IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i7p162-d579220.html
   My bibliography  Save this article

The Impact of Quality of Experience of Chinese College Students on Internet-Based Resources English Learning

Author

Listed:
  • Hui-Li Gao

    (School of Foreign Studies, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

Since Internet-based resources provides various and practical forms of English learning materials, Internet-based resources English learning is a common way for the younger generation. However, not like adult learning, university students need stronger motivation to learn English from Internet-based resources. This study surveyed Chinese college students in Central China to reveal the relationship between cultural intelligence, hedonic motivation, English self-efficacy, online experience quality, and willingness to continue learning online English. Using online media platforms and convenient sampling methods, a total of 385 questionnaires were collected. The data analysis was divided into three phases, descriptive analysis, measurement model evaluation, and structural equation model examination. The results showed Internet quality of experience significantly impacted English continuous learning intention. Cultural intelligence, English self-efficacy, and hedonic motivation all influenced significantly on Internet quality of experience and hedonic motivation had the strongest impact. In addition, the mediation effects of Internet quality of experience to these three factors and Internet-based resources English continuous learning intention all existed. Finally, the research results show cultural intelligence, English self-efficacy, and hedonic motivation were all examined significantly impacting Internet quality of experience statistically. English learning hedonic motivation is the most influencing factor. Therefore, English learning material should be attractive, fun, and enjoyable. This is what the teachers should think of and emphasize when to recommend learning material for students.

Suggested Citation

  • Hui-Li Gao, 2021. "The Impact of Quality of Experience of Chinese College Students on Internet-Based Resources English Learning," Future Internet, MDPI, vol. 13(7), pages 1-20, June.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:7:p:162-:d:579220
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/7/162/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/13/7/162/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Imai, Lynn & Gelfand, Michele J., 2010. "The culturally intelligent negotiator: The impact of cultural intelligence (CQ) on negotiation sequences and outcomes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 112(2), pages 83-98, July.
    2. Babin, Barry J & Darden, William R & Griffin, Mitch, 1994. "Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(4), pages 644-656, March.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    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. Janet Li, 2021. "Mobile-assisted Autonomous English Learning in College Students' Extra-curriculum Time: A Case Study in China," Technium Social Sciences Journal, Technium Science, vol. 19(1), pages 129-143, May.
    6. Wei Wang & Ju Zhan, 2020. "The Relationship between English Language Learner Characteristics and Online Self-regulation: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 12(7), pages 1-25, April.
    7. Al-Azawei, Ahmed & Alowayr, Ali, 2020. "Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries," Technology in Society, Elsevier, vol. 62(C).
    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. repec:dgr:rugsom:04f04 is not listed on IDEAS
    2. Činjarević Merima & Kožo Amra & Berberović Denis, 2019. "Sharing is Caring, and Millennials Do Care: Collaborative Consumption through the Eyes of Internet Generation," South East European Journal of Economics and Business, Sciendo, vol. 14(1), pages 49-60, June.
    3. Tsai, Pei-Hsuan & Tang, Jia-Wei & Ou, Mei-Ling, 2024. "Applying the extended UTAUT-2 to assess the factors contributing to consumers’ usage intention towards over-the-top video streaming platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    4. Dangelico, Rosa Maria & Alvino, Letizia & Fraccascia, Luca, 2022. "Investigating the antecedents of consumer behavioral intention for sustainable fashion products: Evidence from a large survey of Italian consumers," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    5. 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).
    6. Han-Shen Chen & Chia-Hsing Liang & Shu-Yi Liao & Hung-Yu Kuo, 2020. "Consumer Attitudes and Purchase Intentions toward Food Delivery Platform Services," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    7. Lombardi, Alessia & Carfora, Valentina & Cicia, Gianni & Del Giudice, Teresa & Lombardi, Pasquale & Panico, Teresa, 2017. "Exploring Willingness to Pay for QR Code Labeled Extra-Virgin Olive Oil: An Application of the Theory of Planned Behavior," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 8(01), pages 1-18, January.
    8. Heydari, Ali & Laroche, Michel & Paulin, Michèle & Richard, Marie-Odile, 2021. "Hofstede's individual-level indulgence dimension: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    9. Hye Jung Jung & HaeJung Kim & Kyung Wha Oh, 2016. "Green Leather for Ethical Consumers in China and Korea: Facilitating Ethical Consumption with Value–Belief–Attitude Logic," Journal of Business Ethics, Springer, vol. 135(3), pages 483-502, May.
    10. Padmavathy, Chandrasekaran & Swapana, Murali & Paul, Justin, 2019. "Online second-hand shopping motivation – Conceptualization, scale development, and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 19-32.
    11. Brand, Christian & Schwanen, Tim & Anable, Jillian, 2020. "‘Online Omnivores’ or ‘Willing but struggling’? Identifying online grocery shopping behavior segments using attitude theory," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    12. Luis-Edwin Chimborazo-Azogue & Marta Frasquet & Alejandro Molla-Descals & Maria-Jose Miquel-Romero, 2021. "Understanding Mobile Showrooming Based on a Technology Acceptance and Use Model," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    13. Ahsan Akbar & Saqib Ali & Muhammad Azeem Ahmad & Minhas Akbar & Muhammad Danish, 2019. "Understanding the Antecedents of Organic Food Consumption in Pakistan: Moderating Role of Food Neophobia," IJERPH, MDPI, vol. 16(20), pages 1-20, October.
    14. repec:rai:zfpers:doi_10.1688/1862-0000_zfp_2013_02_remhof is not listed on IDEAS
    15. 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.
    16. Zhou, Min & Huang, Jinlong & Wu, Kexin & Huang, Xin & Kong, Nan & Campy, Kathryn S., 2021. "Characterizing Chinese consumers’ intention to use live e-commerce shopping," Technology in Society, Elsevier, vol. 67(C).
    17. Han, Liu & Wang, Shanyong & Zhao, Dingtao & Li, Jun, 2017. "The intention to adopt electric vehicles: Driven by functional and non-functional values," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 185-197.
    18. Park, Inyoung & Lee, Jieon & Lee, Daeho & Lee, Changjun & Chung, Won Young, 2022. "Changes in consumption patterns during the COVID-19 pandemic: Analyzing the revenge spending motivations of different emotional groups," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    19. Ainsworth, Jeremy & Ballantine, Paul W., 2017. "Consumers’ cognitive response to website change," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 56-66.
    20. Prashant Verma & Shruti Jain, 2015. "Skills Augmenting Online Shopping Behavior: A Study of Need for Cognition Positive Segment," Business Perspectives and Research, , vol. 3(2), pages 126-145, July.
    21. Kim, Jina & Park, Eunil, 2019. "Beyond coolness: Predicting the technology adoption of interactive wearable devices," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 114-119.
    22. Kim, Jiyeon & Forsythe, Sandra, 2008. "Adoption of Virtual Try-on technology for online apparel shopping," Journal of Interactive Marketing, Elsevier, vol. 22(2), pages 45-59.

    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:jftint:v:13:y:2021:i:7:p:162-:d:579220. 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.