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Technological Acceptance Model for Social Media Networking in E-Learning in Higher Educational Institutes

Samuel-Soma M. Ajibade and Abdelhamid Zaidi

Abstract—Twitter and Facebook are popular among college educators. The use of social media in schools of higher learning has also been the subject of study. The use of social media has opened up new avenues of contact, collaboration, and participation between students and teachers. Accepting students and educators who make use of technological tools to do so requires insight into the factors that shape their propensity to do so. Using the Technology Acceptance Model (TAM) framework, which highlights perceived ease of use, perceived usefulness, and behavioral intention to use new technologies, this paper investigates the extent to which Nigerians are adopting social networking media for e-learning. Quantitative studies made use of surveys. Teachers and students from four different Nigerian schools participated in this survey. The suggested model factors were predicted using structural equation modeling (SEM). Intentions to utilize social media for e-learning by students and faculty at Nigerian institutions were shown to be impacted by these factors: perceived ease of use and perceived utility. The research is limited in that it does not offer any insight into interactive factors such interaction with research group members and peers, interaction with supervisors or lecturers, engagement, or active collaborative learning.

Index Terms—Technology acceptance model, TAM, Perceived ease of use, higher education, social media networking.

S. M. Ajibade is with the Department of Computer Engineering, Istanbul Ticaret Universitesi, Instabul, Turkey.
A. Zaidi is with the Department of Mathematics, College of Science, Qassim University, Buraydah, Qassim, Saudi Arabia.
*Correspondence: asamuel@ticaret.edu.tr

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Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2021: 1.3), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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