IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p16302-d994420.html
   My bibliography  Save this article

Distance Learning in Pandemic Age: Lessons from a (No Longer) Emergency

Author

Listed:
  • Loredana Addimando

    (Department of Teaching and Learning, University of Applied Science and Arts of Southern Switzerland, 6600 Locarno, Switzerland)

Abstract

For the first time in the history of the global school system, the adoption of distance education modalities became necessary in response to the measures and restrictions implemented to stem the global pandemic generated by COVID-19. Online learning is not a new topic in education; it refers to studying for a certificate using online platforms that offer online courses rather than visiting lectures. Distance learning is a type of training that involves online learning under the supervision of a classroom teacher, but it can still be a little-known modality for both teachers and students. Preparing students for interactions and emotion management is essential in any teaching mode to maximize the learning and participation of the entire class group. This issue becomes even more critical in distance learning because it lacks those aspects of immediacy and concreteness typical of face-to-face interaction. The present article attempts to review the impact of distance learning versus traditional education brought about by the forced experience of distance learning due to the pandemic. In summary, this research has provided some initial findings about distant learning research during the pandemic age. To have a successful learning experience, students must be aware of their responsibilities and master their areas of autonomy, emotions, and feelings. Teaching at a distance is a challenge. As a general rule, learning activities that are successful in a traditional classroom may be adapted to the distance learning setting, but this will take more than a few minor tweaks to the slides or handouts. In order to engage pupils and maintain their attention and motivation levels, these techniques will probably call for more imaginative and inventive ways.

Suggested Citation

  • Loredana Addimando, 2022. "Distance Learning in Pandemic Age: Lessons from a (No Longer) Emergency," IJERPH, MDPI, vol. 19(23), pages 1-12, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16302-:d:994420
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/16302/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/23/16302/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Samuel Asumadu Sarkodie & Phebe Asantewaa Owusu, 2021. "Global assessment of environment, health and economic impact of the novel coronavirus (COVID-19)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5005-5015, April.
    3. Marije H. Bakker & José H. Kerstholt & Marco van Bommel & Ellen Giebels, 2019. "Decision-making during a crisis: the interplay of narratives and statistical information before and after crisis communication," Journal of Risk Research, Taylor & Francis Journals, vol. 22(11), pages 1409-1424, November.
    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. Apostolidis, Chrysostomos & Devine, Anthony & Jabbar, Abdul, 2022. "From chalk to clicks – The impact of (rapid) technology adoption on employee emotions in the higher education sector," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Wenzel, Stefan, 2014. "App'ification of Enterprise Software - Evaluating Mobile App Characteristics Enabling Online Purchase And Their Portability To Enterprise Application Software," EconStor Preprints 146785, ZBW - Leibniz Information Centre for Economics.
    3. Nicole D. Sintov & P. Wesley Schultz, 2017. "Adjustable Green Defaults Can Help Make Smart Homes More Sustainable," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    4. Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
    5. 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.
    6. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    7. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    8. Cong Cheng & Hongfang Cui, 2024. "Combining digital and legacy technologies: firm digital transformation strategies—evidence from Chinese manufacturing companies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    9. Da Van Huynh & Thuy Thi Kim Truong & Long Hai Duong & Nhan Trong Nguyen & Giang Vu Huong Dao & Canh Ngoc Dao, 2021. "The COVID-19 Pandemic and Its Impacts on Tourism Business in a Developing City: Insight from Vietnam," Economies, MDPI, vol. 9(4), pages 1-17, November.
    10. repec:dgr:rugsom:04f04 is not listed on IDEAS
    11. Rodríguez-López, María Eugenia & Higueras-Castillo, Elena & Rojas-Lamorena, Álvaro J. & Alcántara-Pilar, Juan Miguel, 2024. "The future of TV-shopping: predicting user purchase intention through an extended technology acceptance model," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    12. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    13. Xiaohong Wu & Ivan Ka Wai Lai, 2022. "The use of 360-degree virtual tours to promote mountain walking tourism: stimulus–organism–response model," Information Technology & Tourism, Springer, vol. 24(1), pages 85-107, March.
    14. repec:zna:indecs:v:19:y:2021:i:4:p:420-436 is not listed on IDEAS
    15. Ashraf Sharif & Saira Hanif Soroya & Shakil Ahmad & Khalid Mahmood, 2021. "Antecedents of Self-Disclosure on Social Networking Sites (SNSs): A Study of Facebook Users," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    16. Meena, Rahul & Sarabhai, Samar, 2023. "Extrinsic and intrinsic motivators for usage continuance of hedonic mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    17. Michael Addotey-Delove & Richard E. Scott & Maurice Mars, 2023. "Healthcare Workers’ Perspectives of mHealth Adoption Factors in the Developing World: Scoping Review," IJERPH, MDPI, vol. 20(2), pages 1-27, January.
    18. Cheng-Kui Huang & Shin-Horng Chen & Chia-Chen Hu & Ming-Ching Lee, 2022. "Understanding the adoption of the mask-supply information platforms during the COVID-19," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2405-2427, December.
    19. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    20. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    21. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    22. Jabbar, Abdul & Geebren, Ahmed & Hussain, Zahid & Dani, Samir & Ul-Durar, Shajara, 2023. "Investigating individual privacy within CBDC: A privacy calculus perspective," Research in International Business and Finance, Elsevier, vol. 64(C).

    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:jijerp:v:19:y:2022:i:23:p:16302-:d:994420. 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.