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A Glance into Social and Evolutionary Aspects of an Artifact Ecology for Collaborative Learning through the Lens of Distributed Cognition

机译:通过分布式认知的视角探究用于协作学习的人工生态的社会和进化方面

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There is steadily growing interest in the design and evaluation of digitally enhanced spaces in the real-world where users use, combine, and appropriate different physical and digital tools based on the task at hand. Under the notion of ubiquitous computing, researchers have explored tools and theories to analyze, understand, and model users in complex socio-technical systems. Yet, even though theoretical approaches play a significant role in the work of practitioners, there is a general difficulty in applying them, pushing researchers to explore methodological frameworks with clearer guidelines. Using the distributed cognition for teamwork (DiCoT) framework, we study collaboration and communication patterns, physical movement, and social structures of two groups of learners working on a design problem as they evolve over a 3-month period. Through an in-depth investigation, we present detailed accounts of the social and evolutionary models of DiCoT for each group. Our analysis enriches the DiCoT framework by identifying five new principles: social emersion and social circles of privacy for the social model, and continuity, mutual adaptation, and semantics of body for the evolutionary model. This article contributes to HCI research by refining and extending the existing DiCoT framework and elaborating on two dimensions that have previously been under-developed in the literature.
机译:在现实世界中,设计和评估数字增强空间的兴趣与日俱增,用户可以根据手头的任务使用,组合和使用不同的物理和数字工具。在无处不在的计算概念下,研究人员探索了工具和理论,以分析,理解和建模复杂的社会技术系统中的用户。然而,尽管理论方法在从业者的工作中起着重要作用,但在应用这些方法时仍然存在一个普遍的困难,这迫使研究人员以更清晰的指导方针探索方法框架。通过使用分布式团队协作认知(DiCoT)框架,我们研究了在设计问题上为期三个月的两组学习者的协作和交流模式,身体运动和社会结构。通过深入调查,我们为每个小组介绍了DiCoT的社会和进化模型的详细情况。我们的分析通过识别五项新原则丰富了DiCoT框架:用于社会模型的社交出现和隐私的社交圈,以及用于进化模型的连续性,相互适应性和身体的语义。本文通过完善和扩展现有的DiCoT框架,并详细阐述了文献中先前尚未开发的两个方面,为HCI研究做出了贡献。

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