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Learners’ Continuous Use Intention of Blended Learning: TAM-SET Model

Author

Listed:
  • Xiulan Chen

    (School of Foreign Language, Huaqiao University, Quanzhou 362021, China)

  • Xiaofei Xu

    (School of Business Administration, Huaqiao University, Quanzhou 362021, China)

  • Yenchun Jim Wu

    (MBA Program in Southeast Asia, National Taipei University of Education, Taipei 106, Taiwan
    Department of Hospitality Management, Ming Chuan University, Taipei 111, Taiwan)

  • Wei Fong Pok

    (Faculty of Accountancy and Management, Universiti Tunku Abdul Rahman, Kajang 43000, Malaysia)

Abstract

Blended learning (BL) combines online and face-to-face teaching and learning and is thought to be an effective means to cultivate learners’ sustainability literacy. The success of BL relies on learners who take the initiative to participate in the learning process. Therefore, this study aims to examine learners’ acceptance of the BL system. The technology acceptance model (TAM) and the self-efficacy theory are combined to construct a systematic model to determine the learners’ continuous intention to adopt BL. Seven constructs are identified, i.e., course quality (CQ), technical support (TS), perceived usefulness (PU), perceived ease of use (PEOU), satisfaction (SE), self-efficacy (SE), and behavioral intentions (BI). A survey was conducted using a close-ended questionnaire, and 461 valid responses were collected from Huaqiao University’s undergraduate students. Covariance-based structural equation modelling was performed. The empirical findings show that except for the hypothesis regarding the connection between PU and PEOU, all the other hypotheses are verified. CQ stands out as having the greatest positive effect on PEOU, which highlights the importance of CQ for BL. The study also confirms that PU significantly impacts SA, SE, and BI, and both SA and SE significantly influence BI. Based on these results, some suggestions are provided for educators and administrators as to how to better design BL systems to strengthen sustainability education.

Suggested Citation

  • Xiulan Chen & Xiaofei Xu & Yenchun Jim Wu & Wei Fong Pok, 2022. "Learners’ Continuous Use Intention of Blended Learning: TAM-SET Model," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16428-:d:997407
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    References listed on IDEAS

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    1. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang & Lee, Cheng fang, 2022. "Adoption model of healthcare wearable devices," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Simon Ling & Adam Landon & Michael Tarrant & Donald Rubin, 2021. "The Influence of Instructional Delivery Modality on Sustainability Literacy," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    3. Paul Micklethwaite, 2022. "Sustainable Design Masters: Increasing the Sustainability Literacy of Designers," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    4. Muhammad Shahbaz & Changyuan Gao & Lili Zhai & Fakhar Shahzad & Muhammad Rizwan Arshad, 2020. "Moderating Effects of Gender and Resistance to Change on the Adoption of Big Data Analytics in Healthcare," Complexity, Hindawi, vol. 2020, pages 1-13, January.
    5. Ming-Ni Chan & Daisuke Nagatomo, 2021. "Study of STEM for Sustainability in Design Education: Framework for Student Learning and Outcomes with Design for a Disaster Project," Sustainability, MDPI, vol. 14(1), pages 1-15, December.
    6. 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.
    7. Amer Mutrik Sayaf & Mahdi Mohammed Alamri & Mohammed Ayid Alqahtani & Waleed Mugahed Al-Rahmi, 2021. "Information and Communications Technology Used in Higher Education: An Empirical Study on Digital Learning as Sustainability," Sustainability, MDPI, vol. 13(13), pages 1-19, June.
    8. Ibrahim Youssef Alyoussef, 2021. "Massive Open Online Course (MOOCs) Acceptance: The Role of Task-Technology Fit (TTF) for Higher Education Sustainability," Sustainability, MDPI, vol. 13(13), pages 1-14, July.
    9. Oded Nov & Chen Ye, 2008. "Users' personality and perceived ease of use of digital libraries: The case for resistance to change," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 845-851, March.
    Full references (including those not matched with items on IDEAS)

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