Nothing Special   »   [go: up one dir, main page]

Skip to main content

E-learning: Factors Affecting Students Online Learning During COVID-19 Quarantine in a Developing Country

  • Conference paper
  • First Online:
Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making (ICIKS 2021)

Abstract

In response to the impending spread of COVID-19, universities worldwide switched to digital learning. They switched to online platforms using technology in their learning processes. In this context, an online survey study was conducted in Saint Joseph University, Faculty of Business in which the authors collected 458 responses from students during the spring-summer 2020 semester. The quantitative study focused on (1) the students’ access to technology, (2) the facilitating conditions offered by the university during the semester (3) the learning value acquired from the online teaching and (4) the demographics characteristics as gender and level of education. The researchers tested the relationship between those variables and the intention to use e-learning and to continue using it after the pandemic crisis. In this paper, the authors present and discuss their study’s results, where no gender differences were noted but a disparity in the level of education led to acceptance or rejection of future use of e-learning; moreover, the access to technology raised a major problem specially in the case of a developing country.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Similar content being viewed by others

References

  1. Crawford, J., Butler-Henderson, K., Rudolph, J., Malkawi, B., Glowatz, M., Burton, R.: COVID-19: 20 countries’ higher education intra-period digital pedagogy responses. J. Appl. Learn. Teach. 3, 1–20 (2020)

    Google Scholar 

  2. Nuere, S., de Miguel, L.: The digital/technological connection with COVID-19: an unprecedented challenge in University teaching. Techn. Knowl. Learn. (2020). https://doi.org/10.1007/s10758-020-09454-6

  3. Becker, K., Newton, C., Sawang, S.: A learner perspective on barriers to e-learning. Aust. J. Adult Learn. 53(2), 35–57 (2013)

    Google Scholar 

  4. Jones, C., Ramanau, R., Cross, S., Healing, G.: Net generation or digital natives: is there a distinct new generation entering university? Comput. Educ. 54, 722–732 (2010)

    Article  Google Scholar 

  5. Shahnavazi, A., Mehraeen, E., Bagheri, S., Miri, Z., Mohammadghasemi, M.: Survey of students readiness to use of e-learning technology. J. Paramed. Sci. Rehabil. 6, 60–66 (2017)

    Google Scholar 

  6. Sanchez-Gordon, S., Luján-Mora, S.: MOOCs gone wild. In: Proceedings of the 8th International Technology, Education and Development Conference (INTED 2014), Valencia (Spain), 10–12 March 2014, pp. 1449–1458 (2014). ISBN 978-84-616-8412-0

    Google Scholar 

  7. Lau, C.Y., Shaikh, J.: The impacts of personal qualities on online learning readiness at Curtin Sarawak Malaysia (CSM). Educ. Res. Rev. 7(20), 430–444 (2012)

    Article  Google Scholar 

  8. Riddell, C., Song, X.: The role of education in technology use and adoption: evidence from the Canadian workplace and employee survey. Sage J. 70(5) (2017)

    Google Scholar 

  9. Teo, T., Huang, F., Ka, C., Hoi, W.: Explicating the influences that explain intention to use technology among English teachers in China. Interact. Learn. Environ. 26(4), 460–475 (2017). https://doi.org/10.1080/10494820.2017.1341940

    Article  Google Scholar 

  10. Goh, C.F., Hii, P.K., Tan, O.K., Rasli, A.: Why do university teachers use e-learning systems? Int. Rev. Res. Open Distrib. Learn. 21(2), 136–155 (2020)

    Google Scholar 

  11. Fawaz, M., Samaha, A.: E-learning: depression, anxiety, and stress symptomatology among Lebanese university students during COVID-19 quarantine. Nurs Forum 56, 52–57 (2021)

    Article  Google Scholar 

  12. Olaniran, B., Agnello, M.: Globalization, educational hegemony, and higher education. Multicultural Educ. Technol. J. 2(2), 68–86 (2008)

    Google Scholar 

  13. Brown, S., Venkatesh, V.: Model of adoption of technology in households: a baseline model test and extension incorporating household life cycle. MIS Q. 29(3), 399–436 (2005)

    Google Scholar 

  14. Al-Hujran, O., Al-Lozi, E., Al-Debei, M.: “Get ready to mobile learning”: examining factors affecting college students’ behavioral intentions to use m-learning in Saudi Arabia. Int. J. Bus. Adm. 10(1), 16 (2014)

    Google Scholar 

  15. Kasse, J.P., Moya, M., Nansubuga, A.: Facilitating condition for e-learning adoption—case of Ugandan universities. J. Commun. Comput. 12, 244–249 (2015)

    Google Scholar 

  16. Josephat, O.O., Herbert, W., Ngumbuke, F.: Challenges of e-learning in developing countries: the Ugandan experience. In: Proceedings of INTED2012 Conference (2012)

    Google Scholar 

  17. Venkatesh, V., Thong, J., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178 (2012). Accessed 4 Apr 2021

    Google Scholar 

  18. Kamarianos, I., Adamopoulou, A., Lambropoulos, H., Stamelos, G.: Towards an understanding of university students’ response in times of pandemic crisis (COVID-19). Eur. J. Educ. Stud. 7(7) (2020)

    Google Scholar 

  19. Davis, R., Wong, D.: Conceptualizing and measuring the optimal experience of the elearning environment. Decis. Sci. 5(1), 97–126 (2007)

    Google Scholar 

  20. Shah, S., Diwan, S., Kohan, L., Rosenblum, D., Gharibo, C., Soin, A., et al.: The technological impact of COVID-19 on the future of education and health care delivery. Pain Phys. 23, 367–380 (2020)

    Article  Google Scholar 

  21. Al-Qahtani, A., Higgins, S.E.: Effects of traditional, blended and e-learning on students’ achievement in higher education. J. Comput. Assist. Learn. 29(3), 220–234 (2013)

    Article  Google Scholar 

  22. Mann, H.B., Whitney, D.R.: On a test of whether one of two random variables is stochastically larger than the other. Ann. Math. Statist. 8(1), 50–60 (1947)

    Google Scholar 

  23. MacKnight, P., Najab, J.: Mann-Whitney U Test. Mathematics (2010)

    Google Scholar 

  24. Kutner, M.H., Nachtsheim, C.J., Neter, J., Li, W.: Inferences in regression and correlation analysis. In: Applied Linear Statistical Models (International Edition), 5th edn., pp. 40–99. McGraw-Hill/Irvin, Singapore (2005)

    Google Scholar 

  25. Garrison, D.R.: Computer conferencing: the post-industrial age of distance education. Open Learn. 12(2), 3–11 (1997)

    Article  Google Scholar 

  26. Aoun, G., Mallah Boustani, N.: Impact of innovation on master programs in business schools. In: INTED2017 Proceedings, pp. 1086–1094 (2017). https://doi.org/10.21125/inted.2017.0405

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Nada Mallah Boustani or May Merhej Sayegh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mallah Boustani, N., Merhej Sayegh, M. (2021). E-learning: Factors Affecting Students Online Learning During COVID-19 Quarantine in a Developing Country. In: Saad, I., Rosenthal-Sabroux, C., Gargouri, F., Arduin, PE. (eds) Information and Knowledge Systems. Digital Technologies, Artificial Intelligence and Decision Making. ICIKS 2021. Lecture Notes in Business Information Processing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-030-85977-0_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-85977-0_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85976-3

  • Online ISBN: 978-3-030-85977-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics