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Adoption of Learning Management Systems in Higher Education: A Qualitative Analysis of Enabling Factors

Godwill Chenyuei Akwene
University of Buea, Cameroon

Published 2024-02-27

Keywords

  • Learning management system, adoption, enabling factors, teaching-learning effectiveness

Abstract

The widespread and affordability of multimedia devices such as computers, smartphones and iPads among others has now facilitated teaching and learning to take place in formal as well as informal settings. The teaching and learning process can now be encaged at any time from any part of the globe and open to all through the use of hardware and software, converging teacher and students in an online platform. This study has as objective to examine factors that amplify the adoption of Learning Management Systems, especially after the outbreak of COVID -19 which called for social distancing that left many schools on the global platform in a state of pandemonium. The sudden shutdown of schools and the need to ensure continuity in schooling left no option for institutions at all levels to adopt the new technology of learning online. The changing trends in education have enabled the development of ubiquitous Learning Management System (LMS) to resolve the challenge of continuous schooling in the face of crisis. LMS is a virtual environment designed to connect teachers and students in an online platform. This study which used qualitative descriptive method with an emphasis on thematic content analysis seeks to investigate enabling factors for the integration of LMS in the 21st century classroom. Informants consisted of 8 teachers drawn from two private universities. The findings of the study revealed that critical factors, classified as technology factors, social influence factors and human factors will influence the integration of LMS in the school. This paper therefore provides insight of enabling factors and hence learning effectiveness.

References

  1. Akwene, G. C., & Fouda, M. N. (2022). Multimedia-Influence-Achievement Model (MIAM): Proposed new model as predictive determinant of academic achievement. Cadernos de Educação Tecnologia e Sociedade, 15(3), 297-308.
  2. Ansong, E., Lovia Boateng, S., & Boateng, R. (2017). Determinants of e-learning adoption in universities: Evidence from a developing country. Journal of Educational Technology Systems, 46(1), 30-60.
  3. Abdallah, N. A., Ahlan, A. R., & Abdullah, O. A. (2019). The role of quality factors on learning management systems adoption from instructors’ perspectives. The Online Journal of Distance Education and e- Learning, 7(2), 133.
  4. Adzharuddin, N.A & Ling, L.H. (2013). Learning management system (LMS) among university students. Does it work? International Journal of e-Education, e-Management and e- learning. Vol 3, No.3, 248-252.
  5. Alemnge, F. L. (2018). Distance learning models and their effusiveness in Cameroon higher education. Creative Education, 9(5), 791-817.
  6. Alsadoon, E. (2018). Motivating Factors for Faculty to Use Web Applications in Education. Turkish Online Journal of Educational Technology-TOJET, 17(3), 73-90.
  7. Asamoah, M. K., & Oheneba-Sakyi, Y. (2023). Factors influencing the willingness, and reluctuance of lecturers to embrace learning management systems in two selected Ghanaian universities. E-Learning and Digital Media, 20427530231156172.
  8. Carvus, N., Uzunboylu, H. & Ibrahim, D. (2006). The effectiveness of using learning management systems and collaborative tools in web-based teaching of programming languages. Paper presented at the 3rd International Symposium and Education on Electrical, Electronic, and Computer Engineering (ISEECE 2006), 23-25 November, 2006, Near East University, Lefkoşa, Cyprus.
  9. Chao, C.M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT Model. Frontiers in Psychology, 10, 1652. doi: 10.3389/fpsyg.2019.01652
  10. Coleman, E. & Mtshazi, S. (2017). Factors affecting the use and non-use of learning management systems (LMS) by academic staff. South African Computer Journal. 29(3), 32-63. http://dx.doi.org/10.18489/sacj.v29i3.459
  11. Ebner, M., Schön, S., Braun, C., Ebner, M., Grigoriadis, Y., Haas, M., ... & Taraghi, B. (2020). COVID-19 epidemic as E-learning boost? Chronological development and effects at an Austrian university against the background of the concept of “E-Learning Readiness”. Future Internet, 12(6), 94.
  12. Fearnley, M. R., & Amora, J. T. (2020). Learning management system adoption in higher education using the Extended Technology Acceptance Model. IAFOR Journal of Education, 8(2), 89-106.
  13. Hamdani, M. (2019). Technology Acceptance in the Use of Social Networks by Teachers and Employees of Education Offices in Ahwaz. Turkish Online Journal of Educational Technology-TOJET, 18(1), 105-117.
  14. Haseli Songhor, M., Afrashteh, M., Afrashteh, S., & Afrashteh, N. (2024). Factors Affecting the Acceptance and Use of VADANA by Islamic Azad University of Zahedan Students during COVID-19 Pandemic: The Application of the UTAUT Model. Journal of New Trends in English Language Learning, 3(1), 1-16.
  15. Isman, A., & Dagdeviren, E. (2018). Diffusion of Twitter in Turkey. Turkish Online Journal of Educational Technology-TOJET, 17(4), 1-7.
  16. Lopes, A.P. (2014). Learning management systems in Higher Education. Proceedings of EDULEARN14 Conference 7th-9th July 2014, Barcelona, Spain. ISBN: 978-84-617-0557-3.
  17. Mpungose, C. B. (2020). Emergent transition from face-to-face to online learning in a South African University in the context of the Coronavirus pandemic. Humanities and social sciences communications, 7(1), 1-9.
  18. Mtani, H. & Mbelwa, J. (2022). Factors affecting learning management systems usage in higher learning institutions in Tanxania: A case study of Dodoma. International Journal of Education and Development using Information and Communication Technology, (IJEDICT), 18 (1) 7-26.
  19. Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2021). Social isolation and acceptance of the learning management system (LMS) in the time of COVID-19 pandemic: an expansion of the UTAUT model. Journal of Educational Computing Research, 59(2), 183-208.
  20. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
  21. Ziraba, A., Akwene, G.C., Nkea, A.A.M. & Lywanga, S.C. (2020). The adoption and use of moodle learning management system in higher institutions of learning: A systematic literature review. American Journal of Online and Distance Learning, Vol2 Issue 1, 1-20.