Factors affecting the adoption of e-learning technologies among higher education students in Nigeria : A structural equation modelling approach

YAKUBU, M Nasiru and DASUKI, Salihu (2018). Factors affecting the adoption of e-learning technologies among higher education students in Nigeria : A structural equation modelling approach. Information Development.

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Official URL: http://journals.sagepub.com/doi/10.1177/0266666918...
Link to published version:: https://doi.org/10.1177/0266666918765907
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    Abstract

    The aim of the study is to investigate factors that influence the adoption and use of educational technology by students of a higher education institution in developing countries. The study employed the unified theory of acceptance and use of technology (UTAUT). The online survey method was used to collect data from 286 students of a higher education institution in Nigeria. The maximum likelihood method based on structural equation modelling (SEM) using IBM Amos 22.0 application was used to analyse the data. The study determined that performance expectancy and effort expectancy (p < 0.001) were significant factors in influencing the behavioural intention to use Canvas. Social Influence was deemed to be a statistically non-significant factor in influencing behavioural intentions as (p > 0.05). Facilitating conditions and behavioural intentions were determined to be salient factors that positively influence the actual usage of Canvas by the students. The results from the data obtained partially support the UTAUT’s ability to explain the factors responsible for the acceptance of educational technology in developing countries, in Nigeria to be specific. Furthermore the study contributes to the formulation of approaches and guidelines to enhance the adoption of educational technologies in developing countries.

    Item Type: Article
    Additional Information: eLearning, higher education, students, Nigeria
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1177/0266666918765907
    Depositing User: Salihu Dasuki
    Date Deposited: 05 Apr 2018 12:13
    Last Modified: 18 Mar 2021 11:00
    URI: http://shura.shu.ac.uk/id/eprint/19053

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