006).

Themain findingsonthestudents’perceivedqualityofWikipediaindicatethattheyagreewiththeideathatthe

encyclopaediaiscomplete, reliable, currentanduseful. Althoughthereisapositiveperceptionofquality, thereare

somequalityfactorsthatobtainbetterscoresthanothers. Themostvaluedqualityaspectwasthecurrentnessof

thecontent, andtheleastvaluedwasitscompleteness. Wehaveshownthatthisresultisrobust, sinceitdoesnot

dependonthetopicstudiedorthegradesobtainedbythestudents.

ThisworkalsoillustratesthatWikipediacanbeviewednotjustasanencyclopaediathatcanbeusedoccasionally

toresolvecertaindoubts, butalsoasanactiveelementofthelearningprocess. Inthispaper, wehaveshownhowit

canbeimplementedinanonlinecourse, throughthelearning-by-comparingtechnique, anditsapparentpositive

effectonstudentlearning.

A limitationofthisanalysisisthatithasbeenperformedonaspecifictypeofcourse(onlinemaster’sdegree

courseinStatistics)andonsmallgroupsofstudents. Futureresearchshouldapplythislearningtechniquetoother

knowledgeareasandbiggergroupsofstudentsfromdifferenthighereducationlevelstoassessitsusefulness.

Anotherlimitationoftheresearchresultsistheassumptionthattheonlydifferencebetweengroupshastobe

associatedwiththeactiveuseofWikipedia. Althoughthereareno“external”differencesbetweensemesters(for

example, intheprocessofrecruitmentofthestudents, orinthestructureofthemaster’sdegreecourse, etc.), there

maybeother“internal”factors(apartfromtheuseofWikipedia)influencingthestudents’academicperformance.

WhilethemostrelevantdifferencebetweensemestersistheactiveuseofWikipedia, wehavetotakeintoaccount

thattheremaybesignificantdifferencesinthosefactorsassociatedwiththestudents’personalcharacteristics. The

studentsdifferfromonesemestertotheother. Sincewedonothavedataaboutthosefactors, ithasnotbeen

possibletoincorporatethemintothepaper’sdiscussion. Infutureresearch, somethingthatneedstobetestedis

whetherthedifferencesbetweengroupscanalsobeexplainedbyotherinternalfactorssuchasthese. Additionally,

toavoidthepotentialbiasintheestimatedeffectsoftheuseofWikipediaduetothefactthatthestudentsare

notrandomlyallocatedtoagroup(W=0orW=1), adjustmentsforthepropensityscoreshouldbemadeinfuture

research(Rosenbaum & Rubin, 1983).

Finally, giventheobserveddiscrepancybetweenthestudents’andthefacultymembers’perceivedqualityof

Wikipedia(analysedintheprojectWIKI4HE), understandingthedifferenceswillalsobepartofthefutureresearch

plan.

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Cognition and Instruction, 22, 37-60. doihttp://dx.doi.org/10.1207/s1532690Xci2201_2

Rosenbaum, P. R. (2002). AttributingEffectsto TreatmentinMatchedObservationalStudies. Journal of the American Statistical Association, 97, 183-192. doi http://dx.doi.org/10.1198/016214502753479329

Rosenbaum, P. R., & Rubin, D. B. (1983). Thecentralroleofthepropensityscoreinobservationalstudiesforcausal

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Thetextspublishedinthisjournalare–unlessindicatedotherwise–coveredbytheCreativeCommons Spain Attribution 3.0 licence. Youmaycopy, distribute, transmitandadaptthework, providedyouattributeit (authorship, journalname, publisher)inthemannerspecifiedbytheauthor(s)orlicensor(s). Thefulltextofthe licencecanbeconsultedhere:<http://creativecommons.org/licenses/by/3.0/es/deed.en>

Ab

out

the

author

Antoni Meseguer-Artola

ameseguer@uoc.edu

AssociateLecturer, EconomicsandBusinessStudies, OpenUniversityofCatalonia(UOC), Spain

AntoniMeseguer-Artolaisan associatelecturerinStatistics, Mathematicsand Game Theory attheOpen University ofCatalonia(UOC), Spain. HeholdsadoctorateinEconomicsandBusinessSciences(1997)andamaster’sdegreein Economic Analysis, withintheInternationalDoctorateinEconomic Analysis, bothfromthe AutonomousUniversityof Barcelona(UAB), Spain. Furthermore, heholdsabachelor’sdegreeinMathematicsfromtheUniversityofBarcelona(1992),

withaMajorin AppliedMathematics.

BeforejoiningtheUOC, hewasanassistantlecturerinStatisticsandMathematicsintheDepartmentofEconomicsand EconomicHistoryattheUAB(1992-1997). AttheUOC, hehascoordinatedtheStatisticsandMathematicsarea, andserved asdirectorofthebachelor’sdegreeprogrammeinWorkSciences(2001-2006)andasdeanoftheFacultyofEconomics andBusinessSciences(2006-2010).

AsamemberoftheIN3’sresearchgroupONE, hecontributestothelinesofresearchonpricecompetitiononthe Internet, driving factors for e-commercedissemination, consumer behaviour invirtual learning environments, and e-learning. Ineachoftheselines, hehasproducedarticlesandconferencepapers. Heisalsotheauthorofhandbookson MathematicsandStatistics.

UniversitatObertadeCatalunya

Figure

Table 2. Differences in final grades between semesters
Table 5. Mean of the perception of each quality factor

References

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