Exploring the Bright and Dark Sides of Social Media Use on Academic Performance: Contrasting Effects on Actual vs. Perceived Performance

IF 5.1 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Journal of Computer Assisted Learning Pub Date : 2024-12-22 DOI:10.1111/jcal.13111
Miao Chao, Weiyi Sun, Jie Liu, Jiahui Ding, Ye Zhu
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引用次数: 0

Abstract

Background

The use of social media among students has become debatable concern due to both positive and negative effects on academic performance. Yet, understanding of the diverse patterns of social media use and their influence on actual and perceived academic performance remains limited.

Objectives

This study distinguishes between academic and excessive social media usage that predicts academic performance while considering academic motivation as a predictive antecedent variable.

Methods

A sample of 887 high school students participated in this study through an online questionnaire. The research model was evaluated using the structural equation modelling approach.

Results and Conclusions

The results revealed that academic motivation prompts academic social media usage and reduces excessive use. Additionally, academic usage positively impacts perceived academic performance but has no impact on actual performance. Paradoxically, although excessive use doesn't affect perceived academic performance, there is an observed negative impact on actual academic performance. These findings provide valuable insights for students and educators, illuminating the limitations of academic social media usage and highlighting the detrimental effects of excessive social media use.

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来源期刊
Journal of Computer Assisted Learning
Journal of Computer Assisted Learning EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
9.70
自引率
6.00%
发文量
116
期刊介绍: The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope
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