Using the TAM Model to Predict Undergraduate Distance Learners Behavioural Intention to Use the Makerere University Learning Management System

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dc.contributor.authorKasula Munabi, Susan
dc.contributor.authorAguti, Jessica
dc.contributor.authorMutambo Nabushawo, Harriet
dc.date.accessioned2023-01-12T19:37:03Z
dc.date.available2023-01-12T19:37:03Z
dc.date.issued2020
dc.description.abstractThe purpose of the research was to predict the factors that affect the undergraduate distance learners behavioural intention to use the Makerere University E-learning Environment (MUELE) at Makerere university using the Learning Management System-Technology Acceptance Model (LMS-TAM). The LMS-TAM used for this study, was made up of the three factors from original Technology Acceptance Model (TAM): perceived ease of use, perceived usefulness, and behavioural intention including an external factor called enjoyment. It involved distribution of self-administered validated questionnaires to 114 students. A Partial least squares structural equation modeling approach was used to analyse the data captured by the study questionnaire. The model predicted that enjoyment and perceived usefulness were the factors that influenced learners’ continued use of the LMS. These findings were significant with enjoyment having a greater effect (0.85) on behavioural intention than perceived usefulness with an effect of (0.40). This information can be utilised in the design of interventions that increase learners’ use of the learning management system.en_US
dc.identifier.citationMunabi, S.K., Aguti, J. and Nabushawo, H.M. (2020) Using the TAM Model to Predict Undergraduate Distance Learners Behavioural Intention to Use the Makerere University Learning Management System. Open Access Library Journal , 7: e6699. https://doi.org/10.4236/oalib.1106699en_US
dc.identifier.urihttps://doi.org/10.4236/oalib.1106699
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/6909
dc.language.isoenen_US
dc.publisherOpen Access Library Journalen_US
dc.subjectLearning Management System-Technology Acceptance Modelen_US
dc.subjectLMS-TAMen_US
dc.subjectStructural Equation Modelingen_US
dc.subjectDistance learnersen_US
dc.titleUsing the TAM Model to Predict Undergraduate Distance Learners Behavioural Intention to Use the Makerere University Learning Management Systemen_US
dc.typeArticleen_US
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