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dc.contributor.authorJuškevičienė, Anita
dc.contributor.authorKurilov, Jevgenij
dc.date.accessioned2023-09-18T17:01:20Z
dc.date.available2023-09-18T17:01:20Z
dc.date.issued2017
dc.identifier.issn2049-100X
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/119024
dc.description.abstractThe paper is aimed to present an original method of identifying students preferring to actively use Problem-Based Learning (PBL) activities in personalised learning process. In the paper, the authors use an original learning personalisation approach based on identifying students’ learning needs (namely, learning styles), suitability of learning components (e.g. learning activities) to learning styles, probabilistic indexes of learning components’ suitability to particular students, and on applying intelligent technologies. Proposed method is aimed to personalise learning by applying Felder-Silverman learning styles model and intelligent technologies i.e. expert evaluation, ontologies and recommender system and thus to improve learning quality and effectiveness. Literature review presented in the paper revealed that PBL is a popular student-centred pedagogy in which students learn about a subject through the experience of solving open-ended problems found in trigger material. The PBL process does not focus on problem solving with a defined solution, but it allows for the development of other desirable skills and attributes. This includes knowledge acquisition, enhanced group collaboration and communication. The method of identifying students preferring to actively use PBL activities is based on identifying those activities’ indexes of probabilistic suitability to particular students according to their learning styles. Proposed method includes expert evaluation techniques and the method of identifying probabilistic suitability indexes to particular students. Thus, we could easily identify which students prefer to use PBL in their learning process mostly. After that, corresponding ontologies and recommender system should be created to propose the most suitable learning activities to particular students. These new elements make the given work distinct from all the other earlier works in the area.eng
dc.formatPDF
dc.format.extentp. 238-246
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyConference Proceedings Citation Index - Science (Web of Science)
dc.subjectIK01 - Informacinės technologijos, ontologinės ir telematikos sistemos / Information technologies, ontological and telematic systems
dc.titleOn linking problem-based learning activities and students’ learning styles in personalised learning
dc.typeStraipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB
dcterms.references0
dc.type.pubtypeP1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB
dc.contributor.institutionVilniaus universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldS 007 - Edukologija / Educology
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enpersonalised learning
dc.subject.enproblem-based learning
dc.subject.enlearning activities
dc.subject.enlearning styles
dc.subject.enexpert evaluation
dc.subject.ensuitability indexes
dc.subject.enontologies
dcterms.sourcetitleProceedings of the 16th European Conference on e-Learning (ECEL 2017). Book Series: Proceedings on the European Conference of e-Learning.
dc.publisher.nameAcademic Conferences and Publishing International
dc.publisher.cityReading
dc.identifier.doi000457842600031
dc.identifier.elaba24531986


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