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Modeling communities in information systems : informal learning communities in social media

机译:信息系统中的社区建模:社交媒体中的非正式学习社区

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摘要

Information modeling is required for creating a successful information system while modeling of communities is pivotal for maintaining community information systems(CIS). Online social media, a special case of CIS, have been intensively used but not usually adopted for learning community needs. Thus community stakeholders meet problems by supporting learning communities in social media. Under the prism of Community of Practice theory, such communities have three dimensions that are responsible for community sustainability: mutual engagement, joint enterprises and shared repertoire. Existing modeling solutions use either perspectives of learning theories, or analysis of learner or community data captured in social media but rarely combine both approaches. Therefore, current solutions produce community models that supply only a part of community stakeholders with information that can hardly describe community success and failure. We also claim that community models must be created based on community data analysis integrated with our learning community dimensions. Moreover, the models need to be adapted according to environmental changes.This work provides a solution to continuous modeling of informal learning communities in social media. In particular, it makes the following contributions: 1. A metamodel of learning communities and its specific cases in social media. 2. A process of continuous community model creation that consists of four phases that model, refine, monitor and analyze learning communities. The phases and their realizations can be used to model any learning community with the purpose to support community evolution and to improve social media facilities to satisfy community needs. 3. Methods for community data analysis and storage have been exploited for retrieving learning community states to manage competences in a collaborative space and specifying culturally sensitive requirements of communities towards social media. 4. Our formal representation of a learning community has been used to model early requirements of learning communities and their evolution and to validate the effectiveness of possible community changes through multi-agent simulation.
机译:建立成功的信息系统需要信息建模,而社区建模对于维护社区信息系统(CIS)至关重要。在线社交媒体是独联体的一种特例,已被广泛使用,但通常不用于满足社区需求。因此,社区利益相关者通过支持社交媒体中的学习社区来解决问题。在实践社区理论的棱镜下,此类社区具有负责社区可持续性的三个维度:相互参与,联合企业和共享剧目。现有的建模解决方案要么使用学习理论的观点,要么使用对社交媒体中捕获的学习者或社区数据的分析,但很少将两种方法结合使用。因此,当前的解决方案产生了社区模型,该模型仅向社区利益相关者的一部分提供几乎无法描述社区成败的信息。我们还声称,社区模型必须基于与我们的学习社区维度相集成的社区数据分析来创建。此外,还需要根据环境变化来调整模型。这项工作为社交媒体中非正式学习社区的连续建模提供了解决方案。特别是,它做出了以下贡献:1.学习社区的元模型及其在社交媒体中的特定案例。 2.社区创建的连续过程,包括四个阶段,这些阶段对学习社区进行建模,完善,监控和分析。这些阶段及其实现可用于为任何学习社区建模,以支持社区发展并改善社交媒体设施以满足社区需求。 3.已经使用了用于社区数据分析和存储的方法来检索学习的社区状态,以在协作空间中管理能力,并指定社区对社交媒体的文化敏感要求。 4.我们对学习社区的正式代表已用于对学习社区的早期需求及其发展进行建模,并通过多主体模拟来验证社区可能发生的变化的有效性。

著录项

  • 作者

    Kensche Zinayida;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 eng
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