Manuscript received August 11, 2022; revised September 22, 2022; accepted September 29, 2022.
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 ORCID ID: 0000-0002-3452-1889.
A. Zaidi is with the Department of Mathematics, College of Science,
Qassim University, Buraydah, Qassim, Saudi Arabia ORCID ID:
0000-0003-1305-4959.
*Correspondence: asamuel@ticaret.edu.tr
Cite: Samuel-Soma M. Ajibade* and Abdelhamid Zaidi, "Technological Acceptance Model for Social Media Networking in e-Learning in Higher Educational Institutes," International Journal of Information and Education Technology vol. 13, no. 2, pp. 239-246, 2023.
Copyright © 2023 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).