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College students’ experience of emergency remote teaching due to COVID-19

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  • Shim, Tae Eun
  • Lee, Song Yi

Abstract

This study analyzed South Korean college students' experiences of emergency remote teaching as a result of COVID-19 utilizing thematic analysis, which is a flexible and in-depth qualitative method used to analyze the similarity and association between individually derived theme words and discover meaningful associative relationships. The subjects of the study were college students at D University selected by purposeful sampling technique. A semi-structured questionnaire focusing on students’ satisfaction and dissatisfaction with emergency remote teaching as well as their desired improvement was distributed online, and a total of 393 student responses were collected for analysis. According to the results of the study, the most common environment and method for participating in classes were student homes and personal laptops. Students noted some positive features of emergency remote teaching such as comfortable educational environments, smooth interactions, and efficient time utilization, while network instability, unilateral interactions, and reduced concentration were shown to be causes of students’ complaints. Areas students identified for improvement were closely related to the causes of complaints, such as network stabilization, recorded lecture sharing, and the activation of interactions. The results of this study concluded that college students’ educational environments are important, and the quality of interactions can vary depending on the teachers and technology used. Based on the results of this study, an improved and effective emergency remote teaching system maintaining academic achievement similar to traditional classroom teaching can be designed in preparation for any possible future crisis like COVID 19.

Suggested Citation

  • Shim, Tae Eun & Lee, Song Yi, 2020. "College students’ experience of emergency remote teaching due to COVID-19," Children and Youth Services Review, Elsevier, vol. 119(C).
    • Handle: RePEc:eee:cysrev:v:119:y:2020:i:c:s0190740920320016
    DOI: 10.1016/j.childyouth.2020.105578
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    Citations

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    Cited by:

    1. Khan, Muhammad Jehangir & Ahmed, Junaid, 2021. "Child education in the time of pandemic: Learning loss and dropout," Children and Youth Services Review, Elsevier, vol. 127(C).
    2. Jiayu Zhang & Liu Hong & Gaoming Ma, 2022. "Socioeconomic Status, Peer Social Capital, and Quality of Life of High School Students During COVID-19: A Mediation Analysis," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(5), pages 3005-3021, October.
    3. Irdina Farzana Ahmad Shazli & Noor Hidayah Che Lah & Mashitoh Hashim & Ramlah Mailok & Aslina Saad & Suraya Hamid, 2023. "A Comprehensive Study of Students’ Challenges and Perceptions of Emergency Remote Education During the Early COVID-19 Pandemic: A Systematic Literature Review," SAGE Open, , vol. 13(4), pages 21582440231, December.
    4. Indy Man Kit Ho & Kai Yuen Cheong & Anthony Weldon, 2021. "Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-27, April.
    5. Ford, Timothy G. & Kwon, Kyong-Ah & Tsotsoros, Jessica D., 2021. "Early childhood distance learning in the U.S. during the COVID pandemic: Challenges and opportunities," Children and Youth Services Review, Elsevier, vol. 131(C).
    6. Vasile Gherheș & Claudia E. Stoian & Marcela Alina Fărcașiu & Miroslav Stanici, 2021. "E-Learning vs. Face-To-Face Learning: Analyzing Students’ Preferences and Behaviors," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    7. Fu-Hsuan Chen, 2021. "Sustainable Education through E-Learning: The Case Study of iLearn2.0," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    8. Obert Matarirano & Abor Yeboah & Onke Gqokonqana, 2021. "Readiness of Students for Multi-Modal Emergency Remote Teaching at A Selected South African Higher Education Institution," International Journal of Higher Education, Sciedu Press, vol. 10(6), pages 135-135, December.
    9. Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).

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