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1、EducationalConceptMapsforPersonalizedLearningPathGenerationGiovanniAdorni(✉)andFrosinaKoceva(✉)DepartmentofInformatics,Bioengineering,RoboticsandSystemsEngineering,UniversityofGenoa,Genoa,Italyadorni@unige.it,frosina.koceva@edu.unige.itAbstract.Thepaperfocusesonthedeliverypro
2、cessoflearningmaterialsofacourseforstudentsbymeansofEducationalConceptMaps(ECM),whileinpreviousworks,wepresentedtheECMmodelanditsimplementation,ENCODEsystem,asatooltoassisttheteacherduringtheprocessofinstructionaldesignofacourse.AnECMiscomposedofconceptsandeducationalrelation
3、ships,whereaconceptrepresentsalearningargument,itsprerequisites,learningoutcomesandassociatedlearningmaterials.WeproposethelearningmaterialsgenerationfoundedontheECMwithsuggestedlearningpathforaccessingeducationalresourcespersonalizedonthebaseofthestudent’sknowledge.Theperson
4、alizeddocumentcreationisbasedonaself-evaluationprocessofhis/herknowledgeandlearningobjectives,bypruningconceptsontheoriginalECMandverifyingforpropaedeuticinconsistency.Analgorithmthatlinearizethemapgeneratesthesuggestedlearningpathforthestudent.Keywords:Knowledgerepresentatio
5、n·Learningpath·e-learning1IntroductionE–learninghasbecomeanimportantcomponentofoureducationallife.DifferentwebbasedLearningContentManagementSystems(LCMS)havebeendevelopedtosupportteachersforconstructingandupdatingthecoursematerials,aswellaslearnersinthelearningprocess.DoesArti
6、ficialIntelligence(AI)playanyroleinthisprocess?Maybethequestionisillposed;therightquestionshouldbe:WhatarethemethodsandAIapplicationsthatareofinterestfore-learning?Thelist,whichdoesnotpretendtobecomprehensive,certainlyincludes:(i)systemsabletolearnfromtheinteractionwiththeuser
7、andadaptthemselvestotheuserbyprovidingpersonalizedsuggestionsandrecommendations;(ii)systemsabletomakeintelligentwebsearches;(iii)systemsareabletopersonalizethecontentonthebasisofauserprofile,designingandreusinglearningobjects;(iv)intelligentagentsforuserassistance(see,forexamp
8、le,[1–4]).Inthispicture,evenifpartial,ofmethodsandAIapplicationsfore
