IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v15y2024i3d10.1007_s13132-023-01614-0.html
   My bibliography  Save this article

From Classroom to Screen: Analyzing the Mechanisms Shaping E-Learning Benefits Amidst COVID-19

Author

Listed:
  • Hyeon Jo

    (HJ Institute of Technology and Management)

Abstract

The COVID-19 pandemic has reached global proportions, leading to significant shifts in societal norms, including the adoption of online education as a safety measure. This research delves into the factors that drive the advantages associated with e-learning, with a focus on the influences of attitudes towards social distancing, perceived value, and user contentment. Utilizing partial least squares-structural equation modeling (PLS-SEM), and a sample of 325 university students from two Asian countries actively participating in e-learning platforms, this research empirically validates the theoretical constructs. Findings demonstrate that perceived value and user contentment are potent drivers of e-learning advantages. Additionally, the roles of emotional and cognitive risk awareness in augmenting attitudes towards social distancing are highlighted. The influence of cabin fever syndrome on both types of risk perception is also significantly evident. The elements of system interactivity and response are found to positively influence perceived worth and user satisfaction. The paper culminates with insights into the theoretical significance and practical applications of the research.

Suggested Citation

  • Hyeon Jo, 2024. "From Classroom to Screen: Analyzing the Mechanisms Shaping E-Learning Benefits Amidst COVID-19," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 12979-13000, September.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01614-0
    DOI: 10.1007/s13132-023-01614-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-023-01614-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13132-023-01614-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. M. Martínez-Torres & S. Toral Marín & F. García & S. Vázquez & M. Oliva & T. Torres, 2008. "A technological acceptance of e-learning tools used in practical and laboratory teaching, according to the European higher education area," Behaviour and Information Technology, Taylor & Francis Journals, vol. 27(6), pages 495-505.
    2. Abu Elnasr E. Sobaih & Ahmed Hasanein & Ibrahim A. Elshaer, 2022. "Higher Education in and after COVID-19: The Impact of Using Social Network Applications for E-Learning on Students’ Academic Performance," Sustainability, MDPI, vol. 14(9), pages 1-12, April.
    3. Byoungsoo Kim & Daekil Kim, 2020. "Exploring the Key Antecedents Influencing Consumer’s Continuance Intention toward Bike-Sharing Services: Focus on China," IJERPH, MDPI, vol. 17(12), pages 1-14, June.
    4. Aleksander Aristovnik & Damijana Keržič & Dejan Ravšelj & Nina Tomaževič & Lan Umek, 2020. "Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective," Sustainability, MDPI, vol. 12(20), pages 1-34, October.
    5. Kim, Byoungsoo, 2012. "The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents," Telecommunications Policy, Elsevier, vol. 36(1), pages 69-81.
    6. Carlos Tam & Diogo Santos & Tiago Oliveira, 2020. "Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model," Information Systems Frontiers, Springer, vol. 22(1), pages 243-257, February.
    7. Quintal, Vanessa Ann & Lee, Julie Anne & Soutar, Geoffrey N., 2010. "Risk, uncertainty and the theory of planned behavior: A tourism example," Tourism Management, Elsevier, vol. 31(6), pages 797-805.
    8. Mohammed Arshad Khan & Vivek & Mohammed Kamalun Nabi & Maysoon Khojah & Muhammad Tahir, 2020. "Students’ Perception towards E-Learning during COVID-19 Pandemic in India: An Empirical Study," Sustainability, MDPI, vol. 13(1), pages 1-14, December.
    9. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
    10. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    11. Wahab Ali, 2020. "Online and Remote Learning in Higher Education Institutes: A Necessity in light of COVID-19 Pandemic," Higher Education Studies, Canadian Center of Science and Education, vol. 10(3), pages 1-16, September.
    12. Martin Ebner & Sandra Schön & Clarissa Braun & Markus Ebner & Ypatios Grigoriadis & Maria Haas & Philipp Leitner & Behnam Taraghi, 2020. "COVID-19 Epidemic as E-Learning Boost? Chronological Development and Effects at an Austrian University against the Background of the Concept of “E-Learning Readiness”," Future Internet, MDPI, vol. 12(6), pages 1-20, May.
    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. Wei Kang & Qun Wang & Long Cheng & Meng Ning, 2024. "Examining Commuters’ Intention to Use App-Based Carpooling: Insights from the Technology Acceptance Model," Sustainability, MDPI, vol. 16(14), pages 1-17, July.
    2. Karjaluoto, Heikki & Jayawardhena, Chanaka & Leppäniemi, Matti & Pihlström, Minna, 2012. "How value and trust influence loyalty in wireless telecommunications industry," Telecommunications Policy, Elsevier, vol. 36(8), pages 636-649.
    3. Helder Sequeiros & Tiago Oliveira & Manoj A. Thomas, 2022. "The Impact of IoT Smart Home Services on Psychological Well-Being," Information Systems Frontiers, Springer, vol. 24(3), pages 1009-1026, June.
    4. Yajiong Xue & Huigang Liang & Liansheng Wu, 2011. "Punishment, Justice, and Compliance in Mandatory IT Settings," Information Systems Research, INFORMS, vol. 22(2), pages 400-414, June.
    5. Yeajin Joo & Hwayoon Seok & Yoonjae Nam, 2020. "The Moderating Effect of Social Media Use on Sustainable Rural Tourism: A Theory of Planned Behavior Model," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    6. Kamal Abubker Abrahim Sleiman & Wang Jin & Lan Juanli & Hong Zhen Lei & Jingyi Cheng & Yuanxin Ouyang & Wenge Rong, 2022. "The Factors of Continuance Intention to Use Mobile Payments in Sudan," SAGE Open, , vol. 12(3), pages 21582440221, August.
    7. Nor Aishah Abdullah & Nurulaini Abu Shamsi & Hashem Salarzadeh Jenatabadi & Boon-Kwee Ng & Khairul Anam Che Mentri, 2022. "Factors Affecting Undergraduates’ Academic Performance during COVID-19: Fear, Stress and Teacher-Parents’ Support," Sustainability, MDPI, vol. 14(13), pages 1-12, June.
    8. Liesbet Saenen & Katrien Hermans & Maristela Nascimento Rocha & Katrien Struyven & Elke Emmers, 2024. "Co-designing inclusive excellence in higher education: Students’ and teachers’ perspectives on the ideal online learning environment using the I-TPACK model," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    9. Liu, Qian & Shao, Zhen & Fan, Weiguo, 2018. "The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China," International Journal of Information Management, Elsevier, vol. 43(C), pages 209-223.
    10. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    11. Jia Zhu & Hang Yuan & Quan Zhang & Po-Hsun Huang & Yongjie Wang & Sixuan Duan & Ming Lei & Eng Gee Lim & Pengfei Song, 2022. "The impact of short videos on student performance in an online-flipped college engineering course," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    12. Jangwan Ko & Seungsu Paek & Seoyoon Park & Jiwoo Park, 2021. "A News Big Data Analysis of Issues in Higher Education in Korea amid the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    13. Fuyong Lu & Xintao Wang & Xian Huang, 2023. "Counseling for Health: How Psychological Distance Influences Continuance Intention towards Mobile Medical Consultation," IJERPH, MDPI, vol. 20(3), pages 1-21, January.
    14. Maqableh, Mahmoud & Alia, Mohammad, 2021. "Evaluation online learning of undergraduate students under lockdown amidst COVID-19 Pandemic: The online learning experience and students’ satisfaction," Children and Youth Services Review, Elsevier, vol. 128(C).
    15. Hazem Ali & Ting Chen & Yunhong Hao, 2021. "Sustainable Manufacturing Practices, Competitive Capabilities, and Sustainable Performance: Moderating Role of Environmental Regulations," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    16. 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.
    17. Mario Silic & Andrea Back, 2016. "The Influence of Risk Factors in Decision-Making Process for Open Source Software Adoption," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 151-185, January.
    18. Gupta, Prashant & Seetharaman, A. & Raj, John Rudolph, 2013. "The usage and adoption of cloud computing by small and medium businesses," International Journal of Information Management, Elsevier, vol. 33(5), pages 861-874.
    19. Asif Khan & Chih-Cheng Chen & Kwanrat Suanpong & Athapol Ruangkanjanases & Santhaya Kittikowit & Shih-Chih Chen, 2021. "The Impact of CSR on Sustainable Innovation Ambidexterity: The Mediating Role of Sustainable Supply Chain Management and Second-Order Social Capital," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    20. Teller, Christoph & Kotzab, Herbert & Grant, David B., 2012. "The relevance of shopper logistics for consumers of store-based retail formats," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 59-66.

    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:spr:jknowl:v:15:y:2024:i:3:d:10.1007_s13132-023-01614-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.