IDEAS home Printed from https://ideas.repec.org/a/ibn/eltjnl/v16y2023i6p45.html
   My bibliography  Save this article

Technology Acceptance among English Pre-service Teachers: A Path Analysis Approach

Author

Listed:
  • Sudsuang Yutdhana
  • Kyle Nathan Kohler

Abstract

Incorporating technology in English language teaching practices has the potential to generate more lively and captivating learning experiences for learners. The challenge lies in adequately equipping pre-service English language teachers with the skills to seamlessly incorporate technology in their teaching methods and improve students' academic performance, despite their favorable perception of its usefulness. The study aimed to shed light on the factors that contribute to pre-service teachers' acceptance of technology and to determine the applicability of the Technology Acceptance Model in the context of English language Teaching (ELT). For this study, the framework developed by Teo (2009) was utilized. The participants were 286 English pre-service teachers. The study identified 21 pairs of factors that positively and significantly affect technology acceptance, with Perceived Usefulness having the highest correlation coefficient and Facilitating Conditions having the lowest. The path analysis of the technology acceptance model revealed that while the model was a good fit for this study, there were two non-significant paths. Perceived Ease of Use and Perceived Usefulness were found to directly affect technology acceptance, while Technological Complexity and Facilitating Conditions had indirect effects through Perceived Ease of Use and Perceived Usefulness. The results of this study showed that interventions to improve technology acceptance amongst pre-service teachers should take into account direct and indirect factors.

Suggested Citation

  • Sudsuang Yutdhana & Kyle Nathan Kohler, 2023. "Technology Acceptance among English Pre-service Teachers: A Path Analysis Approach," English Language Teaching, Canadian Center of Science and Education, vol. 16(6), pages 1-45, June.
    • Handle: RePEc:ibn:eltjnl:v:16:y:2023:i:6:p:45
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/elt/article/download/0/0/48747/52524
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/elt/article/view/0/48747
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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. Wesam Fallatah & Joakim Kävrestad & Steven Furnell, 2024. "Establishing a Model for the User Acceptance of Cybersecurity Training," Future Internet, MDPI, vol. 16(8), pages 1-12, August.
    2. 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.
    3. Marjan Shamsi & Tatiana Iakovleva & Espen Olsen & Richard P. Bagozzi, 2021. "Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    4. 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.
    5. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    6. Sindhu Singh & R. K. Srivastava, 2020. "Understanding the intention to use mobile banking by existing online banking customers: an empirical study," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 25(3), pages 86-96, December.
    7. 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.
    8. Ladhari, Riadh & Massa, Elodie & Skandrani, Hamida, 2020. "YouTube vloggers’ popularity and influence: The roles of homophily, emotional attachment, and expertise," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    9. Casaló, Luis V. & Flavián, Carlos & Guinalíu, Miguel, 2010. "Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions," Tourism Management, Elsevier, vol. 31(6), pages 898-911.
    10. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits: survey in connection with the research project "Finnish payment habits 2010"," Bank of Finland Research Discussion Papers 32/2006, Bank of Finland.
    11. Frishammar, Johan & Essén, Anna & Bergström, Frida & Ekman, Tilda, 2023. "Digital health platforms for the elderly? Key adoption and usage barriers and ways to address them," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    12. 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.
    13. 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.
    14. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    15. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    16. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    17. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    18. 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).
    19. Mohamed Bouteraa & Brahim Chekima & Nelson Lajuni & Ayesha Anwar, 2023. "Understanding Consumers’ Barriers to Using FinTech Services in the United Arab Emirates: Mixed-Methods Research Approach," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    20. Fang Li & Sheng Zhang & Yuhuan Jin, 2018. "Sustainability of University Technology Transfer: Mediating Effect of Inventor’s Technology Service," Sustainability, MDPI, vol. 10(6), pages 1-17, June.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:eltjnl:v:16:y:2023:i:6:p:45. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.