User Manual En iTutor

8/13/2019 User Manual En iTutor

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www.intelligent tutor.eu

Intelligent Tutoring for Life Long Learning

With the support of the

Lifelong Learning Programme

of the European Union.

Lifelong Learning Programme

KA3 - ICT

Project number:

519058-LLP-1-2011-1-IT-KA3-KA3MP

USER MANUALSER MANUALUSER MANUALSER MANUALUSER MANUAL


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1

ITUTORCONFIGURATION .......................................................................................................................................3

CREATINGTHEDOCUMENTCORPUSFORBUILDINGTHEITUTORSEMANTICSPACE .......................................................................... 3

Criteriaforpreparingtextsanddocuments ............................................................................................................... 4

Managingmorethanonelanguage .......................................................................................................................... 5

Interactingwiththehiddendatabase....................................................................................................................... . 5

Insertingadefinition .................................................................................................................................................. 7

Insertinganinsight .................................................................................................................................................... 7

Insertinganorganizationdocument.......................................................................................................................... 7

Exportingadatabase ................................................................................................................................................. 7

Importingadatabase................................................................................................................................................. 8

Creatinganew

empty

database ................................................................................................................................ 8

LoadingthestructureiftheITUTORdatabaseinthenewdatabase........................................................................8

Loadingdata .............................................................................................................................................................. 9

Readingdata........................................................................................................................... ................................. 10

THEITUTORMAPSTHEORETICALBACKGROUND........................................................................................................11

ITUTORCONCEPTUALSPACE ............................................................................................................................................11

TEACHER/ADMINMANUAL .................................................................................................................................... 16

MONITORING............................................................................................................................................................... 47

PROFILING .......................................................................................................................................................................50

TIMELINEVIEW .................................................................................................................................................................52

Options..................................................................................................................................................................... 53

Installation ............................................................................................................................................................... 53

ALERTER..........................................................................................................................................................................54

Installation ............................................................................................................................................................... 57


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2

OVERVIEW

ITUTORisintendedtoprovideintelligentsupporttothethreemainactorsinvolvedinthelearningprocess

throughaVLE:

-Theinstructionaldesigner

-Thetutor

-Thestudent.

Thepreviousactornamesaretobeintendedasroles:thesameusercanhavedifferentroles

wheninteractingwiththesystembutatdifferenttimes.Infewwords,ateachercanbeaninstructional

designerwhenshe/heplansthecoursematerials,devisesthecriteriatobemettoaccomplisha

pedagogicalgoal,andsoon.Thesameteacherisatutorwhenshe/heinteractswiththeVLEtomonitorthe

students,andtoassesstheirresults.


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3

I-TUTOR

CONFIGURATION

CreatingthedocumentcorpusforbuildingtheI-

TUTORsemanticspace

OneofthekeyfeaturesinITUTORisthedomainconceptmap,whichformsthebaseforaseriesofmap

based visualizations that are related to monitoring both social and task completion activities of the

studentsaswellasenablingteacherselfreflectionaboutthehomogeneityofthematerialswithrespectto

thetopics

covered

in

the

domain.

Duetothemultilanguageimplementationrequirement,suchatoolreliesonstatisticalanalysisoftextthat

isbagofwordsapproach.Inparticular,LatentSemanticAnalysis(LSA)hasbeenused,whichisaimedat

buildingasemanticspaceextractedfromadocumentcorpusonthebasisoftheoccurrencefrequencyof

a set of meaningful terms in each document of the corpus. The map will depict emergent semantic

correlationsbetweensuchtermsduetothenumberofdocumentsdealingwiththem.

When creating a new ITUTOR course, some requirements have to be satisfied in order to generate a

correctsemanticspace.Weneedadocumentcorpusthatiswideenoughtogainstatisticalsignificancein

representingthecoursecontents.Tothisaim,suitabletoolshavebeendevelopedtocreatethecorpus.

Thisdocumentisaddressedtouserswithateacher/administratorroleinMoodle(i.e.thepersonincharge

tocreateanewcourse)andexplainstheuseofsuchtools.

Whena teacher/administrator createsanew ITUTOR course,Moodlewill insertautomaticallyahidden

databaseasasectionofthecourse.Alltheinformationneededtocreatethesemanticspacewillgohere.As

ahiddensection,thedatabasewillnotbevisibletothestudents.

Thedatabaseacceptsthreekindsofdocuments:

Definitions

Insights,i.e.documentsusedtodeepenthetopicscoveredinthecourse

Organization, i.e.documents insupportofcoursemanagement:courseschedules,administrative

stuffandsoon(notusedtobuildthesemanticspace)

Definitions are used to insert a brief description of a key concept to be dealt with and developed

throughoutthecourse.Eachdefinitionconsistsofthreefields:

Atitle,i.e.theactualnameofthekeyconcept

Afieldcontainingtagsforannotatingthekeyconcept

Atextfieldcontainingthedescriptionofthekeyconcept

Thenameofakeyconceptcanbeidentifiedwithasinglewordorevenwithamultiwordterm(maybeno

morethantwoorthreewords:i.e.knowledgebasesmanagement).Eachkeyconceptcanbeassociated


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withotheronesandwithotherterms.Tothisaim,theteacher/administratorcanassociatetothedefinition

a setof tags.Tagsareeithera singlewordoramultiword asexplainedbefore.Tags are separatedby

commas.Eventually,theactualdescriptionofthekeyconcept isinsertedintothedatabaseusingthetext

field.

Please,

record

your

tags

and

key

concepts

apartfrom

the

database,

and

use

them

to

annotate

each single section you create in your Moodle course. You will have to create a hidden label in

eachsectionthatwillbeusedtowriteacommaseparatedlistofeitherkeyconceptsortagsthat

aresuitedtothesection.

Insightdocumentshavetodealwithaspecifictopicinthecourse.Theyshouldbeinasufficientnumberto

allowtheITUTORsystembuildingacomprehensivedescriptionofthedomain.Eachinsightismadeby:

Atitle

Asetoftagsforannotation

Theactual

document

Titlesshouldbeexpressiveenoughtodescribethedocumentcontent.Eachdocumentcanbeassociatedto

other terms and/or key concepts that aremeaningful in the course domains. As a consequence, the

teacher/administratorhastoassociateasetoftagstothedocuments.Suchtagscanbeeithertagsandkey

conceptsalreadyused fordefinitionsorcompletelynewwords.Tagsaresubject to thesame formatting

conditions explained before: commaseparated list of singleormultiplewords (i.e. two or threewords

separatedbyablankspace).Finally,thedocumentisafilethatisuploadedontotheMoodleplatform.

Organizationdocumentsareusefulonly for the teacher tomanageher/his course: theyarenotdirectly

relatedwiththecoursedomainandtheyrenotusedtobuildthesemanticspace.

Criteriaforpreparingtextsanddocuments

Whenbuildingthedocumentcorpus,theteacher/administratorhastofollowsomeguidelines.Thenumber

ofdocumentstobeuploaded/wrote intheMoodleplatformmustbehighenoughtoensureastatistical

significanceof the LSA.Currently, a minimum of three hundred (300) documents is highly recommended.

Please,avoidinsertingentirebooksassingledocuments.Asageneralguidelineadocumentshouldcovera

welldefinedandprecisetopic.Inparticular,documentsand/ortextsrelatedtoakeyconceptmustbevery

precisedescribing

only

the

concept

itself,

while

documents

and/or

texts

related

to

an

insight

can

cover

more than a key concept. Returning to the book example, a good strategy could be to upload each

subsectiondealingwithaparticulartopicinsideachapterasaseparatedocument.

Thefollowingformatsarerecognized:

PDF;

Doc;

Txt;

PowerPoint.


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When youprepare texts directly either by typesetting them or cuttingandpasting them in the

textareasofthedatabasepleaseavoidpendinghyphenations,uselesspendingfigurecaptions,

pagenumbering,headersandfooters,andalltheformattingstuff.

SuchtextisallnoisefortheLSAengineandcandecreasedramaticallytheperformanceofthesemantic

spaceand

the

quality

of

the

maps.

We

acknowledge

that

such

problems

can

be

present

in

those

files

that

youdownloadfromotherinformationsources.

Managingmorethanonelanguage

Currently, creating a semantic spacemade by terms coming from different languages is not possible.

Please,ALLTHEDATABASECONTENTMUSTBEWRITTENINTHESAMELANGUAGE.

Inthisrespect,content is:titles,tags,definitiontexts, filecontents. Insomecoursedomainsthereare

termscoming froma languageother thanthecourse languagethatarerelevant for the teacherand the

learner.Youcancopewith this issueeither treating the termasadefinitionorasanexplicit tag. In the

formercase,theforeigntermwillbeplacedinthedefinitiontitle,whileinthelatteritwillbeplacedinthe

textfieldcontainingtagsaccordingtothetagwritingrules.Suchtermswillbeautomaticallyaddedtothe

vocabularyofthecourselanguage.Moreover,theyrerelevanttermsfortheteacher,andwillbepreserved

fromautomaticfilteringthatisusedtopreprocessdatawhenbuildingthesemanticspace.

Interactingwiththehiddendatabase

Thefollowing imageshowsthesectioncontainingthehiddendatabaseasitappearswhencreatinganew

course.

Clickonthedatabasename,andyoullobtainthefollowingscreen.

ClickontheAddentrytabandyoullbeableto insertadocumentbelongingtowhatevertypology into

thedatabase,i.e.definitions,insights,andorganizationdocuments.

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TheuserclicksontheTYPEpulldownmenu,andselectsoneofthefollowing:

Insights

Definitions

Organization

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Insertingadefinition

Theuserfillsthefollowingfields:

TITLE:thenameofthekeyconcepttobedefinedgoeshere;

KEYWORDS:commaseparatedlistoftagsmadebyeithersingleormultiplewords;

TEXT:directwritingofthedescriptionofthekeyconcept.

Insertinganinsight


TITLE:thetitleofthedocumentasexplainedabovegoeshere;

KEYWORDS:comma

separated

list

of

tags

made

by

either

single

or

multiple

words;

Moreover, theusers clicks on the Choose a filebutton,which allows searching a file in the local file

systemintheuserscomputer.

Insertinganorganizationdocument


TITLE:the

title

of

the

document

goes

here;

KEYWORDS:commaseparatedlistoftagsmadebyeithersingleormultiplewords;

Moreover, theusers clickson the Choose a filebutton,which allows searching a file in the local file

systemintheuserscomputer.

Exportingadatabase

Ahiddendatabasecanbeexported tomake itavailable forgenerating thesemanticspaceofanother I

TUTORcourse.

This

functionality

has

been

devised

for

all

the

courses

sharing

acommon

set

of

key

concepts

andterms.Moreover,itispossibletothinkaboutanextendeddatabaseforcreatingacommonsemantic

spacethatissharedbymanycourses.

ToexportanITUTORhiddendatabaseasanadminuser:

Clickonthedatabasename

ClickonthePresetstab

ClickontheExportbutton

ClickontheExportentriesbutton

Please,donotmodifyexportoptions.


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Importingadatabase

Theoverallimportprocedureconsistsofthreesteps:

1. Creatinganemptydatabase

2. LoadingthestructureiftheITUTORdatabaseinthenewdatabase

3. Loadingdata.

Inwhatfollowsthepreviousstepsaredetailed.

Creatinganewemptydatabase

1. Createanewsection

2. Clickon

the

Turn

editing

on

button

and

onthe

Add

an

activity

pull

down

menu

for

actually

addinganactivitytothesection

3. Selectthedatabaseitem

4. SelecttheHideitemintheVisiblepulldownmenuinsideCommonmodulesettings

5. ClickontheSaveanddisplaybutton

LoadingthestructureiftheI-TUTORdatabaseinthenew

database

1. Clickonthedatabasename

2. Clickon

the

Presets

tab

3. ClickontheChooseafilebuttoninsideImportfromzipfile

4. SelectthefileexportedpreviouslyITUTORDATABASEpreset******.zip

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Loadingdata

1. ClickonImportentriesintheSettingsblock

2. ClickontheChooseafilebutton

3. Selectthefileyouhadexportedpreviously

4. ClickontheSubmitbutton

5.

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Readingdata

1. Clickonthedatabasename

2. ClickontheViewlistor Viewsingletab

3. IfyoureceivethemessageListtemplateisnotyetdefinedthen

a. Clickontemplate

b. ClickonSavetemplate(donotmodifyoptions)

4. ClickagainontheViewlistorViewsingletab

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11

THEI-TUTORMAPSTHEORETICALBACKGROUND

I-TUTOR

Conceptual

Space

TheITUTORConceptualspaceisabidimensionalsemanticspaceofkeywordsextractedfromthe

hiddendatabaseandfromthedidacticaldocumentsofthecourse;thekeywordsareclusterizedin

groupsandthosewhichare intothesameclusterarewordswiththesamemeaning(theymean

the same thing). Clusters are distributed so that neighboring clusters in the space contain

correlatedwords,i.e.wordsthatdonotmeanthesamethingbuthavesomeconceptualstatistical

relation(itwillbemoreclearnext).

The Latent Semantic Analysis paradigm

TheITUTORConceptualspaceiscomputedapplyingtheLatentSemanticAnalysis(LSA),thatisa

paradigmtoextractandrepresentthemeaningofwordsbystatistical;wordswereferareboth

the keywords specified by user in the hidden database and the words extracted from the

didactical documentsuploaded in theMoodle platforms for the course.The LSA paradigm uses

matrixdatastructureforrepresentingdocumentsandtheirwords:generally,amatrixisagridof

cellsorganized inrowsandcolumns.Acell is identifiedby itscoordinates(i,j)where i istherow

andj the column.According to the LSA paradigm thedocumentscollection is represented as a

matrixAwhere

each

row

is

associated

to

aword,

and

each

column

is

associated

to

adocument.

Thecontentofthe(i,j)thcellofAisaweightoftheithwordfrequencyinthejthdocument;this

weight is initially the number of times given words appears in the document.

IntheLSAparadigmthematrixAisthenapproximatedbythesingularvaluedecomposition(SVD)

technique (Landaueretal.1998) for reducing itsdimensions.Thisdecompositionoutputs three

differentmatrix and it aims to capture themajor associational structure in thematrix A and

removesthenoisegivenbytheaccidentalvariabilityoftermsappearinginthesamecontext.After

theseprocesses,eachwordisrepresentedbyavector,thatisarowofaspecificmatrixoutputted

fromtheSVDprocess.Thesetofthesevectorsistheconceptual/semanticspace.

Thesemanticspacecanbecreatedwheneveruserwants.Shecan insertnewkeywordsornew

documents and chooses to rebuild the semantic space when she considers it necessary.

Alternatively,only fordocumentsshecanproject them in thespacewithoutrecomputing it,as

will bemore clear follow. For keywords instead, she can change theweights theyhave in the

dssheretainsmoresignificant.space,highlightingthewor

The SelfOrganized Maps

Forclusteringkeywordsanddocumentsrepresentedasvectorsandforshowingthembyamap,a

selforganizingneuralnetwork,andinparticulartheselforganizingfeaturemap(SOM)isused.


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In thisneuralnetwork,neuronsareorganized ina lattice,usually inaone or twodimensional

space;usingatwodimensionalSOMnetwork,itispossibletoobtainamapofinputspacewhere

closeness betweenunitsor clusters in themap represents closeness of the input vectors. This

network has been used to classify information and documents in "informationmaps" in the I

TUTORConceptual

space

created

by

performing

LSA

on

the

various

corpora

of

learning

materials.

Asaconsequence,twodocumentswhosesemanticsisclose,areputtogetherinthesamecluster.

Givenasemanticspace(theLSAandthecorrespondentkeywords),theSOMcanbeused intwo

differentway:

1) forcing learning: in this case the neurons are trained for recognizing input and a new

classification ismade. Itmeans that the inputvectorsareusedas learningsetandSOM

buildsits"memory"forclusteringnewinput.WemeanthisstepasnewSOMcreation,and

allowsuser tocreatedifferentclustersdistributionon thesemanticspaceonwhichnext

classifythe

documents;

2) clustering input: in thiscase,givenaSOM (whenneuronsarealready trained), the input

vectorsareclassifiedby theSOM itself. In the ITUTORplugin,usercanchoose theSOM

shebuiltandprefers.Documentswillhavedifferentdistributioninthespaceaccordingto

theselectedSOM.

TheoutputoftheSOMprocessistheITUTORConceptualspacethathasthreelevelsofdepth;the

keywordsathighlevelshavehighweightsrespecttowordsatlowestlevelsandsotheyaremost

frequents. User can modify this distribution according her evaluations, as next shown. The

bythe

ITUTOR

Conceptual

Map.

Conceptual

space

is

represented

The ITUTOR Conceptual Map

The ITUTORConceptualMap isagraphicalrepresentationofaSOM. Inparticular, the ITUTOR

ConceptualMaplooksasfollow:


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Themaphasalatticebackgroundofrectangleswithsamewidthandheight,oneforeachneuron

oftheSOM.Forexample,inthefigurethemaprepresentsaSOMwith25neurons(5rowsper5

columns).Themapalsoshows theclustersgeneratedbytheSOMclassification;acluster in the

mapisthesetofcellswiththesamecolor.Theformofaclusterdependsbythecellsofwhichis

composed. Different shades of color for the same cluster means the documents distribution

amongthe

cluster

itself.

In

particular,

acell

with

more

documents

has

more

luminance

than

othersinthesamecluster.Lowluminancemeansthattherearefewerdocuments,highluminance

meansthattherearemanydocuments.

Once yourmousehover isonacluster,a labelwith thekeywords for thecell is shownon the

eights.mousehover,orderedaccordingtotheirw

Managing the ITUTOR Conceptual Map

Themain featureof the ITUTORMapplugin is thepossibility to tailor the ITUTORConceptual

space(LSA,

Keywords

weights

and

SOM),

hence

the

correspondent

map:

user

can

create

different

conceptualspacesmapsandshecanmanipulatetheITUTORConceptualspacecomponentsuntil

she finds the conceptual map she enjoys. Once a conceptual map is chosen, each other

functionalitieswillrefertoit.Inparticular,aconceptualmapmaybemanipulatedthrough:

1) newconceptualspacedefinition:itmeansanewLSAcomputation.Thistaskisusefulwhen

theunderlyingdataaremodified(newkeywordsordocumentsareuploadedinthe

platform)andanewconceptualdistributioncouldberequired;

2) newSOMdefinition:chosentheconceptualspace(theLSA),usercantrainanewSOMfor

recomputing

the

clusters

of

documents.

This

task

modifies

only

the

cluster

distribution

on

theconceptualspace,butnotthesemanticspacefromLSA;

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3) newweightdefinitionforkeywords:chosetheSOMandhencetheclustersdistribution,

usercanmodifytheweightofthekeywordsinthespacewiththeaimtohighlightsome

wordsrespecttoothersbringingthemathighlevelsofthemap.

Themapcanalsobemodifiedwhennewdocumentsareuploaded in theplatform. In thiscase

usercanmaketwodifferentchoices:

1) useaspecificsemanticspaceandaSOMandprojectthenewdocumentsinthisspace(the

documents are automatically clustered in the space by SOM); this projection will not

modifythesemanticspace;

2) buildanewsemanticspace (andsoanewSOM) thatwill include thenewdocuments.A

newspaceiscreatedconsideringtheeffectsofthesenewdocuments.

I-TUTORActivitySpace

TheITUTORActivitySpaceisgeneratedwhendocumentsrelatedtothestudents/classesactivities

areprojectedintheITUTORConceptualspace.Inparticular,thedocumentswereferarecalledas

activitydocuments(fordistinguishingthemfromthedidacticalones)andaredocumentsretrieved

fromtheMoodledatabaseandrelatedtoforum,wikispagesandeachotherdocumentsthatthe

studentsor groupsof students insert into theplatformduring the course (asheranswers to a

questionnaire). The underlying semantic space and the SOM are computed as shown in the

previous step, andonly newdocuments areprojected in the conceptual space selectedby the

user. The activity space is graphically represented as the conceptual one, with the obvious

differenceof

the

colors

of

the

cells,

because

in

this

case

there

are

more

documents

that

are

not

consideredintheconceptualcaseandmorecellsarefilledtroughdifferentlevelsofgray.

ThroughtheITUTORActivityspace ispossibletomonitorthedistributionamongtheconceptual

space of the students (or groups of students) activities, and both tutor and student can take

ptualdislocationduringthecourse.cognizanceabouttheirconce

The ITUTOR Activity Map

The ITUTORActivityMap graphically represents the ITUTORActivity space.As forConceptual

Map,it

is

aset

of

clusters

with

different

colors.

UsingtheMaps

The ITUTORpluginprovidesa functionality forobservingsomedocumentsdistributiononboth

conceptualand activity spaces; it isuseful forexample for tutorwhen shewants tomonitor a

particularstudentorgroupofstudents,watchingthedislocationoftheiractivitiesinthespace.

Inparticular,

atutor

can:


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1) view the distribution among the full didactical documents in the conceptual space of a

particularsectionofthecourse;

2) viewthedistributionamongthefulldidacticalandactivitydocumentsintheactivityspace

of the activity documents of a particular student; in thisway the tutor can view the

student'spartecipation

in

forum

or

wikis,

or

her

progression

in

the

study

of

the

didactical

documents;

3) viewthedistributionamongthefulldidacticalandactivitydocumentsintheactivityspace

oftheactivitydocumentsofaparticulargroupofstudent;inthiswaythetutorcanview

thegroup'spartecipationinforumorwikis,oritsprogressioninthestudyofthedidactical

documents.

At the other side, a student can view the distribution among the full didactical and activity

documents in the activity space of her activity documents; in this way she can evaluate her

partecipation

in

forum

or

wikisor

her

progression

in

the

study

of

the

didactical

documents,

motivatingtheselfregulationlearning.

Themarkeradopted forhightlighting thecells involved isGoogleMapmarker likeand looksas

follow:

The dimension of themarker for a cell depends by thepercentage computed considering the

number

of

the

involved

documents

on

the

total

documents

contained

in

the

cell

itself.

In

particular:

1) for a student, the involved documents are related to the student himself; they are the

forumpages studenthaspartecipatedandwikipagesand thedidacticaldocuments she

hasopenedatleastonce;

2) foragroupofstudents,theinvolveddocumentsarerelatedtothegroupofstudents;they

aretheforumpagesthestudentsofthegrouphavepartecipatedandwikipagesandthe

didacticaldocumentsstudentsofthegrouphaveopenedatleastonce;

3) forasection,theinvolveddocumentsarethedocumentsuploadedbytutorinthespecific

section.

TheseinformationareextractedfromMoodledatabaseandareretrievedontheflyeachtimethe

userwantsknowthedistributionofinvolveddocumentsinthesemanticspace(activityspacefor

thefirsttwocases,conceptualspaceforthelast).Thedistributionishighlightedmarkingthecells

that contain documents by one markerwith specific dimension that depends by the defined

percentage.Thepercentageisalsorepresentedintotalactivityfieldofthelabel.

Forexample, inthenextmapsomecellsaremarkedbysmallestmarkers; itmeansthat inthese

cellstherearesmallpercentagesofinvolveddocumentsrespecttothetotalnumberofdocuments

containedin

the

cell

itself

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TEACHER/ADMINMANUAL

InthissectionwewillexplainhowtouseITUTORmapsplugin.

Inordertousethisplugin,theloggeduserneedstoclickontheITUTORMapsPluginblock,available

insideacourse,usuallyonthetopleftposition.

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TheITUTOR

plugin

block

contains

four

main

links,

the

first

one,

I

TUTOR

Maps

once

clicked

will

open

ablankpagecontainingtheITUTORMapsmainpage.

TheITUTORpluginaimsMoodleuserstocreatetheconceptualandactivityspacesonwhichshe

canmanage,monitorandretrieveinformationabouthercourseanditsparticipants.

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TheITUTORmapsmainpagelooksasfollow;amenubarallowstoaccesstothemainITUTOR

pluginfunctionalitiesandithasfouroptions:"ConceptualMap","ActivityMap","UseMaps"and

"Snapshots".

The "ConceptualMap"widgethas adropdown submenuwith the "GenerateConceptualMAP"

and "Archive MAPS" options. First functionality allows to create a new semantic space for

generating conceptualmaps. This task creates the set of clusters of documents according to a

contentbasedapproach:aweightgiven tothewords inthedocumentsdeterminestheclass to

whichadocumentisassigned.Thisweightisinitiallythenumberoftimesgivenwordsappearsina

document.Thenweightcanbethenmodifiedaccordingyourneedsandevaluationsthroughthe

specificpluginfunctionality.DuringthistaskrelevantwordsaredistributedinthebidimensionalI

TUTOR semantic space: itmeans thatneighboringwords in the space arewords thathave the

samesemanticsense.

ConceptualMapfunctions

ConceptualMap

option

opens

adrop

down

menu

that

allows

to

manage

all

funcionalities

related

totheITUTORConceptualmaps.Inparticular,usercangenerateaconceptualmaporretrieved

oldconceptualmapsfromthearchive.

TheoptionGenerateConceputalMAPallowsusertoperform4differentactions:

1) CreateanewMAP;itcreatesofanewconceptualspace,sobothanewsemanticspaceby

LSAandanewSOMarecomputedbasingonthestateofthehiddenandMoodledatabase

atthemomentofthiscreation;

2)

Extend

MAP:

it

adds

new

documents

to

the

existent

conceptual

space,

projecting

them

in

themapanddoesnotrecomputetheunderlyingspace;

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3) CustomizeMAP:itallowsusertotailorthemapaccordingherevaluationsandneeds.Forviewinganewconceptualmapusercancombinethemainfeaturesofthemap;shecan

arrangeanexistentsemanticspace,anexistentSOMandanexistentlistofkeywordswith

aweightdistributionandviewtheresults;

4) RedrawMap: itallowsusertomodifytheweightsofthekeywordsformanagingtheirlevelsdistributioninthemap.

Eachpointisnextdescribed.

ConceptualMap GenerateConceptualMAPOption

NewMAPstepbystep

1.AnewLSAandanewSOMwillbegenerated

consideringthehiddenandMoodledatabaseat

thismomentandanewITUTORConceptualMap

iscreated.

2. ITUTORasksconfirmationaboutthisoperation.

3.DuringMapgeneration, ITUTOR

alerts you to wait the end of all

computations (LSA and SOM

creations).

4.

When

I

TUTOR

ends

the

process,

it

asks

you

to

give

a

name

to

this

new

conceptualmap.

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5.Thenew

conceptual

mapisthen

stored,anda

messageof

successfully

creationis

shown.

6.Next,ITUTORalertsyouthatthecorrespondentactivityspacewillbecreatedandremember

youthatyoucanchangetheconceptualandactivitymapthroughthecorrespondentfunctionality.

20

6.1OnceyouclickOK,ITUTORtellsyou

towait

the

end

of

the

process

(the

activityspacecreation,i.e.the


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projectionoftheactivitydocumentsontheconceptualspacenewlycreated).

6.2AttheendITUTORasksyoutospecifyanameforthisnewactivity

map

6.3...andstoresitinitsarchive.

ExtendMAPSTEPBYSTEP

1.ForprojectingintheITUTORSemantic

spacenewdocumentsuploadedinthe

platformafter

space

creation,

you

can

select

ExtendMapoption.

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2.ITUTORallows

youtoselectthe

documentsyou

wantaddinthe

existentsemantic

space;after

document

selection,ITUTOR

projectstheminto

thespacebySOM,

andyoucannext

view

the

new

documentsinthe

map.

CustomizeMAPstepbystep

1.OnceyouselectedCustomizeMapinthedrop

downmenu....

2....ITUTORhelpsyoufortailoringyour

idealmap;youfirstmust choosethe

semanticspace

computed

by

LSA

amongthatyouhavepreviously

created.

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3.ITUTORshowsyoualistofsemanticspacesbuiltuntilthatmoment(orderedbyname,data

creationandthecorrespondentmapscreatedbasingonit,thatcanbeconceptual,socialorother

withprojected

documents).You

canchoose

one

of

thesespacesby

buttonradio,and

thenyoucan

submityourchoice

Afteryour

submission,I

TUTORkeeps"at

mind"theSeman

spaceyou

have

chosen

23

.

tic

fornext

steps.

sele

Key

p

therea

willrefertothem.

4. ITUTOR

reportsyouthe

semanticspace

ctionadding

theredLSA+

wordspuzzle

iecesinthe

interface.It

meansthatonce

youhavechosen

asemanticspace,

reasetof

keywords

computedbythis

LSAandnextyou


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5.Nextyoucanmodifytheweightdistribution,changingtheweightforthekeywordsyouwant.

5.1. Clickingonthenoteiconyoucanmodifytheweightforthe

correspondentword

5.2.Alistofpossibleweightallowsyoutosetamorehighorlow

weightthanthecurrent.

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5.3. ITUTOR

reportsyou

theweight

modification

addingthe

yellow.

Weightpuzzle

piecesinthe

interface.

6.Next,youcan

choosetheSOM

amongthose

previouslycreated;in

thiswayyoucan

selectonewayfor

clusteringyour

documents.The

semantic

space

is

fixed,anddifferent

clustersdistribution

canmadeonit

throughdifferent

SOM.ITUTORshows

youthelistofall

existentSOMforthe

chosensemanticspace.

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7.Finallyallcomponents

aredefinedsoyoucan

generatethemap

accordingthepreference

youhaveselected.Your

idealmapistailoredand

youcanviewitintheI

TUTORarchive.

RedrawMapSTEPBYSTEP

1.OnceyouhaveselectedRedrawMAPoption

fromdropdownmenuyoucancomputed

differentclusterdistributiononthesame

semanticspace(LSA).Aclearexplanationis

showntoyouinthe

interface.

26

2.Onceyouhaveselected

thesemanticspace,you

cantrydifferentSOM


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distribution,learninganewSOM.

3.Asmallmappreviewis

shownforviewingthenew

clusterdistribution,

and

for

allowingyouthechoicethe

regionshapeyouenjoy.

ArchiveMAPSOption

1.OnceyouselectArchiveMAPoption

2.ITUTOR

wsyoualist

ofall

conceptual

mapsandyou

canviewoneof

themby

clickingonthe

sho

27


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correspondenteye.

3.The

correspondentI

TUTORconceputal

Mapisshownand

youcanbrowseit

usingarrows

or

clickingonitto

zoomazone.

Thereare3leve

ofzooming.Als

thereisalevel

wheretheof

documents

containedinthe

zoomedcell

are

listed.

les

o,

ActivityMapfunctions

ThesecondfunctionalityinthemainpageofIItutorpluginistheActivityMapoption,thatallows

youtousetheactivitymap.Therearetwosuboptions:ExtendMAPandArchiveMAP.

ConsideringthattheactivityMAPisautomaticallycreatedforeachconceptualmap,throughthis

functionyoucanusethecurrentactivitymap(thatistheactivitymapcorrespondenttothe

currentsetconceptualmap).

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ExtendMAPOption

Usethisoptiontoprojectnewactivitydocumentsintoanexistentactivitymap.

1.ITUTORshows

youalist

of

the

activitymaps.You

canchoosethe

mapyouwantto

extendandI

TUTORaddstoit

thenewactivity

documents.

ArchiveMAPSOption

Usethisoptionforviewinganactivitymap.

1.ITUTORshows

youalist

of

all

activitymaps.

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2.Clickontheeyeiconforviewingaspecificactivitymap

30

3.andITUTOR

showsyouthe

correspondent

map.Youcan

browse

it

through

thearrowsand

clickingonthecell

forzooming

fortheconceptua

map,theactivity

mapmaybe

zoomedto3lev

ofdepth;thereis

alsoaforthlevel

thatshows

the

list

ofdocuments

containedinthe

s

.Like

l

els

zoomedcell.

UseMAPfunctions

Onceyouhaveselectedthisoption,adropdownmenushowsyou4differentactions:

base.The

activity

map

is

the

ITUTOR

Conceptualmapwithactivitydocumentsprojected;

rtecipation in forum or wikis, or her progression in the study of the didactical

documents;

group'spartecipationinforumorwikis,oritsprogressioninthestudyofthedidacticaldocuments;

1)Domain:forviewingthecurrentconceptualmapandactivitymap.Theconceptualmapisthe

mapof

the

course

you

have

selected

(or

tailored)

as

map

2)Student: forviewingtheactivitydocumentsdistributionamong the fulldidacticalandactivity

documents intheactivityspaceoftheofaparticularstudent; inthiswaythetutorcanviewthe

student's pa

3)Group: for viewing the activitydocumentsdistribution among the fulldidactical and activity

documentsintheactivityspaceofaparticulargroupofstudent;inthiswaythetutorcanviewthe


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4)Section:forviewingthedistributionamongthefulldidacticaldocumentsintheconceptual

spaceofaparticularsectionofthecourse.

Domain

ConceptualMAPS

option

ITUTORshowsyouthe

currentsetconceptual

mapandyoucanbrowse

it.

Domain ActivityMAPoption

ITUTORshowsyouthecorrespondentactivitymaptothesetconceptualmapandyoucanbrowse

it.

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studentactivity,asexplainedintheColoringtheMapsection.Inparticular,theConceptualview

showstheconceptualmappaintedaccordingtothepercentageofclickeddocumentbystudent,

whiletheActivityviewshowstheactivitymappaintedaccordingtothepercentageofactivity

documentsofthestudent,asshown.

2.ClickonthefoldericontoviewthepaintedConceptualMapofastudent

2.1 ITUTORshowsyou theconceptualMapof thecorrespondentstudentpaintedaccording to

thepercentageofthedidacticaldocumentsonwhichstudenthasclickedamongthetotalnumber

ofdidacticaldocumentscontainedinthecell.

3.Click

on

the

chat

icon

to

view

the

painted

Activity

Map

of

astudent

3.1ITUTORshowsyoutheActivityMapofthecorrespondentstudentpaintedaccordingtothe

percentageof

documents

related

to

the

student

among

the

total

number

of

activity

documents

containedinthecell.

4.Foreachkindofmap,youcanfrozenthemapitselfclickingonthephotoicon

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4.1ITUTORasksyoutospecifyanameforthephotoyouwanttostoreandthen

youcanfinditamongthesnapshotsinthespecificSnapshotfunctionnext

described.

GroupOption

1.ITUTORshowsyoualistofthegroupsofstudentsofthecourseandyoucanviewforeachof

themtheconceptualoractivitymaps,paintedaccordingtothegroupactivity,asexplainedinthe

ColoringtheMapsection.Inparticular,theConceptualviewshowstheconceptualmappainted

accordingtothe

percentageof

clicked

documentby

full

group,whilethe

Activityview

showsthe

activitymap

painted

accordingtothe

percentageof

activity

documentsof

thegroup,as

shown.

2.ClickonthefoldericontoviewthepaintedConceptualMapofagroup

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2.1ITUTORshowsyou

theconceptualMapof

thecorrespondent

studentpainted

accordingto

the

percentageofthe

didacticaldocuments

onwhichstudenthas

clickedamongthetotal

numberofdidactical

documentscontained

thecell.in

the

cell.

4.Foreachkindofmap,youcanfrozenitclickingonthephotoicon

3.ClickonthechaticontoviewthepaintedActivityMapofagroup

3.1ITUTORshows

youtheActivity

Mapof

correspondent

grouppainted

accordingtothe

percentageof

documentsrelated

tothegroupamong

thetotalnumberof

activitydocuments

containedinthe

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4.1ITUTORasksyoutospecifyanameforthephotoyouwanttostore

itamongthesnapshotsinthespecificSnapshot

Sectio

d

documentsintheconceptualspace

ofaparticularsectionofthecourse.

1.

youa

sectionsofthe

course

.Clickontheeyeiconforviewingaparticularsection

andthenyoucanfind

nctionnextdescribed.

fu

nOption

Usethisoptionforviewingthe

istributionamongthefulldidactical

ITUTORshows

listofall

2

36


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3.ITUTORshowsyoutheconceptualmapfortheselectedsection,thatispaintedaccordingto

thepercentageofdidacticaldocumentsofthesectionamongalldidacticaldocumentscontained

functionalityforretrievingyourfrozenmaps.

TUTORhelpsyouintheretrievalbecauseheordersthesnapshotsfortypology.Soyoucan

choosetoviewfrozenmapsaboutthedomain(conceptualoractivity) oraboutstudentsorabout

Domain ConceptualMAPSoption

1.ITU

y

frozenconce

maps.Clickonthe

eyeiconfor

retrievingthe

map.

ActivityMAPSoption

inthecell.

Snapshotfunction

Usethis

I

groups.

TORshows

oualistofall

ptual

Domain

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38

maps.

forretrievin

themap.

tudentoption

1.

which

you

have

frozenmaps.

thefoldericonforretrievingallfrozenconceptualmapsforaspecific

student.

1.ITUTOR

showsyoua

listofall

frozenactivity

Clickon

theeyeicon

g

S

ITUTORshowsyoua

listofstudentsfor

2.Clickon


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2.1.ITUTOR

showsyouall

frozenconceptual

mapsforthe

selectedstudent.

Clickontheeye

iconforretrieving

aparticularmap.

3.Clickonthe

chaticonforretrievingallfrozenactivitymapsforaspecificstudent.

3.1.ITUTOR

showsyou

all

frozenactivity

mapsforthe

selectedstudent.

Clickontheeye

iconforretrieving

aparticularmap.

GroupOption

39


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1.ITUTORshowsyoua

listofgroupsforwhich

youhavefrozenmaps.

2.Clickonthefoldericonforretrievingallfrozenconceptualmapsforaspecific

group.

2.1.ITUTORshowsyouall

frozenconceptualmapsfor

theselectedgroup.Clickon

theeyeiconforretrievinga

particularmap.

3.Clickonthechaticonforretrievingallfrozenactivitymapsforaspecific

group.

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3.1.ITUTOR

showsyouall

frozen

activitymaps

forthe

selected

group.Click

ontheeye

iconfor

retrievinga

particular

map.

STUDENTMANUAL

InordertouseITUTORplugin,theloggedstudentneedstoclickontheITUTORMapsPluginblock,

availableinside

acourse,

usually

on

the

bottom

left

position.

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TheITUTOR

plugin

aims

student

to

create

her

conceptual

and

activity

spaces

on

which

she

can

monitor

andretrieveinformationaboutherdidacticalactivities.

TheITUTORmapsmainpageforstudentlooksasfollow;amenubarallowstoaccesstothemainITUTOR

pluginfunctionalitiesandithastwooptions:"UseMaps"and"HistoricalSnapshotsMaps".

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UseMAPfunctions

Onceyouhaveselectedthisoption,adropdownmenushowsyou2differentactions:

1)ConceptualMaps:forviewingtheconceptualmapwiththedistributionofthedidacticaldocumentsyou

havestudied;themapiscoloredaccordingtowhatexplainedinthepreviouslysection(Coloringthemap).

TheconceptualmapisrelatedtothecourseyouhavepreviouslyselectedontheMoodleplatform;

2)ActivityMaps:forviewingyouractivitiesinthecourse.ItistheITUTORActivitymapcoloredconsidering

thedistributionofyouractivitydocuments.

ConceptualMAPSoption

ITUTORshowsyouthecurrentconceptualmapandyoucanbrowseit.Mapiscoloredaccording

tothepercentageofdidacticaldocumentsyouhaveclickedamongalldidacticaldocuments

uploadedontheMoodleplatformbyyourteacherforthecourse,soyoucanviewyourdislocation

intheconceptualspace.(seeColoringMapssection)

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44

ActivityMAPSoption

ITUTORshowsyouthe

currentactivitymapand

canbrowseit.Mapis

coloredaccordingtothe

percentageof

your

activity

documentsamongall

activitydocuments,soyou

canviewyourdislocationin

theactivityspace.(see

ColoringMapssection)

you


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Inbothsectionyoucanfrozenthemapclickingonthe"photo"iconforretrievingit

next.

Onceyouhaveselectedthe"photo"icon,ITUTORasksyoutospecifyanamefor

thesnapshotmapyouwantsave.

HistoricalSnapshotsMapsfunctions

Thisoptionallowsyoutoretrievethesnapshotsofthemaps(bothconceptualandactivity)youhave

previouslyfrozen;inthiswayyoucanseeyourprogressionandparticipationatthecourse.Onceyouhave

selectedthisoption,adropdownmenushowsyou2differentactions:"ConceptualMaps"and"Activity

Maps"options.

ConceptualMapsoption

Withthisoptionyoucanretrievetheconceptualmapsyouhavefrozen.

ITUTORshowsyoua

listoffrozen

conceptualmaps

withthenamesyou

havepreviously

entered.

Justclickontheeye

iconforviewingthe

map;youcanalso

deleteitclickingon

"cross"icon.

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ActivityMapsoption

Withthisoptionyoucanretrievetheactivitymapsyouhavefrozen.

ITUTORshows

youalistof

frozenactivity

mapswiththe

namesyou

have

previously

entered.

Justclickonthe

eyeiconfor

viewingthe

map;youcan

alsodeleteit

clickingon

"cross"icon.

Forbothoptions,onceyouhaveclickedon"eye"icon,theselectedmapisshown

46


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MONITORING

OnceyouclickonthemonitoringlinkintheITUTORplugintheMonitoringpageopens.Themonitoring

componentallowsvisualizationofdifferentindicatorsofthestudentsperformanceextractedbythe

clusteringengine.

TheMonitoringpagecontainsalistofactivities.Foreachofthemyouseeagraphicviewofthemain

studentclusters.

Clickonthelensiconforviewingtheactivityofyourinterest.

Activitiesare:

AssignmentSubmissions

ChatMessages

Comments

Files

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ForumDiscussions

ForumPostsResponder

ForumPosts

GradeGrades

Grade

Grades

Participation

Log

Message

MessageRead

MessageReadTo

MessageTo

MyPages

Post

QuizGrades

Tag

UserLastAccess

Overall

OverallActivities

OverallMarks

Therearealabelforeachcluster(thatareatmost4):notatall,low,onaverage,andhigh.

Bothhistogramandboxplotvisualizationareprovidedforeachclusterrelatedtoaindicator:boxplots

depictthequartilesofthepopulationgroupedineachcluster.Eachclusterisclickableinthetwocharts,

andprovides

the

complete

list

of

its

students

belonging.

Finally,

aparticular

student

name

can

be

selected

fromadropdownlisttoreadher/hisindicatorvalue.

Forexample,theactivityForumPostsshowstheactionsofthestudents,organizedingroups,asregards

theforummessages.

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Onceyouclickonacluster,alistofstudentisshown.Selectastudentinthelistforviewinghis/her

indicatorvalue.

Withthisgraphicalviewyoucaneasilyunderstandwhichstudentgroupsspentmoretimethanotherones,

onacertainactivity.

Alsoavisualizationhasbeenimplementedinthesameinterfaceforviewingthestatisticaldispersionof

StudentsinEachCluster.Youcanaccesstothisvisualizationscrollingthelateralbarofthewindows.

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Profiling

ForaccessingtoprofilingfunctionalityyoumustclickonProfilinglinkintheITUTORplugin.

Theprofilingcomponenthasbeenimplementedinthesamewayasthemonitoring.Onceyouaccesstothis

functionality,alistofstudentisshown.Selectoneofthemforviewinghis/herindicatorvalues.

Aradarchartdepictsthecomparativeperformanceofastudentw.r.t.asetofindicators.Thewideristhe

areaofthechartthebetteristhestudentsperformance.Thecomponentisabletoshowwhateversetof

indicators.

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Timelineview

Thetimelineviewofpersonallogsdependsontheclusteringagentbeinginstalledandrunning. Itis

possibletoseeasampletimelineviewiftheMoodleadministratorshaveinstalledthedatabasetablesand

sampledata. Thesampledataprovidesaroughideaofthesortofinformationtheviewwillshow:

Thegraphshowstheindividualslevelofactivityforaspecificmetricbydefaultthegraphshowsforum

posts. Thisinformationisshownastheblackline,althoughtheactualdatapointsaremarkedwithred

circles(theblacklineistoprovideasenseofcontinuitybetweenthetimeswhentheclusteringagentruns).

Thebandsofcolourrepresentthedifferentclusters. Inthiscase,eachribbonofcolourshows1standard

deviationswidthawayfromthecentrallinewhichisthemeanvalueofthemetricforthatclusterof

students.

Thestudent

in

the

sample

data

was

about

average

in

the

lowest

activity

cluster

for

the

first

couple

of

measurements,andthenstartedengagingwithothersontheforums,reachingandbrieflyexceeding,the

averagenumberofforumpostsofthemosthighlyactivecluster,beforetailingoffonthelastday.

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Options

Asatutor(orotherpersongrantedthereport/plog:viewcoursecapability)youwillhavetheoptionof

choosingwhichusersdatayouwishtosee. Asastudent(orotherpersongrantedthe

report/plog:viewowncapability)

you

only

get

to

choose

the

time

period

and

which

metric

to

display:

ThesereportscanbeaccessedusingtheURL:

/report/plog/index.php

Thiswilldefaulttoshowingthevaluesfortheloggedinuser,forthecoursetheyaccessedthereportfrom.

Thesampledataisavailableat/report/plog/index.php?test=1

Ifatutorwishestolinktospecificcharts,theURLcanbecopyandpastedfromthebrowsersaddressbar,

orbuiltupusingthevaluesoftheparameters. Thisinformationcanalsobeusedforbuildingmoodle

blockstolinktospecificcharts.

Forexample,

/report/plog/index.php?student=49&startdate=1379376000&metric=forum_posts

Willgivethechartforthestudentwithid=49,startingon17September2013(thesedatesareeasiestto

createusingtheforms!),andwillshowtheforum_postsmetric.

Installation

ThereportplugincanbeinstalledbycopyingtheplogfolderintotheMoodlereportfolder,andvisiting

/admin/index.php

andfollowingnormalprocedures. However,currentlyonversion2.4.1ofMoodle,thecapabilitysettings

arenotcorrectlyloading,andamanualinterventionhastobeperformedtocreatethesettingsinthe

database(this

is

not

the

case

in

version

2.5+).

A

SQL

script

(export

from

mysql)

is

included

in

the

plog.tar

file.

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Ifyouwishtomakethetestdataavailable,thereare3SQLscriptswhichcreatethesampledatarecords.

NOTEhowever,thatcluster_runs.sqluseshardcodedidvalues(theothersrefertothese)soDONOT

installthesescriptsifyoualreadyhavecluster_runswithidvaluesbetween105and112inclusive,without

editingthesevaluesinallthreeclustertestdatascripts(cluster_runs.sql,cluster_stats.sql,

cluster_user_clusters.sql).

Thenatureofthetimelinegraphissuchthatitrequireshistoricaldatatoprovideameaningfuloutput. Itis

recommendedthatitisonlyusedaftertheclusteringagenthasrun3ormoretimestoprovidethat

historicalcontext.

Alerter

EnabletheITUTORProfilerblockinthecourseinwhichyouwishtousealerting.

Click

on

the

configuration

icon:

Theconfigurationpagewillbeshownnote,thisisonlyseenbytheteacher/admin,thealerterdoesnot

haveauserinterfaceforstudents,soyoucanhidethisblockonceyouhaveconfiguredthealertsyouwish

touse.

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Here

you

may

choose

when

you

want

the

alert

to

be

generated,

which

type

of

alert

you

wish

to

create,

and

whichmetrictobasethealerton.

Forinstance,youcanselecttohaveanalertifthestudentisintheZerocluster,(noactivity),orinthe

bottom10%. YoucanchoosewhethertoalertonQuizscores,anyactivity,posts,etc.

Youcanalsoconfigurewhatthemessageshouldsay,andwhethertosendittoyourself,ortothestudent

towhomthealertrelates.

Forexample:

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Onceyouhavesetupthebasicsettingsforthealert,thebottomhalfofthepagegivessomemore

advancedsettings,andtheopportunitytosavethealertsothatitwillmonitorstudentactivity:

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Ingeneral,itisOKtoleavethesesettingsastheyare,andclickSavechanges.

Whenyounextclickontheconfigurationicon,youwillseealistofalertsatthetopofthepage:

Youcancheckthesummaryofthedetails,andifyouuncheckthecheckbox,thealertwillbedeletedwhen

youclickonthesavechangesbutton.

Ifyousetupmultiplealerts,pleasebeawarethatstudentswhotriggereachcriteriawillbesentanemail

foreachonesoifyouhavealertsforbothZeroandlowest10%foreachofthecriteria,andastudent

neverlogsin,theywillreceive2emailsforeachcriteriatoalertthemthattheyhavenotbeentaking

advantageof

the

system.

It

is

probably

better

to

configure

asmall

number

of

alerts,

to

avoid

bombarding

students!

Installation

Requirements:Java

Thealerterinstallstheclusteringagent.

Installby

extracting

the

Alerter

folder

in

to

the

Blocks

folder

of

your

Moodle

installation.

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58

Furthermorethesystemadministrator needtorunthesedatabasescripts:

CREATETABLE`cluster_runs`(

ìd`bigint(20)NOTNULLAUTO_INCREMENT,

`date`timestampNOTNULLDEFAULTCURRENT_TIMESTAMP,

`courseid`bigint(20)DEFAULTNULL,

`clusteringname`varchar(100)COLLATEutf8_unicode_ciDEFAULTNULL,

`maxClusterìnt(11)DEFAULTNULL,

PRIMARYKEY(ìd`)

)ENGINE=AUTO_INCREMENT=1DEFAULTCHARSET=utf8COLLATE=utf8_unicode_ci

CREATETABLE`cluster_stats`(


`clusterid`bigint(20)DEFAULTNULL,

`clusterìnt(11)DEFAULTNULL,

`mean`decimal(20,4)DEFAULTNULL,

`stddev`decimal(20,4)DEFAULTNULL,

PRIMARYKEY(ìd`)


CREATETABLE`cluster_user_clusters (


`clusterid`bigint(20)DEFAULTNULL,

ùserid`bigint(20)DEFAULTNULL,

`clusterìnt(11)

DEFAULT

NULL,

`value`decimal(20,4)DEFAULTNULL,


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59

PRIMARYKEY(`id`)



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Intelligent Tutoring for Life Long Learning

That is all...hat is all...Enjoy the I-TUTOR plugin!njoy the I-TUTOR pluginThat is all...hat is all...Enjoy the I-TUTOR plugin!njoy the I-TUTOR pluginThat is all...Enjoy the I-TUTOR plugin!