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Predicting the Learning Avoidance Motivation, Learning Commitment, and Silent Classroom Behavior of Chinese Vocational College Students Caused by Short Video Addiction

As short video addiction has gradually become an emerging Internet behavioral addiction, its negative impacts on the student population have been noticed and cannot be ignored. Based on a literature review, this study referred to the person-process-content framework and drew on the ecosystem theory...

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Autores principales: Ye, Jian-Hong, He, Zhen, Yang, Xiantong, Lee, Yi-Sang, Nong, Weiguaju, Ye, Jhen-Ni, Wang, Chiung-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094292/
https://www.ncbi.nlm.nih.gov/pubmed/37046912
http://dx.doi.org/10.3390/healthcare11070985
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author Ye, Jian-Hong
He, Zhen
Yang, Xiantong
Lee, Yi-Sang
Nong, Weiguaju
Ye, Jhen-Ni
Wang, Chiung-Ling
author_facet Ye, Jian-Hong
He, Zhen
Yang, Xiantong
Lee, Yi-Sang
Nong, Weiguaju
Ye, Jhen-Ni
Wang, Chiung-Ling
author_sort Ye, Jian-Hong
collection PubMed
description As short video addiction has gradually become an emerging Internet behavioral addiction, its negative impacts on the student population have been noticed and cannot be ignored. Based on a literature review, this study referred to the person-process-content framework and drew on the ecosystem theory to define the relationship between short video addiction, learning avoidance motivation, learning commitment, and silent classroom behavior by using structural equation modeling. This study recruited 1000 participants from Chinese vocational colleges to fill out questionnaires. With an effective recovery rate of 94.6%, there were 946 effective study participants comprising 445 males (47%) and 501 females (53%). After it was confirmed that the data passed the reliability and validity tests, structural equation model analysis was carried out. The study results showed that short video addiction was positively correlated with learning avoidance motivation, but negatively correlated with learning commitment; on the other hand, study avoidance motivation was negatively correlated with learning commitment, but positively correlated with silent classroom behavior. Meanwhile, there was a negative correlation between learning commitment and silent classroom behavior. As a result, the negative correlation between short video addiction and learning behavior needs attention from parents and teachers.
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spelling pubmed-100942922023-04-13 Predicting the Learning Avoidance Motivation, Learning Commitment, and Silent Classroom Behavior of Chinese Vocational College Students Caused by Short Video Addiction Ye, Jian-Hong He, Zhen Yang, Xiantong Lee, Yi-Sang Nong, Weiguaju Ye, Jhen-Ni Wang, Chiung-Ling Healthcare (Basel) Article As short video addiction has gradually become an emerging Internet behavioral addiction, its negative impacts on the student population have been noticed and cannot be ignored. Based on a literature review, this study referred to the person-process-content framework and drew on the ecosystem theory to define the relationship between short video addiction, learning avoidance motivation, learning commitment, and silent classroom behavior by using structural equation modeling. This study recruited 1000 participants from Chinese vocational colleges to fill out questionnaires. With an effective recovery rate of 94.6%, there were 946 effective study participants comprising 445 males (47%) and 501 females (53%). After it was confirmed that the data passed the reliability and validity tests, structural equation model analysis was carried out. The study results showed that short video addiction was positively correlated with learning avoidance motivation, but negatively correlated with learning commitment; on the other hand, study avoidance motivation was negatively correlated with learning commitment, but positively correlated with silent classroom behavior. Meanwhile, there was a negative correlation between learning commitment and silent classroom behavior. As a result, the negative correlation between short video addiction and learning behavior needs attention from parents and teachers. MDPI 2023-03-30 /pmc/articles/PMC10094292/ /pubmed/37046912 http://dx.doi.org/10.3390/healthcare11070985 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ye, Jian-Hong
He, Zhen
Yang, Xiantong
Lee, Yi-Sang
Nong, Weiguaju
Ye, Jhen-Ni
Wang, Chiung-Ling
Predicting the Learning Avoidance Motivation, Learning Commitment, and Silent Classroom Behavior of Chinese Vocational College Students Caused by Short Video Addiction
title Predicting the Learning Avoidance Motivation, Learning Commitment, and Silent Classroom Behavior of Chinese Vocational College Students Caused by Short Video Addiction
title_full Predicting the Learning Avoidance Motivation, Learning Commitment, and Silent Classroom Behavior of Chinese Vocational College Students Caused by Short Video Addiction
title_fullStr Predicting the Learning Avoidance Motivation, Learning Commitment, and Silent Classroom Behavior of Chinese Vocational College Students Caused by Short Video Addiction
title_full_unstemmed Predicting the Learning Avoidance Motivation, Learning Commitment, and Silent Classroom Behavior of Chinese Vocational College Students Caused by Short Video Addiction
title_short Predicting the Learning Avoidance Motivation, Learning Commitment, and Silent Classroom Behavior of Chinese Vocational College Students Caused by Short Video Addiction
title_sort predicting the learning avoidance motivation, learning commitment, and silent classroom behavior of chinese vocational college students caused by short video addiction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094292/
https://www.ncbi.nlm.nih.gov/pubmed/37046912
http://dx.doi.org/10.3390/healthcare11070985
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