ArticleFrontiers in psychology2022
Predictors of Learning Engagement in the Context of Online Learning During the COVID-19 Pandemic.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 38 citations in OpenAlex.
- An Exploratory Study of Factors Associated with Medical Students' Self-Reported Online Innovative Behavior in Online Learning Environments: A Mediation Analysis.Behavioral sciences (Basel, Switzerland) · 2026Article
- Self-directed learning ability and online student engagement among nursing students: the mediating role of information literacy and the moderating role of self-control.Frontiers in psychology · 2026Article
- Online real-time teaching interaction and self-regulated learning ability: a cross-sectional mediation study among undergraduate nursing students.Frontiers in public health · 2026Article
- Perceived barriers and learning anxiety in online education among domestic and international students.Frontiers in psychology · 2026Article
- Effect of career calling on learning engagement among medical students: moderated chain mediation model.Frontiers in psychology · 2026Article
- From self-efficacy to engineering thinking: the mediating role of student engagement among undergraduate engineering students in China.Frontiers in psychology · 2026Article
- Differential effects of external noise and situational interest on neurophysiological responses during video based learning.NPJ science of learning · 2025Article
- Article
- The impact of adolescent innovation on academic resilience, distance learning self-efficacy, and academic performance.Scientific reports · 2025Article
- The impact of teacher feedback on medical students' self-regulated learning: a serial mediation model of teacher-student interaction and sense of school belonging.BMC medical education · 2025Article
- Sources of stress in online learning scale: development and validation of an instrument to evaluate students' stressors associated with the online learning.Frontiers in psychology · 2025Article
- Values characteristics of Chinese college students with upper-level learning engagement.Frontiers in psychology · 2025Article
- The impact of web-based education provided to parents on the nutritional risk of preschoolers: A quasi-experimental study.Maternal & child nutrition · 2025Article
- COVID-19 Response Resource Engagement and User Characteristics of the Wichealth Web-Based Nutrition Education System: Comparative Cross-sectional Study.JMIR formative research · 2023Article
- Criteria for detection of possible risk factors for mental health problems in undergraduate university students.Frontiers in psychiatry · 2023Article
- Learning adaptability facilitates self-regulated learning at school: the chain mediating roles of academic motivation and self-management.Frontiers in psychology · 2023Article
- Self-regulated learning, online mathematics learning engagement, and perceived academic control among Chinese junior high school students during the COVID-19 pandemic: A latent profile analysis and mediation analysis.Frontiers in psychology · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main aim of the present research is to analyze the predictive value of individual characteristics such as online self-efficacy, adaptability to uncertainty, and sources of stress during online learning on learning engagement. We also aimed to highlight if these relationships could be mediated by the online self-regulated learning strategies, during the COVID-19 pandemic. The participants were 529 university students and the design was cross-sectional. The results showed significant associations of the sources of stress in online learning with self-efficacy, leaning engagement and self-regulated learning strategies. Self-regulated strategies-task strategies and goal setting represent mediators of stressors perceived by the students under the conditions of the sudden shift to online activity and online learning engagement. The most relevant self-regulation strategies seemed to be goal setting and task strategies, which confirm the need for a clear structure of learning in the context of online activities. The implications of this study reside in the increased awareness regarding how learning engagement in online learning can be predicted by individual characteristics.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.