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Links between Adolescents' Deep and Surface Learning Approaches, Problematic Internet Use, and Fear of Missing Out (FoMO)

This study was aimed at exploring links between adolescents' deep and surface approaches to learning, Fear of Missing Out (FoMO), and Problematic Internet Use (PIU) by using Partial Least Squares Structural Equation Modeling (PLS-SEM). The analysis corroborated the postulated positive links bet...

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Detalles Bibliográficos
Autores principales: Alt, Dorit, Boniel-Nissim, Meyran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112085/
https://www.ncbi.nlm.nih.gov/pubmed/30206516
http://dx.doi.org/10.1016/j.invent.2018.05.002
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Boniel-Nissim, Meyran
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Boniel-Nissim, Meyran
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description This study was aimed at exploring links between adolescents' deep and surface approaches to learning, Fear of Missing Out (FoMO), and Problematic Internet Use (PIU) by using Partial Least Squares Structural Equation Modeling (PLS-SEM). The analysis corroborated the postulated positive links between surface learning, FoMO, and PIU. Moreover, the FoMO construct represented a complimentary mediation between the surface learning approach and PIU constructs. This study may lead to a plausible inference according to which both FoMO and surface learning share a common core characteristic of decreased levels of self-regulation that might lead to PIU. Having students acquire and practice skills of self-regulation might help them control their levels of FoMO, and consequently their PIU at schools or out-of-school learning environments.
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spelling pubmed-61120852018-09-11 Links between Adolescents' Deep and Surface Learning Approaches, Problematic Internet Use, and Fear of Missing Out (FoMO) Alt, Dorit Boniel-Nissim, Meyran Internet Interv Full length Article This study was aimed at exploring links between adolescents' deep and surface approaches to learning, Fear of Missing Out (FoMO), and Problematic Internet Use (PIU) by using Partial Least Squares Structural Equation Modeling (PLS-SEM). The analysis corroborated the postulated positive links between surface learning, FoMO, and PIU. Moreover, the FoMO construct represented a complimentary mediation between the surface learning approach and PIU constructs. This study may lead to a plausible inference according to which both FoMO and surface learning share a common core characteristic of decreased levels of self-regulation that might lead to PIU. Having students acquire and practice skills of self-regulation might help them control their levels of FoMO, and consequently their PIU at schools or out-of-school learning environments. Elsevier 2018-06-01 /pmc/articles/PMC6112085/ /pubmed/30206516 http://dx.doi.org/10.1016/j.invent.2018.05.002 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Full length Article
Alt, Dorit
Boniel-Nissim, Meyran
Links between Adolescents' Deep and Surface Learning Approaches, Problematic Internet Use, and Fear of Missing Out (FoMO)
title Links between Adolescents' Deep and Surface Learning Approaches, Problematic Internet Use, and Fear of Missing Out (FoMO)
title_full Links between Adolescents' Deep and Surface Learning Approaches, Problematic Internet Use, and Fear of Missing Out (FoMO)
title_fullStr Links between Adolescents' Deep and Surface Learning Approaches, Problematic Internet Use, and Fear of Missing Out (FoMO)
title_full_unstemmed Links between Adolescents' Deep and Surface Learning Approaches, Problematic Internet Use, and Fear of Missing Out (FoMO)
title_short Links between Adolescents' Deep and Surface Learning Approaches, Problematic Internet Use, and Fear of Missing Out (FoMO)
title_sort links between adolescents' deep and surface learning approaches, problematic internet use, and fear of missing out (fomo)
topic Full length Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112085/
https://www.ncbi.nlm.nih.gov/pubmed/30206516
http://dx.doi.org/10.1016/j.invent.2018.05.002
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