ArticleHeliyon2023
The interplay between self-regulation, learning flow, academic stress and learning engagement as predictors for academic performance in a blended learning environment: A cross-sectional survey.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- The relationship between freshmen's perceived social support and learning flow: the chain mediating role of perceived stress and depression.BMC psychology · 2026Article
- Article
- Exploring learning engagement among Spanish undergraduates in Asia: the chain mediating roles of flow experience and self-determined motivation in short video platform use.Frontiers in psychology · 2026Article
- Exploring pathways to academic engagement: a SEM analysis of self-compassion, social support, and stress management among Chinese university students.BMC psychology · 2025Article
- Conscious Self-Regulation and Psychological Well-Being in Students Experiencing Stress: A Cross-Sectional Study.Consortium psychiatricum · 2025Article
- Self-regulated learning of anatomy during the COVID-19 lockdown period in a low-income setting.BMC medical education · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To examine the correlations between self-regulation, learning flow, academic stress and learning engagement as predicting variables for academic achievement in a blended learning environment in Namibia. Design: Cross-sectional survey. Methods: Data were collected from 166 randomly selected undergraduate nursing students through an online survey between January and February 2023, and were analysed using IBM SPSS AMOS version 28.0. The data were explored through factor, parallel and confirmatory factor analyses. The relationship between the study factors and the total score of the scale was analysed using the Pearson correlation coefficient. Results: The results indicate that the two factors identified in the factor analysis are consistent with the theoretical proposition in this research. Factor 1 comprises items C1 to C24, which pertain to self-regulation (SR), while factor 2 consists of items D1 to D9, which relate to learning flow (LR). The findings demonstrate that self-regulation significantly predicts both flow and stress, as well as learning engagement. Additionally, there is a significant relationship between stress and self-regulated learning, as well as between stress and learning flow (r = 0.23-0.26; p= < .05). However, none of the study constructs were found to predict academic achievement. Conclusion: Although self-regulation significantly predicted flow, stress and learning engagement, a non-significant association exists between all the study constructs and academic achievement. The results of this study have significant implications for improving the development of a positive learning environment that fosters active student engagement. Future studies should investigate correlation by conducting large-scale studies. Impact: This study makes a valuable contribution to the current body of literature concerning academic achievement within the context of undergraduate nursing education. The insignificant relationship between the study variables and academic achievement indicate that these elements are not of considerable significance in enhancing educational achievements in blended learning surroundings in Namibia. Patient or public contribution: One hundred and sixty-six undergraduate nursing students participated in the survey. The data collected were analysed and interpreted by a skilled statistician.
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