IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v9y2025issue-3p4457-4469.html
   My bibliography  Save this article

Computer Self-Efficacy and Computer Anxiety: The Effects on Technology Acceptance in Implementing Flipped Learning Approach

Author

Listed:
  • Siti Fatimah Abd. Rahman

    (International Islamic University Malaysia, Kulliyyah of Education, Selangor, Malaysia)

  • Noorlila Ahmad

    (International Islamic University Malaysia, Kulliyyah of Education, Selangor, Malaysia)

Abstract

The technology acceptance model was initially constructed to explain the behavioural intention in adopting and utilising an information system. The model has been widely used to investigate the level of technological innovation adoption, particularly in computers and information systems. This study investigates the effects of computer self-efficacy and computer anxiety on the ESL lecturers’ technology acceptance adapting flipped learning approach. 206 Malaysian ESL public university lecturers participated in this study. Structural equation modelling (SEM) was used to analyse the data on the effects of computer self-efficacy and computer anxiety on ESL lecturers’ decisions about whether or not to integrate flipped learning in their teaching and learning. The findings show that Malaysian ESL lecturers are not stressed about handling new technology (software or hardware) and possess high computer self-efficacy. This result could help lecturers and stakeholders adapt and integrate flipped learning into teaching and learning.

Suggested Citation

  • Siti Fatimah Abd. Rahman & Noorlila Ahmad, 2025. "Computer Self-Efficacy and Computer Anxiety: The Effects on Technology Acceptance in Implementing Flipped Learning Approach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3), pages 4457-4469, March.
  • Handle: RePEc:bcp:journl:v:9:y:2025:issue-3:p:4457-4469
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-9-issue-3/4457-4469.pdf
    Download Restriction: no

    File URL: https://rsisinternational.org/journals/ijriss/articles/computer-self-efficacy-and-computer-anxiety-the-effects-on-technology-acceptance-in-implementing-flipped-learning-approach/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kim, Yong Jin & Chun, Jae Uk & Song, Jaeki, 2009. "Investigating the role of attitude in technology acceptance from an attitude strength perspective," International Journal of Information Management, Elsevier, vol. 29(1), pages 67-77.
    2. Michelle Jones, 2016. "A Case Study of Blended Learning in Higher Education in Malaysia: Flipped, Flopped or Forgotten?," Proceedings of Teaching and Education Conferences 3906504, International Institute of Social and Economic Sciences.
    3. Roach, Travis, 2014. "Student perceptions toward flipped learning: New methods to increase interaction and active learning in economics," International Review of Economics Education, Elsevier, vol. 17(C), pages 74-84.
    4. 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)

    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. Irianna Futri & Chavis Ketkaew & Phaninee Naruetharadhol, 2024. "Influential Factors Affecting the Intention to Utilize Advance Care Plans (ACPs) in Thailand and Indonesia," Societies, MDPI, vol. 14(8), pages 1-20, July.
    2. 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.
    3. Udo, Godwin J. & Bagchi, Kallol K. & Kirs, Peeter J., 2010. "An assessment of customers’ e-service quality perception, satisfaction and intention," International Journal of Information Management, Elsevier, vol. 30(6), pages 481-492.
    4. Pedro C. Santana-Mancilla & Luis E. Anido-Rifón, 2017. "The Technology Acceptance of a TV Platform for the Elderly Living Alone or in Public Nursing Homes," IJERPH, MDPI, vol. 14(6), pages 1-15, June.
    5. Saeideh Sharifi fard & Ezhar Tamam & Md Salleh Hj Hassan & Moniza Waheed & Zeinab Zaremohzzabieh, 2016. "Factors affecting Malaysian university students’ purchase intention in social networking sites," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1182612-118, December.
    6. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    7. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    8. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    9. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    10. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    11. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    12. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    13. Claudio Vitari & Elisabetta Raguseo, 2016. "Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data," Post-Print halshs-01923271, HAL.
    14. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    15. Xiaodan Zhou & Ling-Hsiu Chen & Chin-Ling Chen, 2019. "Collaborative Learning by Teaching: A Pedagogy between Learner-Centered and Learner-Driven," Sustainability, MDPI, vol. 11(4), pages 1-14, February.
    16. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    17. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    18. Mary D. Adu & Usman H. Malabu & Aduli E. O. Malau-Aduli & Aaron Drovandi & Bunmi S. Malau-Aduli, 2020. "Efficacy and Acceptability of My Care Hub Mobile App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes," IJERPH, MDPI, vol. 17(7), pages 1-18, April.
    19. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.
    20. Baicu Claudia Gabriela & Gârdan Iuliana Petronela & Gârdan Daniel Adrian & Epuran Gheorghe, 2020. "The impact of COVID-19 on consumer behavior in retail banking. Evidence from Romania," Management & Marketing, Sciendo, vol. 15(s1), pages 534-556, October.

    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:bcp:journl:v:9:y:2025:issue-3:p:4457-4469. 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.