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Open Access

Effect of E-Learning on Public Health and Environment During COVID-19 Lockdown

Avani AgarwalSahil SharmaVijay KumarManjit Kaur( )
Department of Computer Science, Thapar Institute of Engineering and Technology, Patiala 147001, India
Department of Computer Science and Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh 177005, India
Department of Computer Science Engineering, School of Engineering and Applied Sciences, Bennett University, Greater Noida 201310, India
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Abstract

E-learning is the most promising venture in the entire world. During the COVID-19 lockdown, e-learning is successfully providing potential information to the students and researchers. In developing nations like India, with limited resources, e-learning tools and platforms provide a chance to make education available to middle and low income households. This paper gives insights about three different online services, namely Google Classroom, Zoom, and Microsoft Teams being used by three different educational institutions. We aim to analyze the efficiency and acceptability of e-learning tools among Indian students during the COVID-19 lockdown. The paper also aims to evaluate the impact of e-learning on the environment and public health during COVID-19 lockdown. It is found that e-learning has potential to reduce carbon emissions, which has beneficial impact on the environment. However, the mental health is impacted as e-learning may lead to self-isolation and reduction in academic achievements that may lead to anxiety and mental depression. Due to usage of electronic devices for learning, the eyes and neck muscles may be put in strain, having deleterious effects on physical health.

References

[1]
J. G. Ruiz, M. J. Mintzer, and R. M. Leipzig, The impact of e-learning in medical education, Acad. Med., vol. 81, no. 3, pp. 207-212, 2006.
[2]
S. Kekkonen-Moneta and G. B. Moneta, E-learning in Hong Kong: Comparing learning outcomes in online multimedia and lecture versions of an introductory computing course, Br. J. Educ. Technol., vol. 33, no. 4, pp. 423-433, 2002.
[3]
M. Ryan, K. H. Carlton, and N. S. Ali, Evaluation of traditional classroom teaching methods versus course delivery via the World Wide Web, Journal of Nursing Education, vol. 38, no. 6, pp. 272-277, 1999.
[4]
J. P. McCarthy and L. Anderson, Active learning techniques versus traditional teaching styles: Two experiments from history and political science, Innovative Higher Education, vol. 24, no. 4, pp. 279-294, 2000.
[5]
A. Alkaff, M. N. Qomarudin, S. D. Alkaff, and Y. Bilfaqih, Modelling online course services and comparison of its major providers, International Journal of Emerging Technologies in Learning, vol. 13, no. 1, pp. 65-81, 2018.
[6]
C. Thompson, How Khan Academy is changing the rules of education, Wired Magazine, vol. 126, pp. 1-5, 2011.
[7]
S. Panda and S. Mishra, E-Learning in a Mega Open University: Faculty attitude, barriers and motivators, Educational Media International, vol. 44, no. 4, pp. 323-338, 2007.
[8]
S. S. Liaw, H. M. Huang, and G. D. Chen, Surveying instructor and learner attitudes toward e-learning, Computers & Education, vol. 49, no. 4, pp. 1066-1080, 2007.
[9]
H. Nakanishi, K. Kato, and H. Ishiguro, Zoom cameras and movable displays enhance social telepresence, in Proc. SIGCHI Conf. Human Factors in Computing Systems, Vancouver, Canada, 2011, pp. 63-72.
[10]
S. Marhefka, E. Lockhart, and D. Turner, Achieve research continuity during social distancing by rapidly implementing individual and group videoconferencing with participants: Key considerations, best practices, and protocols, AIDS and Behavior, vol. 24, no. 7, pp. 1983-1989, 2020.
[11]
J. T. Clark, Distance education, in Clinical Engineering Handbook, 2nd ed. New York, NY, USA: Academic Press, 2020, pp. 410-415.
[12]
Statista Research Department, Internet usage in India: Statistics & facts, Statista, http://www.statista.com/topics/2157/internet-usage-in-india/, 2020.
[13]
L. Tankeleviciene and R. Damasevicius, Towards a conceptual model of learning context in e-learning, presented at 2009 9th IEEE Int. Conf. Advanced Learning Technologies, Riga, Latvia, 2009, pp. 645-646.
[14]
R. Burbaite, V. Stuikys, and R. Damasevicius, Educational robots as collaborative learning objects for teaching computer science, presented at 2013 Int. Conf. System Science and Engineering (ICSSE), Budapest, Hungary, 2013, pp. 211-216.
[15]
M. Versteijlen, F. P. Salgado, M. J. Groesbeek, and A. Counotte, Pros and cons of online education as a measure to reduce carbon emissions in higher education in the Netherlands, Current Opinion in Environmental Sustainability, vol. 28, pp. 80-89, 2017.
[16]
P. C. Sun, R. J. Tsai, G. Finger, Y. Y. Chen, and D. Yeh, What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction, Computers & Education, vol. 50, no. 4, pp. 1183-1202, 2008.
Big Data Mining and Analytics
Pages 104-115
Cite this article:
Agarwal A, Sharma S, Kumar V, et al. Effect of E-Learning on Public Health and Environment During COVID-19 Lockdown. Big Data Mining and Analytics, 2021, 4(2): 104-115. https://doi.org/10.26599/BDMA.2020.9020014

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Received: 15 June 2020
Accepted: 05 August 2020
Published: 01 February 2021
© The author(s) 2021

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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