Peer-to-peer confirmation, positive automatic thoughts, and flourishing of computer programming e-learners
Date
2021Author
Diržytė, Aistė
Sederevičiūtė-Pačiauskienė, Živilė
Šliogerienė, Jolita
Vijaikis, Aivaras
Perminas, Aidas
Kaminskis, Lukas
Žebrauskas, Giedrius
Mačiulaitis, Kęstutis
Metadata
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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.
