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http://dx.doi.org/10.14400/JDC.2021.19.7.451

Predictors of Online Learning Satisfaction in Nursing Students after COVID-19 Pandemic  

Ahn, Jun-Ha (Department of Nursing, Deagu Haany University)
Son, Jang-Hoon (Department of Nursing, Deagu Haany University)
Kim, Soo-Yeon (Department of Nursing, Deagu Haany University)
Publication Information
Journal of Digital Convergence / v.19, no.7, 2021 , pp. 451-461 More about this Journal
Abstract
This study was conducted for nursing students to identify the effects of professors' teaching skills, learners' online learning readiness and major satisfaction on the online learning satisfaction after the COVID-19 pandemic. The participants recruited from nursing colleges located in five province, and data was collected using the Google Online Questionnaire from August 17th to October 5th, 2020. A total of 130 data were analyzed using the SPSS 23.0 program. As a result of this study, the factors that affect online learning satisfaction are the methods in the teaching skills (β=.43, p <.001) and self-directed learning in the online learning readiness (β=.33, p <.001), and satisfaction in nursing major (β=.21, p <.001). The results of this study suggest that education methods need to be devised to enhance the satisfaction of online learning in nursing colleges, and environmental improvements that can be self-directed learning are needed.
Keywords
COVID-19 pandemic; Nursing Students; Teaching Skills; Online Learning Readiness; Online Learning Satisfaction;
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