Integrating Technology Acceptance Model With Utaut To Increase the Explanatory Power of the Effect of Hci on Students' Intention To Use E-Learning System and Perceive Success

dc.authorscopusid57767469900
dc.authorscopusid12039334900
dc.contributor.authorAl-Sayid, F.
dc.contributor.authorKirkil, G.
dc.date.accessioned2025-02-15T19:38:24Z
dc.date.available2025-02-15T19:38:24Z
dc.date.issued2025
dc.departmentKadir Has Universityen_US
dc.department-tempAl-Sayid F., Kadir Has University, Faculty of Graduate Students, Industrial Engineering Department, Istanbul, 34083, Türkiye; Kirkil G., Kadir Has University, Faculty of Engineering and Natural Sciences, Istanbul, 34083, Türkiyeen_US
dc.description.abstractThis study aimed to investigate the potential human-computer interaction factors (HCI) affecting students' behavioural intentions (BI) to use the e-learning system and perceive success. This paper proposes a comprehensive model, integrating the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT). The data were collected via an online survey conducted on 232 students utilizing the Khas Learn system of Kadir has University in Turkey. The proposed hypotheses were tested by multi-linear regression. The results illustrated that the main predictors of students' success (SS) are behaviour intention, ease of use, usefulness, visual design, and learner interface interactivity which explained 53.6% of perceived success in using the system. While, the main predictors of BI are facilitating condition, effort expectancy, ease of use, and usefulness which explained 71% of the variance in continuance intentions to use e-learning. Therefore, the empirical findings provide strong backing to the technological-social-psychological dimensions extended by HCI main factors, which showed a high explanatory power in accepting e-learning technology and leads to enhance the SS, where five of the model's goodness-of-fit values meet five criteria of structural equation modeling (SEM). © 2013 IEEE.en_US
dc.description.sponsorshipHuntsman Cancer Institute, University of Utah, HCIen_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.citationcount0
dc.identifier.doi10.1109/ACCESS.2025.3534740
dc.identifier.endpage20739en_US
dc.identifier.issn2169-3536
dc.identifier.scopus2-s2.0-85216980891
dc.identifier.scopusqualityQ1
dc.identifier.startpage20720en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2025.3534740
dc.identifier.volume13en_US
dc.identifier.wosWOS:001412136300044
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectE-Learningen_US
dc.subjectHuman Computer Interaction (Hci)en_US
dc.subjectPerceived Interface Design And Interactivityen_US
dc.subjectSelf-Efficacyen_US
dc.subjectStructural Equation Modeling (Sem)en_US
dc.subjectStudents'Successen_US
dc.subjectTechnology Acceptance Model (Tam)en_US
dc.subjectUtaut Modelen_US
dc.titleIntegrating Technology Acceptance Model With Utaut To Increase the Explanatory Power of the Effect of Hci on Students' Intention To Use E-Learning System and Perceive Successen_US
dc.typeArticleen_US
dc.wos.citedbyCount0
dspace.entity.typePublication

Files