dc.contributor.author | Meleško, Jaroslav | |
dc.contributor.author | Kurilov, Jevgenij | |
dc.date.accessioned | 2023-09-18T17:18:02Z | |
dc.date.available | 2023-09-18T17:18:02Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 2574-8254 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/121675 | |
dc.description.abstract | In 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.format | PDF | |
dc.format.extent | p. 1-11 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | ERIH Plus | |
dc.relation.isreferencedby | DBLP Computer Science Bibliography | |
dc.relation.isreferencedby | Cabell's | |
dc.relation.isreferencedby | ACM Digital Library | |
dc.relation.isreferencedby | INSPEC | |
dc.source.uri | https://www.igi-global.com/article/adaptive-tutoring-system-with-application-of-intelligent-agents/201177 | |
dc.source.uri | https://www.igi-global.com/gateway/issue/185224 | |
dc.title | Adaptive tutoring system with application of intelligent agents | |
dc.type | Straipsnis kitoje DB / Article in other DB | |
dcterms.references | 20 | |
dc.type.pubtype | S3 - Straipsnis kitoje DB / Article in other DB | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas Vilniaus universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | S 007 - Edukologija / Educology | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.vgtuprioritizedfields | IK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | personalised intelligent multi-agent learning system | |
dc.subject.en | learning styles | |
dc.subject.en | learning units | |
dc.subject.en | Semantic Web | |
dc.subject.en | ontologies | |
dc.subject.en | recommender system | |
dc.subject.en | intelligent software agents | |
dcterms.sourcetitle | International Journal of Smart Education and Urban Society (IJSEUS) | |
dc.description.issue | iss. 2 | |
dc.description.volume | vol. 9 | |
dc.publisher.name | IGI Global | |
dc.publisher.city | Hershey | |
dc.identifier.doi | 10.4018/IJSEUS.2018040101 | |
dc.identifier.elaba | 33772351 | |