IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p8089-d597619.html
   My bibliography  Save this article

The Critical Factors of Student Performance in MOOCs for Sustainable Education: A Case of Chinese Universities

Author

Listed:
  • Qin Yang

    (College of Economics, Jiaxing University, Jiaxing 314001, China)

  • Young-Chan Lee

    (Department of Business Administration, College of Management and Economics, Dongguk University, Gyeongju 38066, Korea)

Abstract

COVID-19 has drastically changed human life, both in the current era and, no doubt, in the years to come. One of the hot topics during this period is whether and how COVID-19 will change education patterns in the next few years. This study aimed to investigate the relationship between massive open online courses (MOOCs) and students’ learning performance. To that end, this study combined the gamification concept with the modified information systems (IS) success model and the expectation–confirmation model (ECM) for building a research model. We surveyed 586 students through an online survey and tested the hypotheses. The research results indicated that MOOCs’ information quality (IQ), system quality (SQ), and service quality (SEQ) had positive influences on the confirmation, which then affected MOOCs’ usefulness, satisfaction, and gamification. Students’ continued usage intention and course performance were positively influenced by usefulness and gamification. Students’ continued usage intention of MOOCs also positively affected course performance. The relationship between gamification and satisfaction, however, was not proved. The research results also showed that gamification, which was composed of entertainment, challenge, and social interaction, played a critical role in improving students’ continued usage intention of MOOCs and their course performance.

Suggested Citation

  • Qin Yang & Young-Chan Lee, 2021. "The Critical Factors of Student Performance in MOOCs for Sustainable Education: A Case of Chinese Universities," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8089-:d:597619
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/8089/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/14/8089/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Osama Isaac & Zaini Abdullah & T. Ramayah & Ahmed M. Mutahar, 2018. "Factors determining user satisfaction of internet usage among public sector employees in Yemen," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 10(1), pages 37-68.
    3. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    4. Atanu Sengupta & Sanjoy De, 2020. "Review of Literature," India Studies in Business and Economics, in: Assessing Performance of Banks in India Fifty Years After Nationalization, chapter 0, pages 15-30, Springer.
    5. Jumaan, Ibrahim A. & Hashim, Noor Hazarina & Al-Ghazali, Basheer M., 2020. "The role of cognitive absorption in predicting mobile internet users’ continuance intention: An extension of the expectation-confirmation model," Technology in Society, Elsevier, vol. 63(C).
    6. Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
    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. Mengfan Li & Ting Wang & Wei Lu & Mengke Wang, 2022. "Optimizing the Systematic Characteristics of Online Learning Systems to Enhance the Continuance Intention of Chinese College Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    2. Marco Yamba-Yugsi & Lourdes Atiaja Atiaja & Sergio Luján-Mora & Jose Luis Eguia-Gomez, 2022. "Determinants of the Intention to Use MOOCs as a Complementary Tool: An Observational Study of Ecuadorian Teachers," Sustainability, MDPI, vol. 14(22), pages 1-11, November.
    3. Annchen Mielmann, 2021. "Being Innovative in Running an Online Food Research Project in Consumer Sciences during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(24), pages 1-22, December.
    4. Marikyan, Davit & Papagiannidis, Savvas & Rana, Omer F. & Ranjan, Rajiv & Morgan, Graham, 2022. "“Alexa, let’s talk about my productivity”: The impact of digital assistants on work productivity," Journal of Business Research, Elsevier, vol. 142(C), pages 572-584.
    5. Cecilia Temilola Olugbara & Moeketsi Letseka & Oludayo O. Olugbara, 2021. "Multiple Correspondence Analysis of Factors Influencing Student Acceptance of Massive Open Online Courses," Sustainability, MDPI, vol. 13(23), pages 1-21, 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. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    2. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    3. Núñez-Canal, Margarita & de Obesso, Mª de las Mercedes & Pérez-Rivero, Carlos Alberto, 2022. "New challenges in higher education: A study of the digital competence of educators in Covid times," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    4. Han, Heejeong & Park, Arum & Chung, Namho & Lee, Kyoung Jun, 2016. "A near field communication adoption and its impact on Expo visitors’ behavior," International Journal of Information Management, Elsevier, vol. 36(6), pages 1328-1339.
    5. Faulkner, Nicholas & Jorgensen, Bradley & Borg, Kim, 2017. "What encourages citizens to use e-government? A rapid review and comprehensive model," OSF Preprints e58bg, Center for Open Science.
    6. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    7. Waleed A. Hammood & Ruzaini Abdullah Arshah & Salwana Mohamad Asmara & Hussam Al Halbusi & Omar A. Hammood & Salem Al Abri, 2021. "A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis," Sustainability, MDPI, vol. 13(1), pages 1-24, January.
    8. Luceri, Beatrice & (Tammo) Bijmolt, T.H.A. & Bellini, Silvia & Aiolfi, Simone, 2022. "What drives consumers to shop on mobile devices? Insights from a Meta-Analysis," Journal of Retailing, Elsevier, vol. 98(1), pages 178-196.
    9. Lorenz Graf-Vlachy & Katharina Buhtz & Andreas König, 2018. "Social influence in technology adoption: taking stock and moving forward," Management Review Quarterly, Springer, vol. 68(1), pages 37-76, February.
    10. Zeng, Zhongping & Li, Siqi & Lian, Jiunn-Woei & Li, Jiang & Chen, Tao & Li, Yujia, 2021. "Switching behavior in the adoption of a land information system in China: A perspective of the push–pull–mooring framework," Land Use Policy, Elsevier, vol. 109(C).
    11. Majid FathiZahraei & Govindan Marthandan & Murali Raman & Azita Asadi, 2015. "Reducing risks in crisis management by GIS adoption," 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. 76(1), pages 83-98, March.
    12. Lingling Gao & Kerem Aksel Waechter, 2017. "Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation," Information Systems Frontiers, Springer, vol. 19(3), pages 525-548, June.
    13. Mi Jin Noh & Kyung Tag Lee, 2016. "An analysis of the relationship between quality and user acceptance in smartphone apps," Information Systems and e-Business Management, Springer, vol. 14(2), pages 273-291, May.
    14. Tseng, Shu-Mei, 2015. "Exploring the intention to continue using web-based self-service," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 85-93.
    15. Cheng, Hsiu-Hua & Huang, Shih-Wei, 2013. "Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior," International Journal of Information Management, Elsevier, vol. 33(1), pages 185-198.
    16. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran, 2020. "On-demand service platforms pro/anti adoption cognition: Examining the context-specific reasons," Journal of Business Research, Elsevier, vol. 121(C), pages 180-194.
    17. Haque, AKM Bahalul & Islam, A.K.M. Najmul & Mikalef, Patrick, 2023. "Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    18. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(C).
    19. Kim, Heetae & Park, Eunil & Kwon, Sang Jib & Ohm, Jay Y. & Chang, Hyun Joon, 2014. "An integrated adoption model of solar energy technologies in South Korea," Renewable Energy, Elsevier, vol. 66(C), pages 523-531.
    20. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.

    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:13:y:2021:i:14:p:8089-:d:597619. 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.