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dc.contributor.authorKurilov, Jevgenij
dc.contributor.authorKubilinskienė, Svetlana
dc.date.accessioned2023-09-18T20:23:10Z
dc.date.available2023-09-18T20:23:10Z
dc.date.issued2020
dc.identifier.issn0747-5632
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/149484
dc.description.abstractThe aim of the paper is to present application of the methodology (i.e. model and method) to evaluate suitability, acceptance and use of information technology (IT) tools for particular students as well as a case study of evaluating two IT tools widely used while studying human-computer interaction (HCI) design at Lithuanian Universities. These IT tools are “Axure” and “Balsamiq Mockups”. High-quality IT tools should be optimised to particular students according to their personal needs, e.g. learning styles. In the paper, optimised IT tools should have the highest probabilistic suitability indexes for particular students according to Felder-Silverman learning styles model. Personalised IT tools’ evaluation methodology presented in the paper is based on (1) well-known principles of Multiple Criteria Decision Analysis for identifying quality evaluation criteria; (2) Educational Technology Acceptance & Satisfaction Model (ETAS-M) based on well-known Unified Theory on Acceptance and Use of Technology (UTAUT) model, and (3) probabilistic suitability indexes to identify technology’s suitability to particular students’ needs according to their learning styles. In the paper, there is also a case study of implementing the methodology in Lithuania. This methodology is applicable in real life situations where teachers have to help students to apply IT tools that are most suitable, acceptable and useable for their needs and thus to improve students’ motivation, which in its turn creates the conditions for better and more efficient education. The case study aims at analysing the results of evaluating HCI tools using this novel methodology. The methodology is one of the examples of application of Technology Enhanced Learning Research in Higher Education.eng
dc.formatPDF
dc.format.extentp. 1-11
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyCompendex
dc.source.urihttps://www.sciencedirect.com/journal/computers-in-human-behavior/vol/107/suppl/C
dc.source.urihttps://doi.org/10.1016/j.chb.2020.106274
dc.titleLithuanian case study on evaluating suitability, acceptance and use of IT tools by students – an example of applying technology enhanced learning research methods in higher education
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references51
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas Vilniaus universitetas
dc.contributor.institutionVilniaus kolegija
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
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.entechnology enhanced learning research in higher education
dc.subject.enhuman-computer interaction
dc.subject.enIT tools
dc.subject.enevaluation
dc.subject.ensuitability
dc.subject.enacceptance and use
dcterms.sourcetitleComputers in human behavior
dc.description.volumevol. 107
dc.publisher.nameElsevier
dc.publisher.cityAmsterdam
dc.identifier.doi000523598100029
dc.identifier.doi10.1016/j.chb.2020.106274
dc.identifier.elaba55733193


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