What is Artificial Intelligence-Based Learning Analytics

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What is Artificial Intelligence-Based Learning Analytics?
LearningAnalyticscanbe broadlydefinedasdescriptionsand/orsummariesof learningactivitiesmade
ina mannerthat is useful forinstructors,administrators,and/orlearners.Giventhisrathergeneral and
vague definition,manycompaniescanclaimthattheirLearningManagementSystems(LMS) already
offerLearningAnalytics,since LMSstypicallycontainreportsof useractivityovertime,assessment
performance,viewsondifferentfiles,andotherhigh-levelinformation.Butthese basicformsof
descriptive analyticsonlyscratchthe surface onwhatcan be accomplishedwhenthe rightmethodsand
systemsare inplace.
Alongthese lines,whatZoomi offersismore aptlytermed“Artificial Intelligence (AI)-basedLearning
Analytics.”While thereiscertainlyvalueinthe descriptiveanalyticsthatLMSscontain – our system
offersthisandcan integrate withLMS to gatherit,too – Zoomi analyzesfine-granulardatato
accomplishmuchmore,surfacingthe mostuseful analyticspossible.Rootedincuttingedge research,
our AIbridgesthe gap betweenthe designof powerful algorithmsandthe applicationof these
algorithmstogenerate meaningfulpredictiveandprescriptive learninganalytics.
More specifically,Zoomi minesfourtypesof dataforlearninganalytics:clickstream, performance,
content,andsocial.Clickstreamdataiscapturedas learnersinteractwithcourse material,leavinga
digital footprintof whenandwhere theyplay,pause,scroll,andtake otheractions.Performance data
includesscoresonassessments(e.g.,quizzes/exams)andanyothermetricsforsuccess(e.g.,changesin
workplace performance atacompany).Contentdataisthe specificmaterialthatiscoveredatdifferent
parts of the course,linkingdifferentsubsetsof filestogether.Socialdataiscollectedaslearnersinteract
withone anotheranddiscussthe course material online (e.g.,inacompany’senterprisesocial network).
Zoomi can workwiththese formsof data, collectednativelyand/orthroughourAPIlinkingtoanalready
existingplatform.Regardlessof howitiscollected,Zoomi’sAIEngine ismade upof hundredsof
ingredientalgorithms –whichwe are constantlyexpandingandrefining –that make sense of thisdata in
real time.Throughdata mining,dimensionalityreduction,andpredictive modeling,the AIEngine isable
to answerquestionssuchas:Whichsegmentsof contenthave particularly highorlow learner
engagement,andhowshouldcontentbe adjustedasa result?Whichpatternsof clickstreamactions
showimprovementsinperformanceovertime,andwhatshouldlearnersdotomaximize theirresults?
Whichlearnersshowtendenciestodisseminate knowledge onspecificcourse topics,andhow canthis
be leveragedtoassistothers?Whichlearnerswill have successful outcomesattheircurrentrate,and
whichmay benefitfromalternate learningpathsand/ordirectinstructorintervention?
Requiringintelligentpredictive andprescriptive analytics,these andotherquestionscannotbe
answeredfromthe LearningAnalyticscontainedintraditional LMSs.Forthe firsttime,theiranswersare
made possible bythe AI-basedLearningAnalyticsthatZoomi champions.Everydatasethasa story
inside it:we selectthe one withthe mostwordstobe spokenandfinditsthemes.