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How ‘Networked’ are Online Collaborative Concept-Maps? Introducing Metrics for Quantifying and Comparing the ‘Networkedness’ of Collaboratively Constructed Content

机译:如何“网络”是在线协作概念地图?介绍量化和比较协同构建内容的“网络网络”的指标

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With the growing role of online multi-participant collaborations in shaping the academic, professional, and civic spheres, incorporating collaborative online practices in educational settings has become imperative. As more educators include such practices in their curricula, they are faced with new challenges. Assessment of collaborations, especially in larger groups, is particularly challenging. Assessing the quality of the collaborative “thought process” and its product is essential for both pedagogical and evaluative purposes. While traditional quantitative quality measures were designed for individual work or the aggregated work of individuals, capturing the complexity and the integrative nature of high-quality collaborative learning requires novel methodologies. Network analysis provides methods and tools that can identify, describe, and quantify non-linear and complex phenomena. This paper applies network analysis to the content created by students through large-scale online collaborative concept-mapping and explores how these can be applied for the assessment of the quality of a collective product. Quantitative network structure measures are introduced for this purpose. The application and the affordances of these metrics are demonstrated on data from six large-group online collaborative discussions from academic settings. The metrics presented here address the organization and the integration of the content and enable a comparison of collaborative discussions.
机译:随着在线多参与者合作在塑造学术,专业和公民领域的越来越越来越大的作用,在教育环境中纳入协作的在线实践已经成为必不可少的。随着更多教育工作者在课程中包括此类做法,他们面临着新的挑战。评估合作,特别是在更大的群体中的合作尤其具有挑战性。评估协作“思想过程”的质量及其产品对于教学和评估目的至关重要。虽然传统的定量质量措施是为个人工作或个人的汇总工作而设计的,但捕获了高质量的协作学习的复杂性和综合性需要新颖的方法。网络分析提供了可以识别,描述和量化非线性和复杂现象的方法和工具。本文通过大规模在线协同概念 - 映射对学生创建的内容应用网络分析,并探讨如何申请如何评估集体产品的质量。为此目的介绍了定量网络结构措施。这些指标的申请和可取性在学术环境中的六个大集团在线协同讨论中进行了证明。这里呈现的指标介绍了组织和内容的集成并启用了协作讨论的比较。

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