IDEAS home Printed from https://ideas.repec.org/a/igg/jopcd0/v13y2023i1p1-22.html
   My bibliography  Save this article

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, 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: http://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.
    Full references (including those not matched with items on IDEAS)

    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. Haibei Chen & Xianglian Zhao, 2023. "Use intention of green financial security intelligence service based on UTAUT," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10709-10742, October.
    2. Iyer, Pooja & Bright, Laura F., 2024. "Navigating a paradigm shift: Technology and user acceptance of big data and artificial intelligence among advertising and marketing practitioners," Journal of Business Research, Elsevier, vol. 180(C).
    3. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    4. 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.
    5. Noor Irliana Mohd Rahim & Noorminshah A. Iahad & Ahmad Fadhil Yusof & Mohammed A. Al-Sharafi, 2022. "AI-Based Chatbots Adoption Model for Higher-Education Institutions: A Hybrid PLS-SEM-Neural Network Modelling Approach," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    6. 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.
    7. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    8. 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).
    9. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(C).
    10. Yogesh K Dwivedi & Elvira Ismagilova & Prianka Sarker & Anand Jeyaraj & Yassine Jadil & Laurie Hughes, 2023. "A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption," Information Systems Frontiers, Springer, vol. 25(4), pages 1421-1437, August.
    11. 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).
    12. María García de Blanes Sebastián & José Ramón Sarmiento Guede & Alberto Azuara Grande & David Juárez-Varón, 2024. "Analysis of factors influencing attitude and intention to use electric vehicles for a sustainable future," The Journal of Technology Transfer, Springer, vol. 49(4), pages 1347-1368, August.
    13. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    14. Yogesh K. Dwivedi & Elvira Ismagilova & Nripendra P. Rana & Ramakrishnan Raman, 2023. "Social Media Adoption, Usage And Impact In Business-To-Business (B2B) Context: A State-Of-The-Art Literature Review," Information Systems Frontiers, Springer, vol. 25(3), pages 971-993, June.
    15. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    16. Farah Alfanur & Yasuo Kadono, 2020. "Empirical Study Of Purchase Intention And Behavior Of E-Commerce Consumers In Indonesia," Malaysian E Commerce Journal (MECJ), Zibeline International Publishing, vol. 5(1), pages 20-28, December.
    17. Lavaei Adaryani, Rasool & Palouj, Mojtaba & Karbasioun, Mostafa & Asadi, Ali & Gholami, Hesamedin & Kianirad, Ali & Joodi Damirchi, Milad, 2024. "Antecedents of blockchain adoption in the poultry supply chain: An extended UTAUT model," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    18. Darja Topolšek & Dario Babić & Darko Babić & Tina Cvahte Ojsteršek, 2020. "Factors Influencing the Purchase Intention of Autonomous Cars," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    19. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    20. Amy Van Looy, 2022. "Employees’ attitudes towards intelligent robots: a dilemma analysis," Information Systems and e-Business Management, Springer, vol. 20(3), pages 371-408, September.

    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.