Abstract
The continuously improving Internet penetration in the continent, coupled with the increasing number of smartphone users in Africa has been considered as the reasons for the adoption of social media among students and other adolescents. Even though this development has been recognizing in the literature, only a few studies have investigated the acceptance, use, and retention of social media for academic purposes. However, findings of prior studies suggest that the use of social media has an influence on academic performance. To address the lack of knowledge on the adoption of social media among students, this study aims to explore the factors that are related to students’ acceptance and use of social media. We attempt to extend the Technology Acceptance Model by integrating relational engagement, Perceived Satisfaction, as well as the Perspective of the Use of Social Media in Education. The proposed theoretical model was evaluated using quantitative data collected from 460 students in Cameroon. We applied PLS-SEM technique to test the hypotheses and the theoretical model. Implications of the findings, as well as future research directions, are presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Al-Rahmi, W.M., Yahaya, N., Alamri, M.M., Alyoussef, I.Y., Al-Rahmi, A.M., Kamin, Y.B.: Integrating innovation diffusion theory with technology acceptance model: supporting students’ attitude towards using a massive open online courses (MOOCS) systems. Interact. Learn. Environ. 1–13 (2019). https://doi.org/10.1080/10494820.2019.1629599
Cha, K., Kwon, S.: Understanding the adoption of e-learning in south Korea: using the extended technology acceptance model approach. KEDI J. Educ. Policy 15(2) (2018)
Tarhini, A., Hone, K., Liu, X.: Measuring the moderating effect of gender and age on e-learning acceptance in England: aa structural equation modeling approach for an extended technology acceptance model. J. Educ. Comput. Res. 51(2), 163–184 (2014)
Yeou, M.: An investigation of students’ acceptance of Moodle in a blended learning setting using technology acceptance model. J. Educ. Technol. Syst. 44(3), 300–318 (2016)
Lau, W.W.: Effects of social media usage and social media multitasking on the academic performance of university students. Comput. Hum. Behav. 68, 286–291 (2017)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35(8), 982–1003 (1989)
Dhume, S.M., Pattanshetti, M.Y., Kamble, S.S., Prasad, T.: Adoption of social media by business education students: application of technology acceptance model (tam). In: 2012 IEEE International Conference on Technology Enhanced Education (ICTEE). pp. 1–10. IEEE (2012)
Akman, I., Turhan, C.: User acceptance of social learning systems in higher education: an application of the extended technology acceptance model. Innov. Educ. Teach. Int. 54(3), 229–237 (2017)
Elkaseh, A.M., Wong, K.W., Fung, C.C.: Perceived ease of use and perceived usefulness of social media for e-learning in Libyan higher education: a structural equation modeling analysis. Int. J. Inform. Educ. Technol. 6(3), 192 (2016)
Al-Rahmi, W.M., Othman, M.S., Yusuf, L.M.: Social media for collaborative learning and engagement: adoption framework in higher education institutions in Malaysia. Mediterr. J. Soc. Sci. 6(3 S1), 246 (2015)
Kanthawongs, P., Kanthawongs, P., Chitcharoen, C.: Factors affecting perceived satisfaction with facebook in education. International Association for Development of the Information Society. pp. 188–194 (2016)
Sun, H., Zhang, P.: An exploration of affect factors and their role in user technology acceptance: mediation and causality. J. Am. Soc. Inform. Sci. Technol. 59(8), 1252–1263 (2008)
Hair, J.F., Sarstedt, M., Ringle, C.M., Mena, J.A.: An assessment of the use of partial least squares structural equation modeling in marketing research. J. Acad. Mark. Sci. 40(3), 414–433 (2012)
Chin, W.W., et al.: The partial least squares approach to structural equation modeling. Mod. Methods Bus. Res. 295(2), 295–336 (1998)
Chin, W.: How to write up and report pls analyses. In: Handbook of Partial Least Squares: Concepts, Methods and Application. Esposito Vinzi, V pp. 645–689 (2010)
Fornell, C., Larcker, D.F.: Structural equation models with unobservable variables and measurement error: Algebra and statistics. J. Mark. Res. (JMR) 18(3) (1981)
Ibili, E., Resnyansky, D., Billinghurst, M.: Applying the technology acceptance model to understand Maths teachers’ perceptions towards an augmented reality tutoring system. Educ. Inform. Technol. 24(5), 2653–2675 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Kuika Watat, J., Jonathan, G.M., Ntsafack Dongmo, F.W., Zine El Abidine, N.E.H. (2020). Social Media Impact on Academic Performance: Lessons Learned from Cameroon. In: Themistocleous, M., Papadaki, M., Kamal, M.M. (eds) Information Systems. EMCIS 2020. Lecture Notes in Business Information Processing, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-030-63396-7_25
Download citation
DOI: https://doi.org/10.1007/978-3-030-63396-7_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-63395-0
Online ISBN: 978-3-030-63396-7
eBook Packages: Computer ScienceComputer Science (R0)