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Index
1
EMIS
SatokoYano,SaraBinMahfooz,JulietteNorrmén-Smith,StefanNippes,PierreChapeletandGwang-CholChang
UNESCO-EDP
RegionalForumonEducationPolicy/vol.5/2021
ModernizingeducationmanagementwithEMIS:
BuildingbackstrongerfromtheCOVID-19Pandemic
MauricioHorn
UNESCOConsultant/IndividualSpecialist
Aboutthispublication
Thispaperdrawsfromtheworkingpaper,
“Re-imaginingthefutureofEducation
ManagementInformationSystems”draftedbytheSectionofEducationPolicyintheDivisionforPoliciesandLifelongLearningSystems:
SatokoYano,SaraBinMahfooz,Juliette
Norrmén-Smith,PierreChapelet,underthe
guidanceofGwang-CholChang.Theworking
paperwaswrittenasaproductofUNESCO’s
2021InternationalSeminaronEMIS,and
accordingly,itbenefittedfromthecontributionsandinputsoftheseminar’sspeakersand
participants.UNESCOacknowledgesthe
valuablecontributionsofitsEMIStaskforce
members:ShailendraSigdel(UNESCO-UIS),
Jean-ClaudeNdabananiyeandAmelieGagnon(UNESCO-IIEP),FrancescaPinna(EME),
AlejandroVeraMohorade(OREALC/UNESCOSantiago),DenisKapelyushnikandSvetlana
Knyazeva(UNESCO-IITE),andNicolasJonas
(UNESCO-UIL).Wewouldalsoliketothank
amemberofUNESCO’sEMISCommunity
ofPractice,JonKapp(CSF),forhisinsightful
inputsandfeedbackonthedraftofthisWorkingPaper.Finally,wearegratefultoPaulaRazquin(UNESCO-EDP)forherinsightsandguidance
throughoutthedevelopmentofthispaper.
Howtocitethispublication:Yano,S.,BinMahfooz,S.,Norrmén-
Smith,J.,Nippes,S.,Horn,M.,Chapelet,P.&Wang-Chol,C.(2022).
ModernizingeducationmanagementwithEMIS:BuildingbackstrongerfromtheCOVID-19Pandemic.IIEPUNESCO.
Index
1.Introduction 2
2.EducationdatachallengesandCOVID-19 3
3.EvolvingexpectationsofEMISina
post-pandemicnewnormal
5
4.HowtomeettheevolvingEMISexpectations 8
5.EMISCaseStudiesinLatinAmericaandthe
Caribbean:UruguayandPeru 15
6.UNESCO’scontributiontobuildingthe
FutureEMIS
19
7.References 2
2
Abstract
Severalfactorsarecontributingtothe
ongoingevolutionofEducationManagement
InformationSystems(EMIS).Theseinclude
increasingdigitizationofeducationsector
managementandeducationdelivery,the
accompanyinggenerationoflargevolumes
ofdata,includingaboutthelearningprocess
itself,andtheavailabilityoftechnologiesfor
theiranalysis.Thepandemic-inducedshift
todistancelearningandthepost-pandemic
prevalenceofhybridlearningmodalities
acceleratedtheinfluenceofthesefactorson
EMISsystems.Inlightofthesechanges,it
isimportanttore-formulatetheexpectation
thatamodernEMISshouldnotonlyserveas
atoolfornationalstatisticalreportingbut
Index
2
EMIS
RegionalForumonEducationPolicy
ratherasatooltosupportdigitizedadminis-trativemanagementatalllevelsthroughtheprovisionoftimelyandactionableinformationservices,andthat,furthermore,itshouldnotonlysupportadministrativemanagementbutalsodirectlysupportlearningmanagement,
includingwithinhybridandblendedlearningmodalities.
However,currentEMISareoftenill-equippedtoharnessthefullpotentialofthewealthofdatageneratedthroughdigitizededucationdeliveryandsectormanagement.Thekey
weaknessesofthecurrentsystemsarelack
ofintegrationandinteroperabilitybetweenexistingsystems,outdatedEMIStechnologies,inadequatescope,andthelowlevelsofca-
pacityfordatauseandanalysis.ThelargegapbetweenthestatusquooffragmentedEMISinmanycountriesgearedprimarilytowards
nationalstatisticalreportingandplanning,
andamodernEMISthatsupportssector
administrativeandlearningmanagementatalllevelsreflectsinpartalackofvisionandun-derstandingofthebenefitsofamodernEMIS.
Therefore,thispaperseekstospelloutin
moredetailwhatamodern,re-imaginedEMISshouldlooklikeaswellaskeyareastofocusonforachievingit.Inshort,amodernEMIS
shouldbeintegrated,modular,supportadmin-istrativeandlearningmanagement,provide
actionableandtimelyinformationservicestoalllevels,andfocusonbuildinghumanand
organizationalcapacitieswithinlocalecosys-tems.ThispaperarguesthattoimplementamodernEMIS,itwillbeimportantforpolicy-makerstocreatethenecessary(i)legal,policyandinstitutionalframeworks,specifyingkeyEMISanddatagovernanceprocessesand
providingsustainedfundingcommitments
tosupportamulti-yearprocess,(ii)investin
upgradingandsustainingthetechnological
infrastructure,andto(iii)heavilyinvestin
humancapacitybuilding.Thepaperalsoex-ploresthepotentialcontributionsthatfrontiertechnologiessuchasArtificialIntelligence
andBlockchaincanmaketofutureEMISanddiscussestheroleofacommunityofpracticeaswellasguidingprinciplesforthefurther
evolutionofEMIS.ThepaperconcludeswithdetailedexplorationsofEMISinLatinAmericaandtheCaribbean.
1.Introduction
Facedwithchanginglearningenvironments,
EducationManagementInformationSystems
(EMIS)areevolvingrapidly.Thepaceofthis
evolutionhasdifferedaroundtheworld,re-
sultinginalackofconsensusontheexpected
roleofEMISoverthepastdecade(Abdul-
Hamidetal.,2017).TheCOVID-19pandemic
triggeredaninternationaldialoguetodefine
theexpectationsforamodernEMIS.UNESCO
hasbeenattheforefrontofthiscriticaldebate
onwhatEMIScan—andshould—dotosup-
portlearningandminimizefutureeducational
disruptions.Inthepresentday,onepointis
strikinglyclear:EMISmustmovebeyond
routineadministrativetasksandstudenthead-
counts.AmodernEMISshouldnotbeviewed
asanancillarytoolinaneducationsystem,
butratherastheeyesthatsee,analyze,and
supportallaspectsofthesystem.
Thegrowingcomplexityoftoday’seducation
systemssetsahighbarforEMIS.Evenprior
tothePandemic,national,regional,and
internationalSDGmonitoringrequirements
werebecomingincreasinglyurgent,as
hastheneedforreal-timedatatosupport
learningatalltimes,includingduringcrises
(e.g.,
UNESCO-UIS,2019
).Furthermore,edu-
cationalecosystemshaveexpandedinscope.
Variousnon-stateandpublicstakeholders
areresponsiblefordeliveringeducation
alongalifelonglearningcontinuumthat
spansearlychildhood,primary,secondary,
technicalandvocational,highereducation,
andadult/continuinglearninginbothformal
andnon-formalsettings.PressuresonEMIS
toadapttopresentneedshavenotgone
unnoticedbyMinistriesofEducationaround
theworld(UNESCO-UIS,2020).Education
institutionsareexpectedtoanswerquestions
notonlyaboutenrolmentandperformance,
butalsoaboutthewell-being,teaching
andlearningprocesses,learningoutcomes,
pathways,diversity,equity,inclusion,
andthelong-termoutcomesofallstu-
dents.Moreover,EMISmustsupportlearning
continuityandmonitoringtoplanforand
facilitatecontinuous,uninterruptedaccessto
qualityeducationtoall.
Index
3
EMIS
RegionalForumonEducationPolicy
ThechallengesoftheCOVID-19pandemic
broughttheimportanceofeducationinforma-tionmanagementintostarkrelief.Itiswidelyacknowledgedthatdatadrivesthepost-pan-demic“newnormal”.Technologyuseinall
aspectsofourlives,includingineducation,
hasskyrocketed.Howcanourmanagement
systemskeepup?Howcantheymodernize
tobeabletocollect,validate,andanalyzetheever-growingpoolsofavailabledata?Howcanthisdataanalysisbeusedtoimproveequity
andmakeevidence-baseddecisionsatall
levelsofoureducationsystems?Theseare
pressingandimportantquestionsbecause
withoutstrongdatasystems,wecannotsee
theproblems—northeprogress.ThatistheroleofamodernEMIS:itopensoureyestoreallyseeallpartsoftheeducationsystem,tohelpusmakesenseofit,andmostimportant-ly,tohelpusmakeitbetterforeveryone.Withtheinternationalcommunityinvestedinthe
importanceofEMIS,nowisthetimetorethinkboththedefinitionanddesignofEMISto
betterlearningmanagementaroundtheworld.
Thispaperaddressessomeofthesekeyques-tionsandpresentsUNESCO’splanstomove
forward.Itdrawsfrompreviouswork,mainlyUNESCO’sworkingpaper“Re-imaginingthe
futureofEducationManagementInformationSystems:WaysForwardtotransformed-
ucationdatasystemstosupportinclusive,
qualitylearningforall”,aproductof
UNESCO’s
2021SeminaronthefutureofEMIS
which
tookplacefrom26to28May2021.During
theseminar,countriesandpartnersshared
storiesofdatamanagementchallenges
anddiscussedtheopportunitiesforsystem
hybridization,digitization,integration,andop-timizationwithfrontiertechnologies.ThroughthelensoftheCOVID-19crisis,theseminar
examinedthelimitationsofpastconceptionsofEMISinordertostimulatediscussionandpreparationformoreresilient,integrated,
innovativefuturesofEMIS.Inaddition,this
paperprovidesmoredetailsonthetrendsandlessonslearnedfromEMISinLatinAmericanandtheCaribbean.
2.EducationdatachallengesandCOVID-19
BeforetheCOVID-19pandemic,challeng-
esfacedbymanycountrieshavebeen
widelydocumented(e.g.
WorldBank,
2015
,
UNESCO&GPE,2020
,
UNESCO-UIS,
2020
).TheCOVID-19crisishighlight-
edtheseshortcomingsandchallenges,
revealingthatmanyEMISlackedtheabilityto
helpgovernmentsensurethecontinuousman-
agementandmonitoringofinclusivelearn-
ingforall.Educationdataandindicatorswere
neededforimmediateusetomonitorand
respondtotheconstantlyevolvingebbsand
flowsofthepandemic.Often,EMISwasnot
suitedforthispurpose.TheEMISchallenges
exacerbatedbyCOVID-19canbeorgan-
izedaroundfourdimensionsofdataquality:
1.timeliness,
2.relevanceandcompleteness,
3.accessibilityanduse,and
4.interoperabilityandadaptability.
2.1.DataTimeliness
ManyexistingEMISlacktheabilityto
capturereal-timedataonschools,students
andteachers.TheCOVID-19crisisrevealed
thatthisaffectstheabilityofauthoritiesto
effectivelyandefficientlydecideonschool
closures,shifttodistance/hybridlearning,
trackparticipation,determinedrop-outrisk,
plantopreventlearningloss,andencourage
thesafereturntoschools.Manycountries
struggledtorespondtourgenteducational
needs,asdatafromEMISoftensufferfroma
significanttimelagandarenotupdatedsuf-
ficientlyoverthecourseofanacademicyear.
InArgentina,forexample,COVID-19shed
lightontheconnectivityandtimeliness
issuesoftheexistingsystem.Toaddress
thesechallenges,newEMIStoolswere
developed,including:SINIDEAcompa?ar
tomonitorattendanceandperformanceof
studentsinsecondaryeducation,ateacher
vaccinationregistry,andCuidarEscuelas,a
nominalregistrytoregisterCOVID-19suspect
casesofstudents,teachers,andstaffinorder
toplanforschoolreopening.
Index
4
EMIS
RegionalForumonEducationPolicy
2.2.DataRelevanceandCompleteness
Monitoringstudentswhoarenotwithin
schoolwallswasoneofthekeydata
challengesfacedbymostcountriesduringCOVID-19.Evenpriortothepandemic,EMISstruggledtoprovidedataonallchildren,
especiallyunderservedpopulationslike
displacedlearners,refugee,internaland
externalmigrants,out-of-schoolchildren,
orchildrenwithdisabilities.Thepandemic
requiredEMIStoextendmonitoringbeyondtheschoolwalls,butmostEMISwerenot
originallydesignedtocollectdatafromothersettingslikethehousehold.Assuch,many
EMISdidnotpossesstheagilityoradaptabil-itytorespondtothenewdemandsondata
broughtonbythepandemic.
WhileEMIScannotbeexpectedtoproducedataoneverythingduetothecostand
capacityrequirementsofdatacollection,
EMISshouldidentifyandmonitor,more
thanever,student,learningoutcomesandteachercapacitytoparticipateinalter-
nativedistanceeducationprogrammes,
includingdigital,TV,radio,andpaper-basedplatforms.EMISmustbedynamicandagileenoughtoquicklyevolveandaddressnewdatademandsastheybecomerelevant,enablingequitableeducationalplanningbyincludingthemostvulnerablelearnersin
datacollection.
2.3.DataAvailabilityandUse
Duetolackofastrongandopendata
culturecoupledwithweakdataliteracy,
manyEMISdidnotincludemechanismsto
disseminatedatabacktodataproviders(in-cludingschools,parentsandcommunities)infrequent,user-friendlyways.Thepandemicrevealedtheneedforacultureofdata-in-
formeddecisionmakingbyidentifyingthe
rolesofresponsibilitiesatalllevelsoftheed-
ucationandoutsideeducationsystem.Many
systemscouldnoteffectivelyimplement
andmonitorcrisisresponsesduetoweakuseandaccessibilityofdata,coupledwith alackofcapacityfordataanalysis.
Collectingdataforeducationindica-
torsamidacrisisisverydifficult.Teachers
maystruggletoreportattendanceinthe
samewayastheydidundernormalcondi-
tions;studentsmaynothaveaccesstothe
sametoolsusedbytheschoolsystemto
deliverdailylessonsandhomework.Notall
teachersmayhavereceivedthesameskills
trainingtocomfortablyandsuccessfullynav-
igatethedemandsofdifferentdataplatforms
usedineducationdelivery.Non-traditional
methodsofdatacollectionmaybeneeded
forthesakeofexpediency.Moreover,the
responsibilityofdatacollectionshouldnot
residesolelyontheteacher.Thenegative
economicimpactoftheCOVID-19crisismay
haveforcedteacherstoleavetheprofession,
movetootherplacesorstopteachingtotake
careoffamilymembers.EMISshouldbe
primedtosupportteachingstaffwithsimpli-
fieddatacollectionprocesses.
2.4.DataBeyondSchoolCensus
TheCOVID-19crisisshowedthatcoordination
andlinkageswithotherdatasystems,such
ashealth,arecriticallyimportant.Thedata
fromthehealthsectorneedtobecommu-
nicatedtotheeducationsectorimmediately
sothatthedecisionscanbemadebasedon
thelatestpublichealthinformation.Priorto
thepandemic,fewEMISincorporatedother
sourcesofeducationaldatabeyondschool
censusdata,suchaslearningmonitoring,
householdsurveys,inspectionreports,school
observationchecklists,learningassessments,
financedata,HumanResources,andmore.
TheuseofuniqueIDsforbothlearnersand
teachersbetweensuchintegratedsystems
canhelpmanagethemovementofstudents
andteachersbetweenschools,aswellfa-
cilitatethetransferofachievementrecords,
credentialsandprofessionaldevelopment.
Formostcountries,theeducationaldisrup-
tionsofCOVID-19alsoledtotheinterruption
ofessentialhealth,nutrition,socialandpro-
tectionservicesprovidedbymanyschools.
Thiscanputsignificantstrainonthewell-be-
ingoflearnersandtheirfamilies,increasing
theriskofthemostvulnerablelearnersto
leaveeducationearly(UNESCO,2021).This
isespeciallytrueofmostmarginalized
Index
5
EMIS
RegionalForumonEducationPolicy
groups,suchasgirls,out-of-schoolchildren,andlearnersaffectedbydisplacementanddisabilities.Thelackofinteroperabilityanddatasharingprotocolsacrossstakeholderswithintheeducationsectorpreventedeasyidentificationofthemostvulnerablechildrenandyouthstrugglingtoaccesseducationalservicesduringthepandemic.
Additionally,theincreasingavailabilityand
useoflearner-leveldatainmanagementsys-temscouldhavepositiveimplicationsforthequalityofbothteachingandlearning.Greaterlevelsofpersonalizedlearning,andbyexten-sionthemonitoringofstudentachievement,aremadepossiblebycoordinatingEMISwithLMSthatleverageAI-powerededucationaltechnologiesthatassessstudentacademicperformanceandlearningpatterns.Such
programscanyieldpredictiveanalytic
capacitythatcouldcoordinatedatapoints
fromdifferentsectors,suchastestscores,
socioeconomicstatus,gender,race,andage,togeneratewarningsystemsthat,intheory,couldcurtailstudentdropoutrates.Inthe
UnitedStates,forexample,schooldistricts
withintegratedLMSandEMISareusingsuchdataanalyticcapacitytopredictandpreventearlyschoolleavingforat-riskstudents
(Vincent-Lancrin,S.andR.vanderVlies,2020).
3.EvolvingexpectationsofEMIS
inapost-pandemicnewnormal
Reliableandaccuratedataarethelifebloodofeverymanagementinformationsystem.
Dataandinformationenabletheevi-
dence-baseddecisionmakingthatisneces-sarytoincreasethecoordination,accounta-bility,andequitabilityofincreasinglycomplexeducationsystems.Recently,datauseintheeducationsectorhaschangeddramatically,andwithit,theexpectationsofEMIS.Inthepastdecade,thecollectionandanalysisof
digitizededucationaldatahaswidelybeenseenastheidealmethodforinformeddeci-sion-makingtosolveissuesofschoolingonbothwithinandacrossnations(Ozga,2015).Withanabundanceofdigitizeddata,acces-sibleinformation,andever-expandingglobalnetworks,newordersofmagnitudeindatacapture,search,sharing,storage,analysis
andpresentationhaveemerged.However,
“withmoredatacomesmorenoise”(Prinsloo,
2015,p.296),andincreasingly,EMISisex-
pectednotonlytocaptureandprocess,but
alsotoaggregatedatafromalllevelsofthe
educationsystem.
In2018,theeducationcompanyPearson
statedthat“increasingly,datawillbethe
foundationoftheeducationlandscape”
(Deegan&Nathan,2018,p.61).In2021,this
predictionhasproventrue,forthepandemic
causedarapidincreaseinthepaceofeduca-
tiondataficationanddigitalizationworldwide.
Privateeducationalcompanies,especially
EdTechproviders,haveexpandedtheirreach
intoeducationsystems,raisingnewquestions
ofdataprivacy,ownership,andsafetythat
EMISmustalsoaccountfor.Inthepastfew
years,climatedisplacementthreatshavefur-
therpushededucationservicestomoveaway
fromtraditionalinstitution-basedlearning
environmentsinthefuture.Intheirefforts
todeploydistanceandhybridlearningpro-
grammes,manyeducationsystemsandtheir
EMISwereunpreparedtoreachbeyondthe
wallsoftheschoolbuildingtosupportteach-
ing,learningandmonitoringduringCOVID-19
schoolclosures.Additionally,thepandemic
triggeredanunprecedentedconvergenceof
educationbuildingblocksandsocialsystems,
blurringthelinesbetweentheresponsibili-
tiesofdifferentsectors’informationsystems
(e.g.,learning,health,labourmarketand
socialsecurity).
Assuch,EMISaroundtheworldfacebar-
rierstoensuringlearningcontinuityandto
monitoringhighquality,safeeducational
opportunitiesforallinunpredictableeduca-
tionalenvironments.In2018,UNESCOand
GPEhostedthefirstinternationalconference
thatexploredthemajortrendsdrivingthe
evolutionofEMIS.Thekeychallengesacross
differentcountriesandcontextsweredis-
cussed,andsixfactorsdrivingtheevolution
ofEMISwereidentified,asseenintheblue
boxesinbelowFigure1.Thekeywordsthen
were:availabilityoftechnology,monitoring
ofSDGs,complexityofeducationsystems,
EMISroletosupportplanning,monitoring
andevaluation,accountabilityandfocuson
outcomes.
Index
6
EMIS
Availabilityofmorepowerful technologies
Increasedexpectations
onEMIStosupport
planning,monitoring
&evaluation
Monitoringnationalandinternationalstandards(SDGs)
Publicdemandfor
accountabilityin
education
Growingcomplexity
ofeducation
systems
Increaseinfocuson
outcomesinsteadof
inputs/outputs
RegionalForumonEducationPolicy
Figure1.FactorsdrivingtheevolutionofEMIS,2018and2021
Real-TimeData
Learning
Management
Note:CompiledfromUNESCOandGPE’s2018InternationalEMISSeminarworkingpaper(blueboxes)andnewlyidentified(orangeboxes).
TheUNESCOInstituteforStatistics
(UIS)launchedasurveyofCOVID-19pandem-icimpactsonnationaleducationplanning
unitsinJuly2020withresponsesfrom120countries.ThesurveyexploredthevariablesaddedtopreviouseducationdatacollectionsastheirresponsestotheCOVID-19
crisis.AsshownintheFigure2,themostfrequenttermsforthefirstvariableshow
theemphasisonmonitoringattendanceand
remotelearningaswellastermsrelatedto
physicaldistancing,andontheright,“stu-
dents”wasthemostcommonofallvariables.
Thisshowsthatatitscore,EMISisaboutstu-
dents.EMISneedstobebothbottom-upand
top-downbecausegooddatamanagement
doesn’tonlyhelpschoolleadersorcentral
officers,buteveryone,includinglearners.
Figure2.NeworadaptededucationvariablescollectedduringCOVID-19
Source:UNESCO-UIS,2020.
Index
7
MIGIESd
RegionalForumonEducationPolicy
TheUISalsoadministeredaquestionnaireonEMISmetadatatogainabetterunderstand-ingofthecharacteristicsofexistingEMISinthecountriestohelpgaugetheircapacitytoproduceadministrativedataaswellasassesstheinvolvementofdevelopmentpartnersinproducingeducationdatainthecountries.
BetweenMayandAugust2020,103coun-triesacrosstheworldresponded.
Thekeyfindingsfromthesurveyinclude:
—Paperistheprimarymodeofdata
collection;
—Recordingstudent-andteacher-level
datainnationaldatabasesisarecent
phenomenon,whichmadeEMISstruggletocaptureparticipationsinonlinecoursesduringCOVID-19;and
—EMISisnotoftenlinkedwithother
ManagementInformationsystems,likeHealth,TeacherManagement.
Thereportthenprovidesasetof
recommendations:
—Ensureresourcestocollect,compileandpublishdataontime;
—CoordinatefinancesamongdevelopmentpartnersandwithingovernmentministriesresponsibleforeducationonEMISatthecountrylevel;
—Collaboratetoimprovetheknowledge
hubofEMIS(
/
)includingEMISquestionnaires,guidelinesandminimumstandardsforEMIS;and
—UpgradeexistingEMISwithnew
technologytocollect,compileand
disseminatedata.
TheserecentchangesandadditionalinsightsledUNESCOtoconsidertwoadditionalfac-torsthatcontributetothefurtherevolutionofEMIS:thedemand,availability,andtechno-logicalpossibilitytoprocesslargeamountsofreal-timedata,andlearningmanagement,includingmanagementofhybridlearning
(seeFigure1,orangeboxes).Theneedto
enhanceEMIStoencompassthesetwo
factorswasacceleratedbytheeducationaldisruptioncausedbytheCOVID-19crisis.
TheneedforanintegratedEMIS,bothverti-
callyacrosslevelsoftheeducationsystem
andhorizontallyacrosseducationdepart-
mentsandsocialsectors,ismoreapparent
nowthaneverbefore.Withincreasingly
data-drivensystemsofschoolinginmind,
thefollowingcharacteristicsrequiredfora
modernEMISwereagreeduponatthe2021
InternationalEMISSeminar:
1.Integrated.TheEMISisanintegrateddata
system.Integrationandcoordinationare
mandatedbypolicyframeworksandfacil-
itatedbydatastandardsandinteroperable
softwarecomponents.Integrationwiththe
widergovernmentecosystem,including
othersocialsectors(health,socialsupport
services,labour,etc.)
2.Modularandflexible.Ratherthanone
singlymonolithicsolution,theEMIS
architectureshouldbebuiltthrougha
collectionofindependentandinterop-
erableunitsthatprovideservicesfora
particularfunction.Thisapproachenables
thesystemtoberesponsiveandremain
relevantasnewneedsarise.
3.Actionable,timelyinformationservices
toalllevels.BigDataanalytics,usingbi-
as-freealgorithms,shallprovidereal-time
actionableinformationbasedonlargevol-
umesofdatatoalleducationstakeholders
includingtostudents,parents,teachers,
andsectormanagers,atvariouslevelsof
disaggregation,comparisonsacrosstimes
andbetweenunits.
4.Atooltosupportadministrative
management.Whilenotconceptuallynew,
itisimportanttostressthatadvanced
EMISaretoolsthatsupportthedigitized
managementofeducationatalllevels
andincludingbothstrategicaswellas
day-to-dayroutinemanagement,andboth
sectorandeducationalinstitution-level
management.
5.Atooltosupportlearningmanagement,
includinghybridlearning.EMISshould
includeLearningManagementSystems
thatsupportthelearningprocessand
willbetoolstosupportdeliveryofhybrid
anddistanceeducation.Thisincludesthe
capabilityofanEMIStoharnessmore
EMIS
RegionalForumonEducationPolicy
detailedinformationonthelearningpro-cesswhilepayingparticularattentiontodataprivacyandlegalownership.
6.Focusoncapacitydevelopmentand
leveraginglocalecosystems.Throughouttheprocess,EMISshouldfocusonbuild-inghumanandorganizati
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