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Adaptive tutoring system with application of intelligent agents

dc.contributor.authorMeleško, Jaroslav
dc.contributor.authorKurilov, Jevgenij
dc.date.accessioned2023-09-18T17:18:02Z
dc.date.available2023-09-18T17:18:02Z
dc.date.issued2018
dc.identifier.issn2574-8254
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/121675
dc.description.abstractIn this article, the authors suggest a methodology to adapt learning units to the needs and talents of individual students using an intelligent learning system. Learning personalisation is done based on several factors. Felder and Silverman Learning Styles model is used to create student's profile with conjunction of data mining technologies and previously recorded behaviour of the student. Firstly, the authors perform systematic review of application of intelligent software agents in teaching throughout Clarivate Analytics Web of Science database. Secondly, they present methodologies to personalise learning by means of intelligent technologies. They analyse preferences of students according to Soloman-Felder Learning Styles questionnaire. The resulting model of a student is used in the creation of a personalised learning unit. The model of an adaptive intelligent teaching system based on application of aforementioned technologies is presented in more detail.eng
dc.formatPDF
dc.format.extentp. 1-11
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyERIH Plus
dc.relation.isreferencedbyDBLP Computer Science Bibliography
dc.relation.isreferencedbyCabell's
dc.relation.isreferencedbyACM Digital Library
dc.relation.isreferencedbyINSPEC
dc.source.urihttps://www.igi-global.com/article/adaptive-tutoring-system-with-application-of-intelligent-agents/201177
dc.source.urihttps://www.igi-global.com/gateway/issue/185224
dc.titleAdaptive tutoring system with application of intelligent agents
dc.typeStraipsnis kitoje DB / Article in other DB
dcterms.references20
dc.type.pubtypeS3 - Straipsnis kitoje DB / Article in other DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas Vilniaus universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldS 007 - Edukologija / Educology
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enpersonalised intelligent multi-agent learning system
dc.subject.enlearning styles
dc.subject.enlearning units
dc.subject.enSemantic Web
dc.subject.enontologies
dc.subject.enrecommender system
dc.subject.enintelligent software agents
dcterms.sourcetitleInternational Journal of Smart Education and Urban Society (IJSEUS)
dc.description.issueiss. 2
dc.description.volumevol. 9
dc.publisher.nameIGI Global
dc.publisher.cityHershey
dc.identifier.doi10.4018/IJSEUS.2018040101
dc.identifier.elaba33772351


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