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Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis

The adoption of online learning for adolescent students accelerated with the outbreak of the COVID-19 pandemic. However, few studies have investigated the mechanisms influencing adolescent students’ online learning engagement systematically and comprehensively. This study applied the Presage-Process...

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Detalles Bibliográficos
Autores principales: Li, Huan, Zhu, Sha, Wu, Di, Yang, Harrison Hao, Guo, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061396/
https://www.ncbi.nlm.nih.gov/pubmed/37361741
http://dx.doi.org/10.1007/s10639-023-11760-2
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author Li, Huan
Zhu, Sha
Wu, Di
Yang, Harrison Hao
Guo, Qing
author_facet Li, Huan
Zhu, Sha
Wu, Di
Yang, Harrison Hao
Guo, Qing
author_sort Li, Huan
collection PubMed
description The adoption of online learning for adolescent students accelerated with the outbreak of the COVID-19 pandemic. However, few studies have investigated the mechanisms influencing adolescent students’ online learning engagement systematically and comprehensively. This study applied the Presage-Process-Product (3P) model of learning to investigate the direct effects of presage factors (i.e., information literacy and self-directed learning skills) and process factors (i.e., academic emotions) on high school students’ online learning engagement; and the mediating role of process factors. Data from 1993 high school students in China (49.3% males and 50.7% females) were analyzed using structural equation modeling. The result showed that students’ information literacy, self-directed learning skills, and positive academic emotions positively predicted their online learning engagement. Moreover, the positive impact of self-directed learning skills on students’ online learning engagement was significantly and largely enhanced through the mediation effects of positive academic emotions ([Formula: see text] = 0.606, 95% CI = [0.544, 0.674]). Based on these results, to enhance adolescent students’ online learning engagement, it is important for school administrators, teachers, and parents to improve students’ information literacy, self-directed learning skills, and positive academic emotions.
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spelling pubmed-100613962023-03-30 Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis Li, Huan Zhu, Sha Wu, Di Yang, Harrison Hao Guo, Qing Educ Inf Technol (Dordr) Article The adoption of online learning for adolescent students accelerated with the outbreak of the COVID-19 pandemic. However, few studies have investigated the mechanisms influencing adolescent students’ online learning engagement systematically and comprehensively. This study applied the Presage-Process-Product (3P) model of learning to investigate the direct effects of presage factors (i.e., information literacy and self-directed learning skills) and process factors (i.e., academic emotions) on high school students’ online learning engagement; and the mediating role of process factors. Data from 1993 high school students in China (49.3% males and 50.7% females) were analyzed using structural equation modeling. The result showed that students’ information literacy, self-directed learning skills, and positive academic emotions positively predicted their online learning engagement. Moreover, the positive impact of self-directed learning skills on students’ online learning engagement was significantly and largely enhanced through the mediation effects of positive academic emotions ([Formula: see text] = 0.606, 95% CI = [0.544, 0.674]). Based on these results, to enhance adolescent students’ online learning engagement, it is important for school administrators, teachers, and parents to improve students’ information literacy, self-directed learning skills, and positive academic emotions. Springer US 2023-03-30 /pmc/articles/PMC10061396/ /pubmed/37361741 http://dx.doi.org/10.1007/s10639-023-11760-2 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Li, Huan
Zhu, Sha
Wu, Di
Yang, Harrison Hao
Guo, Qing
Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis
title Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis
title_full Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis
title_fullStr Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis
title_full_unstemmed Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis
title_short Impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: A structural equation modeling analysis
title_sort impact of information literacy, self-directed learning skills, and academic emotions on high school students’ online learning engagement: a structural equation modeling analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061396/
https://www.ncbi.nlm.nih.gov/pubmed/37361741
http://dx.doi.org/10.1007/s10639-023-11760-2
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