Rodyti trumpą aprašą

dc.contributor.authorRamanauskaitė, Simona
dc.contributor.authorSlotkienė, Asta
dc.date.accessioned2023-09-18T19:58:42Z
dc.date.available2023-09-18T19:58:42Z
dc.date.issued2019
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/145444
dc.description.abstractThe development of information technologies changes the learning process. The amount of publicly available data of e-learning systems allows personalized studies. Therefore, the tutor sometimes is needed for the student’s evaluation and consultation only. To ensure clear evaluation requirements and objective evaluation process, the learning material, as well as the evaluation system, must be discrete and semantically expressed. The list of mastered competencies and skills is more important to the enterprise; therefore, during the last years, the study process has concentrated on competency evaluation too. However, the current practice, when students’ competencies are summarized and expressed as one quantitative metric (score), do not express the list of students’ competencies and their level. To solve the problem, in this paper, we proposed a method for the design of competencies’ tree. The competency tree has to be formatted based on context modeling principles and analysis of Scope-Commonality-Variability. The usage of competency tree for students’ competencies’ evaluation proposes clearly defined and semantically expressed evaluation method for both human and e-learning evaluation process. This paper presents the results of the empirical experiment to adapt the proposed competency tree design and application for competencies’ e-evaluation method, based on flexibility, adaptability, and granularity of learning material.eng
dc.formatPDF
dc.format.extentp. 1-16
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyChemical abstracts
dc.relation.isreferencedbyGenamics Journal Seek
dc.relation.isreferencedbyAGORA
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2076-3417/9/17/3478
dc.source.urihttps://doi.org/10.3390/app9173478
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:40440089/datastreams/MAIN/content
dc.titleHierarchy-based competency structure and its application in e-evaluation
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references37
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
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.researchfieldN 009 - Informatika / Computer science
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.ene-learning
dc.subject.ene-evaluation
dc.subject.encompetencies
dc.subject.enadaptive learning
dc.subject.enpersonalized learning
dcterms.sourcetitleApplied sciences
dc.description.issueiss. 17
dc.description.volumevol. 9
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000488603600040
dc.identifier.doi10.3390/app9173478
dc.identifier.elaba40440089


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