Learning communities, social media, and learning performance: Transactive memory system perspective

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ming-Huei Chen , Somya Agrawal , Sung-Min Lin , Wei-Ling Liang
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引用次数: 2

Abstract

Taking the Transactive Memory System (TMS) perspective, this study aims to explore how social media usage in learning communities stimulates learning performance within teams when team knowledge sharing, team efficacy and team bonding embody the core elements in transactive communication processes. Data were collected from 64 student project teams in three waves using a time-lagged approach and team dynamics were examined across different stages of the project. Results were significantly positive for social media usage in learning communities, demonstrating varied impacts of TMS on team learning performance. Findings show that increase in social media usage facilitated team bonding, knowledge sharing and team efficacy within project teams. Interestingly, the results related to TMS had a positive impact on team learning performance only through team efficacy and team bonding, while knowledge sharing had no impact. These findings provide useful insights for educational practitioners and future employers about formulating strategies such that project teams can develop TMS needed to organize and execute actions required to effectively make social media usage decisions that influence team performance. This paper advances the TMS theory by highlighting the role of social media in enhancing team learning performance while working in project-based teams.

学习社区、社交媒体和学习表现:跨活动记忆系统视角
本研究从跨活动记忆系统(TMS)的角度出发,旨在探讨当团队知识共享、团队效能和团队凝聚力是跨活动沟通过程的核心要素时,学习社区中的社交媒体使用如何刺激团队内的学习表现。使用时间滞后方法从64个学生项目团队中分三波收集数据,并在项目的不同阶段检查团队动态。研究结果对学习社区的社交媒体使用具有显著的积极意义,表明TMS对团队学习表现的影响各不相同。研究结果表明,社交媒体使用量的增加促进了项目团队内的团队凝聚力、知识共享和团队效能。有趣的是,与TMS相关的结果仅通过团队效能和团队纽带对团队学习绩效产生积极影响,而知识共享没有影响。这些发现为教育从业者和未来的雇主制定战略提供了有用的见解,使项目团队能够制定TMS,以组织和执行有效制定影响团队绩效的社交媒体使用决策所需的行动。本文通过强调社交媒体在项目团队中提高团队学习绩效的作用,提出了TMS理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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