IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13529-d1236836.html
   My bibliography  Save this article

Exploring the User Acceptance of Online Interactive Mechanisms for Live-Streamed Teaching in Higher Education Institutions

Author

Listed:
  • Yaxi Huang

    (School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Li Pan

    (School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Yiran Wang

    (School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Ziting Yan

    (School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Yifei Chen

    (School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Xin Hao

    (School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China)

  • Tiansheng Xia

    (School of Art and Design, Guangdong University of Technology, Guangzhou 510090, China)

Abstract

With the advancement of technology and the development of society, live-streamed teaching, characterized by real-time interaction between teachers and students, has emerged as a new form of online education and has rapidly evolved in practice. However, in online live-streamed teaching, there are still various issues, such as insufficient teacher–student interaction and interactive functionalities, that fail to meet learners’ needs. These issues impact the efficiency and user experience of online live-streamed teaching. Currently, scholars mostly examine these issues from the perspective of online teaching system design, paying less attention to exploring the interactive mechanisms from the point of view of user perception. Within the context of Chinese education, based on the technology acceptance model, this study investigated student personality traits, interactive motivations, and platform interactive functionalities, and the aim of this study was to explore the influencing factors and mechanisms of online live-streamed teaching interactions. A total of 281 university students participated in the survey, and the results indicated that the platform’s interactive functionalities significantly and positively predicted perceived usability and perceived ease of use. Moreover, the students’ personality traits significantly and positively predicted interaction motivations and usage attitudes. Furthermore, usage attitudes significantly and positively predicted interactive behavior. A mediation analysis revealed that perceived usability and perceived ease of use mediated the relationship between the platform’s interactive functionalities and usage attitudes. Additionally, interaction motivations mediated the relationship between the students’ personality traits and interactive behavior. We discuss the potential implications and practical significance of the current research findings. The results of this study offer viable strategies for enhancing current online educational practices, aiding educational designers in order to better organize and promote online educational interactions to elevate student engagement and advance the sustainable development of digital education.

Suggested Citation

  • Yaxi Huang & Li Pan & Yiran Wang & Ziting Yan & Yifei Chen & Xin Hao & Tiansheng Xia, 2023. "Exploring the User Acceptance of Online Interactive Mechanisms for Live-Streamed Teaching in Higher Education Institutions," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13529-:d:1236836
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13529/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13529/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Bernard Burnes, 2004. "Kurt Lewin and the Planned Approach to Change: A Re‐appraisal," Journal of Management Studies, Wiley Blackwell, vol. 41(6), pages 977-1002, September.
    3. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dusanka Boskovic & Dzenana Husremovic & Merima Muslic & Amra Kapo, 2023. "Teachers and Students as Promoters or Repressors of Sustainable Education: Navigating the Blended Learning Landscape," Sustainability, MDPI, vol. 15(24), pages 1-13, December.

    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. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    2. 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.
    3. 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.
    4. 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.
    5. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    6. 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.
    7. 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.
    8. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    9. 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.
    10. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    11. 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.
    12. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    13. Cliff R. Kikawa & Charity Kiconco & Moses Agaba & Dimas Ntirampeba & Amos Ssematimba & Billy M. Kalema, 2022. "Social Media Marketing for Small and Medium Enterprise Performance in Uganda: A Structural Equation Model," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    14. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    15. Wu, Wei-Wen & Lan, Lawrence W. & Lee, Yu-Ting, 2011. "Exploring decisive factors affecting an organization's SaaS adoption: A case study," International Journal of Information Management, Elsevier, vol. 31(6), pages 556-563.
    16. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    17. Sohn, Stefanie, 2017. "A contextual perspective on consumers' perceived usefulness: The case of mobile online shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 22-33.
    18. Vishal K. Gupta & Suman Niranjan & Banu A. Goktan & John Eriskon, 2016. "Individual entrepreneurial orientation role in shaping reactions to new technologies," International Entrepreneurship and Management Journal, Springer, vol. 12(4), pages 935-961, December.
    19. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    20. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

    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:15:y:2023:i:18:p:13529-:d:1236836. 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.