IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4562-d1087038.html
   My bibliography  Save this article

An Empirical Study of Parents’ Participation Behavior in the Home-Based Online Learning of Primary School Students

Author

Listed:
  • Peng Li

    (College of Mathematics and Statistics, Shenzhen University, Shenzhen 518060, China)

Abstract

Parental participation has an important and direct influence on the effect of home-based online learning of primary school students. Taking more than 500 guardians of primary school students in a number of prefecture-level cities in the Pearl River Delta as the questionnaire respondents, and applying the structural equation model method, this paper, based on the theory of planned behavior, explores the effects of various factors on parental participation in the home-based online learning of primary school students. The results show that: (1) the behavioral intention of parents to participate in the home-based online learning of primary school students has a significant influence on their actual participation behavior. (2) Behavioral attitudes, subjective norms, and perceived behavioral control have a significant influence on behavioral intention. To strengthen the actual effects of parents’ participation behavior, this paper puts forward a number of suggestions. These include enhancing home-school partnerships, achieving home-school co-education, and training parents with regard to the integration of daily Internet use and online learning for primary school students. This study supports the effective implementation of home-based online learning of primary school students and the joint effect of home-school co-education, specifically from the perspective of parents in the subsequent implementation of integrated online and offline teaching.

Suggested Citation

  • Peng Li, 2023. "An Empirical Study of Parents’ Participation Behavior in the Home-Based Online Learning of Primary School Students," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4562-:d:1087038
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4562/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/5/4562/
    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. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    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. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    2. Borhan, Muhamad Nazri & Ibrahim, Ahmad Nazrul Hakimi & Miskeen, Manssour A. Abdulasalm, 2019. "Extending the theory of planned behaviour to predict the intention to take the new high-speed rail for intercity travel in Libya: Assessment of the influence of novelty seeking, trust and external inf," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 373-384.
    3. Alfiero, Simona & Battisti, Enrico & Ηadjielias, Elias, 2022. "Black box technology, usage-based insurance, and prediction of purchase behavior: Evidence from the auto insurance sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    4. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
    5. Chia-Chien Hsu & Brian Sandford & Chia-Ju Ling & Ching-Torng Lin, 2021. "Can the Unified Theory of Acceptance and Use of Technology (UTAUT) Help Explain Subjective Well-Being in Senior Citizens due to Gateball Participation?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    6. Meng, Bo & Choi, Kyuhwan, 2016. "The role of authenticity in forming slow tourists' intentions: Developing an extended model of goal-directed behavior," Tourism Management, Elsevier, vol. 57(C), pages 397-410.
    7. Mei-Fang Chen & Ching-Ti Pan & Ming-Chuan Pan, 2009. "The Joint Moderating Impact of Moral Intensity and Moral Judgment on Consumer’s Use Intention of Pirated Software," Journal of Business Ethics, Springer, vol. 90(3), pages 361-373, December.
    8. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    9. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    10. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    11. Wu, Ing-Long & Chen, Kuei-Wan & Chiu, Mai-Lun, 2016. "Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users," International Journal of Information Management, Elsevier, vol. 36(3), pages 284-296.
    12. Kim, Youngseek & Adler, Melissa, 2015. "Social scientists’ data sharing behaviors: Investigating the roles of individual motivations, institutional pressures, and data repositories," International Journal of Information Management, Elsevier, vol. 35(4), pages 408-418.
    13. 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.
    14. Echchabi Abdelghani & Hassanuddeen Abd. Aziz, 2013. "An Empirical Survey On The Prospects Of Mobile Money In Morocco," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 8(1), pages 46-54, April.
    15. Oguz YILDIZ & Hakan KITAPCI, 2018. "Exploring Factors Affecting Consumers¡¯ Adoption of Shopping via Mobile Applications in Turkey," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 10(2), pages 60-75, June.
    16. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    17. Marta Perdigoto & Winnie Picoto, 2012. "Analysing Intention And Action In Mobile Banking Services," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 133-152.
    18. Dongxiao Gu & Xuejie Yang & Xingguo Li & Hemant K. Jain & Changyong Liang, 2018. "Understanding the Role of Mobile Internet-Based Health Services on Patient Satisfaction and Word-of-Mouth," IJERPH, MDPI, vol. 15(9), pages 1-23, September.
    19. Sumeet Gupta & Haejung Yun & Heng Xu & Hee-Woong Kim, 2017. "An exploratory study on mobile banking adoption in Indian metropolitan and urban areas: a scenario-based experiment," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 127-152, January.
    20. Tsen-Yao Chang & Yu-Chieh Chiu, 2021. "The Academic Portfolio System (APS) Usage Intention of Senior High School Students in Taiwan," Sustainability, MDPI, vol. 13(15), pages 1-26, July.

    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:5:p:4562-:d:1087038. 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.