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

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 confirmat...

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Autores principales:	Aiste Dirzyte, Živilė Sederevičiūtė-Pačiauskienė, Jolita Šliogerienė, Aivaras Vijaikis, Aidas Perminas, Lukas Kaminskis, Giedrius Žebrauskas, Kęstutis Mačiulaitis
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	peer-to-peer confirmation positive automatic thoughts flourishing computer programming e-learning Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/47ab82b516da4d5391237ae9b608ace2
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spelling	oai:doaj.org-article:47ab82b516da4d5391237ae9b608ace22021-11-11T19:31:57ZPeer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners10.3390/su1321118322071-1050https://doaj.org/article/47ab82b516da4d5391237ae9b608ace22021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11832https://doaj.org/toc/2071-1050Computer 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, χ<sup>2</sup> = 81.320, df = 36, <i>p</i> < 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.Aiste DirzyteŽivilė Sederevičiūtė-PačiauskienėJolita ŠliogerienėAivaras VijaikisAidas PerminasLukas KaminskisGiedrius ŽebrauskasKęstutis MačiulaitisMDPI AGarticlepeer-to-peer confirmationpositive automatic thoughtsflourishingcomputer programminge-learningEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11832, p 11832 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	peer-to-peer confirmation positive automatic thoughts flourishing computer programming e-learning Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	peer-to-peer confirmation positive automatic thoughts flourishing computer programming e-learning Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Aiste Dirzyte Živilė Sederevičiūtė-Pačiauskienė Jolita Šliogerienė Aivaras Vijaikis Aidas Perminas Lukas Kaminskis Giedrius Žebrauskas Kęstutis Mačiulaitis Peer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners
description	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, χ<sup>2</sup> = 81.320, df = 36, <i>p</i> < 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.
format	article
author	Aiste Dirzyte Živilė Sederevičiūtė-Pačiauskienė Jolita Šliogerienė Aivaras Vijaikis Aidas Perminas Lukas Kaminskis Giedrius Žebrauskas Kęstutis Mačiulaitis
author_facet	Aiste Dirzyte Živilė Sederevičiūtė-Pačiauskienė Jolita Šliogerienė Aivaras Vijaikis Aidas Perminas Lukas Kaminskis Giedrius Žebrauskas Kęstutis Mačiulaitis
author_sort	Aiste Dirzyte
title	Peer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners
title_short	Peer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners
title_full	Peer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners
title_fullStr	Peer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners
title_full_unstemmed	Peer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners
title_sort	peer-to-peer confirmation, positive automatic thoughts, and flourishing of computer programming e-learners
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/47ab82b516da4d5391237ae9b608ace2
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Peer-to-Peer Confirmation, Positive Automatic Thoughts, and Flourishing of Computer Programming E-Learners

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