Online Learning for Mass Audiences during the COVID-19 Pandemic: Key Considerations for Real Time Knowledge Transfer
DOI:
https://doi.org/10.3991/ijet.v17i04.27569Keywords:
Massive open online courses, online learning, COVID-19 pandemic, World Health OrganizationAbstract
This paper introduces online learning related key considerations for asynchronous health information dissemination during the COVID-19 pandemic. The findings are based on 1.5 years of real-time massive scale learning intervention during this public health emergency and on related literature reviews. Meta-data analysis on World Health Organization’s (WHO) open access online learning platform OpenWHO and review on health emergency learning interventions literature. The study sought to operationalize the key considerations related to the health information dissemination as an asynchronous online learning delivery. Statistics driven findings were made based on open-source learning platform OpenWHO use case and scientific literature from the similar recorded experiences. The paper presents analysis from the recent literature and couples it with the real-time pandemic learning response results. The study suggests establishing key considerations for health emergency related learning dissemination for mass audiences: Real-time learning provision in free access, low-bandwidth and offline use formats, national and local language provision, choice of format for learners and adjustment of the learning content based on adult learning principles. The key considerations of the online learning delivery in mass mode in health emergencies emerged from the study and are recommended way forward for any international learning provided in health emergencies.
Downloads
Published
2022-02-28
How to Cite
Utunen, H. K., Tokar, A., Arabi, E., & Gamhewage, G. M. (2022). Online Learning for Mass Audiences during the COVID-19 Pandemic: Key Considerations for Real Time Knowledge Transfer. International Journal of Emerging Technologies in Learning (iJET), 17(04), pp. 112–134. https://doi.org/10.3991/ijet.v17i04.27569
Issue
Section
Papers
License
Copyright (c) 2022 Heini Katriina Utunen, Anna Tokar, Elham Arabi, Gaya Manori Gamhewage
This work is licensed under a Creative Commons Attribution 4.0 International License.