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J Educ Eval Health Prof > Epub ahead of print
J Educ Eval Health Prof. 2022; 19: 22.
Published online August 25, 2022.
DOI: https://doi.org/10.3352/jeehp.2022.19.22
[Epub ahead of print]
Self-control as an important factor affecting the online learning readiness of Vietnamese medical and health students during the COVID-19 pandemic: a network analysis
Minh Tu Nguyen1  , Binh Thang Tran2  , Thanh Gia Nguyen2  , Minh Tri Phan3  , Thi Thu Tham Luong3  , Dinh Duong Le2 
1Office for Undergraduate Training, University of Medicine and Pharmacy, Hue University, Hue, Vietnam
2Faculty of Public Health, University of Medicine and Pharmacy, Hue University, Hue, Vietnam
3University of Medicine and Pharmacy, Hue University, Hue, Vietnam
Correspondence  Dinh Duong Le ,Email: ldduong@hueuniv.edu.vn
Editor:  Sun Huh, Hallym University, Korea
Submitted: May 18, 2022  Accepted after revision: August 2, 2022
Abstract
Purpose
The current study aimed to use network analysis to investigate medical and health students’ readiness for online learning during the coronavirus disease 2019 (COVID-19) pandemic at the University of Medicine and Pharmacy, Hue University.
Methods
A questionnaire survey on the students’ readiness for online learning was performed using a Google Form from May 13 to June 22, 2021. In total, 1,377 completed responses were eligible for analysis out of 1,411 participants. The network structure was estimated for readiness scales with 6 factors: computer skills, internet skills, online communication, motivation, self-control, and self-learning. Data were fitted using a Gaussian graphical model with the extended Bayesian information criterion.
Results
In 1,377 students, a network structure was identified with 6 nodes and no isolated nodes. The top 3 partial correlations were similar in networks for the overall sample and subgroups of gender and grade levels. The self-control node was the strongest for the connection to others, with the highest nodal strength. The change of nodal strength was greatest in online communication for both gender and grade levels. The correlation stability coefficient for nodal strength was achieved for all networks.
Conclusion
These findings indicated that self-control was the most important factor in students’ readiness network structures for online learning. Therefore, self-control needs to be encouraged during online learning to improve the effectiveness of achieving online learning outcomes for students.
Keywords: Communication; Distance education; Internet; Motivation; Self-control
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