Acceptance of online social networks as technology-based education tools among higher institution students: structural equation modeling approach

Al-Sharafi, Mohammed A. and Mufadhal, Mokhtar Esmail and Noor Azida, Sahabudin and Ruzaini, Abdullah Arshah (2019) Acceptance of online social networks as technology-based education tools among higher institution students: structural equation modeling approach. Scientia Iranica, 26 (1). pp. 136-144. ISSN 1026-3098. (Published)

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Abstract

Educational institutes are adopting Online Social Networks (OSNs) to facilitate learning activities in university campuses. However, before implementation a new technology there is need to identify and measure the factors that influence users' acceptance of the new technology. This will aid to critically predict the success or failure of the new technology that is to be adopted. Therefore, this study aims to identify the factors that influence student’s acceptance of online social networks as learning tool. Besides, a research model is developed based on the identified factors grounded on Technology Acceptance Model (TAM). In addition, Structural Equation Model (SEM) was employed to validate the developed model hypotheses based data collected by employing online survey from 537 students in University Malaysia Pahang (UMP). Furthermore, findings from this study have significant implications and considerable value for higher educational institutes to devise better strategies for adoption of OSNs' as a learning tool.

Item Type: Article
Additional Information: Mohammed A Al-Sharafi , Mokhtar Esmail Mufadhal, Noor Azida Sahabudin and Ruzaini Abdullah Arshah; Indexed by scopus
Uncontrolled Keywords: Online social networks; Technology acceptance model; Perceived enjoyment; Social influence; Emerging technology-based education; Emerging technology-based instruction
Subjects: H Social Sciences > HM Sociology
L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 16 Aug 2019 07:09
Last Modified: 16 Aug 2019 07:09
URI: http://umpir.ump.edu.my/id/eprint/24849
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