Title of article
Acceptance of online social networks as technology-based education tools among higher institution students: Structural equation modeling approach
Author/Authors
Al-Sharafi, Mohammed A. Faculty of Computer Systems & Software Engineering - Universiti Malaysia Pahang Lebuhraya Tun Razak, Gambang, Malaysia , Mufadhal, Mokhtar Esmail Faculty of Computer Systems & Software Engineering - Universiti Malaysia Pahang Lebuhraya Tun Razak, Gambang, Malaysia , Arshah, Ruzaini Abdullah Faculty of Computer Systems & Software Engineering - Universiti Malaysia Pahang Lebuhraya Tun Razak, Gambang, Malaysia , Sahabudin, Noor Azida Faculty of Computer Systems & Software Engineering - Universiti Malaysia Pahang Lebuhraya Tun Razak, Gambang, Malaysia
Pages
9
From page
136
To page
144
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.
Keywords
Online social networks , Technology acceptance model , Perceived enjoyment , Social influence , Emerging technology-based education , Emerging technology-based instruction
Journal title
Scientia Iranica(Transactions D: Computer Science and Electrical Engineering)
Serial Year
2019
Record number
2526378
Link To Document