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dc.contributor.authorBokolo, Anthony Junior
dc.date.accessioned2020-09-08T06:55:24Z
dc.date.available2020-09-08T06:55:24Z
dc.date.created2020-09-04T11:22:48Z
dc.date.issued2020
dc.identifier.issn2056-4880
dc.identifier.urihttps://hdl.handle.net/11250/2676765
dc.description.abstractPurpose Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned behavior (TPB). Design/methodology/approach The empirical analysis entails data collected from 1,811 responses from an online survey questionnaire from students in Malaysian universities, colleges and polytechnics. Partial least square–structural equation modeling (PLS–SEM) was employed for data analysis. Findings The results reveal that the attitude, subjective norm, perceived behavioral control and self-efficacy were found to influence students' intention to accept BL. Moreover, results suggest that the intention of students to accept BL approach is significantly influenced by actual BL deployment. Research limitations/implications Data were collected from students in universities, colleges and polytechnics only. Besides, this research is one of the limited studies that explored BL deployment in a Malaysian perspective. Practical implications Findings from this research not only add scientific evidence to BL literature but also provide a better understanding of the predictors that may motivate or discourage learners to deploy BL in institutions of higher learning. Social implications Respectively, findings from this study aid students to acquire and apply knowledge on how to effectively improve BL initiatives in learning activities. Originality/value This study is one of the fewer studies that investigate students' behavioral intentions toward BL deployment in Malaysia. Additionally, this study contributes to the understanding of the predictors that influence students' intention to accept and deploy BL in their respective institutions.en_US
dc.language.isoengen_US
dc.publisherEmeralden_US
dc.titlePredictors of Blended Learning Deployment in Institutions of Higher Learning: Theory of Planned Behavior Perspectiveen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.journalThe international journal of information and learning technologyen_US
dc.identifier.doi10.1108/IJILT-02-2020-0013
dc.identifier.cristin1827335
dc.description.localcode© 2020. This is the authors' accepted and refereed manuscript to the article.en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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