Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31121
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dc.contributor.authorSuriyapaiboonwattana, K-
dc.contributor.authorHone, K-
dc.date.accessioned2025-05-02T20:37:05Z-
dc.date.available2025-05-02T20:37:05Z-
dc.date.issued2025-03-19-
dc.identifierORCiD: Kanitsorn Suriyapaiboonwattana https://orcid.org/0000-0003-3255-0990-
dc.identifierORCiD: Kate Hone https://orcid.org/0000-0001-5394-8354-
dc.identifierArticle number 31-
dc.identifier.citationSuriyapaiboonwattana, K. and Hone, K. (2025) 'Determinants of ThaiMOOC Engagement: A Longitudinal Perspective on Adoption to Continuance', Informatics, 12 (1), 31, pp. 1 - 38. don: 10.3390/informatics12010031.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31121-
dc.descriptionData Availability Statement: The data supporting this study are available upon reasonable request from the corresponding author. Restrictions apply due to a confidentiality agreement established during the ethical approval process at Brunel University London and the conditions set by the gatekeeper who granted permission for data collection. These restrictions specify that the collected data should only be accessed by the researchers involved in this study.en_US
dc.description.abstractMassive Open Online Courses (MOOCs) have become increasingly prevalent in higher education, with the COVID-19 pandemic further accelerating their integration, particularly in developing countries. While MOOCs offered a vital solution for educational continuity during the pandemic, factors influencing students’ sustained engagement with them remain understudied. This longitudinal study examines the factors influencing learners’ sustained engagement with ThaiMOOC, incorporating demographic characteristics, usage log data, and key predictors of adoption and completion. Our research collected primary data from 841 university students who enrolled in ThaiMOOC as a mandatory curriculum component, using online surveys with open-ended questions and post-course usage log analysis. Logistic regression analysis indicates that adoption intention, course content, and perceived effectiveness significantly predict students’ Actual Continued Usage (ACU). Moreover, gender, prior MOOC experience, and specific usage behaviors emerge as influential factors. Content analysis highlights the importance of local language support and the desire for safety during the COVID-19 pandemic. Key elements driving ACU include video design, course content, assessment, and learner-to-learner interaction.en_US
dc.description.sponsorshipThis research received no external funding.en_US
dc.format.extent1 - 38-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherMDPIen_US
dc.rightsAttribution 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectMOOC continued usageen_US
dc.subjectadoptionen_US
dc.subjectcompletionen_US
dc.subjectdeveloping countryen_US
dc.titleDeterminants of ThaiMOOC Engagement: A Longitudinal Perspective on Adoption to Continuanceen_US
dc.typeArticleen_US
dc.date.dateAccepted2025-03-14-
dc.identifier.doihttps://doi.org/10.3390/informatics12010031-
dc.relation.isPartOfInformatics-
pubs.issue1-
pubs.publication-statusPublished-
pubs.volume12-
dc.identifier.eissn2227-9709-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dcterms.dateAccepted2025-03-14-
dc.rights.holderThe authors-
Appears in Collections:Dept of Computer Science Research Papers

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