2022
DOI: 10.3389/fpsyg.2022.932777
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Online learning performance and engagement during the COVID-19 pandemic: Application of the dual-continua model of mental health

Abstract: The COVID-19 pandemic has led to an abrupt transition from face-to-face learning to online learning, which has also affected the mental health of college students. In this study, we examined the relationship between students’ adjustment to online learning and their mental health by using the Dual-Continua Model. The model assumes that mental disorder and mental well-being are related yet distinct factors of mental health. For this purpose, 2,933 college students completed an online survey around the beginning … Show more

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Cited by 3 publications
(3 citation statements)
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“…(e.g., Kim et al, 2022), and the Vulnerable group shows results closer to the Troubled group, namely in terms of students engagement (e.g., Antaramian et al, 2010), GPA (e.g., Dileo et al, 2022) or online learning indicators (e.g., Kim et al, 2022). This evidence proposes that positive well-being together with the absence of psychopathology is particularly positively linked with academic performance and success (Antaramian, 2015).…”
Section: Article In Pressmentioning
confidence: 78%
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“…(e.g., Kim et al, 2022), and the Vulnerable group shows results closer to the Troubled group, namely in terms of students engagement (e.g., Antaramian et al, 2010), GPA (e.g., Dileo et al, 2022) or online learning indicators (e.g., Kim et al, 2022). This evidence proposes that positive well-being together with the absence of psychopathology is particularly positively linked with academic performance and success (Antaramian, 2015).…”
Section: Article In Pressmentioning
confidence: 78%
“…To classify people, most of them (f = 45; e.g., DiLeo et al, 2022) applied a cut score approach (which means that they used the participants' scores on the well-being and/or psychopathology dimensions to group them into high vs. low), 21 used latent analyses (i.e., profile, class, or transition analyses) (e.g., Clark & Malecki, 2022), one applied discriminant function analyses (i.e., Greenspoon & Saklofske, 2001), three adopted a hierarchical clusters method (e.g., de la Iglesia et al, 2019), one compared the cut score approach with a latent profile analysis (i.e., Thayer et al, 2021), and one was unclear regarding the classification type (i.e. Kim et al, 2022).…”
Section: Mental Health Groupsmentioning
confidence: 99%
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