IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p5455-d807138.html
   My bibliography  Save this article

Using Digital Technologies for Testing Online Teaching Skills and Competencies during the COVID-19 Pandemic

Author

Listed:
  • Mohammed Abdullatif Almulla

    (Department of Curriculum and Instruction, Faculty of Education, King Faisal University, Al Ahsa 31982, Saudi Arabia)

Abstract

This study examines the online teaching abilities and competencies needed to teach online courses in Saudi Arabia’s higher education system. As a result, the goal of this study was to examine and expand the technology acceptance model (TAM) to assess online teaching abilities and competences utilizing digital technologies in higher education during the COVID-19 epidemic. Therefore, it aimed to develop a new model to measure and explore critical factors that influence online teaching skills, competencies, and actual use of digital tools in higher education. The participants in the study were 350 lecturers at King Faisal University. The research data were analyzed using structural equation modeling (AMOS-SEM). The findings revealed that: (a) perceived ease of use and perceived usefulness on using digital tools during the COVID-19 pandemic has a direct positive impact on perceived teaching self-efficacy, perceived enjoyment, online teaching skills, and digital tools access; (b) perceived ease of use and perceived usefulness of using digital tools have a direct positive impact on lecturers’ attitude toward use and lecturers’ behavioral intention to use digital tools during the COVID-19 pandemic; and (c) perceived ease of use. As a consequence of the findings, a validated instrument was designed to assess and investigate crucial elements that impact lecturers’ real usage of digital technologies for teaching and learning in Saudi Arabia’s higher education.

Suggested Citation

  • Mohammed Abdullatif Almulla, 2022. "Using Digital Technologies for Testing Online Teaching Skills and Competencies during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(9), pages 1-18, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5455-:d:807138
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/5455/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/9/5455/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ali Mugahed Al-Rahmi & Waleed Mugahed Al-Rahmi & Uthman Alturki & Ahmed Aldraiweesh & Sultan Almutairy & Ahmad Samed Al-Adwan, 2021. "Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Mohammed Abdullatif Almulla, 2020. "The Effectiveness of the Project-Based Learning (PBL) Approach as a Way to Engage Students in Learning," SAGE Open, , vol. 10(3), pages 21582440209, July.
    4. Ali Mugahed Al-Rahmi & Alina Shamsuddin & Uthman Alturki & Ahmed Aldraiweesh & Farahwahida Mohd Yusof & Waleed Mugahed Al-Rahmi & Abdulmajeed A. Aljeraiwi, 2021. "The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    5. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    6. Waleed Mugahed Al-Rahmi & Salem Alkhalaf, 2021. "An empirical investigation of adoption Big Data in higher education sustainability," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(2), pages 108-122, December.
    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. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    2. Sanghyun Kim & Gary Garrison, 2009. "Investigating mobile wireless technology adoption: An extension of the technology acceptance model," Information Systems Frontiers, Springer, vol. 11(3), pages 323-333, July.
    3. Tamara Dinev & Paul Hart, 2006. "An Extended Privacy Calculus Model for E-Commerce Transactions," Information Systems Research, INFORMS, vol. 17(1), pages 61-80, March.
    4. Mahdi Mohammed Alamri, 2023. "A Model of E-Learning through Achievement Motivation and Academic Achievement among University Students in Saudi Arabia," Sustainability, MDPI, vol. 15(3), pages 1-25, January.
    5. Suhail Ahmad Bhat & Mushtaq Ahmad Darzi, 2019. "Exploring the Influence of Consumer Demographics on Online Purchase Benefits," FIIB Business Review, , vol. 8(4), pages 303-316, December.
    6. Omar A. Alismaiel, 2023. "Digital Media Used in Education: The Influence on Cyberbullying Behaviors among Youth Students," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    7. Chang, Man-Kit & Cheung, Waiman & Cheng, Chun-Hung & Yeung, Jeff H.Y., 2008. "Understanding ERP system adoption from the user's perspective," International Journal of Production Economics, Elsevier, vol. 113(2), pages 928-942, June.
    8. Merikivi, J. & Verhagen, T. & Feldberg, J.F.M., 2010. "Having belief(s) in social virtual worlds: A decomposed approach," Serie Research Memoranda 0010, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    9. Uthman Alturki & Ahmed Aldraiweesh, 2022. "Adoption of Google Meet by Postgraduate Students: The Role of Task Technology Fit and the TAM Model," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    10. Mohammad Hasan Galib & Khalid Ait Hammou & Jennifer Steiger, 2018. "Predicting Consumer Behavior: An Extension of Technology Acceptance Model," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(3), pages 1-73, August.
    11. Mihaela Moca & Alina Badulescu, 2023. "Determinants of Economical High School Students’ Attitudes toward Mobile Devices Use," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    12. Haider Ali Abbasi & Satirenjit Kaur Johl & Zullina Bt Hussain Shaari & Wajiha Moughal & Muhammad Mazhar & Muhammad Ali Musarat & Waqas Rafiq & Asaad Salam Farooqi & Alexey Borovkov, 2021. "Consumer Motivation by Using Unified Theory of Acceptance and Use of Technology towards Electric Vehicles," Sustainability, MDPI, vol. 13(21), pages 1-22, November.
    13. Alireza Tamjidyamcholo & Sameer Kumar & Ainin Sulaiman & Rahmatollah Gholipour, 2016. "Willingness of members to participate in professional virtual communities," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2515-2534, November.
    14. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    15. Huang, Tony Cheng-Kui & Liu, Chuang-Chun & Chang, Dong-Cheng, 2012. "An empirical investigation of factors influencing the adoption of data mining tools," International Journal of Information Management, Elsevier, vol. 32(3), pages 257-270.
    16. Omar A. Alismaiel, 2021. "Using Structural Equation Modeling to Assess Online Learning Systems’ Educational Sustainability for University Students," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    17. Omar A. Alismaiel & Javier Cifuentes-Faura & Waleed Mugahed Al-Rahmi, 2022. "Online Learning, Mobile Learning, and Social Media Technologies: An Empirical Study on Constructivism Theory during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(18), pages 1-15, September.
    18. Sanduni I. Senaratne & Samantha M. Samarasinghe, 2019. "Factors Affecting the Intention to Adopt M-Learning," International Business Research, Canadian Center of Science and Education, vol. 12(2), pages 150-164, February.
    19. Mohammed Abdullatif Almulla & Waleed Mugahed Al-Rahmi, 2023. "Integrated Social Cognitive Theory with Learning Input Factors: The Effects of Problem-Solving Skills and Critical Thinking Skills on Learning Performance Sustainability," Sustainability, MDPI, vol. 15(5), pages 1-26, February.
    20. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.

    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:gam:jsusta:v:14:y:2022:i:9:p:5455-:d:807138. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.