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Education and Information Technologies

Erschienen in:

04.02.2020

Determinants of learning management systems adoption in Nigeria: A hybrid SEM and artificial neural network approach

verfasst von: Mohammed Nasiru Yakubu, Salihu Ibrahim Dasuki, A. Mohammed Abubakar, Muhammadou M. O. Kah

Erschienen in: Education and Information Technologies | Ausgabe 5/2020

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Abstract

Research has shown that technology, when used prudently, has the potential to improve instruction and learning both in and out of the classroom. Only a handful of African tertiary institutions have fully deployed learning management systems (LMS) and the literature is devoid of research examining the factors that foster the adoption of LMS. To fill this void, the present research investigates the factors contributing to students’ acceptance of LMS. Survey data were obtained from registered students in four Nigerian universities (n = 1116); the responses were analyzed using artificial neural network (ANN) and structural equation modeling (SEM) techniques. The results show that social influence, facilitating conditions, system quality, perceived ease of use, and perceived usefulness are important predictors for students’ behavioral intention to use LMS. Students’ behavioral intention to use LMS also functions as a predictor for actual usage of LMS. Implications for practice and theory are discussed.

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Titel: Determinants of learning management systems adoption in Nigeria: A hybrid SEM and artificial neural network approach
verfasst von: Mohammed Nasiru Yakubu
Salihu Ibrahim Dasuki
A. Mohammed Abubakar
Muhammadou M. O. Kah
Publikationsdatum: 04.02.2020
Verlag: Springer US
Erschienen in: Education and Information Technologies / Ausgabe 5/2020
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI: https://doi.org/10.1007/s10639-020-10110-w

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