IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i10p4240-d1396899.html
   My bibliography  Save this article

A Study on the Factors Influencing the Sustainable Development of Education in the Context of COVID-19: Tencent Conference Online Platform

Author

Listed:
  • Xin Wang

    (Anhui Cultural Tourism Innovative Development Research Institute, Anhui Jianzhu University, Hefei 230601, China)

  • Xingmeng Ma

    (Social Innovation Design Research Center, Anhui University, Hefei 203106, China)

  • Ziyi Wang

    (Anhui Cultural Tourism Innovative Development Research Institute, Anhui Jianzhu University, Hefei 230601, China)

  • Yanlong Guo

    (Social Innovation Design Research Center, Anhui University, Hefei 203106, China)

Abstract

The difficulties of offline education caused by the COVID-19 epidemic are attracting increasing public attention. Although international research on online education platforms is gradually deepening, the research on the influencing factors of Chinese users’ participation in these platforms shows different results due to regional differences. Therefore, this study adopts the technology acceptance model (TAM) as the basis to build the index system of influencing factors for the Tencent conference online education platform. The questionnaire design covered five dimensions, including external environment, platform satisfaction, and continuous use intention. An online questionnaire survey was conducted on participants in some regions of China, 320 questionnaires were distributed, and 297 valid questionnaires were collected. The data were analyzed by SPSS 26.0, and the results of Cronbach’s coefficient of 0.939 and a KMO value of 0.941 were obtained. The weight value, entropy value, and importance ranking of the factors were determined by combining hierarchical analysis and the entropy weighting method. First, the perceived ease of use is the most critical factor influencing the users’ use of online delivery platforms. Second, freedom from geographical time difference, the ease of operation, system perfection, and proficiency in use greatly influenced the participants’ use of the online lecture platform. Third, the study group suggested that the platform should be optimized in terms of convenience, stability, and freedom from geographical time difference, and provide reasonable references and lessons for future educational efforts.

Suggested Citation

  • Xin Wang & Xingmeng Ma & Ziyi Wang & Yanlong Guo, 2024. "A Study on the Factors Influencing the Sustainable Development of Education in the Context of COVID-19: Tencent Conference Online Platform," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:4240-:d:1396899
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/10/4240/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/10/4240/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Monica Ioana Burcă-Voicu & Romana Emilia Cramarenco & Dan-Cristian Dabija, 2022. "Investigating Learners’ Teaching Format Preferences during the COVID-19 Pandemic: An Empirical Investigation on an Emerging Market," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    2. Xiangju Yin & Yiming Huang & Xin Zhang & Yuqian Chen & Mingyue Wang & Hongwei Qian, 2022. "Influencing Factors and Improvement Path of Academic Engagement among College Students in the Context of Epidemic Prevention and Control," IJERPH, MDPI, vol. 19(19), pages 1-15, October.
    3. Irida Hoti & Blerta Dragusha & Valentina Ndou, 2022. "Online Teaching during the COVID-19 Pandemic: A Case Study of Albania," Administrative Sciences, MDPI, vol. 12(3), pages 1-18, September.
    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.
    5. Xuerong Liu & Zheng Gong & Kuan Miao & Peiyi Yang & Hongli Liu & Zhengzhi Feng & Zhiyi Chen, 2022. "Attitude and Performance for Online Learning during COVID-19 Pandemic: A Meta-Analytic Evidence," IJERPH, MDPI, vol. 19(19), pages 1-14, October.
    6. Hailiang Wang & Jiaxin Zhang & Yan Luximon & Mingfu Qin & Ping Geng & Da Tao, 2022. "The Determinants of User Acceptance of Mobile Medical Platforms: An Investigation Integrating the TPB, TAM, and Patient-Centered Factors," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
    7. Renata Walczak & Magdalena Kludacz-Alessandri & Liliana Hawrysz, 2022. "Use of Telemedicine Technology among General Practitioners during COVID-19: A Modified Technology Acceptance Model Study in Poland," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    8. Sisi Que & Hanyu Luo & Liang Wang & Wenqiang Zhou & Shaochun Yuan, 2020. "Canonical Correlation Study on the Relationship between Shipping Development and Water Environment of the Yangtze River," Sustainability, MDPI, vol. 12(8), pages 1-11, April.
    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. Jui-Che Tu & Xi-Hui Jia, 2024. "A Study on Immersion and Intention to Pay in AR Broadcasting: Validating and Expanding the Hedonic Motivation System Adoption Mode," Sustainability, MDPI, vol. 16(5), pages 1-37, February.
    3. Fan Xu & Jing Hu & Duanduan Liu & Chao Zhou, 2024. "Towards Sustainable Healthcare: Exploring Factors Influencing Use of Mobile Applications for Medical Escort Services," Sustainability, MDPI, vol. 16(14), pages 1-19, July.
    4. Sameena Naaz & Sarah Ali Khan & Farheen Siddiqui & Shahab Saquib Sohail & Dag Øivind Madsen & Asad Ahmad, 2022. "OdorTAM: Technology Acceptance Model for Biometric Authentication System Using Human Body Odor," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    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. 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.
    11. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    16. Waqar Younas & K. Ramanathan Kalimuthu, 2021. "Telecom microfinance banking versus commercial banking: a battle in the financial services sector," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(2), pages 67-80, June.
    17. 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.
    18. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    19. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    20. Proserpio, Luigi & Magni, Massimo, 2012. "Teaching without the teacher? Building a learning environment through computer simulations," International Journal of Information Management, Elsevier, vol. 32(2), pages 99-105.

    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:16:y:2024:i:10:p:4240-:d:1396899. 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.