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dc.contributor.authorMugo, David Gitumu
dc.contributor.authorNjagi, Kageni
dc.contributor.authorChemwei, Bernard
dc.contributor.authorMotanya, Jared Ochwagi
dc.date.accessioned2021-10-06T06:09:39Z
dc.date.available2021-10-06T06:09:39Z
dc.date.issued2017
dc.identifier.citationMugo, D. G., Njagi, K., Chemwei, B., & Motanya, J. O. (2017). The technology acceptance model (TAM) and its application to the utilization of mobile learning technologies.en_US
dc.identifier.issn2231-0851
dc.identifier.urihttp://repository.must.ac.ke/handle/123456789/385
dc.description.abstractResearchers have argued that inclusion of technologies in the teaching-learning places must be preceded by the user accepting the technology. Without this effort, the technologies remain abandoned or heavily underutilized once supplied to school system. So researchers have proposed frameworks that can inform policy makers, education managers and teachers on how best technology can be incorporated in an educational scenario. The most popular of all frameworks is the Technology Acceptance Model (TAM) as proposed by Davis, 1989. This study describes how the TAM has been used in predicting the acceptance and utilization of various technologies in teaching and learning places. The study then arguments how TAM can be adopted in the development and utilization of the most recent technological innovation for teaching and learning: - mobile technologies. The study was a documentary analysis of virtual documents stored electronically for access through the internet, text books, archival repositories as well as encyclopedia and was able to reveal that despite attitudinal and technical challenges, mobile technologies are receiving acceptance as useful resources for all pedagogical practices.en_US
dc.language.isoenen_US
dc.publisherSCIENCEDOMAIN internationalen_US
dc.subjectInstructionen_US
dc.subjecttechnologyen_US
dc.subjecttechnology acceptance modelen_US
dc.subjectmobile technologiesen_US
dc.titleThe Technology Acceptance Model (TAM) and its Application to the Utilization of Mobile Learning Technologiesen_US
dc.typeArticleen_US


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