Suppr超能文献

技术相关因素对学生学业成绩影响的荟萃分析。

A meta-analysis of the impact of technology related factors on students' academic performance.

作者信息

Kuş Metin

机构信息

Physical Education and Sports Department, Faculty of Sport Sciences, Hitit University, Çorum, Türkiye.

Distance Education, Application and Research Center, Hitit University, Çorum, Türkiye.

出版信息

Front Psychol. 2025 Feb 21;16:1524645. doi: 10.3389/fpsyg.2025.1524645. eCollection 2025.

Abstract

INTRODUCTION

The relationship between students' smartphone addiction, social media use, video games play, and their academic performance has been widely studied, yet the existing literature presents inconsistent findings. This meta-analysis synthesizes current research to provide a comprehensive examination of the impact of these technologies on academic achievement.

METHODS

A total of 63 studies (yielding 64 effect sizes) were included, encompassing a sample of 124,166 students from 28 countries. The meta-analysis utilized correlation coefficients and sample sizes, reporting results based on the random effects model. Key statistics such as the Fisher's value, confidence intervals, and heterogeneity () test results were considered, and publication bias was assessed using Begg and Mazumdar's rank correlation test, with the Kendall Tau coefficient determining bias significance.

RESULTS AND DISCUSSION

The meta-analysis revealed a small but statistically significant negative association between smartphone use, social media use, video game playing, and students' academic performance [(64) = 2501.93,  < 0.001,  = -0.085]. It is concluded that increased use of these technologies was associated with poorer academic outcomes, potentially impacting key cognitive skills essential for academic success. The implications for educational psychology research and future research directions are discussed.

摘要

引言

学生的智能手机成瘾、社交媒体使用、电子游戏行为与他们的学业成绩之间的关系已得到广泛研究,但现有文献的研究结果并不一致。本荟萃分析综合了当前的研究,以全面考察这些技术对学业成就的影响。

方法

共纳入63项研究(产生64个效应量),涵盖来自28个国家的124166名学生样本。荟萃分析采用相关系数和样本量,基于随机效应模型报告结果。考虑了关键统计量,如费舍尔值、置信区间和异质性()检验结果,并使用贝格和马宗达尔的秩相关检验评估发表偏倚,肯德尔tau系数确定偏倚的显著性。

结果与讨论

荟萃分析揭示了智能手机使用、社交媒体使用、电子游戏行为与学生学业成绩之间存在小但具有统计学意义的负相关关系[(64) = 2501.93, < 0.001, = -0.085]。研究得出结论,这些技术使用的增加与较差的学业成绩相关,可能会影响学业成功所需的关键认知技能。讨论了对教育心理学研究的启示和未来的研究方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3219/11894741/2a26948646fb/fpsyg-16-1524645-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