IDEAS home Printed from https://ideas.repec.org/a/igg/jopcd0/v13y2023i1p1-22.html

A Technology-Acceptance-Model-Based Study of the Attitudes Towards Learning Management Systems Among Teachers During the COVID-19 Pandemic

Author

Listed:
  • Tahani I. Aldosemani

    (Prince Sattam Bin Abdulaziz University, Saudi Arabia)

Abstract

There is an emergent need to examine teachers' acceptance of distance education through LMS during emergencies to leverage online teaching and learning to enhance teachers' future readiness for digital transformation in education. This study explores Saudi teachers' perceptions of Madrasati (national e-learning system). It investigates its ease of use, usefulness, behavioural intention to use the system, and its actual use in association with external factors from teachers' perspective to identify the platform's most supportive elements during remote online teaching due to the COVID-19 pandemic. The findings from 197 participants show that teachers positively perceived Madrasati regarding the system's external variables, including content quality, teaching support, visual design, system navigation features, ease of access, system interactivity, and instructional assessment tools, and they positively perceived the system's learnability.

Suggested Citation

  • Tahani I. Aldosemani, 2023. "A Technology-Acceptance-Model-Based Study of the Attitudes Towards Learning Management Systems Among Teachers During the COVID-19 Pandemic," International Journal of Online Pedagogy and Course Design (IJOPCD), IGI Global Scientific Publishing, vol. 13(1), pages 1-22, January.
    • Handle: RePEc:igg:jopcd0:v:13:y:2023:i:1:p:1-22
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJOPCD.325240
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    2. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tajuzzaman Hassanor & Raziana Che Aziz & Sharifah Rosfashida Syed Abd Latif, 2025. "Ensuring Quality Education in Open Distance Learning: A Case Study on HTML5 Integration in a Project Management Undergraduate Course," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(8), pages 331-345, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    2. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    3. van de Sanden, Stephanie & Willems, Kim & Brengman, Malaika, 2022. "How customers motive attributions impact intentions to use an interactive kiosk in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    4. Hsing-Wei Tai & Kuo-Tai Cheng & Chia-Chen Wei & Lin Liu, 2025. "Investigating the Adoption Mindset of Smart City Technology Within the Construction Sector," SAGE Open, , vol. 15(3), pages 21582440251, August.
    5. Alex Mari & Andreina Mandelli & René Algesheimer, 2023. "Shopping with Voice Assistants: How Empathy Affects Individual and Family Decision-Making Outcomes," Working Papers 399, University of Zurich, Department of Business Administration (IBW).
    6. Ivan Ðula & Tabea Berberena & Ksenia Keplinger & Maria Wirzberger, 2024. "From challenges to opportunities: navigating the human response to automated agents in the workplace," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    7. Sang Soo Kim, 2020. "Purchase Intention in the Online Open Market: Do Concerns for E-Commerce Really Matter?," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    8. Arpan Kumar Kar, 2021. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 23(5), pages 1341-1361, September.
    9. Paul Stefan MARKOVITS, 2024. "Assesing Romanian Farmers’ Motivation For Digitalization: A Unified Theory Of Acceptance And Usage Of Technology (Utaut) Based Research Model," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 9(1), pages 98-112, March.
    10. Naser Zamani & Fatemeh Kazemi & Ehsan Masoomi, 2021. "Determinants of entrepreneurial knowledge and information sharing in professional virtual learning communities created using mobile messaging apps," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 113-127, December.
    11. Christian Theres & Stefan Strohmeier, 2024. "Consolidating the theoretical foundations of digital human resource management acceptance and use research: a meta-analytic validation of UTAUT," Management Review Quarterly, Springer, vol. 74(4), pages 2683-2715, December.
    12. G. M. Azmal Ali Quaosar & Md. Abidur Rahman & Md. Siddikur Rahman, 2024. "Factors Affecting the Adoption of HRIS: An Empirical Study Using Extended UTAUT2 Model," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(3), pages 213-213, June.
    13. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.
    14. Federico Iannacci & Colm Fearon & Kristine Pole, 2021. "From Acceptance to Adaptive Acceptance of Social Media Policy Change: a Set-Theoretic Analysis of B2B SMEs," Information Systems Frontiers, Springer, vol. 23(3), pages 663-680, June.
    15. Arpan Kumar Kar, 0. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    16. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    17. Zuwen Zhou & Huanhuan Qi & Zhuofan Li & Chen Wang & Huiying Qi & Liping Guo, 2025. "Unlocking medical students’ adoption of AIGC tools: a multi-theory perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    18. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(C).
    19. Sarker, Prianka & Hughes, Laurie & Malik, Tegwen & Dwivedi, Yogesh K., 2025. "Examining consumer adoption of social commerce: An extended META-UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    20. Saira Saira & Sheeraz Ali & Callistus D. Odeh, 2025. "The Impact of Technology on Business in the United Arab Emirates: A Technology Acceptance Model Perspective," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 24(2), pages 462-490.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jopcd0:v:13:y:2023:i:1:p:1-22. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.