Suppr超能文献

新冠疫情隔离期间社交媒体过载对大学生学业成绩的影响

Effect of social media overload on college students' academic performance under the COVID-19 quarantine.

作者信息

Xu Yan, Li Yilan, Zhang Qingfang, Yue Xianghua, Ye Yan

机构信息

School of Transportation, Fujian University of Technology, Fuzhou, Fujian, China.

Guangdong University of Petrochemical Technology, Maoming, China.

出版信息

Front Psychol. 2022 Aug 29;13:890317. doi: 10.3389/fpsyg.2022.890317. eCollection 2022.

Abstract

Features and relevant services of online social media have been attracting users during the COVID-19 pandemic. Previous studies have shown that college students tend to use social media more frequently than other groups. However, in being affected by social media overload, the social media use behaviors of many college students have been out of their control in terms of their capabilities or cognition. Based on the stressor-strain-outcome (SSO) model and the theory of compensatory internet use (TCIU), we developed a research model to study the causes of social media overload and its impact on college students' academic performance during the COVID-19 pandemic. A total of 441 valid responses from college students through questionnaires in China are collected purposive sampling and used in the data analysis. This study conducts PLS-SEM to analyze collected data, finding that boredom proneness is associated with overload (stress), which has a bearing on social media overload (strain) and the reduction in final performance (outcome). Through illustrating the psychological and behavioral conditions that hinder the academic performance of students, this study provides deeper insights into students' uncontrollable use of social media. Moreover, with respect to the identified antecedents, this study aims to find solutions to mitigate the impact of social media overload resulting from boredom proneness on the academic performance of college students.

摘要

在新冠疫情期间,在线社交媒体的功能及相关服务吸引着用户。此前的研究表明,大学生使用社交媒体的频率往往高于其他群体。然而,受社交媒体过载影响,许多大学生的社交媒体使用行为在能力或认知方面已超出其控制范围。基于压力源 - 压力 - 结果(SSO)模型和补偿性互联网使用理论(TCIU),我们构建了一个研究模型,以探讨新冠疫情期间社交媒体过载的成因及其对大学生学业成绩的影响。通过在中国进行有目的抽样,共收集到441名大学生的有效问卷回复,并用于数据分析。本研究采用偏最小二乘法结构方程模型(PLS - SEM)对收集到的数据进行分析,发现无聊倾向与过载(压力)相关,这会导致社交媒体过载(压力)并降低最终成绩(结果)。通过阐明阻碍学生学业成绩的心理和行为状况,本研究为学生对社交媒体的失控使用提供了更深入的见解。此外,针对已确定的前因,本研究旨在找到解决方案,以减轻无聊倾向导致的社交媒体过载对大学生学业成绩的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b70/9465476/93a30713249d/fpsyg-13-890317-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验