Skip to main content

What Impacts the Acceptance of E-learning Through Social Media? An Empirical Study

  • Chapter
  • First Online:
Recent Advances in Technology Acceptance Models and Theories

Abstract

An incredible volume of research was conducted to examine the students’ acceptance of e-learning systems through the platforms of higher education institutions (HEIs). However, little debate was made concerning the exploration of the factors influencing the acceptance of e-learning systems via social media applications. Accordingly, this study extends the technology acceptance model (TAM) with social media practices, including knowledge sharing, motivation and uses, and social media features to understand the impact of these determinants on students’ acceptance of e-learning systems. The partial least squares-structural equation modeling (PLS-SEM) along with the importance-performance map analysis (IPMA) are employed to analyze the theoretical model using survey data collected from 410 students. The findings indicated that knowledge sharing, motivation and uses, and social media features have significant positive effects on both perceived ease of use (PEOU) and perceived usefulness (PU). It is also essential to report that the e-learning system acceptance is positively affected by PEOU and PU together. Further, the IPMA results showed that PEOU was the most important influential factor of e-learning systems acceptance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alsabawy, A.Y., Cater-Steel, A., Soar, J.: Determinants of perceived usefulness of e-learning systems. Comput. Human Behav. 64, 843–858 (2016)

    Article  Google Scholar 

  2. Al-Emran, M., Teo, T.: Do knowledge acquisition and knowledge sharing really affect e-learning adoption? An empirical study. Educ. Inf. Technol. 25, 1983–1998 (2020). https://doi.org/10.1007/s10639-019-10062-w

    Article  Google Scholar 

  3. R. A. Al-Maroof and M. Al-Emran, “Research Trends in Flipped Classroom: A Systematic Review,” in Recent Advances in Intelligent Systems and Smart Applications, Springer, 2021, pp. 253–275.

    Google Scholar 

  4. Althunibat, A.: Determining the factors influencing students’ intention to use m-learning in Jordan higher education. Comput. Human Behav. 52, 65–71 (2015). https://doi.org/10.1016/j.chb.2015.05.046

    Article  Google Scholar 

  5. P. J. H. Hu and W. Hui, “Examining the role of learning engagement in technology-mediated learning and its effects on learning effectiveness and satisfaction,” 2012, https://doi.org/10.1016/j.dss.2012.05.014.

  6. Crawford, C., Persaud, C.: Community Colleges Online. J. Coll. Teach. Learn. 10(1), 75–82 (2013). https://doi.org/10.19030/tlc.v10i1.7534

    Article  Google Scholar 

  7. Salloum, S.A., Alhamad, A.Q.M., Al-Emran, M., Monem, A.A., Shaalan, K.: Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model. IEEE Access 7, 128445–128462 (2019). https://doi.org/10.1109/access.2019.2939467

    Article  Google Scholar 

  8. C. Mhamdi, M. Al-Emran, and S. A. Salloum, Text mining and analytics: A case study from news channels posts on Facebook, vol. 740. 2018.

    Google Scholar 

  9. N. Al-Qaysi, N. Mohamad-Nordin, and M. Al-Emran, “Developing an Educational Framework for Using WhatsApp Based on Social Constructivism Theory,” in Recent Advances in Intelligent Systems and Smart Applications, Springer, 2021, pp. 243–252.

    Google Scholar 

  10. Habes, M., Salloum, S.A., Alghizzawi, M., Alshibly, M.S.: The role of modern media technology in improving collaborative learning of students in Jordanian universities. Int. J. Inf. Technol. Lang. Stud. 2(3), 71–82 (2018)

    Google Scholar 

  11. N. Al-Qaysi, N. Mohamad-Nordin, and M. Al-Emran, “Factors Affecting the Adoption of Social Media in Higher Education: A Systematic Review of the Technology Acceptance Model,” in Recent Advances in Intelligent Systems and Smart Applications, Springer, 2021, pp. 571–584.

    Google Scholar 

  12. Costa, C., Alvelos, H., Teixeira, L.: The use of Moodle e-learning platform: a study in a Portuguese University. Procedia Technol. 5, 334–343 (2012)

    Article  Google Scholar 

  13. N. Al-Qaysi, N. Mohamad-Nordin, and M. Al-Emran, “Employing the technology acceptance model in social media: A systematic review,” Educ. Inf. Technol., pp. 1–42, 2020, https://doi.org/10.1007/s10639-020-10197-1.

  14. S. A. Salloum, M. Al-Emran, and K. Shaalan, “The Impact of Knowledge Sharing on Information Systems: A Review,” in International Conference on Knowledge Management in Organizations, 2018, pp. 94–106.

    Google Scholar 

  15. Boyd, D.M., Ellison, N.B.: Social network sites: Definition, history, and scholarship. J. Comput. Commun. 13(1), 210–230 (2007). https://doi.org/10.1111/j.1083-6101.2007.00393.x

    Article  Google Scholar 

  16. Lee, C., Lee, G., Lin, H.: The role of organizational capabilities in successful e-business implementation. Bus. Process Manag. J. 13(5), 677–693 (2007). https://doi.org/10.1108/14637150710823156

    Article  Google Scholar 

  17. Salloum, S.A., Al-Emran, M., Shaalan, K., Tarhini, A.: Factors affecting the E-learning acceptance: A case study from UAE. Educ. Inf. Technol. 24(1), 509–530 (2019). https://doi.org/10.1007/s10639-018-9786-3

    Article  Google Scholar 

  18. Arpaci, I., Al-Emran, M., Al-Sharafi, M.A.: The impact of knowledge management practices on the acceptance of Massive Open Online Courses (MOOCs) by engineering students: A cross-cultural comparison. Telemat, Informatics (2020)

    Google Scholar 

  19. M. Al-Emran and V. Mezhuyev, “Examining the Effect of Knowledge Management Factors on Mobile Learning Adoption Through the Use of Importance-Performance Map Analysis (IPMA),” in International Conference on Advanced Intelligent Systems and Informatics, 2019, pp. 449–458.

    Google Scholar 

  20. M. Al-Emran, V. Mezhuyev, and A. Kamaludin, “Towards a conceptual model for examining the impact of knowledge management factors on mobile learning acceptance,” Technol. Soc., 2020.

    Google Scholar 

  21. Al-Qaysi, N., Al-Emran, M.: Code-switching Usage in Social Media: A Case Study from Oman. Int. J. Inf. Technol. Lang. Stud. 1(1), 25–38 (2017)

    Google Scholar 

  22. Lüders, M., Brandtzæg, P.B.: ‘My children tell me it’s so simple’: A mixed-methods approach to understand older non-users’ perceptions of Social Networking Sites. New media Soc. 19(2), 181–198 (2017)

    Article  Google Scholar 

  23. Chatti, M.A., Jarke, M., Frosch-Wilke, D.: The future of e-learning: a shift to knowledge networking and social software. Int. J. Knowl. Learn. 3(4–5), 404–420 (2007)

    Article  Google Scholar 

  24. F. Rennie and T. Morrison, E-learning and social networking handbook: Resources for higher education. Routledge, 2013.

    Google Scholar 

  25. Keller, J., Suzuki, K.: Learner motivation and e-learning design: A multinationally validated process. J. Educ. Media 29(3), 229–239 (2004)

    Article  Google Scholar 

  26. Lee, Y.-C.: An empirical investigation into factors influencing the adoption of an e-learning system. Online Inf. Rev. 30(5), 517–541 (2006)

    Article  Google Scholar 

  27. Sun, P.-C., Tsai, R.J., Finger, G., Chen, Y.-Y., Yeh, D.: What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Comput. Educ. 50(4), 1183–1202 (2008)

    Article  Google Scholar 

  28. Zacharis, N.Z.: Predicting college students’ acceptance of podcasting as a learning tool. Interact. Technol. Smart Educ. 9(3), 171–183 (2012)

    Article  Google Scholar 

  29. Law, K.M.Y., Lee, V.C.S., Yu, Y.-T.: Learning motivation in e-learning facilitated computer programming courses. Comput. Educ. 55(1), 218–228 (2010)

    Article  Google Scholar 

  30. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989). https://doi.org/10.2307/249008

    Article  Google Scholar 

  31. Al-Qaysi, N., Mohamad-Nordin, N., Al-Emran, M.: A systematic review of social media acceptance from the perspective of educational and information systems theories and models. J. Educ. Comput. Res. 57(8), 2085–2109 (2020). https://doi.org/10.1177/0735633118817879

    Article  Google Scholar 

  32. Tarhini, A., Hone, K., Liu, X.: The effects of individual differences on e-learning users’ behaviour in developing countries: A structural equation model. Comput. Human Behav. 41, 153–163 (2014). https://doi.org/10.1016/j.chb.2014.09.020

    Article  Google Scholar 

  33. Tarhini, A., Hone, K., Liu, X.: Factors affecting students’ acceptance of e-learning environments in developing countries: A structural equation modeling approach. Int. J. Inf. Educ. Technol. 3(1), 54–59 (2013). https://doi.org/10.7763/IJIET.2013.V3.233

    Article  Google Scholar 

  34. C. M. Ringle, S. Wende, and J. Becker, “SmartPLS 3. Bönningstedt: SmartPLS.” 2015, [Online]. Available: http://www.smartpls.com.

  35. M. Al-Emran, V. Mezhuyev, and A. Kamaludin, “PLS-SEM in Information Systems Research: A Comprehensive Methodological Reference,” in 4th International Conference on Advanced Intelligent Systems and Informatics (AISI 2018), 2018, pp. 644–653.

    Google Scholar 

  36. J. F. Hair Jr, G. T. M. Hult, C. Ringle, and M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications, 2016.

    Google Scholar 

  37. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2015). https://doi.org/10.1007/s11747-014-0403-8

    Article  Google Scholar 

  38. Ringle, C.M., Sarstedt, M.: Gain more insight from your PLS-SEM results: The importance-performance map analysis. Ind. Manag. Data Syst. 116(9), 1865–1886 (2016). https://doi.org/10.1108/IMDS-10-2015-0449

    Article  Google Scholar 

Download references

Acknowledgment

This is an extended version of a conference paper published by the International Conference on Advanced Intelligent Systems and Informatics 2019.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mostafa Al-Emran .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Salloum, S.A., Al-Emran, M., Habes, M., Alghizzawi, M., Ghani, M.A., Shaalan, K. (2021). What Impacts the Acceptance of E-learning Through Social Media? An Empirical Study. In: Al-Emran, M., Shaalan, K. (eds) Recent Advances in Technology Acceptance Models and Theories. Studies in Systems, Decision and Control, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-64987-6_24

Download citation

Publish with us

Policies and ethics