Peer-to-peer confirmation, positive automatic thoughts, and flourishing of computer programming e-learners
Author(s) | ||
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Vilniaus Gedimino technikos universitetas | ||
Sederevičiūtė-Pačiauskienė, Živilė | Vilniaus Gedimino technikos universitetas | |
Šliogerienė, Jolita | Vilniaus Gedimino technikos universitetas | |
UAB Vadybos ir psichologijos institutas | ||
Perminas, Aidas | Vytauto Didžiojo universitetas | |
Kaminskis, Lukas | Turing College | |
Žebrauskas, Giedrius | Turing College | |
Mačiulaitis, Kęstutis | Turing College |
MDPI |
Date Issued |
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2021 |
Computer programming e-learners faced stressful life circumstances and educational changes that affected the world during the COVID-19 pandemic. As the cognitive model of flourishing focuses on cognitions rather than situations themselves, it was deemed significant to identify peer-to-peer confirmation, positive automatic thoughts, flourishing, and the links between these study variables in a group of computer programming e-learners and compare the results with other e-learners. This study applied the Flourishing Scale (FS), the Automatic Thoughts Ques-tionnaire—Positive (ATQP), and the Student-to-Student Confirmation Scale. The sample con-sisted of 453 e-learners, including 211 computer programming e-learners. The results revealed that computer programming e-learners differed from other e-learners in flourishing, positive daily functioning, and peer-to-peer confirmation. In both samples, positive daily functioning and pos-itive future expectations predicted self-reported flourishing. Positive automatic thoughts and flourishing predicted peer-to-peer confirmation just in the group of computer programming e-learners. The SEM analysis revealed that peer-to-peer confirmation and positive automatic thoughts explained 57.4% of the variance of flourishing in the computer programming e-learners group and 9.3% of the variance in the social sciences e-learners group, χ2 = 81.320, df = 36, p < 0.001; NFI = 0.963; TLI = 0.967; CFI = 0.979; RMSEA = 0.075 [0.053–0.096]; SRMR = 0.033. The findings signify the importance of peer-to-peer confirmation and positive thoughts for computer programming e-learners’ psychological well-being. Nevertheless, the results of this particular study should be regarded with caution due to the relatively small sample size and other limita-tions. In the future, it would be valuable to identify the underlying mechanisms and the added value of positive states such as flow, which have recently received the increased attention of re-searchers.
LVPA |
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
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Sustainability | 3.889 | 5.729 | 4.426 | 7.155 | 4 | 0.657 | 2021 | Q2 |
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
Sustainability | 3.889 | 6.732 | 6.309 | 7.155 | 2 | 0.606 | 2021 | Q2 |
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
Sustainability | 3.889 | 4.727 | 4.727 | 5.027 | 2 | 0.781 | 2021 | Q2 |
Journal | Cite Score | SNIP | SJR | Year | Quartile |
---|---|---|---|---|---|
Sustainability | 5 | 1.31 | 0.664 | 2021 | Q1 |