Peer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners

Aiste Dirzyte, Živilė Sederevičiūtė-Pačiauskienė, Jolita Šliogerienė, Aivaras Vijaikis, Aidas Perminas, Lukas Kaminskis, Giedrius Žebrauskas and Kęstutis Mačiulaitis
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Aiste Dirzyte: Faculty of Creative Industries, Vilnius Gediminas Technical University, Saulėtekio Ave. 11, 10221 Vilnius, Lithuania
Živilė Sederevičiūtė-Pačiauskienė: Faculty of Creative Industries, Vilnius Gediminas Technical University, Saulėtekio Ave. 11, 10221 Vilnius, Lithuania
Jolita Šliogerienė: Faculty of Creative Industries, Vilnius Gediminas Technical University, Saulėtekio Ave. 11, 10221 Vilnius, Lithuania
Aivaras Vijaikis: Institute of Psychology, Mykolas Romeris University, Ateities 20, 08303 Vilnius, Lithuania
Aidas Perminas: Department of Psychology, Vytautas Magnus University, K. Donelaičio Str. 58, 44248 Kaunas, Lithuania
Lukas Kaminskis: Turing College, Žalgirio g. 90-D, 09300 Vilnius, Lithuania
Giedrius Žebrauskas: Turing College, Žalgirio g. 90-D, 09300 Vilnius, Lithuania
Kęstutis Mačiulaitis: Turing College, Žalgirio g. 90-D, 09300 Vilnius, Lithuania

Sustainability, 2021, vol. 13, issue 21, 1-24

Abstract: 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 Questionnaire—Positive (ATQP), and the Student-to-Student Confirmation Scale. The sample consisted 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 positive 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, ? 2 = 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 limitations. 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 researchers.

Keywords: peer-to-peer confirmation; positive automatic thoughts; flourishing; computer programming; e-learning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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