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Extending the Technology Acceptance Model to Explore Students’ Intention to Use an Online Education Platform at a University in China

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  • Liqiu Zhou
  • Sijia Xue
  • Ruiqian Li

Abstract

While online education has been increasingly adopted in different educational systems across the world, it is still a recent phenomenon in developing countries such as China. Various factors could affect learners’ adoption of technology, including their online learning. In this study, we took the Technology Acceptance Model as the theoretical framework and extended the Model by including extra external variables and one perceived variable to explore factors influencing learners’ intention to use an online education platform. A total of 276 college students from a university in mainland China participated in the study. Results showed that 9 of the 12 hypotheses proposed were supported. External variables such as Online Course Design, Perceived System Quality, and Perceived Enjoyment, along with an extra perceived variable (Perceived Interaction) have been identified as effective predictors of learners’ intention to use the education platform. Implications of the findings are discussed and suggestions for future research are provided.

Suggested Citation

  • Liqiu Zhou & Sijia Xue & Ruiqian Li, 2022. "Extending the Technology Acceptance Model to Explore Students’ Intention to Use an Online Education Platform at a University in China," SAGE Open, , vol. 12(1), pages 21582440221, March.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:1:p:21582440221085259
    DOI: 10.1177/21582440221085259
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
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    Cited by:

    1. Melissa Ng Lee Yen Abdullah & Tan Saw Fen & Mohd Ali Samsudin & Sim Tze Ying & Fung Chorng Yuan, 2024. "Factors Influencing Undergraduate Students’ Online Learning Outcomes: A Structural Equation Modeling," SAGE Open, , vol. 14(2), pages 21582440241, June.
    2. Mădălin-Dorin Pop & Adrian Pavel Pugna & Vladimir-Ioan Crețu & Sabina Alina Potra, 2022. "Two Years of Hybrid Education in Romania: A Comparative Overview of the Students’ Expectations for the Online Educational Platforms," Sustainability, MDPI, vol. 14(21), pages 1-27, October.
    3. Mohd Fairuz Adnan & Azzihan Nurfarahin Bahrudin & Saleh Hashim, 2024. "Factors Influencing the Adoption of Artificial Intelligence (AI) Based Accounting System in Malaysian Organization: A Conceptual Paper," Accounting and Finance Research, Sciedu Press, vol. 13(2), pages 1-80, May.

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